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Fresno Pacific

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Fresno Pacific
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 → 1052 (#124) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 966 (#195) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 913 (#525) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +2.6 (#202) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -3.6 (#380) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.309 (#246) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +19.7 More → 0.904 (#186) NetEff +19.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -1.2 More → 0.466 (#241) AdjNet -1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.8 More → 0.476 (#241) AdjNet -0.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 72.6 More → 0.508 (#230) AdjO 72.9 | AdjD 72.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.7 | AdjD 74.8 More → 0.431 (#421) AdjO 71.7 | AdjD 74.8
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 → 0.377 (#413) 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 → 0.383 (#412) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 79 | GP 40 More → 902 (#360) RD 79 | GP 40

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Fresno St. - Incomplete score
2025-11-14 @ Cal St. East Bay L 71 - 75
2025-11-15 vs Stanislaus St. L 50 - 65
2025-11-21 @ UC Merced L 57 - 61
2025-11-24 vs Cal State LA L 71 - 87
2025-11-28 vs San Fran. St. W 87 - 71
2025-11-29 vs Cal St. Monterey Bay L 57 - 74
2025-12-04 vs Biola W 85 - 80
2025-12-06 vs Point Loma L 63 - 85
2025-12-18 @ CUI L 61 - 89
2025-12-20 @ Vanguard L 76 - 87
2026-01-03 vs Hawaii Pacific W 84 - 72
2026-01-05 vs Hawaii Hilo W 89 - 80
2026-01-10 vs Westmont W 73 - 69
2026-01-13 vs Azusa Pacific W 68 - 64
2026-01-15 vs CUI W 66 - 55
2026-01-17 @ Westmont L 67 - 79
2026-01-20 vs Jessup - Incomplete score
2026-01-24 @ Menlo - Incomplete score
2026-01-29 @ Biola W 70 - 62
2026-01-31 @ Point Loma L 54 - 69
2026-02-05 @ Jessup L 73 - 81
2026-02-07 vs Dominican (CA) L 79 - 85
2026-02-13 @ Chaminade W 83 - 81
2026-02-14 @ Hawaii Pacific W 64 - 57
2026-02-18 @ Hawaii Hilo W 63 - 55
2026-02-21 vs Menlo W 79 - 64
2026-02-26 vs Vanguard L 58 - 72
2026-02-28 @ Dominican (CA) W 71 - 69
2026-03-05 vs CUI L 60 - 70

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Seth Brown - 25 29.8 13.9 3.4 1.2 1.0 0.2 2.5 10.8 6.4 - - - - 39.6 38.2 85.0 - 57.0 51.9
Isaac Peralta - 22 28.9 11.4 4.9 3.5 1.5 0.4 2.1 8.5 11.0 - - - - 46.8 32.0 74.7 - 55.3 48.9
Brandon Gibson Jr. - 24 19.0 9.5 3.5 1.2 0.5 0.0 1.8 6.5 6.5 - - - - 48.4 29.7 75.0 - 58.5 51.9
Nick Davidson - 22 24.7 9.4 4.2 2.5 0.8 0.0 2.3 7.4 7.4 11 13 0.8 1.6 44.4 35.4 73.8 2.11 54.5 49.7
Harrison Pennisi - 22 18.5 7.4 5.0 0.5 0.7 0.5 1.1 6.6 6.4 1 12 0.1 0.2 50.3 0.0 47.1 1.72 50.6 50.3
Logan Kilbert - 26 24.8 6.5 2.8 0.8 0.7 0.1 0.5 5.6 4.7 - - - - 35.9 31.4 81.6 - 51.9 47.2
Liam Switzer - 26 18.5 6.5 3.8 0.8 0.4 0.8 1.0 4.6 6.7 - - - - 64.2 0.0 63.6 - 64.8 64.2
Amar Hot - 26 14.3 3.8 1.2 0.8 0.7 0.0 0.8 4.7 1.0 - - - - 29.8 27.1 90.9 - 38.9 36.4
Hugo Gonzalez Garcia - 24 11.7 2.7 1.8 0.3 0.2 0.0 0.6 2.8 1.7 - - - - 31.3 33.3 61.5 - 44.7 42.5
Abram Potts - 6 6.3 2.2 0.7 0.5 0.5 0.0 0.0 1.7 2.2 - - - - 50.0 33.3 50.0 - 59.7 60.0
Gabriel Quiette - 26 14.1 2.1 2.2 0.9 0.3 0.1 1.2 1.7 2.8 - - - - 45.5 0.0 62.5 - 50.4 45.5
Loukas Jones - 24 10.3 2.0 0.6 0.7 0.2 0.0 0.2 2.0 1.4 - - - - 29.2 28.6 64.3 - 43.4 39.6
Tyler Parr - 6 1.4 0.2 0.3 0.2 0.0 0.0 0.2 0.0 0.5 - - - - 0 0 25.0 - 28.4 0
Ryan Braam - 1 3.6 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - - 0 0 0 - 0 0
Gavyn Cirricione - 6 1.5 0.0 0.0 0.2 0.0 0.0 0.0 0.2 0.0 - - - - 0.0 0.0 0 - 0.0 0.0
Malachi Ficher - 1 2.8 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Micah Cole - 1 1.7 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 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