Penn St. Harrisburg
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 → | 887 (#421) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 827 (#522) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 965 (#544) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -22.7 (#371) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -19.0 (#595) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.537 (#435) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.089 (#491) | NetEff -15.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.094 (#552) | AdjNet -19.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.080 (#552) | AdjNet -20.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.249 (#544) | AdjO 56.4 | AdjD 68.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.303 (#602) | AdjO 55.0 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.167 (#622) | 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 → | 0.183 (#617) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 864 (#446) | RD 100 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Stockton | L | 54 - 65 |
| 2025-11-11 | @ | Marywood | L | 60 - 80 |
| 2025-11-15 | vs | Messiah | L | 33 - 63 |
| 2025-11-18 | @ | Gettysburg | L | 43 - 76 |
| 2025-11-21 | vs | Alvernia | L | 69 - 74 |
| 2025-11-25 | vs | Penn St. Brandywine | W | 64 - 51 |
| 2025-11-30 | @ | Drew | L | 33 - 69 |
| 2025-12-03 | vs | Wilson | L | 47 - 64 |
| 2025-12-13 | @ | Gwynedd Mercy | L | 39 - 63 |
| 2026-01-10 | vs | Gallaudet | W | 78 - 75 |
| 2026-01-13 | @ | Notre Dame (MD) | W | 63 - 53 |
| 2026-01-17 | @ | Penn College | L | 54 - 67 |
| 2026-01-21 | vs | Valley Forge | W | 81 - 35 |
| 2026-01-24 | @ | Cairn | W | 73 - 40 |
| 2026-01-31 | vs | Salisbury | L | 56 - 82 |
| 2026-02-02 | @ | St. Mary's (MD) | L | 47 - 78 |
| 2026-02-04 | @ | Penn St. Brandywine | W | 70 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mikayla Coleman | - | 16 | 28.3 | 15.3 | 2.3 | 1.4 | 1.5 | 0.2 | 3.4 | 16.1 | 1.2 | -134 | -7.9 | -55.9 | 36.4 | 27.9 | 62.2 | 0.34 | 44.1 | 42.1 |
| Lauren Moffatt | - | 17 | 30.7 | 10.5 | 8.7 | 1.7 | 1.8 | 0.6 | 2.2 | 8.9 | 12.2 | -123 | -6.8 | -36.1 | 39.1 | 27.3 | 82.1 | -1.75 | 49.6 | 41.1 |
| Akira Cho | - | 17 | 18.8 | 5.8 | 2.1 | 1.2 | 0.9 | 0.1 | 2.1 | 5.9 | 2.2 | -44 | -2.4 | -19.3 | 31.7 | 35.7 | 71.4 | -1.13 | 47.6 | 46.5 |
| Nicole Hernandez | - | 17 | 22.0 | 5.6 | 4.4 | 0.7 | 0.5 | 0.9 | 1.6 | 5.1 | 5.5 | -101 | -6.3 | -30.6 | 39.1 | 25.0 | 78.6 | 2.58 | 48.3 | 42.5 |
| Sarah Skaggs | - | 6 | 20.8 | 5.0 | 3.2 | 1.5 | 0.8 | 0.5 | 1.2 | 2.2 | 7.7 | -30 | -6.0 | -17.8 | 84.6 | 100.0 | 75.0 | -1.18 | 101.6 | 103.8 |
| Azaria Bryant Johnso | - | 3 | 8.0 | 4.7 | 2.7 | 0.0 | 1.0 | 0.0 | 0.7 | 3.7 | 4.0 | - | - | - | 36.4 | 25.0 | 45.5 | - | 44.2 | 40.9 |
| Molli Hogbin | - | 15 | 11.7 | 4.3 | 4.6 | 0.4 | 0.2 | 1.2 | 0.8 | 4.7 | 5.1 | -77 | -4.5 | -53.6 | 40.8 | 0.0 | 37.5 | -3.9 | 41.0 | 40.8 |
| Allison Metzgar | - | 16 | 17.3 | 4.1 | 1.4 | 0.8 | 0.6 | 0.2 | 2.0 | 5.5 | -0.3 | -114 | -6.7 | -57.2 | 28.4 | 21.7 | 37.5 | -0.37 | 36.1 | 35.8 |
| Kennadi Johnson | - | 15 | 18.7 | 3.1 | 1.2 | 0.7 | 0.9 | 0.1 | 0.9 | 3.7 | 1.4 | -123 | -7.7 | -61.1 | 26.8 | 27.8 | 100.0 | -2.8 | 41.3 | 40.2 |
| Brookelynn Carr | - | 17 | 20.9 | 2.9 | 2.4 | 1.2 | 1.4 | 0.0 | 3.4 | 3.8 | 0.6 | -118 | -6.9 | -49.4 | 24.6 | 12.0 | 50.0 | -0.16 | 31.7 | 26.9 |
| Bre'ijha Painter | - | 9 | 18.9 | 2.8 | 3.4 | 1.4 | 0.7 | 0.1 | 3.4 | 2.8 | 2.2 | -65 | -8.1 | -84.7 | 28.0 | 40.0 | 64.3 | -0.33 | 40.1 | 32.0 |
| Azaria Bryant Franklin | - | 8 | 8.5 | 2.5 | 1.5 | 0.6 | 0.4 | 0.1 | 1.5 | 2.0 | 1.6 | 11 | 1.1 | 13.4 | 37.5 | 100.0 | 55.6 | 0.74 | 50.1 | 46.9 |
| JP Ferguson | - | 15 | 12.6 | 1.7 | 2.2 | 1.3 | 1.7 | 0.0 | 1.7 | 1.9 | 3.4 | -73 | -4.6 | -32.1 | 35.7 | 23.1 | 50.0 | -3.52 | 42.0 | 41.1 |
| Sam Shaak | - | 3 | 9.6 | 0.7 | 1.3 | 0.3 | 0.3 | 0.0 | 0.7 | 1.7 | 0.3 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
| Azaria Bryant Johnson | - | 5 | 7.2 | 0.6 | 2.2 | 0.4 | 0.2 | 0.0 | 0.6 | 2.6 | 0.2 | -47 | -15.7 | -1359.0 | 7.7 | 0.0 | 50.0 | -0.8 | 10.8 | 7.7 |
| Amelia Hemler | - | 5 | 5.1 | 0.0 | 0.8 | 0.2 | 0.2 | 0.0 | 0.2 | 0.4 | 0.6 | -8 | -1.6 | -148.8 | 0.0 | 0 | 0 | 0.25 | 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