🐻⬇️🏀

Findlay

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Findlay
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 → 1059 (#88) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1190 (#43) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1118 (#61) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +17.1 (#30) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +15.7 (#92) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.761 (#178) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +27.4 More → 0.944 (#168) NetEff +27.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.5 More → 0.904 (#131) AdjNet +19.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.6 More → 0.908 (#130) AdjNet +19.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 89.5 | AdjD 74.2 More → 0.800 (#120) AdjO 89.5 | AdjD 74.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 89.0 | AdjD 76.4 More → 0.760 (#32) AdjO 89.0 | AdjD 76.4
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 → 0.824 (#47) 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 → 0.813 (#47) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 23 More → 1194 (#51) RD 96 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Truman St. W 103 - 79
2025-11-15 @ Quincy W 75 - 74
2025-11-19 vs Ferris St. W 102 - 70
2025-11-22 vs Gannon L 79 - 101
2025-11-25 vs Wayne St. (MI) W 95 - 81
2025-11-28 vs Bluffton W 123 - 73
2025-12-04 vs Thomas More W 88 - 74
2025-12-06 vs Ky. Wesleyan W 82 - 79
2025-12-11 @ Walsh L 98 - 103
2025-12-13 vs Northwood W 93 - 81
2025-12-18 vs Walsh L 68 - 77
2025-12-20 @ Davenport L 74 - 83
2025-12-30 vs Olivet W 95 - 70
2026-01-05 @ Ashland L 104 - 105
2026-01-08 @ Tiffin W 89 - 55
2026-01-10 @ Malone W 77 - 71
2026-01-15 vs Lake Erie L 94 - 99
2026-01-17 vs Ohio Dominican W 106 - 92
2026-01-22 vs Hillsdale L 72 - 78
2026-01-24 @ Lake Erie W 84 - 78
2026-01-29 @ Ky. Wesleyan L 73 - 86
2026-01-31 @ Cedarville W 82 - 75
2026-02-07 vs Tiffin W 96 - 76

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%
Mekhi Elmore - 23 23.0 12.7 2.9 1.3 1.5 0.0 1.7 9.6 7.1 39 1.7 9.5 48.4 42.3 87.3 -1.09 59.5 55.2
Mason Brandt - 23 23.4 11.3 6.2 1.1 1.4 0.4 1.1 8.2 11.2 54 2.3 14.2 53.7 42.9 67.4 1.39 63.1 61.7
Anthony Johnson - 23 25.2 10.6 2.5 3.3 1.4 0.0 1.0 8.2 8.6 22 1.0 4.8 47.9 33.8 91.1 -0.53 58.7 54.0
Steele Meister - 21 17.5 8.8 3.5 1.7 0.7 0.2 1.6 7.2 6.0 14 0.7 4.9 44.7 32.0 68.8 -1.75 53.4 50.0
Alex Kendall - 23 20.4 8.6 4.0 1.3 0.9 0.6 0.7 6.1 8.7 86 3.7 23.9 57.4 16.7 88.9 0.73 63.1 58.9
Jagger Landers - 23 17.6 8.6 3.4 1.4 0.6 0.8 1.0 6.7 7.0 0 0.0 0.0 47.7 37.9 92.3 -0.13 59.2 55.8
Ian Ioppolo - 17 18.2 7.9 3.3 0.8 0.2 0.3 0.6 7.7 4.2 -28 -1.6 -22.1 42.7 25.5 73.3 -1.54 49.1 47.3
Javonte Hill - 20 15.5 7.0 1.9 1.2 1.1 0.6 0.8 5.1 5.8 110 5.5 45.1 52.9 33.3 74.2 2.7 60.1 56.9
Jake Bishop - 23 17.1 5.3 2.5 1.0 1.1 0.0 0.4 4.0 5.6 38 1.7 13.0 45.1 36.7 67.9 -2.25 59.5 57.1
Max Roth - 19 11.6 4.1 0.9 1.5 0.8 0.1 0.6 3.2 3.6 23 1.2 12.0 46.7 38.5 75.0 0.2 58.2 55.0
Josh Thorbahn - 23 10.3 3.8 2.2 0.9 0.3 0.1 0.2 3.0 4.0 62 2.7 33.7 48.5 34.0 66.7 4.42 61.6 61.0
Luke Denbow - 17 8.8 3.5 1.2 1.2 0.3 0.1 0.6 3.5 2.2 31 1.8 83.2 32.2 27.9 71.4 -1.88 46.0 42.4
Dominic Francis - 6 3.6 2.2 0.5 0.0 0.0 0.2 0.5 1.2 1.2 6 1.0 74.6 85.7 0 50.0 -0.25 82.5 85.7
Jayson Levis - 15 6.4 2.1 0.9 0.7 0.6 0.1 0.6 2.2 1.7 -16 -1.1 -37.1 36.4 15.4 66.7 -1.76 43.3 39.4
Jacob Gerken - 5 5.8 1.2 2.2 0.0 0.2 0.0 0.6 2.2 0.8 10 2.0 82.8 18.2 14.3 33.3 -1.44 24.4 22.7
Jose Luna - 3 3.4 0.7 0.3 0.3 0.3 0.0 0.0 0.3 1.3 - - - 100.0 0 0 - 100.0 100.0

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