Point Loma
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 → | 1066 (#85) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1200 (#39) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1126 (#51) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.5 (#38) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.5 (#200) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.739 (#189) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.994 (#75) | NetEff +45.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.858 (#192) | AdjNet +15.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.862 (#190) | AdjNet +15.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.748 (#183) | AdjO 81.4 | AdjD 69.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.671 (#86) | AdjO 77.1 | AdjD 69.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.732 (#112) | 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 → | 0.730 (#106) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1210 (#44) | RD 107 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | @ | Cal St. Dom. Hills | W | 90 - 82 |
| 2025-11-15 | vs | CSUSB | W | 87 - 66 |
| 2025-11-19 | vs | Cal St. San Marcos | W | 75 - 61 |
| 2025-11-22 | vs | Stanton | W | 101 - 67 |
| 2025-11-28 | vs | Central Wash. | W | 94 - 78 |
| 2025-11-29 | @ | Seattle Pacific | L | 73 - 80 |
| 2025-12-04 | @ | Jessup | W | 89 - 87 |
| 2025-12-06 | @ | Fresno Pacific | W | 85 - 63 |
| 2025-12-10 | @ | Biola | W | 74 - 70 |
| 2025-12-13 | vs | Dominican (CA) | L | 73 - 92 |
| 2025-12-20 | @ | Azusa Pacific | L | 73 - 75 |
| 2026-01-01 | @ | Dominican (CA) | W | 87 - 62 |
| 2026-01-03 | @ | Menlo | W | 74 - 51 |
| 2026-01-08 | vs | Jessup | W | 92 - 83 |
| 2026-01-10 | @ | CUI | W | 74 - 64 |
| 2026-01-13 | vs | Biola | W | 81 - 61 |
| 2026-01-17 | vs | Azusa Pacific | W | 90 - 82 |
| 2026-01-24 | @ | Vanguard | L | 67 - 76 |
| 2026-01-29 | vs | Chaminade | W | 77 - 52 |
| 2026-01-31 | vs | Fresno Pacific | W | 69 - 54 |
| 2026-02-05 | vs | Menlo | W | 91 - 68 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Nagy | - | 21 | 24.3 | 15.5 | 6.1 | 1.5 | 0.6 | 0.7 | 1.7 | 10.4 | 12.3 | 149 | 7.8 | 49.9 | 62.4 | 31.6 | 70.7 | 4.34 | 66.7 | 65.1 |
| James Nobles | - | 21 | 27.5 | 11.6 | 4.6 | 1.3 | 0.9 | 0.6 | 1.7 | 7.9 | 9.4 | 110 | 5.5 | 34.8 | 47.6 | 36.1 | 75.6 | -0.42 | 60.7 | 55.4 |
| Andrew Hommes | - | 21 | 28.3 | 11.4 | 5.8 | 2.0 | 0.7 | 1.8 | 1.5 | 7.7 | 12.5 | 139 | 7.0 | 37.2 | 47.8 | 37.2 | 80.6 | 1.47 | 63.5 | 58.7 |
| Jaden Matingou | - | 20 | 28.1 | 11.2 | 4.2 | 4.0 | 1.0 | 0.1 | 2.4 | 7.4 | 10.8 | 181 | 9.1 | 52.1 | 49.3 | 34.0 | 72.4 | 2.28 | 60.4 | 54.7 |
| Tyce Paulsen | - | 20 | 28.7 | 10.9 | 3.5 | 2.1 | 1.4 | 0.7 | 1.4 | 7.8 | 9.3 | 70 | 3.7 | 17.9 | 45.2 | 40.2 | 92.1 | 0.23 | 62.7 | 58.3 |
| Caden Harris | - | 20 | 20.9 | 8.5 | 2.4 | 1.2 | 0.9 | 0.2 | 1.6 | 7.7 | 3.9 | 70 | 3.9 | 26.6 | 38.3 | 30.1 | 71.4 | -0.66 | 49.3 | 45.5 |
| Jake Lifgren | - | 17 | 19.1 | 6.2 | 2.2 | 1.9 | 0.5 | 0.1 | 0.8 | 5.3 | 4.9 | 64 | 4.0 | 42.9 | 45.6 | 32.6 | 58.8 | 2.99 | 54.4 | 53.3 |
| Judson Loe | - | 21 | 12.2 | 3.1 | 1.8 | 1.0 | 0.4 | 0.0 | 0.6 | 2.1 | 3.6 | 106 | 5.3 | 73.6 | 48.9 | 39.1 | 72.2 | 1.33 | 62.4 | 58.9 |
| Jack Wistrcill | - | 21 | 10.0 | 2.5 | 2.5 | 0.8 | 0.2 | 0.2 | 0.4 | 2.3 | 3.5 | 18 | 0.9 | 19.0 | 39.6 | 25.0 | 61.1 | 0.14 | 47.4 | 43.8 |
| David Scariano | - | 10 | 4.5 | 2.2 | 1.2 | 0.1 | 0.0 | 0.0 | 0.2 | 1.6 | 1.7 | 16 | 1.6 | 118.2 | 56.2 | 30.0 | 50.0 | 0.26 | 65.2 | 65.6 |
| Demari Davis | - | 16 | 5.0 | 1.8 | 1.0 | 0.6 | 0.1 | 0.1 | 0.5 | 1.8 | 1.3 | 8 | 0.5 | 14.3 | 46.4 | 28.6 | 0.0 | 0.27 | 49.2 | 50.0 |
| Nash Dunham | - | 5 | 3.8 | 1.4 | 0.2 | 0.2 | 0.4 | 0.0 | 0.4 | 0.8 | 1.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 65.8 | 50.0 |
| Jude Harris | - | 11 | 4.9 | 1.1 | 0.2 | 0.3 | 0.1 | 0.0 | 0.4 | 1.5 | -0.3 | 4 | 0.4 | 19.3 | 29.4 | 15.4 | 0 | -0.21 | 35.3 | 35.3 |
| Bobby Moore | - | 2 | 1.9 | 1.0 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 2.5 | 58 | 3.1 | 18.6 | 100.0 | 0 | 0 | -0.52 | 100.0 | 100.0 |
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