Auburn at Texas Tech
Women's · Friday, November 13, 2026, 7:00 PM ET at United Supermarkets Arena. Auburn our rank 79 · 3-0; Texas Tech our rank 33 · 2-0.
Who will win Auburn vs Texas Tech?
The model gives Texas Tech a 89% chance to beat Auburn, with a projected score of Texas Tech 66, Auburn 51.
Half of games like thisFour in five
Calls of 80–90% have been right 85.0% of the time in 7,719 past games, and the typical miss on the margin is 9.5 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.
Players to watch
| Player | Pts | Reb | Ast | Last games | Chance of |
|---|---|---|---|---|---|
| Texas Tech | |||||
| HooksG · 26 min | 12.5 | 4.1 | 1.2 | 10+ 65% | |
| BristowG · 33 min | 10.9 | 6.8 | 2.0 | 10+ 55% | |
| OkechukwuC · 22 min | 10.4 | 6.3 | 0.7 | 10+ 51% | |
| ColeG · 30 min | 9.9 | 4.4 | 2.4 | 10+ 47% | |
| Auburn | |||||
| PetersonF · 23 min | 6.7 | 6.5 | 0.4 | 5+ 62% | |
| HarrisG · 25 min | 6.5 | 2.2 | 1.4 | 5+ 61% | |
| OshoF · 26 min | 6.4 | 4.4 | 0.8 | 5+ 60% | |
| StotijnG · 23 min | 5.3 | 1.9 | 1.1 | 5+ 50% | |
Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line
The game without one player
Without Jalynn Bristow: Auburn 26%Texas Tech 74%
The white mark is the call with her: Texas Tech 89%.
| Player | Points a game she adds | Texas Tech without her | Change | Projected score |
|---|---|---|---|---|
| Texas Tech | ||||
| Jalynn Bristow | 7.0 | 74% | −15 | 55–63 |
| Destinee Hooks | 3.9 | 81% | −8 | 53–65 |
| Jalayah Ingram | 3.7 | 82% | −7 | 53–65 |
| Ambrosia Cole | 2.8 | 84% | −5 | 53–65 |
| Auburn | ||||
| Jessica Peterson | 2.3 | 92% | +3 | 50–68 |
| Ja'Mia Harris | 2.0 | 91% | +2 | 50–67 |
| Danielle Osho | 1.8 | 91% | +2 | 50–67 |
| Quanirah Montague | 1.6 | 91% | +2 | 51–67 |
Change is in Texas Tech's win chance, in points. Scores read Auburn, then Texas Tech. A player's value is what the team is better by with her than with a replacement, from the player ratings.
Model against the line
Your call
All of today's gamesPlay-by-play
Team numbers
Form
Auburn 3-0WWW
- Nov 10W 74-56vs Furman
- Nov 5W 56-48vs Southern Miss
- Nov 2W 84-35vs Alabama St
- Last 3
- 3–0, scoring 71.3 and allowing 46.3
Texas Tech 2-0WW
- Last 2
- 2–0, scoring 71.0 and allowing 32.5
The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.
Offense against defense
| Auburn | Texas Tech | |
|---|---|---|
| Points scored per 100 possessions | 93.8 130th | 99.9 72nd |
| Points allowed per 100 | 83.0 45th | 75.6 7th |
| Possessions a game | 71.2 265th | 71.4 234th |
| Shooting (effective field-goal %) | 44.5% 245th | 43.9% 283rd |
| Opponents' shooting | 40.1% 6th | 39.6% 2nd |
| Turnovers, share of possessions | 25.7% 314th | 24.0% 221st |
| Offensive rebounds, share of misses | 35.1% 79th | 34.5% 98th |
| Free throws per shot | 0.28 4th | 0.26 11th |
The widest gap: Texas Tech's defense (7th) against Auburn's offense (130th), of 363 teams.
First half
- Projected halftime score
- Auburn 24, Texas Tech 32
- First-half margin
- Texas Tech by 8.7
- First-half points, both teams
- 55.8
- Projected second half
- Auburn 28, Texas Tech 34
- Second-half points, both teams
- 62.0
- Tied at the half
- 4%
- Auburn, first halves so far
- Led 3 of 3 · 34.0 scored, 22.0 allowed
- Texas Tech, first halves so far
- Led 2 of 2 · 36.5 scored, 13.5 allowed
Our own projection, not a sportsbook's first-half line. On 10,911 past games it had not seen, the halftime leader was right 73.0% of the time and the first-half total was off by 8.0 points on average. This season: 404 of 492 halftime leaders right. Scorecard
Player projections
Auburn
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Danielle OshoF | 26 | 6.4 | 4.4 | 0.8 | 0.7 |
| 5+ pts 60% · 5+ reb 43% · 1+ threes 45% | |||||
| Ja'Mia HarrisG | 25 | 6.5 | 2.2 | 1.4 | 0.6 |
| 5+ pts 61% · 2+ reb 58% · 1+ threes 44% | |||||
| Phoenix StotijnG | 23 | 5.3 | 1.9 | 1.1 | 0.5 |
| 5+ pts 50% · 2+ reb 50% · 1+ threes 37% | |||||
| Jessica PetersonF | 23 | 6.7 | 6.5 | 0.4 | 0.1 |
| 5+ pts 62% · 7+ reb 45% | |||||
| Sania RichardsonG | 20 | 3.7 | 2.2 | 1.7 | 0.4 |
| 5+ pts 32% · 2+ reb 58% · 2+ ast 47% | |||||
| Quanirah MontagueF | 17 | 4.0 | 3.8 | 0.4 | 0.2 |
| 5+ pts 36% · 4+ reb 49% · 1+ threes 19% | |||||
| Kaitlyn DuhonG | 17 | 4.9 | 2.3 | 0.5 | 0.3 |
| 5+ pts 45% · 2+ reb 61% · 1+ threes 24% | |||||
| Ashley KnoxG | 16 | 3.3 | 1.3 | 0.5 | 0.6 |
| 5+ pts 28% · 2+ reb 35% · 1+ threes 42% | |||||
Texas Tech
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Jalynn BristowG | 33 | 10.9 | 6.8 | 2.0 | 0.9 |
| 10+ pts 55% · 7+ reb 49% · 1+ threes 55% | |||||
| Ambrosia ColeG | 30 | 9.9 | 4.4 | 2.4 | 0.5 |
| 10+ pts 47% · 5+ reb 44% · 3+ ast 42% | |||||
| Destinee HooksG | 26 | 12.5 | 4.1 | 1.2 | 1.2 |
| 10+ pts 65% · 4+ reb 54% · 1+ threes 62% | |||||
| Tahys Da SilvaG | 25 | 6.3 | 3.3 | 1.9 | 1.1 |
| 5+ pts 59% · 3+ reb 58% · 2+ ast 54% | |||||
| Stephanie OkechukwuC | 22 | 10.4 | 6.3 | 0.7 | 0.1 |
| 10+ pts 51% · 6+ reb 55% · 2+ ast 16% | |||||
| Jalayah IngramG | 21 | 8.1 | 4.6 | 2.1 | 0.2 |
| 10+ pts 34% · 5+ reb 46% · 2+ ast 58% | |||||
| Martina AnyangoF | 20 | 6.0 | 4.2 | 0.7 | 0.3 |
| 5+ pts 56% · 4+ reb 56% · 1+ threes 24% | |||||
| Natalia JordanG | 11 | 2.1 | 1.3 | 0.6 | 0.3 |
| 5+ pts 16% · 2+ reb 35% · 1+ threes 27% | |||||
Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done
Win probability
Game chat
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