🐻⬇️🏀

Juniata

Also known as: Juniata
Program History

Model Outputs

2025-2026
Catalog

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. HCA +62 elo More → 822 (#668) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -10.4 (#293) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. NetEff -19.0 More → 0.062 (#508) NetEff -19.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.9 More → 0.139 (#523) AdjNet -15.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.4 More → 0.126 (#525) AdjNet -16.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.4 | AdjD 66.4 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. AdjO 56.7 | AdjD 66.6 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 106 | GP 21 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