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2014 Ykkönen Season

135 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

AC Oulu

10.81 points above expected

47 points · 36.19 expected points

Biggest Disappointment

Viikingit

17.07 points below expected

6 points · 23.07 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 Helsingfors 27 15 5 7 50 63 30 +33 42.33 +7.67
2 KTP 27 15 5 7 50 57 33 +24 48.67 +1.33
3 Ilves 27 14 5 8 47 45 29 +16 41.02 +5.98
4 AC Oulu 27 13 8 6 47 46 32 +14 36.19 +10.81
5 Haka 27 13 7 7 46 55 32 +23 45.16 +0.84
6 PK-35 Vantaa 27 12 10 5 46 40 28 +12 42.41 +3.59
7 JJK 27 11 5 11 38 40 46 -6 32.74 +5.26
8 FC Jazz 27 6 7 14 25 31 48 -17 31.09 -6.09
9 JIPPO 27 5 5 17 20 19 56 -37 25.02 -5.02
10 Viikingit 27 1 3 23 6 19 81 -62 23.07 -17.07

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 AC Oulu 47 36.19 +10.81
2 Helsingfors 50 42.33 +7.67
3 Ilves 47 41.02 +5.98
4 JJK 38 32.74 +5.26
5 PK-35 Vantaa 46 42.41 +3.59

Biggest Disappointments

# Team Actual Sim vsSim
1 Viikingit 6 23.07 -17.07
2 FC Jazz 25 31.09 -6.09
3 JIPPO 20 25.02 -5.02
4 Haka 46 45.16 +0.84
5 KTP 50 48.67 +1.33

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 PK-35 Vantaa 6 May 23 – Jun 13 1 in 298
2 JJK 3 Jul 13 – Jul 20 1 in 81
3 AC Oulu 5 Sep 5 – Oct 4 1 in 72
4 Ilves 3 Jun 7 – Jun 18 1 in 23
5 JIPPO 2 Jun 18 – Jun 26 1 in 13

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Viikingit 13 Jul 22 – Oct 4 1 in 1,075
2 FC Jazz 5 Jun 1 – Jun 26 1 in 232
3 KTP 3 Sep 11 – Sep 28 1 in 160
4 JIPPO 6 Jul 6 – Aug 3 1 in 36
5 JJK 3 Aug 25 – Sep 5 1 in 30

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 AC Oulu 14 Jul 11 – Oct 4 1 in 427
2 JJK 9 Jun 26 – Aug 16 1 in 195
3 Ilves 12 May 11 – Jul 16 1 in 82
4 KTP 13 Apr 28 – Jul 6 1 in 31
5 PK-35 Vantaa 8 May 11 – Jun 13 1 in 22

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 PK-35 Vantaa 7 Jun 18 – Aug 3 1 in 99
2 FC Jazz 12 Jun 1 – Aug 7 1 in 86
3 Viikingit 19 Jun 14 – Oct 4 1 in 43
4 KTP 4 Sep 11 – Oct 4 1 in 37
5 AC Oulu 5 May 6 – May 28 1 in 8

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
Helsingfors 1282 50 +35 13 9.7 +3.3
KTP 1176 50 -55 4 9.5 -5.5
AC Oulu 1225 47 +93 15 8.4 +6.6
Ilves 1179 47 +18 9 7.8 +1.2
Haka 1269 46 +68 10 8.7 +1.3
PK-35 Vantaa 1161 46 -76 5 8.4 -3.4
JJK 1071 38 +13 7 5.3 +1.7
FC Jazz 1031 25 +7 6 4.5 +1.5
JIPPO 903 20 -12 3 3.0 -0.0
Viikingit 820 6 -61 0 2.9 -2.9

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 FJ HAK HEL ILV JIP JJK KTP PV VII
AC Oulu —
2-1-0
4.47
1-2-0
2.64
1-1-1
3.82
2-0-1
3.83
1-1-1
4.99
2-0-1
4.74
0-2-1
3.06
1-1-1
2.94
3-0-0
5.85
FC Jazz
0-1-2
3.67
 —
0-2-1
2.96
0-0-3
2.56
0-1-2
3.39
2-0-1
4.33
1-1-1
3.43
1-0-2
2.54
0-1-2
3.20
2-1-0
5.09
Haka
0-2-1
5.52
1-2-0
5.19
 —
1-0-2
4.42
1-1-1
4.12
2-1-0
6.09
2-1-0
5.29
1-0-2
3.45
2-0-1
4.37
3-0-0
6.72
Helsingfors
1-1-1
4.32
3-0-0
5.64
2-0-1
3.71
 —
1-1-1
4.24
3-0-0
6.19
2-0-1
4.55
1-0-2
3.08
0-3-0
4.20
2-0-1
6.53
Ilves
1-0-2
4.31
2-1-0
4.76
1-1-1
3.99
1-1-1
3.90
 —
3-0-0
5.77
1-1-1
4.97
1-1-1
3.49
1-0-2
3.77
3-0-0
6.44
JIPPO
1-1-1
3.14
1-0-2
3.79
0-1-2
2.16
0-0-3
2.05
0-0-3
2.43
 —
0-0-3
2.90
0-1-2
1.49
0-2-1
2.33
3-0-0
4.15
JJK
1-0-2
3.38
1-1-1
4.71
0-1-2
2.86
1-0-2
3.59
1-1-1
3.15
3-0-0
5.25
 —
2-0-1
2.02
0-1-2
2.51
2-1-0
5.14
KTP
1-2-0
5.12
2-0-1
5.64
2-0-1
4.66
2-0-1
5.06
1-1-1
4.62
2-1-0
6.85
1-0-2
6.22
 —
1-1-1
4.90
3-0-0
5.87
PK-35 Vantaa
1-1-1
5.20
2-1-0
4.96
1-0-2
3.74
0-3-0
3.91
2-0-1
4.35
1-2-0
5.90
2-1-0
5.67
1-1-1
3.22
 —
2-1-0
5.81
Viikingit
0-0-3
2.40
0-1-2
3.03
0-0-3
1.60
1-0-2
1.76
0-0-3
1.84
0-0-3
3.96
0-1-2
3.02
0-0-3
2.39
0-1-2
2.44
 —

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 0.82 +9.2
Allowed 0.93 -8.7
Differential 0.97 +4.9

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
07.41%5.93%5.93%5.56%2.59%2.22%29.63%
15.93%7.41%6.67%3.33%3.70%—27.04%
25.93%6.67%4.44%1.11%1.48%0.37%20.00%
35.56%3.33%1.11%2.22%——12.22%
42.59%3.70%1.48%—0.74%—8.52%
5+2.22%—0.37%———2.59%
Total29.63%27.04%20.00%12.22%8.52%2.59%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.54 +0.00
SD 1.49 1.49 2.38
CV 0.97 0.97 —
Max 10 10 +10
Min 0 0 -10

Games Played: 135

↓ Scored | Allowed →012345+Total
011.11%3.70%—7.41%3.70%—25.93%
17.41%11.11%7.41%———25.93%
27.41%14.81%3.70%———25.93%
33.70%3.70%————7.41%
4—3.70%3.70%—3.70%—11.11%
5+3.70%—————3.70%
Total33.33%37.04%14.81%7.41%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 1.19 +0.52
SD 1.66 1.21 2.14
CV 0.97 1.02 —
Max 7 4 +7
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%18.52%7.41%7.41%—3.70%40.74%
13.70%11.11%3.70%3.70%3.70%—25.93%
23.70%3.70%3.70%—3.70%—14.81%
3—7.41%—7.41%——14.81%
4—3.70%————3.70%
5+———————
Total11.11%44.44%14.81%18.52%7.41%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.78 -0.63
SD 1.23 1.31 1.82
CV 1.07 0.74 —
Max 4 5 +3
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
011.11%3.70%—7.41%——22.22%
13.70%3.70%7.41%—3.70%—18.52%
211.11%3.70%7.41%—3.70%—25.93%
33.70%7.41%—3.70%——14.81%
4—7.41%————7.41%
5+11.11%—————11.11%
Total40.74%25.93%14.81%11.11%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.04 1.19 +0.85
SD 1.70 1.30 2.40
CV 0.83 1.10 —
Max 6 4 +6
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%3.70%3.70%7.41%——18.52%
1—7.41%7.41%———14.81%
23.70%3.70%7.41%3.70%——18.52%
311.11%3.70%————14.81%
414.81%7.41%7.41%———29.63%
5+3.70%—————3.70%
Total37.04%25.93%25.93%11.11%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.33 1.11 +1.22
SD 1.59 1.05 2.29
CV 0.68 0.95 —
Max 5 3 +5
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
011.11%7.41%7.41%———25.93%
114.81%—7.41%—7.41%—29.63%
211.11%11.11%3.70%———25.93%
33.70%—3.70%3.70%——11.11%
4—3.70%————3.70%
5+3.70%—————3.70%
Total44.44%22.22%22.22%3.70%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.07 +0.59
SD 2.00 1.24 2.47
CV 1.20 1.15 —
Max 10 4 +10
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
011.11%7.41%11.11%14.81%3.70%3.70%51.85%
111.11%7.41%—3.70%11.11%—33.33%
2—3.70%—3.70%3.70%—11.11%
3———————
4——3.70%———3.70%
5+———————
Total22.22%18.52%14.81%22.22%18.52%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 0.70 2.07 -1.37
SD 0.95 1.57 1.80
CV 1.35 0.76 —
Max 4 5 +2
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%3.70%7.41%3.70%7.41%—25.93%
13.70%7.41%3.70%11.11%3.70%—29.63%
2—14.81%7.41%———22.22%
37.41%—7.41%———14.81%
43.70%3.70%————7.41%
5+———————
Total18.52%29.63%25.93%14.81%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.70 -0.22
SD 1.25 1.27 2.15
CV 0.84 0.74 —
Max 4 4 +4
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%—7.41%———11.11%
17.41%3.70%7.41%7.41%3.70%—29.63%
23.70%7.41%3.70%———14.81%
318.52%3.70%—3.70%——25.93%
47.41%7.41%——3.70%—18.52%
5+———————
Total40.74%22.22%18.52%11.11%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.11 1.22 +0.89
SD 1.34 1.31 2.08
CV 0.63 1.07 —
Max 4 4 +4
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%3.70%3.70%——3.70%18.52%
17.41%22.22%7.41%———37.04%
218.52%3.70%7.41%———29.63%
33.70%7.41%————11.11%
4———————
5+——3.70%———3.70%
Total37.04%37.04%22.22%——3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.04 +0.44
SD 1.16 1.26 1.83
CV 0.78 1.21 —
Max 5 6 +3
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%7.41%11.11%7.41%11.11%11.11%55.56%
1——14.81%7.41%3.70%—25.93%
2———3.70%3.70%3.70%11.11%
33.70%——3.70%——7.41%
4———————
5+———————
Total11.11%7.41%25.93%22.22%18.52%14.81%100%

Summary Statistics

Scored Allowed Difference
Mean 0.70 3.00 -2.30
SD 0.95 2.15 2.45
CV 1.35 0.72 —
Max 3 10 +3
Min 0 0 -10

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
Helsingfors 1282 50 42.33 +7.67 89.0% 27 33 38 42 46 54 56
Haka 1269 46 45.16 +0.84 59.0% 30 36 42 46 49 56 59
AC Oulu 1225 47 36.19 +10.81 97.0% 19 26 31 36 41 45 56
Ilves 1179 47 41.02 +5.98 87.0% 27 31 37 41 44 51 61
KTP 1176 50 48.67 +1.33 63.0% 35 38 44 48 53 60 64
PK-35 Vantaa 1161 46 42.41 +3.59 75.0% 23 33 37 42 46 54 62
JJK 1071 38 32.74 +5.26 86.0% 19 23 29 33 36 43 49
FC Jazz 1031 25 31.09 -6.09 20.0% 15 22 27 30 34 44 46
JIPPO 903 20 25.02 -5.02 23.0% 9 16 21 25 28 34 52
Viikingit 820 6 23.07 -17.07 0.0% 11 14 19 23 26 33 38

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
+9.63%
No Edge
43.70%22.22%34.07%
Elo Value
Home Edge: 33.56 Elo pts.
124 Elo
0.008 goals per Elo point
0400
Scoring Tilt
Expected
+0.45 goals
Neutral
-2+0.27+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
3.6
Open
123410
Champion Preseason Odds
11%
Helsingfors, 4th of 10
LongshotFavorite
Title Margin
Expected
0.00/gm
Photo Finish
00.180.5/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 4.99 * Some Luck: 4.99 to 7.48 * Lucky: 7.48 to 9.97 * Wild Swing: 9.97 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 1.08 * Close: 1.08 to 1.62 * Off: 1.62 to 2.16 * Way Off: 2.16 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
7.76 points
Lucky
06.2316
Average Finish Error
Expected
1.40
Close
01.353
Biggest Overachiever
Expected 95.00%
97.00%
AC Oulu
50100
Biggest Underachiever
Expected 5.00%
0.00%
Viikingit
050
Season Outliers
Expected
2 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
0.20
Top-Heavy
00.130.20.5
Noll-Scully
Elo SD: 154.30
2.19
Wide Separation
0.751.51.82.153
Interquartile Edge
73%
Clear Edge
50%63.5%74.5%100%
Best vs. Worst
Baseline 95%
93%
Strong Edge
50%100%
Close Games
Expected
50%
Few
0%47%100%
Blowouts
Expected
29%
Very Frequent
0%29%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
0.58
Predictable
00.602
Matchup Imbalance
0.39
Slight Separation
00.340.420.5
Strangeness
Expected
1.71
Chaotic
01.002
Repeatability
-0.02
Weak Carryover
00.380.570.71
Upset Rate
Expected
23%
Upset-Prone
0%22%50%
Clear Favorite Upset Rate
Expected
21%
Shaky Favorites
0%18%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 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.
Probability calibration
0.18
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.08
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.116
Well Within Noise
00.1420.4

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
Helsingfors11.00%13.00%25.00%15.00%14.00%12.00%9.00%1.00%——
KTP46.00%23.00%11.00%10.00%4.00%6.00%————
Ilves11.00%10.00%17.00%17.00%19.00%13.00%10.00%3.00%——
AC Oulu2.00%4.00%6.00%15.00%19.00%19.00%15.00%10.00%7.00%3.00%
Haka16.00%37.00%13.00%16.00%10.00%4.00%2.00%1.00%1.00%—
PK-35 Vantaa14.00%11.00%20.00%17.00%15.00%12.00%8.00%2.00%1.00%—
JJK—1.00%2.00%6.00%10.00%18.00%23.00%28.00%11.00%1.00%
FC Jazz——6.00%4.00%6.00%10.00%21.00%25.00%23.00%5.00%
JIPPO—1.00%———4.00%10.00%17.00%30.00%38.00%
Viikingit————3.00%2.00%2.00%13.00%27.00%53.00%

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 Same level Direct relegation
KTP 46.00% 54.00% —
Haka 16.00% 83.00% 1.00%
PK-35 Vantaa 14.00% 85.00% 1.00%
Helsingfors 11.00% 89.00% —
Ilves 11.00% 89.00% —
AC Oulu 2.00% 88.00% 10.00%
JJK — 88.00% 12.00%
FC Jazz — 72.00% 28.00%
JIPPO — 32.00% 68.00%
Viikingit — 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
2014-04-26 JJK W 2-036.0 1179 1129 50.47% 28.62% 20.91%+0.67 +15.9 3
2014-04-26 @ Haka L 0-236.0 1129 1179 20.91% 28.62% 50.47%-0.67 -15.8 0
2014-04-27 AC Oulu L 0-146.3 1128 1107 46.92% 29.21% 23.87%+0.44 -15.6 0
2014-04-27 @ FC Jazz W 1-046.3 1107 1128 23.87% 29.21% 46.92%-0.44 +15.6 3
2014-04-27 Ilves W 2-146.6 1092 1127 39.61% 29.89% 30.51%-0.01 +10.7 3
2014-04-27 @ PK-35 Vantaa L 1-246.6 1127 1092 30.51% 29.89% 39.61%+0.01 -10.6 0
2014-04-27 Viikingit W 1-040.8 1076 1092 42.16% 29.73% 28.11%+0.14 +10.6 3
2014-04-27 @ JIPPO L 0-140.8 1092 1076 28.11% 29.73% 42.16%-0.14 -10.6 0
2014-04-28 Helsingfors W 2-035.7 1121 1063 51.37% 28.44% 20.20%+0.73 +15.4 3
2014-04-28 @ KTP L 0-235.7 1063 1121 20.20% 28.44% 51.37%-0.73 -15.4 0
2014-05-04 FC Jazz L 0-144.7 1086 1113 40.82% 29.82% 29.36%+0.06 -13.9 3
2014-05-04 @ JIPPO W 1-044.7 1113 1086 29.36% 29.82% 40.82%-0.06 +14.0 3
2014-05-05 Ilves W 2-040.6 1048 1117 34.84% 30.00% 35.17%-0.28 +23.6 3
2014-05-05 @ Helsingfors L 0-240.6 1117 1048 35.17% 30.00% 34.84%+0.28 -23.6 0
2014-05-06 AC Oulu D 0-047.4 1195 1123 52.95% 28.09% 18.96%+0.85 -2.7 4
2014-05-06 @ Haka D 0-047.4 1123 1195 18.96% 28.09% 52.95%-0.85 +2.7 4
2014-05-07 PK-35 Vantaa W 2-143.9 1136 1103 48.49% 28.97% 22.54%+0.54 +8.4 6
2014-05-07 @ KTP L 1-243.9 1103 1136 22.54% 28.97% 48.49%-0.54 -8.4 3
2014-05-07 Viikingit D 0-047.1 1113 1081 48.28% 29.01% 22.71%+0.52 -2.0 1
2014-05-07 @ JJK D 0-047.1 1081 1113 22.71% 29.01% 48.28%-0.52 +2.0 1
2014-05-11 Helsingfors D 2-256.6 1126 1072 50.95% 28.52% 20.53%+0.71 -1.6 5
2014-05-11 @ AC Oulu D 2-256.6 1072 1126 20.53% 28.52% 50.95%-0.71 +1.6 4
2014-05-11 JIPPO D 0-047.0 1095 1073 47.10% 29.18% 23.72%+0.45 -1.8 4
2014-05-11 @ PK-35 Vantaa D 0-047.0 1073 1095 23.72% 29.18% 47.10%-0.45 +1.8 4
2014-05-11 JJK W 4-141.8 1093 1111 41.92% 29.74% 28.34%+0.13 +24.7 3
2014-05-11 @ Ilves L 1-441.8 1111 1093 28.34% 29.74% 41.92%-0.13 -24.7 1
2014-05-12 Haka D 2-256.3 1126 1192 35.30% 30.00% 34.71%-0.26 -0.0 4
2014-05-12 @ FC Jazz D 2-256.3 1192 1126 34.71% 30.00% 35.30%+0.26 +0.0 5
2014-05-12 KTP L 0-438.2 1083 1145 35.84% 29.99% 34.17%-0.23 -45.4 1
2014-05-12 @ Viikingit W 4-038.2 1145 1083 34.17% 29.99% 35.84%+0.23 +45.4 9
2014-05-17 FC Jazz W 1-041.8 1086 1126 38.87% 29.92% 31.21%-0.05 +11.5 4
2014-05-17 @ JJK L 0-141.8 1126 1086 31.21% 29.92% 38.87%+0.05 -11.5 4
2014-05-17 JIPPO W 2-036.2 1118 1074 49.69% 28.76% 21.54%+0.62 +16.2 6
2014-05-17 @ Ilves L 0-236.2 1074 1118 21.54% 28.76% 49.69%-0.62 -16.2 4
2014-05-17 KTP D 4-462.5 1124 1190 35.19% 30.00% 34.81%-0.26 -0.0 6
2014-05-17 @ AC Oulu D 4-462.5 1190 1124 34.81% 30.00% 35.19%+0.26 +0.0 10
2014-05-17 PK-35 Vantaa D 1-150.9 1073 1093 41.69% 29.76% 28.55%+0.11 -0.9 5
2014-05-17 @ Helsingfors D 1-150.9 1093 1073 28.55% 29.76% 41.69%-0.11 +0.9 5
2014-05-17 Viikingit W 5-029.9 1192 1038 61.40% 25.46% 13.14%+1.51 +24.0 8
2014-05-17 @ Haka L 0-529.9 1038 1192 13.14% 25.46% 61.40%-1.51 -24.0 1
2014-05-23 AC Oulu W 2-147.9 1058 1124 35.22% 30.00% 34.78%-0.26 +11.7 7
2014-05-23 @ JIPPO L 1-247.9 1124 1058 34.78% 30.00% 35.22%+0.26 -11.7 6
2014-05-23 Haka W 3-037.2 1190 1216 40.87% 29.82% 29.31%+0.06 +30.0 13
2014-05-23 @ KTP L 0-337.2 1216 1190 29.31% 29.82% 40.87%-0.06 -30.0 8
2014-05-23 Helsingfors L 0-441.4 1098 1072 47.51% 29.12% 23.36%+0.47 -56.3 4
2014-05-23 @ JJK W 4-041.4 1072 1098 23.36% 29.12% 47.51%-0.47 +56.3 8
2014-05-23 Ilves D 0-046.9 1115 1134 41.77% 29.76% 28.48%+0.12 -1.0 5
2014-05-23 @ FC Jazz D 0-046.9 1134 1115 28.48% 29.76% 41.77%-0.12 +1.0 7
2014-05-23 PK-35 Vantaa L 0-240.0 1014 1094 33.26% 29.98% 36.76%-0.37 -22.7 1
2014-05-23 @ Viikingit W 2-040.0 1094 1014 36.76% 29.98% 33.26%+0.37 +22.7 8
2014-05-27 JIPPO W 4-033.0 1129 1070 51.49% 28.41% 20.10%+0.74 +29.1 11
2014-05-27 @ Helsingfors L 0-433.0 1070 1129 20.10% 28.41% 51.49%-0.74 -29.1 7
2014-05-28 AC Oulu W 3-035.8 1116 1112 44.81% 29.48% 25.72%+0.30 +27.2 11
2014-05-28 @ PK-35 Vantaa L 0-335.8 1112 1116 25.72% 29.48% 44.81%-0.30 -27.2 6
2014-05-28 FC Jazz L 1-441.5 991 1114 27.65% 29.68% 42.67%-0.72 -24.3 1
2014-05-28 @ Viikingit W 4-141.5 1114 991 42.67% 29.68% 27.65%+0.72 +24.2 8
2014-05-28 Haka W 2-147.3 1135 1186 37.37% 29.97% 32.66%-0.14 +11.2 10
2014-05-28 @ Ilves L 1-247.3 1186 1135 32.66% 29.97% 37.37%+0.14 -11.2 8
2014-05-28 JJK W 3-137.4 1220 1042 63.68% 24.53% 11.79%+1.71 +7.9 16
2014-05-28 @ KTP L 1-337.4 1042 1220 11.79% 24.53% 63.68%-1.71 -7.9 4
2014-06-01 Helsingfors L 1-447.2 1175 1158 46.47% 29.27% 24.26%+0.41 -35.7 8
2014-06-01 @ Haka W 4-147.2 1158 1175 24.26% 29.27% 46.47%-0.41 +35.7 14
2014-06-01 JIPPO W 3-036.2 1034 1041 43.35% 29.62% 27.03%+0.21 +28.3 7
2014-06-01 @ JJK L 0-336.2 1041 1034 27.03% 29.62% 43.35%-0.21 -28.3 7
2014-06-01 KTP D 3-360.5 1146 1228 32.94% 29.97% 37.08%-0.39 +0.2 11
2014-06-01 @ Ilves D 3-360.5 1228 1146 37.08% 29.97% 32.94%+0.39 -0.2 17
2014-06-01 PK-35 Vantaa L 0-243.1 1138 1144 43.59% 29.60% 26.81%+0.23 -27.7 8
2014-06-01 @ FC Jazz W 2-043.1 1144 1138 26.81% 29.60% 43.59%-0.23 +27.7 14
2014-06-01 Viikingit W 2-141.0 1085 967 57.89% 26.71% 15.40%+1.22 +6.0 9
2014-06-01 @ AC Oulu L 1-241.0 967 1085 15.40% 26.71% 57.89%-1.22 -6.0 1
2014-06-04 PK-35 Vantaa L 0-238.8 1062 1171 29.31% 29.82% 40.88%-0.61 -20.7 7
2014-06-04 @ JJK W 2-038.8 1171 1062 40.88% 29.82% 29.31%+0.61 +20.7 17
2014-06-07 Haka L 1-441.4 1012 1139 27.18% 29.64% 43.19%-0.75 -23.9 7
2014-06-07 @ JIPPO W 4-141.4 1139 1012 43.19% 29.64% 27.18%+0.75 +23.9 11
2014-06-07 Ilves L 0-143.5 1091 1146 36.76% 29.98% 33.26%-0.17 -12.9 9
2014-06-07 @ AC Oulu W 1-043.5 1146 1091 33.26% 29.98% 36.76%+0.17 +12.9 14
2014-06-08 JJK W 1-035.2 1192 1041 61.09% 25.58% 13.33%+1.48 +5.5 20
2014-06-08 @ PK-35 Vantaa L 0-135.2 1041 1192 13.33% 25.58% 61.09%-1.48 -5.5 7
2014-06-08 KTP L 0-141.0 1111 1228 28.28% 29.74% 41.98%-0.68 -10.7 8
2014-06-08 @ FC Jazz W 1-041.0 1228 1111 41.98% 29.74% 28.28%+0.68 +10.7 20
2014-06-09 Helsingfors W 3-044.2 961 1193 16.90% 27.37% 55.73%-1.60 +49.2 4
2014-06-09 @ Viikingit L 0-344.2 1193 961 55.73% 27.37% 16.90%+1.60 -49.2 14
2014-06-12 AC Oulu W 3-037.7 1036 1078 38.53% 29.93% 31.54%-0.07 +31.7 10
2014-06-12 @ JJK L 0-337.7 1078 1036 31.54% 29.93% 38.53%+0.07 -31.7 9
2014-06-12 JIPPO W 3-028.4 1239 988 69.71% 21.61% 8.68%+2.28 +9.5 23
2014-06-12 @ KTP L 0-328.4 988 1239 8.68% 21.61% 69.71%-2.28 -9.4 7
2014-06-13 FC Jazz W 3-034.4 1144 1100 49.78% 28.75% 21.47%+0.63 +23.5 17
2014-06-13 @ Helsingfors L 0-334.4 1100 1144 21.47% 28.75% 49.78%-0.63 -23.5 8
2014-06-13 PK-35 Vantaa L 0-144.5 1163 1197 39.67% 29.88% 30.45%-0.01 -13.7 11
2014-06-13 @ Haka W 1-044.5 1197 1163 30.45% 29.88% 39.67%+0.01 +13.6 23
2014-06-14 Viikingit W 2-140.1 1159 1010 60.93% 25.64% 13.43%+1.47 +5.2 17
2014-06-14 @ Ilves L 1-240.1 1010 1159 13.43% 25.64% 60.93%-1.47 -5.2 4
2014-06-17 Haka L 0-338.2 1067 1149 32.95% 29.97% 37.08%-0.39 -32.7 10
2014-06-17 @ JJK W 3-038.2 1149 1067 37.08% 29.97% 32.95%+0.39 +32.7 14
2014-06-18 FC Jazz W 2-146.3 1047 1076 40.31% 29.85% 29.84%+0.03 +10.5 12
2014-06-18 @ AC Oulu L 1-246.3 1076 1047 29.84% 29.85% 40.31%-0.03 -10.5 8
2014-06-18 Ilves L 0-147.2 1211 1165 50.06% 28.70% 21.24%+0.64 -16.4 23
2014-06-18 @ PK-35 Vantaa W 1-047.2 1165 1211 21.24% 28.70% 50.06%-0.64 +16.4 20
2014-06-18 Viikingit W 4-248.3 979 1005 40.84% 29.82% 29.34%+0.06 +16.0 10
2014-06-18 @ JIPPO L 2-448.3 1005 979 29.34% 29.82% 40.84%-0.06 -16.0 4
2014-06-23 Helsingfors W 3-033.3 1248 1168 53.94% 27.85% 18.21%+0.92 +20.4 26
2014-06-23 @ KTP L 0-333.3 1168 1248 18.21% 27.85% 53.94%-0.92 -20.4 17
2014-06-25 Haka D 0-046.9 1057 1182 27.37% 29.66% 42.98%-0.74 +1.2 13
2014-06-25 @ AC Oulu D 0-046.9 1182 1057 42.98% 29.66% 27.37%+0.74 -1.2 15
2014-06-26 Helsingfors D 0-047.2 1181 1147 48.53% 28.97% 22.51%+0.54 -2.0 21
2014-06-26 @ Ilves D 0-047.2 1147 1181 22.51% 28.97% 48.53%-0.54 +2.0 18
2014-06-26 JIPPO L 0-147.7 1066 995 52.84% 28.11% 19.04%+0.84 -17.2 8
2014-06-26 @ FC Jazz W 1-047.7 995 1066 19.04% 28.11% 52.84%-0.84 +17.2 13
2014-06-26 JJK L 2-353.9 989 1035 38.10% 29.95% 31.95%-0.10 -11.9 4
2014-06-26 @ Viikingit W 3-253.9 1035 989 31.95% 29.95% 38.10%+0.10 +11.9 13
2014-06-26 KTP D 2-256.5 1195 1269 34.08% 29.99% 35.93%-0.32 +0.1 24
2014-06-26 @ PK-35 Vantaa D 2-256.5 1269 1195 35.93% 29.99% 34.08%+0.32 -0.1 27
2014-06-29 AC Oulu W 4-031.9 1149 1058 55.07% 27.55% 17.38%+1.00 +25.5 21
2014-06-29 @ Helsingfors L 0-431.9 1058 1149 17.38% 27.55% 55.07%-1.00 -25.5 13
2014-06-29 FC Jazz D 3-361.5 1181 1049 59.29% 26.24% 14.47%+1.33 -2.1 16
2014-06-29 @ Haka D 3-361.5 1049 1181 14.47% 26.24% 59.29%-1.33 +2.1 9
2014-06-29 Ilves D 2-256.3 1046 1179 26.48% 29.57% 43.95%-0.80 +0.9 14
2014-06-29 @ JJK D 2-256.3 1179 1046 43.95% 29.57% 26.48%+0.80 -0.9 22
2014-06-29 PK-35 Vantaa D 1-151.2 1012 1195 21.16% 28.68% 50.17%-1.20 +2.1 14
2014-06-29 @ JIPPO D 1-151.2 1195 1012 50.17% 28.68% 21.16%+1.20 -2.1 25
2014-06-29 Viikingit W 4-026.6 1269 977 72.87% 19.85% 7.28%+2.61 +10.0 30
2014-06-29 @ KTP L 0-426.6 977 1269 7.28% 19.85% 72.87%-2.61 -10.0 4
2014-07-06 AC Oulu W 2-137.7 1279 1033 69.36% 21.79% 8.84%+2.25 +3.3 33
2014-07-06 @ KTP L 1-237.7 1033 1279 8.84% 21.79% 69.36%-2.25 -3.3 13
2014-07-06 Ilves L 0-236.7 1014 1178 23.03% 29.06% 47.91%-1.05 -17.2 14
2014-07-06 @ JIPPO W 2-036.7 1178 1014 47.91% 29.06% 23.03%+1.05 +17.2 25
2014-07-11 JIPPO W 3-034.7 1029 997 48.34% 29.00% 22.67%+0.53 +24.6 16
2014-07-11 @ AC Oulu L 0-334.7 997 1029 22.67% 29.00% 48.34%-0.53 -24.6 14
2014-07-13 JJK L 1-254.0 1175 1047 58.82% 26.40% 14.77%+1.29 -17.7 21
2014-07-13 @ Helsingfors W 2-154.0 1047 1175 14.77% 26.40% 58.82%-1.29 +17.7 17
2014-07-13 KTP W 3-147.7 1179 1282 30.12% 29.87% 40.01%-0.56 +22.4 19
2014-07-13 @ Haka L 1-347.7 1282 1179 40.01% 29.87% 30.12%+0.56 -22.4 33
2014-07-13 PK-35 Vantaa D 0-047.5 967 1193 17.41% 27.56% 55.03%-1.55 +3.1 5
2014-07-13 @ Viikingit D 0-047.5 1193 967 55.03% 27.56% 17.41%+1.55 -3.1 26
2014-07-16 Haka D 0-047.1 1195 1201 43.49% 29.61% 26.90%+0.22 -1.3 26
2014-07-16 @ Ilves D 0-047.1 1201 1195 26.90% 29.61% 43.49%-0.22 +1.3 20
2014-07-16 KTP W 2-152.5 1065 1259 20.05% 28.40% 51.55%-1.29 +15.9 20
2014-07-16 @ JJK L 1-252.5 1259 1065 51.55% 28.40% 20.05%+1.29 -15.9 33
2014-07-16 Viikingit D 3-361.0 1051 970 53.94% 27.85% 18.21%+0.92 -1.6 10
2014-07-16 @ FC Jazz D 3-361.0 970 1051 18.21% 27.85% 53.94%-0.92 +1.6 6
2014-07-17 JIPPO W 4-241.4 1157 973 64.18% 24.31% 11.51%+1.75 +6.9 24
2014-07-17 @ Helsingfors L 2-441.4 973 1157 11.51% 24.31% 64.18%-1.75 -6.9 14
2014-07-18 PK-35 Vantaa D 1-151.0 1054 1190 26.10% 29.52% 44.37%-0.82 +1.2 17
2014-07-18 @ AC Oulu D 1-151.0 1190 1054 44.37% 29.52% 26.10%+0.82 -1.2 27
2014-07-20 Helsingfors W 1-038.9 1203 1164 49.11% 28.87% 22.03%+0.58 +8.8 23
2014-07-20 @ Haka L 0-138.9 1164 1203 22.03% 28.87% 49.11%-0.58 -8.8 24
2014-07-20 Ilves W 1-038.6 1244 1194 50.43% 28.63% 20.94%+0.67 +8.4 36
2014-07-20 @ KTP L 0-138.6 1194 1244 20.94% 28.63% 50.43%-0.67 -8.4 26
2014-07-20 JJK L 2-351.0 966 1081 28.56% 29.76% 41.67%-0.66 -9.6 14
2014-07-20 @ JIPPO W 3-251.0 1081 966 41.67% 29.76% 28.56%+0.66 +9.6 23
2014-07-21 FC Jazz D 1-152.0 1188 1049 59.98% 26.00% 14.02%+1.39 -3.4 28
2014-07-21 @ PK-35 Vantaa D 1-152.0 1049 1188 14.02% 26.00% 59.98%-1.39 +3.4 11
2014-07-22 AC Oulu L 0-239.9 972 1055 32.75% 29.97% 37.28%-0.40 -22.4 6
2014-07-22 @ Viikingit W 2-039.9 1055 972 37.28% 29.97% 32.75%+0.40 +22.4 20
2014-07-25 JJK D 1-150.8 1053 1091 39.18% 29.91% 30.92%-0.04 -0.5 12
2014-07-25 @ FC Jazz D 1-150.8 1091 1053 30.92% 29.91% 39.18%+0.04 +0.5 24
2014-07-26 JIPPO W 5-027.3 1211 956 70.11% 21.40% 8.50%+2.32 +14.8 26
2014-07-26 @ Haka L 0-527.3 956 1211 8.50% 21.40% 70.11%-2.32 -14.8 14
2014-07-26 Viikingit W 3-136.6 1155 949 66.05% 23.45% 10.49%+1.93 +7.0 27
2014-07-26 @ Helsingfors L 1-336.6 949 1155 10.49% 23.45% 66.05%-1.93 -7.0 6
2014-07-27 AC Oulu L 0-148.7 1186 1078 56.84% 27.04% 16.12%+1.14 -18.3 26
2014-07-27 @ Ilves W 1-048.7 1078 1186 16.12% 27.04% 56.84%-1.14 +18.3 23
2014-07-29 FC Jazz W 4-134.7 1252 1052 65.54% 23.69% 10.77%+1.88 +10.2 39
2014-07-29 @ KTP L 1-434.7 1052 1252 10.77% 23.69% 65.54%-1.88 -10.2 12
2014-08-02 Ilves L 1-241.9 942 1167 17.47% 27.58% 54.95%-1.54 -6.8 6
2014-08-02 @ Viikingit W 2-141.9 1167 942 54.95% 27.58% 17.47%+1.54 +6.8 29
2014-08-03 Haka L 1-249.2 1185 1226 38.74% 29.92% 31.34%-0.06 -12.7 28
2014-08-03 @ PK-35 Vantaa W 2-149.2 1226 1185 31.34% 29.92% 38.74%+0.06 +12.6 29
2014-08-03 Helsingfors L 0-535.6 1042 1162 27.94% 29.71% 42.35%-0.70 -46.7 12
2014-08-03 @ FC Jazz W 5-035.6 1162 1042 42.35% 29.71% 27.94%+0.70 +46.7 30
2014-08-03 KTP L 1-435.1 941 1262 11.44% 24.25% 64.31%-2.31 -10.9 14
2014-08-03 @ JIPPO W 4-135.1 1262 941 64.31% 24.25% 11.44%+2.31 +10.9 42
2014-08-07 FC Jazz D 1-151.6 1096 995 56.09% 27.26% 16.64%+1.08 -2.9 24
2014-08-07 @ AC Oulu D 1-151.6 995 1096 16.64% 27.26% 56.09%-1.08 +2.9 13
2014-08-07 JIPPO L 0-145.8 936 930 44.96% 29.46% 25.58%+0.31 -15.0 6
2014-08-07 @ Viikingit W 1-045.8 930 936 25.58% 29.46% 44.96%-0.31 +15.0 17
2014-08-07 JJK D 2-257.6 1239 1091 60.79% 25.70% 13.51%+1.46 -2.6 30
2014-08-07 @ Haka D 2-257.6 1091 1239 13.51% 25.70% 60.79%-1.46 +2.6 25
2014-08-07 KTP W 4-144.1 1209 1273 35.48% 29.99% 34.52%-0.25 +28.5 33
2014-08-07 @ Helsingfors L 1-444.1 1273 1209 34.52% 29.99% 35.48%+0.25 -28.5 42
2014-08-07 PK-35 Vantaa L 0-243.4 1174 1172 44.50% 29.51% 25.99%+0.28 -28.1 29
2014-08-07 @ Ilves W 2-043.4 1172 1174 25.99% 29.51% 44.50%-0.28 +28.1 31
2014-08-10 FC Jazz L 1-346.5 945 998 37.12% 29.97% 32.91%-0.15 -21.2 17
2014-08-10 @ JIPPO W 3-146.5 998 945 32.91% 29.97% 37.12%+0.15 +21.2 16
2014-08-11 AC Oulu L 2-456.6 1236 1093 60.36% 25.86% 13.79%+1.42 -28.1 30
2014-08-11 @ Haka W 4-256.6 1093 1236 13.79% 25.86% 60.36%-1.42 +28.1 27
2014-08-11 Ilves L 2-358.4 1237 1146 55.12% 27.54% 17.34%+1.01 -15.9 33
2014-08-11 @ Helsingfors W 3-258.4 1146 1237 17.34% 27.54% 55.12%-1.01 +15.9 32
2014-08-11 PK-35 Vantaa L 1-350.3 1245 1200 49.77% 28.75% 21.48%+0.62 -26.7 42
2014-08-11 @ KTP W 3-150.3 1200 1245 21.48% 28.75% 49.77%-0.62 +26.7 34
2014-08-11 Viikingit W 4-029.4 1094 920 63.17% 24.74% 12.08%+1.66 +17.8 28
2014-08-11 @ JJK L 0-429.4 920 1094 12.08% 24.74% 63.17%-1.66 -17.8 6
2014-08-16 JJK L 1-252.2 1162 1112 50.49% 28.61% 20.90%+0.67 -15.6 32
2014-08-16 @ Ilves W 2-152.2 1112 1162 20.90% 28.61% 50.49%-0.67 +15.6 31
2014-08-17 Haka L 0-235.8 1019 1208 20.57% 28.53% 50.90%-1.25 -15.6 16
2014-08-17 @ FC Jazz W 2-035.8 1208 1019 50.90% 28.53% 20.57%+1.25 +15.6 33
2014-08-17 Helsingfors W 2-149.4 1121 1221 30.47% 29.88% 39.64%-0.54 +12.9 30
2014-08-17 @ AC Oulu L 1-249.4 1221 1121 39.64% 29.88% 30.47%+0.54 -12.9 33
2014-08-17 JIPPO W 2-029.0 1227 924 73.71% 19.36% 6.93%+2.71 +5.0 37
2014-08-17 @ PK-35 Vantaa L 0-229.0 924 1227 6.93% 19.36% 73.71%-2.71 -5.0 17
2014-08-17 KTP L 0-330.1 903 1218 11.73% 24.48% 63.80%-2.26 -13.2 6
2014-08-17 @ Viikingit W 3-030.1 1218 903 63.80% 24.48% 11.73%+2.26 +13.2 45
2014-08-23 JIPPO W 1-033.1 1146 919 67.83% 22.58% 9.59%+2.10 +3.9 35
2014-08-23 @ Ilves L 0-133.1 919 1146 9.59% 22.58% 67.83%-2.10 -3.9 17
2014-08-23 KTP D 1-150.9 1134 1231 30.90% 29.91% 39.19%-0.51 +0.5 31
2014-08-23 @ AC Oulu D 1-150.9 1231 1134 39.19% 29.91% 30.90%+0.51 -0.5 46
2014-08-23 PK-35 Vantaa D 1-151.1 1209 1232 41.16% 29.80% 29.04%+0.08 -0.8 34
2014-08-23 @ Helsingfors D 1-151.1 1232 1209 29.04% 29.80% 41.16%-0.08 +0.8 38
2014-08-23 Viikingit W 2-028.3 1224 889 75.92% 18.03% 6.05%+2.96 +4.2 36
2014-08-23 @ Haka L 0-228.3 889 1224 6.05% 18.03% 75.92%-2.96 -4.2 6
2014-08-25 FC Jazz L 1-351.9 1127 1004 58.43% 26.54% 15.03%+1.26 -30.5 31
2014-08-25 @ JJK W 3-151.9 1004 1127 15.03% 26.54% 58.43%-1.26 +30.6 19
2014-08-30 AC Oulu D 0-047.4 915 1134 17.93% 27.75% 54.32%-1.49 +3.0 18
2014-08-30 @ JIPPO D 0-047.4 1134 915 54.32% 27.75% 17.93%+1.49 -3.0 32
2014-08-31 Viikingit W 5-234.4 1233 885 76.83% 17.47% 5.70%+3.07 +4.2 41
2014-08-31 @ PK-35 Vantaa L 2-534.4 885 1233 5.70% 17.47% 76.83%-3.07 -4.2 6
2014-09-01 Haka W 3-036.2 1231 1228 44.63% 29.50% 25.88%+0.29 +27.3 49
2014-09-01 @ KTP L 0-336.2 1228 1231 25.88% 29.50% 44.63%-0.29 -27.3 36
2014-09-01 Helsingfors L 0-436.1 1097 1208 29.09% 29.80% 41.11%-0.62 -39.0 31
2014-09-01 @ JJK W 4-036.1 1208 1097 41.11% 29.80% 29.09%+0.62 +39.0 37
2014-09-01 Ilves L 0-140.9 1034 1150 28.50% 29.76% 41.75%-0.66 -10.8 19
2014-09-01 @ FC Jazz W 1-040.9 1150 1034 41.75% 29.76% 28.50%+0.66 +10.7 38
2014-09-05 JJK W 3-140.5 1132 1058 53.20% 28.03% 18.77%+0.86 +12.5 35
2014-09-05 @ AC Oulu L 1-340.5 1058 1132 18.77% 28.03% 53.20%-0.86 -12.5 31
2014-09-06 FC Jazz W 3-031.3 1161 1023 59.79% 26.06% 14.14%+1.37 +16.1 41
2014-09-06 @ Ilves L 0-331.3 1023 1161 14.14% 26.06% 59.79%-1.37 -16.1 19
2014-09-06 Haka L 1-337.2 881 1201 11.51% 24.31% 64.19%-2.30 -7.7 6
2014-09-06 @ Viikingit W 3-137.2 1201 881 64.19% 24.31% 11.51%+2.30 +7.7 39
2014-09-07 Helsingfors D 2-256.6 1237 1247 43.01% 29.65% 27.33%+0.19 -0.8 42
2014-09-07 @ PK-35 Vantaa D 2-256.6 1247 1237 27.33% 29.65% 43.01%-0.19 +0.8 38
2014-09-11 Ilves W 4-140.0 1208 1177 48.25% 29.01% 22.74%+0.52 +20.8 42
2014-09-11 @ Haka L 1-440.0 1177 1208 22.74% 29.01% 48.25%-0.52 -20.8 41
2014-09-11 JJK L 1-255.4 1258 1045 66.64% 23.17% 10.19%+1.98 -19.6 49
2014-09-11 @ KTP W 2-155.4 1045 1258 10.19% 23.17% 66.64%-1.98 +19.6 34
2014-09-14 AC Oulu L 0-246.0 1236 1144 55.20% 27.52% 17.28%+1.01 -33.6 42
2014-09-14 @ PK-35 Vantaa W 2-046.0 1144 1236 17.28% 27.52% 55.20%-1.01 +33.6 38
2014-09-14 FC Jazz L 1-245.1 873 1007 26.28% 29.54% 44.17%-0.81 -9.5 6
2014-09-14 @ Viikingit W 2-145.1 1007 873 44.17% 29.54% 26.28%+0.81 +9.5 22
2014-09-14 Helsingfors L 0-329.8 918 1248 11.03% 23.92% 65.05%-2.38 -12.4 18
2014-09-14 @ JIPPO W 3-029.8 1248 918 65.05% 23.92% 11.03%+2.38 +12.4 41
2014-09-20 Haka W 2-144.4 1260 1229 48.18% 29.02% 22.80%+0.52 +8.5 44
2014-09-20 @ Helsingfors L 1-244.4 1229 1260 22.80% 29.02% 48.18%-0.52 -8.5 42
2014-09-20 KTP W 2-041.4 1156 1238 32.93% 29.97% 37.10%-0.39 +24.5 44
2014-09-20 @ Ilves L 0-241.4 1238 1156 37.10% 29.97% 32.93%+0.39 -24.5 49
2014-09-20 PK-35 Vantaa L 1-341.3 1017 1203 20.85% 28.60% 50.55%-1.22 -13.7 22
2014-09-20 @ FC Jazz W 3-141.3 1203 1017 50.55% 28.60% 20.85%+1.22 +13.7 45
2014-09-20 Viikingit W 7-026.7 1178 864 74.50% 18.90% 6.61%+2.79 +15.1 41
2014-09-20 @ AC Oulu L 0-726.7 864 1178 6.61% 18.90% 74.50%-2.79 -15.1 6
2014-09-22 JIPPO W 4-135.8 1065 906 61.84% 25.29% 12.87%+1.55 +12.3 37
2014-09-22 @ JJK L 1-435.8 906 1065 12.87% 25.29% 61.84%-1.55 -12.3 18
2014-09-28 Haka D 1-152.6 894 1221 11.14% 24.01% 64.85%-2.36 +4.1 19
2014-09-28 @ JIPPO D 1-152.6 1221 894 64.85% 24.01% 11.14%+2.36 -4.1 43
2014-09-28 Helsingfors L 0-327.5 849 1269 7.49% 20.14% 72.38%-3.11 -7.9 6
2014-09-28 @ Viikingit W 3-027.5 1269 849 72.38% 20.14% 7.49%+3.11 +7.9 47
2014-09-28 Ilves W 4-140.7 1193 1181 45.86% 29.35% 24.79%+0.37 +22.3 44
2014-09-28 @ AC Oulu L 1-440.7 1181 1193 24.79% 29.35% 45.86%-0.37 -22.3 44
2014-09-28 JJK D 1-152.1 1216 1077 59.99% 25.99% 14.02%+1.39 -3.4 46
2014-09-28 @ PK-35 Vantaa D 1-152.1 1077 1216 14.02% 25.99% 59.99%-1.39 +3.4 38
2014-09-28 KTP W 2-045.5 1003 1214 18.64% 27.99% 53.37%-1.42 +32.7 25
2014-09-28 @ FC Jazz L 0-245.5 1214 1003 53.37% 27.99% 18.64%+1.42 -32.7 49
2014-10-04 AC Oulu L 1-245.2 1080 1215 26.23% 29.54% 44.23%-0.81 -9.5 38
2014-10-04 @ JJK W 2-145.2 1215 1080 44.23% 29.54% 26.23%+0.81 +9.5 47
2014-10-04 FC Jazz W 4-240.0 1276 1036 68.93% 22.02% 9.05%+2.20 +5.3 50
2014-10-04 @ Helsingfors L 2-440.0 1036 1276 9.05% 22.02% 68.93%-2.20 -5.3 25
2014-10-04 JIPPO D 0-049.7 1181 898 72.27% 20.20% 7.53%+2.55 -5.5 50
2014-10-04 @ KTP D 0-049.7 898 1181 7.53% 20.20% 72.27%-2.55 +5.5 20
2014-10-04 PK-35 Vantaa W 6-035.5 1217 1213 44.75% 29.48% 25.77%+0.30 +52.1 46
2014-10-04 @ Haka L 0-635.5 1213 1217 25.77% 29.48% 44.75%-0.30 -52.1 46
2014-10-04 Viikingit W 10-027.3 1158 841 74.76% 18.74% 6.50%+2.82 +20.9 47
2014-10-04 @ Ilves L 0-1027.3 841 1158 6.50% 18.74% 74.76%-2.82 -20.9 6

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 2014-09-11 10.19% JJK 1045 2 @ KTP 1258 1
2 2014-08-11 13.79% AC Oulu 1093 4 @ Haka 1236 2
3 2014-07-13 14.77% JJK 1047 2 @ Helsingfors 1175 1
4 2014-08-25 15.03% FC Jazz 1004 3 @ JJK 1127 1
5 2014-07-27 16.12% AC Oulu 1078 1 @ Ilves 1186 0
6 2014-06-09 16.90% @ Viikingit 961 3 Helsingfors 1193 0
7 2014-09-14 17.28% AC Oulu 1144 2 @ PK-35 Vantaa 1236 0
8 2014-08-11 17.34% Ilves 1146 3 @ Helsingfors 1237 2
9 2014-09-28 18.64% @ FC Jazz 1003 2 KTP 1214 0
10 2014-06-26 19.04% JIPPO 995 1 @ FC Jazz 1066 0
11 2014-07-16 20.05% @ JJK 1065 2 KTP 1259 1
12 2014-08-16 20.90% JJK 1112 2 @ Ilves 1162 1
13 2014-06-18 21.24% Ilves 1165 1 @ PK-35 Vantaa 1211 0
14 2014-08-11 21.48% PK-35 Vantaa 1200 3 @ KTP 1245 1
15 2014-05-23 23.36% Helsingfors 1072 4 @ JJK 1098 0
16 2014-04-27 23.87% AC Oulu 1107 1 @ FC Jazz 1128 0
17 2014-06-01 24.26% Helsingfors 1158 4 @ Haka 1175 1
18 2014-08-07 25.58% JIPPO 930 1 @ Viikingit 936 0
19 2014-08-07 25.99% PK-35 Vantaa 1172 2 @ Ilves 1174 0
20 2014-06-01 26.81% PK-35 Vantaa 1144 2 @ FC Jazz 1138 0
21 2014-05-04 29.36% FC Jazz 1113 1 @ JIPPO 1086 0
22 2014-07-13 30.12% @ Haka 1179 3 KTP 1282 1
23 2014-06-13 30.45% PK-35 Vantaa 1197 1 @ Haka 1163 0
24 2014-08-17 30.47% @ AC Oulu 1121 2 Helsingfors 1221 1
25 2014-08-03 31.34% Haka 1226 2 @ PK-35 Vantaa 1185 1

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 2014-05-23 56.27 Helsingfors 4 1072 23.36% @ JJK 0 1098 47.51% 29.12%
2 2014-10-04 52.12 @ Haka 6 1217 44.75% PK-35 Vantaa 0 1213 25.77% 29.48%
3 2014-06-09 49.23 @ Viikingit 3 961 16.90% Helsingfors 0 1193 55.73% 27.37%
4 2014-08-03 46.68 Helsingfors 5 1162 42.35% @ FC Jazz 0 1042 27.94% 29.71%
5 2014-05-12 45.36 KTP 4 1145 34.17% @ Viikingit 0 1083 35.84% 29.99%
6 2014-09-01 39.04 Helsingfors 4 1208 41.11% @ JJK 0 1097 29.09% 29.80%
7 2014-06-01 35.67 Helsingfors 4 1158 24.26% @ Haka 1 1175 46.47% 29.27%
8 2014-09-14 33.62 AC Oulu 2 1144 17.28% @ PK-35 Vantaa 0 1236 55.20% 27.52%
9 2014-06-17 32.72 Haka 3 1149 37.08% @ JJK 0 1067 32.95% 29.97%
10 2014-09-28 32.68 @ FC Jazz 2 1003 18.64% KTP 0 1214 53.37% 27.99%
11 2014-06-12 31.70 @ JJK 3 1036 38.53% AC Oulu 0 1078 31.54% 29.93%
12 2014-08-25 30.55 FC Jazz 3 1004 15.03% @ JJK 1 1127 58.43% 26.54%
13 2014-05-23 30.05 @ KTP 3 1190 40.87% Haka 0 1216 29.31% 29.82%
14 2014-05-27 29.07 @ Helsingfors 4 1129 51.49% JIPPO 0 1070 20.10% 28.41%
15 2014-08-07 28.52 @ Helsingfors 4 1209 35.48% KTP 1 1273 34.52% 29.99%
16 2014-06-01 28.27 @ JJK 3 1034 43.35% JIPPO 0 1041 27.03% 29.62%
17 2014-08-07 28.13 PK-35 Vantaa 2 1172 25.99% @ Ilves 0 1174 44.50% 29.51%
18 2014-08-11 28.07 AC Oulu 4 1093 13.79% @ Haka 2 1236 60.36% 25.86%
19 2014-06-01 27.67 PK-35 Vantaa 2 1144 26.81% @ FC Jazz 0 1138 43.59% 29.60%
20 2014-09-01 27.34 @ KTP 3 1231 44.63% Haka 0 1228 25.88% 29.50%
21 2014-05-28 27.22 @ PK-35 Vantaa 3 1116 44.81% AC Oulu 0 1112 25.72% 29.48%
22 2014-08-11 26.69 PK-35 Vantaa 3 1200 21.48% @ KTP 1 1245 49.77% 28.75%
23 2014-06-29 25.55 @ Helsingfors 4 1149 55.07% AC Oulu 0 1058 17.38% 27.55%
24 2014-05-11 24.71 @ Ilves 4 1093 41.92% JJK 1 1111 28.34% 29.74%
25 2014-07-11 24.61 @ AC Oulu 3 1029 48.34% JIPPO 0 997 22.67% 29.00%

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 2014-05-17 62.5 @ AC Oulu 4 1124 35.19% KTP 4 1190 34.81% 30.00%
2 2014-06-29 61.5 @ Haka 3 1181 59.29% FC Jazz 3 1049 14.47% 26.24%
3 2014-07-16 61.0 @ FC Jazz 3 1051 53.94% Viikingit 3 970 18.21% 27.85%
4 2014-06-01 60.5 @ Ilves 3 1146 32.94% KTP 3 1228 37.08% 29.97%
5 2014-08-11 58.4 Ilves 3 1146 17.34% @ Helsingfors 2 1237 55.12% 27.54%
6 2014-08-07 57.6 @ Haka 2 1239 60.79% JJK 2 1091 13.51% 25.70%
7 2014-05-11 56.6 @ AC Oulu 2 1126 50.95% Helsingfors 2 1072 20.53% 28.52%
8 2014-08-11 56.6 AC Oulu 4 1093 13.79% @ Haka 2 1236 60.36% 25.86%
9 2014-09-07 56.6 @ PK-35 Vantaa 2 1237 43.01% Helsingfors 2 1247 27.33% 29.65%
10 2014-06-26 56.5 @ PK-35 Vantaa 2 1195 34.08% KTP 2 1269 35.93% 29.99%
11 2014-05-12 56.3 @ FC Jazz 2 1126 35.30% Haka 2 1192 34.71% 30.00%
12 2014-06-29 56.3 @ JJK 2 1046 26.48% Ilves 2 1179 43.95% 29.57%
13 2014-09-11 55.4 JJK 2 1045 10.19% @ KTP 1 1258 66.64% 23.17%
14 2014-07-13 54.0 JJK 2 1047 14.77% @ Helsingfors 1 1175 58.82% 26.40%
15 2014-06-26 53.9 JJK 3 1035 31.95% @ Viikingit 2 989 38.10% 29.95%
16 2014-09-28 52.6 @ JIPPO 1 894 11.14% Haka 1 1221 64.85% 24.01%
17 2014-07-16 52.5 @ JJK 2 1065 20.05% KTP 1 1259 51.55% 28.40%
18 2014-08-16 52.2 JJK 2 1112 20.90% @ Ilves 1 1162 50.49% 28.61%
19 2014-09-28 52.1 @ PK-35 Vantaa 1 1216 59.99% JJK 1 1077 14.02% 25.99%
20 2014-07-21 52.0 @ PK-35 Vantaa 1 1188 59.98% FC Jazz 1 1049 14.02% 26.00%
21 2014-08-25 51.9 FC Jazz 3 1004 15.03% @ JJK 1 1127 58.43% 26.54%
22 2014-08-07 51.6 @ AC Oulu 1 1096 56.09% FC Jazz 1 995 16.64% 27.26%
23 2014-06-29 51.2 @ JIPPO 1 1012 21.16% PK-35 Vantaa 1 1195 50.17% 28.68%
24 2014-08-23 51.1 @ Helsingfors 1 1209 41.16% PK-35 Vantaa 1 1232 29.04% 29.80%
25 2014-07-18 51.0 @ AC Oulu 1 1054 26.10% PK-35 Vantaa 1 1190 44.37% 29.52%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-06-29 26.6 @ KTP 4 1269 72.87% Viikingit 0 977 7.28% 19.85%
2 2014-09-20 26.7 @ AC Oulu 7 1178 74.50% Viikingit 0 864 6.61% 18.90%
3 2014-07-26 27.3 @ Haka 5 1211 70.11% JIPPO 0 956 8.50% 21.40%
4 2014-10-04 27.3 @ Ilves 10 1158 74.76% Viikingit 0 841 6.50% 18.74%
5 2014-09-28 27.5 Helsingfors 3 1269 72.38% @ Viikingit 0 849 7.49% 20.14%
6 2014-08-23 28.3 @ Haka 2 1224 75.92% Viikingit 0 889 6.05% 18.03%
7 2014-06-12 28.4 @ KTP 3 1239 69.71% JIPPO 0 988 8.68% 21.61%
8 2014-08-17 29.0 @ PK-35 Vantaa 2 1227 73.71% JIPPO 0 924 6.93% 19.36%
9 2014-08-11 29.4 @ JJK 4 1094 63.17% Viikingit 0 920 12.08% 24.74%
10 2014-09-14 29.8 Helsingfors 3 1248 65.05% @ JIPPO 0 918 11.03% 23.92%
11 2014-05-17 29.9 @ Haka 5 1192 61.40% Viikingit 0 1038 13.14% 25.46%
12 2014-08-17 30.1 KTP 3 1218 63.80% @ Viikingit 0 903 11.73% 24.48%
13 2014-09-06 31.3 @ Ilves 3 1161 59.79% FC Jazz 0 1023 14.14% 26.06%
14 2014-06-29 31.9 @ Helsingfors 4 1149 55.07% AC Oulu 0 1058 17.38% 27.55%
15 2014-05-27 33.0 @ Helsingfors 4 1129 51.49% JIPPO 0 1070 20.10% 28.41%
16 2014-08-23 33.1 @ Ilves 1 1146 67.83% JIPPO 0 919 9.59% 22.58%
17 2014-06-23 33.3 @ KTP 3 1248 53.94% Helsingfors 0 1168 18.21% 27.85%
18 2014-06-13 34.4 @ Helsingfors 3 1144 49.78% FC Jazz 0 1100 21.47% 28.75%
19 2014-08-31 34.4 @ PK-35 Vantaa 5 1233 76.83% Viikingit 2 885 5.70% 17.47%
20 2014-07-11 34.7 @ AC Oulu 3 1029 48.34% JIPPO 0 997 22.67% 29.00%
21 2014-07-29 34.7 @ KTP 4 1252 65.54% FC Jazz 1 1052 10.77% 23.69%
22 2014-08-03 35.1 KTP 4 1262 64.31% @ JIPPO 1 941 11.44% 24.25%
23 2014-06-08 35.2 @ PK-35 Vantaa 1 1192 61.09% JJK 0 1041 13.33% 25.58%
24 2014-10-04 35.5 @ Haka 6 1217 44.75% PK-35 Vantaa 0 1213 25.77% 29.48%
25 2014-08-03 35.6 Helsingfors 5 1162 42.35% @ FC Jazz 0 1042 27.94% 29.71%