St. Ambrose Fighting Bees
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2023 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. More → | 994 (#433) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -11.9 (#508) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.472 (#388) | AdjO 72.8 | AdjD 74.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.297 (#479) | 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 → | 0.328 (#475) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 859 (#601) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-29 | @ | SIU Edwardsville Cougars | L | 54 - 89 |
2023 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. Wills
|
- | 1 | 17.0 | 10.0 | 2.0 | 2.0 | 2.0 | 0.0 | 2.0 | 4.0 | 10.0 | -15 | -2.5 | -7.9 | 50.0 | 0 | 100.0 | -0.04 | 75.3 | 50.0 |
G. Mason
|
- | 1 | 26.0 | 8.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 13.0 | -2.0 | - | - | - | 30.8 | 0.0 | 0 | - | 30.8 | 30.8 |
W. Spriggs
|
- | 1 | 15.0 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 | 8.0 | -6.0 | - | - | - | 37.5 | 0 | 50.0 | - | 39.4 | 37.5 |
J. Jones
|
- | 1 | 23.0 | 6.0 | 3.0 | 2.0 | 1.0 | 0.0 | 0.0 | 5.0 | 7.0 | 28 | 2.3 | 3.0 | 60.0 | 0.0 | 0 | 1.3 | 60.0 | 60.0 |
A. Morrissey
|
- | 1 | 27.0 | 6.0 | 4.0 | 2.0 | 0.0 | 0.0 | 2.0 | 5.0 | 5.0 | - | - | - | 40.0 | 50.0 | 50.0 | - | 51.0 | 50.0 |
I. Dacunda
|
- | 1 | 17.0 | 4.0 | 3.0 | 2.0 | 1.0 | 0.0 | 3.0 | 6.0 | 1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
M. Steiner
|
- | 1 | 23.0 | 4.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 8.0 | -1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
T. White
|
- | 1 | 14.0 | 4.0 | 6.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | 4.0 | -23 | -1.8 | -2.4 | 25.0 | 0 | 100.0 | 0.42 | 41.0 | 25.0 |
A. Burgert
|
- | 1 | 8.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
A. Born
|
- | 1 | 13.0 | 2.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
N. Moeller
|
- | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Thomas
|
- | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -3.0 | 36 | 2.6 | 4.0 | 0.0 | 0 | 0 | 1.47 | 0.0 | 0.0 |
D. Wakefield
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Sanchez
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 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