Mercer Bears
2014 Team Stats (4 games)
54.8
PPG
63.5
Opp
-4.3
Margin
36.3%
FG%
19.4%
3P%
73.1%
FT%
37.0
RPG
11.3
APG
12.8
TO
76.6
Pace
Model Outputs
2013-2014
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 → | 1048 (#155) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1070 (#140) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.2 (#180) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.705 (#127) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-14 | @ | Georgia Lady Bulldogs | L | 41 - 72 |
| 2013-11-29 | @ | Wisconsin Badgers | L | 72 - 77 |
| 2014-03-06 | @ | North Florida Ospreys | W | 71 - 65 |
| 2014-03-08 | @ | Jacksonville Dolphins | L | 65 - 67 |
| 2014-03-11 | @ | Jacksonville Dolphins | W | 59 - 36 |
| 2014-03-15 | @ | Florida Gulf Coast Eagles | L | 47 - 64 |
2014 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. Dahi
|
- | 4 | 24.5 | 12.2 | 3.2 | 1.5 | 0.8 | 0.0 | 1.8 | 10.2 | 5.8 | - | - | - | 48.8 | 25.0 | 72.7 | - | 53.4 | 50.0 |
B. Williams
|
G | 4 | 20.5 | 10.5 | 3.2 | 0.5 | 0.8 | 0.2 | 1.0 | 11.2 | 3.0 | - | - | - | 22.2 | 0.0 | 95.7 | - | 38.1 | 22.2 |
L. Stokes
|
G | 4 | 29.8 | 9.5 | 2.2 | 1.5 | 0.8 | 0.2 | 3.8 | 10.5 | 0.0 | - | - | - | 28.6 | 33.3 | 75.0 | - | 38.7 | 31.0 |
K. Grant
|
G | 3 | 30.0 | 7.0 | 4.3 | 1.0 | 0.7 | 0.3 | 0.7 | 10.7 | 2.0 | - | - | - | 28.1 | 16.7 | 100.0 | - | 31.9 | 29.7 |
M. Konate
|
G-F | 4 | 32.5 | 6.2 | 12.2 | 1.2 | 0.0 | 5.2 | 1.0 | 4.0 | 20.0 | - | - | - | 75.0 | 0 | 16.7 | - | 67.1 | 75.0 |
T. McClintock
|
G | 1 | 4.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
A. Anderson
|
F | 4 | 12.5 | 4.0 | 4.0 | 0.0 | 0.5 | 0.2 | 1.5 | 3.8 | 3.5 | - | - | - | 46.7 | 0 | 50.0 | - | 47.7 | 46.7 |
S. Booker
|
- | 4 | 20.8 | 3.0 | 2.0 | 1.0 | 1.0 | 0.8 | 0.8 | 4.8 | 2.2 | - | - | - | 31.6 | 0 | 0.0 | - | 30.2 | 31.6 |
S. Boykin
|
G | 4 | 36.0 | 2.5 | 3.8 | 4.8 | 1.5 | 0.0 | 2.5 | 3.5 | 6.5 | - | - | - | 28.6 | 0 | 66.7 | - | 32.6 | 28.6 |
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