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Pittsburgh

Also known as: Pittsburgh Panthers
Program History

2017 Team Stats (11 games)

68.3
PPG
77.2
Opp
-8.9
Margin
42.9%
FG%
34.5%
3P%
71.3%
FT%
31.5
RPG
12.1
APG
11.9
TO
-
Est. poss./game
75.3
Adj PPG
68.0
Adj Opp PPG
#76
Scoring Rank

Model Outputs

2016-2017
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 โ†’ 1163 (#80) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1113 (#85) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 969 (#217) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +8.4 (#71) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +5.3 (#91) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.430 (#209) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.0 More โ†’ 0.781 (#74) AdjNet +11.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.1 More โ†’ 0.783 (#74) AdjNet +11.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.3 | AdjD 68.0 More โ†’ 0.660 (#76) AdjO 75.3 | AdjD 68.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.1 | AdjD 68.6 More โ†’ 0.513 (#157) AdjO 69.1 | AdjD 68.6
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 โ†’ 0.638 (#96) 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 โ†’ 0.609 (#103) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 33 More โ†’ 1101 (#95) RD 132 | GP 33

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Eastern Michigan Eagles W 93 - 90
2016-11-14 vs Gardner-Webb Runnin' Bulldogs W 99 - 80
2016-11-17 @ SMU Mustangs L 67 - 76
2016-11-18 @ Marquette Golden Eagles W 78 - 75
2016-11-22 vs Yale Bulldogs W 75 - 70
2016-11-25 vs Morehead State Eagles W 76 - 63
2016-11-29 @ Maryland Terrapins W 73 - 59
2016-12-02 vs Duquesne Dukes L 55 - 64
2016-12-07 vs Buffalo Bulls W 84 - 79
2016-12-10 vs Penn State Nittany Lions W 81 - 73
2016-12-17 vs Rice Owls W 83 - 73
2016-12-21 vs Omaha Mavericks W 94 - 75
2016-12-28 vs Marshall Thundering Herd W 112 - 106
2016-12-31 vs Notre Dame Fighting Irish L 77 - 78
2017-01-04 vs Virginia Cavaliers W 88 - 76
2017-01-07 @ Syracuse Orange L 66 - 77
2017-01-11 @ Louisville Cardinals L 80 - 85
2017-01-14 vs Miami Hurricanes L 46 - 72
2017-01-17 @ NC State Wolfpack L 74 - 79
2017-01-24 vs Louisville Cardinals L 51 - 106
2017-01-28 vs Clemson Tigers L 60 - 67
2017-01-31 @ North Carolina Tar Heels L 78 - 80
2017-02-04 @ Duke Blue Devils L 64 - 72
2017-02-08 @ Boston College Eagles W 83 - 72
2017-02-11 vs Syracuse Orange W 80 - 75
2017-02-14 vs Virginia Tech Hokies L 63 - 66
2017-02-18 vs Florida State Seminoles W 80 - 66
2017-02-22 @ Wake Forest Demon Deacons L 59 - 63
2017-02-25 vs North Carolina Tar Heels L 67 - 85
2017-02-28 @ Georgia Tech Yellow Jackets L 52 - 61
2017-03-04 @ Virginia Cavaliers L 42 - 67
2017-03-07 @ Georgia Tech Yellow Jackets W 61 - 59
2017-03-08 @ Virginia Cavaliers L 63 - 75

2017 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%
Michael Young Michael Young F 26 32.6 20.0 6.6 2.7 0.6 0.7 2.1 6.9 21.5 29 28 1.0 1.4 44.4 31.0 69.0 1.27 119.6 49.4
Jamel Artis Jamel Artis F 25 34.0 18.0 5.0 3.1 0.4 0.2 2.8 6.4 17.4 66 27 2.4 3.1 47.5 41.0 72.2 3.6 122.2 57.5
Cameron Johnson Cameron Johnson - 26 33.9 11.5 4.7 2.6 1.0 0.4 1.0 4.0 15.2 70 28 2.5 3.3 43.3 37.3 77.4 2.47 126.7 55.3
Sheldon Jeter Sheldon Jeter F 26 27.5 8.2 6.8 1.7 0.7 1.0 1.3 3.3 13.8 44 28 1.6 2.4 54.1 40.5 65.0 0.44 113.0 62.9
Chris Jones Chris Jones G 25 31.0 7.1 3.0 2.1 0.6 0.2 1.8 2.7 8.4 38 27 1.4 1.9 47.1 33.3 80.4 2.24 100.3 52.2
Ryan Luther Ryan Luther F 18 19.7 6.2 4.3 0.7 0.2 0.7 1.7 1.2 9.2 6 20 0.3 0.7 47.6 42.9 75.0 -0.35 199.7 54.8
Jonathan Milligan Jonathan Milligan G 22 8.3 2.0 0.2 0.6 0.0 0.0 0.5 0.8 1.6 -73 21 -3.5 -16.2 17.6 23.1 75.0 -3.17 119.9 26.5
Rozelle Nix Rozelle Nix F 17 6.5 1.6 2.6 0.1 0.0 0.2 0.3 0.8 3.4 -43 14 -3.1 -19.1 46.2 0 66.7 -2.42 79.6 46.2
Justice Kithcart Justice Kithcart G 22 13.5 1.6 0.8 1.2 0.4 0.1 0.7 0.5 3.0 -59 24 -2.5 -8.0 30.0 42.9 50.0 -4.19 153.1 45.0
Ryan Seelye Ryan Seelye F 2 2.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Damon Wilson Damon Wilson G 22 7.0 0.9 0.5 0.3 0.0 0.0 0.5 0.7 0.7 -72 23 -3.1 -21.6 25.0 0.0 40.0 -3.55 54.9 25.0
Corey Manigault Corey Manigault F 14 4.4 0.9 0.9 0.1 0.0 0.1 0.0 0.7 1.4 -42 14 -3.0 -32.2 10.0 0.0 100.0 -2.14 55.3 10.0
Zach Smith Zach Smith G 7 2.0 0.0 0.3 0.0 0.0 0.0 0.1 0.6 -0.4 -2 5 -0.4 -5.9 0.0 0.0 0 0.45 0.0 0.0

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