Mercer Bears
2022 Team Stats (4 games)
59.0
PPG
54.8
Opp
+4.2
Margin
38.8%
FG%
37.8%
3P%
71.7%
FT%
36.8
RPG
8.8
APG
14.0
TO
79.1
Pace
Model Outputs
2021-2022
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 → | 1067 (#150) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1081 (#167) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.8 (#242) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.638 (#136) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | @ | Alabama Crimson Tide | L | 48 - 55 |
| 2021-12-28 | vs | UNC Wilmington Seahawks | - | Preview |
| 2022-03-03 | vs | Western Carolina Catamounts | W | 85 - 46 |
| 2022-03-04 | vs | Samford Bulldogs | W | 65 - 35 |
| 2022-03-19 | @ | UConn Huskies | L | 38 - 83 |
2022 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. Neal-Tysor
|
G | 4 | 27.5 | 19.2 | 5.0 | 0.8 | 1.5 | 0.0 | 1.0 | 15.0 | 10.5 | - | - | - | 50.0 | 52.4 | 100.0 | 1.22 | 61.5 | 59.2 |
S. Titus
|
G | 4 | 30.0 | 12.0 | 4.8 | 1.8 | 1.5 | 0.8 | 1.2 | 13.0 | 6.5 | - | - | - | 30.8 | 0 | 80.0 | 1.13 | 39.5 | 30.8 |
J. Dougherty
|
F | 4 | 26.5 | 7.2 | 5.5 | 0.8 | 0.8 | 0.8 | 2.8 | 10.5 | 1.8 | - | - | - | 31.0 | 25.0 | 100.0 | 1.03 | 33.8 | 32.1 |
E. Houpt
|
G | 4 | 27.8 | 6.2 | 1.8 | 1.0 | 0.5 | 0.0 | 0.5 | 5.8 | 3.2 | 68 | 4.2 | 18.7 | 39.1 | 28.6 | 75.0 | 1.47 | 50.5 | 47.8 |
E. Banks
|
G | 4 | 17.5 | 3.2 | 5.5 | 1.0 | 0.5 | 0.2 | 3.2 | 3.8 | 3.5 | - | - | - | 40.0 | 0.0 | 50.0 | 1.5 | 40.9 | 40.0 |
N. Harkless
|
F | 4 | 10.8 | 2.8 | 3.0 | 0.5 | 1.0 | 0.0 | 1.2 | 3.2 | 2.8 | 117 | 5.3 | 38.1 | 38.5 | 0 | 25.0 | 1.14 | 37.3 | 38.5 |
A. Thayne
|
F | 4 | 23.0 | 2.0 | 4.0 | 1.2 | 0.2 | 0.5 | 0.5 | 1.5 | 6.0 | - | - | - | 50.0 | 0 | 100.0 | 0.61 | 58.1 | 50.0 |
A. Locke
|
F | 3 | 4.7 | 2.0 | 1.3 | 0.3 | 0.7 | 0.0 | 0.7 | 1.7 | 2.0 | -19 | -4.8 | -56.1 | 40.0 | 0 | 100.0 | -0.36 | 51.0 | 40.0 |
L. McNamara-Clement
|
F | 4 | 5.8 | 1.5 | 1.2 | 0.5 | 0.0 | 0.5 | 0.2 | 1.2 | 2.2 | - | - | - | 60.0 | 0 | 0 | 0.67 | 60.0 | 60.0 |
K. Jones
|
G | 3 | 4.7 | 1.3 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 1.3 | 0.7 | -23 | -1.4 | -7.4 | 50.0 | 0.0 | 0 | 0.92 | 50.0 | 50.0 |
S. Votaw
|
F | 4 | 13.0 | 1.0 | 2.0 | 0.2 | 0.8 | 0.8 | 1.2 | 1.8 | 1.8 | - | - | - | 28.6 | 0 | 0.0 | 1.94 | 22.8 | 28.6 |
K. Fisher
|
G | 4 | 4.8 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 1.5 | -1.0 | 0 | 0.0 | 0.0 | 16.7 | 33.3 | 0 | 0.49 | 25.0 | 25.0 |
S. Boykin
|
G | 4 | 6.5 | 0.5 | 0.2 | 0.5 | 0.0 | 0.0 | 0.2 | 0.5 | 0.5 | 11 | 0.6 | 3.4 | 50.0 | 0 | 0 | 0.63 | 50.0 | 50.0 |
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