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Pittsburgh

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Pittsburgh Panthers
Program History
Coach: Jamie Dixon

2013 Team Stats (17 games)

63.5
PPG
58.5
Opp
+5.0
Margin
44.0%
FG%
32.8%
3P%
65.8%
FT%
33.2
RPG
14.4
APG
11.7
TO
-
Est. poss./game
68.7
Adj PPG
52.4
Adj Opp PPG
#10
Scoring Rank

Model Outputs

2012-2013
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 → 1317 (#30) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1241 (#35) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More → 1060 (#92) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → +17.4 (#11) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → +14.5 (#21) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.919 (#5) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +28.8 More → 0.966 (#10) AdjNet +28.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +29.1 More → 0.967 (#10) AdjNet +29.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.7 | AdjD 52.4 More → 0.816 (#10) AdjO 68.7 | AdjD 52.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 57.1 More → 0.694 (#27) AdjO 66.1 | AdjD 57.1
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 → 0.846 (#17) 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 → 0.827 (#21) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 117 | GP 33 More → 1223 (#43) RD 117 | GP 33

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Mount St. Mary's Mountaineers W 80 - 48
2012-11-12 vs Fordham Rams W 86 - 51
2012-11-13 vs Lehigh Mountain Hawks W 78 - 53
2012-11-17 vs Oakland Golden Grizzlies W 72 - 62
2012-11-21 @ Michigan Wolverines L 62 - 67
2012-11-23 vs Delaware Blue Hens W 85 - 59
2012-11-27 vs Howard Bison W 70 - 46
2012-12-01 vs Detroit Mercy Titans W 74 - 61
2012-12-05 vs Duquesne Dukes W 66 - 45
2012-12-08 vs North Florida Ospreys W 89 - 47
2012-12-15 vs Bethune-Cookman Wildcats W 89 - 40
2012-12-19 vs Delaware State Hornets W 71 - 43
2012-12-23 vs Kennesaw State Owls W 59 - 43
2012-12-31 vs Cincinnati Bearcats L 61 - 70
2013-01-05 @ Rutgers Scarlet Knights L 62 - 67
2013-01-08 @ Georgetown Hoyas W 73 - 45
2013-01-12 vs Marquette Golden Eagles L 67 - 74
2013-01-16 @ Villanova Wildcats W 58 - 43
2013-01-19 vs UConn Huskies W 69 - 61
2013-01-22 @ Providence Friars W 68 - 64
2013-01-26 vs DePaul Blue Demons W 93 - 55
2013-01-28 @ Louisville Cardinals L 61 - 64
2013-02-02 vs Syracuse Orange W 65 - 55
2013-02-04 vs Seton Hall Pirates W 56 - 46
2013-02-09 @ Cincinnati Bearcats W 62 - 52
2013-02-16 @ Marquette Golden Eagles L 69 - 79
2013-02-18 vs Notre Dame Fighting Irish L 42 - 51
2013-02-24 @ St. John's Red Storm W 63 - 47
2013-02-27 vs South Florida Bulls W 64 - 44
2013-03-03 vs Villanova Wildcats W 73 - 64
2013-03-09 @ DePaul Blue Demons W 81 - 66
2013-03-14 vs Syracuse Orange L 59 - 62
2013-03-21 vs Wichita State Shockers L 55 - 73

2013 Roster

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%
Travon Woodall Travon Woodall G 33 28.6 11.5 2.6 5.1 1.2 0.2 2.2 6.0 12.3 368 30 12.3 17.8 40.6 33.0 76.9 5.44 86.0 49.7
Lamar Patterson Lamar Patterson G 33 27.0 10.0 4.3 2.8 1.2 0.3 1.8 5.3 11.6 312 30 10.4 16.2 45.4 32.1 62.5 4.09 80.2 52.9
Talib Zanna Talib Zanna F 33 23.9 9.6 6.1 0.6 0.6 0.6 1.1 4.5 11.8 234 30 7.8 13.7 42.2 0 62.0 0.02 86.9 42.2
J.J. Moore J.J. Moore F 33 18.7 8.0 3.0 0.6 0.5 0.0 0.6 4.0 7.5 188 30 6.3 14.3 45.0 40.7 74.2 2.23 91.3 53.4
Steven Adams Steven Adams C 32 23.4 7.2 6.3 0.6 0.7 2.0 1.1 3.3 12.4 266 29 9.2 16.4 54.2 0 44.7 3.58 90.5 54.2
James Robinson James Robinson G 33 26.6 6.1 2.1 3.5 1.0 0.0 1.2 3.4 8.1 237 30 7.9 12.3 34.8 29.0 77.8 -0.4 72.3 38.8
Dante Taylor Dante Taylor F 32 15.7 5.0 3.9 0.5 0.3 0.4 0.6 2.6 6.9 115 29 4.0 10.7 54.2 0 69.7 0.85 82.0 54.2
Trey Zeigler Trey Zeigler G 31 15.5 4.4 2.0 1.2 0.3 0.3 1.1 2.4 4.6 69 28 2.5 6.7 39.2 0.0 47.1 -1.51 76.4 39.2
Cameron Wright Cameron Wright G 31 14.6 4.3 1.4 1.0 0.7 0.2 0.6 2.3 4.7 131 28 4.7 13.9 50.7 42.9 54.5 0.92 81.8 52.8
Durand Johnson Durand Johnson F 31 11.9 4.3 1.3 0.5 0.3 0.1 0.6 2.5 3.4 85 28 3.0 11.4 39.0 36.7 64.7 0.64 78.7 50.6

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

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