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Detroit Mercy

Also known as: Detroit Mercy Titans, Detroit Mercy
Program History

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
Catalog

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. HCA +89 elo More โ†’ 905 (#300) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -9.6 (#297) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 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. AdjNet -12.3 More โ†’ 0.195 (#292) AdjNet -12.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.4 More โ†’ 0.194 (#292) AdjNet -12.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.1 | AdjD 83.2 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. AdjO 74.5 | AdjD 81.4 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 153 | GP 30 More โ†’ 817 (#297) RD 153 | GP 30

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Adrian Bulldogs W 99 - 69
2016-11-14 @ East Tennessee State Buccaneers L 78 - 107
2016-11-18 @ Illinois Fighting Illini L 69 - 89
2016-11-20 @ Florida State Seminoles L 71 - 100
2016-11-23 @ New Hampshire Wildcats L 70 - 86
2016-11-26 vs Manhattan Jaspers L 81 - 84
2016-11-30 vs Eastern Michigan Eagles L 61 - 87
2016-12-03 @ Murray State Racers L 76 - 86
2016-12-07 @ Toledo Rockets L 65 - 73
2016-12-10 @ Bowling Green Falcons L 61 - 74
2016-12-17 vs Western Kentucky Hilltoppers W 85 - 79
2016-12-22 vs Purdue Fort Wayne Mastodons L 86 - 93
2016-12-29 vs Northern Kentucky Norse L 70 - 81
2016-12-31 vs Wright State Raiders L 72 - 85
2017-01-06 @ UIC Flames L 64 - 78
2017-01-08 @ Valparaiso Beacons L 74 - 81
2017-01-13 @ Oakland Golden Grizzlies W 93 - 88
2017-01-16 vs Youngstown State Penguins W 87 - 71
2017-01-20 @ Wright State Raiders L 88 - 106
2017-01-22 @ Northern Kentucky Norse L 87 - 101
2017-01-27 vs Milwaukee Panthers L 69 - 73
2017-01-29 vs Green Bay Phoenix W 93 - 92
2017-02-02 @ Cleveland State Vikings L 73 - 90
2017-02-04 @ Youngstown State Penguins W 90 - 80
2017-02-10 vs Oakland Golden Grizzlies L 80 - 89
2017-02-17 vs UIC Flames L 69 - 74
2017-02-19 vs Valparaiso Beacons L 63 - 83
2017-02-21 vs Cleveland State Vikings W 91 - 83
2017-02-24 @ Milwaukee Panthers W 81 - 74
2017-02-26 @ Green Bay Phoenix L 81 - 89
2017-03-03 vs Milwaukee Panthers L 60 - 85

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 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 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 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 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 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 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 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 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 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 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 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 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 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