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Ohio State

Also known as: Ohio State Buckeyes
Program History

2015 Team Stats (23 games)

74.6
PPG
64.0
Opp
+10.6
Margin
49.2%
FG%
36.3%
3P%
66.4%
FT%
35.0
RPG
15.7
APG
11.7
TO
-
Est. poss./game
76.3
Adj PPG
58.6
Adj Opp PPG
#10
Scoring Rank

Model Outputs

2014-2015
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†’ 1270 (#30) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1225 (#30) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 1095 (#52) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +18.8 (#10) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +14.7 (#14) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.886 (#11) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.9 More โ†’ 0.957 (#12) AdjNet +26.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +27.3 More โ†’ 0.960 (#12) AdjNet +27.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.3 | AdjD 58.6 More โ†’ 0.833 (#10) AdjO 76.3 | AdjD 58.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.9 | AdjD 61.5 More โ†’ 0.703 (#17) AdjO 70.9 | AdjD 61.5
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†’ 0.852 (#14) 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†’ 0.832 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 35 More โ†’ 1230 (#35) RD 105 | GP 35

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs UMass Lowell River Hawks W 92 - 55
2014-11-18 vs Marquette Golden Eagles W 74 - 63
2014-11-23 vs Sacred Heart Pioneers W 106 - 48
2014-11-26 vs Campbell Fighting Camels W 91 - 64
2014-11-28 vs James Madison Dukes W 73 - 56
2014-12-02 @ Louisville Cardinals L 55 - 64
2014-12-06 vs Colgate Raiders W 70 - 50
2014-12-10 vs High Point Panthers W 97 - 43
2014-12-13 vs Morehead State Eagles W 87 - 71
2014-12-17 vs North Carolina A&T Aggies W 97 - 55
2014-12-20 @ North Carolina Tar Heels L 74 - 82
2014-12-22 vs Miami (OH) RedHawks W 93 - 55
2014-12-27 vs Wright State Raiders W 100 - 55
2014-12-30 vs Iowa Hawkeyes L 65 - 71
2015-01-03 vs Illinois Fighting Illini W 77 - 61
2015-01-06 @ Minnesota Golden Gophers W 74 - 72
2015-01-10 @ Indiana Hoosiers L 66 - 69
2015-01-13 vs Michigan Wolverines W 71 - 52
2015-01-17 @ Iowa Hawkeyes L 67 - 76
2015-01-22 @ Northwestern Wildcats W 69 - 67
2015-01-25 vs Indiana Hoosiers W 82 - 70
2015-01-29 vs Maryland Terrapins W 80 - 56
2015-02-04 @ Purdue Boilermakers L 58 - 60
2015-02-08 @ Rutgers Scarlet Knights W 79 - 60
2015-02-11 vs Penn State Nittany Lions W 75 - 55
2015-02-14 @ Michigan State Spartans L 56 - 59
2015-02-22 @ Michigan Wolverines L 57 - 64
2015-02-26 vs Nebraska Cornhuskers W 81 - 57
2015-03-01 vs Purdue Boilermakers W 65 - 61
2015-03-04 @ Penn State Nittany Lions W 77 - 67
2015-03-08 vs Wisconsin Badgers L 48 - 72
2015-03-12 vs Minnesota Golden Gophers W 79 - 73
2015-03-13 @ Michigan State Spartans L 67 - 76
2015-03-19 @ VCU Rams W 75 - 72
2015-03-21 @ Arizona Wildcats L 58 - 73

2015 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%
D'Angelo Russell D'Angelo Russell - 33 34.3 19.1 5.6 5.0 1.5 0.3 2.9 11.1 17.6 312 30 10.4 13.5 44.7 40.4 77.4 3.15 75.0 53.8
Sam Thompson Sam Thompson F 33 33.1 10.1 3.8 1.8 1.4 1.0 1.3 6.5 10.3 294 30 9.8 13.2 46.0 27.1 69.4 2.1 68.0 49.8
Marc Loving Marc Loving F 30 23.8 9.5 3.8 0.7 0.5 0.3 1.2 4.7 8.7 251 28 9.0 16.3 44.7 39.1 75.9 -0.01 85.3 53.5
Jae'Sean Tate Jae'Sean Tate - 33 22.2 8.8 5.0 0.3 0.8 0.5 1.2 4.8 9.5 139 30 4.6 9.3 63.9 13.3 46.8 0.29 75.6 64.6
Shannon Scott Shannon Scott G 33 30.5 8.5 3.5 5.6 1.5 0.1 2.4 6.5 10.5 343 30 11.4 16.1 41.3 28.8 75.0 5.42 60.0 45.3
Amir Williams Amir Williams C 32 19.6 6.3 4.5 0.3 0.7 1.5 0.9 2.9 9.5 174 28 6.2 13.8 68.1 0 67.7 -0.25 82.8 68.1
Kam Williams Kam Williams G 33 14.0 5.6 1.0 0.5 0.5 0.1 0.2 3.6 4.0 165 30 5.5 16.1 50.0 35.0 88.2 3.88 73.7 58.9
Keita Bates-Diop Keita Bates-Diop - 31 9.5 3.6 2.1 0.5 0.4 0.5 0.4 2.4 4.3 114 27 4.2 18.9 48.6 42.9 63.6 0.9 66.9 56.8
Anthony Lee Anthony Lee F 19 10.5 3.1 2.2 0.2 0.0 0.4 0.6 1.3 3.9 92 19 4.8 18.3 68.0 0 55.6 0.39 88.1 68.0
Trey McDonald Trey McDonald C 33 11.5 2.5 2.2 0.2 0.2 0.5 0.5 1.5 3.6 122 30 4.1 14.3 51.0 0 50.0 0.16 64.0 51.0
Jake Lorbach Jake Lorbach F 8 1.6 0.0 0.0 0.0 0.1 0.0 0.2 0.1 -0.2 -1 7 -0.1 -3.7 0.0 0 0 -1.79 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