How NBA turnovers actually behave

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Across 499 NBA players with at least 10 logged games in turnovers, this page measures 28078 games in total. The median player in that field averages 1.0 turnovers. The line closest to a coin flip sits at 0.5 for the median of the 499 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 252 players whose spread can be measured, 0 cluster tightly around their average, 87 vary moderately and 165 swing widely. 499 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 turnovers

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 499 measured; the figures above this table are over all 499.

NBA turnovers — measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Julian ChampagnieSpurs1050.8 turnoversOver 0.560 of 105 (57%)
Keldon JohnsonSpurs1050.9 turnoversOver 0.565 of 105 (62%)
Mikal BridgesKnicks1011.0 turnoversOver 0.567 of 101 (66%)
Harrison BarnesSpurs970.7 turnoversOver 0.546 of 97 (47%)
Karl-Anthony TownsKnicks942.5 turnoversOver 2.544 of 94 (47%)
Carter BryantSpurs930.5 turnoversOver 0.536 of 93 (39%)
De'Aaron FoxSpurs932.2 turnoversOver 2.535 of 93 (38%)
Jalen BrunsonKnicks932.4 turnoversOver 2.543 of 93 (46%)
Javonte GreenPistons930.5 turnoversOver 0.534 of 93 (37%)
Cason WallaceThunder920.9 turnoversOver 0.550 of 92 (54%)
Dylan HarperSpurs921.5 turnoversOver 1.542 of 92 (46%)
Julius RandleTimberwolves912.8 turnoversOver 2.547 of 91 (52%)
Luke KornetSpurs910.4 turnoversOver 0.532 of 91 (35%)
Stephon CastleSpurs913.3 turnoversOver 2.554 of 91 (59%)
Devin VassellSpurs900.9 turnoversOver 0.559 of 90 (66%)
Duncan RobinsonPistons900.7 turnoversOver 0.552 of 90 (58%)
Jake LaRaviaLakers901.1 turnoversOver 0.561 of 90 (68%)
Jordan ClarksonKnicks900.9 turnoversOver 0.555 of 90 (61%)
Desmond BaneMagic892.0 turnoversOver 1.555 of 89 (62%)
Jamal SheadRaptors891.4 turnoversOver 1.540 of 89 (45%)
Naz ReidTimberwolves891.6 turnoversOver 1.546 of 89 (52%)
Bruce BrownNuggets881.1 turnoversOver 1.532 of 88 (36%)
Donovan MitchellCavaliers882.8 turnoversOver 2.548 of 88 (55%)
James HardenCavaliers883.7 turnoversOver 3.546 of 88 (52%)
Luke KennardLakers880.8 turnoversOver 0.550 of 88 (57%)
Reed SheppardRockets881.5 turnoversOver 1.541 of 88 (47%)
Rudy GobertTimberwolves881.4 turnoversOver 1.537 of 88 (42%)
Ausar ThompsonPistons871.5 turnoversOver 1.539 of 87 (45%)
Dennis SchröderCavaliers871.7 turnoversOver 1.545 of 87 (52%)
Jose AlvaradoKnicks871.0 turnoversOver 0.555 of 87 (63%)
Ronald Holland IIPistons871.1 turnoversOver 0.557 of 87 (66%)
Sandro MamukelashviliRaptors870.8 turnoversOver 0.549 of 87 (56%)
Scottie BarnesRaptors872.7 turnoversOver 2.548 of 87 (55%)
Toumani CamaraTrail Blazers871.7 turnoversOver 1.545 of 87 (52%)
Daniss JenkinsPistons861.5 turnoversOver 1.530 of 86 (35%)
Donte DiVincenzoTimberwolves861.4 turnoversOver 1.531 of 86 (36%)
Oso IghodaroSuns861.3 turnoversOver 1.527 of 86 (31%)
Payton PritchardCeltics861.3 turnoversOver 1.531 of 86 (36%)
Quentin Grimes76ers861.6 turnoversOver 1.538 of 86 (44%)
Tim Hardaway Jr.Nuggets860.5 turnoversOver 0.536 of 86 (42%)

The steadiest NBA turnovers 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 turnovers records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Deni AvdijaTrail Blazers713.8 turnovers1.744%
Josh GiddeyBulls543.6 turnovers1.645%
Jaylen BrownCeltics783.6 turnovers1.746%
Jalen SuggsMagic642.7 turnovers1.348%
Jalen JohnsonHawks783.3 turnovers1.648%
Luka DončićLakers644.0 turnovers1.948%
Stephen CurryWarriors432.8 turnovers1.449%
Russell WestbrookKings643.3 turnovers1.650%
Giannis AntetokounmpoBucks363.2 turnovers1.650%
James HardenCavaliers883.7 turnovers1.951%

The widest NBA turnovers 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 turnovers swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Nikola TopićThunder191.4 turnovers2.1147%
KJ SimpsonNuggets201.3 turnovers1.8143%
Jahmai MashackGrizzlies311.6 turnovers2.0128%
Ousmane DiengBucks571.3 turnovers1.7126%
Jalen SlawsonPacers131.3 turnovers1.6121%
Tre MannHornets531.0 turnovers1.2120%
Cody WilliamsJazz671.1 turnovers1.3118%
Micah PotterPacers471.0 turnovers1.1113%
Kevin HuerterPistons741.0 turnovers1.1110%
Gui SantosWarriors681.5 turnovers1.6110%

The widest home and away gaps in NBA turnovers

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 turnovers — venue gaps
PlayerClubHome (games)Away (games)Gap
Leaky BlackWizards2.3 (4)0.5 (11)1.8 at home
Scotty Pippen Jr.Grizzlies3.7 (3)2.3 (7)1.4 at home
Jalen GreenSuns1.7 (19)3.1 (17)1.4 away
Trae YoungWizards3.3 (8)1.9 (7)1.4 at home
Nate WilliamsWarriors2.0 (5)0.6 (9)1.4 at home
Zach CollinsBulls0.5 (6)1.8 (4)1.3 away
Malachi SmithNets0.4 (9)1.7 (6)1.3 away
Tyler HerroHeat2.5 (17)1.4 (16)1.1 at home
Bogdan BogdanovićClippers1.8 (10)0.7 (13)1.1 at home
Vince Williams Jr.Jazz1.2 (20)2.3 (20)1.1 away

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
Jeff GreenRockets0.8 turnovers0.2 over 32412% above
Ousmane DiengBucks4.4 turnovers1.3 over 57234% above
Rayan RupertGrizzlies2.8 turnovers0.9 over 64226% above
Gary Trent Jr.Bucks2.0 turnovers0.6 over 65217% above
Micah PeavyPelicans1.0 turnovers0.3 over 61205% above
Jordan HawkinsPelicans2.0 turnovers0.7 over 51200% above
Pacôme DadietKnicks0.4 turnovers0.1 over 36188% above
Leonard MillerBulls2.2 turnovers0.8 over 46181% above
Amir CoffeySuns0.6 turnovers0.2 over 50173% above
Thanasis AntetokounmpoBucks0.8 turnovers0.3 over 34172% 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
Javonte GreenPistons0.0 turnovers0.5 over 93100% below
Gradey DickRaptors0.0 turnovers0.5 over 79100% below
Jordan WalshCeltics0.0 turnovers0.5 over 75100% below
Jaylen ClarkTimberwolves0.0 turnovers0.3 over 74100% below
Nae'Qwan TomlinCavaliers0.0 turnovers0.4 over 71100% below
Landry ShametKnicks0.0 turnovers0.5 over 70100% below
Dru SmithHeat0.0 turnovers0.8 over 70100% below
Vít KrejčíTrail Blazers0.0 turnovers0.6 over 69100% below
Will RichardWarriors0.0 turnovers0.8 over 69100% below
Noah PendaMagic0.0 turnovers0.7 over 60100% below

Common questions

Where does the NBA turnovers 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 turnovers 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 turnovers 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 turnovers 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.