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Youngstown State

Also known as: Youngstown State Penguins
Program History

2022 Team Stats (1 games)

53.0
PPG
70.5
Opp
+0.9
Margin
33.3%
FG%
16.7%
3P%
91.7%
FT%
38.0
RPG
6.0
APG
11.0
TO
73.3
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 β†’ 982 (#339) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1167 (#184) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More β†’ 993 (#417) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More β†’ +22.7 (#175) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More β†’ +7.3 (#247) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.2 More β†’ 0.262 (#193) NetEff -8.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.4 | AdjD 71.2 More β†’ 0.504 (#229) AdjO 71.4 | AdjD 71.2
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 β†’ 0.612 (#254) 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 β†’ 0.586 (#250) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 127 | GP 30 More β†’ 946 (#285) RD 127 | GP 30

2022 Schedule & Results

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%
M. Green M. Green - 1 29.0 19.0 9.0 0.0 3.0 0.0 0.0 0.0 31.0 -42 -1.4 -3.2 0 0 0 -0.05 0 0
J. Pipkins J. Pipkins G 2 31.0 17.0 5.5 1.5 1.0 0.5 2.0 4.5 19.0 169 5.1 6.8 55.6 75.0 100.0 1.31 172.1 72.2
D. Cohill D. Cohill - 30 30.1 15.2 4.4 2.8 1.0 0.5 2.3 2.6 18.9 128 3.8 5.1 46.8 47.1 81.8 1.37 243.8 51.9
T. Olison T. Olison G 9 32.1 14.3 4.0 1.1 1.2 0.4 2.7 2.2 16.2 50 1.5 1.9 30.0 22.2 75.0 0.09 296.4 35.0
M. Akuchie M. Akuchie F 9 31.9 10.0 7.2 2.0 0.7 0.6 1.4 2.2 16.8 66 1.9 2.5 35.0 14.3 75.0 0.33 206.8 37.5
S. Rathan-Mayes S. Rathan-Mayes G 9 26.4 8.3 2.9 1.8 0.1 0.0 1.2 1.3 10.6 74 2.2 3.6 41.7 42.9 100.0 0.69 272.5 54.2
C. Carter C. Carter G 1 29.0 8.0 3.0 6.0 2.0 0.0 2.0 0.0 17.0 62 2.3 10.2 0 0 0 0.63 0 0
G. Covington G. Covington - 2 22.5 6.5 3.0 0.5 0.5 0.0 1.0 2.0 7.5 - - - 25.0 0.0 0 -0.21 162.5 25.0
A. Nelson A. Nelson - 2 20.0 6.0 8.0 1.5 0.0 0.0 1.0 0.0 14.5 -94 -3.2 -4.6 0 0 0 0.5 0 0
M. Hunter M. Hunter - 29 18.9 5.7 3.0 0.7 0.4 0.1 0.6 1.3 8.0 -3 -0.1 -0.2 56.8 40.0 100.0 -0.16 216.5 62.2
W. Dunn W. Dunn - 22 14.9 5.5 2.7 0.3 0.2 0.6 0.7 0.6 7.9 -6 -0.2 -0.6 42.9 0.0 100.0 -0.43 403.2 42.9
B. Langdon B. Langdon - 2 24.0 5.0 0.5 4.0 0.0 0.0 0.5 0.0 9.0 - - - 0 0 0 0.64 0 0
C. Shelton C. Shelton - 26 11.0 4.1 1.7 0.3 0.2 0.0 0.3 0.5 5.4 -59 -2.0 -2.6 14.3 0.0 100.0 0.44 346.0 14.3
D. Wassler D. Wassler - 1 1.0 3.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0 - - - 0 0 0 - 0 0
Daniel Ogoro Daniel Ogoro G 9 16.9 2.6 2.2 0.7 0.1 0.0 1.0 1.2 3.3 - - - 45.5 20.0 0.0 -0.23 100.5 50.0
O. Long O. Long G 9 8.0 2.6 1.1 0.7 0.2 0.0 0.2 0.1 4.2 27 0.9 3.5 100.0 0 0 -0.01 1150.0 100.0
L. Chicone L. Chicone G 7 9.4 2.4 1.3 1.6 0.4 0.0 0.4 1.3 4.0 55 2.1 6.6 55.6 33.3 40.0 0.45 75.9 61.1
C. Benford C. Benford F 2 5.0 2.0 0.5 0.0 0.0 0.0 0.0 0.5 2.0 -3 -0.1 -0.6 100.0 0 0 -0.61 200.0 100.0
E. Newsome E. Newsome G 1 3.0 2.0 0.0 0.0 0.0 0.0 1.0 0.0 1.0 18 1.3 13.8 0 0 0 0.04 0 0
J. Thomas J. Thomas F 9 7.6 2.0 2.3 0.7 0.1 0.2 1.0 0.4 3.9 -291 -9.1 -14.1 75.0 0 0.0 1.05 202.7 75.0
M. Matas M. Matas - 1 10.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 16 1.1 9.3 0 0 0 0.24 0 0
J. Owens J. Owens - 9 6.8 1.6 0.8 0.0 0.1 0.2 0.6 0.0 2.1 6 0.5 2.9 0 0 0 -0.07 0 0
A. Vargo A. Vargo G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Cheick Traore Cheick Traore F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Lucarotti M. Lucarotti G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
J. Irwin J. Irwin F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
J. Manns J. Manns F 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 21 1.9 15.6 0 0 0 0.27 0 0
S. Sims S. Sims F 2 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -25 -1.9 -10.8 0 0 0 -0.39 0 0
D. BΓΆhm D. BΓΆhm F 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -51 -2.5 -8.7 0 0 0 -0.9 0 0
C. Williams C. Williams G 1 11.0 0.0 0.0 2.0 0.0 0.0 0.0 0.0 2.0 -43 -2.0 -6.0 0 0 0 1.18 0 0
T. Wyman T. Wyman - 1 3.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 27 3.0 19.2 0 0 0 0.04 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