Detroit Mercy
2017 Team Stats (8 games)
78.9
PPG
85.4
Opp
-6.5
Margin
43.1%
FG%
33.2%
3P%
70.5%
FT%
34.0
RPG
12.3
APG
14.6
TO
-
Est. poss./game
74.1
Adj PPG
83.2
Adj Opp PPG
#300
Scoring Rank
Model Outputs
2016-2017
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 โ | 789 (#295) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 805 (#311) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 905 (#300) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -9.6 (#297) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -8.5 (#288) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.215 (#315) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.195 (#292) | AdjNet -12.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.194 (#292) | AdjNet -12.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.304 (#300) | AdjO 74.1 | AdjD 83.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.347 (#311) | AdjO 74.5 | AdjD 81.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.268 (#298) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.276 (#301) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 817 (#297) | RD 153 | GP 30 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaleel Hogan
|
F | 23 | 26.7 | 15.0 | 5.9 | 0.9 | 0.6 | 1.2 | 2.0 | 4.8 | 16.7 | -104 | 22 | -4.7 | -8.3 | 60.9 | 0 | 46.6 | 1.53 | 121.4 | 60.9 |
Josh McFolley
|
G | 24 | 29.2 | 14.2 | 2.0 | 3.0 | 1.9 | 0.1 | 2.5 | 4.8 | 13.9 | -180 | 23 | -7.8 | -12.0 | 38.3 | 32.9 | 81.8 | -5.17 | 126.9 | 49.1 |
Corey Allen
|
G | 23 | 31.9 | 13.8 | 3.1 | 1.8 | 1.2 | 0.1 | 1.9 | 6.0 | 12.1 | -140 | 22 | -6.4 | -9.0 | 39.9 | 37.7 | 66.7 | -0.59 | 103.9 | 49.3 |
Chris Jenkins
|
G | 20 | 31.3 | 11.8 | 7.2 | 1.6 | 0.6 | 0.2 | 2.5 | 4.0 | 14.8 | -106 | 20 | -5.3 | -7.7 | 44.4 | 30.4 | 83.7 | 1.18 | 118.6 | 48.8 |
Jarod Williams
|
G | 23 | 21.6 | 6.3 | 3.4 | 1.8 | 1.0 | 0.3 | 2.1 | 2.1 | 8.7 | -113 | 22 | -5.1 | -11.5 | 41.7 | 28.6 | 77.8 | -2.11 | 121.9 | 45.8 |
Matthew Grant
|
G | 3 | 26.3 | 5.7 | 4.0 | 1.3 | 0.3 | 0.0 | 1.0 | 2.0 | 8.3 | - | - | - | - | 16.7 | 0.0 | 0 | -1.56 | 141.7 | 16.7 |
Patrick Robinson
|
G | 19 | 16.3 | 5.5 | 1.2 | 0.9 | 0.3 | 0.2 | 0.3 | 2.1 | 5.8 | -58 | 18 | -3.2 | -9.5 | 45.0 | 43.8 | 83.3 | -1.33 | 123.1 | 62.5 |
Gerald Blackshear
|
F | 22 | 15.6 | 5.3 | 3.2 | 0.4 | 0.3 | 0.3 | 1.2 | 1.9 | 6.4 | -56 | 21 | -2.7 | -6.9 | 63.4 | 0 | 70.0 | -0.92 | 127.8 | 63.4 |
Aaron Foster-Smith
|
F | 3 | 14.7 | 4.0 | 4.7 | 0.0 | 0.0 | 0.0 | 0.7 | 1.3 | 6.7 | - | - | - | - | 75.0 | 0 | 0 | - | 150.0 | 75.0 |
DeShawndre Black
|
G | 23 | 16.4 | 4.0 | 1.4 | 2.0 | 0.7 | 0.0 | 1.4 | 1.5 | 5.3 | -96 | 23 | -4.2 | -11.0 | 26.5 | 18.8 | 90.0 | -2.85 | 118.5 | 30.9 |
Malik Eichler
|
F | 18 | 7.1 | 2.3 | 1.2 | 0.0 | 0.2 | 0.1 | 0.2 | 0.4 | 3.1 | -6 | 16 | -0.4 | -2.2 | 62.5 | 50.0 | 80.0 | 0.38 | 201.0 | 68.8 |
Cole Long
|
F | 22 | 13.0 | 2.2 | 2.3 | 0.5 | 0.4 | 0.3 | 0.5 | 1.1 | 4.0 | -39 | 21 | -1.9 | -6.1 | 20.0 | 20.0 | 84.6 | 1.04 | 79.8 | 22.0 |
Ed Carter
|
G | 14 | 6.1 | 0.7 | 1.0 | 0.6 | 0.2 | 0.0 | 0.6 | 1.3 | 0.7 | 5 | 14 | 0.4 | 2.3 | 16.7 | 18.2 | 100.0 | 2.23 | 26.5 | 22.2 |
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