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Pittsburgh Panthers

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

2017 Team Stats (9 games)

51.0
PPG
71.7
Opp
-20.7
Margin
39.1%
FG%
25.4%
3P%
66.1%
FT%
28.8
RPG
12.4
APG
18.4
TO
-
Est. poss./game
61.0
Adj PPG
56.3
Adj Opp PPG
#111
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 → 1036 (#158) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1012 (#164) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +87 elo More → 913 (#277) HCA +87 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +5.5 (#109) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → +4.8 (#114) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.364 (#225) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.2 More → 0.764 (#102) AdjNet +10.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.5 More → 0.772 (#102) AdjNet +10.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.0 | AdjD 56.3 More → 0.605 (#111) AdjO 61.0 | AdjD 56.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.1 | AdjD 58.8 More → 0.484 (#172) AdjO 58.1 | AdjD 58.8
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 → 0.578 (#139) 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 → 0.553 (#149) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 155 | GP 29 More → 1014 (#163) RD 155 | GP 29

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 vs Mount St. Mary's Mountaineers W 89 - 54
2016-11-14 vs Youngstown State Penguins W 63 - 50
2016-11-17 vs Loyola Chicago Ramblers W 59 - 35
2016-11-21 vs Loyola Maryland Greyhounds W 74 - 44
2016-11-23 vs Slippery Rock The Rock W 94 - 48
2016-11-26 vs Cornell Big Red W 56 - 44
2016-11-30 vs Purdue Boilermakers L 61 - 67
2016-12-04 vs Charlotte 49ers L 63 - 70
2016-12-06 vs Bryant Bulldogs W 76 - 60
2016-12-10 @ Penn State Lady Lions L 62 - 91
2016-12-19 @ UTEP Miners W 71 - 46
2016-12-20 vs McNeese Cowgirls W 71 - 65
2016-12-29 @ Duquesne Dukes L 54 - 63
2017-01-02 vs Miami Hurricanes L 50 - 82
2017-01-05 vs Boston College Eagles W 56 - 43
2017-01-08 @ Louisville Cardinals L 52 - 73
2017-01-12 @ Notre Dame Fighting Irish L 54 - 86
2017-01-15 vs North Carolina Tar Heels W 68 - 48
2017-01-22 vs Virginia Cavaliers W 62 - 54
2017-01-26 @ NC State Wolfpack L 42 - 55
2017-01-29 vs Louisville Cardinals L 48 - 63
2017-02-02 @ Syracuse Orange L 65 - 93
2017-02-05 @ Wake Forest Demon Deacons L 48 - 57
2017-02-09 vs Clemson Tigers L 46 - 54
2017-02-12 @ Duke Blue Devils L 48 - 62
2017-02-16 vs Virginia Tech Hokies W 72 - 64
2017-02-19 @ Georgia Tech Yellow Jackets L 57 - 71
2017-02-23 @ Florida State Seminoles L 48 - 79
2017-02-26 vs Syracuse Orange L 57 - 73
2017-03-01 vs North Carolina Tar Heels L 60 - 72

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%
B. Wise B. Wise F 9 29.4 12.1 6.3 0.8 0.7 0.7 1.8 10.9 7.9 - - - - 41.8 36.4 86.4 - 50.6 45.9
B. Harvey-Carr B. Harvey-Carr C 9 26.9 11.9 5.1 0.6 0.6 0.9 2.8 9.0 7.2 - - - - 48.1 11.1 65.1 - 53.5 48.8
J. Whitney J. Whitney G 9 22.6 5.1 2.8 2.7 1.2 0.2 3.1 5.8 3.1 - - - - 36.5 12.5 63.6 - 40.5 37.5
A. Gribble A. Gribble G 9 21.0 5.1 1.9 0.4 0.0 0.1 0.8 5.8 1.0 - - - - 32.7 25.6 50.0 - 43.5 43.3
A. Bugg A. Bugg G 9 25.3 4.8 1.3 2.6 0.3 0.6 2.3 6.3 0.9 - - - - 28.1 18.8 80.0 - 35.0 30.7
K. Walters K. Walters C 9 23.9 4.7 3.0 1.2 0.9 1.3 1.3 4.0 5.8 - - - - 50.0 0 54.5 - 51.4 50.0
K. Bradley K. Bradley F 9 24.4 4.1 2.4 1.4 1.2 0.6 2.4 4.2 3.1 - - - - 34.2 25.0 55.6 - 44.1 42.1
C. Walsh C. Walsh G 8 7.4 1.8 0.8 1.0 0.2 0.0 1.1 1.4 1.2 - - - - 45.5 50.0 0.0 - 54.9 63.6
C. Warring C. Warring F 9 18.1 1.7 2.2 1.9 0.7 0.0 1.9 2.4 2.1 - - - - 31.8 14.3 0 - 34.1 34.1
M. Serio M. Serio G 4 4.0 0.0 0.5 0.0 0.0 0.0 0.2 0.2 0.0 - - - - 0.0 0.0 0 - 0.0 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