Merrimack Warriors
2025 Team Stats (3 games)
63.0
PPG
62.0
Opp
+1.0
Margin
37.4%
FG%
23.5%
3P%
82.3%
FT%
35.3
RPG
13.0
APG
14.3
TO
77.8
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-11 | vs | New Hampshire Wildcats | W | 59 - 49 |
| 2025-03-13 | @ | Siena Saints | W | 79 - 72 |
| 2025-03-14 | @ | Quinnipiac Bobcats | L | 51 - 65 |
2025 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. Shepard
|
G | 3 | 38.0 | 20.3 | 6.0 | 1.7 | 1.7 | 0.0 | 2.7 | 15.3 | 11.7 | -21 | -0.7 | -0.8 | 41.3 | 25.0 | 90.9 | 0.53 | 54.8 | 44.6 |
P. Garcia
|
G | 3 | 31.3 | 13.7 | 5.0 | 3.0 | 2.0 | 0.3 | 4.7 | 8.7 | 10.7 | -20 | -0.6 | -0.9 | 65.4 | 42.9 | 80.0 | 0.35 | 72.7 | 71.2 |
R. Caso
|
F | 3 | 32.7 | 8.3 | 8.0 | 1.7 | 0.3 | 0.3 | 1.7 | 7.7 | 9.3 | -27 | -0.8 | -1.3 | 17.4 | 37.5 | 77.8 | 0.58 | 40.4 | 23.9 |
D. Jenkins
|
G | 1 | 19.0 | 8.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 8.0 | 0.0 | -13 | -0.9 | -3.0 | 37.5 | 33.3 | 0 | -0.29 | 50.0 | 50.0 |
L. Melaschenko
|
G | 3 | 26.3 | 6.3 | 0.3 | 1.0 | 0.7 | 0.0 | 0.3 | 6.3 | 1.7 | - | - | - | 21.1 | 21.1 | 77.8 | - | 41.4 | 31.6 |
M. Roman
|
F | 3 | 22.7 | 5.7 | 5.0 | 3.7 | 0.7 | 0.0 | 1.7 | 3.3 | 10.0 | -36 | -1.2 | -1.6 | 60.0 | 0 | 83.3 | -0.11 | 67.2 | 60.0 |
M. Manion
|
G | 2 | 23.5 | 4.0 | 1.5 | 1.0 | 0.0 | 0.5 | 1.0 | 5.0 | 1.0 | -18 | -0.6 | -1.2 | 40.0 | 0.0 | 0 | 0.25 | 40.0 | 40.0 |
M. Fiore
|
G | 2 | 24.0 | 4.0 | 3.0 | 1.5 | 0.5 | 0.5 | 1.0 | 8.0 | 0.5 | -42 | -1.6 | -2.0 | 18.8 | 11.1 | 50.0 | -0.1 | 23.7 | 21.9 |
D. Shishkina
|
G | 1 | 13.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | -3.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
C. Gallegos
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6 | 0.3 | 1.7 | 0 | 0 | 0 | 0.16 | 0 | 0 |
C. Johnson
|
F | 1 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -1.0 | 21 | 0.7 | 1.0 | 0 | 0 | 0 | 0.93 | 0 | 0 |
K. Fears
|
F | 2 | 5.5 | 0.0 | 1.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 2.5 | 13 | 0.5 | 1.8 | 0 | 0 | 0 | 0.09 | 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