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Milwaukee

Also known as: Milwaukee Panthers
Program History

2018 Team Stats (12 games)

70.3
PPG
-
Opp
-
Margin
43.6%
FG%
36.4%
3P%
71.1%
FT%
36.3
RPG
14.3
APG
13.1
TO
-
Est. poss./game
65.3
Adj PPG
67.9
Adj Opp PPG
#200
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†’ 903 (#225) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 952 (#209) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1003 (#170) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -2.9 (#201) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +0.3 (#166) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.504 (#166) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.1 More โ†’ 0.413 (#195) AdjNet -3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.1 More โ†’ 0.412 (#195) AdjNet -3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 67.9 More โ†’ 0.441 (#200) AdjO 65.3 | AdjD 67.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.3 | AdjD 66.3 More โ†’ 0.522 (#145) AdjO 67.3 | AdjD 66.3
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†’ 0.443 (#200) 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†’ 0.460 (#191) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 31 More โ†’ 899 (#235) RD 143 | GP 31

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Wisconsin La Crosse Eagles W 83 - 73
2017-11-13 @ Iowa State Cyclones W 74 - 56
2017-11-17 vs Concordia St. Paul Golden Bears L 55 - 69
2017-11-18 vs Florida International Panthers W 66 - 51
2017-11-19 vs Elon Phoenix W 72 - 71
2017-11-24 @ Wisconsin Badgers L 49 - 71
2017-11-29 @ Northern Illinois Huskies W 75 - 62
2017-12-02 vs Montana State Bobcats L 64 - 68
2017-12-05 @ Jacksonville Dolphins W 62 - 52
2017-12-09 @ Western Illinois Leathernecks L 69 - 90
2017-12-13 @ Belmont Bruins L 63 - 82
2017-12-16 vs Loyola Chicago Ramblers W 73 - 56
2017-12-22 vs Western Michigan Broncos L 63 - 66
2017-12-28 vs Oakland Golden Grizzlies L 68 - 76
2017-12-30 vs Detroit Mercy Titans W 87 - 79
2018-01-04 @ Youngstown State Penguins L 63 - 72
2018-01-06 @ Cleveland State Vikings W 67 - 63
2018-01-10 @ IU Indianapolis Jaguars L 71 - 72
2018-01-12 @ UIC Flames L 73 - 88
2018-01-15 @ Green Bay Phoenix L 92 - 99
2018-01-18 vs Northern Kentucky Norse L 64 - 91
2018-01-20 vs Wright State Raiders W 66 - 61
2018-01-25 vs Youngstown State Penguins W 66 - 55
2018-01-27 vs Cleveland State Vikings W 70 - 47
2018-01-29 vs UIC Flames L 56 - 74
2018-02-02 vs Green Bay Phoenix W 76 - 58
2018-02-08 @ Northern Kentucky Norse L 52 - 54
2018-02-10 @ Wright State Raiders W 74 - 73
2018-02-16 vs IU Indianapolis Jaguars L 71 - 76
2018-02-22 @ Detroit Mercy Titans W 72 - 49
2018-02-24 @ Oakland Golden Grizzlies L 70 - 72
2018-03-04 @ UIC Flames W 80 - 75
2018-03-05 @ Wright State Raiders L 53 - 59

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%
Jeremiah Bell Jeremiah Bell G 32 30.5 14.1 3.2 1.8 1.2 0.1 1.4 5.6 13.4 -38 16 -2.4 -3.3 44.1 43.4 75.0 -0.57 113.9 56.1
Brock Stull Brock Stull G 31 35.9 13.4 4.8 3.1 0.6 0.1 2.2 5.7 14.1 9 15 0.6 0.7 39.9 42.0 74.5 0.53 104.2 50.3
Bryce Nze Bryce Nze F 33 29.5 10.3 8.5 1.3 0.8 1.5 2.1 3.4 16.8 7 17 0.4 0.6 56.6 30.8 48.4 0.21 134.2 58.4
Brett Prahl Brett Prahl F 33 29.7 9.4 5.0 1.3 0.5 1.4 1.9 3.1 12.7 -3 17 -0.2 -0.3 56.3 0.0 88.0 0.57 136.0 56.3
Bryce Barnes Bryce Barnes G 32 20.8 6.5 2.2 1.8 0.9 0.1 1.4 2.5 7.4 -64 17 -3.8 -8.4 34.6 33.3 91.7 -3.19 120.5 40.7
Carson Warren-Newsome Carson Warren-Newsome G 27 16.0 6.0 1.9 0.7 0.7 0.1 0.8 2.9 5.7 -32 14 -2.3 -7.4 38.0 31.7 73.1 -2.97 90.1 46.2
Jeremy Johnson Jeremy Johnson G 18 19.2 5.0 2.4 0.8 0.6 0.3 0.4 1.2 7.6 - - - - 42.9 28.6 66.7 - 201.6 52.4
Vance Johnson Vance Johnson F 33 14.6 4.6 3.6 0.2 0.2 0.4 1.1 1.8 6.2 -58 16 -3.6 -10.8 52.5 25.0 70.3 -3.69 100.3 53.4
August Haas August Haas G 32 20.1 3.8 2.0 2.8 0.8 0.1 1.3 1.4 6.9 10 17 0.6 1.3 39.1 35.3 44.4 0.09 114.1 45.7
Sam Burkart Sam Burkart G 6 1.3 0.5 0.0 0.0 0.0 0.0 0.0 0.2 0.3 - - - - 100.0 100.0 0 - 150.0 150.0
Alex Prahl Alex Prahl F 11 1.8 0.3 0.5 0.0 0.0 0.0 0.0 0.1 0.7 - - - - 0.0 0 0 - 150.0 0.0
Seth Dittmer Seth Dittmer C 6 2.0 0.3 0.8 0.0 0.0 0.0 0.0 0.0 1.2 - - - - 0 0 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