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Michigan

Also known as: Michigan Wolverines
Program History

2018 Team Stats (28 games)

76.5
PPG
61.3
Opp
+15.1
Margin
48.2%
FG%
41.5%
3P%
76.7%
FT%
39.9
RPG
15.6
APG
16.4
TO
-
Est. poss./game
75.3
Adj PPG
55.1
Adj Opp PPG
#25
Scoring Rank

Model Outputs

2017-2018
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†’ 1301 (#52) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1275 (#35) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1080 (#78) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +21.6 (#24) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ +20.9 (#26) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.889 (#25) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +31.8 More โ†’ 0.976 (#23) AdjNet +31.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +32.5 More โ†’ 0.978 (#22) AdjNet +32.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.3 | AdjD 55.1 More โ†’ 0.862 (#25) AdjO 75.3 | AdjD 55.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.7 | AdjD 58.0 More โ†’ 0.777 (#30) AdjO 71.7 | AdjD 58.0
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†’ 0.882 (#28) 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†’ 0.869 (#28) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 115 | GP 33 More โ†’ 1223 (#47) RD 115 | GP 33

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs George Mason Patriots W 75 - 61
2017-11-12 vs Liberty Flames W 74 - 50
2017-11-16 @ Louisville Cardinals L 49 - 74
2017-11-22 vs Oakland Golden Grizzlies W 78 - 69
2017-11-25 @ Ohio Bobcats W 74 - 61
2017-11-29 vs Notre Dame Fighting Irish L 63 - 83
2017-12-02 @ LIU Brooklyn Blackbirds W 86 - 49
2017-12-04 @ Detroit Mercy Titans W 86 - 50
2017-12-07 vs Marquette Golden Eagles W 82 - 76
2017-12-10 vs Kent State Golden Flashes W 54 - 41
2017-12-12 vs North Florida Ospreys W 79 - 34
2017-12-16 vs Purdue Fort Wayne Mastodons W 77 - 45
2017-12-21 vs Delaware State Hornets W 105 - 36
2017-12-28 vs Penn State Lady Lions W 89 - 69
2017-12-31 @ Iowa Hawkeyes L 72 - 82
2018-01-04 @ Wisconsin Badgers W 80 - 57
2018-01-07 vs Ohio State Buckeyes L 71 - 78
2018-01-10 vs Indiana Hoosiers W 84 - 79
2018-01-13 @ Nebraska Cornhuskers W 69 - 64
2018-01-16 @ Ohio State Buckeyes W 84 - 75
2018-01-20 vs Illinois Fighting Illini W 86 - 42
2018-01-23 vs Michigan State Spartans W 74 - 48
2018-01-28 @ Northwestern Wildcats W 80 - 59
2018-02-01 vs Purdue Boilermakers L 79 - 81
2018-02-04 @ Rutgers Scarlet Knights L 56 - 63
2018-02-08 vs Northwestern Wildcats W 84 - 63
2018-02-11 @ Michigan State Spartans L 61 - 66
2018-02-14 @ Minnesota Golden Gophers L 87 - 93
2018-02-22 vs Maryland Terrapins W 71 - 65
2018-03-01 vs Penn State Lady Lions W 77 - 48
2018-03-02 @ Nebraska Cornhuskers L 54 - 61
2018-03-16 vs Northern Colorado Bears W 75 - 61
2018-03-18 @ Baylor Bears L 58 - 80

2018 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
K. Flaherty K. Flaherty G 28 36.5 23.2 3.0 3.9 1.2 0.0 3.9 17.5 9.9 147 21 7.0 8.1 45.1 43.2 90.4 2.26 60.1 55.7
H. Thome H. Thome C 28 31.9 17.4 7.3 1.3 0.7 1.4 2.7 11.1 14.3 142 21 6.8 9.2 62.6 100.0 77.0 3.6 66.5 62.7
N. Munger N. Munger G 28 31.6 9.0 4.5 1.9 1.0 0.2 1.4 7.2 8.1 159 21 7.6 9.9 43.3 40.5 83.3 3.54 58.3 55.5
H. Brown H. Brown F 22 24.4 9.0 5.3 1.4 0.5 0.6 2.2 7.7 6.9 72 17 4.2 7.3 46.7 50.0 69.4 -0.16 53.8 51.5
D. Church D. Church G 28 22.4 7.5 2.8 1.9 0.6 0.2 2.1 5.8 5.1 73 21 3.5 7.1 44.1 38.2 79.7 1.72 54.9 48.1
A. Johnson A. Johnson G 23 12.8 4.4 2.7 0.9 0.6 0.5 1.2 3.6 4.3 38 18 2.1 8.7 49.4 35.0 65.0 -0.03 55.6 53.6
K. Robbins K. Robbins F 28 11.8 3.9 2.2 0.5 0.4 0.3 1.3 3.1 2.9 18 21 0.9 3.2 48.9 14.3 65.6 -2.34 52.9 49.4
J. Dunston J. Dunston F 28 32.1 3.6 9.1 3.8 1.6 0.4 1.2 4.1 13.0 109 21 5.2 7.0 40.0 0.0 33.3 0.32 39.8 40.0
K. Peace K. Peace F 16 5.0 1.3 0.9 0.3 0.1 0.3 0.2 1.4 1.2 -16 12 -1.3 -16.7 39.1 0 60.0 -3.78 41.7 39.1
P. Smeenge P. Smeenge G 9 6.6 1.1 1.1 0.6 0.2 0.2 0.6 1.0 1.7 -4 6 -0.7 -5.5 44.4 40.0 0.0 -2.97 50.6 55.6
S. Trammel S. Trammel F 9 2.7 0.2 0.2 0.0 0.0 0.0 0.3 0.1 0.0 -8 7 -1.1 -21.1 0.0 0 100.0 -2.86 53.2 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