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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

The surface stays filled across the five on-court roles. 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