Missouri State
2026 Team Stats (32 games)
74.7
PPG
72.3
Opp
+2.4
Margin
45.0%
FG%
31.9%
3P%
68.1%
FT%
34.9
RPG
14.5
APG
11.1
TO
78.3
Pace
72.6
AdjO
74.8
AdjD
#193
Rank
Model Outputs
2025-2026
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 → | 904 (#248) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 887 (#266) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1003 (#186) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.4 (#198) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.9 (#157) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.444 (#214) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.786 (#84) | NetEff +13.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.426 (#192) | AdjNet -2.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.426 (#192) | AdjNet -2.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.451 (#193) | AdjO 72.6 | AdjD 74.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.580 (#140) | AdjO 74.1 | AdjD 70.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.745 (#181) | 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. More → | 0.713 (#178) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1059 (#186) | RD 126 | GP 32 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keith Palek Iii
|
- | 32 | 32.6 | 17.2 | 6.4 | 3.5 | 0.9 | 0.3 | 2.6 | 13.4 | 12.3 | 12 | 0.5 | 0.9 | 42.1 | 25.0 | 71.2 | -0.14 | 52.6 | 46.4 |
M. Osei-Bonsu
|
F | 30 | 27.2 | 15.1 | 7.4 | 2.4 | 1.3 | 0.8 | 2.4 | 10.1 | 14.4 | 54 | 2.6 | 6.1 | 59.1 | 0 | 53.1 | 0.22 | 59.3 | 59.1 |
K. Williams
|
- | 31 | 35.3 | 14.1 | 2.5 | 1.5 | 1.0 | 0.2 | 1.4 | 10.1 | 7.8 | 199 | 10.5 | 21.6 | 39.5 | 36.2 | 85.2 | 2.04 | 59.0 | 52.2 |
Trey Williams Jr
|
- | 32 | 30.7 | 9.6 | 2.1 | 3.2 | 1.0 | 0.2 | 1.2 | 7.9 | 6.9 | - | - | - | 39.1 | 36.2 | 71.4 | - | 53.9 | 50.6 |
Z. King
|
G | 32 | 26.5 | 7.0 | 1.9 | 1.7 | 0.7 | 0.1 | 0.8 | 5.7 | 4.9 | 6 | 0.2 | 0.5 | 40.3 | 29.4 | 75.8 | -0.48 | 54.0 | 49.2 |
D. Sutton
|
- | 32 | 13.5 | 4.7 | 4.4 | 0.8 | 0.5 | 0.7 | 0.7 | 3.7 | 6.6 | -24 | -1.1 | -4.1 | 54.6 | 20.0 | 63.3 | -0.3 | 57.1 | 55.5 |
A. Burnett
|
G | 18 | 23.4 | 4.6 | 3.7 | 1.1 | 1.3 | 0.1 | 0.9 | 4.0 | 5.8 | -22 | -1.5 | -4.1 | 40.3 | 36.8 | 52.4 | -0.26 | 51.1 | 50.0 |
Ryder Cheesman
|
- | 3 | 6.7 | 3.3 | 1.7 | 0.3 | 0.3 | 0.0 | 1.0 | 2.3 | 2.3 | - | - | - | 71.4 | 0 | 0 | - | 71.4 | 71.4 |
Melakih Cunningham
|
G | 19 | 11.4 | 3.1 | 2.1 | 0.5 | 0.5 | 0.2 | 0.3 | 2.5 | 3.5 | 1 | 0.1 | 0.5 | 44.7 | 30.4 | 76.9 | 0.27 | 56.0 | 52.1 |
Tyrique Brooks
|
- | 22 | 7.5 | 2.0 | 0.7 | 0.5 | 0.3 | 0.1 | 0.5 | 1.6 | 1.5 | 18 | 1.4 | 10.8 | 37.1 | 25.0 | 63.6 | -0.03 | 49.2 | 42.9 |
L. Epes
|
- | 22 | 9.0 | 1.2 | 1.0 | 0.3 | 0.4 | 0.1 | 0.3 | 1.1 | 1.6 | 30 | 1.7 | 11.8 | 40.0 | 15.4 | 41.7 | -0.1 | 44.6 | 44.0 |
C. Boone
|
- | 27 | 6.9 | 1.0 | 1.4 | 0.0 | 0.0 | 0.7 | 0.3 | 0.7 | 2.3 | -30 | -1.7 | -8.5 | 61.1 | 0 | 60.0 | -0.46 | 62.5 | 61.1 |
A. Kuljuhovic
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Clark
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -57 | -3.6 | -13.8 | - | - | - | -0.81 | - | - |
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