WNBA PLAYER PROPS · updated for Tue, Aug 11, 2026
Start with today's games, inspect any priced CORE recommendations, compare recent market lines with actual results, and check the public receipts. Missing data stays missing.
HOW TO READ A PROP · context before conclusion
No single split validates a prop. The useful question is whether independent evidence agrees at the exact line and price available now.
Verify opponent, venue, availability, projected role, and expected minutes. A minutes change can overpower every per-minute trend.
Over 17.5 at −110 is a different decision from over 18.5 at −135. Probability without price is not betting value.
Use L5 or L10 as a descriptive sample. Look at minutes and actual production against each game's own closing line—not only raw averages.
Compare head-to-head history, opponent tendencies, likely defender or position group, and similar-player results. Treat small samples as thin evidence.
Review the closing line, actual, minutes, and any verified injury or early-exit context. Wins and losses both belong in the model's receipt.
WNBA PROP QUESTIONS · plain English
A WNBA player prop is a market on an individual player's game statistic, such as points, rebounds, assists, made three-pointers, or points plus rebounds plus assists. The line and price both matter: a likely outcome can still be a poor bet at the wrong price.
Line movement is the change between an earlier market number and a later number. It records how market expectation changed, but it does not prove why the move happened or guarantee that the player will finish above or below the new line.
A recommendation is joined back to the exact player, game, prop, side, line, and captured price. It is settled from the recorded box score, pushes remain pushes, and closing-line value is shown when an exact closing quote is available.
No. Recent games, head-to-head meetings, and similar-player results are context, not extra model votes. Sample size, minutes, role, opponent, injuries, the exact line, and the price should be read together.
01 · TODAY'S SLATE · Tue, Aug 11
Open a matchup for its available props, player context, injuries, recent form, head-to-head sample, and similar-player evidence.
02 · PRICED RECOMMENDATIONS · CORE only
This is the smaller recommendation set: exact player, game, market, side, line, captured price, and a positive model stake must all exist.
Shakira Austin
+4.2% expected profit per unit at the captured price.
Natasha Mack
+1.3% expected profit per unit at the captured price.
04 · THE RECEIPTS · wins and losses
The latest rows from the current WNBA CORE formula's complete priced population, after the serving-price floor. The display is recent; the headline total covers the full population.
points
Vandersloot's free-throw volume was the culprit: she attempted 9 FTs (compared to just 7 field goals) and made 8 of them, accounting for 62% of her scoring and lifting her past 11.5 despite shooting just 29% from the field. Her 26 minutes and 20% usage were in line with an under-type game, but the stripe-heavy scoring path created the miss.
rebounds
Malonga cleared the bar with efficient rebounding work, grabbing 10 boards in 30 minutes while posting a team-leading 76% true shooting on high volume; her zero fouls allowed her to stay on the floor and attack the glass throughout.
points
Fam was held scoreless on 3 field-goal attempts in 14 minutes of action, staying well under the 9.5-point line despite getting on the court early. Her minimal usage rate (12%) and inability to convert any shot attempts made the under an easy cash.
points
Fam went scoreless on 3 field goal attempts in 14 minutes of play, unable to convert from the field or free throw line despite getting on the court. Her 12% usage rate and 0% true shooting sealed a decisive hit on the under.
points
Howard torched the under by draining 6-of-11 from three (54.5%), well above her typical volume and efficiency from deep, while playing all 36 minutes and maintaining elite efficiency at 66% TS despite modest 20% usage.
points
Sabally's below-the-line scoring was driven by poor shooting efficiency—she went 5-12 from the field (42%) despite 29 minutes and solid usage at 26%—and couldn't compensate with free throws, attempting only 2 all game. Her two-point performance shortfall came almost entirely from inefficient shot selection rather than playing time constraints.
03 · MARKET MEMORY · completed points examples
Recent exact-game joins compare the prior market baseline with that game's verified pre-tip closing line and recorded actual. These are historical results, not predictions for the next game.
Seattle Storm vs Chicago Sky
Normal exposure · 29.8 minutes
View all games on this date →Seattle Storm vs Chicago Sky
Normal exposure · 21 minutes
View all games on this date →Toronto Tempo at Atlanta Dream
Normal exposure · 16.3 minutes
View all games on this date →Atlanta Dream vs Toronto Tempo
Normal exposure · 29.4 minutes
View all games on this date →