Hampton
2026 Team Stats (32 games)
69.9
PPG
70.8
Opp
-0.9
Margin
41.4%
FG%
29.4%
3P%
71.7%
FT%
36.1
RPG
12.1
APG
11.2
TO
78.6
Pace
67.5
AdjO
75.0
AdjD
#271
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 → | 847 (#295) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 904 (#250) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#343) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 937 (#613) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -7.1 (#270) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.7 (#293) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -19.1 (#594) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.338 (#266) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.589 (#146) | NetEff +3.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.226 (#279) | AdjNet -10.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.221 (#279) | AdjNet -10.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.337 (#271) | AdjO 67.5 | AdjD 75.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.442 (#520) | AdjO 69.7 | AdjD 72.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.420 (#575) | AdjO 72.4 | AdjD 76.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.594 (#289) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.269 (#506) | 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 → | 0.547 (#289) | 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 → | 0.302 (#503) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 957 (#282) | RD 148 | GP 32 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 948 (#300) | RD 350 | GP 1 |
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. Eley
|
G | 23 | 18.0 | 11.7 | 3.2 | 0.7 | 0.6 | 0.1 | 0.6 | 8.9 | 6.7 | -49 | -2.7 | -9.9 | 46.8 | 28.4 | 86.4 | -0.61 | 58.0 | 52.9 |
J. Gaines-Wyatt
|
G | 29 | 25.2 | 11.1 | 1.4 | 2.8 | 0.7 | 0.1 | 2.2 | 8.0 | 5.9 | -32 | -1.5 | -4.0 | 39.9 | 26.1 | 78.3 | -0.79 | 53.9 | 43.8 |
D. Johnson
|
G | 32 | 24.8 | 10.0 | 4.9 | 0.7 | 1.0 | 0.5 | 0.8 | 9.3 | 7.0 | -33 | -1.4 | -4.6 | 39.9 | 32.2 | 73.0 | -0.38 | 49.3 | 46.1 |
X. Long
|
F | 30 | 34.6 | 9.8 | 9.6 | 1.9 | 1.1 | 0.6 | 2.0 | 7.4 | 13.6 | -71 | -3.1 | -7.8 | 41.6 | 25.0 | 67.7 | -0.82 | 52.7 | 46.4 |
J. Ogundele
|
F | 27 | 17.1 | 6.4 | 3.4 | 0.6 | 0.5 | 0.5 | 1.1 | 4.1 | 6.1 | -20 | -1.1 | -3.6 | 55.0 | 40.0 | 60.5 | 0.07 | 59.5 | 56.8 |
C. Watson
|
G | 26 | 17.0 | 5.8 | 2.0 | 1.0 | 0.4 | 0.1 | 0.9 | 4.9 | 3.4 | - | - | - | 39.1 | 27.1 | 79.2 | - | 50.6 | 44.1 |
E. Strothers
|
G | 32 | 18.1 | 5.8 | 1.6 | 1.6 | 1.0 | 0.4 | 1.2 | 5.1 | 4.3 | -20 | -0.8 | -4.4 | 37.7 | 32.1 | 72.7 | -0.42 | 50.2 | 45.4 |
E. Kennedy
|
- | 23 | 12.5 | 4.7 | 1.8 | 0.8 | 0.8 | 0.2 | 0.4 | 4.2 | 3.7 | 40 | 2.1 | 15.5 | 44.8 | 29.4 | 57.1 | 0.26 | 51.3 | 50.0 |
Quintin Cooper
|
- | 27 | 8.6 | 3.6 | 1.1 | 0.6 | 0.2 | 0.1 | 0.5 | 4.1 | 1.0 | 11 | 0.6 | 4.6 | 37.5 | 16.1 | 56.2 | 0.12 | 41.2 | 39.7 |
Aidan Haskins
|
- | 30 | 10.9 | 3.0 | 1.3 | 0.6 | 0.1 | 0.0 | 0.2 | 2.9 | 2.1 | 7 | 0.3 | 2.0 | 37.2 | 39.7 | 50.0 | -0.18 | 51.8 | 51.7 |
K. Williams
|
- | 29 | 16.0 | 2.7 | 1.0 | 1.6 | 0.5 | 0.0 | 0.6 | 3.0 | 2.2 | 199 | 10.5 | 21.6 | 29.5 | 22.9 | 72.7 | 2.04 | 40.4 | 35.8 |
E. Rink
|
F | 30 | 11.7 | 1.9 | 1.9 | 0.2 | 0.3 | 0.7 | 0.4 | 1.4 | 3.2 | -19 | -0.8 | -7.3 | 63.4 | 0 | 42.9 | -0.67 | 61.5 | 63.4 |
K. Lewis
|
- | 9 | 5.4 | 1.6 | 0.8 | 0.2 | 0.1 | 0.0 | 0.3 | 1.2 | 1.1 | 6 | 1.0 | 10.8 | 36.4 | 42.9 | 42.9 | -0.03 | 49.7 | 50.0 |
H. Asadallah
|
- | 9 | 3.0 | 0.7 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | 0 | 0.0 | 0.0 | 33.3 | 40.0 | 0 | -0.02 | 50.0 | 50.0 |
P. Oduro
|
F | 25 | 6.1 | 0.6 | 1.0 | 0.1 | 0.0 | 0.0 | 0.1 | 0.8 | 0.7 | -27 | -1.6 | -16.7 | 28.6 | 0.0 | 50.0 | -0.17 | 30.8 | 28.6 |
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