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 |
|---|---|---|---|---|
| 2025-11-08 | vs | Bethany (WV) | W | 67 - 66 |
| 2025-11-25 | vs | Bluffton | W | 73 - 60 |
| 2025-12-13 | vs | Ohio Wesleyan | W | 76 - 56 |
| 2025-12-30 | @ | Wash. & Lee | L | 62 - 66 |
| 2026-01-10 | vs | John Carroll | L | 67 - 88 |
| 2026-01-14 | @ | Wittenberg | L | 44 - 64 |
| 2026-01-17 | vs | Wabash | L | 70 - 75 |
| 2026-01-21 | @ | Oberlin | W | 78 - 72 |
| 2026-01-28 | @ | Ohio Wesleyan | W | 69 - 61 |
| 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Marius Mazeika | - | 14 | 30.2 | 13.0 | 4.2 | 1.6 | 0.6 | 0.1 | 1.6 | 10.6 | 7.4 | - | - | - | - | 45.3 | 27.5 | 77.3 | - | 54.4 | 50.0 |
| Langston Foster | - | 12 | 29.0 | 11.2 | 2.2 | 1.3 | 0.5 | 0.2 | 1.2 | 9.7 | 4.4 | - | - | - | - | 42.2 | 34.4 | 66.7 | - | 53.5 | 51.7 |
| Nicholas Graves | - | 14 | 30.7 | 10.4 | 5.3 | 1.6 | 0.6 | 0.0 | 1.7 | 9.0 | 7.1 | - | - | - | - | 36.5 | 23.4 | 93.3 | - | 49.7 | 40.9 |
| Jackson Burke | - | 11 | 27.2 | 9.1 | 5.7 | 2.0 | 0.5 | 1.4 | 0.8 | 6.1 | 11.8 | - | - | - | - | 52.2 | 29.6 | 71.0 | - | 62.0 | 58.2 |
| Will McDonald | - | 13 | 20.2 | 7.9 | 2.2 | 0.5 | 0.7 | 0.0 | 0.5 | 7.4 | 3.4 | - | - | - | - | 35.4 | 35.4 | 63.6 | - | 51.1 | 50.0 |
| Bence Lendvay | - | 7 | 12.7 | 6.1 | 3.1 | 0.4 | 1.0 | 0.6 | 1.1 | 4.9 | 5.3 | - | - | - | - | 50.0 | 36.4 | 71.4 | - | 58.0 | 55.9 |
| Charlie Heywood | - | 7 | 15.3 | 4.7 | 4.9 | 0.6 | 1.0 | 0.4 | 0.7 | 2.6 | 8.3 | - | - | - | - | 66.7 | 0 | 64.3 | - | 68.3 | 66.7 |
| Nick Nelson | - | 14 | 21.1 | 4.5 | 2.9 | 2.1 | 1.1 | 0.0 | 1.6 | 3.9 | 5.0 | - | - | - | - | 43.6 | 0.0 | 42.9 | - | 44.7 | 43.6 |
| Nick Valentino | - | 9 | 7.2 | 2.9 | 0.7 | 0.3 | 0.4 | 0.0 | 0.4 | 1.7 | 2.2 | - | - | - | - | 53.3 | 50.0 | 69.2 | - | 62.7 | 56.7 |
| Hudson Fuller | - | 5 | 6.1 | 2.6 | 1.6 | 0.0 | 0.2 | 0.2 | 0.4 | 2.0 | 2.2 | - | - | - | - | 40.0 | 50.0 | 100.0 | - | 59.7 | 55.0 |
| Jack Corrigan Conaty | - | 8 | 13.4 | 2.6 | 1.2 | 0.4 | 0.9 | 0.1 | 0.8 | 3.8 | 0.8 | - | - | - | - | 23.3 | 25.0 | 100.0 | - | 34.0 | 31.7 |
| Ashton Bjerke | - | 5 | 7.2 | 2.4 | 0.4 | 0.2 | 0.0 | 0.0 | 0.6 | 1.8 | 0.6 | - | - | - | - | 22.2 | 22.2 | 85.7 | - | 49.7 | 33.3 |
| Jackson Maloney | - | 3 | 15.8 | 2.0 | 2.0 | 1.7 | 0.0 | 0.0 | 0.3 | 3.3 | 2.0 | - | - | - | - | 20.0 | 12.5 | 100.0 | - | 28.7 | 25.0 |
| Lucas Friedman | - | 14 | 10.4 | 1.9 | 1.0 | 0.9 | 0.7 | 0.0 | 0.9 | 1.6 | 2.0 | - | - | - | - | 40.9 | 16.7 | 70.0 | - | 49.2 | 43.2 |
| Patrick Graves | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Henry Brandt | - | 1 | 0.0 | 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
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