MatchWiz

StackLab

Pick a game from tonight's slate, lock the legs you like, and the model fills the rest. Every price is a real one a book is posting right now.

Book
Target payout
Legs
Same-game parlay0 legs · DAL @ IND
—
Lock a leg, or hit Fill the rest
  • Nothing picked yet
Leg pool122 legs at FanDuel · 224 rungs folded in · 140 not simulated
PlayerPropPriceOursBookEV
P.J. WashingtonFPts+Reb 24.5++35042%—+90.7%
Kelly Oubre Jr.GPts+Reb 19.5++29045%—+77.3%
Andrew NembhardGPts+Reb+Ast 29.5++28046%—+74.4%
Andrew NembhardGPoints 19.5++34039%—+73.1%
P.J. WashingtonFReb+Ast 9.5++21053%—+62.9%
P.J. WashingtonFPts+Reb+Ast 24.5++23049%—+62.2%
P.J. WashingtonFPts+Ast 19.5++33036%—+53.0%
Andrew NembhardGPts+Ast 24.5++17056%—+50.5%
Kelly Oubre Jr.GPts+Reb+Ast 19.5++19050%—+45.0%
Max ChristieGPts+Reb 19.5++35031%—+40.6%
Andrew NembhardGPts+Reb 19.5++16452%—+38.5%
Naji MarshallFRebounds 5.5++30035%—+38.5%
Naji MarshallFPts+Reb+Ast 24.5++20046%—+38.5%
P.J. WashingtonFPoints 14.5++17649%—+35.7%
Kelly Oubre Jr.GThrees 2.5++37029%—+35.3%
Naji MarshallFPts+Reb 19.5++16850%—+34.0%
Naji MarshallFReb+Ast 9.5++20044%—+30.8%
Naji MarshallFPts+Ast 19.5++15551%—+30.8%
Kelly Oubre Jr.GPts+Ast 14.5++15050%—+25.0%
Daniel GaffordFPoints 14.5++39025%—+24.6%
Max ChristieGPts+Reb+Ast 19.5++20041%—+23.7%
Pascal SiakamFAssists 3.5++12854%—+22.3%
Cooper FlaggFReb+Ast 11.5+-11062%50%+17.7%
Kelly Oubre Jr.GRebounds 3.5+-16273%—+17.6%
Pascal SiakamFPts+Ast 26.5+-12865%52%+16.2%
Andrew NembhardGThrees 1.5++10257%46%+15.9%
Max ChristieGPts+Ast 14.5++12551%—+15.3%
Max ChristieGPts+Reb+Ast 14.5+-17073%—+15.1%
Andrew NembhardGPts+Ast 19.5+-19075%—+15.1%
Pascal SiakamFPoints 23.5+-11461%50%+14.3%
Kelly Oubre Jr.GPoints 9.5+-15870%—+13.8%
Max ChristieGThrees 2.5++16243%—+11.3%
Max ChristieGPts+Reb 9.5+-40089%—+10.9%
Max ChristieGPts+Ast 9.5+-32084%—+9.9%
Naji MarshallFPts+Reb 14.5+-20073%—+9.6%
Kelly Oubre Jr.GReb+Ast 4.5+-24577%—+8.8%
Cooper FlaggFRebounds 5.5+-17068%—+8.8%
Pascal SiakamFPts+Reb+Ast 34.5++10254%—+8.3%
Naji MarshallFPts+Reb+Ast 19.5+-16267%—+7.8%
Andrew NembhardGAssists 6.5+-13862%54%+7.4%
P.J. WashingtonFPts+Reb 14.5+-29580%—+6.7%
Max ChristieGThrees 1.5+-19270%—+6.5%
Andrew NembhardGPts+Reb 14.5+-23074%—+5.8%
Pascal SiakamFPts+Ast 24.5+-21071%—+4.8%
Pascal SiakamFThrees 1.5++12646%—+4.8%
P.J. WashingtonFPts+Ast 9.5+-47586%—+4.6%
Andrew NembhardGAssists 5.5+-26575%—+3.9%
P.J. WashingtonFPts+Reb+Ast 14.5+-50086%—+3.7%
P.J. WashingtonFRebounds 3.5+-65090%—+3.6%
Kelly Oubre Jr.GPts+Reb+Ast 14.5+-19468%—+3.3%
Andrew NembhardGThrees 0.5+-48085%—+3.0%
Andrew NembhardGPts+Reb+Ast 19.5+-36080%—+2.6%
P.J. WashingtonFReb+Ast 4.5+-100093%—+2.5%
Cooper FlaggFRebounds 3.5+-90092%—+2.0%
Naji MarshallFPts+Reb 9.5+-100092%—+1.5%
Max ChristieGPts+Reb+Ast 9.5+-95091%—+0.9%
Max ChristieGThrees 0.5+-100091%—+0.4%
Pascal SiakamFPts+Reb+Ast 29.5+-26572%—-0.2%
Cooper FlaggFReb+Ast 9.5+-29074%—-0.5%
Naji MarshallFPts+Ast 14.5+-23069%—-0.7%
Pascal SiakamFPts+Reb 30.5+-11452%50%-2.1%
Naji MarshallFPts+Reb+Ast 14.5+-59083%—-2.5%
Pascal SiakamFPts+Reb 24.5+-39077%—-3.5%
Ivica ZubacCReb+Ast 13.5+-13856%54%-3.8%
Pascal SiakamFPts+Ast 19.5+-70084%—-3.9%
Kelly Oubre Jr.GPts+Ast 9.5+-29071%—-4.2%
Kelly Oubre Jr.GPts+Reb 9.5+-59082%—-4.3%
Pascal SiakamFAssists 1.5+-67083%—-5.1%
Andrew NembhardGPts+Ast 14.5+-80084%—-5.9%
Pascal SiakamFPts+Reb+Ast 24.5+-85084%—-6.1%
Andrew NembhardGReb+Ast 9.5+-12852%—-6.6%
Cooper FlaggFPts+Reb+Ast 29.5+-39074%—-7.1%
P.J. WashingtonFThrees 0.5+-43075%—-8.1%
Cooper FlaggFPts+Reb 34.5++16834%—-8.2%
Daniel GaffordFPoints 4.5+-82081%—-8.7%
Pascal SiakamFThrees 0.5+-40072%—-9.4%
Ivica ZubacCAssists 1.5+-24563%—-10.6%
P.J. WashingtonFAssists 1.5+-14853%—-12.0%
Kelly Oubre Jr.GThrees 0.5+-39070%—-12.4%
Cooper FlaggFPts+Reb 24.5+-39068%—-13.9%
Max ChristieGRebounds 3.5++12239%—-14.0%
Andrew NembhardGRebounds 3.5++17631%—-14.0%
Daniel GaffordFPts+Reb 19.5++16432%—-15.0%
Pascal SiakamFRebounds 5.5+-21558%—-15.1%
Daniel GaffordFDouble double+40017%—-15.2%
Pascal SiakamFReb+Ast 9.5+-13048%—-15.4%
Cooper FlaggFPts+Reb+Ast 36.5+-10844%49%-15.6%
Cooper FlaggFDouble double+37018%—-16.3%
Naji MarshallFReb+Ast 4.5+-95076%—-16.4%
Cooper FlaggFAssists 5.5++12637%—-16.4%
P.J. WashingtonFThrees 1.5++11239%—-17.4%
Ivica ZubacCReb+Ast 9.5+-77073%—-17.4%
Max ChristieGReb+Ast 4.5+-22556%—-18.8%
Ivica ZubacCPts+Reb 19.5+-72071%—-19.0%
Ivica ZubacCAssists 3.5++32019%—-19.2%
Ivica ZubacCRebounds 13.5++20027%—-19.2%
Daniel GaffordFPts+Reb 14.5+-20554%—-19.3%
Max ChristieGAssists 1.5+-26057%—-20.4%
Ivica ZubacCRebounds 7.5+-85071%—-20.5%
Kelly Oubre Jr.GAssists 1.5+-11542%—-20.7%
Cooper FlaggFThrees 0.5+-40063%—-21.2%
Ivica ZubacCRebounds 9.5+-33060%—-22.3%
Daniel GaffordFRebounds 5.5+-29058%—-22.5%
Cooper FlaggFAssists 3.5+-39062%—-22.6%
Cooper FlaggFPoints 19.5+-33059%—-23.3%
Ivica ZubacCPts+Reb 24.5+-21052%—-23.4%
Cooper FlaggFPts+Reb+Ast 34.5+-15045%—-24.7%
Max ChristieGAssists 3.5++32018%—-26.5%
Cooper FlaggFPts+Ast 34.5++19525%—-27.3%
Cooper FlaggFPts+Ast 24.5+-34056%—-27.3%
Ivica ZubacCPts+Reb+Ast 24.5+-34056%—-27.8%
Pascal SiakamFRebounds 7.5++15828%—-28.9%
Pascal SiakamFDouble double+39014%—-29.0%
Ivica ZubacCPts+Reb+Ast 29.5+-12038%—-29.5%
Ivica ZubacCDouble double-21548%—-29.6%
Naji MarshallFAssists 3.5+-15041%—-31.6%
Ivica ZubacCPts+Ast 14.5+-30050%—-33.3%
Cooper FlaggFThrees 1.5++13027%—-37.0%
Ivica ZubacCPts+Reb 27.5+-11233%49%-38.1%
Ivica ZubacCPoints 15.5+-11433%50%-38.6%
Ivica ZubacCPts+Ast 17.5+-13035%53%-38.7%
Naji MarshallFAssists 5.5++28515%—-40.8%

One leg per player. Three rungs of the same man's ladder are the same bet three times — they win and lose together, and no book will take them in one slip. You get his best rung in each price band rather than every rung, for the same reason. Book is the de-vigged market price, or a dash where the market is quoted one way only and the hold can't be stripped out.

Why the number isn't a multiply

A multiply is wrong in basketball, and it's wrong in both directions at once. Which one you get depends on whether your legs are one player or two.

Stack one man's night and the legs ride together. We measured it on 79,638 real player-games across three seasons: his points and his assists both going over hits 28.7% more often than the multiply says, and his rebounds and made field goals 36.2% more often. Pair his points with his points-rebounds-assists and it's 92.4% — the same night counted twice. A multiply prices that slip as a much longer shot than it is.

Two teammates fight instead. One ball, about a hundred possessions, so a teammate's big night comes partly out of yours: two players both going over on points lands 4.7% less often than the product, and on made field goals 4.2% less. Here the multiply flatters the slip, which is the trap, because that's the stack that looks diversified.

Opponents barely move at all — within half a percent of the plain product on points and rebounds. The pace both teams play lifts both benches a little, and that's the whole of it.

So StackLab doesn't multiply. Every game here is simulated thousands of times off the players' own game logs, and each posted line carries a record of which runs it hit. The chance a whole slip lands is the share of runs where every leg hit at once.

What the EV number means

EV is our win probability times what the slip pays, minus one. Positive means our model makes the parlay worth more than it costs. Negative means the book is ahead of us, and that's the common answer — it should be. Books hold a margin on every leg, and a parlay multiplies it.

Which is why the leg-count strip matters. Inside a fixed payout band, each extra leg multiplies the same hold again, so EV falls as the count rises. The strip shows that shape on the pool in front of you.

Fill the rest won't pick a leg we can't stand behind. 7 of the 11 legs we can compare sit more than 10 points from the book's own number, and our pricer calls a gap that size a stale line or an injury we don't know about rather than an opportunity. The model is unbiased on average here and wide game to game, so those are the rows where it's likeliest to be the one that's wrong — and ranking by EV would otherwise reach for them first.

They're still on the board, and you can still lock one. That's your call to make with the number in front of you; what the model won't do is choose it for you and call the result an edge.

Every leg here is one a book is quoting

A leg only appears when a sportsbook is posting that exact line and we hold simulated runs behind it. The percentage beside a player is the same one his prop board shows — one model, one number, two pages.

The runs come from his own games. A player's line is priced off the shape of his last 40-plus box scores rather than a bell curve, because a counting stat isn't shaped like one, and the simulation draws whole box scores rather than one stat at a time. That's why his points and his rebounds move together by exactly as much as they really do.

We also publish how the model does against the market, and on NBA player props the market wins. Nothing here is sold as a pick. It's our number next to the book's, and a payout that's honest about what the legs do to each other.