Indiana Hoosiers
2026 Team Stats (29 games)
71.5
PPG
71.0
Opp
+0.5
Margin
47.1%
FG%
36.9%
3P%
81.3%
FT%
32.8
RPG
12.4
APG
15.5
TO
76.9
Pace
74.2
AdjO
59.3
AdjD
#55
Rank
Model Outputs
2025-2026
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 → | 1052 (#146) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1182 (#77) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1017 (#164) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.6 (#55) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +28.1 (#50) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.531 (#158) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.608 (#142) | NetEff +3.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.931 (#55) | AdjNet +22.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.937 (#55) | AdjNet +23.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.796 (#55) | AdjO 74.2 | AdjD 59.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.645 (#94) | AdjO 70.0 | AdjD 63.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.918 (#57) | 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 → | 0.889 (#63) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1161 (#91) | RD 153 | GP 29 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Ciezki
|
G | 28 | 36.0 | 22.9 | 4.1 | 3.0 | 1.5 | 0.2 | 3.5 | 16.1 | 12.2 | -69 | -3.0 | -3.3 | 52.7 | 44.4 | 89.7 | -1.07 | 64.6 | 60.7 |
L. Beaumont
|
G | 29 | 35.1 | 12.9 | 4.9 | 3.0 | 0.8 | 0.0 | 2.7 | 10.7 | 8.2 | -14 | -0.6 | -0.9 | 41.6 | 32.4 | 86.2 | 2.3 | 53.4 | 47.4 |
Z. Socka-Nguemen
|
F | 11 | 26.0 | 12.0 | 8.8 | 1.1 | 0.4 | 0.3 | 2.9 | 8.5 | 11.2 | -7 | -0.6 | -0.8 | 61.3 | 0 | 75.0 | 0.14 | 63.7 | 61.3 |
M. Makalusky
|
F | 29 | 27.4 | 10.2 | 2.9 | 0.3 | 0.4 | 0.0 | 1.1 | 7.3 | 5.4 | -52 | -2.3 | -3.5 | 45.3 | 38.8 | 79.6 | -0.11 | 63.0 | 59.9 |
N. Caffey
|
G | 29 | 32.6 | 8.7 | 3.6 | 2.6 | 0.8 | 0.1 | 2.2 | 6.4 | 7.1 | -49 | -2.1 | -2.7 | 41.7 | 41.7 | 81.2 | 1.5 | 54.7 | 45.7 |
E. Noyan
|
F | 29 | 22.8 | 5.8 | 6.0 | 0.9 | 0.4 | 0.6 | 1.6 | 4.3 | 7.8 | 25 | 1.1 | 1.9 | 56.0 | 26.1 | 69.7 | 2.09 | 60.6 | 58.4 |
V. Kadlecova
|
G | 9 | 22.1 | 5.7 | 2.1 | 0.6 | 0.6 | 0.3 | 0.2 | 5.2 | 3.8 | 30 | 2.7 | 4.5 | 36.2 | 32.3 | 87.5 | 2.76 | 50.5 | 46.8 |
J. Kiaku
|
G | 25 | 14.7 | 3.4 | 2.0 | 1.4 | 0.3 | 0.0 | 1.2 | 2.6 | 3.3 | -6 | -0.3 | -1.1 | 48.4 | 33.3 | 70.4 | -0.34 | 56.0 | 51.6 |
P. Stotijn
|
G | 22 | 12.8 | 1.5 | 0.6 | 0.9 | 0.0 | 0.2 | 1.2 | 2.5 | -0.4 | 46 | 2.6 | 5.7 | 21.8 | 10.3 | 70.0 | 2.99 | 28.6 | 24.5 |
J. Ondineme
|
F | 15 | 8.7 | 1.5 | 2.3 | 0.3 | 0.2 | 0.3 | 0.6 | 1.1 | 2.8 | 21 | 1.9 | 15.0 | 58.8 | 0 | 60.0 | 2.64 | 59.9 | 58.8 |
C. Spreen
|
G | 9 | 2.8 | 0.8 | 0.6 | 0.2 | 0.0 | 0.0 | 0.0 | 0.3 | 1.2 | 4 | 0.6 | 5.0 | 33.3 | 0 | 62.5 | -0.1 | 53.7 | 33.3 |
F. Wiseman
|
F | 13 | 6.5 | 0.5 | 1.2 | 0.2 | 0.1 | 0.2 | 0.4 | 0.7 | 1.2 | -6 | -0.6 | -3.8 | 22.2 | 0 | 50.0 | -0.33 | 27.9 | 22.2 |
Sydney Fenn
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Zoe Jackson
|
F | 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