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Across 198 WNBA players with at least 10 logged games in points, this page measures 6822 games in total. The median player in that field averages 6.3 points. The line closest to a coin flip sits at 5.5 for the median of the 198 players whose distribution supports one. Half the field is more often over it, half more often under. The deepest sample here is Kaila Charles, with 57 logged games. Of the 194 players whose spread can be measured, 13 cluster tightly around their average, 87 vary moderately and 94 swing widely. 198 of them have at least three games home and away, so the venue gap below is measured rather than assumed. Every figure is counted from official box scores and describes games already played. It is not a projection, and on its own it says nothing about whether any price on offer is worth taking.
Each player's own most balanced threshold: the half-point line he has finished above in closest to half his logged games, measured from his distribution rather than read off a book. Deepest sample first, not best to worst. The 40 deepest samples of 198 measured; the figures above this table are over all 198.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Kaila Charles | Valkyries | 57 | 6.2 points | Over 5.5 | 29 of 57 (51%) |
| Kaitlyn Chen | Valkyries | 57 | 6.4 points | Over 5.5 | 28 of 57 (49%) |
| Kayla Thornton | Valkyries | 57 | 7.3 points | Over 6.5 | 28 of 57 (49%) |
| Veronica Burton | Valkyries | 57 | 11.5 points | Over 11.5 | 26 of 57 (46%) |
| Isobel Borlase | Dream | 56 | 5.1 points | Over 4.5 | 24 of 56 (43%) |
| Kiah Stokes | Valkyries | 56 | 3.7 points | Over 2.5 | 28 of 56 (50%) |
| Angel Reese | Dream | 55 | 16.3 points | Over 15.5 | 28 of 55 (51%) |
| Jordin Canada | Dream | 55 | 12.3 points | Over 11.5 | 25 of 55 (45%) |
| Naz Hillmon | Dream | 55 | 8.3 points | Over 7.5 | 25 of 55 (45%) |
| Rhyne Howard | Dream | 55 | 17.4 points | Over 17.5 | 28 of 55 (51%) |
| Tiffany Hayes | Valkyries | 55 | 9.8 points | Over 9.5 | 30 of 55 (55%) |
| Allisha Gray | Dream | 54 | 18.3 points | Over 18.5 | 25 of 54 (46%) |
| DeWanna Bonner | Dream | 54 | 9.8 points | Over 9.5 | 26 of 54 (48%) |
| Gabby Williams | Valkyries | 52 | 16.0 points | Over 15.5 | 29 of 52 (56%) |
| Madina Okot | Dream | 51 | 4.6 points | Over 3.5 | 25 of 51 (49%) |
| Cecilia Zandalasini | Valkyries | 50 | 8.6 points | Over 7.5 | 24 of 50 (48%) |
| Janelle Salaun | Valkyries | 50 | 11.0 points | Over 10.5 | 27 of 50 (54%) |
| Chelsea Gray | Aces | 49 | 12.6 points | Over 12.5 | 21 of 49 (43%) |
| Han Xu | Liberty | 49 | 6.0 points | Over 5.5 | 24 of 49 (49%) |
| Jackie Young | Aces | 49 | 18.9 points | Over 19.5 | 25 of 49 (51%) |
| Pauline Astier | Liberty | 49 | 8.9 points | Over 7.5 | 24 of 49 (49%) |
| Jonquel Jones | Liberty | 48 | 14.9 points | Over 14.5 | 23 of 48 (48%) |
| Stephanie Talbot | Aces | 48 | 4.2 points | Over 3.5 | 24 of 48 (50%) |
| A'ja Wilson | Aces | 47 | 26.3 points | Over 25.5 | 25 of 47 (53%) |
| Arike Ogunbowale | Wings | 47 | 16.1 points | Over 16.5 | 25 of 47 (53%) |
| Breanna Stewart | Liberty | 47 | 21.5 points | Over 20.5 | 24 of 47 (51%) |
| Brianna Turner | Aces | 47 | 1.4 points | Over 0.5 | 20 of 47 (43%) |
| Jewell Loyd | Aces | 47 | 7.9 points | Over 7.5 | 24 of 47 (51%) |
| Kelsey Mitchell | Fever | 47 | 24.4 points | Over 25.5 | 23 of 47 (49%) |
| Lexie Hull | Fever | 47 | 5.1 points | Over 4.5 | 26 of 47 (55%) |
| Georgia Amoore | Mystics | 46 | 6.9 points | Over 7.5 | 22 of 46 (48%) |
| Kayla McBride | Lynx | 46 | 17.5 points | Over 16.5 | 23 of 46 (50%) |
| Lauren Betts | Mystics | 46 | 6.2 points | Over 5.5 | 27 of 46 (59%) |
| Makayla Timpson | Fever | 46 | 5.5 points | Over 4.5 | 23 of 46 (50%) |
| Marine Johannes | Liberty | 46 | 7.6 points | Over 6.5 | 22 of 46 (48%) |
| Maya Caldwell | Lynx | 46 | 3.9 points | Over 3.5 | 23 of 46 (50%) |
| Monique Billings | Fever | 46 | 6.2 points | Over 4.5 | 23 of 46 (50%) |
| Natasha Howard | Lynx | 46 | 14.4 points | Over 13.5 | 22 of 46 (48%) |
| Rebekah Gardner | Liberty | 46 | 4.8 points | Over 3.5 | 28 of 46 (61%) |
| Sophie Cunningham | Fever | 46 | 7.8 points | Over 8.5 | 22 of 46 (48%) |
Standard deviation in the market’s own units, and the same figure as a share of the player’s average so it means the same thing in points as in passing yards. A narrow spread means the average is close to what a typical game actually looked like; it says nothing about what the next one will look like.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| A'ja Wilson | Aces | 47 | 26.3 points | 6.7 | 25% |
| Kelsey Mitchell | Fever | 47 | 24.4 points | 6.1 | 25% |
| Nneka Ogwumike | Sparks | 43 | 17.3 points | 4.8 | 28% |
| Napheesa Collier | Lynx | 18 | 16.3 points | 4.9 | 30% |
| Megan DiLeo | Fire | 22 | 14.3 points | 4.3 | 30% |
| Paige Bueckers | Wings | 45 | 20.6 points | 6.4 | 31% |
| Breanna Stewart | Liberty | 47 | 21.5 points | 6.8 | 32% |
| Allisha Gray | Dream | 54 | 18.3 points | 6.1 | 33% |
| Jonquel Jones | Liberty | 48 | 14.9 points | 4.9 | 33% |
| Olivia Miles | Lynx | 42 | 19.2 points | 6.6 | 34% |
The other end of the same measurement. A wide spread means the average describes the middle of a broad range rather than a typical night, which is worth knowing before reading anything into that average.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| Grace VanSlooten | Fever | 16 | 1.2 points | 2.3 | 196% |
| Aaliyah Nye | Sparks | 20 | 1.0 points | 1.9 | 192% |
| Justine Pissott | Aces | 14 | 2.7 points | 4.9 | 180% |
| Taina Mair | Storm | 10 | 1.3 points | 2.2 | 169% |
| Raquel Carrera | Liberty | 25 | 1.6 points | 2.7 | 166% |
| Sika Kone | Dream | 37 | 1.8 points | 2.8 | 153% |
| Jihyun Park | Sparks | 36 | 2.2 points | 3.3 | 147% |
| Ta'Niya Latson | Aces | 19 | 3.1 points | 4.5 | 146% |
| Maddy Westbeld | Mercury | 10 | 2.6 points | 3.8 | 145% |
| Quionche Carter | Mercury | 13 | 1.2 points | 1.7 | 144% |
Both averages are over the games actually played at each venue, and the game count for each is in the cell beside it. A gap measured over a handful of games either way is one you cannot distinguish from noise. This table prints the denominators so you can tell which is which. Three games a side is the floor for appearing here at all.
| Player | Club | Home (games) | Away (games) | Gap |
|---|---|---|---|---|
| Kahleah Copper | Mercury | 24.6 (21) | 18.0 (19) | 6.6 at home |
| Chennedy Carter | Aces | 8.2 (5) | 14.8 (8) | 6.6 away |
| Caitlin Clark | Fever | 24.8 (21) | 19.6 (22) | 5.2 at home |
| Brittney Sykes | Tempo | 16.2 (9) | 21.3 (8) | 5.1 away |
| Bridget Carleton | Fire | 17.0 (20) | 12.2 (20) | 4.8 at home |
| Brittney Griner | Sun | 11.5 (11) | 16.0 (7) | 4.5 away |
| Zia Cooke | Storm | 9.7 (21) | 5.3 (20) | 4.4 at home |
| Natasha Cloud | Sky | 13.1 (21) | 8.9 (19) | 4.2 at home |
| Maddy Westbeld | Mercury | 4.6 (5) | 0.6 (5) | 4.0 at home |
| Sabrina Ionescu | Liberty | 12.7 (17) | 16.6 (19) | 3.9 away |
Last five logged games against the full log, reported only where the gap is more than a tenth of the player’s own average. It is a description of five games that have been played and it is not a forecast of the sixth.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Aaliyah Nye | Sparks | 3.0 points | 1.0 over 20 | 200% above |
| Raegan Beers | Sun | 10.4 points | 4.6 over 38 | 128% above |
| Taylor Thierry | Storm | 4.0 points | 1.9 over 17 | 106% above |
| Alysha Clark | Wings | 6.4 points | 3.2 over 33 | 97% above |
| Ashlon Jackson | Sun | 6.6 points | 3.4 over 19 | 96% above |
| Holly Winterburn | Fire | 7.8 points | 4.0 over 29 | 95% above |
| Stephanie Talbot | Aces | 8.2 points | 4.2 over 48 | 94% above |
| Gianna Kneepkens | Sun | 6.6 points | 3.5 over 36 | 89% above |
| Nyadiew Puoch | Fire | 8.0 points | 4.3 over 42 | 86% above |
| Teonni Key | Tempo | 4.0 points | 2.2 over 39 | 86% above |
The same comparison in the other direction, and the same caveat: five games is five games, and a run below a baseline is as often noise as it is a change.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Shatori Walker-Kimbrough | Dream | 0.0 points | 0.9 over 19 | 100% below |
| Justine Pissott | Aces | 0.0 points | 2.7 over 14 | 100% below |
| Kaitlyn Chen | Valkyries | 0.4 points | 6.4 over 57 | 94% below |
| Madina Okot | Dream | 0.6 points | 4.6 over 51 | 87% below |
| Angela Dugalic | Mystics | 0.4 points | 2.5 over 40 | 84% below |
| Rebecca Allen | Liberty | 1.2 points | 5.1 over 33 | 76% below |
| Lucy Olsen | Mystics | 0.6 points | 2.5 over 22 | 76% below |
| Kayla Thornton | Valkyries | 1.8 points | 7.3 over 57 | 75% below |
| Luisa Geiselsoder | Fire | 1.2 points | 4.5 over 21 | 73% below |
| Brianna Turner | Aces | 0.4 points | 1.4 over 47 | 72% below |
At the half-point threshold each player has finished above in about half their logged games. It is measured per player from their own distribution rather than read off a sportsbook, which is why it is on this page at all: a posted line moves through the day and this page is rebuilt once, so a number taken from a book would be wrong by morning.
No. Nothing here is ordered by how good a bet it is, and no price is quoted anywhere on the page. The tables are ordered by sample depth, by spread and by the size of a measured gap, because those are the things a game log can actually establish.
The count is printed beside every one of them. A player only appears once they have ten or more logged games in the market, and games they did not play are absent rather than counted as zero, so an average describes games they were actually in.
No. A trend here is a comparison between a player’s last five logged games and their full log, and it is reported only when the gap is large enough to be worth naming. It is a description of what has happened, and history is not a forecast.
What these tables are measuring, explained: how to read a hit rate and what its denominator hides, what an over/under line is and what it is not.
WNBA player props and live odds
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.