How NBA blocks actually behave

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Across 448 NBA players with at least 10 logged games in blocks, this page measures 26701 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 448 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 105 logged games. Of the 41 players whose spread can be measured, 0 cluster tightly around their average, 1 vary moderately and 40 swing widely. 448 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: 2025-10-21 to 2026-06-13. No prices appear on this page.

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 448 measured; the figures above this table are over all 448.

NBA blocks — measured field
Player	Club	Logged games	Average	Balanced line	Hit rate there
Julian Champagnie	Spurs	105	0.5 blocks	Over 0.5	39 of 105 (37%)
Keldon Johnson	Spurs	105	0.1 blocks	Over 0.5	12 of 105 (11%)
Mikal Bridges	Knicks	101	0.7 blocks	Over 0.5	50 of 101 (50%)
Harrison Barnes	Spurs	97	0.1 blocks	Over 0.5	11 of 97 (11%)
Karl-Anthony Towns	Knicks	94	0.7 blocks	Over 0.5	46 of 94 (49%)
Carter Bryant	Spurs	93	0.3 blocks	Over 0.5	19 of 93 (20%)
De'Aaron Fox	Spurs	93	0.3 blocks	Over 0.5	24 of 93 (26%)
Jalen Brunson	Knicks	93	0.1 blocks	Over 0.5	8 of 93 (9%)
Javonte Green	Pistons	93	0.3 blocks	Over 0.5	20 of 93 (22%)
Cason Wallace	Thunder	92	0.4 blocks	Over 0.5	29 of 92 (32%)
Dylan Harper	Spurs	92	0.3 blocks	Over 0.5	24 of 92 (26%)
Julius Randle	Timberwolves	91	0.2 blocks	Over 0.5	18 of 91 (20%)
Luke Kornet	Spurs	91	0.9 blocks	Over 0.5	48 of 91 (53%)
Stephon Castle	Spurs	91	0.3 blocks	Over 0.5	25 of 91 (27%)
Devin Vassell	Spurs	90	0.5 blocks	Over 0.5	37 of 90 (41%)
Duncan Robinson	Pistons	90	0.3 blocks	Over 0.5	21 of 90 (23%)
Jake LaRavia	Lakers	90	0.5 blocks	Over 0.5	36 of 90 (40%)
Jordan Clarkson	Knicks	90	0.1 blocks	Over 0.5	10 of 90 (11%)
Desmond Bane	Magic	89	0.4 blocks	Over 0.5	28 of 89 (31%)
Jamal Shead	Raptors	89	0.2 blocks	Over 0.5	15 of 89 (17%)
Naz Reid	Timberwolves	89	0.9 blocks	Over 0.5	56 of 89 (63%)
Bruce Brown	Nuggets	88	0.2 blocks	Over 0.5	18 of 88 (20%)
Donovan Mitchell	Cavaliers	88	0.3 blocks	Over 0.5	21 of 88 (24%)
James Harden	Cavaliers	88	0.5 blocks	Over 0.5	31 of 88 (35%)
Luke Kennard	Lakers	88	0.1 blocks	Over 0.5	9 of 88 (10%)
Reed Sheppard	Rockets	88	0.7 blocks	Over 0.5	43 of 88 (49%)
Rudy Gobert	Timberwolves	88	1.6 blocks	Over 1.5	39 of 88 (44%)
Ausar Thompson	Pistons	87	1.1 blocks	Over 0.5	55 of 87 (63%)
Dennis Schröder	Cavaliers	87	0.2 blocks	Over 0.5	13 of 87 (15%)
Jose Alvarado	Knicks	87	0.1 blocks	Over 0.5	10 of 87 (11%)
Ronald Holland II	Pistons	87	0.3 blocks	Over 0.5	25 of 87 (29%)
Sandro Mamukelashvili	Raptors	87	0.5 blocks	Over 0.5	36 of 87 (41%)
Scottie Barnes	Raptors	87	1.5 blocks	Over 1.5	32 of 87 (37%)
Toumani Camara	Trail Blazers	87	0.4 blocks	Over 0.5	35 of 87 (40%)
Daniss Jenkins	Pistons	86	0.2 blocks	Over 0.5	16 of 86 (19%)
Donte DiVincenzo	Timberwolves	86	0.4 blocks	Over 0.5	26 of 86 (30%)
Oso Ighodaro	Suns	86	0.7 blocks	Over 0.5	42 of 86 (49%)
Payton Pritchard	Celtics	86	0.1 blocks	Over 0.5	9 of 86 (10%)
Quentin Grimes	76ers	86	0.4 blocks	Over 0.5	25 of 86 (29%)
Tim Hardaway Jr.	Nuggets	86	0.1 blocks	Over 0.5	10 of 86 (12%)

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
Player	Club	Logged games	Average	Standard deviation	Spread as % of average
Victor Wembanyama	Spurs	86	3.2 blocks	2.1	64%
Anthony Davis	Mavericks	20	1.6 blocks	1.2	72%
Jay Huff	Pacers	82	1.9 blocks	1.4	74%
Chet Holmgren	Thunder	84	1.8 blocks	1.5	80%
Derrick Jones Jr.	Clippers	50	1.0 blocks	0.8	80%
Alex Sarr	Wizards	48	2.0 blocks	1.6	80%
Keegan Murray	Kings	23	1.6 blocks	1.2	80%
Evan Mobley	Cavaliers	83	1.7 blocks	1.4	81%
Zach Edey	Grizzlies	11	1.9 blocks	1.6	82%
Al Horford	Warriors	45	1.1 blocks	1.0	84%

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
Player	Club	Logged games	Average	Standard deviation	Spread as % of average
Kel'el Ware	Heat	77	1.1 blocks	1.4	127%
Jaren Jackson Jr.	Jazz	48	1.4 blocks	1.6	114%
Adem Bona	76ers	81	1.1 blocks	1.2	108%
Onyeka Okongwu	Hawks	80	1.1 blocks	1.1	104%
Moussa Cisse	Mavericks	38	1.2 blocks	1.2	104%
Isaiah Stewart	Pistons	72	1.5 blocks	1.5	103%
Ausar Thompson	Pistons	87	1.1 blocks	1.1	103%
Alperen Sengun	Rockets	78	1.1 blocks	1.1	103%
Kristaps Porziņģis	Warriors	32	1.2 blocks	1.2	102%
Brook Lopez	Clippers	75	1.2 blocks	1.2	101%

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
Player	Club	Home (games)	Away (games)	Gap
Zach Edey	Grizzlies	0.5 (4)	2.7 (7)	2.2 away
DeJon Jarreau	Grizzlies	1.1 (7)	0.0 (4)	1.1 at home
DeAndre Jordan	Pelicans	1.4 (5)	0.4 (7)	1.0 at home
Santi Aldama	Grizzlies	1.1 (20)	0.3 (23)	0.8 at home
Neemias Queta	Celtics	0.9 (42)	1.7 (41)	0.8 away
Moussa Cisse	Mavericks	0.9 (22)	1.6 (16)	0.7 away
Isaiah Jackson	Clippers	1.2 (29)	0.5 (26)	0.7 at home
PJ Hall	Hornets	0.3 (12)	1.0 (7)	0.7 away
Cade Cunningham	Pistons	1.1 (36)	0.5 (42)	0.6 at home
Isaiah Hartenstein	Thunder	1.1 (29)	0.5 (33)	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
Player	Club	Last 5	Full log	Difference
Will Riley	Wizards	0.6 blocks	0.1 over 74	393% above
Andre Jackson Jr.	Bucks	0.4 blocks	0.1 over 48	380% above
Rayan Rupert	Grizzlies	0.6 blocks	0.1 over 64	327% above
Saddiq Bey	Pelicans	0.4 blocks	0.1 over 72	311% above
Micah Peavy	Pelicans	0.6 blocks	0.1 over 61	307% above
Jamal Cain	Magic	0.6 blocks	0.1 over 47	303% above
Julian Strawther	Nuggets	0.4 blocks	0.1 over 59	293% above
Lachlan Olbrich	Bulls	0.8 blocks	0.2 over 37	270% above
Drake Powell	Nets	0.8 blocks	0.2 over 63	260% above
Bismack Biyombo	Spurs	0.4 blocks	0.1 over 34	240% 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
Keldon Johnson	Spurs	0.1 over 105	100% below
Harrison Barnes	Spurs	0.1 over 97	100% below
Jalen Brunson	Knicks	0.1 over 93	100% below
Javonte Green	Pistons	0.3 over 93	100% below
Luke Kornet	Spurs	0.9 over 91	100% below
Julius Randle	Timberwolves	0.2 over 91	100% below
Jordan Clarkson	Knicks	0.1 over 90	100% below
Jamal Shead	Raptors	0.2 over 89	100% below
Luke Kennard	Lakers	0.1 over 88	100% below
Bruce Brown	Nuggets	0.2 over 88	100% 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, edges and grades are Parlay Builder’s own calculations.