Colgate Raiders
2026 Team Stats (30 games)
75.2
PPG
75.0
Opp
+0.2
Margin
47.2%
FG%
36.1%
3P%
76.0%
FT%
33.7
RPG
13.8
APG
10.2
TO
75.9
Pace
74.0
AdjO
78.7
AdjD
#231
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 → | 914 (#244) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 974 (#208) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 999 (#196) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.8 (#235) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.4 (#299) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.477 (#194) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.337 (#213) | NetEff -5.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.328 (#232) | AdjNet -6.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.324 (#233) | AdjNet -6.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.394 (#231) | AdjO 74.0 | AdjD 78.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.486 (#305) | AdjO 74.5 | AdjD 75.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.652 (#250) | 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 → | 0.610 (#253) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 987 (#249) | RD 145 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Cox
|
G | 28 | 34.6 | 18.1 | 5.0 | 4.9 | 1.5 | 0.3 | 2.3 | 13.1 | 14.3 | 46 | 2.0 | 3.1 | 51.1 | 36.0 | 86.2 | 0.29 | 59.5 | 53.5 |
Andrew Alekseyenko
|
- | 30 | 30.0 | 14.3 | 6.8 | 2.3 | 0.8 | 0.2 | 2.3 | 11.4 | 10.6 | 61 | 2.7 | 5.3 | 48.4 | 36.8 | 75.9 | -0.45 | 56.7 | 53.5 |
S. Wright
|
F | 30 | 26.0 | 12.4 | 4.3 | 0.8 | 0.5 | 0.1 | 1.0 | 9.6 | 7.5 | 6 | 0.3 | 0.6 | 49.8 | 31.6 | 62.0 | -0.14 | 57.6 | 56.1 |
B. Tweedy
|
G | 30 | 29.5 | 8.9 | 3.0 | 2.6 | 0.6 | 0.0 | 1.3 | 6.5 | 7.2 | 47 | 3.6 | 18.6 | 44.4 | 36.5 | 72.8 | -0.25 | 57.8 | 53.3 |
K. Carlesimo
|
G | 30 | 24.5 | 8.0 | 2.5 | 1.0 | 0.9 | 0.2 | 0.8 | 7.1 | 4.7 | 42 | 1.8 | 5.3 | 40.7 | 37.8 | 84.6 | -0.07 | 54.8 | 53.7 |
J. Ahayere
|
G | 29 | 25.4 | 7.9 | 3.6 | 1.2 | 0.8 | 0.2 | 0.8 | 5.4 | 7.5 | 85 | 3.9 | 9.5 | 48.1 | 37.9 | 75.7 | 0.09 | 60.3 | 55.1 |
B. Cummins
|
G | 17 | 17.1 | 3.9 | 1.1 | 0.9 | 0.4 | 0.0 | 0.6 | 3.9 | 1.6 | -31 | -1.9 | -5.8 | 31.3 | 32.3 | 93.3 | -0.36 | 44.8 | 38.8 |
Ayomi Odetoyinbo
|
- | 30 | 10.8 | 1.9 | 2.4 | 0.2 | 0.1 | 1.2 | 0.4 | 1.5 | 4.0 | 69 | 3.6 | 66.1 | 55.6 | 0.0 | 54.5 | 0.24 | 56.2 | 55.6 |
E. Brown
|
- | 15 | 8.4 | 1.6 | 1.3 | 0.1 | 0.1 | 0.5 | 0.3 | 1.3 | 2.1 | -33 | -2.8 | -26.5 | 26.3 | 25.0 | 80.0 | -0.53 | 46.9 | 31.6 |
J. Niv
|
- | 6 | 2.5 | 1.5 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 0.7 | 1.0 | 15 | 3.8 | 262.8 | 75.0 | 100.0 | 0 | 0.02 | 112.5 | 112.5 |
C. Wright
|
F | 27 | 12.3 | 1.3 | 1.8 | 0.7 | 0.4 | 0.4 | 0.4 | 1.1 | 3.1 | 8 | 0.5 | 2.1 | 53.3 | 0 | 42.9 | -0.49 | 52.9 | 53.3 |
C. Brennan
|
F | 11 | 4.3 | 1.3 | 0.8 | 0.0 | 0.2 | 0.5 | 0.5 | 1.3 | 1.0 | 23 | 3.8 | 75.1 | 35.7 | 0.0 | 100.0 | 0.09 | 44.4 | 35.7 |
C. Pugh
|
- | 6 | 2.5 | 1.0 | 0.2 | 0.3 | 0.0 | 0.2 | 0.2 | 0.3 | 1.2 | -8 | -4.0 | -215.7 | 100.0 | 100.0 | 0 | -0.05 | 150.0 | 150.0 |
P. Jones
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -17 | -4.2 | -75.4 | - | - | - | -0.02 | - | - |
S. Clark
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 148 | 9.9 | 15.1 | - | - | - | 1.17 | - | - |
B. Forrest
|
G | 0 | - | 0.0 | 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