Texas Longhorns
2026 Team Stats (39 games)
83.9
PPG
55.8
Opp
+28.2
Margin
49.7%
FG%
33.5%
3P%
71.8%
FT%
39.1
RPG
18.1
APG
12.1
TO
72.3
Est. poss./game
88.5
Adj PPG
43.9
Adj Opp PPG
#5
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 → | 1765 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1572 (#3) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1274 (#3) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +47.0 (#4) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +48.0 (#2) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.991 (#3) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.991 (#3) | NetEff +37.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#4) | AdjNet +65.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#4) | AdjNet +67.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.983 (#5) | AdjO 88.5 | AdjD 43.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.961 (#4) | AdjO 80.9 | AdjD 45.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.990 (#4) | 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 → | 0.988 (#4) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1531 (#3) | RD 93 | GP 39 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Madison Booker
|
F | 39 | 32.4 | 18.9 | 6.7 | 3.7 | 2.2 | 0.7 | 2.1 | 14.8 | 15.3 | 861 | 37 | 23.3 | 29.8 | 50.8 | 28.4 | 84.9 | 10.83 | 57.3 | 52.8 |
Jordan Lee
|
G | 39 | 31.7 | 13.2 | 2.5 | 2.5 | 1.5 | 0.5 | 1.4 | 11.8 | 7.0 | 782 | 37 | 21.1 | 27.9 | 42.2 | 34.8 | 75.0 | 5.66 | 52.3 | 50.0 |
Kyla Oldacre
|
C | 39 | 21.3 | 10.5 | 6.2 | 0.7 | 1.3 | 1.2 | 1.3 | 6.0 | 12.5 | 485 | 37 | 13.1 | 26.0 | 61.8 | 0 | 65.9 | 2.76 | 65.2 | 61.8 |
Justice Carlton
|
F | 38 | 19.3 | 8.5 | 4.0 | 0.9 | 1.1 | 0.6 | 1.3 | 6.6 | 7.2 | 388 | 36 | 10.8 | 23.9 | 53.0 | 47.4 | 73.5 | 0.26 | 57.9 | 54.8 |
Rori Harmon
|
G | 39 | 29.6 | 8.4 | 3.4 | 6.3 | 2.8 | 0.2 | 1.7 | 7.5 | 11.9 | 726 | 37 | 19.6 | 27.5 | 45.2 | 44.8 | 71.0 | 3.99 | 50.6 | 47.4 |
Aaliyah Crump
|
G | 24 | 17.5 | 7.9 | 2.2 | 1.4 | 1.0 | 0.2 | 1.0 | 7.0 | 4.7 | 264 | 23 | 11.5 | 26.5 | 41.1 | 31.5 | 77.8 | 1.67 | 51.4 | 47.9 |
Breya Cunningham
|
F | 39 | 18.9 | 7.7 | 5.6 | 0.3 | 0.9 | 0.9 | 1.0 | 5.9 | 8.5 | 507 | 37 | 13.7 | 29.5 | 59.1 | 0 | 50.9 | 3.4 | 59.0 | 59.1 |
Bryanna Preston
|
G | 30 | 14.2 | 4.9 | 1.1 | 2.3 | 0.8 | 0.1 | 0.8 | 3.7 | 4.7 | 263 | 29 | 9.1 | 26.3 | 54.1 | 44.4 | 57.1 | 2.49 | 57.2 | 55.9 |
Teya Sidberry
|
F | 34 | 14.3 | 4.8 | 2.6 | 0.6 | 0.7 | 0.3 | 0.7 | 3.3 | 5.1 | 365 | 32 | 11.4 | 32.0 | 56.2 | 40.0 | 76.9 | 3.22 | 63.5 | 59.8 |
Ashton Judd
|
G | 26 | 13.2 | 4.2 | 2.7 | 0.6 | 0.4 | 0.2 | 1.2 | 3.7 | 3.1 | 200 | 25 | 8.0 | 24.3 | 41.2 | 23.1 | 79.3 | -0.69 | 49.7 | 44.3 |
Sarah Graves
|
G | 21 | 4.1 | 1.4 | 0.7 | 0.1 | 0.1 | 0.0 | 0.0 | 1.0 | 1.3 | 75 | 18 | 4.2 | 37.2 | 50.0 | 30.8 | 66.7 | 0.77 | 60.9 | 59.1 |
Grace Prenter
|
G | 15 | 5.7 | 1.4 | 0.6 | 0.3 | 0.2 | 0.1 | 0.3 | 2.1 | 0.1 | 84 | 15 | 5.6 | 41.0 | 28.1 | 16.7 | 50.0 | 0.77 | 31.9 | 31.2 |
Lovisa Asbrink Hose
|
C | 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 Texas Longhorns players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Texas Longhorns 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.
1 player-league average(s) withheld while source season, phase, finality or game identity remains unresolved.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG |
|---|---|---|---|---|---|---|---|---|
| Ariel Atkins | 2014-18 | WNBA | Los Angeles Sparks | 42 | 26.9 | 8.5 | 2.9 | 2.8 |
| Joyner Holmes | 2016-20 | WNBA | Seattle Storm | 1 | 15.0 | 2.0 | 5.0 | 1.0 |
| Ndjakalenga Mwenentanda | 2022-25 | WNBA | Los Angeles Sparks (2 teams) | 7 | 6.4 | 1.3 | 1.3 | 0.4 |
| Rori Harmon | 2021-26 | WNBA | Washington Mystics | 15 | 5.1 | 0.8 | 0.5 | 0.9 |
| Sug Sutton | 2016-20 | WNBA | Dallas Wings (2 teams) | - | - | - | - | - |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-09-24 | Ariel Atkins | WNBA | Los Angeles Sparks | vs Golden State Valkyries | 28 | 7 | 1 | 4 | Box |
| 2026-09-22 | Rori Harmon | WNBA | Washington Mystics | vs Connecticut Sun | 1 | 0 | 0 | 0 | Box |
| 2026-09-22 | Ndjakalenga Mwenentanda | WNBA | Los Angeles Sparks | @ Las Vegas Aces | 12 | 3 | 5 | 0 | Box |
| 2026-09-22 | Ariel Atkins | WNBA | Los Angeles Sparks | @ Las Vegas Aces | 23 | 9 | 2 | 1 | Box |
| 2026-09-20 | Rori Harmon | WNBA | Washington Mystics | @ Indiana Fever | 1 | 0 | 0 | 0 | Box |
| 2026-09-20 | Ndjakalenga Mwenentanda | WNBA | Los Angeles Sparks | vs Portland Fire | 20 | 6 | 2 | 1 | Box |
| 2026-09-20 | Ariel Atkins | WNBA | Los Angeles Sparks | vs Portland Fire | 20 | 14 | 5 | 2 | Box |
| 2026-09-17 | Rori Harmon | WNBA | Washington Mystics | @ Chicago Sky | 4 | 0 | 0 | 3 | Box |
| 2026-08-30 | Sug Sutton | WNBA | Dallas Wings | vs Connecticut Sun | 11 | 2 | 3 | 1 | Box |
| 2026-08-25 | Sug Sutton | WNBA | Dallas Wings | vs Portland Fire | 6 | 0 | 0 | 1 | Box |
| 2026-08-23 | Sug Sutton | WNBA | Dallas Wings | vs Seattle Storm | 18 | 9 | 1 | 2 | Box |
| 2026-06-02 | Ndjakalenga Mwenentanda | WNBA | Golden State Valkyries | vs Portland Fire | 1 | 0 | 0 | 1 | Box |
| 2026-05-22 | Joyner Holmes | WNBA | Seattle Storm | vs Connecticut Sun | 15 | 2 | 5 | 1 | Box |
| 2026-05-03 | Kyla Oldacre | WNBA Preseason | Connecticut Sun | vs New York Liberty | 5 | 0 | 0 | 0 | Box |
| 2026-04-29 | Latasha Lattimore | WNBA Preseason | Chicago Sky | vs Atlanta Dream | 12 | 2 | 2 | 0 | Box |
| 2026-04-29 | Laila Phelia | WNBA Preseason | Atlanta Dream | @ Chicago Sky | 11 | 0 | 0 | 0 | Box |
| 2026-04-25 | Latasha Lattimore | WNBA Preseason | Chicago Sky | @ Phoenix Mercury | 11 | 4 | 0 | 0 | Box |
2025-2026 Shot Zones
2577 located field-goal attempts in 39 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).
Madison BookerJordan LeeKyla OldacreBreya CunninghamAaliyah Crump
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 492-717 | 68.6 | 984 | Kyla Oldacre 20% (198 pts) | Breya Cunningham 16% (156 pts) | Kyla Oldacre 20% (45 misses) | Breya Cunningham 16% (37 misses) |
| Paint (non-RA) | 305-614 | 49.7 | 610 | Breya Cunningham 18% (110 pts) | Madison Booker 18% (108 pts) | Madison Booker 17% (54 misses) | Breya Cunningham 15% (45 misses) |
| Mid-range left | 123-317 | 38.8 | 246 | Madison Booker 47% (116 pts) | Rori Harmon 26% (64 pts) | Madison Booker 34% (66 misses) | Rori Harmon 22% (42 misses) |
| Mid-range center | 57-138 | 41.3 | 114 | Madison Booker 44% (50 pts) | Rori Harmon 18% (20 pts) | Madison Booker 33% (27 misses) | Rori Harmon 25% (20 misses) |
| Mid-range right | 142-305 | 46.6 | 284 | Madison Booker 51% (144 pts) | Rori Harmon 17% (48 pts) | Madison Booker 37% (60 misses) | Rori Harmon 20% (33 misses) |
| Left corner 3 | 10-46 | 21.7 | 30 | Jordan Lee 70% (21 pts) | Aaliyah Crump 20% (6 pts) | Jordan Lee 36% (13 misses) | Aaliyah Crump 17% (6 misses) |
| Right corner 3 | 14-35 | 40.0 | 42 | Jordan Lee 71% (30 pts) | Aaliyah Crump 14% (6 pts) | Jordan Lee 52% (11 misses) | Ashton Judd 10% (2 misses) |
| Above-break 3 left | 47-158 | 29.7 | 141 | Jordan Lee 36% (51 pts) | Madison Booker 23% (33 pts) | Jordan Lee 33% (37 misses) | Madison Booker 25% (28 misses) |
| Above-break 3 center | 26-71 | 36.6 | 78 | Aaliyah Crump 27% (21 pts) | Jordan Lee 19% (15 pts) | Jordan Lee 29% (13 misses) | Madison Booker 20% (9 misses) |
| Above-break 3 right | 67-176 | 38.1 | 201 | Jordan Lee 49% (99 pts) | Madison Booker 12% (24 pts) | Jordan Lee 55% (60 misses) | Aaliyah Crump 19% (21 misses) |