Kenyon Lords
Also known as: Kenyon Lords
Program History
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 → | 920 (#261) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 979 (#215) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 938 (#620) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.5 (#186) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -7.1 (#484) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.262 (#314) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.945 (#9) | NetEff +26.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.227 (#229) | AdjNet -10.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.221 (#229) | AdjNet -10.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.339 (#222) | AdjO 67.5 | AdjD 74.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.424 (#547) | AdjO 68.5 | AdjD 71.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.374 (#516) | 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 → | 0.375 (#526) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 994 (#373) | RD 92 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-02-04 | vs | Wooster | L | 61 - 62 |
| 2026-02-07 | @ | John Carroll | L | 72 - 98 |
| 2026-02-11 | vs | Wittenberg | L | 67 - 79 |
| 2026-02-14 | @ | Wabash | L | 79 - 86 |
| 2026-02-18 | vs | Oberlin | L | 59 - 78 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nicholas Graves | - | 5 | 33.5 | 18.0 | 6.0 | 2.2 | 0.6 | 0.0 | 1.6 | 12.8 | 12.4 | - | - | - | - | 43.8 | 25.0 | 93.5 | - | 58.0 | 47.7 |
| Marius Mazeika | - | 5 | 31.8 | 13.8 | 4.0 | 1.4 | 0.6 | 0.0 | 2.6 | 11.4 | 5.8 | - | - | - | - | 36.8 | 19.2 | 84.6 | - | 50.4 | 41.2 |
| Will McDonald | - | 5 | 27.9 | 12.2 | 3.2 | 0.6 | 0.8 | 0.0 | 0.6 | 11.0 | 5.2 | - | - | - | - | 38.2 | 38.1 | 50.0 | - | 52.9 | 52.7 |
| Langston Foster | - | 4 | 24.6 | 6.5 | 1.5 | 0.5 | 0.2 | 0.0 | 0.5 | 7.0 | 1.2 | - | - | - | - | 32.1 | 27.8 | 75.0 | - | 43.7 | 41.1 |
| Hudson Fuller | - | 1 | 17.5 | 6.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 8.0 | 1.0 | - | - | - | - | 25.0 | 40.0 | 0 | - | 37.5 | 37.5 |
| Charlie Heywood | - | 5 | 19.9 | 5.8 | 6.4 | 0.6 | 1.2 | 0.6 | 1.0 | 3.2 | 10.4 | - | - | - | - | 62.5 | 0 | 64.3 | - | 65.4 | 62.5 |
| Jackson Burke | - | 2 | 28.3 | 5.0 | 3.5 | 1.0 | 0.5 | 1.5 | 0.0 | 3.5 | 8.0 | - | - | - | - | 42.9 | 0.0 | 66.7 | - | 51.9 | 42.9 |
| Nick Nelson | - | 5 | 21.8 | 4.4 | 2.0 | 2.4 | 1.0 | 0.0 | 0.8 | 4.4 | 4.6 | - | - | - | - | 40.9 | 0.0 | 50.0 | - | 43.1 | 40.9 |
| Jack Corrigan Conaty | - | 5 | 16.3 | 2.6 | 1.6 | 0.6 | 0.4 | 0.0 | 1.0 | 4.2 | 0.0 | - | - | - | - | 19.0 | 20.0 | 100.0 | - | 29.7 | 26.2 |
| Lucas Friedman | - | 5 | 12.1 | 2.4 | 1.6 | 1.2 | 0.6 | 0.0 | 1.2 | 2.2 | 2.4 | - | - | - | - | 27.3 | 25.0 | 100.0 | - | 45.5 | 31.8 |
| Nick Valentino | - | 2 | 1.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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