Pitt.-Greensburg
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 → | 1123 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1152 (#71) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1092 (#101) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.8 (#97) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.5 (#467) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.614 (#391) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.539 (#39) | NetEff +1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.266 (#480) | AdjNet -8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.259 (#483) | AdjNet -9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.353 (#484) | AdjO 73.9 | AdjD 80.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.576 (#249) | AdjO 75.0 | AdjD 71.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.510 (#385) | 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 → | 0.516 (#390) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1163 (#92) | RD 165 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-06 | @ | Pitt.-Bradford | W | 89 - 88 |
| 2026-01-21 | @ | La Roche | L | 77 - 80 |
| 2026-01-24 | @ | Alfred St. | W | 74 - 55 |
| 2026-01-28 | @ | Mount Aloysius | W | 102 - 77 |
| 2026-01-31 | vs | Penn St.-Behrend | W | 67 - 55 |
| 2026-02-07 | @ | Hilbert | W | 74 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Trent Rozich | - | 6 | 34.6 | 19.5 | 7.3 | 3.7 | 1.2 | 0.7 | 2.5 | 11.2 | 18.7 | -13 | -0.7 | -2.7 | 59.7 | 36.4 | 67.3 | -0.78 | 66.1 | 62.7 |
| Jackson Byer | - | 6 | 28.2 | 15.2 | 5.5 | 2.5 | 2.5 | 0.0 | 1.3 | 10.3 | 14.0 | 39 | 2.1 | 10.1 | 58.1 | 33.3 | 64.7 | 3.2 | 65.5 | 64.5 |
| Matthew Marinchak | - | 6 | 28.7 | 10.8 | 3.3 | 1.2 | 0.7 | 0.2 | 1.5 | 10.7 | 4.0 | -22 | -1.0 | -5.3 | 40.6 | 24.1 | 66.7 | 0.72 | 47.8 | 46.1 |
| Michael Bigley | - | 6 | 26.4 | 10.7 | 3.3 | 3.2 | 0.3 | 0.0 | 1.3 | 7.7 | 8.5 | -25 | -1.2 | -6.4 | 43.5 | 50.0 | 82.6 | -1.08 | 57.0 | 48.9 |
| Ty Keffer | - | 6 | 29.4 | 6.3 | 7.2 | 1.8 | 1.3 | 0.2 | 1.2 | 5.8 | 9.8 | -12 | -0.6 | -3.0 | 45.7 | 26.7 | 50.0 | 2.97 | 51.7 | 51.4 |
| Ben Thomas | - | 6 | 15.2 | 5.2 | 2.3 | 0.8 | 0.5 | 0.2 | 0.2 | 3.7 | 5.2 | - | - | - | 36.4 | 42.9 | 75.0 | - | 53.4 | 43.2 |
| Arkel Batts | - | 4 | 8.0 | 4.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.2 | 3.5 | 1.8 | 2 | 0.2 | 2.5 | 50.0 | 25.0 | 50.0 | 1.68 | 53.9 | 53.6 |
| Tyler Freas | - | 6 | 8.3 | 3.5 | 0.7 | 0.2 | 0.2 | 0.0 | 0.0 | 2.3 | 2.2 | -45 | -2.4 | -42.4 | 64.3 | 42.9 | 0 | -3.45 | 75.0 | 75.0 |
| Jahmir Collins | - | 6 | 8.2 | 2.2 | 1.5 | 1.0 | 0.3 | 0.2 | 0.7 | 2.3 | 2.2 | -24 | -1.3 | -19.0 | 35.7 | 20.0 | 100.0 | -0.87 | 43.7 | 39.3 |
| Ryan Greggerson | - | 6 | 3.9 | 1.7 | 1.0 | 0.0 | 0.2 | 0.2 | 0.3 | 1.2 | 1.5 | -8 | -0.6 | -15.7 | 57.1 | 0 | 100.0 | 0.17 | 63.5 | 57.1 |
| Joziah Wyatt-Taylor | - | 6 | 4.1 | 1.3 | 0.7 | 0.5 | 0.0 | 0.0 | 0.8 | 1.3 | 0.3 | -11 | -0.6 | -13.4 | 50.0 | 0 | 0.0 | -0.55 | 47.4 | 50.0 |
| Jason Flemm | - | 3 | 2.2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -15 | -2.5 | -118.8 | 100.0 | 100.0 | 0 | -0.33 | 150.0 | 150.0 |
| Ryan Kull | - | 2 | 2.0 | 1.0 | 0.5 | 0.5 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0 | 0.0 | 0.0 | 50.0 | 0 | 0.0 | -0.01 | 41.0 | 50.0 |
| Tylan McCune-Daniels | - | 3 | 1.9 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.0 | -6 | -0.7 | -23.2 | 50.0 | 0 | 0 | -1.19 | 50.0 | 50.0 |
| Justin Pierre-Paul | - | 4 | 4.8 | 0.2 | 1.2 | 0.5 | 0.0 | 0.0 | 0.2 | 1.0 | 0.8 | 0 | 0.0 | 0.0 | 0.0 | 0 | 50.0 | 0.86 | 10.2 | 0.0 |
| Jaydan Brown | - | 2 | 2.0 | 0.0 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 2.0 | 3 | 0.5 | 30.0 | 0 | 0 | 0 | -0.01 | 0 | 0 |
| Justin Chandler | - | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | -6 | -0.9 | -46.0 | 0.0 | 0.0 | 0 | -0.86 | 0.0 | 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