Monmouth Hawks
2026 Team Stats (31 games)
63.7
PPG
59.1
Opp
+4.6
Margin
40.9%
FG%
28.2%
3P%
67.5%
FT%
37.5
RPG
11.9
APG
16.2
TO
80.8
Pace
59.0
AdjO
63.2
AdjD
#210
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 → | 1049 (#148) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 983 (#186) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1062 (#110) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.4 (#212) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.3 (#170) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.576 (#145) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.557 (#158) | NetEff +1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.338 (#211) | AdjNet -5.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.332 (#209) | AdjNet -6.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.406 (#210) | AdjO 59.0 | AdjD 63.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.594 (#130) | AdjO 64.1 | AdjD 60.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.746 (#170) | 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 → | 0.724 (#160) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1109 (#132) | RD 104 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Gamble
|
G | 29 | 32.5 | 16.0 | 2.3 | 1.6 | 1.1 | 0.1 | 2.2 | 14.3 | 4.6 | 95 | 5.3 | 8.1 | 40.7 | 34.0 | 72.6 | 1.89 | 51.2 | 48.4 |
D. Dibula
|
F | 31 | 26.1 | 13.9 | 6.9 | 1.1 | 1.0 | 1.1 | 3.1 | 9.9 | 10.9 | 95 | 4.5 | 8.0 | 58.2 | 0.0 | 74.0 | 2.44 | 61.4 | 58.2 |
A. Andrews
|
G | 31 | 34.9 | 11.1 | 2.5 | 2.2 | 1.1 | 0.1 | 2.3 | 11.5 | 3.1 | 58 | 2.8 | 3.9 | 32.1 | 26.1 | 69.0 | -0.17 | 43.0 | 38.6 |
A. Davis
|
F | 29 | 19.1 | 6.6 | 5.8 | 0.7 | 0.4 | 0.3 | 1.5 | 4.9 | 7.3 | -1 | -0.1 | -0.5 | 43.4 | 0.0 | 65.3 | -0.24 | 50.7 | 43.4 |
K. Kersaint
|
G | 30 | 23.6 | 5.8 | 4.4 | 1.0 | 1.2 | 0.5 | 1.6 | 5.0 | 6.3 | 41 | 2.3 | 5.1 | 41.1 | 34.0 | 52.3 | 0.24 | 48.4 | 46.4 |
M. Amaro
|
G | 30 | 32.2 | 5.3 | 4.3 | 3.7 | 1.6 | 0.4 | 2.7 | 5.6 | 6.9 | 61 | 3.2 | 4.6 | 32.0 | 24.0 | 70.8 | 0.6 | 42.1 | 37.3 |
E. Farrelly
|
F | 31 | 28.5 | 4.1 | 6.0 | 1.3 | 0.7 | 0.8 | 1.2 | 4.2 | 7.4 | 28 | 1.3 | 2.5 | 38.5 | 20.7 | 58.3 | 0.01 | 44.8 | 43.1 |
F. Djalo
|
G | 8 | 11.2 | 3.6 | 0.9 | 1.2 | 0.8 | 0.1 | 1.8 | 2.5 | 2.4 | -18 | -2.2 | -10.4 | 55.0 | 50.0 | 80.0 | -1.83 | 65.3 | 62.5 |
T. Carman
|
G | 3 | 14.3 | 3.0 | 4.3 | 0.3 | 1.3 | 0.3 | 1.0 | 4.7 | 3.7 | 11 | 2.8 | 144.3 | 28.6 | 14.3 | 0 | -0.04 | 32.1 | 32.1 |
A. Webster
|
G | 5 | 5.4 | 2.6 | 1.2 | 0.6 | 0.6 | 0.2 | 0.8 | 2.6 | 1.8 | -3 | -0.8 | -29.3 | 38.5 | 33.3 | 100.0 | 0.91 | 46.8 | 42.3 |
K. Preira
|
G | 18 | 10.1 | 2.1 | 0.7 | 0.5 | 0.4 | 0.2 | 0.4 | 2.7 | 0.7 | 9 | 0.5 | 3.8 | 26.5 | 23.8 | 33.3 | -3.7 | 36.8 | 36.7 |
I. Murray
|
G | 3 | 5.7 | 0.7 | 1.0 | 0.7 | 0.3 | 0.0 | 0.3 | 1.3 | 1.0 | 21 | 7.0 | 225.0 | 25.0 | 0 | 0 | -0.38 | 25.0 | 25.0 |
S. Hendrix
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Rebecca Milon
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Claudia Xaudaro
|
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