Marshall Thundering Herd
2026 Team Stats (29 games)
81.4
PPG
78.5
Opp
+2.9
Margin
47.3%
FG%
37.2%
3P%
72.8%
FT%
36.1
RPG
17.0
APG
11.7
TO
81.1
Pace
77.8
AdjO
79.6
AdjD
#187
Rank
Model Outputs
2025-2026
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 → | 1062 (#130) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1034 (#147) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 983 (#545) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.1 (#193) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.6 (#223) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.557 (#141) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.999 (#1) | NetEff +74.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.437 (#187) | AdjNet -2.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.436 (#187) | AdjNet -2.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.459 (#187) | AdjO 77.8 | AdjD 79.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.533 (#198) | AdjO 78.9 | AdjD 77.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.715 (#212) | 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. More → | 0.675 (#210) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1031 (#207) | RD 148 | GP 29 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W. Fricks
|
F | 29 | 29.7 | 16.3 | 5.8 | 1.4 | 0.9 | 1.6 | 1.2 | 11.1 | 13.7 | 40 | 1.8 | 4.5 | 55.6 | 34.8 | 67.3 | 0.18 | 64.8 | 63.2 |
J. Speer
|
- | 29 | 32.3 | 15.2 | 4.1 | 5.6 | 1.2 | 0.1 | 2.4 | 13.1 | 10.8 | 51 | 2.3 | 3.9 | 38.2 | 37.1 | 81.2 | -0.05 | 52.9 | 49.1 |
Noah Otshudi
|
- | 28 | 31.4 | 14.2 | 3.4 | 3.5 | 0.9 | 0.0 | 2.7 | 11.5 | 7.9 | 14 | 0.6 | 1.1 | 46.4 | 31.2 | 83.9 | -0.53 | 54.7 | 49.5 |
Landen Joseph
|
- | 29 | 17.8 | 8.1 | 2.2 | 2.1 | 1.1 | 0.3 | 1.2 | 5.8 | 6.8 | 74 | 3.5 | 13.5 | 49.1 | 41.9 | 71.7 | 0.67 | 62.1 | 59.8 |
M. Van Komen
|
- | 19 | 20.1 | 7.6 | 7.1 | 0.5 | 0.3 | 2.4 | 1.7 | 4.2 | 11.9 | 52 | 2.4 | 6.1 | 77.2 | 0 | 75.9 | 0.24 | 78.5 | 77.2 |
Caleb Hollenbeck
|
- | 29 | 17.0 | 5.8 | 1.5 | 1.0 | 0.3 | 0.0 | 0.4 | 4.7 | 3.6 | 77 | 3.5 | 9.3 | 42.2 | 41.0 | 41.7 | 0.16 | 60.2 | 60.7 |
W. Dubinsky
|
- | 29 | 18.6 | 5.1 | 3.2 | 1.3 | 0.5 | 0.0 | 0.4 | 4.3 | 5.3 | 20 | 0.9 | 3.2 | 35.2 | 38.0 | 77.8 | -0.09 | 53.7 | 50.4 |
Shamarrie Hugie
|
- | 24 | 12.4 | 4.3 | 2.3 | 0.5 | 0.5 | 0.1 | 0.8 | 3.1 | 3.9 | -11 | -0.6 | -3.8 | 48.0 | 38.5 | 65.6 | -0.34 | 57.8 | 54.7 |
E. Harding
|
F | 29 | 14.7 | 3.6 | 2.8 | 0.5 | 0.3 | 0.6 | 0.8 | 2.3 | 4.7 | 16 | 0.7 | 3.0 | 61.8 | 0.0 | 46.7 | -0.17 | 59.8 | 61.8 |
A. Fuquay
|
- | 26 | 7.6 | 2.8 | 1.8 | 0.2 | 0.2 | 0.3 | 0.3 | 1.8 | 3.3 | - | - | - | 58.7 | 36.4 | 75.0 | - | 66.6 | 63.0 |
Bryce Slay
|
- | 22 | 9.1 | 2.3 | 1.1 | 0.6 | 0.4 | 0.1 | 0.3 | 2.1 | 2.2 | 23 | 1.1 | 7.1 | 30.4 | 35.7 | 86.7 | -0.08 | 48.5 | 41.3 |
G. Moore
|
G | 2 | 3.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | 0.5 | 5 | 2.5 | 30.3 | 33.3 | 33.3 | 0 | 0.03 | 50.0 | 50.0 |
K. Spears
|
G | 13 | 5.1 | 1.4 | 1.1 | 0.4 | 0.5 | 0.0 | 0.0 | 1.2 | 2.2 | 34 | 3.8 | 31.0 | 33.3 | 0.0 | 88.9 | 0.32 | 47.5 | 33.3 |
K. White
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Moore
|
G | 0 | - | 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