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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

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
68.4
Adj PPG
70.5
Adj Opp PPG
#199
Scoring Rank

Model Outputs

2013-2014
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 → 898 (#246) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 919 (#243) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 934 (#266) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -2.0 (#198) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -2.6 (#213) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.380 (#236) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.6 More → 0.425 (#193) AdjNet -2.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.6 More → 0.425 (#193) AdjNet -2.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.4 | AdjD 70.5 More → 0.454 (#199) AdjO 68.4 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.5 | AdjD 69.7 More → 0.451 (#221) AdjO 67.5 | AdjD 69.7
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 → 0.406 (#225) 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 → 0.405 (#233) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 161 | GP 30 More → 906 (#242) RD 161 | GP 30

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ South Alabama Jaguars L 58 - 74
2013-11-11 vs Michigan Dearborn Wolves W 106 - 51
2013-11-14 @ UConn Huskies L 55 - 101
2013-11-19 @ James Madison Dukes W 71 - 67
2013-11-22 vs Florida Atlantic Owls W 77 - 44
2013-11-23 vs Toledo Rockets L 78 - 80
2013-11-24 vs Stony Brook Seawolves L 102 - 104
2013-11-30 @ South Florida Bulls W 65 - 60
2013-12-04 @ Toledo Rockets L 75 - 91
2013-12-08 vs Rhode Island Rams W 70 - 68
2013-12-14 @ NC State Wolfpack L 79 - 82
2013-12-18 @ Akron Zips L 60 - 79
2013-12-22 @ Bowling Green Falcons L 62 - 64
2013-12-23 vs Indiana Tech Warriors W 93 - 50
2013-12-30 vs Bethune-Cookman Wildcats W 73 - 53
2014-01-04 vs Wright State Raiders W 58 - 53
2014-01-08 @ Cleveland State Vikings L 63 - 73
2014-01-11 vs Oakland Golden Grizzlies L 69 - 77
2014-01-15 vs Valparaiso Beacons L 70 - 78
2014-01-18 @ Youngstown State Penguins L 63 - 77
2014-01-24 @ Milwaukee Panthers W 73 - 54
2014-01-26 @ Green Bay Phoenix L 52 - 62
2014-01-29 vs UIC Flames W 74 - 68
2014-01-31 vs Cleveland State Vikings L 78 - 86
2014-02-07 @ Valparaiso Beacons W 59 - 57
2014-02-09 vs Youngstown State Penguins W 83 - 81
2014-02-14 @ Oakland Golden Grizzlies L 82 - 83
2014-02-18 @ UIC Flames W 65 - 59
2014-02-21 @ Wright State Raiders L 61 - 65
2014-02-27 vs Milwaukee Panthers L 62 - 68
2014-03-01 vs Green Bay Phoenix L 66 - 75
2014-03-04 @ Milwaukee Panthers L 73 - 83

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 Juwan Howard F 26 34.8 19.1 5.1 2.3 0.9 0.5 2.1 4.3 21.6 -65 21 -3.1 -4.3 44.1 36.1 70.6 1.1 209.7 50.0
Evan Bruinsma Evan Bruinsma F 26 33.6 12.2 8.0 2.0 1.2 0.7 2.5 2.2 19.5 -64 21 -3.0 -4.4 41.1 25.0 76.9 -0.43 235.8 42.9
Carlton Brundidge Carlton Brundidge G 26 21.8 7.9 2.5 1.5 0.8 0.2 1.5 2.0 9.4 -14 21 -0.7 -1.5 47.1 46.7 65.0 1.87 172.2 53.9
Jarod Williams Jarod Williams G 26 23.7 7.9 2.7 1.9 1.1 0.2 1.7 1.8 10.3 -28 20 -1.4 -2.8 41.3 35.7 86.2 -0.46 174.4 46.7
Anton Wilson Anton Wilson G 26 23.0 7.8 2.2 1.5 0.5 0.2 0.9 1.3 9.9 -71 21 -3.4 -7.7 38.2 46.2 75.0 -2.25 283.8 55.9
Matthew Grant Matthew Grant G 26 22.8 7.7 2.3 1.4 0.9 0.2 0.9 1.7 9.9 -43 21 -2.0 -4.4 36.4 22.2 87.0 0.72 185.7 40.9
Patrick Onwenu Patrick Onwenu F 26 15.7 4.7 4.2 0.5 0.3 0.9 1.3 1.2 7.9 -71 21 -3.4 -11.7 54.8 0.0 84.2 -4.4 153.7 54.8
Ugochukwu Njoku Ugochukwu Njoku C 25 20.9 3.8 5.9 0.6 1.2 1.6 0.9 0.6 11.6 -18 21 -0.9 -2.0 56.2 0 33.3 0.2 254.8 56.2
Jermaine Lippert Jermaine Lippert F 26 8.8 1.9 1.3 0.5 0.6 0.3 0.7 0.5 3.4 -48 21 -2.3 -13.4 61.5 0 61.5 -4.01 130.9 61.5
Olumide Solanke Olumide Solanke C 4 4.0 0.8 1.0 0.0 0.0 0.2 0.2 0.5 1.2 - - - - 0.0 0 0 -0.65 75.0 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