Chattanooga Mocs
2025 Team Stats (2 games)
58.5
PPG
51.0
Opp
+7.5
Margin
46.2%
FG%
38.2%
3P%
53.3%
FT%
35.0
RPG
15.5
APG
20.0
TO
75.3
Pace
57.1
AdjO
58.2
AdjD
#168
Rank
Model Outputs
2024-2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1033 (#150) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 944 (#209) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.9 (#167) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.624 (#133) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.545 (#153) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.585 (#149) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.470 (#170) | AdjNet -1.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.475 (#168) | AdjO 57.1 | AdjD 58.2 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-11 | @ | North Carolina Central Eagles | W | 75 - 36 |
| 2024-12-15 | @ | Nebraska Cornhuskers | L | 42 - 66 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Olafsdottir
|
G | 2 | 38.5 | 9.5 | 7.5 | 4.5 | 2.0 | 0.0 | 1.5 | 7.0 | 15.0 | 14 | 0.5 | 0.5 | 57.1 | 75.0 | 0 | 0.84 | 67.9 | 67.9 |
G. Corbitt
|
F | 2 | 24.0 | 9.5 | 4.5 | 0.5 | 1.5 | 1.0 | 4.5 | 8.0 | 4.5 | -40 | -1.2 | -2.1 | 43.8 | 42.9 | 50.0 | -0.01 | 53.5 | 53.1 |
C. Elisaldez
|
G | 2 | 32.0 | 9.0 | 1.0 | 6.0 | 0.0 | 0.0 | 4.5 | 8.5 | 3.0 | 12 | 0.4 | 0.4 | 47.1 | 0.0 | 100.0 | 0.66 | 50.3 | 47.1 |
A. Card
|
G | 2 | 20.5 | 9.0 | 2.5 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 | 4.5 | 26 | 0.8 | 1.6 | 58.3 | 50.0 | 100.0 | 0.54 | 72.3 | 70.8 |
M. Buzic
|
G | 1 | 5.0 | 5.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 3.0 | 13 | 1.3 | 10.7 | 50.0 | 50.0 | 0 | -0.91 | 62.5 | 62.5 |
I. McPherson
|
G | 1 | 9.0 | 5.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | 33 | 5.5 | 10.6 | 50.0 | 100.0 | 0 | -0.38 | 62.5 | 62.5 |
K. Murphy
|
F | 2 | 26.5 | 4.5 | 4.0 | 0.0 | 0.5 | 0.0 | 1.5 | 8.0 | -0.5 | -4 | -0.1 | -0.2 | 25.0 | 16.7 | 0 | 0.23 | 28.1 | 28.1 |
B. Anya
|
F | 2 | 20.0 | 4.5 | 5.0 | 2.5 | 1.5 | 0.5 | 2.5 | 5.0 | 6.5 | 34 | 1.1 | 2.1 | 40.0 | 0.0 | 25.0 | 0.96 | 38.3 | 40.0 |
F. van der Schans
|
F | 2 | 10.5 | 4.0 | 2.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | 4.5 | -15 | -0.5 | -1.6 | 100.0 | 100.0 | 50.0 | -0.22 | 103.1 | 116.7 |
T. Davis
|
F | 2 | 9.0 | 2.5 | 1.5 | 0.0 | 0.0 | 1.0 | 1.0 | 2.5 | 1.5 | 1 | 0.1 | 3.3 | 40.0 | 0 | 50.0 | 0.6 | 42.5 | 40.0 |
K. Farrell
|
F | 2 | 10.0 | 1.0 | 2.0 | 0.0 | 0.5 | 0.0 | 2.0 | 1.0 | 0.5 | 25 | 2.5 | 4.2 | 50.0 | 0.0 | 0 | 0.08 | 50.0 | 50.0 |
J. Moore
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 29 | 0.9 | 1.1 | 0.0 | 0.0 | 0 | 1.07 | 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