Game day
No over/under yet · our total 131.1
- Tip-off
The line
| Market | AZMango | |
|---|---|---|
| Spread | No line yet | USC -1 |
| Total | n/a | 131.1 |
| Moneyline | n/a | USC -113 UNLV +113 fair |
No betting line has been posted for this game yet. Sportsbooks post lines for many women's college games only on game day, and smaller-conference games often get none at all. Books also take a line down for a while when a key player's status is unclear. We check ESPN's lines before each day's games and add the line as soon as there is one.
5,000 simulated games
Advantages Why USC can win
- Season-long ratings: betting lines have rated USC about 3.2 points stronger over recent games.
- Turnovers forced per 100 possessions: USC 132nd (23.5), UNLV 332nd (18.4) of 364.
- AP poll: USC are ranked No. 3; UNLV are unranked.
- Strength of schedule: USC 6th (+3.4), UNLV 132nd (+0.3) of 364.
- Team matchup: no unit-against-unit mismatch clearly favors USC. The nearest thing to one: their shooting efficiency (126th of 364) meets the UNLV shooting defense (138th), close to even, so this is more about execution than one area to exploit.
- Star matchup: Best player against best player, Jazzy Davidson (USC: 17.9 pts, 5.6 reb, 4.1 ast, Game Score 12.9) has the edge on Meadow Roland (UNLV: 15.0 pts, 9.5 reb, 1.9 ast, Game Score 11.7).
- Simulation: USC win 2,650 of 5,000 simulated games.
Disadvantages Why USC may not
- Range of outcomes: in the worst 10% of simulations USC lose by 16 or more.
- Defensive rebounding (share of misses): UNLV 45th (73.2%), USC 209th (67.8%) of 364.
- Three-point shooting: UNLV 60th (33.8%), USC 166th (30.8%) of 364.
- Weak spot: USC rank 264th of 364 in getting to the line (free throws per shot) (0.18).
- Team matchup: a strength USC may not get to use. Their shooting efficiency (126th of 364) meets the UNLV shooting defense (138th), one of the better units at stopping it, which can take away their plan to get clean looks against a defense that gives them up.
- Star matchup: the key positions lean USC on paper, but Meadow Roland (15.0 pts, 9.5 reb, 1.9 ast, Game Score 11.7) is the kind of player who can swing one game.
- Upset odds: UNLV win 2,350 of 5,000 simulations (47%). A 53% pick still loses about 5 times in 10.
🥭 Mango Sliced Facts
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Team news
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Headlines from ESPN and CBS Sports, each linked to the full story. Injuries, lineups, suspensions and coaching news come first. We leave out rumors, gossip about players' private lives and betting promos.
Still out?
Regulars who sat out each team's last game. We count them as likely out.
USC USC
Every regular played last game.
UNLV UNLV
Every regular played last game.
Also checked (ESPN and CBS Sports news): nothing beyond the report.
Side by side
| USC | UNLV | |
|---|---|---|
| 0-0 | Record | 0-0 |
| +7.6 102 | Net rating | +8.5 92 |
| 96.1 114 | Offensive rating | 99.7 63 |
| 88.5 110 | Defensive rating | 91.2 176 |
| +3.4 6 | Strength of schedule | +0.3 132 |
| 46.9% 126 | Effective FG% | 48.1% 96 |
| 44.2% 99 | Opponent eFG% | 44.9% 138 |
| 20.1 77 | Turnovers per 100 | 19.0 45 |
| 32.0% 159 | Offensive rebound % | 29.6% 238 |
| 30.8% 166 | 3-point % | 33.8% 60 |
| 72.5 119 | Pace | 68.9 281 |
Small numbers are ranks among 364 Division I teams (1 = best; pace 1 = fastest). Ratings are points per 100 possessions; strength of schedule is the average rating of opponents faced (2025-26 season and this season so far).
Last 4 meetings
| Date | Season | Score | Winner |
|---|---|---|---|
| 2019-12-14 | 2019-20 | UNLV 54 @ USC 75 | USC |
| 2018-12-01 | 2018-19 | USC 86 @ UNLV 72 | USC |
| 2016-11-19 | 2016-17 | USC 66 @ UNLV 77 | UNLV |
| 2015-12-06 | 2015-16 | UNLV 42 @ USC 73 | USC |
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