Marist Red Foxes
2026 Team Stats (29 games)
68.9
PPG
63.6
Opp
+5.3
Margin
43.9%
FG%
32.7%
3P%
78.6%
FT%
35.4
RPG
15.0
APG
11.1
TO
75.5
Pace
66.8
AdjO
68.8
AdjD
#190
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 → | 1078 (#121) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 997 (#184) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#151) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.1 (#192) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.9 (#202) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.703 (#66) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.024 (#351) | NetEff -31.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.445 (#185) | AdjNet -1.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.443 (#184) | AdjNet -2.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.454 (#190) | AdjO 66.8 | AdjD 68.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.574 (#145) | AdjO 68.9 | AdjD 65.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.735 (#193) | 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 → | 0.702 (#189) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1045 (#196) | RD 146 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Menard
|
- | 29 | 29.2 | 13.1 | 2.8 | 3.7 | 1.3 | 0.1 | 2.1 | 10.2 | 8.7 | 136 | 6.2 | 10.5 | 45.4 | 38.0 | 93.5 | 0.74 | 59.0 | 54.6 |
R. Blackwell
|
- | 29 | 30.1 | 12.0 | 3.7 | 1.9 | 0.8 | 0.0 | 1.4 | 10.1 | 6.9 | 86 | 3.9 | 6.3 | 40.8 | 36.5 | 92.6 | -0.19 | 53.9 | 48.6 |
E. Lewis
|
- | 22 | 29.5 | 11.3 | 4.4 | 2.1 | 1.0 | 0.2 | 1.1 | 8.5 | 9.3 | 92 | 3.8 | 6.4 | 46.8 | 25.6 | 84.7 | 0.09 | 56.4 | 49.7 |
J. Schofield
|
- | 24 | 16.9 | 7.9 | 3.9 | 1.2 | 0.5 | 0.7 | 0.9 | 6.5 | 6.8 | 35 | 1.7 | 4.6 | 52.9 | 0 | 69.4 | 0.19 | 55.3 | 52.9 |
J. Collins-Roberts
|
- | 29 | 30.8 | 7.6 | 4.7 | 3.0 | 1.3 | 0.1 | 2.2 | 6.7 | 7.7 | 92 | 3.8 | 6.6 | 44.8 | 22.5 | 81.8 | -0.0 | 51.3 | 47.2 |
T. Watson
|
- | 9 | 11.0 | 5.3 | 2.2 | 0.2 | 0.2 | 0.0 | 0.4 | 5.1 | 2.4 | -26 | -2.6 | -10.4 | 43.5 | 0 | 80.0 | -0.61 | 47.6 | 43.5 |
P. Kabamba
|
- | 29 | 17.2 | 5.3 | 3.1 | 0.9 | 0.4 | 0.6 | 0.6 | 5.2 | 4.4 | 76 | 3.5 | 11.3 | 40.1 | 31.4 | 60.0 | 0.39 | 48.2 | 47.4 |
J. Daughtry
|
- | 28 | 21.6 | 5.2 | 5.6 | 1.6 | 1.2 | 1.0 | 1.4 | 5.1 | 8.2 | 67 | 2.8 | 7.7 | 39.4 | 21.3 | 52.2 | 0.13 | 45.0 | 43.0 |
Myles Parker
|
- | 29 | 14.8 | 5.2 | 2.5 | 0.7 | 0.8 | 0.1 | 0.5 | 3.8 | 5.0 | 62 | 3.0 | 9.9 | 45.5 | 37.3 | 78.6 | 0.17 | 61.3 | 58.2 |
Jordan Gabriel
|
- | 23 | 7.0 | 2.5 | 1.7 | 0.3 | 0.2 | 0.4 | 0.3 | 1.9 | 2.9 | 47 | 3.4 | 20.6 | 55.8 | 0.0 | 45.5 | 0.19 | 55.0 | 55.8 |
R. McKenzie
|
- | 9 | 5.4 | 1.4 | 0.6 | 0.1 | 0.0 | 0.0 | 0.1 | 1.6 | 0.4 | -8 | -0.9 | -9.2 | 28.6 | 42.9 | 100.0 | -0.14 | 43.7 | 39.3 |
M. Kawa
|
- | 21 | 7.0 | 1.2 | 0.5 | 0.2 | 0.1 | 0.1 | 0.1 | 1.3 | 0.8 | 23 | 1.5 | 14.0 | 25.0 | 18.8 | 90.0 | 0.2 | 40.1 | 30.4 |
T. Salton
|
- | 20 | 7.6 | 1.1 | 1.3 | 0.2 | 0.2 | 0.3 | 0.3 | 1.1 | 1.9 | 4 | 0.2 | 6.3 | 33.3 | 33.3 | 66.7 | 0.06 | 44.4 | 40.5 |
A. Vlogianitis
|
- | 8 | 2.1 | 0.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.4 | 0.4 | -0.2 | -6 | -1.0 | -24.4 | 0.0 | 0 | 0 | -0.04 | 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