🐻⬇️🏀

Pittsburgh

Also known as: Pittsburgh Panthers
Program History

2022 Team Stats (1 games)

56.0
PPG
67.9
Opp
-6.7
Margin
42.1%
FG%
27.8%
3P%
50.0%
FT%
27.0
RPG
12.0
APG
13.0
TO
72.6
Pace

Model Outputs

2021-2022
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 → 1278 (#89) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1336 (#76) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 932 (#574) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +32.6 (#67) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +11.3 (#184) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.145 (#108) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -48.2 More → 0.007 (#335) NetEff -48.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.6 More → 0.272 (#91) AdjNet -8.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.6 More → 0.270 (#91) AdjNet -8.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.2 | AdjD 66.2 More → 0.410 (#554) AdjO 62.2 | AdjD 66.2
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 → 0.656 (#225) 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 → 0.603 (#241) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 29 More → 980 (#235) RD 140 | GP 29

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 vs The Citadel Bulldogs L 63 - 78
2021-11-12 @ West Virginia Mountaineers L 59 - 74
2021-11-16 vs UNC Wilmington Seahawks W 59 - 51
2021-11-19 vs Towson Tigers W 63 - 59
2021-11-27 vs UMBC Retrievers L 77 - 87
2021-11-30 vs Minnesota Golden Gophers L 53 - 54
2021-12-03 @ Virginia Cavaliers L 56 - 57
2021-12-09 vs Colgate Raiders W 71 - 68
2021-12-12 vs Monmouth Hawks L 52 - 56
2021-12-18 vs St. John's Red Storm W 59 - 57
2021-12-21 vs Jacksonville Dolphins W 64 - 55
2021-12-28 vs Notre Dame Fighting Irish L 67 - 68
2022-01-11 @ Syracuse Orange L 61 - 77
2022-01-15 vs Louisville Cardinals W 65 - 53
2022-01-19 vs Virginia Cavaliers L 61 - 66
2022-01-22 @ Clemson Tigers L 48 - 75
2022-01-25 vs Syracuse Orange W 64 - 53
2022-01-30 @ Boston College Eagles L 56 - 69
2022-02-02 @ Wake Forest Demon Deacons L 75 - 91
2022-02-05 vs Virginia Tech Hokies L 71 - 76
2022-02-07 @ Virginia Tech Hokies L 47 - 74
2022-02-09 @ Florida State Seminoles W 56 - 51
2022-02-12 vs NC State Wolfpack W 71 - 69
2022-02-16 @ North Carolina Tar Heels W 76 - 67
2022-02-19 vs Georgia Tech Yellow Jackets L 62 - 68
2022-02-22 vs Miami Hurricanes L 64 - 85
2022-03-01 vs Duke Blue Devils L 56 - 86
2022-03-05 @ Notre Dame Fighting Irish L 54 - 78
2022-03-08 vs Boston College Eagles L 46 - 66

2022 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
J. LaRavia J. LaRavia - 1 30.0 18.0 6.0 1.0 1.0 0.0 3.0 0.0 23.0 - - - 0 0 0 1.35 0 0
N. Cummings N. Cummings - 1 33.0 17.0 0.0 3.0 1.0 0.0 3.0 0.0 18.0 277 8.7 10.9 0 0 0 1.58 0 0
J. Hugley IV J. Hugley IV F 29 30.0 14.8 7.9 1.2 0.7 0.5 2.8 1.9 20.4 - - - 42.6 12.5 65.4 -0.02 327.0 43.5
J. Burton J. Burton - 27 34.6 12.2 3.4 2.5 0.9 0.2 2.1 1.3 15.9 -113 -3.8 -4.4 44.1 33.3 60.0 0.42 454.4 48.5
Femi Odukale Femi Odukale - 28 32.3 10.8 3.5 3.4 1.0 0.5 2.8 1.5 14.9 -81 -2.6 -3.3 36.6 36.4 61.5 0.6 287.9 41.5
Mouhamadou Gueye Mouhamadou Gueye - 29 29.5 9.8 6.5 1.2 0.6 2.2 1.6 1.3 17.4 - - - 37.8 26.7 60.0 0.55 344.2 43.2
I. Horton I. Horton - 12 30.2 9.5 2.6 1.3 1.1 0.1 1.6 2.5 10.5 - - - 33.3 33.3 0 -1.15 190.0 40.0
N. Bohannon N. Bohannon F 1 22.0 4.0 3.0 2.0 1.0 0.0 0.0 0.0 10.0 18 0.5 1.0 0 0 0 0.34 0 0
A. Rizzuto A. Rizzuto G 1 20.0 4.0 4.0 1.0 0.0 0.0 0.0 0.0 9.0 149 5.0 8.7 0 0 0 0.4 0 0
W. Jeffress W. Jeffress F 28 20.7 3.3 3.3 0.7 0.7 0.3 0.9 0.6 6.8 -124 -4.0 -7.6 17.6 0.0 54.5 -0.78 212.9 17.6
D. Oladapo D. Oladapo - 14 9.7 3.2 1.9 0.3 0.2 0.1 1.3 0.4 4.0 -65 -4.3 -15.4 60.0 0 75.0 -0.65 332.8 60.0
G. Thompson G. Thompson - 2 10.0 3.0 1.5 0.5 0.0 0.5 0.5 1.5 3.5 -21 -1.2 -5.5 66.7 0.0 100.0 -0.28 77.3 66.7
Nate Santos Nate Santos F 24 11.9 2.5 1.7 0.5 0.3 0.0 0.5 0.4 4.1 -53 -2.1 -6.8 55.6 40.0 0 -0.27 327.8 66.7
O. Ezeakudo O. Ezeakudo - 29 19.3 2.3 1.6 1.2 0.7 0.0 0.8 0.2 4.8 -96 -3.0 -6.2 20.0 25.0 25.0 -0.08 495.6 30.0
J. Baker J. Baker G 1 31.0 2.0 8.0 0.0 0.0 2.0 1.0 8.0 3.0 122 3.6 11.6 12.5 0.0 0 0.79 12.5 12.5
I. Broady I. Broady - 1 1.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 77 7.0 28.2 0 0 0 0.59 0 0
N. Collier N. Collier F 29 9.1 1.5 1.7 0.1 0.1 0.1 0.3 0.1 3.1 -144 -4.6 -18.2 33.3 0 50.0 -1.26 567.0 33.3
Payton Jr., Chris Payton Jr., Chris - 12 3.2 0.8 0.8 0.2 0.1 0.1 0.4 0.2 1.4 - - - 50.0 0 50.0 - 173.6 50.0
P. Fox P. Fox G 1 1.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
M. Amadasun M. Amadasun - 5 1.4 0.0 0.4 0.0 0.0 0.0 0.0 0.0 0.4 - - - 0 0 0 - 0 0
J. Gibson J. Gibson G 1 26.0 0.0 3.0 2.0 2.0 0.0 0.0 0.0 7.0 -110 -3.8 -10.3 0 0 0 1.21 0 0
A. Fisch A. Fisch - 2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Q. Pemberton Q. Pemberton - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
B. Varga B. Varga G 1 3.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 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