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Detroit Mercy

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Detroit Mercy Titans, Detroit Mercy
Program History
Coach: Ray McCallum

2016 Team Stats (5 games)

80.4
PPG
88.4
Opp
-8.0
Margin
39.8%
FG%
31.3%
3P%
73.7%
FT%
36.8
RPG
11.0
APG
11.0
TO
-
Est. poss./game
79.7
Adj PPG
81.4
Adj Opp PPG
#190
Scoring Rank

Model Outputs

2015-2016
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 → 1008 (#166) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 980 (#195) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 1005 (#164) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -1.7 (#189) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +0.2 (#159) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.444 (#196) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.0 More → 0.444 (#185) AdjNet -2.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.1 More → 0.441 (#187) AdjNet -2.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.7 | AdjD 81.4 More → 0.462 (#190) AdjO 79.7 | AdjD 81.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.9 | AdjD 78.9 More → 0.499 (#165) AdjO 78.9 | AdjD 78.9
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 → 0.480 (#174) 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 → 0.487 (#173) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 145 | GP 29 More → 988 (#180) RD 145 | GP 29

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-16 vs Central State Marauders W 88 - 65
2015-11-20 @ Pittsburgh Panthers L 79 - 95
2015-11-23 vs Michigan Dearborn Wolves W 122 - 70
2015-11-28 @ Oral Roberts Golden Eagles L 95 - 100
2015-12-02 @ Vanderbilt Commodores L 52 - 102
2015-12-05 vs Northeastern Huskies W 76 - 73
2015-12-09 vs Toledo Rockets W 75 - 72
2015-12-12 vs Bowling Green Falcons W 95 - 80
2015-12-19 vs UCF Knights W 95 - 89
2015-12-22 @ Western Kentucky Hilltoppers L 74 - 79
2015-12-28 @ Eastern Michigan Eagles L 73 - 88
2016-01-02 vs Youngstown State Penguins W 96 - 87
2016-01-04 vs Cleveland State Vikings W 88 - 80
2016-01-08 vs UIC Flames W 87 - 69
2016-01-10 vs Valparaiso Beacons L 74 - 92
2016-01-16 vs Oakland Golden Grizzlies L 82 - 86
2016-01-18 @ Wright State Raiders L 76 - 77
2016-01-23 @ Milwaukee Panthers L 80 - 83
2016-01-25 @ Green Bay Phoenix L 108 - 115
2016-01-29 vs Northern Kentucky Norse L 83 - 91
2016-01-31 vs Wright State Raiders W 75 - 68
2016-02-04 @ Cleveland State Vikings W 71 - 63
2016-02-06 @ Youngstown State Penguins W 94 - 92
2016-02-11 vs Green Bay Phoenix L 85 - 86
2016-02-13 vs Milwaukee Panthers W 80 - 66
2016-02-16 @ Northern Kentucky Norse W 74 - 68
2016-02-19 @ UIC Flames W 83 - 72
2016-02-21 @ Valparaiso Beacons L 74 - 90
2016-02-26 @ Oakland Golden Grizzlies L 97 - 108
2016-03-05 vs Youngstown State Penguins W 92 - 79
2016-03-06 @ Wright State Raiders L 72 - 82

2016 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%
Paris Bass Paris Bass G 23 29.9 18.2 7.7 2.1 1.4 1.4 3.3 4.8 22.8 -23 14 -1.6 -2.6 45.5 28.6 70.0 0.1 169.6 48.2
Anton Wilson Anton Wilson G 29 32.6 14.7 3.8 2.1 1.3 0.7 1.8 3.4 17.4 -58 16 -3.6 -5.0 41.8 37.1 91.2 -1.59 188.6 53.6
Chris Jenkins Chris Jenkins G 29 32.7 12.3 5.6 1.4 1.1 0.4 1.5 2.4 16.9 -42 16 -2.6 -3.6 46.5 41.7 88.0 -1.21 218.3 57.0
Jaleel Hogan Jaleel Hogan F 29 22.2 10.4 4.1 0.9 0.5 0.7 1.7 2.3 12.6 -14 16 -0.9 -1.8 55.9 0 59.3 1.16 189.7 55.9
Carlton Brundidge Carlton Brundidge G 29 20.2 10.2 4.0 2.2 0.7 0.1 1.2 2.7 13.3 5 16 0.3 0.7 46.8 11.1 80.6 1.82 155.5 47.5
Josh McFolley Josh McFolley G 28 21.6 8.5 1.5 2.4 1.1 0.0 1.5 2.4 9.7 -36 16 -2.2 -4.5 31.8 28.6 90.9 -1.48 156.6 39.4
Jarod Williams Jarod Williams G 29 12.2 4.2 1.8 1.3 0.4 0.1 1.0 1.2 5.7 -40 16 -2.5 -9.2 44.4 33.3 76.5 -2.76 141.4 51.4
Gerald Blackshear Gerald Blackshear F 29 15.2 4.1 4.0 0.2 0.2 0.5 0.7 0.9 7.4 -54 16 -3.4 -10.1 40.7 0 50.0 -2.42 180.9 40.7
Aaron Foster-Smith Aaron Foster-Smith F 28 10.1 3.4 1.8 0.3 0.1 0.2 0.4 0.9 4.5 -65 16 -4.1 -16.2 37.5 14.3 37.5 -3.46 170.8 39.6
Jalen Gibson Jalen Gibson F 3 7.3 2.3 3.3 0.0 0.0 1.0 1.0 1.0 4.7 - - - - 0.0 0.0 0 -0.9 116.7 0.0
Matthew Grant Matthew Grant G 24 12.4 2.2 1.2 1.0 0.4 0.1 0.4 0.4 4.1 -32 13 -2.5 -10.3 30.0 20.0 88.9 -1.73 193.4 35.0
Patrick Robinson Patrick Robinson G 5 2.2 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.2 - - - - 0 0 0 -1.37 0 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