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Ball State

Also known as: Ball State Cardinals, Ball State
Program History

2017 Team Stats (5 games)

72.2
PPG
77.8
Opp
-5.6
Margin
44.2%
FG%
37.5%
3P%
67.3%
FT%
35.6
RPG
14.4
APG
15.6
TO
-
Est. poss./game
74.6
Adj PPG
74.9
Adj Opp PPG
#173
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†’ 1052 (#137) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1035 (#138) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1039 (#114) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -0.5 (#174) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -0.0 (#166) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.578 (#122) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.8 More โ†’ 0.477 (#173) AdjNet -0.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.8 More โ†’ 0.476 (#173) AdjNet -0.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.6 | AdjD 74.9 More โ†’ 0.493 (#173) AdjO 74.6 | AdjD 74.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.7 | AdjD 74.2 More โ†’ 0.512 (#160) AdjO 74.7 | AdjD 74.2
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†’ 0.521 (#157) 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†’ 0.525 (#156) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 33 More โ†’ 1039 (#137) RD 112 | GP 33

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Saint Louis Billikens W 85 - 64
2016-11-15 vs Indiana State Sycamores L 74 - 80
2016-11-18 @ Alabama Crimson Tide L 59 - 77
2016-11-21 vs Coppin State Eagles W 79 - 77
2016-11-23 @ Southern Utah Thunderbirds W 94 - 83
2016-11-27 @ Valparaiso Beacons L 73 - 79
2016-11-29 vs IU Kokomo Cougars W 92 - 52
2016-12-03 vs IU Indianapolis Jaguars L 62 - 73
2016-12-06 vs Bradley Braves W 80 - 63
2016-12-10 vs Eastern Kentucky Colonels W 91 - 86
2016-12-19 vs Longwood Lancers W 61 - 45
2016-12-22 vs Alabama State Hornets W 73 - 48
2016-12-29 @ North Florida Ospreys W 73 - 68
2017-01-03 @ Kent State Golden Flashes L 90 - 100
2017-01-07 vs Bowling Green Falcons L 71 - 76
2017-01-10 vs Miami (OH) RedHawks W 85 - 74
2017-01-14 @ Buffalo Bulls W 92 - 77
2017-01-17 vs Central Michigan Chippewas W 98 - 83
2017-01-21 @ Bowling Green Falcons L 74 - 79
2017-01-24 @ Eastern Michigan Eagles W 88 - 80
2017-01-28 vs Western Michigan Broncos W 84 - 78
2017-01-31 vs Toledo Rockets W 81 - 80
2017-02-03 vs Buffalo Bulls L 69 - 96
2017-02-07 @ Akron Zips L 63 - 65
2017-02-10 vs Ohio Bobcats L 77 - 79
2017-02-14 @ Northern Illinois Huskies W 81 - 72
2017-02-18 @ Central Michigan Chippewas W 109 - 100
2017-02-21 vs Eastern Michigan Eagles W 79 - 72
2017-02-25 @ Western Michigan Broncos L 55 - 80
2017-02-28 @ Toledo Rockets W 82 - 74
2017-03-03 vs Northern Illinois Huskies W 87 - 82
2017-03-09 vs Western Michigan Broncos W 66 - 63
2017-03-10 @ Akron Zips L 70 - 74
2017-03-15 @ Purdue Fort Wayne Mastodons L 80 - 88

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%
Tayler Persons Tayler Persons G 24 29.9 15.0 4.0 5.6 1.2 0.0 3.1 2.8 20.0 75 31 2.4 3.5 37.3 36.8 87.5 1.07 231.4 42.5
Franko House Franko House F 24 26.4 13.4 6.8 2.5 0.4 0.7 2.5 2.5 18.8 97 31 3.1 4.8 50.0 33.3 73.5 1.5 214.8 54.2
Ryan Weber Ryan Weber G 24 26.8 10.3 3.2 1.5 0.7 0.2 1.6 1.9 12.4 108 31 3.5 5.5 37.8 35.3 61.5 2.2 244.5 51.1
Trey Moses Trey Moses C 24 28.4 10.2 8.8 2.2 0.5 1.2 2.5 1.8 18.6 51 30 1.7 2.6 65.1 0 34.6 -1.18 224.1 65.1
Sean Sellers Sean Sellers G 24 25.6 9.2 2.9 1.2 0.7 0.3 1.1 1.9 11.2 -19 31 -0.6 -1.0 42.2 40.5 66.7 -2.63 213.2 58.9
Francis Kiapway Francis Kiapway G 24 25.1 8.7 1.6 1.2 0.3 0.1 0.8 2.1 9.0 76 31 2.5 4.2 40.0 41.5 66.7 1.49 183.7 57.0
Jeremie Tyler Jeremie Tyler G 13 19.5 8.2 1.4 1.2 0.9 0.1 1.5 2.1 8.2 19 20 0.9 2.0 40.7 28.6 66.7 -0.23 187.1 48.1
Tahjai Teague Tahjai Teague F 23 18.1 7.9 5.3 0.7 1.1 1.0 1.5 2.0 12.4 11 30 0.4 0.8 41.3 38.5 50.0 -2.16 180.6 46.7
Kyle Mallers Kyle Mallers F 24 10.8 1.9 1.4 0.5 0.3 0.2 0.5 0.5 3.3 -53 31 -1.7 -7.2 41.7 33.3 83.3 -4.55 157.1 50.0
DouDou Gueye DouDou Gueye C 11 5.4 0.7 1.4 0.5 0.2 0.3 0.1 0.0 2.9 -2 15 -0.1 -1.3 0 0 0 -1.95 0 0
Kaleb Mallory Kaleb Mallory G 4 4.0 0.0 0.2 0.8 0.0 0.0 0.2 0.0 0.8 -10 6 -1.7 -28.0 0 0 0 -2.75 0 0
Josh Thompson Josh Thompson G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 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