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Marshall Thundering Herd

Also known as: Marshall Thundering Herd
Program History

2022 Team Stats (4 games)

78.5
PPG
76.3
Opp
-2.1
Margin
43.1%
FG%
29.3%
3P%
67.7%
FT%
39.0
RPG
12.5
APG
10.0
TO
85.2
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 → 1168 (#155) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1165 (#185) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 917 (#592) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +21.2 (#206) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +7.9 (#235) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.0 More → 0.760 (#44) NetEff +10.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 72.3 More → 0.489 (#267) AdjO 71.8 | AdjD 72.3
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 → 0.613 (#252) 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 → 0.577 (#257) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 31 More → 939 (#308) RD 135 | GP 31

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%
T. Kinsey T. Kinsey - 29 36.8 19.4 5.2 4.2 1.0 0.1 2.7 4.1 23.0 - - - 44.2 21.7 76.5 0.32 197.3 46.2
A. Taylor A. Taylor - 31 35.0 14.5 5.2 4.5 1.8 0.2 3.0 2.7 20.4 -112 -3.2 -3.9 38.6 28.6 72.7 0.11 256.1 44.6
M. Beyers M. Beyers F 4 24.8 12.8 5.5 1.0 1.0 1.0 1.5 10.2 9.5 -78 -2.7 -5.0 41.5 33.3 78.6 -0.28 54.1 48.8
Obinna Anochili-Killen Obinna Anochili-Killen F 31 27.1 11.2 6.5 0.9 1.0 2.7 1.4 2.5 18.5 -6 -0.2 -0.3 44.7 22.7 70.8 0.88 200.4 48.0
D. George D. George F 7 19.7 8.1 2.3 0.4 0.7 0.3 0.4 3.4 8.0 -30 -1.0 -2.2 62.5 37.5 57.1 0.38 94.5 68.8
E. Winchester E. Winchester G 1 32.0 8.0 4.0 3.0 1.0 0.0 2.0 0.0 14.0 71 2.3 4.1 0 0 0 0.43 0 0
David Early David Early - 6 21.5 5.5 2.7 1.0 0.8 0.0 0.5 2.2 7.3 -70 -2.2 -4.7 38.5 40.0 75.0 -0.15 111.8 53.8
G. Miladinovic G. Miladinovic - 28 15.1 4.5 3.9 0.3 0.4 0.5 0.9 0.5 8.2 11 0.4 1.0 35.7 42.9 75.0 0.57 396.6 46.4
M. Sarenac M. Sarenac - 27 14.0 4.1 1.4 0.5 0.4 0.5 0.6 0.6 5.8 10 0.4 1.0 37.5 33.3 66.7 0.51 320.4 53.1
Kyle Braun Kyle Braun - 14 13.6 3.3 1.4 1.1 0.4 0.1 0.6 0.1 5.6 1 0.1 0.2 50.0 50.0 0 0.1 1150.0 75.0
Aymeric Toussaint Aymeric Toussaint - 26 9.9 3.2 1.7 0.2 0.2 0.2 0.8 0.5 4.2 -9 -0.3 -1.3 84.6 0 83.3 0.36 268.5 84.6
B. Baruti B. Baruti F 1 8.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 105 3.3 8.8 0 0 0 0.91 0 0
C. McKey C. McKey F 2 20.0 1.0 3.5 0.5 1.0 0.5 1.5 0.0 5.0 -29 -1.6 -6.2 0 0 0 -0.25 0 0
W. Fricks W. Fricks F 2 9.5 0.0 1.0 0.0 0.5 1.0 0.5 0.0 2.0 - - - 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