Spring Hill
2023 Team Stats (1 games)
53.0
PPG
82.0
Opp
-29.0
Margin
35.6%
FG%
41.2%
3P%
66.7%
FT%
33.0
RPG
10.0
APG
17.0
TO
78.6
Pace
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 → | 998 (#251) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -12.9 (#527) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.470 (#402) | AdjO 72.4 | AdjD 73.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.215 (#556) | 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 → | 0.265 (#553) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 949 (#293) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-19 | @ | South Alabama Jaguars | L | 53 - 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beril Kabamba
|
- | 1 | 40.0 | 22.0 | 4.0 | 2.0 | 2.0 | 1.0 | 4.0 | 21.0 | 6.0 | - | - | - | 42.9 | 66.7 | 50.0 | - | 48.3 | 47.6 |
T. Kopa
|
- | 1 | 31.0 | 7.0 | 2.0 | 1.0 | 1.0 | 0.0 | 2.0 | 10.0 | -1.0 | - | - | - | 30.0 | 33.3 | 0 | - | 35.0 | 35.0 |
T. Reilly
|
- | 1 | 26.0 | 7.0 | 7.0 | 0.0 | 0.0 | 2.0 | 0.0 | 5.0 | 11.0 | - | - | - | 60.0 | 50.0 | 0 | - | 70.0 | 70.0 |
B. Barber
|
- | 1 | 11.0 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 3.0 | 19 | 1.9 | 6.9 | 25.0 | 50.0 | 100.0 | 0.47 | 51.2 | 37.5 |
S. Lyles
|
- | 1 | 28.0 | 5.0 | 4.0 | 0.0 | 1.0 | 0.0 | 2.0 | 7.0 | 1.0 | - | - | - | 28.6 | 100.0 | 0 | - | 35.7 | 35.7 |
O. Vorotizky
|
F | 1 | 9.0 | 3.0 | 2.0 | 3.0 | 0.0 | 0.0 | 2.0 | 4.0 | 2.0 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
C. Coates
|
- | 1 | 5.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
E. Lenihan
|
- | 1 | 29.0 | 2.0 | 2.0 | 3.0 | 2.0 | 0.0 | 5.0 | 3.0 | 1.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
S. Davidson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
D. Bobchuk
|
F | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
L. Erdtmann
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
I. Giannoultsis
|
G | 1 | 11.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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