How NBA steals actually behave

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Across 520 NBA players with at least 10 logged games in steals, this page measures 32042 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 520 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 125 players whose spread can be measured, 0 cluster tightly around their average, 8 vary moderately and 117 swing widely. 520 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.

32,042 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 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 520 measured; the figures above this table are over all 520.

NBA steals: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Julian ChampagnieSpurs1180.9 stealsOver 0.565 of 118 (55%)
Keldon JohnsonSpurs1180.6 stealsOver 0.553 of 118 (45%)
Mikal BridgesKnicks1131.2 stealsOver 1.542 of 113 (37%)
Harrison BarnesSpurs1080.5 stealsOver 0.540 of 108 (37%)
De'Aaron FoxSpurs1061.3 stealsOver 1.535 of 106 (33%)
Karl-Anthony TownsKnicks1060.9 stealsOver 0.563 of 106 (59%)
Carter BryantSpurs1050.2 stealsOver 0.518 of 105 (17%)
Dylan HarperSpurs1050.8 stealsOver 0.554 of 105 (51%)
Jalen BrunsonKnicks1050.8 stealsOver 0.552 of 105 (50%)
Javonte GreenPistons1051.1 stealsOver 0.568 of 105 (65%)
Luke KornetSpurs1040.5 stealsOver 0.537 of 104 (36%)
Stephon CastleSpurs1041.1 stealsOver 0.567 of 104 (64%)
Julius RandleNets1031.0 stealsOver 0.563 of 103 (61%)
Desmond BaneMagic1021.1 stealsOver 0.566 of 102 (65%)
Duncan RobinsonPistons1020.8 stealsOver 0.547 of 102 (46%)
Jake LaRaviaLakers1021.2 stealsOver 1.534 of 102 (33%)
Devin VassellSpurs1011.0 stealsOver 0.561 of 101 (60%)
Donovan MitchellCavaliers1011.4 stealsOver 1.540 of 101 (40%)
Jamal SheadRaptors1011.0 stealsOver 0.564 of 101 (63%)
James HardenCavaliers1011.2 stealsOver 1.533 of 101 (33%)
Naz ReidHornets1010.9 stealsOver 0.560 of 101 (59%)
Jordan ClarksonKnicks1000.4 stealsOver 0.529 of 100 (29%)
Rudy GobertTimberwolves1000.8 stealsOver 0.554 of 100 (54%)
Sandro MamukelashviliLakers1000.8 stealsOver 0.557 of 100 (57%)
Toumani CamaraTrail Blazers1001.1 stealsOver 0.566 of 100 (66%)
Ronald Holland IIPistons991.0 stealsOver 0.567 of 99 (68%)
Victor WembanyamaSpurs991.0 stealsOver 0.567 of 99 (68%)
VJ Edgecombe76ers991.4 stealsOver 1.542 of 99 (42%)
Wendell Carter Jr.Magic990.8 stealsOver 0.558 of 99 (59%)
Amen ThompsonRockets981.5 stealsOver 1.542 of 98 (43%)
Ausar ThompsonPistons981.9 stealsOver 1.555 of 98 (56%)
Daniss JenkinsPistons980.8 stealsOver 0.546 of 98 (47%)
Jaden McDanielsTimberwolves981.0 stealsOver 0.558 of 98 (59%)
Luke KennardSuns980.7 stealsOver 0.547 of 98 (48%)
Payton PritchardCeltics980.7 stealsOver 0.553 of 98 (54%)
Quentin GrimesLakers980.8 stealsOver 0.550 of 98 (51%)
Reed SheppardRockets981.5 stealsOver 1.542 of 98 (43%)
Collin GillespieSuns971.3 stealsOver 1.536 of 97 (37%)
Luguentz DortHawks970.9 stealsOver 0.556 of 97 (58%)
Nickeil Alexander-WalkerHawks971.3 stealsOver 1.539 of 97 (40%)

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
Caleb WilsonBulls101.8 steals1.054%
Meleek ThomasCavaliers111.1 steals0.761%
Bez MbengJazz152.3 steals1.461%
Kevin Porter Jr.Bucks382.2 steals1.462%
Dejounte MurrayPelicans231.6 steals1.165%
Dyson DanielsHawks952.1 steals1.467%
Matisse ThybulleLakers481.9 steals1.369%
Cason WallaceThunder952.0 steals1.469%
Scottie BarnesRaptors951.5 steals1.172%
Ausar ThompsonPistons981.9 steals1.473%

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%
Jahmai MashackGrizzlies351.1 steals1.3121%
Jalen GreenSuns491.0 steals1.2115%
Elijah HarklessPistons281.1 steals1.3114%
Will RichardWarriors821.0 steals1.2113%
Mac McClungBulls111.0 steals1.1113%
Julian ReesePelicans181.1 steals1.2112%
Jaren Jackson Jr.Jazz521.0 steals1.2112%
Zion WilliamsonPelicans751.1 steals1.3111%

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 HarklessPistons1.8 (11)0.6 (17)1.2 at home
Scotty Pippen Jr.Grizzlies2.5 (4)1.3 (11)1.2 at home
Cormac RyanBucks1.6 (5)0.5 (6)1.1 at home
Stephen CurryWarriors0.7 (29)1.6 (26)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
Jayson TatumCeltics1.5 (16)0.7 (17)0.8 at home
Nikola TopićThunder0.0 (9)0.8 (11)0.8 away
Vince Williams Jr.Jazz0.4 (20)1.1 (20)0.7 away
Kennedy ChandlerJazz1.3 (6)0.6 (5)0.7 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
Yang HansenTrail Blazers0.4 steals0.1 over 54332% above
Trayce Jackson-DavisRaptors1.4 steals0.4 over 65279% above
Lachlan OlbrichBulls1.2 steals0.3 over 37270% above
Chris YoungbloodTrail Blazers0.6 steals0.2 over 40243% above
Khaman MaluachSuns0.6 steals0.2 over 62238% above
Yanic Konan NiederhäuserClippers0.4 steals0.1 over 41228% above
Jaden IveyBulls1.8 steals0.6 over 37190% above
Cam ThomasBucks0.6 steals0.2 over 42180% above
Alijah MartinRaptors1.2 steals0.4 over 34172% above
E.J. LiddellNets0.6 steals0.2 over 26160% 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
Luke KornetSpurs0.0 steals0.5 over 104100% below
Jordan ClarksonKnicks0.0 steals0.4 over 100100% below
Luke KennardSuns0.0 steals0.7 over 98100% below
DeMar DeRozanNuggets0.0 steals1.0 over 87100% below
Kyle FilipowskiJazz0.0 steals0.9 over 86100% below
Nique CliffordThunder0.0 steals0.8 over 86100% below
Will RileyWizards0.0 steals0.6 over 84100% below
Mouhamed GueyeHawks0.0 steals0.7 over 83100% below
Isaiah StewartGrizzlies0.0 steals0.2 over 82100% below
Nikola VučevićMagic0.0 steals0.5 over 82100% 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 and grades are Parlay Builder’s own calculations.