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Philadelphia 76ers

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Philadelphia 76ers
Program History

2007 Team Stats (24 games)

95.0
PPG
96.4
Opp
-1.4
Margin
46.5%
FG%
33.8%
3P%
75.8%
FT%
40.8
RPG
20.8
APG
15.7
TO
93.1
Est. poss./game
93.6
Adj PPG
96.9
Adj Opp PPG
#24
Scoring Rank

Model Outputs

2006-2007
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1089 (#11) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 939 (#20) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +63 elo More → 1014 (#13) HCA +63 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -3.3 (#24) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.1 More → -2.2 (#18) HCA +3.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.411 (#23) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -0.5 More → 0.485 (#15) NetEff -0.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.3 More → 0.406 (#24) AdjNet -3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.3 More → 0.405 (#24) AdjNet -3.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 93.6 | AdjD 96.9 More → 0.427 (#24) AdjO 93.6 | AdjD 96.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 94.7 | AdjD 96.6 More → 0.458 (#18) AdjO 94.7 | AdjD 96.6
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.480 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.486 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 236 | GP 82 More → 1006 (#13) RD 236 | GP 82

2007 Schedule & Results

Date Vs/At Opponent Result Score
2007-02-26 vs Sacramento Kings W 89 - 82
2007-02-28 vs Phoenix Suns W 99 - 94
2007-03-02 vs Memphis Grizzlies W 117 - 112
2007-03-04 vs Brooklyn Nets W 99 - 86
2007-03-07 vs Oklahoma City Thunder W 92 - 89
2007-03-09 vs Los Angeles Lakers - Incomplete score
2007-03-10 @ Indiana Pacers W 100 - 96
2007-03-13 @ Atlanta Hawks L 92 - 104
2007-03-14 vs Chicago Bulls L 87 - 88
2007-03-16 vs Utah Jazz W 89 - 88
2007-03-18 vs Houston Rockets L 74 - 124
2007-03-20 @ Detroit Pistons L 75 - 96
2007-03-23 vs Charlotte Hornets W 106 - 97
2007-03-24 @ Miami Heat W 93 - 85
2007-03-28 @ Washington Wizards L 108 - 111
2007-03-30 vs Boston Celtics W 88 - 82
2007-03-31 @ Brooklyn Nets L 82 - 86
2007-04-04 @ New York Knicks W 92 - 90
2007-04-06 vs Toronto Raptors L 85 - 94
2007-04-08 vs Atlanta Hawks W 109 - 104
2007-04-10 vs Indiana Pacers - Incomplete score
2007-04-11 @ Boston Celtics W 102 - 94
2007-04-14 vs Orlando Magic L 87 - 104
2007-04-15 @ Detroit Pistons W 102 - 91
2007-04-17 vs Cleveland Cavaliers L 92 - 98
2007-04-18 @ Toronto Raptors W 122 - 119

2007 Roster

Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Andre Iguodala Andre Iguodala G 19 40.8 19.7 5.9 6.3 2.1 0.5 4.2 14.3 16.1 - - - - 44.3 35.3 81.9 - 55.6 46.5
Willie Green G 22 28.3 14.2 2.6 1.8 0.8 0.1 2.0 13.9 3.6 - - - - 44.6 32.8 66.7 - 49.0 47.7
Kyle Korver G 19 30.2 14.2 2.8 1.2 0.8 0.4 1.4 11.9 6.1 - - - - 41.0 40.2 90.6 - 53.7 48.7
Andre Miller Andre Miller G 24 37.8 13.1 4.7 6.9 1.3 0.1 2.8 11.3 12.1 - - - - 45.4 0.0 81.2 - 51.1 45.4
Samuel Dalembert G 24 32.5 11.0 8.6 1.2 0.6 1.5 2.1 7.9 12.8 - - - - 56.8 0.0 78.7 - 60.9 56.8
Joe Smith G 22 27.2 10.4 7.8 1.2 0.6 0.5 1.5 9.3 9.7 - - - - 45.1 0.0 84.6 - 50.2 45.1
Rodney Carney G 13 17.4 7.9 2.5 0.6 0.6 0.4 0.8 6.8 4.4 - - - - 46.1 30.0 62.5 - 51.7 49.4
Steven Hunter G 23 28.0 7.7 5.9 0.4 0.3 0.9 1.3 5.9 8.0 - - - - 55.6 0 48.3 - 55.4 55.6
Lou Williams Lou Williams G 23 16.2 6.4 1.7 2.9 0.6 0.0 0.8 4.8 5.9 - - - - 45.0 38.1 84.8 - 56.0 48.6
Bobby Jones G 14 11.7 4.3 1.6 0.5 0.5 0.0 0.6 3.6 2.6 - - - - 47.1 0.0 54.5 - 49.4 47.1
Kevin Ollie G 7 7.0 2.1 1.0 0.6 0.1 0.1 0.6 1.6 1.9 - - - - 63.6 0 50.0 - 63.1 63.6
Lou Amundson F 9 8.8 1.6 2.9 0.1 0.1 0.8 0.4 1.7 3.3 - - - - 40.0 0 33.3 - 39.7 40.0
Alan Henderson G 3 6.1 0.3 0.7 0.3 0.0 0.0 0.0 0.3 1.0 - - - - 0.0 0 25.0 - 18.1 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG