Indiana
2022 Team Stats (6 games)
67.0
PPG
66.2
Opp
+4.6
Margin
41.0%
FG%
33.3%
3P%
66.1%
FT%
41.3
RPG
15.2
APG
12.8
TO
80.1
Pace
Model Outputs
2021-2022
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 β | 1373 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1445 (#29) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 1009 (#173) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +35.5 (#41) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +21.0 (#61) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.457 (#67) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.831 (#30) | NetEff +12.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.694 (#43) | AdjNet +7.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.696 (#43) | AdjNet +7.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.626 (#97) | AdjO 70.1 | AdjD 64.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.878 (#56) | 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 β | 0.846 (#59) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1196 (#75) | RD 107 | GP 35 |
2022 Schedule & Results
2022 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
|
- | 35 | 32.3 | 18.3 | 8.1 | 1.9 | 0.6 | 2.3 | 1.7 | 6.0 | 23.5 | - | - | - | 57.9 | 0.0 | 68.9 | 1.11 | 125.6 | 57.9 |
X. Johnson
|
- | 34 | 27.7 | 12.1 | 3.8 | 5.1 | 1.2 | 0.1 | 2.6 | 5.6 | 14.1 | 237 | 2.6 | 3.9 | 36.3 | 27.9 | 75.7 | 2.76 | 92.8 | 39.5 |
R. Thompson
|
- | 35 | 28.5 | 11.1 | 7.5 | 1.4 | 1.1 | 0.7 | 1.4 | 4.3 | 16.0 | 148 | 4.2 | 6.0 | 47.4 | 23.3 | 70.6 | 1.59 | 115.9 | 49.7 |
M. Beyers
|
F | 1 | 32.0 | 9.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 13.0 | -78 | -2.7 | -5.0 | 0 | 0 | 0 | -0.28 | 0 | 0 |
D. BΓΆhm
|
F | 1 | 17.0 | 8.0 | 7.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 17.0 | -51 | -2.5 | -8.7 | 0 | 0 | 0 | -0.9 | 0 | 0 |
P. Stewart
|
- | 18 | 23.3 | 6.3 | 2.2 | 1.0 | 0.4 | 0.0 | 0.4 | 5.2 | 4.3 | 67 | 2.0 | 3.2 | 37.6 | 40.4 | 64.7 | 0.3 | 56.2 | 50.0 |
Miller Kopp
|
- | 35 | 25.1 | 6.0 | 2.5 | 1.1 | 0.4 | 0.3 | 0.9 | 2.7 | 6.7 | - | - | - | 35.5 | 37.7 | 88.2 | 0.73 | 104.0 | 46.2 |
Trey Galloway
|
- | 20 | 20.8 | 5.5 | 1.6 | 1.8 | 0.9 | 0.2 | 1.4 | 3.0 | 5.7 | 43 | 2.1 | 4.2 | 37.7 | 16.7 | 69.2 | 0.68 | 81.7 | 40.2 |
R. Phinisee
|
- | 11 | 17.9 | 4.6 | 2.0 | 1.1 | 0.8 | 0.1 | 0.7 | 5.0 | 2.9 | -9 | -0.4 | -0.8 | 32.7 | 18.5 | 0.0 | -0.07 | 44.9 | 37.3 |
Jordan Geronimo
|
- | 17 | 12.7 | 4.0 | 3.1 | 0.3 | 0.2 | 0.7 | 1.1 | 2.6 | 4.6 | 38 | 1.1 | 3.5 | 44.4 | 27.8 | 51.7 | 0.56 | 58.9 | 50.0 |
Tamar Bates
|
G | 17 | 14.4 | 3.9 | 1.3 | 0.8 | 0.3 | 0.1 | 0.6 | 3.5 | 2.3 | 15 | 0.5 | 1.3 | 33.3 | 33.3 | 92.9 | 0.33 | 50.6 | 38.3 |
S. Sims
|
F | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -25 | -1.9 | -10.8 | 0 | 0 | 0 | -0.39 | 0 | 0 |
K. Lander
|
G | 8 | 9.4 | 2.5 | 0.9 | 1.1 | 0.4 | 0.1 | 1.5 | 2.4 | 1.1 | 14 | 1.1 | 4.8 | 36.8 | 20.0 | 75.0 | 0.22 | 48.2 | 39.5 |
Anthony Leal
|
- | 17 | 10.2 | 1.9 | 0.9 | 1.1 | 0.4 | 0.1 | 0.4 | 0.4 | 3.6 | 36 | 2.1 | 8.2 | 50.0 | 40.0 | 50.0 | 0.43 | 212.6 | 66.7 |
M. Durr
|
- | 4 | 4.8 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.8 | 0.0 | 1.2 | 6 | 0.2 | 1.1 | 0 | 0 | 0 | 0.29 | 0 | 0 |
N. Childress
|
- | 3 | 3.7 | 1.0 | 1.7 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
L. Duncomb
|
- | 3 | 2.7 | 0.7 | 0.7 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 1.3 | - | - | - | 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