How NBA steals actually behave

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Across 489 NBA players with at least 10 logged games in steals, this page measures 27909 games in total. The median player in that field averages 0.7 steals. The line closest to a coin flip sits at 0.5 for the median of the 489 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 117 players whose spread can be measured, 0 cluster tightly around their average, 5 vary moderately and 112 swing widely. 489 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 steals

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 489 measured; the figures above this table are over all 489.

NBA steals — measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Julian ChampagnieSpurs1050.9 stealsOver 0.558 of 105 (55%)
Keldon JohnsonSpurs1050.6 stealsOver 0.547 of 105 (45%)
Mikal BridgesKnicks1011.2 stealsOver 1.539 of 101 (39%)
Harrison BarnesSpurs970.5 stealsOver 0.539 of 97 (40%)
Karl-Anthony TownsKnicks940.9 stealsOver 0.556 of 94 (60%)
Carter BryantSpurs930.2 stealsOver 0.516 of 93 (17%)
De'Aaron FoxSpurs931.2 stealsOver 1.531 of 93 (33%)
Jalen BrunsonKnicks930.9 stealsOver 0.547 of 93 (51%)
Javonte GreenPistons931.2 stealsOver 0.563 of 93 (68%)
Cason WallaceThunder922.0 stealsOver 1.554 of 92 (59%)
Dylan HarperSpurs920.8 stealsOver 0.547 of 92 (51%)
Julius RandleTimberwolves911.0 stealsOver 0.556 of 91 (62%)
Luke KornetSpurs910.5 stealsOver 0.536 of 91 (40%)
Stephon CastleSpurs911.1 stealsOver 0.560 of 91 (66%)
Devin VassellSpurs901.0 stealsOver 0.552 of 90 (58%)
Duncan RobinsonPistons900.7 stealsOver 0.539 of 90 (43%)
Jake LaRaviaLakers901.2 stealsOver 1.531 of 90 (34%)
Jordan ClarksonKnicks900.4 stealsOver 0.528 of 90 (31%)
Desmond BaneMagic891.1 stealsOver 0.558 of 89 (65%)
Jamal SheadRaptors891.0 stealsOver 0.553 of 89 (60%)
Naz ReidTimberwolves890.9 stealsOver 0.554 of 89 (61%)
Bruce BrownNuggets881.1 stealsOver 0.550 of 88 (57%)
Donovan MitchellCavaliers881.4 stealsOver 1.534 of 88 (39%)
James HardenCavaliers881.3 stealsOver 1.530 of 88 (34%)
Luke KennardLakers880.7 stealsOver 0.546 of 88 (52%)
Reed SheppardRockets881.5 stealsOver 1.538 of 88 (43%)
Rudy GobertTimberwolves880.8 stealsOver 0.549 of 88 (56%)
Ausar ThompsonPistons872.0 stealsOver 1.550 of 87 (57%)
Dennis SchröderCavaliers870.7 stealsOver 0.544 of 87 (51%)
Jose AlvaradoKnicks870.9 stealsOver 0.546 of 87 (53%)
Ronald Holland IIPistons871.1 stealsOver 1.526 of 87 (30%)
Sandro MamukelashviliRaptors870.8 stealsOver 0.550 of 87 (57%)
Scottie BarnesRaptors871.4 stealsOver 1.535 of 87 (40%)
Toumani CamaraTrail Blazers871.2 stealsOver 0.559 of 87 (68%)
Daniss JenkinsPistons860.8 stealsOver 0.540 of 86 (47%)
Donte DiVincenzoTimberwolves861.3 stealsOver 1.531 of 86 (36%)
Oso IghodaroSuns860.9 stealsOver 0.546 of 86 (53%)
Payton PritchardCeltics860.7 stealsOver 0.546 of 86 (53%)
Quentin Grimes76ers860.8 stealsOver 0.544 of 86 (51%)
Tim Hardaway Jr.Nuggets860.5 stealsOver 0.535 of 86 (41%)

The steadiest NBA steals 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 steals records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Dejounte MurrayPelicans141.6 steals0.954%
Bez MbengJazz152.3 steals1.461%
Dyson DanielsHawks822.0 steals1.262%
Kevin Porter Jr.Bucks382.2 steals1.462%
Cason WallaceThunder922.0 steals1.469%
Ausar ThompsonPistons872.0 steals1.472%
Matisse ThybulleTrail Blazers341.9 steals1.372%
Collin GillespieSuns841.2 steals0.973%
Jordan GoodwinSuns711.5 steals1.173%
Scottie BarnesRaptors871.4 steals1.074%

The widest NBA steals 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 steals swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Cormac RyanBucks111.0 steals1.3135%
Tobias HarrisPistons771.0 steals1.3123%
Keegan MurrayKings231.0 steals1.2118%
Mac McClungBulls111.0 steals1.1113%
Jahmai MashackGrizzlies311.2 steals1.4113%
Leaky BlackWizards151.2 steals1.3111%
Lauri MarkkanenJazz421.0 steals1.1111%
Keon EllisCavaliers841.1 steals1.2110%
Jalen GreenSuns361.2 steals1.3110%
Bruce BrownNuggets881.1 steals1.2109%

The widest home and away gaps in NBA steals

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 steals — venue gaps
PlayerClubHome (games)Away (games)Gap
Elijah HarklessJazz1.8 (11)0.7 (15)1.1 at home
Cormac RyanBucks1.6 (5)0.5 (6)1.1 at home
Anthony DavisMavericks1.5 (12)0.5 (8)1.0 at home
Will RichardWarriors0.7 (35)1.6 (34)0.9 away
Stephen CurryWarriors0.7 (23)1.6 (20)0.9 away
Curtis JonesNuggets1.0 (3)0.1 (7)0.9 at home
Jimmy Butler IIIWarriors1.0 (21)1.9 (17)0.9 away
De'Anthony MeltonWarriors1.2 (26)2.0 (23)0.8 away
Paul George76ers2.0 (24)1.2 (24)0.8 at home
Jayson TatumCeltics1.7 (12)0.9 (10)0.8 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
Lachlan OlbrichBulls1.2 steals0.3 over 37270% above
Brooks BarnhizerThunder1.0 steals0.3 over 40264% above
Jericho SimsBucks1.0 steals0.3 over 67253% above
Yanic Konan NiederhäuserClippers0.4 steals0.1 over 41228% above
Moussa CisseMavericks1.6 steals0.5 over 38220% above
Jordan HawkinsPelicans0.8 steals0.3 over 51214% above
Jaden IveyBulls1.8 steals0.6 over 37190% above
Pacôme DadietKnicks0.4 steals0.1 over 36188% above
Drake PowellNets1.6 steals0.6 over 63180% above
Cam ThomasBucks0.6 steals0.2 over 42180% 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
Harrison BarnesSpurs0.0 steals0.5 over 97100% below
Javonte GreenPistons0.0 steals1.2 over 93100% below
Sam HauserCeltics0.0 steals0.5 over 85100% below
Tristan da SilvaMagic0.0 steals0.8 over 84100% below
Mouhamed GueyeHawks0.0 steals0.7 over 83100% below
Adem Bona76ers0.0 steals0.4 over 81100% below
Aaron WigginsThunder0.0 steals0.8 over 78100% below
Miles BridgesHornets0.0 steals0.6 over 77100% below
Luka GarzaCeltics0.0 steals0.4 over 76100% below
Ryan DunnSuns0.0 steals0.8 over 74100% below

Common questions

Where does the NBA steals 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 steals 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 steals 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 steals 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.