NFL 2023-2024 Regular Season Stats

Statistics database last updated Mon 1/08/24. Updated weekly.

AFC
East North South West
MIA11-6BAL13-4HOU10-7KAN11-6
BUF11-6CLE11-6JAX9-8LVR8-9
NYJ7-10PIT10-7IND9-8DEN8-9
NWE4-13CIN9-8TEN6-11LAC5-12
NFC
East North South West
DAL12-5DET12-5TAM9-8SFO12-5
PHI11-6GNB9-8NOR9-8LAR10-7
NYG6-11MIN7-10ATL7-10SEA9-8
WAS4-13CHI7-10CAR2-15ARI4-13

The box plots describe how exceptional, average, or disastrous each team is this year. Mouse over the data points for details.

Point margins provide more context about a team's season than wins and losses. In the figure below, teams with a small, tight box plot, like the Minnesota Vikings (MIN), tend to have consistent point margins. Teams with a taller box plot, like the Miami Dolphins (MIA), have varied results week-to-week.

Box plots of point differential per game for each team shown side by side, sorted by each team's median point differential per game.

A binary logistic regression models the effect of a variable on two possible results. This has a clear application in football analysis, where a game almost always ends in a win or loss. The probability curve reaches 50% win probability where the x variable is the league average per-game statistic, either points scored per game or yards gained per game. The table at the end of this page lists these values. Two binary logistic regression plots comparing the probability of winning a game vs. points scored and win probability vs. yards gained.

At the end of the regular season, the statistics most closely related to team wins are total points scored (0.84), net yards per pass attempt (0.77), total yards from scrimmage (0.75), and first down differential (0.68). Expected win rate also has a high coefficient because it is calculated from points scored and points allowed, two of the stats most correlated with wins.

Open the correlation matrix below in a new tab to view its full size.

Correlation matrix of all of the statistics in the table below.
Understanding the correlation matrix

A correlation matrix measures the relationships between multiple statistics using a number, or correlation coefficient, between -1 and 1. If you are familiar with r2 ("r squared") values, a correlation matrix is similar to a group of r2 values.

To find the relationship between two statistics, yards gained and points scored for example, find the intersection of the yards gained row and the points scored column. The points scored row and the yards gained column shows the same number; the matrix is mirrored across the upper-left to bottom-right diagonal full of ones.

A positive correlation coefficient indicates a direct relationship between two statistics. For example, teams with lots of total yards tend to score lots of points, and vice versa. Very positive correlations are a dark blue. On the other hand, a negative coefficient indicates an indirect relationship, like how teams with more wins tend to have fewer points scored against them, and teams with fewer wins tend to allow more points (who knew!). These relationships are marked in red.

For a more in-depth guide to interpreting correlation matrices, you can read more here.

Stat definitions

All statistics on this page only use data from the current season.

  1. Exp Win % — Expected win rate = points for2.37 / (points for2.37 + points against2.37)

    Pythagorean expectation estimates a team's win rate based on the total points scored by and against the team. If a team's final record is significantly different than their expected win rate, it can indicate how lucky or unlucky they have been this year.

  2. Win % — current win rate = (wins + 0.5 * ties) / total games
  3. Record — wins, losses, and tied games
  4. Pts — total points scored
  5. Pts Allowed — total points scored by opponents
  6. Yds — total offensive yards gained from scrimmage
  7. Pass Y — total passing yards gained (equivalent to receiving yards)
  8. Rush Y — total rushing yards gained
  9. Yds Allowed — total yards gained by opponents
  10. Pass Y Allowed — total passing yards gained by opponents (equivalent to opponent's receiving yards)
  11. Rush Y Allowed — total rushing yards gained by opponents
  12. 1stD Diff — First downs gained by the offense minus first downs allowed by the defense
  13. Net Y/Att — Net yards per pass attempt = (Passing yards - sack yards) / (passing attempts + sacks)

    NY/A is one of the most important stats for measuring offensive performance.

  14. Int % — percent chance a team throws an interception = interceptions / pass attempts
  15. TO Diff — turnovers gained minus turnovers lost
  16. Net Penalty Yards — penalty yards minus opponent's penalty yards
Rank Team ▼ Exp. Win % Win % Record Pts Pts Allowed Yds Pass Y Rush Y Y Allowed Pass Y Allowed Rush Y Allowed 1stD Diff Net Y/Att Int % TO Diff Net Pen Yds
League Avg0.4940.500---37037056373721191556373721191506.052.300
1BAL0.7850.76513-4483280629636352661511932591860536.791.412114
2SFO0.7660.70612-5491298677343842389516736421525648.352.410171
3DAL0.7570.70612-5509315631743971920509531851910746.721.61030
4BUF0.7070.64711-6451311636641542212522233421880686.893.12130
5MIA0.6370.64711-6496391682245142308541137601651397.562.7248
6KAN0.6340.64711-6371294597341891784492630011925506.322.7-11241
7NOR0.6200.5299-8402327573239901742556235242038376.221.81171
8DET0.5910.70612-5461395670843972311571442051509366.912.0055
9GNB0.5530.5299-8383350587339681905569635152181-26.491.90-51
10CLE0.5530.64711-6396362571036932017459328001793725.523.7-9-26
11LAR0.5410.58810-7404377610840632045574439281816226.592.2-3-266
12TAM0.5400.5299-8348325532138121509585242321620-376.271.88-11
13HOU0.5390.58810-7377353582041731647562239791643-36.531.410132
14JAX0.5100.5299-8377371577241261646582840761752226.242.3-3-317
15PHI0.5070.64711-6433428602438342190605442961758136.372.8-10-25
16LVR0.5020.4718-9332331492233801542562536102015-385.663.2-2-232
17IND0.4720.5299-8396415572536662059594738422105-225.961.72-158
18CIN0.4720.5299-8366384542238951527636542202145-225.862.310-170
19MIN0.4700.4127-10344362591243591553566439861678126.433.0-12-246
20CHI0.4700.4127-10360379549530962399551140431468155.502.93323
21PIT0.4620.58810-7304324517331632010581638601956-245.841.81112
22SEA0.4410.5299-8364402548739071580631339612352-636.382.12130
23LAC0.4180.2945-12346398559939561643617042461924-255.861.30-76
24DEN0.4150.4718-9357413507232621810630439732331-485.771.84-216
25ATL0.4120.4127-1032137356833524215954583449200966.183.2-12-88
26TEN0.3920.3536-11305367491330671846569738661831-365.502.2-6106
27NYJ0.3390.4127-10268355456629191647496928612108-384.392.5-6165
28ARI0.3180.2354-13330455550931442365604736132434-395.272.2-194
29NYG0.2670.3536-11266407476028861874614838972251-854.792.312-111
30NWE0.2610.2354-13236366469630691627512735431584-445.073.8-11132
31WAS0.2540.2354-13329518531637241592661244572155-435.313.3-14-127
32CAR0.2070.1182-15236416451027411769499729162081-144.211.7-9166
Rank Team Exp. Win % Win % Record Pts Pts Allowed Yds Pass Y Rush Y Y Allowed Pass Y Allowed Rush Y Allowed 1stD Diff Net Y/Att Int % TO Diff Net Pen Yds