Tennessee Southern Firehawks
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 → | 995 (#399) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -14.7 (#548) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.464 (#432) | AdjO 72.5 | AdjD 74.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.240 (#535) | 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 → | 0.281 (#536) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 886 (#532) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Louisiana Tech Bulldogs | L | 47 - 91 |
| 2022-11-27 | @ | Samford Bulldogs | W | 84 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Hancock
|
- | 1 | 23.0 | 11.0 | 4.0 | 0.0 | 0.0 | 0.0 | 3.0 | 8.0 | 4.0 | - | - | - | 25.0 | 20.0 | 75.0 | - | 47.7 | 31.2 |
C. Wilson
|
- | 1 | 18.0 | 9.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | 8.0 | 23 | 1.5 | 2.0 | 66.7 | 0 | 100.0 | 1.13 | 86.5 | 66.7 |
K. Wright
|
- | 1 | 23.0 | 8.0 | 3.0 | 1.0 | 2.0 | 0.0 | 4.0 | 11.0 | -1.0 | - | - | - | 36.4 | 0.0 | 0 | - | 36.4 | 36.4 |
A. Hudson
|
- | 1 | 20.0 | 5.0 | 1.0 | 2.0 | 2.0 | 0.0 | 1.0 | 5.0 | 4.0 | - | - | - | 20.0 | 100.0 | 100.0 | - | 42.5 | 30.0 |
T. Sivley
|
- | 1 | 25.0 | 4.0 | 4.0 | 0.0 | 2.0 | 0.0 | 3.0 | 4.0 | 3.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
C. Greer
|
- | 1 | 13.0 | 3.0 | 3.0 | 0.0 | 1.0 | 0.0 | 3.0 | 4.0 | 0.0 | - | - | - | 25.0 | 50.0 | 0.0 | - | 33.8 | 37.5 |
C. Welch
|
- | 1 | 15.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | -3.0 | - | - | - | 20.0 | 25.0 | 0 | - | 30.0 | 30.0 |
B. Brown
|
- | 1 | 26.0 | 2.0 | 4.0 | 0.0 | 2.0 | 0.0 | 2.0 | 4.0 | 2.0 | - | - | - | 0.0 | 0.0 | 100.0 | 0.45 | 20.5 | 0.0 |
E. Ramirez
|
- | 1 | 14.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | - | - | - | 33.3 | 0 | 0.0 | - | 29.1 | 33.3 |
T. Griffin
|
- | 1 | 13.0 | 0.0 | 2.0 | 1.0 | 1.0 | 1.0 | 1.0 | 5.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Spurbeck
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Tyson
|
- | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | -3.0 | - | - | - | 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