Alas. Anchorage
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 → | 1048 (#110) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1147 (#71) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1116 (#63) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.7 (#67) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.3 (#132) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.705 (#211) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.973 (#137) | NetEff +31.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.794 (#237) | AdjNet +11.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.802 (#232) | AdjNet +12.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.681 (#249) | AdjO 72.2 | AdjD 63.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.695 (#76) | AdjO 71.0 | AdjD 61.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.756 (#97) | 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 → | 0.755 (#89) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1215 (#41) | RD 136 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-22 | vs | Seattle Pacific | W | 54 - 50 |
| 2026-01-24 | vs | Mont. St. Billings | W | 84 - 70 |
| 2026-01-29 | @ | Western Wash. | L | 75 - 84 |
| 2026-01-31 | @ | Simon Fraser | W | 69 - 54 |
| 2026-02-05 | vs | Central Wash. | W | 77 - 70 |
| 2026-02-07 | vs | Northwest Nazarene | W | 71 - 53 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hasaan Herrington | - | 6 | 33.7 | 16.0 | 3.7 | 7.0 | 1.5 | 0.0 | 2.5 | 10.8 | 14.8 | 170 | 7.1 | 28.0 | 47.7 | 44.0 | 88.5 | 1.89 | 62.8 | 56.2 |
| Bishop Tosi | - | 6 | 30.8 | 16.0 | 6.2 | 1.8 | 0.0 | 0.3 | 0.7 | 9.7 | 14.0 | 117 | 4.9 | 19.8 | 67.2 | 40.0 | 61.5 | 1.66 | 69.1 | 69.0 |
| Sylas Williams | - | 6 | 35.6 | 15.8 | 9.7 | 2.0 | 0.5 | 1.3 | 0.7 | 13.7 | 15.0 | 171 | 8.1 | 31.0 | 45.1 | 31.2 | 68.8 | 2.38 | 53.3 | 51.2 |
| Akok Machar | - | 6 | 33.1 | 7.5 | 4.7 | 3.0 | 2.5 | 0.5 | 1.5 | 7.5 | 9.2 | 68 | 2.8 | 10.7 | 42.2 | 18.2 | 83.3 | 0.26 | 47.2 | 44.4 |
| Zach Ibbetson | - | 5 | 10.5 | 4.4 | 0.8 | 0.4 | 0.2 | 0.0 | 0.6 | 2.6 | 2.6 | -55 | -2.6 | -26.7 | 61.5 | 62.5 | 50.0 | 0.1 | 79.3 | 80.8 |
| Luke Johnston | - | 6 | 24.0 | 4.2 | 1.5 | 2.5 | 1.0 | 0.0 | 0.8 | 5.0 | 3.3 | - | - | - | 30.0 | 29.2 | 0 | - | 41.7 | 41.7 |
| Cole Johnson | - | 6 | 24.0 | 4.2 | 1.5 | 2.5 | 1.0 | 0.0 | 0.8 | 5.0 | 3.3 | 92 | 3.8 | 18.9 | 30.0 | 29.2 | 0 | 0.18 | 41.7 | 41.7 |
| Elijah Mobley | - | 6 | 15.0 | 4.2 | 2.7 | 1.3 | 0.5 | 0.3 | 1.2 | 3.3 | 4.5 | -20 | -0.8 | -6.3 | 45.0 | 0.0 | 58.3 | 3.32 | 49.4 | 45.0 |
| John McFadden | - | 6 | 9.7 | 3.0 | 1.7 | 0.7 | 0.8 | 0.7 | 0.5 | 2.5 | 3.8 | -28 | -1.2 | -11.5 | 46.7 | 0 | 80.0 | 0.02 | 52.3 | 46.7 |
| Jeremiah Coleman | - | 6 | 5.1 | 1.0 | 0.7 | 0.3 | 0.7 | 0.2 | 0.3 | 1.2 | 1.3 | -35 | -1.8 | -46.2 | 28.6 | 0.0 | 100.0 | -1.15 | 38.1 | 28.6 |
| Jesse Stines | - | 4 | 5.8 | 0.5 | 1.0 | 0.2 | 0.2 | 0.5 | 0.5 | 0.5 | 1.5 | -3 | -0.1 | -1.8 | 0.0 | 0.0 | 66.7 | -2.14 | 30.1 | 0.0 |
| Parker Kroon | - | 1 | 2.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3 | -0.3 | -9.1 | 0 | 0 | 0 | -1.72 | 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