Stonehill Skyhawks
Also known as: Stonehill Skyhawks
Program History
2026 Team Stats (33 games)
66.4
PPG
68.9
Opp
-2.4
Margin
41.5%
FG%
32.2%
3P%
68.6%
FT%
37.6
RPG
12.5
APG
13.0
TO
77.7
Pace
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 → | 801 (#327) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 741 (#347) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 922 (#293) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.7 (#327) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -10.1 (#310) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.235 (#297) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.259 (#325) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.401 (#280) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 749 (#341) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Hackett
|
- | 32 | 27.8 | 13.7 | 4.2 | 1.5 | 0.9 | 0.5 | 1.3 | 10.9 | 8.4 | -110 | -4.8 | -9.4 | 42.0 | 34.6 | 74.8 | -0.12 | 55.0 | 51.0 |
H. Koffi
|
- | 31 | 35.3 | 13.1 | 2.8 | 1.4 | 0.5 | 0.0 | 1.3 | 11.2 | 5.3 | -46 | -1.8 | -2.8 | 40.8 | 37.0 | 88.7 | -0.96 | 55.0 | 51.9 |
C. Stinson
|
- | 31 | 27.9 | 11.2 | 5.5 | 1.6 | 1.0 | 1.1 | 2.0 | 8.8 | 9.7 | -16 | -1.1 | -67.6 | 45.4 | 24.2 | 70.2 | 0.06 | 52.6 | 46.9 |
R. Tutic
|
F | 29 | 22.7 | 7.1 | 7.7 | 1.1 | 0.2 | 0.6 | 1.3 | 5.2 | 10.2 | -18 | -1.8 | -21.6 | 59.2 | 0 | 54.0 | -0.59 | 59.5 | 59.2 |
R. Espinal-Guzman
|
F | 32 | 23.7 | 6.2 | 5.0 | 1.3 | 0.2 | 0.9 | 1.6 | 6.1 | 6.0 | -84 | -3.5 | -7.0 | 38.1 | 27.0 | 66.0 | -1.57 | 46.3 | 43.3 |
E. Meuser
|
- | 19 | 19.8 | 6.1 | 4.9 | 0.9 | 0.5 | 0.7 | 1.2 | 5.6 | 6.5 | -8 | -0.6 | -2.0 | 38.7 | 27.6 | 60.0 | -0.04 | 48.7 | 46.2 |
R. Sunderland
|
- | 32 | 27.1 | 4.8 | 3.4 | 3.3 | 1.2 | 0.4 | 2.4 | 5.3 | 5.4 | -6 | -0.2 | -0.5 | 32.0 | 27.7 | 61.8 | 0.12 | 41.3 | 38.8 |
T. Ruth
|
- | 31 | 10.9 | 3.3 | 1.2 | 1.2 | 0.3 | 0.0 | 0.7 | 3.6 | 1.6 | -10 | -0.5 | -2.5 | 31.9 | 25.0 | 63.0 | -0.62 | 40.4 | 37.2 |
P. McGuinn
|
- | 24 | 9.6 | 2.8 | 1.7 | 0.3 | 0.0 | 0.2 | 0.6 | 2.5 | 1.9 | -21 | -1.0 | -5.4 | 40.7 | 25.0 | 78.9 | 0.09 | 49.7 | 44.1 |
A. Holden
|
- | 20 | 10.0 | 2.4 | 0.9 | 0.4 | 0.1 | 0.1 | 0.2 | 1.9 | 1.8 | 84 | 3.7 | 11.6 | 43.6 | 42.9 | 66.7 | 0.12 | 59.5 | 59.0 |
E. Montin
|
G | 2 | 4.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0 | 0.0 | 0.0 | 100.0 | 0 | 0.0 | 0.01 | 53.2 | 100.0 |
N. Jenpa
|
- | 6 | 2.8 | 0.8 | 0.8 | 0.2 | 0.3 | 0.0 | 0.5 | 1.2 | 0.5 | 0 | 0.0 | 0.0 | 28.6 | 20.0 | 0 | 0.05 | 35.7 | 35.7 |
C. Diamantis
|
- | 5 | 3.8 | 0.6 | 1.2 | 0.4 | 0.0 | 0.0 | 0.6 | 0.4 | 1.2 | 5 | 1.2 | 91.6 | 0.0 | 0.0 | 60.0 | 0.01 | 35.7 | 0.0 |
C. Lovell
|
- | 11 | 5.9 | 0.6 | 1.0 | 0.1 | 0.2 | 0.0 | 0.1 | 0.7 | 1.1 | -10 | -0.9 | -9.7 | 37.5 | 0.0 | 33.3 | -0.32 | 37.6 | 37.5 |
W. Batchelder
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 8 | 2.7 | 6.0 | - | - | - | -0.26 | - | - |
C. Byrne
|
G | 2 | 2.0 | 0.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | 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