Merrimack Warriors
2026 Team Stats (28 games)
67.0
PPG
62.2
Opp
+4.8
Margin
40.3%
FG%
29.2%
3P%
70.7%
FT%
39.6
RPG
14.5
APG
16.9
TO
85.0
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1080 (#90) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.4 (#208) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.560 (#162) | AdjO 64.9 | AdjD 62.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.688 (#205) | 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 → | 0.674 (#198) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1093 (#144) | RD 122 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Roman
|
F | 28 | 32.7 | 14.7 | 11.5 | 3.0 | 1.4 | 0.3 | 3.4 | 10.4 | 17.1 | 73 | 3.3 | 4.7 | 50.7 | 23.9 | 64.5 | -0.93 | 56.7 | 52.6 |
M. Fiore
|
G | 7 | 28.0 | 12.7 | 5.0 | 1.3 | 1.3 | 0.3 | 1.9 | 10.4 | 8.3 | 31 | 3.1 | 3.7 | 53.4 | 33.3 | 50.0 | 0.64 | 57.5 | 57.5 |
L. Melaschenko
|
G | 28 | 32.6 | 11.1 | 2.9 | 1.6 | 1.3 | 0.0 | 1.7 | 10.4 | 4.8 | - | - | - | 33.7 | 35.1 | 81.4 | - | 50.0 | 47.3 |
O. Kiefer
|
F | 26 | 29.3 | 10.0 | 5.4 | 1.6 | 0.5 | 2.3 | 1.7 | 10.0 | 8.1 | 58 | 2.9 | 4.7 | 38.6 | 25.8 | 76.6 | -0.51 | 46.3 | 43.1 |
P. Garcia
|
G | 28 | 27.4 | 9.2 | 5.3 | 3.6 | 2.7 | 0.4 | 3.5 | 8.8 | 8.9 | 106 | 5.0 | 9.3 | 35.4 | 17.8 | 81.5 | 1.2 | 44.9 | 37.0 |
S. Reddick
|
G | 26 | 30.1 | 7.8 | 4.8 | 2.5 | 1.0 | 0.3 | 2.3 | 7.5 | 6.7 | 33 | 1.6 | 2.4 | 44.1 | 26.9 | 66.7 | 1.66 | 48.1 | 45.9 |
M. Manion
|
G | 28 | 22.1 | 5.2 | 2.0 | 0.9 | 0.4 | 0.4 | 1.1 | 5.0 | 2.9 | 51 | 2.3 | 4.7 | 44.3 | 34.9 | 33.3 | 0.34 | 52.0 | 52.1 |
J. Williams
|
G | 27 | 10.6 | 4.1 | 1.0 | 0.5 | 0.3 | 0.1 | 1.3 | 3.7 | 0.9 | -14 | -0.6 | -1.0 | 36.0 | 27.5 | 65.5 | -0.89 | 48.8 | 45.5 |
D. Shishkina
|
G | 18 | 9.8 | 3.6 | 1.6 | 0.6 | 0.3 | 0.1 | 1.1 | 3.3 | 1.7 | 27 | 3.4 | 15.8 | 35.0 | 23.5 | 81.8 | 3.1 | 45.9 | 38.3 |
K. Fears
|
F | 5 | 5.2 | 0.8 | 0.8 | 0.4 | 0.2 | 0.0 | 0.6 | 1.4 | 0.2 | 6 | 1.2 | 9.7 | 28.6 | 0.0 | 0 | -0.69 | 28.6 | 28.6 |
D. Skelton
|
G | 12 | 3.4 | 0.6 | 0.2 | 0.0 | 0.1 | 0.1 | 0.2 | 0.8 | -0.1 | 6 | 1.0 | 8.1 | 20.0 | 22.2 | 25.0 | 0.39 | 29.8 | 30.0 |
K. Kelley
|
G | 14 | 2.4 | 0.4 | 0.6 | 0.0 | 0.2 | 0.1 | 0.0 | 0.8 | 0.5 | - | - | - | 18.2 | 10.0 | 0 | - | 22.7 | 22.7 |
M. Thomas
|
G | 21 | 5.2 | 0.4 | 0.5 | 0.4 | 0.1 | 0.0 | 0.5 | 1.0 | 0.0 | 24 | 1.5 | 6.7 | 20.0 | 0.0 | 0.0 | 0.27 | 19.2 | 20.0 |
C. Gallegos
|
F | 10 | 2.4 | 0.2 | 0.6 | 0.0 | 0.0 | 0.2 | 0.3 | 0.4 | 0.3 | 3 | 0.6 | 17.3 | 25.0 | 0 | 0 | 0.86 | 25.0 | 25.0 |
C. Johnson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 82 | 3.6 | 10.9 | - | - | - | 3.84 | - | - |
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