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WNBA 2025–26: 134–82 ATS · +37.4u
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2026-07-17

Day by day

these are the consensus_wnba picks — the book grading is currently serving, and the same set listed in the sheet below. The season figure in the header bar is that same book over the whole season; this is a recent window of it.

43–27 · 61% · +2.72u across the last 1 days

07/1743–2761%+2.72u4 games

permalink to 2026-07-17 →

ATL @ TOR12–12−4.29u
  • Julie Allemand Over 6.5 AST6 vs 6.5 — missed by a hairshots didn't fall — the read held upAllemand fell one assist short despite 32 minutes and solid efficiency (90% TS), held back by modest 12% usage and only 3 turnovers—the offense didn't generate enough ball movement or pace to push her into assist territory.
  • Allisha Gray Over 19.5 PTS18 vs 19.5 — missed by a hairshots didn't fall — the read held upGray fell just short despite efficient 75% TS on 30 minutes, as a season-low 17% usage rate—well below her recent trend—limited her scoring opportunities in a blowout where the team didn't need her volume. The zero free-throw attempts also cost her the final point, as she converted just 8-of-12 from the field in a game that got out of hand early (+16 in a likely comfortable win).
  • Allisha Gray Under 1.5 3PM2 vs 1.5no clean explanationGray's efficient 8-12 shooting night included 2-for-5 from three, pushing her past the 1.5 line despite modest volume; she was simply too hot overall (75% TS%) for the under to hold.
  • Isabelle Harrison Over 11.5 PTS10 vs 11.5 — missed by a hairshots didn't fall — the read held upHarrison fell one point shy despite adequate opportunity, going 4-8 from the field but unable to convert at the rim or from three (0-1 3PT, 2-4 FT) in her 21 minutes of work.
  • Rhyne Howard Over 2.5 3PM0 vs 2.5shots didn't fall — the read held upHoward went 0-for-7 from three despite getting to her typical 31 minutes, a catastrophic shooting collapse from range that contradicted her recent L10 average of 3.3 makes. The 35% true shooting and 21% usage suggest she took fewer shots overall in what became a blowout (+19), limiting her volume opportunities even as a starter.
  • Laura Juskaite Over 0.5 3PM0 vs 0.5shots didn't fall — the read held upJuskaite attempted only one three-pointer despite 28 minutes and 20% usage, going 0-1 from deep while staying aggressive in the paint (4-8 FG overall), suggesting the game flow or defensive scheme limited her perimeter opportunities rather than execution issues.
LAS @ CHI5–6−3.32u
  • Rae Burrell Over 14.5 PTS9 vs 14.5shots didn't fall — the read held upBurrell shot just 3-7 from the field (42.9%) despite playing 31 minutes, and her 16% usage rate—well below her typical offensive load—limited scoring opportunities in what became a blowout loss (-21 +/-). The combination of poor efficiency and reduced volume left her 5.5 points short of the 14.5 line.
  • Dearica Hamby Over 6.5 REB6 vs 6.5 — missed by a hairno clean explanationHamby fell one rebound short despite solid scoring (18 pts on 67% TS), held back by just 26 minutes—three minutes below her season average—which limited her opportunity to reach 7+ boards.
  • Natasha Cloud Under 11.5 PTS15 vs 11.5shots didn't fall — the read held upCloud exceeded her L10 average of 9.4 and the 11.5 line by posting 15 points on elite 69% true shooting, including 3-for-6 from three, while playing a full 32 minutes without foul trouble to constrain her opportunities.
  • Natasha Cloud Under 3.5 REB6 vs 3.5shots didn't fall — the read held upCloud doubled her recent rebounding average with 6 boards, benefiting from an extra 6 minutes of court time (32 vs. 26.2 pregame expectation) and increased involvement as a playmaker (9 assists on 14% usage suggesting heavy ball-handling and floor time).
  • Erica Wheeler Over 4.5 AST4 vs 4.5 — missed by a hairno clean explanationWheeler played 32 minutes with elevated usage (22%), but generated only 4 assists despite 14 points, suggesting shot-heavy offense rather than playmaking—she took 12 FG attempts compared to her typical distribution. The -13 +/- indicates the team played poorly around her, limiting assist opportunities even with extended run.
  • Natasha Cloud Under 5.5 AST9 vs 5.5no clean explanationCloud nearly doubled the target with 9 assists on a game-high 32 minutes and zero turnovers, functioning as the primary initiator in a blowout win (+11) where her efficiency (69% TS) kept the offense flowing without forcing shots.
CON @ PHO8–5+0.85u
  • Alyssa Thomas Over 7.5 AST6 vs 7.5shots didn't fall — the read held upThomas fell one assist short despite playing 36 minutes and maintaining high usage (21%), as Connecticut's offensive rhythm was disrupted—she recorded 3 turnovers and the team's overall assist distribution was more balanced, limiting her playmaking volume despite solid efficiency.
  • Olivia Nelson-Ododa Over 6.5 REB6 vs 6.5 — missed by a hairshots didn't fall — the read held upNelson-Ododa fell one rebound short despite her recent L5 average of 7.0, limited by just 21 minutes of playing time in what appears to have been a blowout (+12 +/- suggests reduced fourth-quarter action). Her 10% usage rate indicates minimal offensive involvement, which typically correlates with fewer rebounding opportunities.
  • Olivia Nelson-Ododa Over 10.5 PTS6 vs 10.5no clean explanationNelson-Ododa's 2-for-3 FG efficiency masked a dramatic collapse in volume—she took just 3 shots in 21 minutes (10% usage) compared to her pre-game averages, rendering her typical scoring pace irrelevant despite solid shooting splits.
  • Monique Akoa Makani Under 3.5 AST4 vs 3.5 — missed by a hairshots didn't fall — the read held upDespite a season-low 20 minutes and invisible scoring (0-for-6), Akoa Makani still reached 4 assists on modest 19% usage, suggesting she maintained setup duties even in limited action and off-night shooting. Her recent L10 average of 2.3 assists underestimated her floor playmaking role, which proved resilient enough to clear 3.5 despite the offensive drought.
  • Kahleah Copper Over 3.5 REB3 vs 3.5 — missed by a hairshots didn't fall — the read held upCopper fell one rebound short despite 35 minutes and heavy usage (28%), finishing with only 3 boards as Phoenix's spacing and ball movement limited her offensive rebounding opportunities and she didn't crash the glass enough on a night when the team controlled pace.
SEA @ IND18–4+9.49u
  • Natisha Hiedeman Over 15.5 PTS15 vs 15.5 — missed by a hairshots didn't fall — the read held upHiedeman fell one point short despite efficient 61% TS shooting on 20% usage, as her 6-11 FG and 2-3 FT output simply didn't generate enough volume—she needed just one more make to cash, but finished at the exact floor of a tight line.
  • Sophie Cunningham Over 8.5 PTS2 vs 8.5no clean explanationCunningham played 27 minutes but shot just 1-for-4 from the field with an ice-cold 0-for-3 from three, finishing with only 2 points on 6% usage—a dramatic underperformance that crushed the over despite reasonable playing time.
  • Caitlin Clark Under 2.5 3PM6 vs 2.5shots didn't fall — the read held upClark torched the line on elite efficiency, going 6-10 from three (60%) on high volume—a sharp departure from her L10 average of 2.1 attempts and L5 of 1.8, as she faced a favorable matchup that allowed her to unleash 42% usage and 85% true shooting. The under was built on recent trend data showing lower three-point rates, but Clark's hot hand and aggressive offensive role in a blowout win (+16) made 2.5 threes an insufficient threshold.
  • Kelsey Mitchell Over 2.5 AST0 vs 2.5no clean explanationMitchell played 34 minutes with elite scoring efficiency (59% TS, 32% usage) but operated almost entirely as a scorer rather than a facilitator, recording zero assists despite the high-pace environment—a complete absence of playmaking that made the 2.5 assist line unsustainable regardless of opportunity.

Flat 1 unit per priced bet, settled at the price we posted. Voids are not bets — excluded from the record, the hit rate and the units. Open a day for the per-game split and why each loss lost.