Juniata
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 → | 1026 (#182) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 904 (#465) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 822 (#668) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -10.4 (#293) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -12.8 (#526) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.127 (#619) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.062 (#508) | NetEff -19.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.139 (#523) | AdjNet -15.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.126 (#525) | AdjNet -16.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.287 (#514) | AdjO 56.4 | AdjD 66.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.289 (#612) | AdjO 56.7 | AdjD 66.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.212 (#591) | 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 → | 0.213 (#594) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 793 (#488) | RD 106 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Misericordia | L | 55 - 72 |
| 2025-11-08 | vs | Stevenson | L | 50 - 65 |
| 2025-11-13 | @ | Penn St.-Altoona | L | 73 - 77 |
| 2025-11-19 | @ | Susquehanna | L | 43 - 80 |
| 2025-11-22 | vs | Drew | L | 49 - 56 |
| 2025-12-03 | @ | Catholic | L | 38 - 77 |
| 2025-12-10 | @ | Messiah | L | 38 - 70 |
| 2025-12-20 | @ | Westminster (PA) | W | 56 - 50 |
| 2025-12-30 | vs | Chatham | L | 63 - 80 |
| 2026-01-10 | vs | Goucher | W | 72 - 51 |
| 2026-01-14 | @ | Elizabethtown | L | 54 - 75 |
| 2026-01-17 | @ | Moravian | L | 52 - 74 |
| 2026-01-21 | vs | Lycoming | L | 58 - 63 |
| 2026-01-24 | @ | Drew | L | 48 - 66 |
| 2026-01-28 | vs | Susquehanna | L | 49 - 80 |
| 2026-01-31 | @ | Scranton | L | 38 - 87 |
| 2026-02-04 | vs | Catholic | L | 67 - 73 |
| 2026-02-07 | vs | Wilkes | L | 61 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bri Bodtorf | - | 18 | 34.3 | 14.0 | 8.3 | 3.1 | 1.9 | 1.0 | 4.2 | 14.4 | 9.7 | -114 | -6.3 | -25.8 | 37.5 | 8.0 | 66.7 | -0.79 | 42.8 | 38.2 |
| Laney Gerdich | - | 18 | 26.6 | 8.9 | 4.6 | 1.0 | 0.4 | 0.2 | 1.7 | 7.3 | 6.1 | -20 | -1.1 | -6.3 | 48.1 | 0.0 | 75.6 | 2.77 | 53.1 | 48.1 |
| Olivia Berg | - | 18 | 30.3 | 8.0 | 1.8 | 0.9 | 0.7 | 0.3 | 2.3 | 8.3 | 1.1 | -79 | -4.4 | -22.1 | 32.7 | 32.9 | 66.7 | -3.36 | 44.5 | 42.0 |
| Emma Coolidge | - | 18 | 24.8 | 5.0 | 8.1 | 0.7 | 0.6 | 0.0 | 1.7 | 5.3 | 7.3 | -62 | -3.4 | -18.6 | 35.8 | 12.5 | 65.6 | -0.69 | 41.3 | 36.3 |
| Leah Skweres | - | 18 | 15.8 | 4.4 | 2.0 | 0.7 | 0.7 | 0.3 | 1.8 | 5.3 | 1.0 | -51 | -2.8 | -20.7 | 27.4 | 22.0 | 69.6 | -1.4 | 37.6 | 33.2 |
| Emily McCann | - | 18 | 22.8 | 3.9 | 3.0 | 1.2 | 0.4 | 0.2 | 2.1 | 5.6 | 0.9 | -52 | -2.9 | -19.6 | 22.8 | 23.8 | 77.8 | -2.24 | 32.1 | 27.7 |
| Makenna Hartman | - | 18 | 17.8 | 3.6 | 2.8 | 0.4 | 0.5 | 0.2 | 1.1 | 3.4 | 2.9 | -20 | -1.2 | -8.0 | 37.7 | 16.7 | 85.0 | -1.59 | 45.8 | 38.5 |
| Grace Harrison | - | 2 | 4.2 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3 | 1.5 | 22.3 | 50.0 | 100.0 | 50.0 | 0.38 | 69.4 | 75.0 |
| Michaela Owens | - | 17 | 11.0 | 1.9 | 0.5 | 0.6 | 0.1 | 0.0 | 1.2 | 2.2 | -0.4 | -2 | -0.1 | -1.2 | 23.7 | 28.6 | 90.0 | 1.0 | 38.9 | 31.6 |
| Gemma Navickas | - | 17 | 9.3 | 1.9 | 2.4 | 0.4 | 0.2 | 0.1 | 1.2 | 3.1 | 0.9 | -57 | -3.2 | -35.0 | 23.1 | 42.9 | 40.0 | -3.1 | 28.2 | 26.0 |
| Cate Clarke | - | 15 | 6.3 | 1.6 | 0.6 | 0.3 | 0.2 | 0.1 | 0.5 | 1.8 | 0.5 | -30 | -2.0 | -31.0 | 33.3 | 0.0 | 66.7 | -0.5 | 38.8 | 33.3 |
| Jenna Norton | - | 8 | 3.7 | 0.9 | 0.9 | 0.2 | 0.0 | 0.0 | 0.1 | 1.4 | 0.5 | -21 | -2.6 | -58.0 | 18.2 | 14.3 | 50.0 | -1.58 | 27.4 | 22.7 |
| Anastasia Ranalli | - | 3 | 2.4 | 0.7 | 1.0 | 0.0 | 0.0 | 0.3 | 0.0 | 1.0 | 1.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Natalie Osborne | - | 5 | 2.7 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | -0.6 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Emily Ladley | - | 4 | 3.1 | 0.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | -4 | -1.0 | -29.7 | 0.0 | 0.0 | 0 | 0.38 | 0.0 | 0.0 |
| Cate Clark | - | 1 | 9.9 | 0.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 3.0 | -1.0 | -4 | -4.0 | -16.4 | 0.0 | 0 | 0 | -0.31 | 0.0 | 0.0 |
| Maddison McGinnis | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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