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Southwestern Adventist Knights

Season: 2026 2025 2024 2023 2022
Also known as: Southwestern Adventist Knights
Program History

2025 Team Stats (1 games)

58.0
PPG
117.0
Opp
-56.5
Margin
33.3%
FG%
32.3%
3P%
85.7%
FT%
25.0
RPG
10.0
APG
22.0
TO
82.2
Pace

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 991 (#495) HCA +109 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -28.2 (#666) HCA +2.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.9 | AdjD 76.2 More → 0.361 (#667) AdjO 69.9 | AdjD 76.2
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 → 0.089 (#679) 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 → 0.125 (#682) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 3 More → 820 (#648) RD 350 | GP 3

2025 Schedule & Results

Date Vs/At Opponent Result Score
2024-12-18 @ Texas A&M-Corpus Christi Islanders L 63 - 117
2024-12-19 @ UTSA Roadrunners L 58 - 117

2025 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%
O. Gooden O. Gooden - 2 38.5 19.5 2.5 1.0 1.0 0.0 3.0 14.5 6.5 - - - 41.4 40.9 85.7 - 60.8 56.9
D. Wilkins D. Wilkins - 2 32.5 16.0 4.5 0.5 0.5 1.5 2.0 12.0 9.0 - - - 54.2 41.7 50.0 - 64.3 64.6
B. Fields B. Fields ATH 2 33.0 11.5 4.0 2.0 1.0 1.0 3.5 10.0 6.0 - - - 30.0 50.0 87.5 - 48.9 40.0
J. Garcia J. Garcia - 2 37.5 9.0 2.5 5.0 2.0 0.0 7.0 8.0 3.5 -49 -3.1 -7.3 31.2 12.5 70.0 0.24 44.1 34.4
A. Kimanga A. Kimanga - 2 17.0 2.0 2.0 0.5 0.0 0.5 1.0 3.5 0.5 - - - 28.6 0 0 - 28.6 28.6
M. Musa M. Musa ATH 2 25.5 1.5 1.5 2.0 1.0 0.0 1.5 5.0 -0.5 - - - 10.0 25.0 0 - 15.0 15.0
C. Thompson C. Thompson - 2 4.0 1.0 0.5 0.5 0.0 0.0 0.0 1.0 1.0 - - - 50.0 0.0 0 - 50.0 50.0
L. Shaver L. Shaver G 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 - - - 0.0 0.0 0 - 0.0 0.0
B. Russell B. Russell ATH 2 8.5 0.0 0.0 0.0 0.0 0.0 1.5 0.5 -2.0 - - - 0.0 0.0 0 - 0.0 0.0
J. Victoria J. Victoria - 1 2.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
B. Tochterman B. Tochterman ATH 1 2.0 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

Not enough players with both Numbers/Game and RAPM to plot.

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