Eastern Kentucky Colonels
2023 Team Stats (3 games)
63.7
PPG
84.7
Opp
-21.0
Margin
34.0%
FG%
28.8%
3P%
76.0%
FT%
29.0
RPG
11.7
APG
16.7
TO
88.7
Pace
Model Outputs
2022-2023
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 → | 1170 (#79) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1165 (#106) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.1 (#168) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.749 (#96) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-27 | @ | Tennessee Lady Volunteers | L | 71 - 105 |
| 2022-12-13 | @ | Boston College Eagles | L | 65 - 76 |
| 2023-03-05 | @ | Austin Peay Governors | L | 55 - 73 |
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. Walker
|
G | 2 | 37.5 | 18.0 | 4.5 | 1.5 | 4.0 | 0.0 | 5.0 | 24.0 | -1.0 | - | - | - | 33.3 | 12.5 | 60.0 | - | 35.9 | 34.4 |
E. Hacker
|
F | 3 | 27.7 | 13.0 | 3.7 | 0.7 | 0.7 | 1.7 | 2.0 | 9.0 | 8.7 | - | - | - | 37.0 | 53.8 | 85.7 | - | 58.8 | 50.0 |
D. Rainey
|
G | 3 | 30.3 | 10.7 | 3.0 | 1.3 | 0.7 | 0.0 | 2.3 | 9.7 | 3.7 | - | - | - | 37.9 | 23.5 | 75.0 | - | 49.2 | 44.8 |
A. Kirkwood
|
G | 3 | 23.7 | 8.0 | 4.7 | 1.7 | 1.0 | 0.3 | 2.3 | 6.7 | 6.7 | - | - | - | 35.0 | 33.3 | 87.5 | - | 51.0 | 42.5 |
A. Recanati
|
G | 3 | 36.0 | 8.0 | 2.0 | 3.7 | 1.0 | 0.7 | 3.3 | 7.0 | 5.0 | - | - | - | 42.9 | 66.7 | 100.0 | - | 52.7 | 47.6 |
M. Mackins
|
G | 2 | 30.5 | 7.0 | 1.5 | 2.5 | 3.5 | 0.0 | 1.0 | 10.5 | 3.0 | - | - | - | 19.0 | 15.4 | 66.7 | - | 29.6 | 23.8 |
B. Fox
|
F | 3 | 13.7 | 3.7 | 3.3 | 0.3 | 0.0 | 0.3 | 1.0 | 3.0 | 3.7 | - | - | - | 55.6 | 50.0 | 0 | - | 61.1 | 61.1 |
A. Collett
|
G | 2 | 10.0 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 2.0 | 2.0 | - | - | - | 50.0 | 50.0 | 100.0 | - | 67.6 | 62.5 |
K. Lacy
|
G | 3 | 8.3 | 1.3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -1.0 | - | - | - | 16.7 | 0.0 | 0.0 | - | 15.5 | 16.7 |
K. Freeman
|
G | 3 | 8.0 | 0.3 | 1.7 | 1.0 | 0.7 | 0.0 | 1.3 | 1.0 | 1.3 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
A. Morton
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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