Southeast Missouri State
2026 Team Stats (31 games)
75.2
PPG
70.7
Opp
+4.5
Margin
45.0%
FG%
30.2%
3P%
70.0%
FT%
34.4
RPG
12.5
APG
11.7
TO
80.5
Pace
71.0
AdjO
76.5
AdjD
#244
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 → | 1125 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 947 (#221) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1078 (#72) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.4 (#242) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.4 (#231) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.538 (#156) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.873 (#57) | NetEff +15.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.321 (#236) | AdjNet -6.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.318 (#236) | AdjNet -6.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.377 (#244) | AdjO 71.0 | AdjD 76.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.610 (#105) | AdjO 72.9 | AdjD 68.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.760 (#170) | 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 → | 0.739 (#157) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1127 (#110) | RD 150 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Luke Almodovar
|
- | 31 | 27.0 | 14.0 | 3.7 | 0.6 | 1.1 | 0.2 | 0.9 | 10.9 | 7.8 | 32 | 1.4 | 2.5 | 42.3 | 31.1 | 76.3 | 0.36 | 55.9 | 51.3 |
B. Stacker
|
- | 31 | 27.8 | 11.9 | 3.5 | 1.4 | 1.1 | 0.5 | 1.4 | 9.3 | 7.8 | 59 | 2.6 | 5.6 | 42.0 | 31.6 | 80.8 | 0.38 | 55.3 | 49.5 |
B. Terry
|
- | 31 | 25.1 | 11.6 | 5.1 | 2.0 | 0.6 | 0.8 | 1.8 | 8.2 | 10.2 | 33 | 1.3 | 2.8 | 54.5 | 36.0 | 61.7 | 0.3 | 58.7 | 56.3 |
BJ Ward
|
- | 31 | 30.1 | 11.0 | 2.2 | 3.7 | 0.9 | 0.1 | 2.0 | 10.2 | 5.7 | 14 | 0.6 | 1.0 | 38.4 | 34.3 | 81.0 | -0.15 | 49.6 | 45.9 |
M. Bell
|
- | 31 | 22.3 | 9.5 | 5.4 | 1.8 | 0.6 | 0.1 | 1.5 | 6.3 | 9.7 | 40 | 1.7 | 4.8 | 53.1 | 33.3 | 74.6 | 0.25 | 60.4 | 54.1 |
L. Blocker
|
G | 31 | 17.7 | 5.2 | 3.8 | 0.5 | 0.9 | 0.6 | 0.8 | 4.0 | 6.2 | 14 | 0.6 | 1.0 | 50.8 | 47.6 | 48.1 | 0.42 | 54.8 | 54.8 |
T. Cole Jr.
|
- | 31 | 13.4 | 4.0 | 2.2 | 0.6 | 0.6 | 0.2 | 0.9 | 3.4 | 3.3 | 7 | 0.3 | 1.1 | 40.0 | 4.9 | 69.6 | -0.73 | 48.2 | 41.0 |
E. Lowndes
|
- | 30 | 6.8 | 2.2 | 1.3 | 0.2 | 0.3 | 0.5 | 0.2 | 1.8 | 2.4 | -11 | -0.5 | -3.0 | 46.3 | 35.5 | 57.1 | -0.44 | 56.9 | 56.5 |
D. Idada
|
- | 31 | 10.7 | 1.9 | 2.6 | 0.3 | 0.1 | 0.5 | 0.5 | 1.0 | 3.9 | 14 | 0.6 | 3.5 | 56.7 | 0 | 54.5 | -0.11 | 58.8 | 56.7 |
Pj Farmer
|
- | 31 | 9.4 | 1.9 | 1.5 | 1.0 | 0.5 | 0.0 | 0.8 | 1.8 | 2.2 | -21 | -1.0 | -4.8 | 42.1 | 10.5 | 58.8 | -0.42 | 46.5 | 43.9 |
B. Sagna
|
- | 26 | 8.9 | 1.5 | 1.0 | 0.4 | 0.3 | 0.1 | 0.3 | 1.4 | 1.6 | 10 | 0.6 | 3.6 | 33.3 | 25.9 | 90.0 | -0.29 | 49.5 | 43.1 |
J. Reynolds
|
- | 10 | 5.2 | 1.2 | 0.3 | 0.1 | 0.0 | 0.0 | 0.2 | 1.9 | -0.5 | 4 | 0.5 | 14.5 | 21.1 | 20.0 | 50.0 | -0.14 | 30.2 | 28.9 |
Trace Sadler
|
- | 13 | 3.7 | 0.9 | 0.4 | 0.0 | 0.0 | 0.2 | 0.2 | 0.5 | 0.8 | -15 | -1.4 | -31.7 | 85.7 | 0 | 0.0 | -0.33 | 80.6 | 85.7 |
S. Hoepker
|
F | 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