Detroit Mercy
2014 Team Stats (5 games)
70.8
PPG
61.8
Opp
+9.0
Margin
42.4%
FG%
30.4%
3P%
80.6%
FT%
38.6
RPG
9.6
APG
14.8
TO
-
Est. poss./game
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 → | 1064 (#292) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#315) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.9 (#262) | HCA +2.9 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-22 | vs | Florida Atlantic Owls | W | 77 - 44 |
| 2013-11-30 | @ | South Florida Bulls | W | 65 - 60 |
| 2014-01-24 | @ | Milwaukee Panthers | W | 73 - 54 |
| 2014-01-31 | vs | Cleveland State Vikings | L | 78 - 86 |
| 2014-02-21 | @ | Wright State Raiders | L | 61 - 65 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juwan Howard
|
F | 5 | 36.0 | 17.2 | 5.4 | 1.6 | 0.8 | 0.8 | 3.2 | 16.0 | 6.6 | - | - | - | - | 42.5 | 33.3 | 78.6 | - | 49.9 | 46.9 |
Evan Bruinsma
|
F | 5 | 33.0 | 12.4 | 7.8 | 1.6 | 1.0 | 0.4 | 1.6 | 9.0 | 12.6 | - | - | - | - | 44.4 | 28.6 | 76.9 | - | 54.9 | 46.7 |
Jarod Williams
|
G | 5 | 24.6 | 9.6 | 3.2 | 0.8 | 1.6 | 0.2 | 3.0 | 6.4 | 6.0 | - | - | - | - | 37.5 | 37.5 | 87.5 | - | 56.4 | 42.2 |
Carlton Brundidge
|
G | 5 | 22.2 | 7.8 | 2.8 | 1.8 | 0.6 | 0.0 | 1.4 | 7.6 | 4.0 | - | - | - | - | 42.1 | 16.7 | 75.0 | - | 47.0 | 43.4 |
Matthew Grant
|
G | 5 | 20.0 | 7.4 | 2.2 | 0.8 | 1.2 | 0.4 | 1.4 | 6.4 | 4.2 | - | - | - | - | 34.4 | 16.7 | 86.7 | - | 47.9 | 37.5 |
Patrick Onwenu
|
F | 5 | 13.6 | 5.6 | 3.6 | 0.2 | 0.0 | 1.4 | 1.4 | 3.4 | 6.0 | - | - | - | - | 52.9 | 0 | 100.0 | - | 65.4 | 52.9 |
Anton Wilson
|
G | 5 | 20.8 | 4.6 | 2.4 | 1.2 | 0.8 | 0.0 | 1.0 | 4.4 | 3.6 | - | - | - | - | 31.8 | 40.0 | 75.0 | - | 48.4 | 45.5 |
Jermaine Lippert
|
F | 5 | 11.2 | 3.2 | 2.0 | 1.2 | 1.2 | 0.4 | 0.8 | 2.2 | 5.0 | - | - | - | - | 63.6 | 0 | 40.0 | - | 60.6 | 63.6 |
Ugochukwu Njoku
|
C | 5 | 17.8 | 3.0 | 5.4 | 0.4 | 0.8 | 1.6 | 0.8 | 2.6 | 7.8 | - | - | - | - | 53.8 | 0 | 50.0 | - | 54.0 | 53.8 |
Olumide Solanke
|
C | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 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