Indiana
2023 Team Stats (30 games)
73.2
PPG
69.4
Opp
+3.9
Margin
47.8%
FG%
37.0%
3P%
71.5%
FT%
35.1
RPG
14.9
APG
11.6
TO
77.1
Pace
Model Outputs
2022-2023
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 → | 1334 (#54) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1422 (#28) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.4 (#37) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.499 (#63) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.667 (#74) | NetEff +6.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.749 (#27) | AdjNet +9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.751 (#27) | AdjNet +9.5 |
2023 Schedule & Results
2023 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Jackson-Davis
|
- | 29 | 35.4 | 21.1 | 11.0 | 4.2 | 0.9 | 3.0 | 2.7 | 14.0 | 23.6 | - | - | - | 56.7 | 0 | 70.1 | - | 62.7 | 56.7 |
J. Hood-Schifino
|
- | 28 | 34.0 | 14.3 | 4.0 | 3.6 | 0.8 | 0.3 | 2.9 | 12.5 | 7.6 | - | - | - | 42.5 | 32.0 | 77.0 | - | 52.1 | 46.9 |
R. Thompson
|
- | 26 | 23.4 | 8.2 | 5.0 | 1.0 | 1.0 | 0.8 | 1.2 | 6.5 | 8.3 | - | - | - | 48.8 | 31.4 | 65.5 | - | 55.4 | 52.1 |
Miller Kopp
|
- | 31 | 31.3 | 8.2 | 2.8 | 1.3 | 0.7 | 0.1 | 0.6 | 5.9 | 6.6 | - | - | - | 48.4 | 44.8 | 81.0 | - | 65.5 | 63.6 |
X. Johnson
|
- | 7 | 24.1 | 7.7 | 2.6 | 4.9 | 1.4 | 0.0 | 3.3 | 5.7 | 7.6 | - | - | - | 25.0 | 23.1 | 91.7 | - | 59.6 | 28.7 |
Trey Galloway
|
- | 31 | 27.8 | 6.9 | 3.0 | 2.0 | 0.7 | 0.0 | 0.8 | 5.0 | 6.9 | - | - | - | 46.5 | 46.9 | 65.1 | - | 61.2 | 56.1 |
Tamar Bates
|
G | 30 | 20.6 | 5.8 | 1.7 | 1.1 | 0.5 | 0.1 | 0.7 | 5.7 | 2.7 | - | - | - | 36.8 | 36.0 | 89.5 | - | 48.5 | 45.9 |
M. Reneau
|
- | 31 | 14.5 | 5.6 | 3.6 | 0.6 | 0.3 | 0.3 | 1.3 | 4.0 | 5.1 | -63 | -5.2 | -7.7 | 56.0 | 50.0 | 73.8 | -0.03 | 61.0 | 56.8 |
Jordan Geronimo
|
- | 22 | 12.0 | 4.0 | 2.3 | 0.3 | 0.3 | 0.5 | 0.7 | 3.1 | 3.7 | - | - | - | 52.9 | 30.8 | 61.1 | - | 57.3 | 55.9 |
L. Duncomb
|
- | 6 | 6.3 | 2.7 | 1.8 | 0.3 | 0.2 | 0.3 | 0.5 | 1.8 | 3.0 | 6 | 0.4 | 0.4 | 72.7 | 0 | 0.0 | 0.95 | 64.9 | 72.7 |
K. Banks
|
F | 21 | 5.0 | 1.8 | 0.8 | 0.3 | 0.1 | 0.0 | 0.2 | 1.1 | 1.7 | 11 | 0.9 | 2.0 | 52.2 | 33.3 | 66.7 | 0.93 | 59.8 | 54.3 |
CJ Gunn
|
- | 17 | 6.4 | 1.8 | 0.5 | 0.3 | 0.4 | 0.0 | 0.3 | 2.4 | 0.4 | 67 | 5.6 | 7.2 | 32.5 | 5.6 | 80.0 | 1.56 | 36.7 | 33.8 |
Anthony Leal
|
- | 10 | 2.3 | 0.2 | 0.2 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.5 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
H. Orbaugh
|
- | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Childress
|
- | 5 | 1.8 | 0.0 | 0.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.4 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Shipp
|
- | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Burke
|
- | 1 | 0.0 | 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