Carson-Newman
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 → | 1111 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1121 (#93) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1038 (#147) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.0 (#125) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.1 (#170) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.623 (#272) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.865 (#209) | NetEff +17.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.755 (#265) | AdjNet +9.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.790 (#243) | AdjNet +11.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.700 (#232) | AdjO 86.6 | AdjD 77.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.628 (#118) | AdjO 74.5 | AdjD 68.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.691 (#146) | 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 → | 0.680 (#148) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1128 (#93) | RD 96 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-15 | vs | King (TN) | - | Incomplete score |
| 2025-11-16 | vs | Lees-McRae | - | Incomplete score |
| 2025-11-22 | @ | Lander | - | Incomplete score |
| 2025-11-26 | @ | North Georgia | - | Incomplete score |
| 2025-11-29 | vs | Augusta | - | Incomplete score |
| 2025-12-06 | @ | Coker | - | Incomplete score |
| 2025-12-10 | @ | Tusculum | - | Incomplete score |
| 2025-12-13 | vs | Anderson (SC) | - | Incomplete score |
| 2025-12-17 | vs | UVA Wise | - | Incomplete score |
| 2025-12-20 | @ | Wingate | - | Incomplete score |
| 2025-12-31 | vs | Tenn. Wesleyan | - | Incomplete score |
| 2026-01-03 | vs | Catawba | - | Incomplete score |
| 2026-01-07 | @ | Emory & Henry | - | Incomplete score |
| 2026-01-10 | @ | Lenoir-Rhyne | - | Incomplete score |
| 2026-01-14 | vs | Lincoln Memorial | - | Incomplete score |
| 2026-01-17 | vs | Newberry | - | Incomplete score |
| 2026-01-21 | @ | Mars Hill | - | Incomplete score |
| 2026-01-23 | @ | Catawba | - | Incomplete score |
| 2026-01-28 | vs | Tusculum | - | Incomplete score |
| 2026-01-30 | vs | Coker | - | Incomplete score |
| 2026-02-04 | @ | UVA Wise | - | Incomplete score |
| 2026-02-07 | @ | Anderson (SC) | - | Incomplete score |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jack Browder | - | 22 | 38.8 | 23.3 | 9.8 | 3.0 | 1.1 | 1.0 | 2.6 | 15.9 | 19.7 | 32 | 1.5 | 6.2 | 43.7 | 34.4 | 86.6 | 0.89 | 59.3 | 50.1 |
| Matt Bilbrey | - | 22 | 33.2 | 14.3 | 2.6 | 4.0 | 1.0 | 0.2 | 2.4 | 11.5 | 8.1 | 4 | 0.2 | 0.9 | 44.7 | 40.0 | 72.9 | 1.08 | 57.5 | 55.3 |
| Rylan Houck | - | 22 | 31.9 | 10.5 | 6.2 | 1.9 | 0.9 | 0.1 | 1.9 | 7.5 | 10.1 | -30 | -1.4 | -6.3 | 52.4 | 38.0 | 72.5 | -1.96 | 61.0 | 58.1 |
| Braden Ilic | - | 21 | 28.9 | 8.8 | 5.8 | 3.1 | 1.0 | 1.2 | 2.2 | 8.0 | 9.6 | 59 | 3.0 | 15.8 | 40.5 | 26.4 | 80.6 | 0.73 | 50.6 | 47.3 |
| Keliese Frye | - | 22 | 25.3 | 8.4 | 4.3 | 1.1 | 1.6 | 0.5 | 1.6 | 5.1 | 9.2 | 82 | 3.7 | 23.2 | 64.6 | 0 | 70.9 | 4.13 | 67.4 | 64.6 |
| Oli Smith | - | 8 | 19.7 | 7.6 | 4.0 | 1.2 | 0.9 | 0.8 | 1.4 | 5.1 | 8.0 | 21 | 2.6 | 42.0 | 39.0 | 28.6 | 72.4 | 1.55 | 56.7 | 48.8 |
| Colin Brown | - | 20 | 13.9 | 4.1 | 1.2 | 1.1 | 0.3 | 0.0 | 0.9 | 3.6 | 2.1 | -5 | -0.2 | -3.7 | 41.1 | 11.8 | 51.3 | -0.56 | 45.5 | 42.5 |
| Caiden Botts | - | 13 | 11.0 | 3.1 | 1.8 | 0.5 | 0.2 | 0.2 | 0.5 | 3.0 | 2.4 | 29 | 2.2 | 35.4 | 30.8 | 18.2 | 75.0 | 2.83 | 43.4 | 35.9 |
| Aivaras Uosis | - | 13 | 12.6 | 2.8 | 3.0 | 0.4 | 0.3 | 0.1 | 0.8 | 2.1 | 3.6 | -11 | -0.8 | -8.2 | 51.9 | 21.4 | 62.5 | -1.79 | 59.0 | 57.4 |
| David Gorianskii | - | 6 | 5.5 | 1.8 | 1.2 | 0.3 | 0.0 | 0.8 | 0.0 | 1.0 | 3.2 | 0 | 0.0 | 0.0 | 83.3 | 0 | 33.3 | 0.23 | 75.1 | 83.3 |
| Isaac Stamper | - | 19 | 8.4 | 1.2 | 1.6 | 0.5 | 0.0 | 0.1 | 0.7 | 1.9 | 0.7 | 9 | 0.5 | 11.1 | 19.4 | 16.7 | 80.0 | -0.22 | 28.8 | 25.0 |
| Gaas Herman | - | 2 | 3.9 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 0.0 | -2 | -2.0 | -10.4 | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Shamir Caruthers | - | 6 | 4.3 | 0.7 | 0.2 | 0.3 | 0.8 | 0.0 | 0.5 | 1.0 | 0.5 | -11 | -2.2 | -23.9 | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
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