Saint Louis Billikens
2026 Team Stats (30 games)
63.2
PPG
66.3
Opp
-3.1
Margin
37.2%
FG%
26.0%
3P%
74.0%
FT%
39.1
RPG
12.3
APG
17.9
TO
85.6
Pace
Model Outputs
2025-2026
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. More → | 875 (#554) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.2 (#255) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.403 (#449) | AdjO 60.0 | AdjD 64.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.556 (#268) | 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 → | 0.508 (#274) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 888 (#429) | RD 151 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Koerkenmeier
|
C | 30 | 30.7 | 13.0 | 9.6 | 1.5 | 0.7 | 2.5 | 2.6 | 9.0 | 15.7 | -87 | -3.3 | -5.6 | 54.1 | 0 | 72.4 | 1.36 | 59.1 | 54.1 |
J. Denis
|
G | 30 | 30.0 | 11.6 | 3.1 | 2.6 | 1.8 | 0.0 | 3.4 | 10.3 | 5.4 | -140 | -5.4 | -7.6 | 35.5 | 28.2 | 88.6 | -2.21 | 48.8 | 41.1 |
Z. Nugent
|
G | 30 | 31.5 | 11.5 | 7.0 | 1.8 | 1.7 | 0.0 | 2.9 | 11.5 | 7.7 | -113 | -4.5 | -5.9 | 29.1 | 23.6 | 72.6 | 0.24 | 41.5 | 32.8 |
A. Nelson
|
G | 30 | 34.5 | 10.6 | 3.4 | 2.9 | 1.5 | 0.1 | 2.9 | 11.4 | 4.3 | 97 | 4.4 | 6.4 | 36.7 | 20.0 | 72.0 | 3.11 | 42.4 | 38.6 |
Z. Brown
|
G | 29 | 21.2 | 7.2 | 1.4 | 0.6 | 0.7 | 0.1 | 2.2 | 7.8 | -0.2 | -46 | -1.8 | -3.1 | 34.4 | 29.0 | 73.7 | 1.8 | 44.2 | 42.7 |
M. Bergstrom
|
G | 30 | 15.2 | 3.7 | 2.2 | 0.4 | 0.5 | 0.2 | 0.8 | 4.7 | 1.4 | -126 | -4.8 | -20.9 | 25.4 | 22.3 | 73.3 | -0.3 | 37.0 | 34.9 |
E. Paloucek
|
G | 5 | 2.0 | 3.0 | 0.6 | 0.4 | 0.0 | 0.0 | 0.4 | 1.2 | 2.4 | -11 | -2.8 | -84.6 | 83.3 | 83.3 | 0 | 0.13 | 125.0 | 125.0 |
H. Wallace
|
G | 8 | 15.0 | 2.4 | 2.2 | 0.6 | 0.9 | 0.4 | 1.1 | 2.6 | 2.8 | -2 | -0.2 | -0.5 | 28.6 | 0 | 77.8 | 1.63 | 38.1 | 28.6 |
J. Wallace
|
F | 30 | 9.8 | 1.8 | 2.4 | 0.3 | 0.5 | 0.3 | 0.6 | 1.5 | 3.2 | -79 | -3.0 | -12.5 | 51.1 | 0 | 61.5 | -0.31 | 53.2 | 51.1 |
J. Tiggett
|
F | 28 | 9.6 | 1.7 | 2.4 | 0.2 | 0.4 | 1.0 | 0.6 | 1.5 | 3.6 | -101 | -4.2 | -24.9 | 48.8 | 0.0 | 50.0 | -1.47 | 49.6 | 48.8 |
I. Tillett
|
G | 30 | 15.1 | 1.4 | 1.1 | 1.8 | 0.4 | 0.1 | 1.3 | 0.9 | 2.5 | -152 | -5.6 | -21.9 | 35.7 | 50.0 | 56.2 | -1.71 | 49.9 | 42.9 |
M. Triantafylli
|
C | 2 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.5 | 1.5 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
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