Truett-McConnell Bears
Also known as: Truett-McConnell Bears
Program History
2023 Team Stats (1 games)
48.0
PPG
84.0
Opp
-36.0
Margin
26.6%
FG%
15.0%
3P%
64.7%
FT%
37.0
RPG
10.0
APG
18.0
TO
89.5
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 → | 994 (#445) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -9.4 (#470) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.456 (#469) | AdjO 72.5 | AdjD 74.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.325 (#453) | 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 → | 0.349 (#454) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 898 (#493) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-22 | @ | Tennessee Tech Golden Eagles | L | 48 - 84 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Franky
|
F | 1 | 21.0 | 9.0 | 6.0 | 0.0 | 0.0 | 0.0 | 2.0 | 9.0 | 4.0 | - | - | - | 33.3 | 50.0 | 50.0 | - | 41.8 | 38.9 |
A. Covington
|
- | 1 | 15.0 | 8.0 | 2.0 | 1.0 | 1.0 | 0.0 | 2.0 | 7.0 | 3.0 | - | - | - | 42.9 | 0.0 | 100.0 | - | 50.8 | 42.9 |
C. Brown
|
- | 1 | 19.0 | 8.0 | 7.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | 14.0 | 26 | 2.0 | 2.2 | 66.7 | 100.0 | 50.0 | 1.01 | 70.9 | 83.3 |
E. Smith
|
- | 1 | 25.0 | 7.0 | 4.0 | 0.0 | 2.0 | 0.0 | 1.0 | 6.0 | 6.0 | - | - | - | 50.0 | 25.0 | 0 | -0.86 | 58.3 | 58.3 |
R. Arias-Ortega
|
- | 1 | 25.0 | 6.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 10.0 | -2.0 | - | - | - | 20.0 | 0.0 | 100.0 | - | 27.6 | 20.0 |
C. Seitz
|
- | 1 | 12.0 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
B. Kelly
|
G | 1 | 20.0 | 2.0 | 1.0 | 2.0 | 0.0 | 0.0 | 5.0 | 9.0 | -9.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 10.1 | 0.0 |
C. Rubio
|
- | 1 | 13.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 7.0 | -5.0 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
K. Toure
|
F | 1 | 18.0 | 2.0 | 5.0 | 2.0 | 2.0 | 0.0 | 1.0 | 4.0 | 6.0 | 70 | 6.4 | 9.4 | 25.0 | 0 | 0.0 | 1.16 | 22.5 | 25.0 |
H. Ramsey
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Mwasele
|
F | 1 | 7.0 | 0.0 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
R. Bryant
|
- | 1 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | -5.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
C. John
|
ATH | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
W. Sibley
|
ATH | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
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