Saint Michael's
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 → | 1118 (#33) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1127 (#83) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1012 (#227) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.5 (#132) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.5 (#354) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.517 (#326) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.969 (#140) | NetEff +30.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.554 (#392) | AdjNet +1.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.553 (#394) | AdjNet +1.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.519 (#407) | AdjO 76.5 | AdjD 75.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.465 (#370) | AdjO 69.0 | AdjD 70.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.507 (#311) | 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 → | 0.499 (#312) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1024 (#206) | RD 135 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | @ | American Int'l | W | 68 - 57 |
| 2026-01-24 | vs | Southern Conn. St. | W | 58 - 55 |
| 2026-01-27 | vs | Bentley | L | 83 - 94 |
| 2026-01-31 | @ | Assumption | W | 79 - 77 |
| 2026-02-04 | vs | Southern N.H. | L | 58 - 63 |
| 2026-02-07 | @ | Adelphi | L | 55 - 73 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zocko Littleton | - | 6 | 25.4 | 12.2 | 1.5 | 1.0 | 1.3 | 0.0 | 1.5 | 10.0 | 4.5 | 55 | 2.4 | 13.4 | 43.3 | 48.4 | 100.0 | 0.53 | 58.3 | 55.8 |
| Quintin Floyd | - | 6 | 32.1 | 11.8 | 4.0 | 3.2 | 1.0 | 0.2 | 0.7 | 9.8 | 9.7 | 70 | 3.0 | 16.7 | 42.4 | 30.4 | 70.0 | -1.0 | 52.4 | 48.3 |
| Latiek Briscoe Jr. | - | 6 | 30.4 | 10.2 | 5.8 | 1.7 | 1.2 | 0.5 | 2.5 | 11.7 | 5.2 | 38 | 1.7 | 9.3 | 28.6 | 31.0 | 80.0 | -0.37 | 39.8 | 35.0 |
| Greg Kenney | - | 6 | 26.8 | 8.3 | 3.0 | 0.3 | 1.5 | 1.0 | 0.3 | 6.0 | 7.8 | 101 | 3.9 | 24.2 | 44.4 | 29.4 | 92.9 | 0.93 | 59.3 | 51.4 |
| Nolan Marold | - | 6 | 21.6 | 7.3 | 2.3 | 0.8 | 0.7 | 1.0 | 1.0 | 4.0 | 7.2 | 108 | 4.2 | 30.8 | 66.7 | 0.0 | 70.6 | -0.07 | 69.9 | 66.7 |
| Abdur-Rahman De Leon | - | 6 | 19.0 | 5.2 | 3.0 | 0.3 | 0.2 | 0.2 | 0.2 | 3.3 | 5.3 | -24 | -1.0 | -8.5 | 55.0 | 37.5 | 75.0 | 0.13 | 65.9 | 62.5 |
| John Kelley | - | 6 | 14.9 | 4.5 | 5.2 | 0.7 | 0.0 | 0.0 | 0.8 | 3.2 | 6.3 | 15 | 0.7 | 9.1 | 42.1 | 0.0 | 91.7 | 1.04 | 55.6 | 42.1 |
| Raph Dumont | - | 4 | 11.1 | 3.5 | 2.0 | 1.0 | 0.0 | 0.0 | 1.5 | 4.8 | 0.2 | 4 | 0.2 | 2.4 | 26.3 | 10.0 | 50.0 | -2.11 | 32.3 | 28.9 |
| Rico Byrd | - | 2 | 4.2 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | 2.5 | -6 | -0.4 | -13.1 | 66.7 | 0 | 100.0 | 0.76 | 77.3 | 66.7 |
| Mac Kelly | - | 4 | 5.1 | 2.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.0 | 2.8 | 0.8 | -42 | -3.2 | -34.7 | 45.5 | 0.0 | 0 | -0.06 | 45.5 | 45.5 |
| TJ Henaghen | - | 6 | 13.9 | 2.0 | 1.5 | 0.5 | 0.0 | 0.3 | 0.8 | 2.5 | 1.0 | -26 | -1.2 | -11.9 | 26.7 | 30.0 | 100.0 | -3.22 | 38.9 | 36.7 |
| Marcus Meeks | - | 2 | 8.2 | 1.0 | 1.5 | 0.5 | 1.0 | 0.0 | 0.5 | 0.5 | 3.0 | -59 | -3.7 | -56.2 | 100.0 | 0 | 0 | 0.31 | 100.0 | 100.0 |
| Deng Aguek | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Sebastian Andersson | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Kalvin Catchings | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Tay Dzingou | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Braeden Elnicki | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Harry Geng | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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