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 · TOR @ WSH
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Lock a leg, or hit Fill the rest
  • Nothing picked yet
Leg pool64 legs at Fanatics · 118 rungs folded in · 51 not simulated
PlayerPropPriceOursBookEV
Alex SarrCPoints 18.5++32035%—+48.2%
Scottie BarnesFRebounds 9.5++32034%—+43.0%
Scottie BarnesFDouble double+26036%—+30.2%
Kyshawn GeorgeFPoints 13.5++11560%—+28.2%
Alex SarrCRebounds 8.5++22539%—+27.5%
Kawhi LeonardFRebounds 7.5++23037%—+20.8%
Kawhi LeonardFPoints 21.5+-17576%—+19.5%
Kawhi LeonardFPoints 22.5+-14069%—+18.3%
Kawhi LeonardFPoints 18.5+-37593%—+17.7%
Kyshawn GeorgeFPoints 11.5+-15067%—+12.2%
Kawhi LeonardFPoints 16.5+-65096%—+10.5%
Alex SarrCPoints 10.5+-21075%—+10.0%
Scottie BarnesFPoints 23.5++24031%—+4.9%
RJ BarrettFPoints 19.5+-11556%50%+4.5%
Kyshawn GeorgeFPoints 8.5+-40083%—+3.4%
Kawhi LeonardFRebounds 4.5+-25073%—+2.5%
RJ BarrettFPoints 12.5+-80090%—+0.9%
Immanuel QuickleyGPoints 16.5+-10551%—+0.3%
RJ BarrettFPoints 15.5+-35078%—+0.2%
Immanuel QuickleyGPoints 14.5+-17564%—-0.2%
Immanuel QuickleyGAssists 5.5+-14058%54%-0.4%
RJ BarrettFRebounds 5.5+-11553%50%-1.0%
Kawhi LeonardFRebounds 3.5+-52583%—-1.1%
Alex SarrCRebounds 5.5+-19065%—-1.2%
Alex SarrCPoints 6.5+-90088%—-2.0%
Alex SarrCPoints 8.5+-40078%—-2.0%
Immanuel QuickleyGPoints 12.5+-30073%—-2.7%
Scottie BarnesFPoints 12.5+-70085%—-2.7%
Immanuel QuickleyGAssists 3.5+-63084%—-2.9%
Immanuel QuickleyGPoints 8.5+-100088%—-3.4%
RJ BarrettFPoints 17.5+-19063%—-3.5%
Jakob PoeltlCPoints 15.5++40019%—-3.5%
Kyshawn GeorgeFPoints 6.5+-90087%—-3.8%
Bilal CoulibalyGPoints 10.5+-14056%—-4.4%
Bilal CoulibalyGPoints 9.5+-19062%—-4.9%
Scottie BarnesFPoints 13.5+-52580%—-5.0%
Alex SarrCRebounds 3.5+-80084%—-5.2%
Immanuel QuickleyGAssists 4.5+-30070%—-6.3%
Jakob PoeltlCRebounds 9.5++23028%—-7.4%
RJ BarrettFRebounds 3.5+-47576%—-7.4%
Scottie BarnesFRebounds 4.5+-52577%—-8.8%
Alex SarrCRebounds 4.5+-35071%—-9.2%
Bilal CoulibalyGPoints 5.5+-100082%—-9.8%
Scottie BarnesFAssists 3.5+-65078%—-10.4%
RJ BarrettFRebounds 4.5+-24063%—-10.4%
Scottie BarnesFRebounds 5.5+-25064%—-10.6%
Jakob PoeltlCPoints 7.5+-30067%—-11.1%
Jakob PoeltlCPoints 5.5+-80079%—-11.2%
Bilal CoulibalyGPoints 8.5+-30066%—-12.6%
Scottie BarnesFAssists 7.5++22527%—-13.5%
Scottie BarnesFPoints 16.5+-21059%—-13.6%
Jakob PoeltlCRebounds 5.5+-35067%—-14.3%
Jakob PoeltlCRebounds 4.5+-80075%—-15.1%
Collin Murray-BoylesFRebounds 3.5+-70074%—-15.5%
Jakob PoeltlCPoints 8.5+-19054%—-17.0%
Scottie BarnesFAssists 4.5+-30062%—-17.7%
Collin Murray-BoylesFPoints 10.5+-10542%—-17.9%
Jakob PoeltlCRebounds 6.5+-19053%—-19.7%
Collin Murray-BoylesFPoints 9.5+-15048%—-20.3%
Collin Murray-BoylesFPoints 5.5+-100072%—-20.3%
Collin Murray-BoylesFPoints 7.5+-35059%—-23.6%
Collin Murray-BoylesFRebounds 6.5++12033%—-26.7%
Collin Murray-BoylesFRebounds 4.5+-32552%—-31.8%
Collin Murray-BoylesFRebounds 5.5+-15038%—-37.2%

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.

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.