How NBA 3-pointers made actually behave

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Across 485 NBA players with at least 10 logged games in 3-pointers made, this page measures 29776 games in total. The median player in that field averages 1.1 three-pointers. The line closest to a coin flip sits at 0.5 for the median of the 485 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 276 players whose spread can be measured, 0 cluster tightly around their average, 63 vary moderately and 213 swing widely. 485 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.

29,776 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 3-pointers made

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 485 measured; the figures above this table are over all 485.

NBA 3-pointers made: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Julian ChampagnieSpurs1182.5 three-pointersOver 2.549 of 118 (42%)
Keldon JohnsonSpurs1181.1 three-pointersOver 0.571 of 118 (60%)
Mikal BridgesKnicks1131.7 three-pointersOver 1.557 of 113 (50%)
Harrison BarnesSpurs1081.5 three-pointersOver 1.545 of 108 (42%)
De'Aaron FoxSpurs1061.6 three-pointersOver 1.552 of 106 (49%)
Karl-Anthony TownsKnicks1061.5 three-pointersOver 1.548 of 106 (45%)
Carter BryantSpurs1050.7 three-pointersOver 0.550 of 105 (48%)
Dylan HarperSpurs1050.9 three-pointersOver 0.566 of 105 (63%)
Jalen BrunsonKnicks1052.6 three-pointersOver 2.552 of 105 (50%)
Javonte GreenPistons1051.1 three-pointersOver 0.572 of 105 (69%)
Stephon CastleSpurs1041.4 three-pointersOver 1.540 of 104 (38%)
Julius RandleNets1031.3 three-pointersOver 1.541 of 103 (40%)
Desmond BaneMagic1022.4 three-pointersOver 2.543 of 102 (42%)
Duncan RobinsonPistons1023.0 three-pointersOver 3.537 of 102 (36%)
Jake LaRaviaLakers1020.9 three-pointersOver 0.551 of 102 (50%)
Devin VassellSpurs1012.4 three-pointersOver 2.541 of 101 (41%)
Donovan MitchellCavaliers1013.1 three-pointersOver 2.557 of 101 (56%)
Jamal SheadRaptors1011.1 three-pointersOver 0.564 of 101 (63%)
James HardenCavaliers1012.8 three-pointersOver 2.559 of 101 (58%)
Naz ReidHornets1012.1 three-pointersOver 1.559 of 101 (58%)
Jordan ClarksonKnicks1000.8 three-pointersOver 0.545 of 100 (45%)
Sandro MamukelashviliLakers1001.4 three-pointersOver 1.539 of 100 (39%)
Toumani CamaraTrail Blazers1002.6 three-pointersOver 2.549 of 100 (49%)
Ronald Holland IIPistons990.6 three-pointersOver 0.542 of 99 (42%)
Victor WembanyamaSpurs991.9 three-pointersOver 1.553 of 99 (54%)
VJ Edgecombe76ers991.9 three-pointersOver 1.552 of 99 (53%)
Wendell Carter Jr.Magic990.9 three-pointersOver 0.560 of 99 (61%)
Amen ThompsonRockets980.3 three-pointersOver 0.525 of 98 (26%)
Ausar ThompsonPistons980.1 three-pointersOver 0.57 of 98 (7%)
Daniss JenkinsPistons981.2 three-pointersOver 0.561 of 98 (62%)
Jaden McDanielsTimberwolves981.3 three-pointersOver 1.538 of 98 (39%)
Luke KennardSuns981.6 three-pointersOver 1.541 of 98 (42%)
Payton PritchardCeltics982.6 three-pointersOver 2.546 of 98 (47%)
Quentin GrimesLakers981.5 three-pointersOver 1.543 of 98 (44%)
Reed SheppardRockets982.7 three-pointersOver 2.548 of 98 (49%)
Collin GillespieSuns972.7 three-pointersOver 2.552 of 97 (54%)
Luguentz DortHawks971.8 three-pointersOver 1.547 of 97 (48%)
Nickeil Alexander-WalkerHawks973.3 three-pointersOver 3.539 of 97 (40%)
Sam HauserCeltics972.5 three-pointersOver 2.538 of 97 (39%)
Tim Hardaway Jr.Heat972.5 three-pointersOver 2.542 of 97 (43%)

The steadiest NBA 3-pointers made 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 3-pointers made records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Fred VanVleetRockets112.9 three-pointers1.240%
Meleek ThomasCavaliers112.6 three-pointers1.141%
Blake HinsonJazz142.6 three-pointers1.142%
Ty JeromeGrizzlies262.7 three-pointers1.347%
Luka DončićLakers754.2 three-pointers2.047%
Jayson TatumCeltics332.8 three-pointers1.449%
Stephen CurryWarriors554.4 three-pointers2.250%
Brandon MillerHornets773.1 three-pointers1.650%
Duncan RobinsonPistons1023.0 three-pointers1.652%
Damian LillardTrail Blazers123.1 three-pointers1.754%

The widest NBA 3-pointers made 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 3-pointers made swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Koby BreaSuns121.1 three-pointers1.6148%
Nick Smith Jr.Lakers361.0 three-pointers1.3131%
Cameron Payne76ers221.5 three-pointers1.9131%
D'Angelo RussellMavericks261.3 three-pointers1.7130%
Olivier-Maxence ProsperGrizzlies601.0 three-pointers1.3129%
Tyrese ProctorCavaliers671.0 three-pointers1.3128%
Malachi SmithRaptors171.2 three-pointers1.5128%
Julian StrawtherNuggets591.0 three-pointers1.3128%
Tristan VukcevicWizards491.0 three-pointers1.3126%
Kasparas JakučionisBucks651.1 three-pointers1.4125%

The widest home and away gaps in NBA 3-pointers made

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 3-pointers made: venue gaps
PlayerClubHome (games)Away (games)Gap
LJ CryerWarriors1.2 (14)2.6 (14)1.4 away
Cameron Payne76ers2.2 (10)0.8 (12)1.4 at home
Nate WilliamsWarriors1.8 (5)0.4 (9)1.4 at home
Koby BreaSuns0.6 (8)2.0 (4)1.4 away
Haywood HighsmithSuns0.0 (4)1.3 (6)1.3 away
Keaton WaglerClippers2.3 (6)1.0 (5)1.3 at home
Malachi SmithRaptors0.7 (10)1.9 (7)1.2 away
Bobby PortisBucks2.6 (32)1.5 (35)1.1 at home
Bobby Portis Jr.Heat1.8 (6)0.7 (7)1.1 at home
Ace BaileyJazz2.4 (44)1.3 (41)1.1 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
Zion WilliamsonPelicans0.6 three-pointers0.1 over 75543% above
Neemias QuetaCeltics0.2 three-pointers0.0 over 95375% above
Alijah MartinRaptors2.2 three-pointers0.5 over 34340% above
Jarrett AllenCavaliers0.2 three-pointers0.0 over 85325% above
Joe InglesTimberwolves1.2 three-pointers0.3 over 30300% above
Yang HansenTrail Blazers0.6 three-pointers0.2 over 54224% above
E.J. LiddellNets2.2 three-pointers0.7 over 26218% above
Maxime RaynaudKings1.0 three-pointers0.3 over 74208% above
Jamison BattleRaptors2.6 three-pointers0.9 over 79202% above
Malaki BranhamWizards1.4 three-pointers0.5 over 28180% 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
Ausar ThompsonPistons0.0 three-pointers0.1 over 98100% below
Amen ThompsonRockets0.0 three-pointers0.3 over 98100% below
Jaxson HayesJazz0.0 three-pointers0.0 over 88100% below
DeMar DeRozanNuggets0.0 three-pointers0.6 over 87100% below
Andre DrummondKnicks0.0 three-pointers0.4 over 87100% below
Paul ReedPistons0.0 three-pointers0.2 over 86100% below
Craig Porter Jr.Cavaliers0.0 three-pointers0.4 over 82100% below
Dominick Barlow76ers0.0 three-pointers0.3 over 81100% below
Jarred VanderbiltLakers0.0 three-pointers0.4 over 80100% below
Dru SmithHeat0.0 three-pointers0.5 over 77100% below

Common questions

Where does the NBA 3-pointers made 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 3-pointers made 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 3-pointers made 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 3-pointers made 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.