Ball State
2019 Team Stats (5 games)
81.6
PPG
74.6
Opp
+7.0
Margin
46.9%
FG%
27.4%
3P%
72.4%
FT%
43.8
RPG
14.6
APG
15.4
TO
-
Est. poss./game
73.6
Adj PPG
69.4
Adj Opp PPG
#112
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1015 (#162) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 950 (#248) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +4.6 (#111) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.0 (#155) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.585 (#120) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.625 (#127) | AdjNet +4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.628 (#125) | AdjNet +4.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.596 (#112) | AdjO 73.6 | AdjD 69.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.500 (#169) | AdjO 68.4 | AdjD 68.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.530 (#155) | 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. More โ | 0.510 (#165) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 982 (#186) | RD 130 | GP 32 |
2019 Schedule & Results
2019 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
|
G | 30 | 32.1 | 17.0 | 3.9 | 4.1 | 1.0 | 0.1 | 3.3 | 3.1 | 19.9 | 35 | 29 | 1.2 | 1.5 | 42.4 | 30.0 | 90.9 | 1.15 | 239.9 | 47.3 |
Tahjai Teague
|
F | 30 | 28.0 | 13.4 | 7.4 | 1.2 | 1.3 | 1.0 | 2.1 | 2.5 | 19.7 | 32 | 29 | 1.1 | 1.6 | 50.0 | 20.0 | 72.4 | 0.44 | 231.1 | 52.0 |
K.J. Walton
|
G | 29 | 26.7 | 12.9 | 4.3 | 0.9 | 1.3 | 0.3 | 2.0 | 2.4 | 15.3 | 90 | 28 | 3.2 | 4.9 | 58.6 | 0.0 | 69.0 | 3.38 | 226.0 | 58.6 |
Trey Moses
|
C | 29 | 28.0 | 8.7 | 6.9 | 2.5 | 0.9 | 1.3 | 2.7 | 1.7 | 16.0 | 49 | 28 | 1.8 | 2.6 | 53.1 | 0 | 50.0 | 1.45 | 211.6 | 53.1 |
Ishmael El-Amin
|
G | 17 | 22.2 | 7.2 | 1.8 | 1.0 | 0.7 | 0.2 | 1.1 | 1.8 | 8.1 | -79 | 17 | -4.6 | -8.9 | 56.7 | 43.8 | 71.4 | -4.59 | 185.9 | 68.3 |
Kyle Mallers
|
F | 30 | 29.4 | 6.3 | 4.5 | 1.1 | 0.9 | 0.5 | 2.0 | 1.4 | 9.8 | 10 | 29 | 0.3 | 0.5 | 27.9 | 12.9 | 75.0 | -1.37 | 195.7 | 32.6 |
Brachen Hazen
|
F | 14 | 18.7 | 5.4 | 4.1 | 0.5 | 0.4 | 0.4 | 1.2 | 0.7 | 8.9 | 11 | 16 | 0.7 | 1.7 | 50.0 | 0.0 | 75.0 | 1.0 | 323.1 | 50.0 |
Zach Gunn
|
F | 25 | 14.7 | 5.2 | 2.9 | 0.4 | 0.1 | 0.1 | 0.3 | 0.9 | 7.6 | -14 | 23 | -0.6 | -1.9 | 50.0 | 42.1 | 75.0 | 0.63 | 256.7 | 68.2 |
Josh Thompson
|
G | 30 | 13.0 | 2.7 | 1.1 | 1.1 | 0.4 | 0.1 | 0.6 | 0.7 | 4.1 | -17 | 29 | -0.6 | -2.0 | 30.0 | 20.0 | 75.0 | -1.93 | 188.4 | 35.0 |
Austin Nehls
|
G | 27 | 12.9 | 2.6 | 1.2 | 0.5 | 0.2 | 0.0 | 0.3 | 0.3 | 3.9 | 37 | 25 | 1.5 | 5.0 | 25.0 | 14.3 | 88.9 | 1.56 | 288.5 | 31.2 |
Blake Huggins
|
C | 10 | 8.1 | 2.4 | 2.2 | 0.5 | 0.0 | 0.4 | 0.3 | 0.7 | 4.5 | -9 | 8 | -1.1 | -6.7 | 28.6 | 0 | 42.9 | -1.99 | 119.0 | 28.6 |
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