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Ball State

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Also known as: Ball State Cardinals, Ball State
Program History
Coach: Billy Taylor

2013 Team Stats (2 games)

60.5
PPG
89.0
Opp
-28.5
Margin
39.0%
FG%
20.7%
3P%
71.7%
FT%
31.0
RPG
8.0
APG
17.5
TO
-
Est. poss./game
62.6
Adj PPG
68.3
Adj Opp PPG
#256
Scoring Rank

Model Outputs

2012-2013
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 → 916 (#217) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 940 (#209) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More → 1009 (#161) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -6.0 (#256) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -5.6 (#250) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.351 (#236) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.3 More → 0.255 (#252) AdjNet -9.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.4 More → 0.251 (#254) AdjNet -9.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.6 | AdjD 68.3 More → 0.373 (#256) AdjO 62.6 | AdjD 68.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.3 | AdjD 69.0 More → 0.415 (#252) AdjO 65.3 | AdjD 69.0
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 → 0.376 (#231) 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 → 0.385 (#233) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 29 More → 960 (#203) RD 135 | GP 29

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Grambling Tigers W 78 - 51
2012-11-16 vs Wofford Terriers W 66 - 61
2012-11-20 vs Indiana State Sycamores L 48 - 68
2012-11-25 @ Indiana Hoosiers L 53 - 101
2012-11-28 vs Cleveland State Vikings L 63 - 69
2012-12-01 @ Butler Bulldogs L 53 - 67
2012-12-05 vs Holy Cross Saints W 76 - 57
2012-12-08 vs South Dakota Coyotes W 62 - 51
2012-12-15 @ South Dakota Coyotes W 80 - 73
2012-12-18 @ Purdue Boilermakers L 56 - 66
2012-12-23 vs IUPUI Jaguars L 68 - 77
2013-01-02 vs Norfolk State Spartans W 62 - 61
2013-01-09 @ Eastern Michigan Eagles W 60 - 58
2013-01-12 vs Kent State Golden Flashes L 47 - 61
2013-01-16 @ Akron Zips L 64 - 71
2013-01-19 @ Central Michigan Chippewas L 57 - 71
2013-01-23 vs Buffalo Bulls L 63 - 66
2013-01-26 @ Miami (OH) Redhawks W 82 - 62
2013-01-30 vs Toledo Rockets L 78 - 85
2013-02-02 @ Bowling Green Falcons L 59 - 70
2013-02-06 vs Ohio Bobcats L 42 - 69
2013-02-09 vs Western Michigan Broncos W 65 - 62
2013-02-13 @ Northern Illinois Huskies W 56 - 52
2013-02-16 vs Eastern Michigan Eagles L 50 - 56
2013-02-23 @ Southeast Missouri State Redhawks W 85 - 82
2013-02-27 vs Central Michigan Chippewas W 95 - 90
2013-03-02 @ Toledo Rockets W 86 - 72
2013-03-05 @ Western Michigan Broncos W 89 - 85
2013-03-09 vs Northern Illinois Huskies W 53 - 51
2013-03-13 vs Buffalo Bulls L 61 - 76

2013 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%
Jauwan Scaife Jauwan Scaife G 29 33.3 16.8 2.7 2.6 0.9 0.2 2.4 2.8 17.8 -71 23 -3.1 -4.2 38.3 30.4 77.1 -0.46 252.6 46.9
Jesse Berry Jesse Berry G 26 29.4 13.1 2.1 2.5 0.7 0.1 3.2 2.6 12.7 -46 21 -2.2 -3.3 43.3 42.5 77.1 0.13 206.3 56.0
Majok Majok Majok Majok F 29 31.2 10.4 9.6 0.6 0.6 0.8 2.3 1.9 17.8 -70 23 -3.0 -4.2 58.2 0 65.1 -1.13 205.0 58.2
Chris Bond Chris Bond F 29 29.3 9.0 6.1 1.4 2.0 0.6 2.1 1.9 15.1 -68 23 -3.0 -4.6 63.6 0 71.4 -0.32 213.4 63.6
Marcus Posley Marcus Posley G 29 22.3 6.2 1.9 2.8 0.7 0.0 2.0 1.3 8.4 -33 23 -1.4 -2.9 28.9 29.4 28.6 -0.62 220.3 35.5
Matt Kamieniecki Matt Kamieniecki F 27 20.9 4.6 5.9 1.1 0.9 0.4 0.9 0.6 11.3 -18 21 -0.9 -1.9 29.4 0 63.6 -0.5 283.9 29.4
Zach Fields Zach Fields C 28 15.1 3.0 2.2 0.3 0.2 0.2 1.2 0.6 4.2 -86 23 -3.7 -10.8 43.8 0 100.0 -5.22 251.8 43.8
Michael Ramey Michael Ramey G 9 10.3 2.1 0.4 0.0 0.0 0.0 0.4 0.9 1.2 4 8 0.5 2.1 25.0 16.7 0 1.09 118.8 31.2
Tyler Koch Tyler Koch F 18 12.1 1.5 2.0 0.7 0.1 0.1 0.7 0.7 2.9 -25 15 -1.7 -6.1 50.0 0.0 0 -2.72 112.5 50.0
Bo Calhoun Bo Calhoun F 26 9.3 1.5 1.8 0.2 0.3 0.2 0.7 0.2 3.1 7 20 0.3 1.9 75.0 0 50.0 -1.09 399.6 75.0
Chase Brogna Chase Brogna G 12 10.2 1.2 0.2 0.6 0.2 0.0 0.2 0.3 1.8 -29 10 -2.9 -19.3 50.0 50.0 0 -3.33 187.5 75.0
Rocco Belcaster Rocco Belcaster F 2 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -0.84 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