New Hampshire
2026 Team Stats (29 games)
68.6
PPG
74.3
Opp
-5.7
Margin
40.5%
FG%
30.9%
3P%
66.9%
FT%
35.1
RPG
11.4
APG
11.2
TO
79.1
Pace
65.7
AdjO
80.8
AdjD
#347
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 → | 782 (#334) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 724 (#350) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 873 (#690) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -15.3 (#346) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.7 (#387) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.173 (#339) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.693 (#113) | NetEff +7.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.076 (#346) | AdjNet -21.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.073 (#346) | AdjNet -22.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.202 (#347) | AdjO 65.7 | AdjD 80.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.370 (#659) | AdjO 69.6 | AdjD 75.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.406 (#399) | 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 → | 0.374 (#429) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 773 (#683) | RD 149 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Belal El Shakery
|
F | 28 | 26.5 | 11.2 | 8.1 | 1.5 | 1.1 | 0.7 | 2.1 | 10.9 | 9.5 | 4 | 0.2 | 0.3 | 42.6 | 6.1 | 49.0 | -0.36 | 44.6 | 43.0 |
J. Graham
|
- | 29 | 27.7 | 11.1 | 3.0 | 0.9 | 1.1 | 0.3 | 1.3 | 9.7 | 5.4 | 41 | 2.7 | 6.6 | 40.9 | 32.7 | 67.9 | 0.32 | 52.8 | 50.7 |
K. Robinson
|
- | 25 | 25.3 | 10.3 | 1.6 | 2.4 | 0.5 | 0.0 | 1.6 | 8.5 | 4.7 | 11 | 0.5 | 1.1 | 39.2 | 28.0 | 84.6 | -0.14 | 52.4 | 45.3 |
C. Emuobor
|
- | 27 | 18.9 | 9.0 | 4.4 | 0.6 | 0.6 | 0.1 | 1.5 | 8.3 | 5.0 | -64 | -3.2 | -7.6 | 41.3 | 10.7 | 65.5 | -0.71 | 46.6 | 42.0 |
Tyler Bike
|
- | 29 | 24.1 | 7.4 | 1.7 | 2.1 | 0.8 | 0.0 | 0.8 | 6.3 | 4.9 | 2 | 0.1 | 0.2 | 35.5 | 37.1 | 70.8 | -0.04 | 52.9 | 49.7 |
D. Poser
|
- | 29 | 28.3 | 7.1 | 2.8 | 1.6 | 0.8 | 0.1 | 0.6 | 7.1 | 4.7 | -33 | -1.5 | -3.2 | 34.3 | 32.9 | 61.5 | 0.04 | 48.7 | 48.1 |
J. Squire
|
- | 29 | 27.0 | 6.2 | 5.7 | 1.4 | 0.7 | 0.6 | 1.2 | 4.0 | 9.3 | -10 | -0.5 | -0.8 | 59.0 | 28.6 | 62.7 | -0.45 | 62.6 | 60.7 |
R. Kennedy
|
- | 29 | 19.3 | 5.1 | 1.8 | 0.8 | 0.5 | 0.1 | 1.1 | 4.8 | 2.3 | -10 | -0.5 | -1.0 | 35.3 | 32.1 | 75.9 | -0.32 | 48.4 | 45.0 |
Giannos Xanthopoulos
|
- | 28 | 6.5 | 1.8 | 1.9 | 0.1 | 0.2 | 0.3 | 0.4 | 1.4 | 2.4 | -9 | -0.4 | -2.9 | 42.5 | 30.8 | 91.7 | -0.23 | 54.1 | 47.5 |
D. Saunders
|
- | 14 | 2.9 | 1.4 | 0.5 | 0.1 | 0.0 | 0.1 | 0.1 | 0.8 | 1.2 | -1 | -0.1 | -2.9 | 54.5 | 60.0 | 100.0 | -0.21 | 84.2 | 81.8 |
A. Siewruk
|
- | 5 | 3.8 | 1.4 | 1.2 | 0.4 | 0.0 | 0.0 | 0.2 | 1.4 | 1.4 | 13 | 2.6 | 100.6 | 42.9 | 33.3 | 0.0 | -0.15 | 47.0 | 50.0 |
J. O'Neill
|
- | 14 | 5.9 | 1.1 | 2.4 | 0.2 | 0.0 | 0.0 | 0.1 | 0.7 | 2.9 | 14 | 1.4 | 10.9 | 70.0 | 0 | 50.0 | 0.0 | 68.9 | 70.0 |
Myles Blackley
|
- | 11 | 3.7 | 0.7 | 0.3 | 0.3 | 0.2 | 0.1 | 0.1 | 1.2 | 0.3 | 38 | 6.3 | 209.2 | 15.4 | 0.0 | 100.0 | -0.1 | 27.1 | 15.4 |
N. Sanford
|
- | 6 | 1.7 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.3 | 0.2 | -0.2 | 3 | 0.8 | 29.4 | 0.0 | 0 | 0 | -0.01 | 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