๐Ÿปโฌ‡๏ธ๐Ÿ€

Cincinnati

Also known as: Cincinnati Bearcats, Cincinnati
Program History

2017 Team Stats (29 games)

73.4
PPG
62.0
Opp
+11.4
Margin
44.8%
FG%
34.9%
3P%
69.0%
FT%
36.9
RPG
15.4
APG
9.8
TO
-
Est. poss./game
75.2
Adj PPG
58.3
Adj Opp PPG
#18
Scoring Rank

Model Outputs

2016-2017
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†’ 1389 (#18) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1333 (#11) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1154 (#20) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +17.8 (#20) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +15.8 (#24) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.900 (#7) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.5 More โ†’ 0.950 (#19) AdjNet +25.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.7 More โ†’ 0.951 (#19) AdjNet +25.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.2 | AdjD 58.3 More โ†’ 0.822 (#18) AdjO 75.2 | AdjD 58.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.2 | AdjD 61.0 More โ†’ 0.735 (#19) AdjO 72.2 | AdjD 61.0
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†’ 0.871 (#19) 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†’ 0.859 (#18) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 106 | GP 36 More โ†’ 1338 (#12) RD 106 | GP 36

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Brown Bears W 84 - 55
2016-11-14 vs UAlbany Great Danes W 74 - 51
2016-11-19 @ Rhode Island Rams L 71 - 76
2016-11-20 @ Penn State Nittany Lions W 71 - 50
2016-11-23 vs Samford Bulldogs W 70 - 55
2016-11-26 vs Lipscomb Bisons W 91 - 68
2016-12-01 @ Iowa State Cyclones W 55 - 54
2016-12-04 vs Bowling Green Falcons W 85 - 56
2016-12-10 @ Butler Bulldogs L 65 - 75
2016-12-13 vs Texas Southern Tigers W 96 - 58
2016-12-17 vs Fairleigh Dickinson Knights W 119 - 68
2016-12-22 vs Marshall Thundering Herd W 93 - 91
2016-12-28 @ Temple Owls W 56 - 50
2017-01-01 vs Tulane Green Wave W 92 - 56
2017-01-07 @ Houston Cougars W 67 - 58
2017-01-12 vs SMU Mustangs W 66 - 64
2017-01-15 @ East Carolina Pirates W 55 - 46
2017-01-18 vs Temple Owls W 81 - 74
2017-01-21 @ Tulane Green Wave W 78 - 61
2017-01-26 vs Xavier Musketeers W 86 - 78
2017-01-29 vs South Florida Bulls W 94 - 53
2017-02-01 @ Tulsa Golden Hurricane W 57 - 55
2017-02-04 vs UConn Huskies W 82 - 68
2017-02-08 vs UCF Knights W 60 - 50
2017-02-12 @ SMU Mustangs L 51 - 60
2017-02-15 @ South Florida Bulls W 68 - 54
2017-02-18 vs Tulsa Golden Hurricane W 80 - 60
2017-02-23 vs Memphis Tigers W 87 - 74
2017-02-26 @ UCF Knights L 49 - 53
2017-03-02 vs Houston Cougars W 65 - 47
2017-03-05 @ UConn Huskies W 67 - 47
2017-03-10 vs Tulsa Golden Hurricane W 80 - 61
2017-03-11 vs UConn Huskies W 81 - 71
2017-03-12 @ SMU Mustangs L 56 - 71
2017-03-17 vs Kansas State Wildcats W 75 - 61
2017-03-19 @ UCLA Bruins L 67 - 79

2017 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%
Jacob Evans Jacob Evans - 32 32.1 13.2 4.3 2.6 1.2 0.8 1.3 9.0 11.9 207 27 7.7 10.8 44.6 41.0 70.6 -0.73 65.0 54.2
Kyle Washington Kyle Washington F 32 24.9 12.4 6.9 0.8 0.4 1.1 1.5 8.7 11.3 150 27 5.6 10.3 47.5 35.1 70.5 -0.22 62.5 49.8
Gary Clark Gary Clark - 32 29.7 11.3 8.2 2.1 1.0 1.2 1.2 7.4 15.2 304 28 10.9 17.8 53.0 31.0 71.2 8.55 64.4 55.7
Troy Caupain Troy Caupain G 32 32.8 10.6 4.5 4.3 1.1 0.3 1.3 8.2 11.3 259 28 9.2 13.6 39.0 33.6 68.2 3.83 56.0 47.0
Jarron Cumberland Jarron Cumberland - 31 19.3 8.4 2.4 1.5 0.9 0.2 1.0 5.6 6.7 120 25 4.8 11.2 50.6 38.0 64.8 1.56 63.1 60.6
Kevin Johnson Kevin Johnson G 32 28.6 8.2 2.1 1.3 1.2 0.1 1.0 7.1 4.8 215 28 7.7 12.9 38.5 33.1 84.8 3.16 54.7 48.5
Tre Scott Tre Scott - 30 9.9 2.9 2.3 0.5 0.5 0.3 0.5 2.2 3.8 -18 26 -0.7 -3.4 48.5 33.3 45.8 -4.76 56.2 49.2
Quadri Moore Quadri Moore F 23 7.8 2.8 1.2 0.3 0.3 0.0 0.6 2.6 1.4 34 19 1.8 9.8 33.3 27.6 82.4 -0.52 47.4 40.0
Nysier Brooks Nysier Brooks C 29 8.3 2.3 1.7 0.0 0.1 0.7 0.7 1.3 2.9 69 24 2.9 16.4 52.6 0 57.7 0.53 66.7 52.6
Justin Jenifer Justin Jenifer G 31 11.5 2.2 0.8 1.9 0.4 0.0 0.4 1.9 2.9 44 26 1.7 6.9 40.0 28.6 62.5 -1.38 52.7 46.7
Zack Tobler Zack Tobler F 9 2.4 1.4 0.6 0.1 0.1 0.0 0.3 0.8 1.1 -4 9 -0.4 -7.3 42.9 33.3 75.0 -1.46 61.8 50.0
Jackson Bart Jackson Bart F 5 1.6 0.0 0.0 0.0 0.0 0.0 0.0 0.4 -0.4 -2 5 -0.4 -9.3 0.0 0.0 0 -1.08 0.0 0.0
John Koz John Koz G 4 2.0 0.0 0.2 0.2 0.0 0.0 0.0 0.5 0.0 - - - - 0.0 0.0 0 -1.28 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