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Across 182 WNBA players with at least 10 logged games in steals, this page measures 6567 games in total. The median player in that field averages 0.7 steals. The line closest to a coin flip sits at 0.5 for the median of the 182 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 44 players whose spread can be measured, 0 cluster tightly around their average, 2 vary moderately and 42 swing widely. 182 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 182 measured; the figures above this table are over all 182.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Kaila Charles | Valkyries | 57 | 0.8 steals | Over 0.5 | 25 of 57 (44%) |
| Kaitlyn Chen | Valkyries | 57 | 0.2 steals | Over 0.5 | 12 of 57 (21%) |
| Kayla Thornton | Valkyries | 57 | 0.6 steals | Over 0.5 | 22 of 57 (39%) |
| Veronica Burton | Valkyries | 57 | 1.5 steals | Over 1.5 | 24 of 57 (42%) |
| Isobel Borlase | Dream | 56 | 0.4 steals | Over 0.5 | 15 of 56 (27%) |
| Kiah Stokes | Valkyries | 56 | 0.5 steals | Over 0.5 | 23 of 56 (41%) |
| Angel Reese | Dream | 55 | 1.7 steals | Over 1.5 | 29 of 55 (53%) |
| Jordin Canada | Dream | 55 | 1.9 steals | Over 1.5 | 34 of 55 (62%) |
| Naz Hillmon | Dream | 55 | 0.6 steals | Over 0.5 | 24 of 55 (44%) |
| Rhyne Howard | Dream | 55 | 2.3 steals | Over 2.5 | 24 of 55 (44%) |
| Tiffany Hayes | Valkyries | 55 | 0.9 steals | Over 0.5 | 30 of 55 (55%) |
| Allisha Gray | Dream | 54 | 1.3 steals | Over 1.5 | 18 of 54 (33%) |
| DeWanna Bonner | Dream | 54 | 1.0 steals | Over 0.5 | 33 of 54 (61%) |
| Gabby Williams | Valkyries | 52 | 1.8 steals | Over 1.5 | 27 of 52 (52%) |
| Madina Okot | Dream | 51 | 0.3 steals | Over 0.5 | 14 of 51 (27%) |
| Cecilia Zandalasini | Valkyries | 50 | 0.9 steals | Over 0.5 | 26 of 50 (52%) |
| Janelle Salaun | Valkyries | 50 | 0.5 steals | Over 0.5 | 21 of 50 (42%) |
| Chelsea Gray | Aces | 49 | 1.4 steals | Over 1.5 | 21 of 49 (43%) |
| Han Xu | Liberty | 49 | 0.3 steals | Over 0.5 | 12 of 49 (24%) |
| Jackie Young | Aces | 49 | 1.0 steals | Over 0.5 | 27 of 49 (55%) |
| Pauline Astier | Liberty | 49 | 0.8 steals | Over 0.5 | 28 of 49 (57%) |
| Jonquel Jones | Liberty | 48 | 0.6 steals | Over 0.5 | 21 of 48 (44%) |
| Stephanie Talbot | Aces | 48 | 0.7 steals | Over 0.5 | 21 of 48 (44%) |
| A'ja Wilson | Aces | 47 | 1.4 steals | Over 1.5 | 17 of 47 (36%) |
| Arike Ogunbowale | Wings | 47 | 1.0 steals | Over 0.5 | 30 of 47 (64%) |
| Breanna Stewart | Liberty | 47 | 1.4 steals | Over 1.5 | 21 of 47 (45%) |
| Brianna Turner | Aces | 47 | 0.2 steals | Over 0.5 | 10 of 47 (21%) |
| Jewell Loyd | Aces | 47 | 1.1 steals | Over 0.5 | 35 of 47 (74%) |
| Kelsey Mitchell | Fever | 47 | 1.0 steals | Over 0.5 | 34 of 47 (72%) |
| Lexie Hull | Fever | 47 | 0.6 steals | Over 0.5 | 18 of 47 (38%) |
| Georgia Amoore | Mystics | 46 | 0.3 steals | Over 0.5 | 13 of 46 (28%) |
| Kayla McBride | Lynx | 46 | 1.7 steals | Over 1.5 | 22 of 46 (48%) |
| Lauren Betts | Mystics | 46 | 0.5 steals | Over 0.5 | 19 of 46 (41%) |
| Makayla Timpson | Fever | 46 | 0.6 steals | Over 0.5 | 21 of 46 (46%) |
| Marine Johannes | Liberty | 46 | 0.7 steals | Over 0.5 | 22 of 46 (48%) |
| Maya Caldwell | Lynx | 46 | 0.7 steals | Over 0.5 | 23 of 46 (50%) |
| Monique Billings | Fever | 46 | 0.9 steals | Over 0.5 | 26 of 46 (57%) |
| Natasha Howard | Lynx | 46 | 1.5 steals | Over 1.5 | 23 of 46 (50%) |
| Rebekah Gardner | Liberty | 46 | 0.5 steals | Over 0.5 | 19 of 46 (41%) |
| Sophie Cunningham | Fever | 46 | 0.5 steals | Over 0.5 | 18 of 46 (39%) |
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 |
|---|---|---|---|---|---|
| Gabby Williams | Valkyries | 52 | 1.8 steals | 1.1 | 62% |
| Ariel Atkins | Sparks | 42 | 1.6 steals | 1.1 | 66% |
| Rhyne Howard | Dream | 55 | 2.3 steals | 1.6 | 71% |
| Jordin Canada | Dream | 55 | 1.9 steals | 1.4 | 73% |
| Azzi Fudd | Wings | 30 | 1.7 steals | 1.3 | 73% |
| Bridget Carleton | Fire | 40 | 1.6 steals | 1.2 | 75% |
| Leila Lacan | Sun | 30 | 1.6 steals | 1.2 | 77% |
| Chelsea Gray | Aces | 49 | 1.4 steals | 1.1 | 78% |
| Kayla McBride | Lynx | 46 | 1.7 steals | 1.3 | 78% |
| Julie Allemand | Tempo | 33 | 1.3 steals | 1.0 | 78% |
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 |
|---|---|---|---|---|---|
| Kelsey Plum | Mercury | 17 | 1.0 steals | 1.2 | 119% |
| Noemie Brochant | Mercury | 43 | 1.0 steals | 1.2 | 118% |
| Brittney Sykes | Tempo | 17 | 1.2 steals | 1.3 | 110% |
| Jordan Horston | Storm | 37 | 1.0 steals | 1.1 | 109% |
| Nyara Sabally | Tempo | 24 | 1.0 steals | 1.1 | 108% |
| Saniya Rivers | Sun | 38 | 1.1 steals | 1.1 | 105% |
| Natisha Hiedeman | Storm | 40 | 1.1 steals | 1.1 | 104% |
| DeWanna Bonner | Dream | 54 | 1.0 steals | 1.1 | 102% |
| Caitlin Clark | Fever | 43 | 1.0 steals | 1.0 | 102% |
| Laura Juskaite | Tempo | 44 | 1.4 steals | 1.4 | 101% |
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 |
|---|---|---|---|---|
| DiJonai Carrington | Sky | 0.1 (7) | 1.5 (4) | 1.4 away |
| Tonie Morgan | Sparks | 0.4 (7) | 1.6 (5) | 1.2 away |
| Megan Gustafson | Fire | 0.1 (10) | 1.1 (9) | 1.0 away |
| Maddy Westbeld | Mercury | 1.0 (5) | 0.0 (5) | 1.0 at home |
| Breanna Stewart | Liberty | 1.0 (23) | 1.8 (24) | 0.8 away |
| Jaylyn Sherrod | Storm | 1.1 (7) | 0.3 (6) | 0.8 at home |
| Arike Ogunbowale | Wings | 1.4 (23) | 0.6 (24) | 0.8 at home |
| Flau'jae Johnson | Storm | 1.0 (20) | 1.7 (22) | 0.7 away |
| Pauline Astier | Liberty | 0.5 (24) | 1.1 (25) | 0.6 away |
| Jackie Young | Aces | 0.7 (25) | 1.3 (24) | 0.6 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 |
|---|---|---|---|---|
| Raquel Carrera | Liberty | 0.8 steals | 0.2 over 25 | 300% above |
| Raven Johnson | Fever | 1.4 steals | 0.5 over 42 | 209% above |
| Zia Cooke | Storm | 1.2 steals | 0.4 over 41 | 207% above |
| Elizabeth Williams | Sky | 2.2 steals | 0.7 over 44 | 203% above |
| Lexi Held | Mercury | 1.4 steals | 0.5 over 42 | 180% above |
| Gianna Kneepkens | Sun | 0.6 steals | 0.2 over 36 | 170% above |
| Megan DiLeo | Fire | 0.8 steals | 0.3 over 22 | 151% above |
| Megan Gustafson | Fire | 1.4 steals | 0.6 over 19 | 142% above |
| Holly Winterburn | Fire | 1.2 steals | 0.6 over 29 | 118% above |
| Karlie Samuelson | Fire | 1.2 steals | 0.6 over 32 | 113% 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 |
|---|---|---|---|---|
| Kaitlyn Chen | Valkyries | 0.0 steals | 0.2 over 57 | 100% below |
| Madina Okot | Dream | 0.0 steals | 0.3 over 51 | 100% below |
| Brianna Turner | Aces | 0.0 steals | 0.2 over 47 | 100% below |
| Marine Johannes | Liberty | 0.0 steals | 0.7 over 46 | 100% below |
| Maddy Siegrist | Wings | 0.0 steals | 0.4 over 44 | 100% below |
| Stefanie Dolson | Storm | 0.0 steals | 0.3 over 44 | 100% below |
| Te-Hina Paopao | Dream | 0.0 steals | 0.2 over 42 | 100% below |
| Angela Dugalic | Mystics | 0.0 steals | 0.3 over 40 | 100% below |
| Cassandre Prosper | Mystics | 0.0 steals | 0.2 over 40 | 100% below |
| Antonia Delaere | Lynx | 0.0 steals | 0.4 over 40 | 100% 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.