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Across 210 WNBA players with at least 10 logged games in assists, this page measures 7673 games in total. The median player in that field averages 1.6 assists. The line closest to a coin flip sits at 1.5 for the median of the 210 players whose distribution supports one — half the field is more often over it, half more often under. The deepest sample here is Alyssa Thomas, with 63 logged games. Of the 154 players whose spread can be measured, 4 cluster tightly around their average, 61 vary moderately and 89 swing widely. 210 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 210 measured; the figures above this table are over all 210.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Alyssa Thomas | Mercury | 63 | 8.7 assists | Over 8.5 | 34 of 63 (54%) |
| Chelsea Gray | Aces | 62 | 7.0 assists | Over 6.5 | 32 of 62 (52%) |
| DeWanna Bonner | Dream | 62 | 1.4 assists | Over 1.5 | 26 of 62 (42%) |
| Jackie Young | Aces | 62 | 6.4 assists | Over 6.5 | 30 of 62 (48%) |
| Jewell Loyd | Aces | 61 | 1.4 assists | Over 1.5 | 26 of 61 (43%) |
| Kahleah Copper | Mercury | 61 | 1.6 assists | Over 1.5 | 24 of 61 (39%) |
| A'ja Wilson | Aces | 60 | 3.1 assists | Over 3.5 | 25 of 60 (42%) |
| Kelsey Mitchell | Fever | 59 | 3.0 assists | Over 2.5 | 34 of 59 (58%) |
| Kiah Stokes | Valkyries | 59 | 0.9 assists | Over 0.5 | 30 of 59 (51%) |
| Lexie Hull | Fever | 59 | 1.2 assists | Over 0.5 | 40 of 59 (68%) |
| NaLyssa Smith | Aces | 59 | 0.8 assists | Over 0.5 | 32 of 59 (54%) |
| Natasha Howard | Lynx | 59 | 2.9 assists | Over 2.5 | 33 of 59 (56%) |
| Courtney Williams | Lynx | 58 | 4.7 assists | Over 4.5 | 28 of 58 (48%) |
| Jessica Shepard | Wings | 58 | 4.3 assists | Over 3.5 | 30 of 58 (52%) |
| Kayla McBride | Lynx | 58 | 2.5 assists | Over 2.5 | 25 of 58 (43%) |
| Bridget Carleton | Fire | 57 | 1.9 assists | Over 1.5 | 35 of 57 (61%) |
| Natasha Mack | Mercury | 57 | 1.0 assists | Over 0.5 | 38 of 57 (67%) |
| Brianna Turner | Aces | 56 | 0.4 assists | Over 0.5 | 19 of 56 (34%) |
| Natisha Hiedeman | Storm | 56 | 4.2 assists | Over 3.5 | 32 of 56 (57%) |
| Aliyah Boston | Fever | 55 | 3.4 assists | Over 3.5 | 24 of 55 (44%) |
| Kaila Charles | Valkyries | 55 | 1.4 assists | Over 1.5 | 22 of 55 (40%) |
| Makayla Timpson | Fever | 55 | 0.4 assists | Over 0.5 | 15 of 55 (27%) |
| Maya Caldwell | Lynx | 55 | 1.3 assists | Over 0.5 | 36 of 55 (65%) |
| Naz Hillmon | Dream | 55 | 1.9 assists | Over 1.5 | 28 of 55 (51%) |
| Rhyne Howard | Dream | 55 | 4.0 assists | Over 3.5 | 29 of 55 (53%) |
| Veronica Burton | Valkyries | 55 | 6.4 assists | Over 6.5 | 25 of 55 (45%) |
| Allisha Gray | Dream | 54 | 2.6 assists | Over 2.5 | 24 of 54 (44%) |
| Nia Coffey | Lynx | 54 | 1.5 assists | Over 1.5 | 22 of 54 (41%) |
| Emily Engstler | Fire | 53 | 2.0 assists | Over 1.5 | 33 of 53 (62%) |
| Erica Wheeler | Sparks | 53 | 4.5 assists | Over 4.5 | 25 of 53 (47%) |
| Jonquel Jones | Liberty | 53 | 2.6 assists | Over 2.5 | 22 of 53 (42%) |
| Nneka Ogwumike | Sparks | 53 | 2.8 assists | Over 2.5 | 28 of 53 (53%) |
| Dearica Hamby | Sparks | 52 | 2.6 assists | Over 2.5 | 24 of 52 (46%) |
| Elizabeth Williams | Sky | 52 | 1.4 assists | Over 1.5 | 21 of 52 (40%) |
| Kamilla Cardoso | Sky | 52 | 2.7 assists | Over 2.5 | 25 of 52 (48%) |
| Lexi Held | Mercury | 52 | 1.2 assists | Over 0.5 | 33 of 52 (63%) |
| Natasha Cloud | Sky | 52 | 4.5 assists | Over 4.5 | 25 of 52 (48%) |
| Stefanie Dolson | Storm | 52 | 1.2 assists | Over 1.5 | 21 of 52 (40%) |
| Stephanie Talbot | Aces | 52 | 1.1 assists | Over 0.5 | 26 of 52 (50%) |
| Jade Melbourne | Storm | 51 | 3.7 assists | Over 3.5 | 29 of 51 (57%) |
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 |
|---|---|---|---|---|---|
| Caitlin Clark | Fever | 37 | 8.5 assists | 2.3 | 27% |
| Alyssa Thomas | Mercury | 63 | 8.7 assists | 2.7 | 31% |
| Grace Berger | Wings | 10 | 4.2 assists | 1.4 | 33% |
| Chelsea Gray | Aces | 62 | 7.0 assists | 2.4 | 34% |
| Courtney Vandersloot | Sky | 25 | 5.2 assists | 2.1 | 40% |
| Olivia Miles | Lynx | 39 | 6.0 assists | 2.5 | 42% |
| Jackie Young | Aces | 62 | 6.4 assists | 2.7 | 42% |
| Leila Lacan | Sun | 27 | 4.6 assists | 1.9 | 42% |
| Jordin Canada | Dream | 49 | 7.1 assists | 3.1 | 44% |
| Skylar Diggins | Sky | 32 | 5.3 assists | 2.4 | 44% |
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 |
|---|---|---|---|---|---|
| Antonia Delaere | Lynx | 37 | 1.1 assists | 1.6 | 148% |
| Awak Kuier | Wings | 39 | 1.0 assists | 1.5 | 147% |
| Raven Johnson | Fever | 36 | 1.2 assists | 1.6 | 133% |
| Stephanie Talbot | Aces | 52 | 1.1 assists | 1.5 | 133% |
| Alysha Clark | Wings | 40 | 1.0 assists | 1.3 | 128% |
| Aziaha James | Wings | 45 | 1.3 assists | 1.6 | 126% |
| Kiana Williams | Tempo | 31 | 1.0 assists | 1.3 | 124% |
| Rickea Jackson | Sky | 14 | 1.1 assists | 1.4 | 123% |
| Isobel Borlase | Dream | 42 | 1.0 assists | 1.3 | 121% |
| Ornella Bankole | Tempo | 11 | 1.1 assists | 1.3 | 120% |
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 |
|---|---|---|---|---|
| Jordan Harrison | Fire | 5.0 (7) | 2.6 (7) | 2.4 at home |
| Azurá Stevens | Sparks | 3.7 (6) | 1.4 (5) | 2.3 at home |
| Jordin Canada | Dream | 8.2 (26) | 5.9 (23) | 2.3 at home |
| Jackie Young | Aces | 5.4 (33) | 7.6 (29) | 2.2 away |
| Leïla Lacan | Sun | 5.6 (5) | 3.6 (5) | 2.0 at home |
| Julie Vanloo | Liberty | 3.5 (8) | 1.6 (7) | 1.9 at home |
| Courtney Vandersloot | Sky | 5.9 (13) | 4.5 (12) | 1.4 at home |
| Luisa Geiselsoder | Fire | 1.9 (11) | 0.6 (10) | 1.3 at home |
| Caitlin Clark | Fever | 9.2 (18) | 7.9 (19) | 1.3 at home |
| Sug Sutton | Wings | 3.5 (20) | 2.3 (16) | 1.2 at home |
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 |
|---|---|---|---|---|
| Teonni Key | Tempo | 1.2 assists | 0.5 over 36 | 154% above |
| Makayla Timpson | Fever | 1.0 assists | 0.4 over 55 | 150% above |
| Megan Gustafson | Fire | 1.6 assists | 0.6 over 36 | 150% above |
| Shatori Walker-Kimbrough | Dream | 1.2 assists | 0.5 over 25 | 150% above |
| Zia Cooke | Storm | 2.6 assists | 1.0 over 44 | 149% above |
| Nell Angloma | Sun | 2.0 assists | 0.8 over 37 | 147% above |
| Julie Vanloo | Liberty | 5.4 assists | 2.6 over 15 | 108% above |
| Ornella Bankole | Tempo | 2.2 assists | 1.1 over 11 | 102% above |
| Ta'Niya Latson | Aces | 0.8 assists | 0.4 over 17 | 94% above |
| Juste Jocyte | Valkyries | 2.0 assists | 1.1 over 16 | 88% 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 |
|---|---|---|---|---|
| Brianna Turner | Aces | 0.0 assists | 0.4 over 56 | 100% below |
| Kierstan Bell | Aces | 0.0 assists | 0.7 over 47 | 100% below |
| Lucy Olsen | Mystics | 0.0 assists | 1.1 over 31 | 100% below |
| Emma Cannon | Sparks | 0.0 assists | 0.4 over 17 | 100% below |
| Aerial Powers | Fever | 0.2 assists | 1.3 over 16 | 85% below |
| Raven Johnson | Fever | 0.2 assists | 1.2 over 36 | 83% below |
| Antonia Delaere | Lynx | 0.2 assists | 1.1 over 37 | 82% below |
| Odyssey Sims | Wings | 0.6 assists | 2.8 over 51 | 79% below |
| Kate Martin | Sparks | 0.2 assists | 0.7 over 30 | 73% below |
| Jonquel Jones | Liberty | 0.8 assists | 2.6 over 53 | 69% 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, edges and grades are Parlay Builder’s own calculations.