Indiana Hoosiers
2026 Team Stats (32 games)
71.4
PPG
70.2
Opp
+1.2
Margin
47.1%
FG%
37.5%
3P%
80.0%
FT%
32.5
RPG
12.6
APG
15.5
TO
69.9
Est. poss./game
74.3
Adj PPG
59.9
Adj Opp PPG
#55
Scoring 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 → | 1246 (#61) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1146 (#92) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1020 (#160) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.2 (#52) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.0 (#51) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.549 (#153) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.549 (#153) | NetEff +1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.937 (#56) | AdjNet +23.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.942 (#54) | AdjNet +24.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.788 (#55) | AdjO 74.3 | AdjD 59.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.638 (#83) | AdjO 69.9 | AdjD 63.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.806 (#59) | 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 → | 0.781 (#60) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1162 (#78) | RD 151 | GP 32 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shay Ciezki
|
G | 31 | 35.5 | 22.8 | 3.8 | 3.1 | 1.5 | 0.2 | 3.4 | 15.9 | 12.1 | 65 | 23 | 2.8 | 3.4 | 52.6 | 44.6 | 90.8 | 2.38 | 64.7 | 60.6 |
Lenée Beaumont
|
G | 32 | 34.7 | 13.3 | 4.8 | 3.0 | 0.7 | 0.0 | 2.7 | 10.6 | 8.5 | 45 | 24 | 1.9 | 2.3 | 43.1 | 37.6 | 86.3 | 3.62 | 55.6 | 50.0 |
Zania Socka-Nguemen
|
F | 12 | 25.9 | 11.8 | 8.7 | 1.2 | 0.4 | 0.2 | 3.0 | 8.2 | 11.1 | 46 | 9 | 5.1 | 8.7 | 61.2 | 0 | 70.0 | 2.48 | 63.4 | 61.2 |
Maya Makalusky
|
F | 32 | 26.8 | 9.7 | 2.9 | 0.3 | 0.4 | 0.0 | 1.0 | 7.1 | 5.3 | -8 | 24 | -0.3 | -0.5 | 44.7 | 37.6 | 80.0 | 2.32 | 62.0 | 58.8 |
Nevaeh Caffey
|
G | 32 | 31.6 | 8.5 | 3.5 | 2.5 | 0.9 | 0.1 | 2.0 | 6.3 | 7.1 | 18 | 24 | 0.8 | 1.0 | 42.1 | 41.7 | 81.3 | 1.72 | 54.6 | 45.8 |
Edessa Noyan
|
F | 32 | 22.7 | 5.8 | 5.8 | 0.9 | 0.4 | 0.5 | 1.6 | 4.3 | 7.5 | 26 | 24 | 1.1 | 2.0 | 55.1 | 26.9 | 67.6 | 0.83 | 59.6 | 57.6 |
Valentyna Kadlecova
|
G | 11 | 21.8 | 5.4 | 1.9 | 0.5 | 0.5 | 0.3 | 0.5 | 5.1 | 2.9 | 49 | 7 | 7.0 | 15.7 | 35.7 | 33.3 | 87.5 | 0.9 | 49.6 | 46.4 |
Jerni Kiaku
|
G | 28 | 14.6 | 3.3 | 2.0 | 1.5 | 0.3 | 0.0 | 1.2 | 2.5 | 3.4 | -53 | 21 | -2.5 | -6.3 | 49.3 | 33.3 | 69.0 | -1.63 | 56.3 | 52.2 |
Phoenix Stotijn
|
G | 25 | 13.8 | 2.0 | 0.7 | 1.0 | 0.1 | 0.2 | 1.2 | 2.9 | -0.2 | -32 | 18 | -1.8 | -5.5 | 26.0 | 12.8 | 61.5 | -3.72 | 32.4 | 29.5 |
Jade Ondineme
|
F | 18 | 8.3 | 1.4 | 2.2 | 0.2 | 0.2 | 0.3 | 0.6 | 1.2 | 2.6 | -12 | 13 | -0.9 | -4.3 | 52.4 | 0 | 57.1 | -2.17 | 54.0 | 52.4 |
Chloe Spreen
|
G | 11 | 4.3 | 0.7 | 0.6 | 0.3 | 0.0 | 0.0 | 0.1 | 0.5 | 1.0 | -16 | 8 | -2.0 | -16.4 | 16.7 | 0.0 | 42.9 | -3.88 | 32.9 | 16.7 |
Faith Wiseman
|
F | 15 | 6.0 | 0.4 | 1.1 | 0.2 | 0.1 | 0.2 | 0.3 | 0.6 | 1.0 | -48 | 11 | -4.4 | -27.0 | 22.2 | 0 | 50.0 | -3.85 | 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
Alumni in the Pros
Former Indiana Hoosiers players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Indiana Hoosiers game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG |
|---|---|---|---|---|---|---|---|---|
| Shay Ciezki | 2024-26 | WNBA | Phoenix Mercury | 8 | 15.6 | 8.5 | 1.5 | 1.6 |
| M. Holmes | 2019-24 | WNBA | Seattle Storm | 29 | 10.0 | 2.8 | 2.9 | 0.6 |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-09-24 | Shay Ciezki | WNBA | Phoenix Mercury | vs Las Vegas Aces | 19 | 13 | 0 | 1 | Box |
| 2026-09-23 | M. Holmes | WNBA | Seattle Storm | vs Dallas Wings | 7 | 0 | 2 | 2 | Box |
| 2026-09-21 | Shay Ciezki | WNBA | Phoenix Mercury | vs Dallas Wings | 15 | 4 | 0 | 1 | Box |
| 2026-09-20 | M. Holmes | WNBA | Seattle Storm | @ Las Vegas Aces | 16 | 4 | 5 | 0 | Box |
| 2026-09-19 | Shay Ciezki | WNBA | Phoenix Mercury | @ Dallas Wings | 21 | 4 | 3 | 1 | Box |
| 2026-09-19 | M. Holmes | WNBA | Seattle Storm | @ Golden State Valkyries | 14 | 6 | 4 | 2 | Box |
| 2026-05-03 | Grace Berger | WNBA Preseason | Dallas Wings | vs Las Vegas Aces | 9 | 2 | 1 | 2 | Box |
| 2026-04-30 | Grace Berger | WNBA Preseason | Dallas Wings | @ Indiana Fever | 14 | 3 | 2 | 3 | Box |
2025-2026 Shot Zones
1731 located field-goal attempts in 32 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Shay CiezkiLenée BeaumontMaya MakaluskyNevaeh Caffey
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 249-358 | 69.6 | 498 | Shay Ciezki 22% (110 pts) | Nevaeh Caffey 16% (82 pts) | Lenée Beaumont 25% (27 misses) | Nevaeh Caffey 20% (22 misses) |
| Paint (non-RA) | 231-510 | 45.3 | 462 | Shay Ciezki 24% (112 pts) | Lenée Beaumont 23% (104 pts) | Nevaeh Caffey 23% (64 misses) | Lenée Beaumont 23% (63 misses) |
| Mid-range left | 36-94 | 38.3 | 72 | Shay Ciezki 75% (54 pts) | Lenée Beaumont 14% (10 pts) | Shay Ciezki 47% (27 misses) | Lenée Beaumont 22% (13 misses) |
| Mid-range center | 38-81 | 46.9 | 76 | Shay Ciezki 68% (52 pts) | Lenée Beaumont 21% (16 pts) | Shay Ciezki 63% (27 misses) | Edessa Noyan 12% (5 misses) |
| Mid-range right | 28-66 | 42.4 | 56 | Shay Ciezki 61% (34 pts) | Lenée Beaumont 11% (6 pts) | Shay Ciezki 45% (17 misses) | Jerni Kiaku 16% (6 misses) |
| Left corner 3 | 33-86 | 38.4 | 99 | Maya Makalusky 24% (24 pts) | Shay Ciezki 24% (24 pts) | Maya Makalusky 28% (15 misses) | Shay Ciezki 19% (10 misses) |
| Right corner 3 | 11-37 | 29.7 | 33 | Lenée Beaumont 45% (15 pts) | Shay Ciezki 36% (12 pts) | Maya Makalusky 42% (11 misses) | Lenée Beaumont 15% (4 misses) |
| Above-break 3 left | 77-204 | 37.7 | 231 | Shay Ciezki 38% (87 pts) | Maya Makalusky 29% (66 pts) | Shay Ciezki 28% (36 misses) | Maya Makalusky 28% (35 misses) |
| Above-break 3 center | 36-103 | 35.0 | 108 | Shay Ciezki 39% (42 pts) | Maya Makalusky 17% (18 pts) | Shay Ciezki 40% (27 misses) | Edessa Noyan 15% (10 misses) |
| Above-break 3 right | 76-192 | 39.6 | 228 | Maya Makalusky 37% (84 pts) | Shay Ciezki 32% (72 pts) | Maya Makalusky 31% (36 misses) | Lenée Beaumont 21% (24 misses) |