How WNBA blocks actually behave

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Across 162 WNBA players with at least 10 logged games in blocks, this page measures 6453 games in total. The median player in that field averages 0.3 blocks. The line closest to a coin flip sits at 0.5 for the median of the 162 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 16 players whose spread can be measured, 0 cluster tightly around their average, 1 vary moderately and 15 swing widely. 162 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.

Measured as of 2026-09-20, rebuilt daily from official box scores. Window: 2025-08-16 to 2026-09-19. No prices appear on this page.

Where the coin-flip line sits in WNBA blocks

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 162 measured; the figures above this table are over all 162.

WNBA blocks — measured field
Player	Club	Logged games	Average	Balanced line	Hit rate there
Alyssa Thomas	Mercury	63	0.4 blocks	Over 0.5	24 of 63 (38%)
Chelsea Gray	Aces	62	0.5 blocks	Over 0.5	22 of 62 (35%)
DeWanna Bonner	Dream	62	0.7 blocks	Over 0.5	30 of 62 (48%)
Jackie Young	Aces	62	0.3 blocks	Over 0.5	15 of 62 (24%)
Jewell Loyd	Aces	61	0.3 blocks	Over 0.5	15 of 61 (25%)
Kahleah Copper	Mercury	61	0.1 blocks	Over 0.5	7 of 61 (11%)
A'ja Wilson	Aces	60	2.3 blocks	Over 2.5	22 of 60 (37%)
Kelsey Mitchell	Fever	59	0.1 blocks	Over 0.5	8 of 59 (14%)
Kiah Stokes	Valkyries	59	1.3 blocks	Over 0.5	33 of 59 (56%)
Lexie Hull	Fever	59	0.2 blocks	Over 0.5	12 of 59 (20%)
NaLyssa Smith	Aces	59	0.7 blocks	Over 0.5	27 of 59 (46%)
Natasha Howard	Lynx	59	0.7 blocks	Over 0.5	27 of 59 (46%)
Courtney Williams	Lynx	58	0.2 blocks	Over 0.5	11 of 58 (19%)
Jessica Shepard	Wings	58	0.1 blocks	Over 0.5	4 of 58 (7%)
Kayla McBride	Lynx	58	0.2 blocks	Over 0.5	12 of 58 (21%)
Bridget Carleton	Fire	57	0.4 blocks	Over 0.5	17 of 57 (30%)
Natasha Mack	Mercury	57	1.2 blocks	Over 0.5	39 of 57 (68%)
Brianna Turner	Aces	56	0.5 blocks	Over 0.5	24 of 56 (43%)
Natisha Hiedeman	Storm	56	0.2 blocks	Over 0.5	10 of 56 (18%)
Aliyah Boston	Fever	55	1.0 blocks	Over 0.5	31 of 55 (56%)
Kaila Charles	Valkyries	55	0.2 blocks	Over 0.5	13 of 55 (24%)
Makayla Timpson	Fever	55	0.7 blocks	Over 0.5	22 of 55 (40%)
Maya Caldwell	Lynx	55	0.1 blocks	Over 0.5	8 of 55 (15%)
Naz Hillmon	Dream	55	0.4 blocks	Over 0.5	17 of 55 (31%)
Rhyne Howard	Dream	55	0.8 blocks	Over 0.5	29 of 55 (53%)
Veronica Burton	Valkyries	55	0.6 blocks	Over 0.5	19 of 55 (35%)
Allisha Gray	Dream	54	0.4 blocks	Over 0.5	18 of 54 (33%)
Nia Coffey	Lynx	54	0.9 blocks	Over 0.5	27 of 54 (50%)
Emily Engstler	Fire	53	1.3 blocks	Over 1.5	20 of 53 (38%)
Erica Wheeler	Sparks	53	0.1 blocks	Over 0.5	5 of 53 (9%)
Jonquel Jones	Liberty	53	1.1 blocks	Over 0.5	38 of 53 (72%)
Nneka Ogwumike	Sparks	53	0.3 blocks	Over 0.5	10 of 53 (19%)
Dearica Hamby	Sparks	52	0.4 blocks	Over 0.5	17 of 52 (33%)
Elizabeth Williams	Sky	52	0.8 blocks	Over 0.5	30 of 52 (58%)
Kamilla Cardoso	Sky	52	1.6 blocks	Over 1.5	25 of 52 (48%)
Lexi Held	Mercury	52	0.1 blocks	Over 0.5	5 of 52 (10%)
Natasha Cloud	Sky	52	0.3 blocks	Over 0.5	14 of 52 (27%)
Stefanie Dolson	Storm	52	0.4 blocks	Over 0.5	17 of 52 (33%)
Stephanie Talbot	Aces	52	0.2 blocks	Over 0.5	10 of 52 (19%)
Jade Melbourne	Storm	51	0.2 blocks	Over 0.5	10 of 51 (20%)

The steadiest WNBA blocks records

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.

The steadiest WNBA blocks records
Player	Club	Logged games	Average	Standard deviation	Spread as % of average
A'ja Wilson	Aces	60	2.3 blocks	1.3	57%
Iliana Rupert	Valkyries	12	1.1 blocks	0.8	70%
Dominique Malonga	Storm	45	1.5 blocks	1.1	71%
Cameron Brink	Sparks	42	1.5 blocks	1.1	74%
Kamilla Cardoso	Sky	52	1.6 blocks	1.2	77%
Brittney Griner	Sun	32	1.5 blocks	1.1	78%
Ezi Magbegor	Storm	27	1.7 blocks	1.4	83%
Shakira Austin	Mystics	51	1.3 blocks	1.1	86%
Jonquel Jones	Liberty	53	1.1 blocks	1.0	87%
Emily Engstler	Fire	53	1.3 blocks	1.2	92%

The widest WNBA blocks swings

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.

The widest WNBA blocks swings
Player	Club	Logged games	Average	Standard deviation	Spread as % of average
Kiah Stokes	Valkyries	59	1.3 blocks	1.5	123%
Napheesa Collier	Lynx	25	1.1 blocks	1.2	108%
Breanna Stewart	Liberty	50	1.3 blocks	1.4	106%
Aliyah Boston	Fever	55	1.0 blocks	1.1	104%
Awak Kuier	Wings	39	1.6 blocks	1.7	101%
Natasha Mack	Mercury	57	1.2 blocks	1.2	100%
Emily Engstler	Fire	53	1.3 blocks	1.2	92%
Jonquel Jones	Liberty	53	1.1 blocks	1.0	87%
Shakira Austin	Mystics	51	1.3 blocks	1.1	86%
Ezi Magbegor	Storm	27	1.7 blocks	1.4	83%

The widest home and away gaps in WNBA blocks

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.

WNBA blocks — venue gaps
Player	Club	Home (games)	Away (games)	Gap
Rickea Jackson	Sky	0.2 (5)	1.2 (9)	1.0 away
Awak Kuier	Wings	2.0 (21)	1.2 (18)	0.8 at home
Ezi Magbegor	Storm	2.1 (12)	1.4 (15)	0.7 at home
Li Yueru	Wings	0.6 (17)	0.0 (14)	0.6 at home
Nyara Sabally	Tempo	0.6 (16)	1.2 (11)	0.6 away
Temi Fágbénlé	Valkyries	0.4 (7)	1.0 (5)	0.6 away
Azzi Fudd	Wings	1.1 (13)	0.6 (17)	0.5 at home
Kamilla Cardoso	Sky	1.3 (25)	1.8 (27)	0.5 away
Dominique Malonga	Storm	1.8 (20)	1.3 (25)	0.5 at home
Cameron Brink	Sparks	1.3 (21)	1.8 (21)	0.5 away

Ahead of their own baseline over the last five

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.

Ahead of their own baseline over the last five
Player	Club	Last 5	Full log	Difference
Monique Akoa Makani	Sparks	0.8 blocks	0.2 over 49	336% above
Erica Wheeler	Sparks	0.4 blocks	0.1 over 53	324% above
Raegan Beers	Sun	1.0 blocks	0.3 over 35	289% above
Alysha Clark	Wings	0.8 blocks	0.2 over 40	256% above
Li Yueru	Wings	1.2 blocks	0.4 over 31	238% above
Sami Whitcomb	Mercury	0.4 blocks	0.1 over 42	180% above
Arike Ogunbowale	Wings	0.2 blocks	0.1 over 42	180% above
Natasha Howard	Lynx	2.0 blocks	0.7 over 59	174% above
Aicha Coulibaly	Sky	0.6 blocks	0.2 over 30	157% above
Valeriane Ayayi	Mercury	0.6 blocks	0.2 over 34	155% above

Behind their own baseline over the last five

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.

Behind their own baseline over the last five
Player	Club	Full log	Difference
DeWanna Bonner	Dream	0.7 over 62	100% below
Jewell Loyd	Aces	0.3 over 61	100% below
Kahleah Copper	Mercury	0.1 over 61	100% below
Lexie Hull	Fever	0.2 over 59	100% below
Jessica Shepard	Wings	0.1 over 58	100% below
Courtney Williams	Lynx	0.2 over 58	100% below
Bridget Carleton	Fire	0.4 over 57	100% below
Natisha Hiedeman	Storm	0.2 over 56	100% below
Maya Caldwell	Lynx	0.1 over 55	100% below
Nneka Ogwumike	Sparks	0.3 over 53	100% below

Common questions

Where does the WNBA blocks coin-flip line sit?

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.

Is this a ranking of the best WNBA blocks props?

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.

How many games are behind each blocks figure?

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.

Does a blocks trend on this page predict the next game?

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.