1955 Úrvalsdeild Season

15 games

Final

Champion

KR Reykjavik

9 points · 1st Title

Relegated

Throttur Reykjavik

0 pts

Biggest Overachiever

KR Reykjavik

1.98 points above expected

9 points · 7.02 expected points

Biggest Disappointment

Throttur Reykjavik

2.64 points below expected

0 points · 2.64 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 KR Reykjavik Champion 5 4 1 0 9 21 3 +18 7.02 +1.98
2 IA Akranes 5 4 0 1 8 23 7 +16 6.67 +1.33
3 Valur Reykjavik 5 2 2 1 6 13 6 +7 5.12 +0.88
4 Vikingur Reykjavik 5 2 0 3 4 9 20 -11 3.75 +0.25
5 Fram Reykjavik 5 1 1 3 3 6 11 -5 4.81 -1.81
6 Throttur Reykjavik Relegated 5 0 0 5 0 2 27 -25 2.64 -2.64

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

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
KR Reykjavik 1688 9 7.02 +1.98 92.1% 1 4 6 7 8 10 10
IA Akranes 1638 8 6.67 +1.33 85.1% 0 4 6 7 8 10 10
Valur Reykjavik 1465 6 5.12 +0.88 79.0% 0 2 4 5 6 8 10
Fram Reykjavik 1270 3 4.81 -1.81 19.5% 0 2 4 5 6 8 10
Vikingur Reykjavik 1153 4 3.75 +0.25 68.6% 0 1 2 4 5 7 10
Throttur Reykjavik 921 0 2.64 -2.64 11.1% 0 0 2 2 4 6 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 FR IA KR TR VR VR
Fram Reykjavik
0-0-1
0.52
0-0-1
0.38
1-0-0
2.33
0-1-0
1.43
0-0-1
2.22
IA Akranes
1-0-0
2.33
0-0-1
1.56
1-0-0
1.43
1-0-0
1.88
1-0-0
2.44
KR Reykjavik
1-0-0
2.49
1-0-0
1.30
1-0-0
2.71
0-1-0
2.27
1-0-0
1.43
Throttur Reykjavik
0-0-1
0.53
0-0-1
1.43
0-0-1
0.16
0-0-1
0.57
0-0-1
0.88
Valur Reykjavik
0-1-0
1.43
0-0-1
0.98
0-1-0
0.59
1-0-0
2.29
1-0-0
2.04
Vikingur Reykjavik
1-0-0
0.64
0-0-1
0.42
0-0-1
1.43
1-0-0
1.97
0-0-1
0.82

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

Slope
Scored 0.94 +3.9
Allowed 0.79 -3.2
Differential 0.95 +2.0

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
06.67%6.67%6.67%10.00%30.00%
16.67%3.33%3.33%6.67%20.00%
23.33%3.33%
36.67%3.33%3.33%13.33%
46.67%3.33%3.33%13.33%
5+10.00%6.67%3.33%20.00%
Total30.00%20.00%3.33%13.33%13.33%20.00%100%

Summary Statistics

Scored Allowed Difference
Mean 2.47 2.47 +0.00
SD 2.45 2.45 4.33
CV 0.99 0.99
Max 8 8 +8
Min 0 0 -8

Games Played: 15

↓ Scored | Allowed →012345+Total
020.00%40.00%60.00%
1
2
320.00%20.00%40.00%
4
5+
Total20.00%20.00%40.00%20.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 2.20 -1.00
SD 1.64 1.64 2.12
CV 1.37 0.75
Max 3 4 +2
Min 0 0 -3

Games Played: 5

↓ Scored | Allowed →012345+Total
0
120.00%20.00%
2
320.00%20.00%
4
5+20.00%20.00%20.00%60.00%
Total40.00%20.00%20.00%20.00%100%

Summary Statistics

Scored Allowed Difference
Mean 4.60 1.40 +3.20
SD 2.70 1.67 4.02
CV 0.59 1.20
Max 8 4 +8
Min 1 0 -3

Games Played: 5

↓ Scored | Allowed →012345+Total
0
120.00%20.00%
2
320.00%20.00%
420.00%20.00%
5+20.00%20.00%40.00%
Total40.00%60.00%100%

Summary Statistics

Scored Allowed Difference
Mean 4.20 0.60 +3.60
SD 2.39 0.55 2.61
CV 0.57 0.91
Max 7 1 +7
Min 1 0 +0

Games Played: 5

↓ Scored | Allowed →012345+Total
020.00%40.00%60.00%
120.00%20.00%40.00%
2
3
4
5+
Total20.00%20.00%60.00%100%

Summary Statistics

Scored Allowed Difference
Mean 0.40 5.40 -5.00
SD 0.55 1.95 2.24
CV 1.37 0.36
Max 1 8 -2
Min 0 3 -8

Games Played: 5

↓ Scored | Allowed →012345+Total
020.00%20.00%
120.00%20.00%
220.00%20.00%
3
420.00%20.00%
5+20.00%20.00%
Total60.00%20.00%20.00%100%

Summary Statistics

Scored Allowed Difference
Mean 2.60 1.20 +1.40
SD 2.41 2.17 3.58
CV 0.93 1.81
Max 6 5 +6
Min 0 0 -3

Games Played: 5

↓ Scored | Allowed →012345+Total
020.00%20.00%40.00%
120.00%20.00%
2
3
420.00%20.00%40.00%
5+
Total20.00%20.00%20.00%40.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 4.00 -2.20
SD 2.05 2.74 4.55
CV 1.14 0.68
Max 4 7 +4
Min 0 0 -7

Games Played: 5

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.

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 KR Reykjavik 9 7.02 +1.98
2 IA Akranes 8 6.67 +1.33
3 Valur Reykjavik 6 5.12 +0.88
4 Vikingur Reykjavik 4 3.75 +0.25
5 Fram Reykjavik 3 4.81 -1.81

Biggest Disappointments

# Team Actual Sim vsSim
1 Throttur Reykjavik 0 2.64 -2.64
2 Fram Reykjavik 3 4.81 -1.81
3 Vikingur Reykjavik 4 3.75 +0.25
4 Valur Reykjavik 6 5.12 +0.88
5 IA Akranes 8 6.67 +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 W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 KR Reykjavik 2 Jun 13 – Jun 22 1 in 6
2 Vikingur Reykjavik 1 Jun 19 – Jun 19 1 in 6
3 IA Akranes 3 Jul 28 – Aug 10 1 in 3
4 Valur Reykjavik 1 Jun 20 – Jun 20 72%
5 Fram Reykjavik 1 Jun 23 – Jun 23 73%

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Throttur Reykjavik 5 Jun 14 – Sep 11 1 in 8
2 IA Akranes 1 Jun 22 – Jun 22 1 in 3
3 Vikingur Reykjavik 1 Jun 13 – Jun 13 1 in 2
4 Fram Reykjavik 2 Aug 10 – Sep 4 57%
5 Valur Reykjavik 1 Aug 3 – Aug 3 58%

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Valur Reykjavik 3 Jun 12 – Jul 27 1 in 7
2 KR Reykjavik 5 Jun 13 – Sep 11 1 in 4
3 Vikingur Reykjavik 1 Jun 19 – Jun 19 1 in 3
4 IA Akranes 3 Jul 28 – Aug 10 57%
5 Fram Reykjavik 1 Jun 12 – Jun 12 57%

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Fram Reykjavik 2 Jun 12 – Jun 19 1 in 6
2 KR Reykjavik 1 Jul 27 – Jul 27 1 in 3
3 Throttur Reykjavik 5 Jun 14 – Sep 11 1 in 3
4 IA Akranes 1 Jun 22 – Jun 22 53%
5 Vikingur Reykjavik 1 Jun 13 – Jun 13 57%

Finish Position Heatmap

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).

Team123456
KR Reykjavik48.19%29.58%13.45%6.08%2.20%0.50%
IA Akranes36.46%32.15%16.86%9.25%4.11%1.17%
Valur Reykjavik8.64%18.83%28.62%23.23%14.27%6.41%
Vikingur Reykjavik2.03%5.75%11.19%20.25%37.83%22.95%
Fram Reykjavik4.38%12.13%25.08%31.36%19.42%7.63%
Throttur Reykjavik0.30%1.56%4.80%9.83%22.17%61.34%

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.

Points 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).

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
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
+nan%
No Edge
Scoring Tilt
Even
+nan goals
Road-Tilted
-20.00+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 4 * Open: 4 to 6 * Wide Open: 6 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 * Longshot: 4th 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
2.7
Top-Heavy
1246
Champion Preseason Odds
48%
KR Reykjavik, 1st of 6
LongshotFavorite
Title Margin
Expected
0.20/gm
Tight Race
00.290.5/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 1.4 * Some Luck: 1.4 to 2.1 * Lucky: 2.1 to 2.8 * Wild Swing: 2.8 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 0.8 * Close: 0.8 to 1.2 * Off: 1.2 to 1.6 * Way Off: 1.6 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 6 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 6 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 6 * As Expected: 6 to 9.6 * Several Outliers: 9.6 to 13.2 * Many Outliers: 13.2 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.
Luck Spread
Expected
1.67 points
Some Luck
01.754
Average Finish Error
Expected
0.33
Pinpoint
01.002
Biggest Overachiever
Expected
92.10%
KR Reykjavik
5091.67%100
Biggest Underachiever
Expected
11.09%
Throttur Reykjavik
08.33%50
Season Outliers
Expected
0 of 6
Minimal Outliers
00.66
Unexpected Relegations
Expected
0 of 1
As Expected
00.41

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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.34
Lopsided
00.120.180.260.5
Noll-Scully
Coin-flip
1.50
Moderate Separation
01.003
Interquartile Edge
91%
Wide Edge
50%60%70%80%100%
Best vs. Worst
Baseline 99%
99%
Dominant
50%100%
Close Games
20%
Few
0%30%40%50%100%
Blowouts
73%
Very Frequent
0%14%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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.43
Highly Predictable
00.492
Matchup Imbalance
0.48
Lopsided
00.10.180.280.5
Strangeness
Expected
0.98
As Expected
01.002
Repeatability
N/A
No prior ratings
00.30.60.851
Upset Rate
Expected
13%
Chalky
0%22%50%
Clear Favorite Upset Rate
Expected
9%
Solid Favorites
0%15%50%

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 Same level Direct relegation
KR Reykjavik 99.50% 0.50%
IA Akranes 98.83% 1.17%
Valur Reykjavik 93.59% 6.41%
Fram Reykjavik 92.37% 7.63%
Vikingur Reykjavik 77.05% 22.95%
Throttur Reykjavik 38.66% 61.34%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
1955-06-12 Fram Reykjavik D 0-0 1356 1356 42.9% 14.1% 42.9% +0.0 1
1955-06-12 @ Valur Reykjavik D 0-0 1356 1356 42.9% 14.1% 42.9% +0.0 1
1955-06-13 Vikingur Reykjavik W 7-0 1356 1356 42.9% 14.1% 42.9% +225.9 2
1955-06-13 @ KR Reykjavik L 0-7 1356 1356 42.9% 14.1% 42.9% -225.9 0
1955-06-14 Throttur Reykjavik W 8-0 1356 1356 42.9% 14.1% 42.9% +256.6 2
1955-06-14 @ IA Akranes L 0-8 1356 1356 42.9% 14.1% 42.9% -256.6 0
1955-06-19 Fram Reykjavik W 4-3 1130 1356 16.7% 14.1% 69.3% +51.1 2
1955-06-19 @ Vikingur Reykjavik L 3-4 1356 1130 69.3% 14.1% 16.7% -51.1 1
1955-06-20 Throttur Reykjavik W 6-0 1356 1099 71.6% 14.0% 14.3% +72.6 3
1955-06-20 @ Valur Reykjavik L 0-6 1099 1356 14.3% 14.0% 71.6% -72.5 0
1955-06-22 KR Reykjavik L 1-4 1612 1582 47.3% 14.1% 38.6% -93.6 2
1955-06-22 @ IA Akranes W 4-1 1582 1612 38.6% 14.1% 47.3% +93.6 4
1955-06-23 Fram Reykjavik L 1-3 1027 1305 12.9% 14.0% 73.1% -20.4 0
1955-06-23 @ Throttur Reykjavik W 3-1 1305 1027 73.1% 14.0% 12.9% +20.4 3
1955-07-27 Valur Reykjavik D 1-1 1675 1428 70.9% 14.0% 15.0% -11.8 5
1955-07-27 @ KR Reykjavik D 1-1 1428 1675 15.0% 14.0% 70.9% +11.8 4
1955-07-28 Vikingur Reykjavik W 6-1 1519 1181 76.6% 14.0% 9.5% +34.1 4
1955-07-28 @ IA Akranes L 1-6 1181 1519 9.5% 14.0% 76.6% -34.1 2
1955-08-03 IA Akranes L 2-5 1440 1553 28.0% 14.1% 57.9% -51.2 4
1955-08-03 @ Valur Reykjavik W 5-2 1553 1440 57.9% 14.1% 28.0% +51.2 6
1955-08-10 IA Akranes L 0-3 1325 1604 12.8% 14.0% 73.2% -34.1 3
1955-08-10 @ Fram Reykjavik W 3-0 1604 1325 73.2% 14.0% 12.8% +34.1 8
1955-08-21 Vikingur Reykjavik L 0-4 1006 1147 24.8% 14.1% 61.1% -82.1 0
1955-08-21 @ Throttur Reykjavik W 4-0 1147 1006 61.1% 14.1% 24.8% +82.1 4
1955-09-04 KR Reykjavik L 0-3 1291 1664 7.9% 13.9% 78.2% -21.4 3
1955-09-04 @ Fram Reykjavik W 3-0 1664 1291 78.2% 13.9% 7.9% +21.4 7
1955-09-10 Valur Reykjavik L 0-4 1229 1389 22.7% 14.1% 63.2% -76.0 4
1955-09-10 @ Vikingur Reykjavik W 4-0 1389 1229 63.2% 14.1% 22.7% +76.0 6
1955-09-11 Throttur Reykjavik W 6-1 1685 924 85.8% 13.2% 0.9% +3.4 9
1955-09-11 @ KR Reykjavik L 1-6 924 1685 0.9% 13.2% 85.8% -3.4 0

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 1955-06-19 16.68% @ Vikingur Reykjavik 1130 4 Fram Reykjavik 1356 3
2 1955-06-22 38.58% KR Reykjavik 1582 4 @ IA Akranes 1612 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 1955-06-14 256.57 @ IA Akranes 8 1356 42.93% Throttur Reykjavik 0 1356 42.93% 14.14%
2 1955-06-13 225.89 @ KR Reykjavik 7 1356 42.93% Vikingur Reykjavik 0 1356 42.93% 14.14%
3 1955-06-22 93.64 KR Reykjavik 4 1582 38.58% @ IA Akranes 1 1612 47.28% 14.14%
4 1955-08-21 82.09 Vikingur Reykjavik 4 1147 61.11% @ Throttur Reykjavik 0 1006 24.77% 14.11%
5 1955-09-10 75.96 Valur Reykjavik 4 1389 63.16% @ Vikingur Reykjavik 0 1229 22.74% 14.10%
6 1955-06-20 72.56 @ Valur Reykjavik 6 1356 71.62% Throttur Reykjavik 0 1099 14.34% 14.04%
7 1955-08-03 51.17 IA Akranes 5 1553 57.92% @ Valur Reykjavik 2 1440 27.96% 14.12%
8 1955-06-19 51.12 @ Vikingur Reykjavik 4 1130 16.68% Fram Reykjavik 3 1356 69.26% 14.06%
9 1955-08-10 34.14 IA Akranes 3 1604 73.16% @ Fram Reykjavik 0 1325 12.82% 14.02%
10 1955-07-28 34.08 @ IA Akranes 6 1519 76.58% Vikingur Reykjavik 1 1181 9.46% 13.96%
11 1955-09-04 21.39 KR Reykjavik 3 1664 78.21% @ Fram Reykjavik 0 1291 7.87% 13.92%
12 1955-06-23 20.44 Fram Reykjavik 3 1305 73.10% @ Throttur Reykjavik 1 1027 12.88% 14.02%
13 1955-07-27 11.76 @ KR Reykjavik 1 1675 70.91% Valur Reykjavik 1 1428 15.04% 14.04%
14 1955-09-11 3.37 @ KR Reykjavik 6 1685 85.83% Throttur Reykjavik 1 924 0.91% 13.25%
15 1955-06-12 0.00 @ Valur Reykjavik 0 1356 42.93% Fram Reykjavik 0 1356 42.93% 14.14%