1936 NFL Season

54 regular-season games · 2 playoff teams

Final

Champion

Green Bay Packers

4th Title

Runner-Up

Boston Redskins

1st Appearance

Biggest Overachiever

Green Bay Packers

2.24 wins above expected

10 wins · 8.26 expected wins

Biggest Disappointment

Philadelphia Eagles

1.54 wins below expected

1 wins · 2.54 expected wins

Final Standings

Final regular season records. The vsSim column shows actual wins minus the simulation's mean wins - positive values indicate the team overachieved, negative values mean they underperformed.

#	Team	W	L	T	Pct	GB	PF	PA	PD	SimW	vsSim
1	Boston Redskins Division	7	5	0	.583	-	149	110	+39	6.39	+0.61
2	Pittsburgh Pirates	6	6	0	.500	1	98	187	-89	5.72	+0.28
3	New York Giants	5	6	1	.458	1.5	115	163	-48	6.38	-0.88
4	Brooklyn Dodgers	3	8	1	.292	3.5	92	161	-69	4.34	-0.84
5	Philadelphia Eagles	1	11	0	.083	6	51	206	-155	2.54	-1.54

#	Team	W	L	T	Pct	GB	PF	PA	PD	SimW	vsSim
1	Green Bay Packers Division	10	1	1	.875	-	248	118	+130	8.26	+2.24
2	Chicago Bears	9	3	0	.750	1.5	222	94	+128	9.46	-0.46
3	Detroit Lions	8	4	0	.667	2.5	235	102	+133	8.06	-0.06
4	Chicago Cardinals	3	8	1	.292	7	74	143	-69	2.86	+0.64

Playoff Bracket

NFL Championship Game

Green Bay Packers 21

Boston Redskins 6

Dec 13

Season Summary

Every team's regular season finish compared against the simulated win totals. Click on any column header to sort. Luck is the team's actual total minus the simulation's mean. Positive values indicate the team outperformed the expected total; negative values indicate the team was unluckier than expected. Percentile represents where their actual result fell in the simulated distribution.

Team	Conference	Elo	Actual	Avg. Wins	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Green Bay Packers	West	2058	10.5	8.26	+2.24	96.32%	2	6	7	8	9	10	12
Detroit Lions	West	1820	8	8.06	-0.06	66.22%	2	6	7	8	9	10	12
Boston Redskins	East	1686	7	6.39	+0.61	81.52%	0	4	5	6	7	9	11
Chicago Bears	West	1671	9	9.46	-0.46	53.90%	3	7	8	9	10	11	12
Chicago Cardinals	West	1510	3.5	2.86	+0.64	74.29%	0	1	2	3	4	5	9
New York Giants	East	1392	5.5	6.38	-0.88	31.53%	1	4	5	6	7	9	12
Pittsburgh Pirates	East	1220	6	5.72	+0.28	74.93%	0	3	5	6	7	8	12
Brooklyn Dodgers	East	1210	3.5	4.34	-0.84	33.28%	0	2	3	4	5	7	10
Philadelphia Eagles	East	932	1	2.54	-1.54	23.28%	0	1	2	2	3	4	8

Head-to-Head

Cells show each team's record against each opponent with the expected wins from the simulation below Gold-tinted cells indicate the team beat the model's expectations by more than a half-win while navy-tinted cells indicate they fell short by more than a half-win. The first table covers within-division games while the second covers games against teams outside the division.

Beat expectations Fell short Within expectations

Within East

Team	Redskins	Dodgers	Giants	Eagles	Pirates
Boston Redskins	—	2-0 (1.3 exp.)	1-1 (1.2 exp.)	2-0 (1.1 exp.)	1-1 (1.3 exp.)
Brooklyn Dodgers	0-2 (0.6 exp.)	—	0-1-1 (0.4 exp.)	2-0 (1.3 exp.)	0-2 (0.8 exp.)
New York Giants	1-1 (0.7 exp.)	1-0-1 (1.5 exp.)	—	1-1 (1.6 exp.)	0-1 (0.3 exp.)
Philadelphia Eagles	0-2 (0.9 exp.)	0-2 (0.6 exp.)	1-1 (0.4 exp.)	—	0-2 (0.2 exp.)
Pittsburgh Pirates	1-1 (0.6 exp.)	2-0 (1.1 exp.)	1-0 (0.6 exp.)	2-0 (1.8 exp.)	—

East vs. Outside Teams

Team	Bears	Cardinals	Lions	Packers
Boston Redskins	0-1 (0.1 exp.)	1-0 (0.8 exp.)	-	0-2 (0.4 exp.)
Brooklyn Dodgers	-	1-0 (0.7 exp.)	0-2 (0.2 exp.)	0-1 (0.0 exp.)
New York Giants	0-1 (0.5 exp.)	1-0 (0.9 exp.)	1-1 (0.7 exp.)	0-1 (0.1 exp.)
Philadelphia Eagles	0-2 (0.1 exp.)	0-1 (0.3 exp.)	0-1 (0.0 exp.)	-
Pittsburgh Pirates	0-2 (0.3 exp.)	0-1 (0.6 exp.)	0-1 (0.3 exp.)	0-1 (0.2 exp.)

Within West

Team	Bears	Cardinals	Lions	Packers
Chicago Bears	—	1-1 (1.9 exp.)	1-1 (1.3 exp.)	1-1 (1.1 exp.)
Chicago Cardinals	1-1 (0.1 exp.)	—	0-2 (0.3 exp.)	0-2-1 (0.7 exp.)
Detroit Lions	1-1 (0.6 exp.)	2-0 (1.6 exp.)	—	0-2 (1.0 exp.)
Green Bay Packers	1-1 (0.8 exp.)	2-0-1 (2.2 exp.)	2-0 (0.9 exp.)	—

West vs. Outside Teams

Team	Redskins	Dodgers	Giants	Eagles	Pirates
Chicago Bears	1-0 (0.9 exp.)	-	1-0 (0.5 exp.)	2-0 (1.9 exp.)	2-0 (1.6 exp.)
Chicago Cardinals	0-1 (0.2 exp.)	0-1 (0.2 exp.)	0-1 (0.1 exp.)	1-0 (0.7 exp.)	1-0 (0.3 exp.)
Detroit Lions	-	2-0 (1.8 exp.)	1-1 (1.2 exp.)	1-0 (0.9 exp.)	1-0 (0.7 exp.)
Green Bay Packers	2-0 (1.5 exp.)	1-0 (0.9 exp.)	1-0 (0.9 exp.)	-	1-0 (0.8 exp.)

Scoreline Distribution

Cells represent the percentage of games that ended with a team's points in the row and its opponent's points in the column. Cells below the diagonal are wins (gold), and cells above are losses (blue). Totals along the edges show the marginal percentages for that row or column.

Win Loss Same range

View:

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	3.70%	6.48%	8.33%	3.70%	4.63%	1.85%	—	28.70%
7–13	6.48%	16.67%	4.63%	3.70%	0.93%	0.93%	0.93%	34.26%
14–20	8.33%	4.63%	1.85%	2.78%	—	—	—	17.59%
21–27	3.70%	3.70%	2.78%	—	—	—	—	10.19%
28–34	4.63%	0.93%	—	—	—	—	—	5.56%
35–41	1.85%	0.93%	—	—	—	—	—	2.78%
42+	—	0.93%	—	—	—	—	—	0.93%
Total	28.70%	34.26%	17.59%	10.19%	5.56%	2.78%	0.93%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	11.89	11.89	+0.00
SD	10.07	10.07	16.89
CV	0.85	0.85	—
Max	42	42	+39
Min	0	0	-39

Games Played: 54

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	—	25.00%	—	8.33%	8.33%	—	—	41.67%
7–13	—	8.33%	—	—	—	—	—	8.33%
14–20	16.67%	8.33%	—	—	—	—	—	25.00%
21–27	8.33%	—	—	—	—	—	—	8.33%
28–34	16.67%	—	—	—	—	—	—	16.67%
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	41.67%	41.67%	—	8.33%	8.33%	—	—	100%

Boston Redskins — Summary Statistics

	Scored	Allowed	Difference
Mean	12.42	9.17	+3.25
SD	11.63	9.68	19.04
CV	0.94	1.06	—
Max	30	31	+30
Min	0	0	-29

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	—	8.33%	25.00%	—	8.33%	—	—	41.67%
7–13	8.33%	25.00%	8.33%	—	—	8.33%	—	50.00%
14–20	8.33%	—	—	—	—	—	—	8.33%
21–27	—	—	—	—	—	—	—	—
28–34	—	—	—	—	—	—	—	—
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	16.67%	33.33%	33.33%	—	8.33%	8.33%	—	100%

Brooklyn Dodgers — Summary Statistics

	Scored	Allowed	Difference
Mean	7.67	13.42	-5.75
SD	4.60	10.94	13.61
CV	0.60	0.82	—
Max	18	38	+18
Min	0	0	-31

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	—	—	—	—	—	—	—	—
7–13	8.33%	16.67%	8.33%	8.33%	—	—	—	41.67%
14–20	8.33%	—	—	—	—	—	—	8.33%
21–27	8.33%	25.00%	—	—	—	—	—	33.33%
28–34	8.33%	8.33%	—	—	—	—	—	16.67%
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	33.33%	50.00%	8.33%	8.33%	—	—	—	100%

Chicago Bears — Summary Statistics

	Scored	Allowed	Difference
Mean	18.50	7.83	+10.67
SD	9.36	6.15	13.50
CV	0.51	0.78	—
Max	30	21	+27
Min	7	0	-11

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	8.33%	16.67%	8.33%	8.33%	—	8.33%	—	50.00%
7–13	8.33%	16.67%	8.33%	—	—	—	—	33.33%
14–20	8.33%	8.33%	—	—	—	—	—	16.67%
21–27	—	—	—	—	—	—	—	—
28–34	—	—	—	—	—	—	—	—
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	25.00%	41.67%	16.67%	8.33%	—	8.33%	—	100%

Chicago Cardinals — Summary Statistics

	Scored	Allowed	Difference
Mean	6.17	11.92	-5.75
SD	5.62	10.74	14.18
CV	0.91	0.90	—
Max	14	39	+13
Min	0	0	-39

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	—	—	—	—	—	—	—	—
7–13	—	16.67%	8.33%	—	—	—	—	25.00%
14–20	8.33%	16.67%	8.33%	8.33%	—	—	—	41.67%
21–27	8.33%	—	—	—	—	—	—	8.33%
28–34	8.33%	—	—	—	—	—	—	8.33%
35–41	16.67%	—	—	—	—	—	—	16.67%
42+	—	—	—	—	—	—	—	—
Total	41.67%	33.33%	16.67%	8.33%	—	—	—	100%

Detroit Lions — Summary Statistics

	Scored	Allowed	Difference
Mean	19.58	8.50	+11.08
SD	10.42	8.21	16.46
CV	0.53	0.97	—
Max	39	26	+39
Min	7	0	-9

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	8.33%	—	—	—	8.33%	—	—	16.67%
7–13	8.33%	8.33%	—	—	—	—	—	16.67%
14–20	—	—	8.33%	—	—	—	—	8.33%
21–27	8.33%	8.33%	16.67%	—	—	—	—	33.33%
28–34	8.33%	—	—	—	—	—	—	8.33%
35–41	—	8.33%	—	—	—	—	—	8.33%
42+	—	8.33%	—	—	—	—	—	8.33%
Total	33.33%	33.33%	25.00%	—	8.33%	—	—	100%

Green Bay Packers — Summary Statistics

	Scored	Allowed	Difference
Mean	20.67	9.83	+10.83
SD	13.38	8.84	16.78
CV	0.65	0.90	—
Max	42	30	+32
Min	0	0	-27

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	—	—	8.33%	—	—	8.33%	—	16.67%
7–13	8.33%	25.00%	—	8.33%	—	—	—	41.67%
14–20	16.67%	8.33%	—	8.33%	—	—	—	33.33%
21–27	—	—	8.33%	—	—	—	—	8.33%
28–34	—	—	—	—	—	—	—	—
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	25.00%	33.33%	16.67%	16.67%	—	8.33%	—	100%

New York Giants — Summary Statistics

	Scored	Allowed	Difference
Mean	9.58	13.58	-4.00
SD	6.17	11.29	14.49
CV	0.64	0.83	—
Max	21	38	+14
Min	0	0	-38

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	8.33%	8.33%	25.00%	16.67%	—	—	—	58.33%
7–13	—	16.67%	8.33%	—	8.33%	—	—	33.33%
14–20	—	—	—	8.33%	—	—	—	8.33%
21–27	—	—	—	—	—	—	—	—
28–34	—	—	—	—	—	—	—	—
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	8.33%	25.00%	33.33%	25.00%	8.33%	—	—	100%

Philadelphia Eagles — Summary Statistics

	Scored	Allowed	Difference
Mean	4.25	17.17	-12.92
SD	5.46	6.79	8.34
CV	1.29	0.40	—
Max	17	28	+3
Min	0	6	-23

Games Played: 12

↓ Scored \| Allowed →	0–6	7–13	14–20	21–27	28–34	35–41	42+	Total
0–6	8.33%	—	8.33%	—	16.67%	—	—	33.33%
7–13	16.67%	16.67%	—	16.67%	—	—	8.33%	58.33%
14–20	8.33%	—	—	—	—	—	—	8.33%
21–27	—	—	—	—	—	—	—	—
28–34	—	—	—	—	—	—	—	—
35–41	—	—	—	—	—	—	—	—
42+	—	—	—	—	—	—	—	—
Total	33.33%	16.67%	8.33%	16.67%	16.67%	—	8.33%	100%

Pittsburgh Pirates — Summary Statistics

	Scored	Allowed	Difference
Mean	8.17	15.58	-7.42
SD	4.26	14.36	16.78
CV	0.52	0.92	—
Max	17	42	+17
Min	0	0	-32

Games Played: 12

Wins vs. Points Scored, Allowed, and Differential

Wins plotted against points 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 wins per 10 points).

Fit Metrics

	R²	Slope
Scored	0.88	+0.4
Allowed	0.62	-0.6
Differential	0.84	+0.3

Home-Field Advantage Edge

A measure of how well each team has taken advantage of home-field advantage during the season. For each team, sum the win probabilities for home games and compare against the team's actual performance at home. Repeat for games on the road. Positive values indicate the team has played comparatively better at home than on the road. Negative values indicate the team is not utilizing home field advantage.

Top Overachievers & Disappointments

The teams that deviated the most from the simulated results.

Top Overachievers

#	Team	Actual	Sim	Luck
1	Green Bay Packers	10.5	8.26	+2.24
2	Chicago Cardinals	3.5	2.86	+0.64
3	Boston Redskins	7	6.39	+0.61
4	Pittsburgh Pirates	6	5.72	+0.28
5	Detroit Lions	8	8.06	-0.06

Biggest Disappointments

#	Team	Actual	Sim	Luck
1	Philadelphia Eagles	1	2.54	-1.54
2	New York Giants	5.5	6.38	-0.88
3	Brooklyn Dodgers	3.5	4.34	-0.84
4	Chicago Bears	9	9.46	-0.46
5	Detroit Lions	8	8.06	-0.06

Top Streaks

The most unlikely streaks achieved by teams throughout the season according to the model's probabilities. Calculated by using the pregame win/tie/loss probabilities for all the games in each team's streak.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Green Bay Packers	9	Oct 4 – Nov 29	1 in 89
2	Pittsburgh Pirates	3	Sep 13 – Sep 27	1 in 7
3	Detroit Lions	4	Nov 8 – Nov 26	1 in 6
4	Chicago Bears	6	Sep 20 – Oct 25	1 in 6
5	Chicago Cardinals	2	Nov 8 – Nov 15	1 in 5

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Chicago Bears	2	Nov 26 – Nov 29	1 in 35
2	Philadelphia Eagles	11	Sep 20 – Nov 29	1 in 26
3	Boston Redskins	2	Oct 4 – Oct 11	1 in 8
4	Chicago Cardinals	7	Sep 13 – Nov 1	1 in 8
5	Detroit Lions	3	Oct 18 – Nov 1	1 in 7

Finish Position Heatmaps

Cells represent the percentage of the time a team finished in a given position in the simulation.

Team	1	2	3	4	5
New York Giants	38.81%	30.39%	21.04%	8.52%	1.23%
Boston Redskins	35.24%	30.45%	22.54%	10.11%	1.66%
Pittsburgh Pirates	20.90%	27.02%	30.58%	18.29%	3.21%
Brooklyn Dodgers	4.86%	11.17%	21.94%	45.13%	16.90%
Philadelphia Eagles	0.18%	0.97%	3.89%	17.95%	77.01%

Team	1	2	3	4
Chicago Bears	60.35%	27.21%	12.40%	0.04%
Green Bay Packers	19.90%	37.09%	42.44%	0.56%
Detroit Lions	19.75%	35.62%	44.00%	0.64%
Chicago Cardinals	<0.01%	0.08%	1.16%	98.76%

Team	1	2	3	4	5	6	7	8	9
Chicago Bears	57.89%	22.83%	11.57%	4.98%	2.19%	0.50%	0.04%	<0.01%	-
Green Bay Packers	18.98%	27.34%	24.62%	15.04%	10.57%	2.80%	0.54%	0.11%	<0.01%
Detroit Lions	18.47%	25.55%	22.46%	16.04%	11.88%	4.64%	0.79%	0.15%	<0.01%
New York Giants	2.27%	9.72%	15.55%	21.38%	21.80%	18.73%	7.94%	2.02%	0.58%
Boston Redskins	1.40%	9.04%	14.94%	21.55%	21.33%	19.33%	9.02%	2.66%	0.73%
Pittsburgh Pirates	0.95%	4.83%	8.81%	15.34%	20.47%	26.83%	15.44%	5.61%	1.71%
Brooklyn Dodgers	0.04%	0.66%	1.93%	5.04%	9.56%	19.86%	35.08%	17.09%	10.75%
Chicago Cardinals	-	0.02%	0.10%	0.36%	1.26%	3.82%	19.05%	45.85%	29.54%
Philadelphia Eagles	-	<0.01%	0.04%	0.26%	0.94%	3.49%	12.10%	26.49%	56.68%

Win Totals in Context

How each team's actual results compared to their simulated results, Elo rating, average opponent Elo, and percentile within simulated outcomes? Click a division name in the legend to toggle it on or off.

Playoff Seed Probabilities

Cells represent the percentage of the time a team earned a given playoff seed in the simulation. Teams are sorted by likelihood of earning the top seed. Teams that missed the playoffs more often sit toward the bottom.

Team	1 Seed	Missed Playoffs
New York Giants	38.81%	61.19%
Boston Redskins	35.24%	64.76%
Pittsburgh Pirates	20.90%	79.10%
Brooklyn Dodgers	4.86%	95.14%
Philadelphia Eagles	0.18%	99.82%

Team	1 Seed	Missed Playoffs
Chicago Bears	60.35%	39.65%
Green Bay Packers	19.90%	80.10%
Detroit Lions	19.75%	80.25%
Chicago Cardinals	<0.01%	100.00%

Wins Required to Clinch Each Seed

The empirical cumulative distribution that shows the probability that a team earning that seed finished the regular season with at most a given number of wins. The point where each line passes through 50% is roughly the median wins for that seed.

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: Percentage of games won by the home team - percentage of games won by the away team
No Edge: under 2% · Slight Edge: 2% to 6% · Clear Edge: 6% to 10% · Fortress: 10% and up.
Elo Value: Number of Elo rating points that 1 point is worth. A team this many Elo ratings points better than another would be expected to defeat their opponent by 1 point at a neutral location.
Scoring Tilt: Average home points - average away points per game. The gold line represents the expected home points edge according to the scoring value of a point of Elo and the number of Elo rating points home advantage is worth.
Road-Tilted: under -3.2 · Lean Road: -3.2 to 0 · Lean Home: 0 to 3.2 · Home-Tilted: 3.2 and up.

Home Edge

HomeTieAway

+14.81%

Fortress

55.56%3.70%40.74%

Elo Value

Home Edge

37 Elo

0.027 points per Elo point

051.85100

Scoring Tilt

Expected

+1.70 points

Lean Home

-8+1.41+8

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 preseason title contenders. Calculated by taking 1 divided by the sum of squared preseason title odds. Higher numbers indicate more parity in the league while 1 indicates that the preseason favorite is a near-lock.
Front-Runner: under 2 · Few Contenders: 2 to 4 · Open Race: 4 to 8 · Wide Open: 8 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would win the title based on the simulated results. Location of the dot marks their rank across all teams, ranging from longshot to favorite.
Preseason Favorite: 1st · Among the Favorites: 2nd · Middle of the Pack: 3rd to 5th · Longshot: 6th or lower.
Title Run Odds: Given that actual playoff bracket, the probability that the champion would win the exact series/games they faced in reality. The gold line represents their odds of winning if every series/game was a toss-up.
Long Shot: under 25% · Tough Road: 25% to 50% · Favored: 50% to 100% · Heavy Favorite: 100% and up.

Title-Race Openness

3.8

Few Contenders

12489

Champion Preseason Odds

19%

Green Bay Packers, 2nd of 9

LongshotFavorite

Title Run Odds

Coin-flip

86.3%

Favored

050.00%150%

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: Average standard deviation of the difference between each team's actual wins total and their simulated average wins total. The gold line is the standard deviation the model expected from random chance alone.
Subdued: under 1.11 · As Expected: 1.11 to 1.53 · Elevated: 1.53 to 2.08 · High Variance: 2.08 and up.
Average Finish Error: Average gap in the rank of the final standings between where each team finished in the standings and where the model projected them to finish.
Pinpoint: under 0.85 · Close: 0.85 to 1.14 · Off Target: 1.14 to 1.49 · Well Off Target: 1.49 and up.
Biggest Overachiever: The team whose record finished in the highest percentile within its own simulated range of outcomes. The gold line indicates where the top team in a league of 9 teams typically lands.
Biggest Underachiever: The team whose record finished in the lowest percentile within its own simulated range of outcomes. The gold line indicates where the bottom team in a league of 9 teams typically lands.
Season Outliers: Number of teams that finished either above the 95th percentile or below the 5th percentile. Even with a well-calibrated model, 10% of teams are expected to land in the extremes of their distributions.
Minimal Outliers: under 0.45 · As Expected: 0.45 to 1.08 · Several Outliers: 1.08 to 1.98 · Many Outliers: 1.98 and up.
Unexpected Playoff Teams: Number of teams that actually made the playoffs but were not in the model's projected field.The gold line represents how many playoff teams the simulation missed on average.
Fewer Than Expected: under 0.76 · As Expected: 0.76 to 1.26 · More Than Expected: 1.26 to 2.02 · Far More Than Expected: 2.02 and up.

Luck Spread

Expected

1.06 wins

Subdued

01.393

Average Finish Error

Expected

0.56

Pinpoint

01.002

Biggest Overachiever

Expected 94.44%

96.32%

Green Bay Packers

50100

Biggest Underachiever

Expected

23.28%

Philadelphia Eagles

05.56%50

Season Outliers

Expected

1 of 9

As Expected

00.99

Unexpected Playoff Teams

Expected

2 of 2

More Than Expected

01.02

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: Measures how evenly wins were distributed across the league. Lower scores indicate there was less variability across the actual wins totals .Higher scores are an indication of more imbalance in the league with a few unusually strong or unusually weak teams.
Highly Balanced: under 0.08 · Balanced: 0.08 to 0.15 · Top-Heavy: 0.15 to 0.24 · Concentrated: 0.24 and up.
Noll-Scully: Measures how more times spread out the final standings were in reality compared to standings that were generated by flipping a coin for each game. The gold line at 1 indicates as much variability in the standings as s coin flip. Above it, talent gaps in team composition stretched the standings more than the variability produced by luck alone. Below it, the league was more competitive than coin flips alone would yield.
Compressed: under 0.9 · Coin-Flip Spread: 0.9 to 1.15 · Moderate Separation: 1.15 to 1.45 · Stratified: 1.45 and up.
Interquartile Edge: The probability that the team in the 75th percentile of the league's Elo ratings would defeat the team in the 25th percentile at a neutral site. The higher the probability, the larger the gap between the top teams and bottom teams in the league.
Even: under 58% · Competitive: 58% to 65% · Tilted: 65% to 73% · Lopsided: 73% and up.
Best vs. Worst: The probability that the team with the highest Elo rating would defeat the team with the lowest Elo rating at a neutral site.The higher the probability, the larger the gap between the top teams and bottom teams in the league. The gold line represents how high this probability is expected to be in a league of this size. A blue dot to the right indicates an unusually dominant team or an unusually weak team.
Tight: under 65% · Clear Edge: 65% to 78% · Lopsided: 78% to 88% · No Contest: 88% and up.
Close Games: Actual percentage of games decided by 3 run/points or fewer. The gold line indicates the proportion of close games you would expect after considering the Elo ratings of the involved teams and the scoring value of a single Elo point.
Mostly Decisive: under 25% · Some Drama: 25% to 38% · Often Close: 38% to 50% · Nail-Biters: 50% and up.
Blowouts: Actual percentage of games decided by 17 runs/points or more. The gold line indicates the proportion of blowouts you would expect after considering the Elo ratings of the involved teams and the scoring value of a single Elo point.
Rare: under 10% · Occasional: 10% to 20% · Frequent: 20% to 30% · Routine: 30% and up.

Gini Index

0.27

Concentrated

00.080.150.240.5

Noll-Scully

Coin-flip

1.39

Moderate Separation

01.003

Interquartile Edge

94%

Lopsided

50%58%65%73%100%

Best vs. Worst

Baseline 100%

100%

No Contest

50%100%

Close Games

Expected

17%

Mostly Decisive

0%16%100%

Blowouts

Expected

37%

Routine

0%33%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 win probabilities aligned with the actual game result, averaged over the entire season. Picks that were both confident and correct are rewarded the most, while incorrect predictions and/or uncertain predictions are penalized more. Lower scores are better. 0 indicates every game was perfectly predicted with maximum confidence. For sports with where wins and losses are the only outcomes, Brier scores less than 0.25 indicate the model did better than random predictions. For sports where ties are possible, 0.67 is the cutoff for which the Brier score must be lower to beat random predictions. The lower the Brier score, the easier and more accurately the games were to predict.
Highly Predictable: under 0.18 · Predictable: 0.18 to 0.22 · Hard to Predict: 0.22 to 0.25 · Coin-Flip: 0.25 and up.
Matchup Imbalance: How lopsided the matchups were on paper, calculated by averaging the difference in the win probabilities divided by the sum of the win probabilities. Lower scores indicate more parity in the league. 0 indicates that every game was a 50-50 toss-up between evenly matched teams. 1 means every game pitted a heavy favorite against a huge underdog.
Evenly Matched: under 0.12 · Slight Separation: 0.12 to 0.22 · Wide Gaps: 0.22 to 0.34 · Lopsided: 0.34 and up.
Strangeness: How extreme the actual final standings were compared to what the model expected. A value of 0 would indicate that the simulated results perfectly matched the actual standings. A score of 1 indicates that the actual results were scattered around the projections by exactly the variance the model predicted. (i.e. The projections missed the actual standings by 1 standard deviation on average. Scores larger than 1 mean the season was wilder to forecast with more overperforming and underperforming teams than expected. Scores less than 1 indicate the season was more predictable.
Tighter Than Modeled: under 0.85 · As Expected: 0.85 to 1.15 · Volatile: 1.15 to 1.5 · Chaotic: 1.5 and up.
Repeatability: How closely the order of the final standings aligned with the ranked preseason Elo ratings as calculated by the Spearman rank correlation. Larger values indicate that the preseason Elo ratings were a strong predictor of the team's final rank in the standings while values near 0 mean.
Reshuffled: under 0.3 · Weak Alignment: 0.3 to 0.6 · Strong Alignment: 0.6 to 0.85 · Closely Aligned: 0.85 and up.
Upset Rate: The percentage of the time the underdog won the game in reality. The gold line measures how often the model expected the underdog to win when considering the outcome probabilities. A blue dot to the right of the gold line means upsets were more prevalent than left. A dot to the left indicates that favorites won more often than expected.
Chalk Held: under 30% · As Expected: 30% to 40% · Upset-Prone: 40% to 46% · Bedlam: 46% and up.
Clear Favorite Upset Rate: The percentage of the time the underdog won the game in reality, but only including games with a clear favorite, one at least 60% likely to win once a draw is set aside. This metrics ignores games that could be considered toss-ups. The gold line is how often the model expected these heavy favorites to lose. A dot to the right means the big favorites were upset more than expected; to the left means they took care of business.
Favorites Held: under 22% · As Expected: 22% to 32% · Shaky Favorites: 32% to 42% · Bedlam: 42% and up.

Brier Score

Expected

0.15

Highly Predictable

00.161

Matchup Imbalance

0.53

Lopsided

00.120.220.340.5

Strangeness

Expected

0.62

Tighter Than Modeled

01.002

Repeatability

0.59

Weak Alignment

00.30.60.851

Upset Rate

Expected

22%

Chalk Held

0%23%50%

Clear Favorite Upset Rate

Expected

13%

Favorites Held

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. Games are sorted into bins according to how confident the model was. Within each bin, the predicted number of wins, losses, and ties are compared against the actual counts. The p-value of this test is plotted below. Values above 0.05 indicate that the model's probabilities are well-calibrated for the season.
Clear Misfit: under 0.01 · Misfit: 0.01 to 0.05 · Borderline: 0.05 to 0.1 · Well Calibrated: 0.1 and up.
Calibration slope: Checks whether the spread of the model's probabilities is correct. Each probability is turned into their log-odds. A line is fit that predicts the actual results from the log-odds. The slope of this line is the calibration slope.A slope of 1.00 is perfect, indicating that the model's confidence matches the actual outcomes of the games. Slopes less than 1.00 indicate overconfidence. The model assigned higher probabilities to the favorites than was appropriate given the matchup, causing more losses by favored teams. Slopes greater than 1.00 indicate under-confidence. The model is more uncertain about too many results, assigning them lower probabilities when in reality the favorites should have had higher probabilities.
Overconfident: under 0.85 · Calibrated: 0.85 to 1.15 · Underconfident: 1.15 and up.
Calibration error (ECE): Calibration error (ECE) checks whether the model's probabilities mean what they say. ECE is calculated as the average weighted gap between the model's stated chances and how often the predicted outcome actually occurred. The smaller the ECE, the more confident we are about the model's probabilities. The gold line represents the noise ceiling, which is the amount of error that luck can produce on its own even if the probabilities are perfectly calibrated. Values below the noise ceiling indicate that the model's error is no larger than chance alone would produce. Values above the noice ceiling point to a genuine calibration issue since the error is larger than luck could explain.
Well Within Noise: under 0.1 · Within Noise: 0.1 to 0.19 · Above Noise: 0.19 to 0.38 · Well Above Noise: 0.38 and up.

Probability calibration

0.43

Well Calibrated

0.010.050.11

Calibration slope

Ideal

1.06

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.178

Within Noise

00.1910.5

Season Trends

How each metric evolved across the season - Elo rating, actual wins, simulated final wins, playoff probability, and division-title probability - day by day. Select a division to see all five charts for its teams.

Elo Through the Playoffs

How each playoff team's Elo rating evolved as the postseason unfolded. Elo Progression traces each team's game-by-game Elo rating through their playoff run. Net Elo Change summarizes the difference in Elo rating between the beginning and end of the playoffs for each team.

Stochastic Playoff Outcomes

How we would have expected the postseason to play out at the beginning of the season according to the simulation. The table summarizes each team's chances of advancing to each round. Individual matchup heat maps for each round are displayed using the subsequent buttons. The top percentage in each cell represents each team's winning percentage against the corresponding opponent. The bottom percentage represents how often that specific matchup occurred during that round in the simulation.

Team	Made Playoffs	Won Super Bowl
Chicago Bears	60.35%	41.05%
Green Bay Packers	19.90%	18.81%
Boston Redskins	35.24%	16.72%
Detroit Lions	19.75%	15.76%
New York Giants	38.81%	5.99%
Pittsburgh Pirates	20.90%	1.33%
Brooklyn Dodgers	4.86%	0.33%
Philadelphia Eagles	0.18%	<0.01%
Chicago Cardinals	<0.01%	<0.01%

Loser → ↓ Winner	Chicago Bears	Chicago Cardinals	Detroit Lions	Green Bay Packers	Boston Redskins	Brooklyn Dodgers	New York Giants	Philadelphia Eagles	Pittsburgh Pirates
Boston Redskins	59.2%21.74%		38.9%7.86%	14.2%5.64%
Brooklyn Dodgers	9.4%3.14%		3.1%0.81%	1.4%0.91%
New York Giants	21.5%23.49%	0.0%<0.01%	10.9%6.54%	2.6%8.79%
Philadelphia Eagles	1.9%0.10%		0.0%0.04%	0.0%0.04%
Pittsburgh Pirates	9.2%11.88%		4.3%4.49%	1.1%4.53%
Chicago Bears					40.8%21.74%	90.6%3.14%	78.5%23.49%	98.1%0.10%	90.8%11.88%
Chicago Cardinals							100.0%<0.01%
Detroit Lions					61.1%7.86%	96.9%0.81%	89.1%6.54%	100.0%0.04%	95.7%4.49%
Green Bay Packers					85.8%5.64%	98.6%0.91%	97.4%8.79%	100.0%0.04%	98.9%4.53%

Actual Bracket Simulation

Team	Won Super Bowl
Green Bay Packers	86.29%
Boston Redskins	13.71%

Loser → ↓ Winner	Green Bay Packers	Boston Redskins
Boston Redskins	13.7%100.00%
Green Bay Packers		86.3%100.00%

Most-Likely Championship Paths

For each playoff team, what was the most likely path they had to the championship across all simulations? Tiles represent the opponent they faced and defeated the most often in each round.

Green Bay Packers 86.29% chance to win

Super Bowl

vs. Boston Redskins

Matchup

100.00%

Win Prob

86.29%

Boston Redskins 13.71% chance to win

Super Bowl

vs. Green Bay Packers

Matchup

100.00%

Win Prob

13.71%

Regular Season Games

Summary of every regular-season game played this season.

Filter by Team:

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Loss %	Elo Δ	Record
1936-09-13	@ Pittsburgh Pirates	L 0-10	1444.68	1369.81	51.14%	44.54%	-109.27	0-1
1936-09-20	@ Philadelphia Eagles	W 26-3	1335.41	1476.90	23.49%	73.17%	+233.98	1-1
1936-09-27	@ Brooklyn Dodgers	W 14-3	1569.39	1349.53	70.32%	26.13%	+59.22	2-1
1936-10-04	New York Giants	L 0-7	1628.61	1454.62	76.56%	20.39%	-134.77	2-2
1936-10-11	@ Green Bay Packers	L 2-31	1493.84	1530.66	35.59%	60.31%	-130.93	2-3
1936-10-18	Philadelphia Eagles	W 17-7	1362.91	1101.05	84.16%	13.56%	+28.93	3-3
1936-11-01	Chicago Cardinals	W 13-10	1391.84	1185.05	79.66%	17.58%	+20.67	4-3
1936-11-08	Green Bay Packers	L 3-7	1412.51	1943.15	5.85%	93.02%	-7.75	4-4
1936-11-15	Chicago Bears	L 0-26	1404.76	1895.60	7.21%	91.43%	-24.45	4-5
1936-11-22	Brooklyn Dodgers	W 30-6	1380.31	1355.87	58.63%	37.21%	+124.46	5-5
1936-11-29	Pittsburgh Pirates	W 30-0	1504.77	1280.37	81.20%	16.20%	+60.13	6-5
1936-12-06	@ New York Giants	W 14-0	1564.90	1513.92	47.71%	47.96%	+121.57	7-5
1936-09-23	Pittsburgh Pirates	L 6-10	1411.39	1479.08	45.56%	50.11%	-61.86	0-1
1936-09-27	Boston Redskins	L 3-14	1349.53	1569.39	26.13%	70.32%	-59.22	0-2
1936-10-04	Philadelphia Eagles	W 18-0	1290.31	1228.69	63.60%	32.45%	+94.13	1-2
1936-10-11	@ New York Giants	T 10-10	1384.44	1589.39	17.73%	79.50%	+10.18	1-2
1936-10-14	Detroit Lions	L 7-14	1394.62	1733.68	15.39%	82.11%	-27.55	1-3
1936-10-25	Chicago Cardinals	W 9-0	1367.07	1235.17	72.11%	24.46%	+50.12	2-3
1936-11-01	@ Pittsburgh Pirates	L 7-10	1417.19	1437.07	37.82%	58.00%	-44.71	2-4
1936-11-15	Green Bay Packers	L 7-38	1372.48	1950.89	4.52%	94.58%	-16.61	2-5
1936-11-22	@ Boston Redskins	L 6-30	1355.87	1380.31	37.21%	58.63%	-124.46	2-6
1936-11-26	New York Giants	L 0-14	1231.41	1445.50	26.75%	69.65%	-68.43	2-7
1936-11-29	@ Philadelphia Eagles	W 13-7	1162.98	983.37	65.43%	30.71%	+51.44	3-7
1936-12-06	@ Detroit Lions	L 6-14	1214.42	1815.89	2.25%	97.27%	-4.16	3-8
1936-09-20	@ Green Bay Packers	W 30-3	1594.83	1608.70	38.62%	57.17%	+199.89	1-0
1936-09-27	@ Philadelphia Eagles	W 17-0	1794.72	1242.92	93.76%	5.22%	+14.23	2-0
1936-10-04	@ Pittsburgh Pirates	W 27-9	1808.95	1581.75	71.17%	25.34%	+73.45	3-0
1936-10-11	Chicago Cardinals	W 7-3	1882.40	1256.51	97.61%	1.96%	+2.57	4-0
1936-10-18	Pittsburgh Pirates	W 26-7	1884.97	1528.03	90.02%	8.44%	+24.53	5-0
1936-10-25	Detroit Lions	W 12-10	1909.50	1709.13	79.08%	18.11%	+17.39	6-0
1936-11-01	Green Bay Packers	L 10-21	1926.89	1780.13	73.74%	22.96%	-163.02	6-1
1936-11-08	@ New York Giants	W 25-7	1763.87	1697.42	49.93%	45.74%	+131.73	7-1
1936-11-15	@ Boston Redskins	W 26-0	1895.60	1404.76	91.43%	7.21%	+24.45	8-1
1936-11-22	@ Philadelphia Eagles	W 28-7	1920.05	985.20	99.24%	0.61%	+1.84	9-1
1936-11-26	@ Detroit Lions	L 7-13	1921.89	1814.18	55.80%	39.96%	-92.05	9-2
1936-11-29	@ Chicago Cardinals	L 7-14	1829.84	1335.76	91.57%	7.09%	-159.02	9-3
1936-09-13	@ Green Bay Packers	L 7-10	1519.36	1568.43	34.02%	61.95%	-40.27	0-1
1936-09-28	@ Detroit Lions	L 0-39	1479.09	1619.18	23.63%	73.02%	-100.73	0-2
1936-10-04	@ Green Bay Packers	L 0-24	1378.36	1408.81	36.42%	59.45%	-121.85	0-3
1936-10-11	@ Chicago Bears	L 3-7	1256.51	1882.40	1.96%	97.61%	-2.57	0-4
1936-10-18	@ New York Giants	L 6-14	1253.94	1579.20	9.91%	88.32%	-18.77	0-5
1936-10-25	@ Brooklyn Dodgers	L 0-9	1235.17	1367.07	24.46%	72.11%	-50.12	0-6
1936-11-01	@ Boston Redskins	L 10-13	1185.05	1391.84	17.58%	79.66%	-20.67	0-7
1936-11-08	Philadelphia Eagles	W 13-0	1164.38	1050.07	70.10%	26.33%	+64.87	1-7
1936-11-15	Pittsburgh Pirates	W 14-6	1229.25	1402.93	31.43%	64.68%	+122.56	2-7
1936-11-22	Detroit Lions	L 7-14	1351.81	1798.13	9.08%	89.28%	-16.05	2-8
1936-11-29	Chicago Bears	W 14-7	1335.76	1829.84	7.09%	91.57%	+159.03	3-8
1936-12-06	Green Bay Packers	T 0-0	1494.79	2073.09	4.53%	94.57%	+14.71	3-8
1936-09-28	Chicago Cardinals	W 39-0	1619.18	1479.09	73.02%	23.63%	+100.72	1-0
1936-10-11	@ Philadelphia Eagles	W 23-0	1719.90	1134.56	94.77%	4.36%	+13.78	2-0
1936-10-14	@ Brooklyn Dodgers	W 14-7	1733.68	1394.62	82.11%	15.39%	+27.55	3-0
1936-10-18	@ Green Bay Packers	L 18-20	1761.23	1661.59	54.66%	41.07%	-52.10	3-1
1936-10-25	@ Chicago Bears	L 10-12	1709.13	1909.50	18.11%	79.08%	-17.39	3-2
1936-11-01	@ New York Giants	L 7-14	1691.74	1602.47	53.19%	42.51%	-94.95	3-3
1936-11-08	Pittsburgh Pirates	W 28-3	1596.79	1499.32	68.10%	28.20%	+96.40	4-3
1936-11-15	New York Giants	W 38-0	1693.19	1565.69	71.62%	24.92%	+104.94	5-3
1936-11-22	@ Chicago Cardinals	W 14-7	1798.13	1351.81	89.28%	9.08%	+16.05	6-3
1936-11-26	Chicago Bears	W 13-7	1814.18	1921.89	39.96%	55.80%	+92.04	7-3
1936-11-29	Green Bay Packers	L 17-26	1906.22	1982.76	44.30%	51.38%	-90.33	7-4
1936-12-06	Brooklyn Dodgers	W 14-6	1815.89	1214.42	97.27%	2.25%	+4.17	8-4
1936-09-13	Chicago Cardinals	W 10-7	1568.43	1519.36	61.95%	34.02%	+40.27	1-0
1936-09-20	Chicago Bears	L 3-30	1608.70	1594.83	57.17%	38.62%	-199.89	1-1
1936-10-04	Chicago Cardinals	W 24-0	1408.81	1378.36	59.45%	36.42%	+121.85	2-1
1936-10-11	Boston Redskins	W 31-2	1530.66	1493.84	60.31%	35.59%	+130.93	3-1
1936-10-18	Detroit Lions	W 20-18	1661.59	1761.23	41.07%	54.66%	+52.10	4-1
1936-10-25	Pittsburgh Pirates	W 42-10	1713.69	1503.50	79.97%	17.31%	+66.44	5-1
1936-11-01	@ Chicago Bears	W 21-10	1780.13	1926.89	22.96%	73.74%	+163.02	6-1
1936-11-08	@ Boston Redskins	W 7-3	1943.15	1412.51	93.02%	5.85%	+7.74	7-1
1936-11-15	@ Brooklyn Dodgers	W 38-7	1950.89	1372.48	94.58%	4.52%	+16.62	8-1
1936-11-22	@ New York Giants	W 26-14	1967.51	1460.76	92.11%	6.64%	+15.25	9-1
1936-11-29	@ Detroit Lions	W 26-17	1982.76	1906.22	51.38%	44.30%	+90.33	10-1
1936-12-06	@ Chicago Cardinals	T 0-0	2073.09	1494.79	94.57%	4.53%	-14.71	10-1
1936-09-13	@ Philadelphia Eagles	L 7-10	1569.44	1402.88	63.76%	32.29%	-74.02	0-1
1936-09-27	@ Pittsburgh Pirates	L 7-10	1495.42	1540.95	34.47%	61.48%	-40.80	0-2
1936-10-04	@ Boston Redskins	W 7-0	1454.62	1628.61	20.39%	76.56%	+134.77	1-2
1936-10-11	Brooklyn Dodgers	T 10-10	1589.39	1384.44	79.50%	17.73%	-10.19	1-2
1936-10-18	Chicago Cardinals	W 14-6	1579.20	1253.94	88.32%	9.91%	+18.78	2-2
1936-10-25	Philadelphia Eagles	W 21-17	1597.98	1072.12	95.88%	3.42%	+4.49	3-2
1936-11-01	Detroit Lions	W 14-7	1602.47	1691.74	42.51%	53.19%	+94.95	4-2
1936-11-08	Chicago Bears	L 7-25	1697.42	1763.87	45.74%	49.93%	-131.73	4-3
1936-11-15	@ Detroit Lions	L 0-38	1565.69	1693.19	24.92%	71.62%	-104.93	4-4
1936-11-22	Green Bay Packers	L 14-26	1460.76	1967.51	6.64%	92.11%	-15.26	4-5
1936-11-26	@ Brooklyn Dodgers	W 14-0	1445.50	1231.41	69.65%	26.75%	+68.42	5-5
1936-12-06	Boston Redskins	L 0-14	1513.92	1564.90	47.96%	47.71%	-121.57	5-6
1936-09-13	New York Giants	W 10-7	1402.88	1569.44	32.29%	63.76%	+74.02	1-0
1936-09-20	Boston Redskins	L 3-26	1476.90	1335.41	73.17%	23.49%	-233.98	1-1
1936-09-27	Chicago Bears	L 0-17	1242.92	1794.72	5.22%	93.76%	-14.23	1-2
1936-10-04	@ Brooklyn Dodgers	L 0-18	1228.69	1290.31	32.45%	63.60%	-94.13	1-3
1936-10-11	Detroit Lions	L 0-23	1134.56	1719.90	4.36%	94.77%	-13.78	1-4
1936-10-14	@ Pittsburgh Pirates	L 0-17	1120.78	1508.30	7.20%	91.45%	-19.73	1-5
1936-10-18	@ Boston Redskins	L 7-17	1101.05	1362.91	13.56%	84.16%	-28.93	1-6
1936-10-25	@ New York Giants	L 17-21	1072.12	1597.98	3.42%	95.88%	-4.50	1-7
1936-11-05	Pittsburgh Pirates	L 0-6	1067.62	1481.78	10.68%	87.44%	-17.55	1-8
1936-11-08	@ Chicago Cardinals	L 0-13	1050.07	1164.38	26.33%	70.10%	-64.87	1-9
1936-11-22	Chicago Bears	L 7-28	985.20	1920.05	0.61%	99.24%	-1.83	1-10
1936-11-29	Brooklyn Dodgers	L 7-13	983.37	1162.98	30.71%	65.43%	-51.44	1-11
1936-09-13	Boston Redskins	W 10-0	1369.81	1444.68	44.54%	51.14%	+109.27	1-0
1936-09-23	@ Brooklyn Dodgers	W 10-6	1479.08	1411.39	50.11%	45.56%	+61.87	2-0
1936-09-27	New York Giants	W 10-7	1540.95	1495.42	61.48%	34.47%	+40.80	3-0
1936-10-04	Chicago Bears	L 9-27	1581.75	1808.95	25.34%	71.17%	-73.45	3-1
1936-10-14	Philadelphia Eagles	W 17-0	1508.30	1120.78	91.45%	7.20%	+19.73	4-1
1936-10-18	@ Chicago Bears	L 7-26	1528.03	1884.97	8.44%	90.02%	-24.53	4-2
1936-10-25	@ Green Bay Packers	L 10-42	1503.50	1713.69	17.31%	79.97%	-66.43	4-3
1936-11-01	Brooklyn Dodgers	W 10-7	1437.07	1417.19	58.00%	37.82%	+44.71	5-3
1936-11-05	@ Philadelphia Eagles	W 6-0	1481.78	1067.62	87.44%	10.68%	+17.54	6-3
1936-11-08	@ Detroit Lions	L 3-28	1499.32	1596.79	28.20%	68.10%	-96.39	6-4
1936-11-15	@ Chicago Cardinals	L 6-14	1402.93	1229.25	64.68%	31.43%	-122.56	6-5
1936-11-29	@ Boston Redskins	L 0-30	1280.37	1504.77	16.20%	81.20%	-60.13	6-6

Playoff Games

Every playoff game from the selected team's perspective.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Loss %	Elo Δ	Record
1936-12-13	Green Bay Packers	L 6-21	1686.47	2058.38	13.68%	86.32%	-34.33	0-1
1936-12-13	@ Boston Redskins	W 21-6	2058.38	1686.47	86.32%	13.68%	+34.34	1-0

Biggest Upsets

The 25 biggest upsets of the seasons, ranked by lowest pregame win probability. An asterisk (*) after the date indicates a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	1936-11-29	7.09%	@ Chicago Cardinals	1335.76	14	Chicago Bears	1829.84	7
2	1936-10-04	20.39%	New York Giants	1454.62	7	@ Boston Redskins	1628.61	0
3	1936-11-01	22.96%	Green Bay Packers	1780.13	21	@ Chicago Bears	1926.89	10
4	1936-09-20	23.49%	Boston Redskins	1335.41	26	@ Philadelphia Eagles	1476.90	3
5	1936-11-15	31.43%	@ Chicago Cardinals	1229.25	14	Pittsburgh Pirates	1402.93	6
6	1936-09-13	32.29%	@ Philadelphia Eagles	1402.88	10	New York Giants	1569.44	7
7	1936-09-20	38.62%	Chicago Bears	1594.83	30	@ Green Bay Packers	1608.70	3
8	1936-11-26	39.96%	@ Detroit Lions	1814.18	13	Chicago Bears	1921.89	7
9	1936-10-18	41.07%	@ Green Bay Packers	1661.59	20	Detroit Lions	1761.23	18
10	1936-11-01	42.51%	@ New York Giants	1602.47	14	Detroit Lions	1691.74	7
11	1936-09-13	44.54%	@ Pittsburgh Pirates	1369.81	10	Boston Redskins	1444.68	0
12	1936-12-06	47.71%	Boston Redskins	1564.90	14	@ New York Giants	1513.92	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating. An asterisk (*) after the date indicates a playoff game.

#	Date	Elo Δ	Winning Team				Losing Team
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %
1	1936-09-20	233.98	Boston Redskins	26	1335.41	23.49%	@ Philadelphia Eagles	3	1476.90	73.17%
2	1936-09-20	199.89	Chicago Bears	30	1594.83	38.62%	@ Green Bay Packers	3	1608.70	57.17%
3	1936-11-01	163.02	Green Bay Packers	21	1780.13	22.96%	@ Chicago Bears	10	1926.89	73.74%
4	1936-11-29	159.03	@ Chicago Cardinals	14	1335.76	7.09%	Chicago Bears	7	1829.84	91.57%
5	1936-10-04	134.77	New York Giants	7	1454.62	20.39%	@ Boston Redskins	0	1628.61	76.56%
6	1936-11-08	131.73	Chicago Bears	25	1763.87	49.93%	@ New York Giants	7	1697.42	45.74%
7	1936-10-11	130.93	@ Green Bay Packers	31	1530.66	60.31%	Boston Redskins	2	1493.84	35.59%
8	1936-11-22	124.46	@ Boston Redskins	30	1380.31	58.63%	Brooklyn Dodgers	6	1355.87	37.21%
9	1936-11-15	122.56	@ Chicago Cardinals	14	1229.25	31.43%	Pittsburgh Pirates	6	1402.93	64.68%
10	1936-10-04	121.85	@ Green Bay Packers	24	1408.81	59.45%	Chicago Cardinals	0	1378.36	36.42%
11	1936-12-06	121.57	Boston Redskins	14	1564.90	47.71%	@ New York Giants	0	1513.92	47.96%
12	1936-09-13	109.27	@ Pittsburgh Pirates	10	1369.81	44.54%	Boston Redskins	0	1444.68	51.14%
13	1936-11-15	104.94	@ Detroit Lions	38	1693.19	71.62%	New York Giants	0	1565.69	24.92%
14	1936-09-28	100.73	@ Detroit Lions	39	1619.18	73.02%	Chicago Cardinals	0	1479.09	23.63%
15	1936-11-08	96.40	@ Detroit Lions	28	1596.79	68.10%	Pittsburgh Pirates	3	1499.32	28.20%
16	1936-11-01	94.95	@ New York Giants	14	1602.47	42.51%	Detroit Lions	7	1691.74	53.19%
17	1936-10-04	94.13	@ Brooklyn Dodgers	18	1290.31	63.60%	Philadelphia Eagles	0	1228.69	32.45%
18	1936-11-26	92.05	@ Detroit Lions	13	1814.18	39.96%	Chicago Bears	7	1921.89	55.80%
19	1936-11-29	90.33	Green Bay Packers	26	1982.76	51.38%	@ Detroit Lions	17	1906.22	44.30%
20	1936-09-13	74.02	@ Philadelphia Eagles	10	1402.88	32.29%	New York Giants	7	1569.44	63.76%
21	1936-10-04	73.45	Chicago Bears	27	1808.95	71.17%	@ Pittsburgh Pirates	9	1581.75	25.34%
22	1936-11-26	68.43	New York Giants	14	1445.50	69.65%	@ Brooklyn Dodgers	0	1231.41	26.75%
23	1936-10-25	66.44	@ Green Bay Packers	42	1713.69	79.97%	Pittsburgh Pirates	10	1503.50	17.31%
24	1936-11-08	64.87	@ Chicago Cardinals	13	1164.38	70.10%	Philadelphia Eagles	0	1050.07	26.33%
25	1936-09-23	61.87	Pittsburgh Pirates	10	1479.08	50.11%	@ Brooklyn Dodgers	6	1411.39	45.56%