🐻⬇️🏀

Missouri Tigers

Also known as: Missouri Tigers
Program History

2025 Team Stats (8 games)

60.9
PPG
75.4
Opp
-14.5
Margin
40.5%
FG%
32.8%
3P%
66.1%
FT%
31.1
RPG
10.3
APG
17.5
TO
79.8
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 +113 elo More → 932 (#494) HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +19.1 (#97) HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.6 | AdjD 70.5 More → 0.480 (#256) AdjO 69.6 | AdjD 70.5
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 → 0.834 (#112) 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 → 0.779 (#133) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 27 More → 1091 (#146) RD 116 | GP 27

2025 Schedule & Results

Date Vs/At Opponent Result Score
2025-01-02 vs South Carolina Gamecocks L 52 - 83
2025-01-05 @ Alabama Crimson Tide L 49 - 68
2025-01-16 @ Oklahoma Sooners L 63 - 80
2025-01-30 @ Texas Longhorns L 61 - 70
2025-02-02 vs Tennessee Lady Volunteers L 71 - 76
2025-02-06 vs LSU Tigers L 60 - 71
2025-02-16 vs Oklahoma Sooners L 66 - 82
2025-02-20 vs Kentucky Wildcats L 65 - 73

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%
G. Slaughter G. Slaughter G 8 35.1 14.5 2.6 0.5 0.1 0.5 3.4 11.5 3.4 104 3.2 3.8 47.8 44.8 78.9 2.02 57.8 54.9
L. Randle L. Randle F 8 28.9 13.1 6.0 1.8 2.0 0.1 2.4 11.6 9.0 102 3.2 3.9 48.4 0 60.0 1.87 50.5 48.4
A. Judd A. Judd G 8 28.9 11.0 4.1 1.5 0.5 0.0 2.1 11.0 4.0 48 1.5 1.9 37.5 35.3 66.7 0.78 46.5 44.3
A. Schreacke A. Schreacke G 8 16.8 5.4 1.4 1.2 0.1 0.0 0.9 5.5 1.8 29 0.9 1.9 31.8 28.9 57.1 0.67 45.7 44.3
D. Brown D. Brown PG 8 11.6 5.1 1.1 0.4 0.6 0.0 0.6 3.6 3.0 -4 -0.1 -0.2 37.9 38.9 80.0 0.49 57.6 50.0
A. Ngalakulondi A. Ngalakulondi F 8 15.0 4.2 4.8 0.5 0.4 0.2 1.6 2.6 5.9 82 2.6 5.3 61.9 0 53.3 1.03 61.6 61.9
N. Wilson N. Wilson G 8 16.5 3.4 1.4 0.8 1.1 0.0 1.4 3.8 1.5 124 3.9 7.1 33.3 20.0 54.5 1.66 38.7 35.0
A. Kroenke A. Kroenke G 8 28.1 2.1 2.6 2.8 1.6 0.4 2.2 3.8 3.5 38 1.2 2.1 23.3 10.0 50.0 0.28 26.8 25.0
H. Linthacum H. Linthacum F 8 9.0 1.1 1.4 0.1 0.0 0.1 0.8 0.6 1.4 33 1.1 2.8 40.0 0.0 100.0 0.45 62.5 40.0
H. Feldrappe H. Feldrappe F 7 5.0 0.9 0.6 0.4 0.1 0.0 0.4 1.0 0.6 -2 -0.1 -0.7 14.3 0.0 100.0 -0.5 34.2 14.3
L. Milkovic L. Milkovic C 3 2.0 0.3 0.0 0.0 0.0 0.0 0.0 0.7 -0.3 0 0.0 0.0 0.0 0.0 50.0 -1.59 17.4 0.0
T. Herron T. Herron C 1 5.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 7 0.6 3.9 0.0 0 0 -0.7 0.0 0.0
T. Sjokvist T. Sjokvist G 6 5.8 0.0 0.5 0.5 0.0 0.0 0.0 0.3 0.7 - - - 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