How WNBA blocks actually behave

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Across 144 WNBA players with at least 10 logged games in blocks, this page measures 5568 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 144 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 16 players whose spread can be measured, 0 cluster tightly around their average, 2 vary moderately and 14 swing widely. 144 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 2026-11-15, rebuilt daily from official box scores. Window: 2026-05-08 to 2026-10-31. No prices appear on this page.

5,568 logged player-games from 353 unique games. A player-game is one player in one game, so a single game counts once for every player it logged.

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 144 measured; the figures above this table are over all 144.

WNBA blocks: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Kaila CharlesValkyries570.3 blocksOver 0.516 of 57 (28%)
Kayla ThorntonValkyries570.2 blocksOver 0.510 of 57 (18%)
Veronica BurtonValkyries570.6 blocksOver 0.521 of 57 (37%)
Isobel BorlaseDream560.1 blocksOver 0.58 of 56 (14%)
Kiah StokesValkyries561.9 blocksOver 1.529 of 56 (52%)
Angel ReeseDream550.9 blocksOver 0.533 of 55 (60%)
Jordin CanadaDream550.3 blocksOver 0.513 of 55 (24%)
Naz HillmonDream550.3 blocksOver 0.515 of 55 (27%)
Rhyne HowardDream550.9 blocksOver 0.535 of 55 (64%)
Tiffany HayesValkyries550.2 blocksOver 0.511 of 55 (20%)
Allisha GrayDream540.4 blocksOver 0.519 of 54 (35%)
DeWanna BonnerDream540.6 blocksOver 0.522 of 54 (41%)
Gabby WilliamsValkyries520.2 blocksOver 0.58 of 52 (15%)
Madina OkotDream510.3 blocksOver 0.512 of 51 (24%)
Cecilia ZandalasiniValkyries500.2 blocksOver 0.59 of 50 (18%)
Janelle SalaunValkyries500.1 blocksOver 0.54 of 50 (8%)
Chelsea GrayAces490.3 blocksOver 0.512 of 49 (24%)
Han XuLiberty490.7 blocksOver 0.524 of 49 (49%)
Jackie YoungAces490.2 blocksOver 0.510 of 49 (20%)
Pauline AstierLiberty490.1 blocksOver 0.55 of 49 (10%)
Jonquel JonesLiberty481.3 blocksOver 1.515 of 48 (31%)
Stephanie TalbotAces480.4 blocksOver 0.515 of 48 (31%)
A'ja WilsonAces471.9 blocksOver 1.532 of 47 (68%)
Arike OgunbowaleWings470.1 blocksOver 0.53 of 47 (6%)
Breanna StewartLiberty471.4 blocksOver 1.519 of 47 (40%)
Brianna TurnerAces470.6 blocksOver 0.521 of 47 (45%)
Jewell LoydAces470.1 blocksOver 0.55 of 47 (11%)
Kelsey MitchellFever470.1 blocksOver 0.56 of 47 (13%)
Lexie HullFever470.2 blocksOver 0.58 of 47 (17%)
Georgia AmooreMystics460.1 blocksOver 0.55 of 46 (11%)
Kayla McBrideLynx460.2 blocksOver 0.59 of 46 (20%)
Lauren BettsMystics460.9 blocksOver 0.524 of 46 (52%)
Makayla TimpsonFever460.7 blocksOver 0.520 of 46 (43%)
Marine JohannesLiberty460.1 blocksOver 0.55 of 46 (11%)
Maya CaldwellLynx460.2 blocksOver 0.57 of 46 (15%)
Monique BillingsFever460.4 blocksOver 0.517 of 46 (37%)
Natasha HowardLynx461.0 blocksOver 0.527 of 46 (59%)
Rebekah GardnerLiberty460.2 blocksOver 0.59 of 46 (20%)
Sophie CunninghamFever460.1 blocksOver 0.54 of 46 (9%)
Courtney WilliamsLynx450.3 blocksOver 0.59 of 45 (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
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Brittney GrinerSun181.8 blocks1.055%
Cameron BrinkSparks311.8 blocks1.267%
A'ja WilsonAces471.9 blocks1.370%
Dominique MalongaStorm351.4 blocks1.182%
Kiah StokesValkyries561.9 blocks1.683%
Emily EngstlerFire441.4 blocks1.283%
Kamilla CardosoSky431.5 blocks1.284%
Jonquel JonesLiberty481.3 blocks1.291%
Aliyah BostonFever431.2 blocks1.193%
Natasha MackMercury361.3 blocks1.294%

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
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Nia CoffeyLynx401.1 blocks1.1106%
Natasha HowardLynx461.0 blocks1.0102%
Shakira AustinMystics451.2 blocks1.299%
Ezi MagbegorStorm141.2 blocks1.299%
Awak KuierWings441.7 blocks1.797%
Breanna StewartLiberty471.4 blocks1.395%
Natasha MackMercury361.3 blocks1.294%
Aliyah BostonFever431.2 blocks1.193%
Jonquel JonesLiberty481.3 blocks1.291%
Kamilla CardosoSky431.5 blocks1.284%

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
PlayerClubHome (games)Away (games)Gap
Ezi MagbegorStorm1.8 (6)0.8 (8)1.0 at home
Kiah StokesValkyries2.3 (29)1.4 (27)0.9 at home
Dominique MalongaStorm1.8 (16)1.0 (19)0.8 at home
Aneesah MorrowTempo0.1 (11)0.8 (16)0.7 away
Kamilla CardosoSky1.1 (21)1.8 (22)0.7 away
Cameron BrinkSparks1.5 (15)2.1 (16)0.6 away
Nyara SaballyTempo0.6 (14)1.2 (10)0.6 away
Azzi FuddWings1.1 (13)0.6 (17)0.5 at home
Awak KuierWings2.0 (22)1.5 (22)0.5 at home
Nia CoffeyLynx1.3 (20)0.8 (20)0.5 at home

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
PlayerClubLast 5Full logDifference
Gabby WilliamsValkyries1.0 blocks0.2 over 52373% above
Stephanie TalbotAces1.2 blocks0.4 over 48220% above
Diamond MillerSun0.8 blocks0.3 over 43213% above
Allisha GrayDream1.2 blocks0.4 over 54182% above
Isobel BorlaseDream0.4 blocks0.1 over 56180% above
Lexi HeldMercury0.4 blocks0.1 over 42180% above
Nyadiew PuochFire0.4 blocks0.1 over 42180% above
Raegan BeersSun0.8 blocks0.3 over 38176% above
Veronica BurtonValkyries1.6 blocks0.6 over 57168% above
Valeriane AyayiMercury0.6 blocks0.2 over 35163% 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
PlayerClubLast 5Full logDifference
Kayla ThorntonValkyries0.0 blocks0.2 over 57100% below
Tiffany HayesValkyries0.0 blocks0.2 over 55100% below
DeWanna BonnerDream0.0 blocks0.6 over 54100% below
Janelle SalaunValkyries0.0 blocks0.1 over 50100% below
Pauline AstierLiberty0.0 blocks0.1 over 49100% below
Jackie YoungAces0.0 blocks0.2 over 49100% below
Jewell LoydAces0.0 blocks0.1 over 47100% below
Arike OgunbowaleWings0.0 blocks0.1 over 47100% below
Marine JohannesLiberty0.0 blocks0.1 over 46100% below
Sophie CunninghamFever0.0 blocks0.1 over 46100% 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 and grades are Parlay Builder’s own calculations.