Home / Leagues / Finland / Ykkönen / 2016
‹ ›

2016 Ykkönen Season

135 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

JJK

12.17 points above expected

52 points · 39.83 expected points

Biggest Disappointment

KTP

9.57 points below expected

28 points · 37.57 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 JJK 27 16 4 7 52 49 38 +11 39.83 +12.17
2 TPS Turku 27 16 3 8 51 60 38 +22 41.90 +9.10
3 Jaro 27 12 8 7 44 47 33 +14 42.78 +1.22
4 AC Oulu 27 12 7 8 43 50 31 +19 42.65 +0.35
5 KPV 27 11 6 10 39 40 43 -3 35.58 +3.42
6 Grankulla 27 11 3 13 36 33 43 -10 35.20 +0.80
7 Haka 27 8 8 11 32 42 46 -4 36.72 -4.72
8 Ekenas 27 10 1 16 31 36 53 -17 31.90 -0.90
9 KTP 27 6 10 11 28 47 50 -3 37.57 -9.57
10 FC Jazz 27 4 8 15 20 35 64 -29 24.64 -4.64

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 JJK 52 39.83 +12.17
2 TPS Turku 51 41.90 +9.10
3 KPV 39 35.58 +3.42
4 Jaro 44 42.78 +1.22
5 Grankulla 36 35.20 +0.80

Biggest Disappointments

# Team Actual Sim vsSim
1 KTP 28 37.57 -9.57
2 Haka 32 36.72 -4.72
3 FC Jazz 20 24.64 -4.64
4 Ekenas 31 31.90 -0.90
5 AC Oulu 43 42.65 +0.35

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 JJK 5 Jun 18 – Jul 19 1 in 222
2 Jaro 6 Aug 7 – Sep 11 1 in 185
3 TPS Turku 5 May 29 – Jun 19 1 in 163
4 AC Oulu 4 Jun 12 – Jul 3 1 in 58
5 Grankulla 3 Oct 2 – Oct 22 1 in 33

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 KPV 5 Jun 28 – Jul 17 1 in 142
2 Ekenas 5 Jul 24 – Aug 21 1 in 53
3 KTP 4 Jun 18 – Jul 11 1 in 39
4 FC Jazz 4 Apr 29 – May 14 1 in 34
5 Grankulla 4 Jul 30 – Aug 20 1 in 33

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 FC Jazz 5 Aug 28 – Sep 18 1 in 53
2 Jaro 9 Jul 23 – Sep 15 1 in 27
3 AC Oulu 8 Jun 12 – Aug 3 1 in 16
4 KTP 6 Jul 16 – Aug 22 1 in 14
5 KPV 5 Apr 24 – May 21 1 in 11

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 KTP 8 Aug 28 – Oct 22 1 in 50
2 AC Oulu 4 Sep 1 – Sep 25 1 in 20
3 FC Jazz 8 Apr 29 – Jun 11 1 in 14
4 Jaro 5 Jul 3 – Aug 3 1 in 12
5 KPV 6 Jun 28 – Jul 23 1 in 11

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
JJK 1170 52 +32 12 7.7 +4.3
TPS Turku 1225 51 +48 13 8.3 +4.7
Jaro 1218 44 -1 9 8.9 +0.1
AC Oulu 1192 43 -11 5 8.0 -3.0
KPV 1081 39 -10 6 6.3 -0.3
Grankulla 1104 36 +16 9 6.6 +2.4
Haka 1091 32 -11 5 6.9 -1.9
Ekenas 1033 31 -22 3 4.6 -1.6
KTP 1104 28 -9 4 6.5 -2.5
FC Jazz 964 20 -33 2 4.7 -2.7

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AO EKE FJ GRA HAK JJK JAR KPV KTP TT
AC Oulu —
3-0-0
5.34
1-2-0
5.90
2-0-1
4.80
1-2-0
4.47
1-0-2
4.06
1-0-2
4.42
1-2-0
4.44
2-1-0
4.06
0-0-3
4.72
Ekenas
0-0-3
2.88
—
2-0-1
4.86
2-0-1
4.06
1-1-1
3.99
1-0-2
3.23
1-0-2
3.29
0-0-3
3.54
3-0-0
3.31
0-0-3
2.80
FC Jazz
0-2-1
2.37
1-0-2
3.33
—
1-1-1
2.69
1-0-2
3.34
0-1-2
2.82
1-1-1
2.07
0-2-1
3.04
0-1-2
3.30
0-0-3
2.52
Grankulla
1-0-2
3.43
1-0-2
4.11
1-1-1
5.53
—
2-0-1
4.15
0-0-3
3.63
1-1-1
2.94
2-0-1
3.69
2-1-0
4.14
1-0-2
3.89
Haka
0-2-1
3.72
1-1-1
4.19
2-0-1
4.86
1-0-2
4.03
—
1-0-2
3.85
0-2-1
3.32
2-0-1
4.40
0-3-0
3.68
1-0-2
3.92
JJK
2-0-1
4.13
2-0-1
4.98
2-1-0
5.42
3-0-0
4.55
2-0-1
4.32
—
2-1-0
4.01
1-0-2
4.93
1-1-1
3.80
1-1-1
3.62
Jaro
2-0-1
3.77
2-0-1
4.90
1-1-1
6.22
1-1-1
5.28
1-2-0
4.90
0-1-2
4.17
—
1-1-1
4.99
2-1-0
4.17
2-1-0
4.24
KPV
0-2-1
3.76
3-0-0
4.64
1-2-0
5.17
1-0-2
4.49
1-0-2
3.79
2-0-1
3.26
1-1-1
3.19
—
1-1-1
4.22
1-0-2
3.32
KTP
0-1-2
4.12
0-0-3
4.90
2-1-0
4.89
0-1-2
4.03
0-3-0
4.51
1-1-1
4.38
0-1-2
4.04
1-1-1
3.96
—
2-1-0
3.35
TPS Turku
3-0-0
3.46
3-0-0
5.46
3-0-0
5.74
2-0-1
4.29
2-0-1
4.27
1-1-1
4.57
0-1-2
3.95
2-0-1
4.89
0-1-2
4.84
—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.51 +8.8
Allowed 0.75 -8.9
Differential 0.78 +5.5

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
02.22%6.67%5.93%5.56%0.37%1.11%21.85%
16.67%10.37%6.30%2.96%1.85%0.74%28.89%
25.93%6.30%5.93%4.81%1.11%0.37%24.44%
35.56%2.96%4.81%2.96%0.74%0.74%17.78%
40.37%1.85%1.11%0.74%——4.07%
5+1.11%0.74%0.37%0.74%——2.96%
Total21.85%28.89%24.44%17.78%4.07%2.96%100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.63 +0.00
SD 1.29 1.29 1.91
CV 0.79 0.79 —
Max 6 6 +6
Min 0 0 -6

Games Played: 135

↓ Scored | Allowed →012345+Total
03.70%18.52%—3.70%——25.93%
13.70%7.41%3.70%3.70%——18.52%
23.70%—14.81%———18.52%
314.81%7.41%————22.22%
4—11.11%————11.11%
5+———3.70%——3.70%
Total25.93%44.44%18.52%11.11%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 1.15 +0.70
SD 1.51 0.95 1.81
CV 0.82 0.83 —
Max 5 3 +3
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
0——18.52%7.41%—3.70%29.63%
17.41%3.70%14.81%—3.70%—29.63%
23.70%7.41%—7.41%——18.52%
33.70%7.41%7.41%——3.70%22.22%
4———————
5+———————
Total14.81%18.52%40.74%14.81%3.70%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.96 -0.63
SD 1.14 1.34 1.94
CV 0.86 0.68 —
Max 3 5 +3
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%14.81%—3.70%3.70%25.93%
13.70%14.81%7.41%3.70%3.70%3.70%37.04%
2—3.70%11.11%7.41%——22.22%
3——3.70%3.70%3.70%—11.11%
4———3.70%——3.70%
5+———————
Total3.70%22.22%37.04%18.52%11.11%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 2.37 -1.07
SD 1.10 1.36 1.71
CV 0.85 0.57 —
Max 4 6 +1
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%7.41%14.81%——29.63%
114.81%7.41%3.70%3.70%——29.63%
211.11%7.41%3.70%7.41%3.70%—33.33%
3——3.70%———3.70%
4——3.70%———3.70%
5+———————
Total25.93%22.22%22.22%25.93%3.70%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.59 -0.37
SD 1.05 1.25 1.71
CV 0.86 0.78 —
Max 4 4 +2
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%7.41%3.70%7.41%——22.22%
1—11.11%11.11%3.70%——25.93%
27.41%7.41%7.41%3.70%3.70%—29.63%
33.70%—7.41%7.41%——18.52%
4—3.70%————3.70%
5+———————
Total14.81%29.63%29.63%22.22%3.70%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.70 -0.15
SD 1.15 1.10 1.59
CV 0.74 0.65 —
Max 4 4 +3
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%—3.70%—3.70%11.11%
111.11%7.41%3.70%3.70%—3.70%29.63%
211.11%11.11%7.41%3.70%——33.33%
311.11%3.70%3.70%———18.52%
4——7.41%———7.41%
5+———————
Total33.33%25.93%22.22%11.11%—7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.41 +0.41
SD 1.11 1.45 2.06
CV 0.61 1.03 —
Max 4 5 +3
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%7.41%3.70%3.70%——22.22%
13.70%18.52%—3.70%——25.93%
23.70%7.41%3.70%—3.70%—18.52%
311.11%3.70%7.41%—3.70%—25.93%
4—3.70%————3.70%
5+3.70%—————3.70%
Total29.63%40.74%14.81%7.41%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.74 1.22 +0.52
SD 1.38 1.19 1.87
CV 0.79 0.97 —
Max 5 4 +5
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%3.70%3.70%11.11%——25.93%
111.11%7.41%3.70%—3.70%—25.93%
27.41%3.70%3.70%7.41%——22.22%
37.41%—11.11%3.70%—3.70%25.93%
4———————
5+———————
Total33.33%14.81%22.22%22.22%3.70%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.59 -0.11
SD 1.16 1.45 1.76
CV 0.78 0.91 —
Max 3 5 +3
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
0—11.11%3.70%3.70%——18.52%
13.70%22.22%11.11%3.70%3.70%—44.44%
2——3.70%3.70%——7.41%
3—3.70%—11.11%——14.81%
4———3.70%——3.70%
5+3.70%—3.70%3.70%——11.11%
Total7.41%37.04%22.22%29.63%3.70%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.74 1.85 -0.11
SD 1.58 1.06 1.72
CV 0.91 0.57 —
Max 5 4 +5
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%3.70%———7.41%
17.41%3.70%3.70%3.70%3.70%—22.22%
211.11%14.81%3.70%7.41%—3.70%40.74%
33.70%3.70%3.70%3.70%——14.81%
43.70%—————3.70%
5+3.70%7.41%————11.11%
Total29.63%33.33%14.81%14.81%3.70%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 2.22 1.41 +0.81
SD 1.45 1.37 2.22
CV 0.65 0.97 —
Max 6 5 +6
Min 0 0 -3

Games Played: 27

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Jaro 1218 44 42.78 +1.22 61.0% 26 32 38 42 47 51 60
TPS Turku 1212 51 41.90 +9.10 90.0% 22 30 37 42 46 53 59
AC Oulu 1192 43 42.65 +0.35 54.0% 25 32 38 43 47 54 57
JJK 1170 52 39.83 +12.17 98.0% 25 27 36 41 43 49 53
Grankulla 1104 36 35.20 +0.80 59.0% 19 23 31 35 40 46 48
KTP 1104 28 37.57 -9.57 9.0% 20 27 33 37 42 49 59
Haka 1091 32 36.72 -4.72 28.0% 24 26 31 38 41 46 51
KPV 1081 39 35.58 +3.42 73.0% 20 25 31 36 40 47 49
Ekenas 1033 31 31.90 -0.90 48.0% 18 22 27 32 35 43 48
FC Jazz 964 20 24.64 -4.64 22.0% 13 15 21 25 28 34 39

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+13.33%
Slight Edge
45.93%21.48%32.59%
Elo Value
Home Edge: 46.60 Elo pts.
180 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.36 goals
Neutral
-2+0.26+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 5th * Longshot: 6th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.
Title-Race Openness
5.3
Wide Open
123410
Champion Preseason Odds
8%
JJK, 5th of 10
LongshotFavorite
Title Margin
Expected
0.04/gm
Photo Finish
00.150.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.15 * Some Luck: 5.15 to 7.73 * Lucky: 7.73 to 10.3 * Wild Swing: 10.3 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.56 * Close: 1.56 to 2.34 * Off: 2.34 to 3.12 * Way Off: 3.12 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
6.13 points
Some Luck
06.4416
Average Finish Error
Expected
1.80
Close
01.954
Biggest Overachiever
Expected 95.00%
98.00%
JJK
50100
Biggest Underachiever
Expected 5.00%
9.00%
KTP
050
Season Outliers
Expected
1 of 10
Minimal Outliers
01.010

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 85% * Clear Edge: 85% to 91% * Strong Edge: 91% to 95% * Dominant: 95% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.
Gini Index
0.15
Even
00.130.20.5
Noll-Scully
Elo SD: 83.78
1.46
Coin-Flip Parity
0.751.51.82.153
Interquartile Edge
64%
Slight Edge
50%63.5%74.5%100%
Best vs. Worst
Baseline
82%
Even
50%83%100%
Close Games
Expected
59%
Some Drama
0%57%100%
Blowouts
Expected
20%
Frequent
0%19%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.38 * Some Carryover: 0.38 to 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.
Brier Score
Expected
0.64
Hard to Predict
00.632
Matchup Imbalance
0.30
Very Even
00.340.420.5
Strangeness
Expected
0.91
As Expected
01.002
Repeatability
0.21
Weak Carryover
00.380.570.71
Upset Rate
Expected
30%
Very Upset-Prone
0%25%50%
Clear Favorite Upset Rate
Expected
29%
Very Shaky
0%22%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.2 * Above Noise: 0.2 to 0.27 * Well Above Noise: 0.27 and up.
Probability calibration
0.28
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.64
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.076
Well Within Noise
00.1340.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910
JJK8.00%14.00%19.00%16.00%14.00%11.00%5.00%5.00%8.00%—
TPS Turku24.00%16.00%16.00%14.00%4.00%9.00%6.00%6.00%4.00%1.00%
Jaro22.00%20.00%13.00%12.00%14.00%9.00%6.00%1.00%2.00%1.00%
AC Oulu25.00%24.00%10.00%13.00%9.00%5.00%6.00%6.00%1.00%1.00%
KPV6.00%2.00%12.00%12.00%7.00%15.00%16.00%13.00%11.00%6.00%
Grankulla1.00%6.00%5.00%12.00%15.00%12.00%13.00%11.00%20.00%5.00%
Haka4.00%6.00%16.00%9.00%15.00%13.00%12.00%14.00%6.00%5.00%
Ekenas—3.00%3.00%1.00%9.00%12.00%13.00%24.00%20.00%15.00%
KTP10.00%9.00%5.00%10.00%12.00%13.00%16.00%11.00%7.00%7.00%
FC Jazz——1.00%1.00%1.00%1.00%7.00%9.00%21.00%59.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Direct promotion Lost promotion playoff Same level Direct relegation
AC Oulu 25.00% 24.00% 49.00% 2.00%
Jaro 22.00% 20.00% 55.00% 3.00%
JJK 8.00% 14.00% 70.00% 8.00%
TPS Turku — 100% — —
KTP 10.00% 9.00% 67.00% 14.00%
Haka 4.00% 6.00% 79.00% 11.00%
KPV 6.00% 2.00% 75.00% 17.00%
Grankulla 1.00% 6.00% 68.00% 25.00%
Ekenas — 3.00% 62.00% 35.00%
FC Jazz — — 20.00% 80.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2016-04-24 AC Oulu W 1-037.1 1153 1116 50.64% 26.61% 22.75%+0.47 +6.6 3
2016-04-24 @ Grankulla L 0-137.1 1116 1153 22.75% 26.61% 50.64%-0.47 -6.6 0
2016-04-24 Ekenas W 2-035.6 1076 1103 42.38% 27.64% 29.98%+0.11 +15.5 3
2016-04-24 @ KPV L 0-235.6 1103 1076 29.98% 27.64% 42.38%-0.11 -15.5 0
2016-04-24 JJK D 1-151.8 1140 1111 49.63% 26.78% 23.59%+0.42 -1.4 1
2016-04-24 @ KTP D 1-151.8 1111 1140 23.59% 26.78% 49.63%-0.42 +1.4 1
2016-04-24 TPS Turku W 2-143.9 1120 1130 44.57% 27.46% 27.98%+0.20 +7.3 3
2016-04-24 @ Haka L 1-243.9 1130 1120 27.98% 27.46% 44.57%-0.20 -7.3 0
2016-04-29 AC Oulu D 1-151.8 1139 1109 49.66% 26.78% 23.56%+0.42 -1.4 2
2016-04-29 @ KTP D 1-151.8 1109 1139 23.56% 26.78% 49.66%-0.42 +1.4 1
2016-04-29 Ekenas W 3-031.2 1112 1087 49.09% 26.87% 24.04%+0.40 +18.8 4
2016-04-29 @ JJK L 0-331.2 1087 1112 24.04% 26.87% 49.09%-0.40 -18.8 0
2016-04-29 Grankulla W 3-035.0 1092 1160 36.50% 27.86% 35.64%-0.12 +25.6 6
2016-04-29 @ KPV L 0-335.0 1160 1092 35.64% 27.86% 36.50%+0.12 -25.6 3
2016-04-29 Haka L 1-247.3 1077 1127 39.09% 27.81% 33.10%-0.02 -9.4 0
2016-04-29 @ FC Jazz W 2-147.3 1127 1077 33.10% 27.81% 39.09%+0.02 +9.4 6
2016-04-29 TPS Turku D 1-151.8 1158 1122 50.40% 26.65% 22.95%+0.46 -1.5 1
2016-04-29 @ Jaro D 1-151.8 1122 1158 22.95% 26.65% 50.40%-0.46 +1.5 1
2016-05-04 FC Jazz W 3-248.8 1068 1067 45.99% 27.30% 26.70%+0.26 +6.7 3
2016-05-04 @ Ekenas L 2-348.8 1067 1068 26.70% 27.30% 45.99%-0.26 -6.7 0
2016-05-04 Jaro L 0-142.5 1110 1156 39.66% 27.79% 32.55%+0.00 -10.1 1
2016-05-04 @ AC Oulu W 1-042.5 1156 1110 32.55% 27.79% 39.66%+0.00 +10.1 4
2016-05-04 KPV L 0-338.5 1136 1117 48.32% 26.99% 24.69%+0.36 -32.3 6
2016-05-04 @ Haka W 3-038.5 1117 1136 24.69% 26.99% 48.32%-0.36 +32.3 9
2016-05-04 KTP D 1-151.6 1134 1137 45.49% 27.36% 27.15%+0.24 -0.9 4
2016-05-04 @ Grankulla D 1-151.6 1137 1134 27.15% 27.36% 45.49%-0.24 +0.9 3
2016-05-08 Ekenas L 1-251.1 1138 1075 53.70% 25.97% 20.33%+0.61 -12.2 3
2016-05-08 @ KTP W 2-151.1 1075 1138 20.33% 25.97% 53.70%-0.61 +12.1 6
2016-05-08 FC Jazz W 4-136.0 1100 1061 50.89% 26.56% 22.55%+0.48 +15.0 4
2016-05-08 @ AC Oulu L 1-436.0 1061 1100 22.55% 26.56% 50.89%-0.48 -15.0 0
2016-05-08 Grankulla W 1-038.6 1131 1133 45.56% 27.35% 27.09%+0.24 +7.6 7
2016-05-08 @ JJK L 0-138.6 1133 1131 27.09% 27.35% 45.56%-0.24 -7.6 4
2016-05-08 Haka D 0-048.1 1167 1104 53.60% 26.00% 20.40%+0.61 -2.0 5
2016-05-08 @ Jaro D 0-048.1 1104 1167 20.40% 26.00% 53.60%-0.61 +2.0 7
2016-05-14 AC Oulu D 2-257.4 1150 1115 50.22% 26.68% 23.09%+0.45 -1.1 10
2016-05-14 @ KPV D 2-257.4 1115 1150 23.09% 26.68% 50.22%-0.45 +1.1 5
2016-05-14 KTP L 3-454.7 1046 1126 34.74% 27.85% 37.41%-0.19 -8.0 0
2016-05-14 @ FC Jazz W 4-354.7 1126 1046 37.41% 27.85% 34.74%+0.19 +8.0 6
2016-05-15 TPS Turku W 1-038.4 1126 1124 46.18% 27.28% 26.54%+0.27 +7.5 7
2016-05-15 @ Grankulla L 0-138.4 1124 1126 26.54% 27.28% 46.18%-0.27 -7.5 1
2016-05-16 Haka D 1-151.5 1087 1106 43.39% 27.56% 29.05%+0.15 -0.7 7
2016-05-16 @ Ekenas D 1-151.5 1106 1087 29.05% 27.56% 43.39%-0.15 +0.7 8
2016-05-16 Jaro D 1-151.5 1139 1165 42.41% 27.64% 29.95%+0.11 -0.6 8
2016-05-16 @ JJK D 1-151.5 1165 1139 29.95% 27.64% 42.41%-0.11 +0.6 6
2016-05-20 KTP L 2-545.9 1116 1134 43.50% 27.55% 28.95%+0.16 -21.7 1
2016-05-20 @ TPS Turku W 5-245.9 1134 1116 28.95% 27.55% 43.50%-0.16 +21.7 9
2016-05-21 AC Oulu D 2-257.1 1107 1116 44.59% 27.45% 27.96%+0.20 -0.6 9
2016-05-21 @ Haka D 2-257.1 1116 1107 27.96% 27.45% 44.59%-0.20 +0.6 6
2016-05-21 JJK D 2-257.0 1038 1138 32.04% 27.77% 40.19%-0.30 +0.3 1
2016-05-21 @ FC Jazz D 2-257.0 1138 1038 40.19% 27.77% 32.04%+0.30 -0.3 9
2016-05-21 KPV L 0-144.8 1165 1149 48.02% 27.04% 24.95%+0.35 -11.8 6
2016-05-21 @ Jaro W 1-044.8 1149 1165 24.95% 27.04% 48.02%-0.35 +11.7 13
2016-05-23 Grankulla W 3-034.1 1086 1133 39.52% 27.80% 32.69%+0.00 +24.0 10
2016-05-23 @ Ekenas L 0-334.1 1133 1086 32.69% 27.80% 39.52%+0.00 -24.0 7
2016-05-27 KPV W 3-033.1 1138 1160 42.85% 27.61% 29.54%+0.13 +22.2 12
2016-05-27 @ JJK L 0-333.1 1160 1138 29.54% 27.61% 42.85%-0.13 -22.2 13
2016-05-28 Haka W 2-143.3 1109 1106 46.32% 27.26% 26.42%+0.28 +7.0 10
2016-05-28 @ Grankulla L 1-243.3 1106 1109 26.42% 27.26% 46.32%-0.28 -7.0 9
2016-05-28 Jaro L 1-249.3 1156 1153 46.21% 27.28% 26.51%+0.27 -10.7 9
2016-05-28 @ KTP W 2-149.3 1153 1156 26.51% 27.28% 46.21%-0.27 +10.7 9
2016-05-29 Ekenas W 5-346.6 1117 1110 46.77% 27.21% 26.03%+0.30 +10.1 9
2016-05-29 @ AC Oulu L 3-546.6 1110 1117 26.03% 27.21% 46.77%-0.30 -10.1 10
2016-05-29 FC Jazz W 5-134.0 1094 1038 52.89% 26.15% 20.95%+0.57 +18.2 4
2016-05-29 @ TPS Turku L 1-534.0 1038 1094 20.95% 26.15% 52.89%-0.57 -18.2 1
2016-06-05 FC Jazz D 1-152.3 1116 1020 57.40% 25.00% 17.59%+0.79 -2.2 11
2016-06-05 @ Grankulla D 1-152.3 1020 1116 17.59% 25.00% 57.40%-0.79 +2.2 2
2016-06-05 JJK W 3-251.4 1099 1160 37.55% 27.85% 34.60%-0.08 +8.2 12
2016-06-05 @ Haka L 2-351.4 1160 1099 34.60% 27.85% 37.55%+0.08 -8.2 12
2016-06-05 KTP W 1-038.8 1138 1145 44.97% 27.41% 27.62%+0.22 +7.7 16
2016-06-05 @ KPV L 0-138.8 1145 1138 27.62% 27.41% 44.97%-0.22 -7.7 9
2016-06-05 TPS Turku L 0-144.7 1127 1113 47.77% 27.07% 25.16%+0.34 -11.7 9
2016-06-05 @ AC Oulu W 1-044.7 1113 1127 25.16% 27.07% 47.77%-0.34 +11.7 7
2016-06-08 Jaro W 1-041.1 1100 1164 37.11% 27.85% 35.03%-0.10 +9.2 13
2016-06-08 @ Ekenas L 0-141.1 1164 1100 35.03% 27.85% 37.11%+0.10 -9.2 9
2016-06-08 JJK W 5-137.3 1124 1152 42.24% 27.65% 30.11%+0.11 +24.6 10
2016-06-08 @ TPS Turku L 1-537.3 1152 1124 30.11% 27.65% 42.24%-0.11 -24.6 12
2016-06-11 KPV L 2-349.6 1022 1146 29.00% 27.56% 43.44%-0.43 -7.2 2
2016-06-11 @ FC Jazz W 3-249.6 1146 1022 43.44% 27.56% 29.00%+0.43 +7.2 19
2016-06-12 AC Oulu L 0-338.3 1127 1116 47.38% 27.13% 25.50%+0.32 -31.8 12
2016-06-12 @ JJK W 3-038.3 1116 1127 25.50% 27.13% 47.38%-0.32 +31.8 12
2016-06-12 Grankulla D 2-257.4 1155 1114 51.02% 26.54% 22.44%+0.48 -1.1 10
2016-06-12 @ Jaro D 2-257.4 1114 1155 22.44% 26.54% 51.02%-0.48 +1.1 12
2016-06-12 Haka D 3-361.8 1137 1107 49.74% 26.77% 23.50%+0.43 -0.9 10
2016-06-12 @ KTP D 3-361.8 1107 1137 23.50% 26.77% 49.74%-0.43 +0.9 13
2016-06-12 TPS Turku L 0-238.9 1109 1149 40.56% 27.75% 31.69%+0.04 -19.4 13
2016-06-12 @ Ekenas W 2-038.9 1149 1109 31.69% 27.75% 40.56%-0.04 +19.4 13
2016-06-18 KTP W 3-033.8 1095 1137 40.30% 27.76% 31.94%+0.03 +23.6 15
2016-06-18 @ JJK L 0-333.8 1137 1095 31.94% 27.76% 40.30%-0.03 -23.6 10
2016-06-19 Ekenas W 3-246.5 1153 1090 53.64% 25.99% 20.37%+0.61 +5.3 22
2016-06-19 @ KPV L 2-346.5 1090 1153 20.37% 25.99% 53.64%-0.61 -5.3 13
2016-06-19 FC Jazz L 3-461.5 1154 1015 61.81% 23.55% 14.64%+1.03 -12.7 10
2016-06-19 @ Jaro W 4-361.5 1015 1154 14.64% 23.55% 61.81%-1.03 +12.7 5
2016-06-19 Grankulla W 3-139.0 1147 1115 49.96% 26.73% 23.31%+0.44 +10.9 15
2016-06-19 @ AC Oulu L 1-339.0 1115 1147 23.31% 26.73% 49.96%-0.44 -10.9 12
2016-06-19 TPS Turku L 1-246.9 1108 1168 37.63% 27.85% 34.52%-0.08 -9.2 13
2016-06-19 @ Haka W 2-146.9 1168 1108 34.52% 27.85% 37.63%+0.08 +9.2 16
2016-06-28 FC Jazz W 2-032.0 1099 1027 54.62% 25.75% 19.63%+0.65 +10.9 16
2016-06-28 @ Haka L 0-232.0 1027 1099 19.63% 25.75% 54.62%-0.65 -10.9 5
2016-06-28 JJK L 1-247.9 1085 1119 41.30% 27.71% 30.99%+0.07 -9.8 13
2016-06-28 @ Ekenas W 2-147.9 1119 1085 30.99% 27.71% 41.30%-0.07 +9.8 18
2016-06-28 KPV W 1-040.7 1104 1158 38.52% 27.83% 33.65%-0.04 +9.0 15
2016-06-28 @ Grankulla L 0-140.7 1158 1104 33.65% 27.83% 38.52%+0.04 -9.0 22
2016-06-28 KTP W 1-036.8 1158 1113 51.57% 26.43% 22.00%+0.51 +6.4 18
2016-06-28 @ AC Oulu L 0-136.8 1113 1158 22.00% 26.43% 51.57%-0.51 -6.4 10
2016-06-30 Jaro L 1-444.5 1177 1141 50.48% 26.64% 22.88%+0.46 -28.3 16
2016-06-30 @ TPS Turku W 4-144.5 1141 1177 22.88% 26.64% 50.48%-0.46 +28.3 13
2016-07-02 Grankulla L 1-249.0 1107 1113 45.01% 27.41% 27.58%+0.22 -10.5 10
2016-07-02 @ KTP W 2-149.0 1113 1107 27.58% 27.41% 45.01%-0.22 +10.5 18
2016-07-02 Haka L 1-444.6 1149 1110 50.88% 26.56% 22.56%+0.48 -28.5 22
2016-07-02 @ KPV W 4-144.6 1110 1149 22.56% 26.56% 50.88%-0.48 +28.5 19
2016-07-03 AC Oulu L 0-338.1 1169 1165 46.50% 27.24% 26.26%+0.28 -31.3 13
2016-07-03 @ Jaro W 3-038.1 1165 1169 26.26% 27.24% 46.50%-0.28 +31.3 21
2016-07-03 Ekenas L 1-343.6 1017 1075 37.91% 27.84% 34.25%-0.06 -16.0 5
2016-07-03 @ FC Jazz W 3-143.6 1075 1017 34.25% 27.84% 37.91%+0.06 +16.0 16
2016-07-03 TPS Turku W 2-035.5 1129 1149 43.16% 27.58% 29.26%+0.14 +15.2 21
2016-07-03 @ JJK L 0-235.5 1149 1129 29.26% 27.58% 43.16%-0.14 -15.2 16
2016-07-06 KPV W 2-143.0 1134 1121 47.58% 27.10% 25.32%+0.33 +6.8 19
2016-07-06 @ TPS Turku L 1-243.0 1121 1134 25.32% 27.10% 47.58%-0.33 -6.8 22
2016-07-09 AC Oulu D 2-257.5 1001 1196 21.27% 26.24% 52.49%-0.82 +1.2 6
2016-07-09 @ FC Jazz D 2-257.5 1196 1001 52.49% 26.24% 21.27%+0.82 -1.2 22
2016-07-10 Jaro D 1-151.6 1138 1138 45.90% 27.31% 26.78%+0.26 -1.0 20
2016-07-10 @ Haka D 1-151.6 1138 1138 26.78% 27.31% 45.90%-0.26 +1.0 14
2016-07-10 JJK L 0-143.5 1124 1144 43.22% 27.58% 29.21%+0.15 -10.8 18
2016-07-10 @ Grankulla W 1-043.5 1144 1124 29.21% 27.58% 43.22%-0.15 +10.8 24
2016-07-10 TPS Turku L 2-353.6 1114 1141 42.33% 27.64% 30.03%+0.11 -9.5 22
2016-07-10 @ KPV W 3-253.6 1141 1114 30.03% 27.64% 42.33%-0.11 +9.5 22
2016-07-11 KTP W 3-249.1 1091 1096 45.20% 27.39% 27.41%+0.23 +6.8 19
2016-07-11 @ Ekenas L 2-349.1 1096 1091 27.41% 27.39% 45.20%-0.23 -6.9 10
2016-07-16 FC Jazz W 1-035.3 1089 1002 56.40% 25.29% 18.31%+0.74 +5.4 13
2016-07-16 @ KTP L 0-135.3 1002 1089 18.31% 25.29% 56.40%-0.74 -5.4 6
2016-07-17 Grankulla W 2-033.2 1150 1113 50.59% 26.62% 22.79%+0.47 +12.4 25
2016-07-17 @ TPS Turku L 0-233.2 1113 1150 22.79% 26.62% 50.59%-0.47 -12.4 18
2016-07-17 Haka W 2-145.1 1098 1137 40.56% 27.75% 31.69%+0.04 +8.1 22
2016-07-17 @ Ekenas L 1-245.1 1137 1098 31.69% 27.75% 40.56%-0.04 -8.1 20
2016-07-17 KPV W 3-029.0 1195 1105 56.71% 25.20% 18.09%+0.76 +14.6 25
2016-07-17 @ AC Oulu L 0-329.0 1105 1195 18.09% 25.20% 56.71%-0.76 -14.6 22
2016-07-19 JJK L 0-239.8 1139 1155 43.82% 27.53% 28.66%+0.17 -20.6 14
2016-07-19 @ Jaro W 2-039.8 1155 1139 28.66% 27.53% 43.82%-0.17 +20.6 27
2016-07-23 KPV D 0-047.9 1118 1090 49.51% 26.80% 23.69%+0.42 -1.5 15
2016-07-23 @ Jaro D 0-047.9 1090 1118 23.69% 26.80% 49.51%-0.42 +1.5 23
2016-07-24 Ekenas W 3-249.1 1101 1106 45.21% 27.39% 27.41%+0.23 +6.8 21
2016-07-24 @ Grankulla L 2-349.1 1106 1101 27.41% 27.39% 45.21%-0.23 -6.8 22
2016-07-24 KTP L 1-348.0 1163 1095 54.22% 25.85% 19.93%+0.64 -21.2 25
2016-07-24 @ TPS Turku W 3-148.0 1095 1163 19.93% 25.85% 54.22%-0.64 +21.2 16
2016-07-25 Haka W 3-137.4 1209 1129 55.62% 25.50% 18.88%+0.70 +9.1 28
2016-07-25 @ AC Oulu L 1-337.4 1129 1209 18.88% 25.50% 55.62%-0.70 -9.1 20
2016-07-29 TPS Turku L 0-431.6 997 1141 26.50% 27.27% 46.22%-0.55 -26.6 6
2016-07-29 @ FC Jazz W 4-031.6 1141 997 46.22% 27.27% 26.50%+0.55 +26.6 28
2016-07-30 Grankulla W 3-031.7 1120 1107 47.52% 27.11% 25.38%+0.33 +19.7 23
2016-07-30 @ Haka L 0-331.7 1107 1120 25.38% 27.11% 47.52%-0.33 -19.7 21
2016-07-31 JJK W 2-147.0 1092 1175 34.30% 27.84% 37.86%-0.21 +9.2 26
2016-07-31 @ KPV L 1-247.0 1175 1092 37.86% 27.84% 34.30%+0.21 -9.2 27
2016-08-03 AC Oulu L 0-235.6 1099 1218 29.55% 27.61% 42.85%-0.40 -15.3 22
2016-08-03 @ Ekenas W 2-035.6 1218 1099 42.85% 27.61% 29.55%+0.40 +15.3 31
2016-08-03 FC Jazz W 2-028.2 1166 970 67.22% 21.32% 11.47%+1.35 +6.3 30
2016-08-03 @ JJK L 0-228.2 970 1166 11.47% 21.32% 67.22%-1.35 -6.3 6
2016-08-03 Jaro D 1-151.6 1116 1117 45.75% 27.33% 26.92%+0.25 -1.0 17
2016-08-03 @ KTP D 1-151.6 1117 1116 26.92% 27.33% 45.75%-0.25 +1.0 16
2016-08-06 AC Oulu W 3-143.1 1168 1234 36.85% 27.86% 35.29%-0.11 +15.1 31
2016-08-06 @ TPS Turku L 1-343.1 1234 1168 35.29% 27.86% 36.85%+0.11 -15.1 31
2016-08-07 Ekenas W 5-031.2 1118 1084 50.23% 26.68% 23.09%+0.45 +29.3 19
2016-08-07 @ Jaro L 0-531.2 1084 1118 23.09% 26.68% 50.23%-0.45 -29.3 22
2016-08-07 Grankulla W 3-253.9 964 1088 28.97% 27.55% 43.48%-0.43 +9.7 9
2016-08-07 @ FC Jazz L 2-353.9 1088 964 43.48% 27.55% 28.97%+0.43 -9.7 21
2016-08-07 KPV W 5-346.3 1115 1101 47.72% 27.08% 25.20%+0.34 +9.9 20
2016-08-07 @ KTP L 3-546.3 1101 1115 25.20% 27.08% 47.72%-0.34 -9.9 26
2016-08-10 Haka W 3-247.7 1172 1140 50.02% 26.72% 23.26%+0.44 +6.0 33
2016-08-10 @ JJK L 2-347.7 1140 1172 23.26% 26.72% 50.02%-0.44 -6.0 23
2016-08-14 FC Jazz D 3-362.5 1091 973 59.64% 24.31% 16.06%+0.91 -1.5 27
2016-08-14 @ KPV D 3-362.5 973 1091 16.06% 24.31% 59.64%-0.91 +1.5 10
2016-08-14 Jaro L 2-351.9 1078 1147 36.36% 27.86% 35.78%-0.13 -8.5 21
2016-08-14 @ Grankulla W 3-251.9 1147 1078 35.78% 27.86% 36.36%+0.13 +8.5 22
2016-08-15 Ekenas W 2-139.0 1183 1054 60.79% 23.91% 15.29%+0.97 +4.3 34
2016-08-15 @ TPS Turku L 1-239.0 1054 1183 15.29% 23.91% 60.79%-0.97 -4.3 22
2016-08-15 JJK L 0-145.7 1219 1178 50.97% 26.55% 22.49%+0.48 -12.3 31
2016-08-15 @ AC Oulu W 1-045.7 1178 1219 22.49% 26.55% 50.97%-0.48 +12.3 36
2016-08-18 KTP D 2-257.2 1134 1125 47.05% 27.17% 25.78%+0.31 -0.8 24
2016-08-18 @ Haka D 2-257.2 1125 1134 25.78% 27.17% 47.05%-0.31 +0.8 21
2016-08-20 Grankulla W 3-027.5 1206 1070 61.59% 23.63% 14.78%+1.02 +12.0 34
2016-08-20 @ AC Oulu L 0-327.5 1070 1206 14.78% 23.63% 61.59%-1.02 -12.0 21
2016-08-21 FC Jazz W 2-028.6 1156 975 65.83% 21.93% 12.24%+1.26 +6.7 25
2016-08-21 @ Jaro L 0-228.6 975 1156 12.24% 21.93% 65.83%-1.26 -6.7 10
2016-08-21 Haka W 2-032.6 1187 1133 52.66% 26.20% 21.13%+0.56 +11.6 37
2016-08-21 @ TPS Turku L 0-232.6 1133 1187 21.13% 26.20% 52.66%-0.56 -11.6 24
2016-08-21 KPV L 0-238.8 1050 1089 40.58% 27.75% 31.67%+0.04 -19.4 22
2016-08-21 @ Ekenas W 2-038.8 1089 1050 31.67% 27.75% 40.58%-0.04 +19.4 30
2016-08-22 JJK W 5-035.2 1126 1191 36.96% 27.85% 35.19%-0.10 +40.8 24
2016-08-22 @ KTP L 0-535.2 1191 1126 35.19% 27.85% 36.96%+0.10 -40.8 36
2016-08-27 Ekenas L 1-349.2 1150 1031 59.80% 24.25% 15.95%+0.92 -23.0 36
2016-08-27 @ JJK W 3-149.2 1031 1150 15.95% 24.25% 59.80%-0.92 +23.0 25
2016-08-28 AC Oulu L 1-441.4 1166 1218 38.83% 27.82% 33.36%-0.03 -23.0 24
2016-08-28 @ KTP W 4-141.4 1218 1166 33.36% 27.82% 38.83%+0.03 +23.0 37
2016-08-28 Grankulla L 0-241.9 1109 1058 52.26% 26.29% 21.45%+0.54 -23.8 30
2016-08-28 @ KPV W 2-041.9 1058 1109 21.45% 26.29% 52.26%-0.54 +23.8 24
2016-08-28 Haka W 1-044.6 968 1121 25.56% 27.14% 47.31%-0.59 +11.6 13
2016-08-28 @ FC Jazz L 0-144.6 1121 968 47.31% 27.14% 25.56%+0.59 -11.6 24
2016-08-28 TPS Turku W 3-250.5 1162 1199 40.95% 27.73% 31.32%+0.06 +7.6 28
2016-08-28 @ Jaro L 2-350.5 1199 1162 31.32% 27.73% 40.95%-0.06 -7.6 37
2016-09-01 Jaro L 0-340.2 1241 1170 54.59% 25.76% 19.65%+0.65 -35.8 37
2016-09-01 @ AC Oulu W 3-040.2 1170 1241 19.65% 25.76% 54.59%-0.65 +35.8 31
2016-09-02 JJK D 2-257.6 1191 1127 53.85% 25.94% 20.21%+0.62 -1.3 38
2016-09-02 @ TPS Turku D 2-257.6 1127 1191 20.21% 25.94% 53.85%-0.62 +1.4 37
2016-09-03 KPV W 3-247.9 1110 1085 49.05% 26.88% 24.07%+0.40 +6.2 27
2016-09-03 @ Haka L 2-347.9 1085 1110 24.07% 26.88% 49.05%-0.40 -6.2 30
2016-09-04 FC Jazz L 1-251.4 1054 980 54.92% 25.68% 19.40%+0.67 -12.4 25
2016-09-04 @ Ekenas W 2-151.4 980 1054 19.40% 25.68% 54.92%-0.67 +12.4 16
2016-09-04 KTP W 2-037.2 1081 1143 37.37% 27.85% 34.78%-0.09 +17.3 27
2016-09-04 @ Grankulla L 0-237.2 1143 1081 34.78% 27.85% 37.37%+0.09 -17.3 24
2016-09-10 FC Jazz D 2-259.2 1205 992 68.74% 20.61% 10.66%+1.44 -2.5 38
2016-09-10 @ AC Oulu D 2-259.2 992 1205 10.66% 20.61% 68.74%-1.44 +2.4 17
2016-09-10 Grankulla W 4-243.5 1128 1099 49.64% 26.78% 23.58%+0.42 +9.9 40
2016-09-10 @ JJK L 2-443.5 1099 1128 23.58% 26.78% 49.64%-0.42 -9.9 27
2016-09-10 KPV L 2-357.7 1190 1079 58.98% 24.52% 16.50%+0.88 -12.5 38
2016-09-10 @ TPS Turku W 3-257.7 1079 1190 16.50% 24.52% 58.98%-0.88 +12.5 33
2016-09-11 Ekenas L 0-146.7 1126 1041 56.12% 25.37% 18.51%+0.73 -13.4 24
2016-09-11 @ KTP W 1-046.7 1041 1126 18.51% 25.37% 56.12%-0.73 +13.4 28
2016-09-11 Haka W 3-029.0 1206 1116 56.69% 25.21% 18.11%+0.76 +14.6 34
2016-09-11 @ Jaro L 0-329.0 1116 1206 18.11% 25.21% 56.69%-0.76 -14.6 27
2016-09-15 Ekenas W 2-032.8 1101 1055 51.71% 26.40% 21.89%+0.52 +12.0 30
2016-09-15 @ Haka L 0-232.8 1055 1101 21.89% 26.40% 51.71%-0.52 -12.0 28
2016-09-15 Jaro D 1-152.2 994 1220 18.61% 25.40% 55.99%-0.99 +2.0 18
2016-09-15 @ FC Jazz D 1-152.2 1220 994 55.99% 25.40% 18.61%+0.99 -2.0 35
2016-09-18 AC Oulu D 0-047.6 1091 1203 30.55% 27.68% 41.77%-0.36 +0.6 34
2016-09-18 @ KPV D 0-047.6 1203 1091 41.77% 27.68% 30.55%+0.36 -0.6 39
2016-09-18 KTP D 1-151.5 997 1113 29.96% 27.64% 42.41%-0.39 +0.6 19
2016-09-18 @ FC Jazz D 1-151.5 1113 997 42.41% 27.64% 29.96%+0.39 -0.6 25
2016-09-18 TPS Turku L 1-245.7 1089 1178 33.58% 27.82% 38.60%-0.23 -8.4 27
2016-09-18 @ Grankulla W 2-145.7 1178 1089 38.60% 27.82% 33.58%+0.23 +8.4 41
2016-09-19 Jaro W 3-143.6 1138 1218 34.76% 27.85% 37.39%-0.19 +15.8 43
2016-09-19 @ JJK L 1-343.6 1218 1138 37.39% 27.85% 34.76%+0.19 -15.8 35
2016-09-25 AC Oulu D 1-151.5 1113 1202 33.55% 27.82% 38.63%-0.24 +0.2 31
2016-09-25 @ Haka D 1-151.5 1202 1113 38.63% 27.82% 33.55%+0.24 -0.2 40
2016-09-25 Grankulla W 2-036.1 1043 1080 40.82% 27.74% 31.44%+0.05 +16.0 31
2016-09-25 @ Ekenas L 0-236.1 1080 1043 31.44% 27.74% 40.82%-0.05 -16.0 27
2016-09-25 Jaro L 0-333.5 1092 1203 30.67% 27.69% 41.64%-0.36 -22.9 34
2016-09-25 @ KPV W 3-033.5 1203 1092 41.64% 27.69% 30.67%+0.36 +22.9 38
2016-09-25 JJK L 1-242.9 997 1154 25.19% 27.08% 47.74%-0.61 -6.7 19
2016-09-25 @ FC Jazz W 2-142.9 1154 997 47.74% 27.08% 25.19%+0.61 +6.7 46
2016-09-25 TPS Turku D 3-361.5 1112 1186 35.68% 27.86% 36.47%-0.15 +0.0 26
2016-09-25 @ KTP D 3-361.5 1186 1112 36.47% 27.86% 35.68%+0.15 -0.0 42
2016-10-01 Ekenas W 4-132.7 1202 1059 62.24% 23.39% 14.37%+1.05 +9.8 43
2016-10-01 @ AC Oulu L 1-432.7 1059 1202 14.37% 23.39% 62.24%-1.05 -9.8 31
2016-10-01 FC Jazz W 6-027.2 1186 990 67.17% 21.34% 11.49%+1.34 +17.5 45
2016-10-01 @ TPS Turku L 0-627.2 990 1186 11.49% 21.34% 67.17%-1.34 -17.5 19
2016-10-02 Haka W 1-040.5 1064 1113 39.20% 27.81% 32.99%-0.01 +8.8 30
2016-10-02 @ Grankulla L 0-140.5 1113 1064 32.99% 27.81% 39.20%+0.01 -8.8 31
2016-10-02 KPV L 0-146.9 1161 1069 56.85% 25.16% 17.99%+0.77 -13.5 46
2016-10-02 @ JJK W 1-046.9 1069 1161 17.99% 25.16% 56.85%-0.77 +13.5 37
2016-10-02 KTP W 3-136.3 1226 1112 59.19% 24.45% 16.36%+0.89 +7.9 41
2016-10-02 @ Jaro L 1-336.3 1112 1226 16.36% 24.45% 59.19%-0.89 -7.9 26
2016-10-15 FC Jazz W 2-031.0 1073 973 57.80% 24.89% 17.31%+0.81 +9.6 33
2016-10-15 @ Grankulla L 0-231.0 973 1073 17.31% 24.89% 57.80%-0.81 -9.6 19
2016-10-15 Jaro L 1-241.9 1049 1233 22.32% 26.51% 51.17%-0.76 -6.1 31
2016-10-15 @ Ekenas W 2-141.9 1233 1049 51.17% 26.51% 22.32%+0.76 +6.1 44
2016-10-15 JJK L 2-448.8 1105 1147 40.16% 27.77% 32.07%+0.02 -14.9 31
2016-10-15 @ Haka W 4-248.8 1147 1105 32.07% 27.77% 40.16%-0.02 +14.9 49
2016-10-15 KTP D 1-151.5 1083 1104 43.00% 27.59% 29.40%+0.14 -0.7 38
2016-10-15 @ KPV D 1-151.5 1104 1083 29.40% 27.59% 43.00%-0.14 +0.7 27
2016-10-15 TPS Turku L 0-144.7 1212 1204 46.97% 27.18% 25.85%+0.30 -11.5 43
2016-10-15 @ AC Oulu W 1-044.7 1204 1212 25.85% 27.18% 46.97%-0.30 +11.5 48
2016-10-22 AC Oulu W 2-145.1 1162 1200 40.70% 27.74% 31.56%+0.05 +8.0 52
2016-10-22 @ JJK L 1-245.1 1200 1162 31.56% 27.74% 40.70%-0.05 -8.0 43
2016-10-22 Ekenas W 3-026.4 1215 1043 65.01% 22.28% 12.70%+1.21 +10.2 51
2016-10-22 @ TPS Turku L 0-326.4 1043 1215 12.70% 22.28% 65.01%-1.21 -10.2 31
2016-10-22 Grankulla L 2-454.4 1239 1083 63.55% 22.88% 13.57%+1.13 -21.7 44
2016-10-22 @ Jaro W 4-254.4 1083 1239 13.57% 22.88% 63.55%-1.13 +21.7 36
2016-10-22 Haka D 3-361.7 1105 1090 47.85% 27.06% 25.09%+0.34 -0.7 28
2016-10-22 @ KTP D 3-361.7 1090 1105 25.09% 27.06% 47.85%-0.34 +0.7 32
2016-10-22 KPV D 1-151.5 963 1082 29.66% 27.61% 42.73%-0.40 +0.7 20
2016-10-22 @ FC Jazz D 1-151.5 1082 963 42.73% 27.61% 29.66%+0.40 -0.7 39

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Record
2016-10-26 Inter Turku D 0-0 1225 1250 42.63% 27.62% 29.75%+0.12 -0.7 0-0-1
2016-10-26 @ TPS Turku D 0-0 1250 1225 29.75% 27.62% 42.63%-0.12 +0.7 0-0-1
2016-10-29 TPS Turku W 2-0 1250 1225 49.19% 26.86% 23.95%+0.40 +12.9 1-0-1
2016-10-29 @ Inter Turku L 0-2 1225 1250 23.95% 26.86% 49.19%-0.40 -12.9 0-1-1

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2016-10-22 13.57% Grankulla 1083 4 @ Jaro 1239 2
2 2016-06-19 14.64% FC Jazz 1015 4 @ Jaro 1154 3
3 2016-08-27 15.95% Ekenas 1031 3 @ JJK 1150 1
4 2016-09-10 16.50% KPV 1079 3 @ TPS Turku 1190 2
5 2016-10-02 17.99% KPV 1069 1 @ JJK 1161 0
6 2016-09-11 18.51% Ekenas 1041 1 @ KTP 1126 0
7 2016-09-04 19.40% FC Jazz 980 2 @ Ekenas 1054 1
8 2016-09-01 19.65% Jaro 1170 3 @ AC Oulu 1241 0
9 2016-07-24 19.93% KTP 1095 3 @ TPS Turku 1163 1
10 2016-05-08 20.33% Ekenas 1075 2 @ KTP 1138 1
11 2016-08-28 21.45% Grankulla 1058 2 @ KPV 1109 0
12 2016-08-15 22.49% JJK 1178 1 @ AC Oulu 1219 0
13 2016-07-02 22.56% Haka 1110 4 @ KPV 1149 1
14 2016-06-30 22.88% Jaro 1141 4 @ TPS Turku 1177 1
15 2016-05-04 24.69% KPV 1117 3 @ Haka 1136 0
16 2016-05-21 24.95% KPV 1149 1 @ Jaro 1165 0
17 2016-06-05 25.16% TPS Turku 1113 1 @ AC Oulu 1127 0
18 2016-06-12 25.50% AC Oulu 1116 3 @ JJK 1127 0
19 2016-08-28 25.56% @ FC Jazz 968 1 Haka 1121 0
20 2016-10-15 25.85% TPS Turku 1204 1 @ AC Oulu 1212 0
21 2016-07-03 26.26% AC Oulu 1165 3 @ Jaro 1169 0
22 2016-05-28 26.51% Jaro 1153 2 @ KTP 1156 1
23 2016-07-02 27.58% Grankulla 1113 2 @ KTP 1107 1
24 2016-07-19 28.66% JJK 1155 2 @ Jaro 1139 0
25 2016-05-20 28.95% KTP 1134 5 @ TPS Turku 1116 2

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-08-22 40.79 @ KTP 5 1126 36.96% JJK 0 1191 35.19% 27.85%
2 2016-09-01 35.81 Jaro 3 1170 19.65% @ AC Oulu 0 1241 54.59% 25.76%
3 2016-05-04 32.33 KPV 3 1117 24.69% @ Haka 0 1136 48.32% 26.99%
4 2016-06-12 31.82 AC Oulu 3 1116 25.50% @ JJK 0 1127 47.38% 27.13%
5 2016-07-03 31.34 AC Oulu 3 1165 26.26% @ Jaro 0 1169 46.50% 27.24%
6 2016-08-07 29.30 @ Jaro 5 1118 50.23% Ekenas 0 1084 23.09% 26.68%
7 2016-07-02 28.47 Haka 4 1110 22.56% @ KPV 1 1149 50.88% 26.56%
8 2016-06-30 28.28 Jaro 4 1141 22.88% @ TPS Turku 1 1177 50.48% 26.64%
9 2016-07-29 26.65 TPS Turku 4 1141 46.22% @ FC Jazz 0 997 26.50% 27.27%
10 2016-04-29 25.57 @ KPV 3 1092 36.50% Grankulla 0 1160 35.64% 27.86%
11 2016-06-08 24.55 @ TPS Turku 5 1124 42.24% JJK 1 1152 30.11% 27.65%
12 2016-05-23 24.00 @ Ekenas 3 1086 39.52% Grankulla 0 1133 32.69% 27.80%
13 2016-08-28 23.77 Grankulla 2 1058 21.45% @ KPV 0 1109 52.26% 26.29%
14 2016-06-18 23.59 @ JJK 3 1095 40.30% KTP 0 1137 31.94% 27.76%
15 2016-08-27 23.05 Ekenas 3 1031 15.95% @ JJK 1 1150 59.80% 24.25%
16 2016-08-28 22.96 AC Oulu 4 1218 33.36% @ KTP 1 1166 38.83% 27.82%
17 2016-09-25 22.87 Jaro 3 1203 41.64% @ KPV 0 1092 30.67% 27.69%
18 2016-05-27 22.23 @ JJK 3 1138 42.85% KPV 0 1160 29.54% 27.61%
19 2016-05-20 21.70 KTP 5 1134 28.95% @ TPS Turku 2 1116 43.50% 27.55%
20 2016-10-22 21.67 Grankulla 4 1083 13.57% @ Jaro 2 1239 63.55% 22.88%
21 2016-07-24 21.23 KTP 3 1095 19.93% @ TPS Turku 1 1163 54.22% 25.85%
22 2016-07-19 20.58 JJK 2 1155 28.66% @ Jaro 0 1139 43.82% 27.53%
23 2016-07-30 19.69 @ Haka 3 1120 47.52% Grankulla 0 1107 25.38% 27.11%
24 2016-08-21 19.39 KPV 2 1089 31.67% @ Ekenas 0 1050 40.58% 27.75%
25 2016-06-12 19.38 TPS Turku 2 1149 31.69% @ Ekenas 0 1109 40.56% 27.75%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-08-14 62.5 @ KPV 3 1091 59.64% FC Jazz 3 973 16.06% 24.31%
2 2016-06-12 61.8 @ KTP 3 1137 49.74% Haka 3 1107 23.50% 26.77%
3 2016-10-22 61.7 @ KTP 3 1105 47.85% Haka 3 1090 25.09% 27.06%
4 2016-06-19 61.5 FC Jazz 4 1015 14.64% @ Jaro 3 1154 61.81% 23.55%
5 2016-09-25 61.5 @ KTP 3 1112 35.68% TPS Turku 3 1186 36.47% 27.86%
6 2016-09-10 59.2 @ AC Oulu 2 1205 68.74% FC Jazz 2 992 10.66% 20.61%
7 2016-09-10 57.7 KPV 3 1079 16.50% @ TPS Turku 2 1190 58.98% 24.52%
8 2016-09-02 57.6 @ TPS Turku 2 1191 53.85% JJK 2 1127 20.21% 25.94%
9 2016-07-09 57.5 @ FC Jazz 2 1001 21.27% AC Oulu 2 1196 52.49% 26.24%
10 2016-05-14 57.4 @ KPV 2 1150 50.22% AC Oulu 2 1115 23.09% 26.68%
11 2016-06-12 57.4 @ Jaro 2 1155 51.02% Grankulla 2 1114 22.44% 26.54%
12 2016-08-18 57.2 @ Haka 2 1134 47.05% KTP 2 1125 25.78% 27.17%
13 2016-05-21 57.1 @ Haka 2 1107 44.59% AC Oulu 2 1116 27.96% 27.45%
14 2016-05-21 57.0 @ FC Jazz 2 1038 32.04% JJK 2 1138 40.19% 27.77%
15 2016-05-14 54.7 KTP 4 1126 37.41% @ FC Jazz 3 1046 34.74% 27.85%
16 2016-10-22 54.4 Grankulla 4 1083 13.57% @ Jaro 2 1239 63.55% 22.88%
17 2016-08-07 53.9 @ FC Jazz 3 964 28.97% Grankulla 2 1088 43.48% 27.55%
18 2016-07-10 53.6 TPS Turku 3 1141 30.03% @ KPV 2 1114 42.33% 27.64%
19 2016-06-05 52.3 @ Grankulla 1 1116 57.40% FC Jazz 1 1020 17.59% 25.00%
20 2016-09-15 52.2 @ FC Jazz 1 994 18.61% Jaro 1 1220 55.99% 25.40%
21 2016-08-14 51.9 Jaro 3 1147 35.78% @ Grankulla 2 1078 36.36% 27.86%
22 2016-04-24 51.8 @ KTP 1 1140 49.63% JJK 1 1111 23.59% 26.78%
23 2016-04-29 51.8 @ KTP 1 1139 49.66% AC Oulu 1 1109 23.56% 26.78%
24 2016-04-29 51.8 @ Jaro 1 1158 50.40% TPS Turku 1 1122 22.95% 26.65%
25 2016-05-04 51.6 @ Grankulla 1 1134 45.49% KTP 1 1137 27.15% 27.36%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-10-22 26.4 @ TPS Turku 3 1215 65.01% Ekenas 0 1043 12.70% 22.28%
2 2016-10-01 27.2 @ TPS Turku 6 1186 67.17% FC Jazz 0 990 11.49% 21.34%
3 2016-08-20 27.5 @ AC Oulu 3 1206 61.59% Grankulla 0 1070 14.78% 23.63%
4 2016-08-03 28.2 @ JJK 2 1166 67.22% FC Jazz 0 970 11.47% 21.32%
5 2016-08-21 28.6 @ Jaro 2 1156 65.83% FC Jazz 0 975 12.24% 21.93%
6 2016-07-17 29.0 @ AC Oulu 3 1195 56.71% KPV 0 1105 18.09% 25.20%
7 2016-09-11 29.0 @ Jaro 3 1206 56.69% Haka 0 1116 18.11% 25.21%
8 2016-10-15 31.0 @ Grankulla 2 1073 57.80% FC Jazz 0 973 17.31% 24.89%
9 2016-04-29 31.2 @ JJK 3 1112 49.09% Ekenas 0 1087 24.04% 26.87%
10 2016-08-07 31.2 @ Jaro 5 1118 50.23% Ekenas 0 1084 23.09% 26.68%
11 2016-07-29 31.6 TPS Turku 4 1141 46.22% @ FC Jazz 0 997 26.50% 27.27%
12 2016-07-30 31.7 @ Haka 3 1120 47.52% Grankulla 0 1107 25.38% 27.11%
13 2016-06-28 32.0 @ Haka 2 1099 54.62% FC Jazz 0 1027 19.63% 25.75%
14 2016-08-21 32.6 @ TPS Turku 2 1187 52.66% Haka 0 1133 21.13% 26.20%
15 2016-10-01 32.7 @ AC Oulu 4 1202 62.24% Ekenas 1 1059 14.37% 23.39%
16 2016-09-15 32.8 @ Haka 2 1101 51.71% Ekenas 0 1055 21.89% 26.40%
17 2016-05-27 33.1 @ JJK 3 1138 42.85% KPV 0 1160 29.54% 27.61%
18 2016-07-17 33.2 @ TPS Turku 2 1150 50.59% Grankulla 0 1113 22.79% 26.62%
19 2016-09-25 33.5 Jaro 3 1203 41.64% @ KPV 0 1092 30.67% 27.69%
20 2016-06-18 33.8 @ JJK 3 1095 40.30% KTP 0 1137 31.94% 27.76%
21 2016-05-29 34.0 @ TPS Turku 5 1094 52.89% FC Jazz 1 1038 20.95% 26.15%
22 2016-05-23 34.1 @ Ekenas 3 1086 39.52% Grankulla 0 1133 32.69% 27.80%
23 2016-04-29 35.0 @ KPV 3 1092 36.50% Grankulla 0 1160 35.64% 27.86%
24 2016-08-22 35.2 @ KTP 5 1126 36.96% JJK 0 1191 35.19% 27.85%
25 2016-07-16 35.3 @ KTP 1 1089 56.40% FC Jazz 0 1002 18.31% 25.29%