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Wisconsin

Also known as: Wisconsin Badgers, Wisconsin
Program History

2022 Team Stats (30 games)

70.5
PPG
66.2
Opp
+4.3
Margin
42.4%
FG%
31.6%
3P%
74.7%
FT%
35.0
RPG
11.3
APG
8.3
TO
-
Est. poss./game
72.2
Adj PPG
61.1
Adj Opp PPG
#39
Scoring Rank

Model Outputs

2021-2022
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†’ 1245 (#27) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1294 (#16) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +78 elo More โ†’ 1075 (#84) HCA +78 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More โ†’ +12.2 (#37) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.1 More โ†’ +9.5 (#62) HCA +2.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.662 (#87) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.6 More โ†’ 0.895 (#34) AdjNet +18.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.8 More โ†’ 0.897 (#33) AdjNet +18.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.2 | AdjD 61.1 More โ†’ 0.732 (#39) AdjO 72.2 | AdjD 61.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 63.6 More โ†’ 0.599 (#85) AdjO 68.0 | AdjD 63.6
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†’ 0.784 (#35) 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†’ 0.763 (#42) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 33 More โ†’ 1302 (#18) RD 108 | GP 33

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 vs St. Francis Brooklyn Terriers W 81 - 58
2021-11-12 vs Green Bay Phoenix W 72 - 34
2021-11-15 vs Providence Friars L 58 - 63
2021-11-22 vs Texas A&M Aggies W 69 - 58
2021-11-23 @ Houston Cougars W 65 - 63
2021-11-24 @ Saint Mary's Gaels W 61 - 55
2021-12-01 @ Georgia Tech Yellow Jackets W 70 - 66
2021-12-04 vs Marquette Golden Eagles W 89 - 76
2021-12-08 vs Indiana Hoosiers W 64 - 59
2021-12-11 @ Ohio State Buckeyes L 55 - 73
2021-12-15 vs Nicholls Colonels W 71 - 68
2021-12-23 vs George Mason Patriots - Preview
2021-12-29 vs Illinois State Redbirds W 89 - 85
2022-01-03 @ Purdue Boilermakers W 74 - 69
2022-01-06 vs Iowa Hawkeyes W 87 - 78
2022-01-09 @ Maryland Terrapins W 70 - 69
2022-01-13 vs Ohio State Buckeyes W 78 - 68
2022-01-18 @ Northwestern Wildcats W 82 - 76
2022-01-21 vs Michigan State Spartans L 74 - 86
2022-01-27 @ Nebraska Cornhuskers W 73 - 65
2022-01-30 vs Minnesota Golden Gophers W 66 - 60
2022-02-02 @ Illinois Fighting Illini L 67 - 80
2022-02-05 vs Penn State Nittany Lions W 51 - 49
2022-02-08 @ Michigan State Spartans W 70 - 62
2022-02-12 vs Rutgers Scarlet Knights L 65 - 73
2022-02-15 @ Indiana Hoosiers W 74 - 69
2022-02-20 vs Michigan Wolverines W 77 - 63
2022-02-23 @ Minnesota Golden Gophers W 68 - 67
2022-02-26 @ Rutgers Scarlet Knights W 66 - 61
2022-03-01 vs Purdue Boilermakers W 70 - 67
2022-03-06 vs Nebraska Cornhuskers L 73 - 74
2022-03-11 vs Michigan State Spartans L 63 - 69
2022-03-18 vs Colgate Raiders W 67 - 60
2022-03-20 vs Iowa State Cyclones L 49 - 54

2022 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%
J. Davis J. Davis - 31 34.2 19.7 8.2 2.1 1.2 0.7 2.3 15.9 13.8 137 29 4.7 5.6 42.7 30.6 79.1 2.2 52.9 46.4
Brad Davison Brad Davison G 32 34.5 13.9 4.1 2.1 0.8 0.0 0.9 10.9 9.1 160 31 5.2 6.0 38.3 34.3 86.6 1.97 55.3 48.9
Tyler Wahl Tyler Wahl - 32 30.5 11.4 5.9 1.5 1.2 0.8 1.6 8.5 10.7 178 30 5.9 7.9 51.6 17.1 70.2 3.25 58.2 52.7
Steven Crowl Steven Crowl - 33 25.4 8.8 4.4 1.5 0.3 0.3 0.9 6.8 7.4 156 31 5.0 8.1 50.0 32.5 81.4 3.54 59.7 55.8
Chucky Hepburn Chucky Hepburn - 33 30.9 7.9 2.2 2.3 1.1 0.2 1.2 6.9 5.5 131 31 4.2 5.5 38.9 35.8 69.2 0.3 52.0 47.4
Lorne Bowman Lorne Bowman - 21 10.2 3.0 1.0 0.5 0.3 0.0 0.6 2.8 1.4 21 21 1.0 3.9 33.9 39.3 50.0 -0.2 45.1 43.2
Chris Vogt Chris Vogt C 32 12.3 2.8 3.0 0.6 0.3 0.8 0.6 2.2 4.7 41 31 1.3 4.3 49.3 0.0 52.9 0.66 51.2 49.3
Ben Carlson Ben Carlson - 31 9.2 1.5 2.0 0.1 0.1 0.0 0.3 2.0 1.5 -17 30 -0.6 -2.4 32.8 5.0 53.8 -2.21 36.0 33.6
Jahcobi Neath Jahcobi Neath G 22 9.0 1.3 1.2 0.3 0.1 0.0 0.3 1.7 1.0 11 21 0.5 2.1 21.6 17.6 69.2 -2.59 32.8 25.7
Jordan Davis Jordan Davis G 27 6.5 1.3 0.9 0.1 0.1 0.1 0.2 1.4 0.9 -27 24 -1.1 -7.1 33.3 29.6 33.3 -4.25 43.4 43.6
Carter Gilmore Carter Gilmore - 22 7.8 0.9 1.0 0.4 0.1 0.2 0.1 1.2 1.2 -16 20 -0.8 -3.9 25.9 7.7 66.7 -1.18 32.1 27.8
Markus Ilver Markus Ilver - 8 3.5 0.6 0.5 0.0 0.0 0.0 0.2 1.0 -0.1 -26 7 -3.7 -42.2 12.5 0.0 75.0 -4.18 25.6 12.5
Isaac Lindsey Isaac Lindsey - 6 2.2 0.5 0.0 0.0 0.0 0.0 0.0 0.8 -0.3 -25 6 -4.2 -84.0 20.0 33.3 0 -4.86 30.0 30.0
Chris Hodges Chris Hodges F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Matthew Mors Matthew Mors F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Carter Higginbottom Carter Higginbottom G 6 1.2 0.0 0.0 0.0 0.0 0.0 0.3 0.2 -0.5 -30 5 -6.0 -220.2 0.0 0 0 -4.71 0.0 0.0
Justin Taphorn Justin Taphorn - 4 1.2 0.0 0.0 0.0 0.0 0.0 0.2 0.0 -0.2 - - - - 0 0 0 -2.54 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

2021-2022 Shot Zones

946 located field-goal attempts in 16 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Davis30% Wahl32% Davis31% Davison43% Davison36%
Points: who the team's points here most likely come from
Davis28% Davis27% Davis52% Davis57% Davis51% Davison36% Gilmore18% Davison32% Davison26% Davison24%
Misses: who misses most here

J. DavisBrad DavisonTyler WahlCarter Gilmore

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 144-227 63.4 288 J. Davis 30% (86 pts) Tyler Wahl 30% (86 pts) J. Davis 28% (23 misses) Tyler Wahl 19% (16 misses)
Paint (non-RA) 85-207 41.1 170 Tyler Wahl 32% (54 pts) J. Davis 22% (38 pts) J. Davis 27% (33 misses) Steven Crowl 17% (21 misses)
Mid-range left 54-104 51.9 108 J. Davis 31% (34 pts) Brad Davison 30% (32 pts) J. Davis 52% (26 misses) Chucky Hepburn 20% (10 misses)
Mid-range center 46-53 86.8 92 Brad Davison 43% (40 pts) J. Davis 30% (28 pts) J. Davis 57% (4 misses) Brad Davison 29% (2 misses)
Mid-range right 64-105 61.0 128 Brad Davison 36% (46 pts) J. Davis 27% (34 pts) J. Davis 51% (21 misses) Brad Davison 22% (9 misses)
Left corner 3 0-11 0.0 0 - - Brad Davison 36% (4 misses) Carter Gilmore 18% (2 misses)
Right corner 3 0-17 0.0 0 - - Carter Gilmore 18% (3 misses) J. Davis 18% (3 misses)
Above-break 3 left 0-90 0.0 0 - - Brad Davison 32% (29 misses) Chucky Hepburn 20% (18 misses)
Above-break 3 center 0-65 0.0 0 - - Brad Davison 26% (17 misses) J. Davis 25% (16 misses)
Above-break 3 right 0-67 0.0 0 - - Brad Davison 24% (16 misses) J. Davis 21% (14 misses)