Bluefield St.
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 → | 967 (#286) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 890 (#452) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1126 (#52) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.3 (#246) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.9 (#191) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.489 (#342) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.526 (#250) | NetEff +1.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.557 (#389) | AdjNet +2.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.560 (#389) | AdjNet +2.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.545 (#381) | AdjO 83.1 | AdjD 81.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.606 (#139) | AdjO 73.1 | AdjD 68.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.706 (#134) | 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 → | 0.697 (#136) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1202 (#48) | RD 155 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | @ | Virginia Union | W | 75 - 57 |
| 2026-01-23 | vs | Lincoln (PA) | W | 65 - 62 |
| 2026-01-31 | @ | Virginia St. | L | 59 - 60 |
| 2026-02-02 | vs | Concord | W | 83 - 77 |
| 2026-02-07 | vs | Bowie St. | W | 75 - 73 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Davenport | - | 5 | 35.0 | 22.0 | 4.0 | 0.8 | 0.8 | 0.0 | 0.8 | 13.6 | 13.2 | -32 | -1.5 | -7.5 | 47.1 | 51.6 | 85.7 | 0.27 | 65.9 | 58.8 |
| Warren Mouganda | - | 5 | 31.1 | 13.8 | 7.4 | 1.4 | 1.0 | 0.0 | 2.2 | 10.4 | 11.0 | 22 | 1.6 | 6.9 | 48.1 | 25.0 | 81.0 | 2.86 | 56.3 | 50.0 |
| Ellija Preddy | - | 5 | 36.5 | 9.8 | 4.4 | 5.2 | 2.0 | 0.2 | 1.2 | 11.6 | 8.8 | 2 | 0.1 | 0.4 | 37.9 | 16.7 | 66.7 | -0.79 | 40.4 | 38.8 |
| Myles Pierre | - | 5 | 25.0 | 8.6 | 4.4 | 0.2 | 0.2 | 0.2 | 1.0 | 10.8 | 1.8 | -41 | -1.9 | -7.9 | 24.1 | 28.6 | 84.6 | -0.09 | 36.0 | 29.6 |
| Anthony Latty | - | 5 | 33.1 | 7.8 | 7.0 | 0.2 | 0.2 | 1.0 | 0.8 | 4.4 | 11.0 | -2 | -0.1 | -0.4 | 63.6 | 0 | 55.0 | -0.36 | 63.3 | 63.6 |
| Sila Tako | - | 5 | 13.2 | 4.2 | 1.8 | 0.6 | 0.4 | 0.0 | 1.0 | 3.2 | 2.8 | -63 | -3.0 | -32.2 | 43.8 | 20.0 | 54.5 | -0.73 | 50.4 | 46.9 |
| Kyree Smith | - | 5 | 15.5 | 3.4 | 1.6 | 0.8 | 0.8 | 0.4 | 0.8 | 3.4 | 2.8 | -14 | -0.6 | -5.0 | 47.1 | 0.0 | 25.0 | -1.01 | 45.3 | 47.1 |
| Todd Dumphord II | - | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | -0.53 | 50.0 | 50.0 |
| Maurice Crump | - | 1 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
| Pharoah Lassiter | - | 4 | 4.8 | 1.0 | 1.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | 1.0 | -2 | -0.1 | -1.3 | 33.3 | 0.0 | 100.0 | -0.45 | 51.5 | 33.3 |
| Kemar Benn | - | 4 | 2.9 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -10 | -0.6 | -44.0 | 50.0 | 0 | 0 | -2.25 | 50.0 | 50.0 |
| Jalen Baker | - | 2 | 2.7 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.5 | 28 | 2.5 | 160.8 | 0.0 | 0.0 | 0 | -0.99 | 0.0 | 0.0 |
| Amare Haynie | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | -2.0 | 11 | 2.2 | 314.3 | 0.0 | 0.0 | 0 | -0.41 | 0.0 | 0.0 |
| Josiah Watkins | - | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4 | 0.7 | 114.3 | 0 | 0 | 0 | -0.41 | 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