How NBA blocks actually behave

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Across 478 NBA players with at least 10 logged games in blocks, this page measures 30977 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 478 players whose distribution supports one. Half the field is more often over it, half more often under. The deepest sample here is Julian Champagnie, with 118 logged games. Of the 42 players whose spread can be measured, 0 cluster tightly around their average, 2 vary moderately and 40 swing widely. 478 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: 2025-10-21 to 2026-11-14. No prices appear on this page.

30,977 logged player-games from 1,509 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 NBA 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 478 measured; the figures above this table are over all 478.

NBA blocks: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Julian ChampagnieSpurs1180.5 blocksOver 0.543 of 118 (36%)
Keldon JohnsonSpurs1180.1 blocksOver 0.512 of 118 (10%)
Mikal BridgesKnicks1130.7 blocksOver 0.555 of 113 (49%)
Harrison BarnesSpurs1080.1 blocksOver 0.513 of 108 (12%)
De'Aaron FoxSpurs1060.3 blocksOver 0.530 of 106 (28%)
Karl-Anthony TownsKnicks1060.7 blocksOver 0.551 of 106 (48%)
Carter BryantSpurs1050.3 blocksOver 0.522 of 105 (21%)
Dylan HarperSpurs1050.3 blocksOver 0.526 of 105 (25%)
Jalen BrunsonKnicks1050.1 blocksOver 0.511 of 105 (10%)
Javonte GreenPistons1050.3 blocksOver 0.524 of 105 (23%)
Luke KornetSpurs1040.9 blocksOver 0.556 of 104 (54%)
Stephon CastleSpurs1040.3 blocksOver 0.529 of 104 (28%)
Julius RandleNets1030.2 blocksOver 0.520 of 103 (19%)
Desmond BaneMagic1020.5 blocksOver 0.533 of 102 (32%)
Duncan RobinsonPistons1020.3 blocksOver 0.523 of 102 (23%)
Jake LaRaviaLakers1020.5 blocksOver 0.542 of 102 (41%)
Devin VassellSpurs1010.4 blocksOver 0.540 of 101 (40%)
Donovan MitchellCavaliers1010.3 blocksOver 0.527 of 101 (27%)
Jamal SheadRaptors1010.2 blocksOver 0.517 of 101 (17%)
James HardenCavaliers1010.5 blocksOver 0.535 of 101 (35%)
Naz ReidHornets1010.9 blocksOver 0.561 of 101 (60%)
Jordan ClarksonKnicks1000.1 blocksOver 0.512 of 100 (12%)
Rudy GobertTimberwolves1001.5 blocksOver 1.541 of 100 (41%)
Sandro MamukelashviliLakers1000.5 blocksOver 0.543 of 100 (43%)
Toumani CamaraTrail Blazers1000.4 blocksOver 0.538 of 100 (38%)
Ronald Holland IIPistons990.4 blocksOver 0.532 of 99 (32%)
Victor WembanyamaSpurs993.3 blocksOver 3.541 of 99 (41%)
VJ Edgecombe76ers990.5 blocksOver 0.537 of 99 (37%)
Wendell Carter Jr.Magic990.7 blocksOver 0.551 of 99 (52%)
Amen ThompsonRockets980.7 blocksOver 0.545 of 98 (46%)
Ausar ThompsonPistons981.1 blocksOver 0.562 of 98 (63%)
Daniss JenkinsPistons980.2 blocksOver 0.517 of 98 (17%)
Jaden McDanielsTimberwolves980.9 blocksOver 0.554 of 98 (55%)
Luke KennardSuns980.1 blocksOver 0.59 of 98 (9%)
Payton PritchardCeltics980.1 blocksOver 0.511 of 98 (11%)
Quentin GrimesLakers980.4 blocksOver 0.528 of 98 (29%)
Reed SheppardRockets980.6 blocksOver 0.544 of 98 (45%)
Collin GillespieSuns970.2 blocksOver 0.519 of 97 (20%)
Luguentz DortHawks970.3 blocksOver 0.527 of 97 (28%)
Nickeil Alexander-WalkerHawks970.5 blocksOver 0.537 of 97 (38%)

The steadiest NBA 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 NBA blocks records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Aday MaraThunder131.8 blocks1.056%
Victor WembanyamaSpurs993.3 blocks2.164%
Mo BambaJazz131.5 blocks1.275%
Chet HolmgrenThunder871.9 blocks1.579%
Jay HuffPacers931.7 blocks1.480%
Zach EdeyGrizzlies211.6 blocks1.380%
Daniel GaffordMavericks681.3 blocks1.181%
Evan MobleyCavaliers951.7 blocks1.483%
Anthony DavisWizards311.4 blocks1.284%
Robert Williams IIITrail Blazers751.4 blocks1.286%

The widest NBA 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 NBA blocks swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Kel'el WareBucks911.1 blocks1.4123%
Moussa CisséMavericks461.0 blocks1.2120%
Jaren Jackson Jr.Jazz521.4 blocks1.6113%
Isaiah StewartGrizzlies821.4 blocks1.5107%
Moussa DiabatéHornets851.0 blocks1.1107%
Derrick WhiteCeltics961.2 blocks1.3105%
Adem Bona76ers911.1 blocks1.2105%
Onyeka OkongwuHawks931.0 blocks1.1104%
Ausar ThompsonPistons981.1 blocks1.1103%
Kristaps PorziņģisWarriors341.2 blocks1.2102%

The widest home and away gaps in NBA 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.

NBA blocks: venue gaps
PlayerClubHome (games)Away (games)Gap
Zach EdeyGrizzlies1.0 (10)2.2 (11)1.2 away
DeJon JarreauGrizzlies1.1 (7)0.0 (4)1.1 at home
Darryn PetersonJazz0.4 (7)1.2 (6)0.8 away
Neemias QuetaCeltics0.9 (47)1.6 (48)0.7 away
Bobby Portis Jr.Heat0.8 (6)0.1 (7)0.7 at home
Moussa CisséMavericks0.7 (27)1.4 (19)0.7 away
Caleb WilsonBulls0.5 (4)1.2 (6)0.7 away
Jalen SmithBulls1.1 (34)0.5 (30)0.6 at home
Nick RichardsHeat0.3 (28)0.9 (25)0.6 away
Charles BasseyWarriors1.1 (14)0.5 (11)0.6 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
Jase RichardsonMagic0.8 blocks0.1 over 67496% above
Andre Jackson Jr.Bucks0.4 blocks0.1 over 48380% above
Jared McCainThunder0.4 blocks0.1 over 95375% above
Kentavious Caldwell-Pope76ers1.0 blocks0.2 over 64357% above
Rayan Rupert76ers0.6 blocks0.1 over 66340% above
Klay ThompsonHeat1.6 blocks0.4 over 81318% above
Jordan McLaughlinSpurs0.2 blocks0.0 over 62313% above
Kevin HuerterPistons2.2 blocks0.5 over 86311% above
Pat SpencerSuns0.4 blocks0.1 over 71306% above
Mohamed DiawaraKnicks0.4 blocks0.1 over 81305% 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
Keldon JohnsonSpurs0.0 blocks0.1 over 118100% below
Javonte GreenPistons0.0 blocks0.3 over 105100% below
Duncan RobinsonPistons0.0 blocks0.3 over 102100% below
Desmond BaneMagic0.0 blocks0.5 over 102100% below
Jamal SheadRaptors0.0 blocks0.2 over 101100% below
Daniss JenkinsPistons0.0 blocks0.2 over 98100% below
Luke KennardSuns0.0 blocks0.1 over 98100% below
Payton PritchardCeltics0.0 blocks0.1 over 98100% below
Tim Hardaway Jr.Heat0.0 blocks0.2 over 97100% below
Collin GillespieSuns0.0 blocks0.2 over 97100% below

Common questions

Where does the NBA 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 NBA 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.

NBA 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.