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 · ATL @ CHA
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Lock a leg, or hit Fill the rest
  • Nothing picked yet
Leg pool127 legs at FanDuel · 242 rungs folded in
PlayerPropPriceOursBookEV
Dyson DanielsGReb+Ast 14.5++29038%—+49.6%
Jalen JohnsonFPts+Ast 34.5++33030%—+28.0%
CJ McCollumGPts+Reb+Ast 29.5++32029%—+23.5%
CJ McCollumGAssists 3.5++14051%—+21.4%
Jalen JohnsonFPts+Reb+Ast 39.5++12654%—+21.1%
Onyeka OkongwuFThrees 2.5++29031%—+20.7%
CJ McCollumGPts+Ast 19.5+-12867%52%+19.5%
Dyson DanielsGPts+Reb+Ast 24.5++12452%—+17.2%
Nickeil Alexander-WalkerGPoints 19.5++11455%—+16.7%
CJ McCollumGPts+Reb 19.5+-11562%—+16.6%
CJ McCollumGThrees 2.5++16444%—+14.9%
Nickeil Alexander-WalkerGThrees 3.5++19639%—+14.4%
Onyeka OkongwuFPts+Reb 20.5+-11461%50%+14.0%
Jalen JohnsonFReb+Ast 19.5++21536%—+12.5%
Nickeil Alexander-WalkerGReb+Ast 6.5++11452%44%+11.9%
Nickeil Alexander-WalkerGPts+Reb+Ast 24.5+-12261%—+11.7%
Nickeil Alexander-WalkerGPts+Ast 21.5+-12060%51%+10.4%
CJ McCollumGPts+Reb+Ast 19.5+-24578%—+9.3%
Jalen JohnsonFPts+Reb 29.5+-12561%—+9.3%
Dyson DanielsGRebounds 7.5++17640%—+9.1%
CJ McCollumGRebounds 3.5++16441%—+8.7%
Nickeil Alexander-WalkerGPts+Reb+Ast 19.5+-39086%—+8.5%
CJ McCollumGReb+Ast 5.5+-15866%57%+7.6%
Nickeil Alexander-WalkerGPts+Ast 19.5+-21073%—+7.4%
Nickeil Alexander-WalkerGPts+Reb 19.5+-18469%—+7.0%
CJ McCollumGAssists 1.5+-53089%—+6.3%
Nickeil Alexander-WalkerGPoints 14.5+-31080%—+5.2%
Nickeil Alexander-WalkerGThrees 1.5+-40084%—+5.1%
Nickeil Alexander-WalkerGPts+Reb 24.5++16440%—+5.0%
Jalen JohnsonFPoints 19.5+-13861%—+4.7%
CJ McCollumGReb+Ast 4.5+-31079%—+4.2%
Dyson DanielsGRebounds 5.5+-20570%—+3.8%
Dyson DanielsGPts+Ast 16.5+-11255%49%+3.4%
CJ McCollumGPts+Reb 14.5+-40082%—+2.9%
CJ McCollumGPoints 14.5+-18867%—+2.7%
Nickeil Alexander-WalkerGPts+Ast 14.5+-70090%—+2.6%
Nickeil Alexander-WalkerGPts+Reb 14.5+-70090%—+2.6%
Jalen JohnsonFPts+Reb 24.5+-35080%—+2.5%
Dyson DanielsGPts+Reb+Ast 19.5+-26574%—+2.5%
Onyeka OkongwuFPts+Reb 14.5+-53086%—+1.9%
CJ McCollumGThrees 1.5+-18466%—+1.7%
Dyson DanielsGPts+Reb 14.5+-29076%—+1.6%
Nickeil Alexander-WalkerGAssists 1.5+-53085%—+1.3%
Onyeka OkongwuFPoints 9.5+-35079%—+1.0%
Jalen JohnsonFDouble double-16863%—+0.7%
Jalen JohnsonFRebounds 7.5+-29575%—+0.4%
Jalen JohnsonFReb+Ast 14.5+-25071%—+0.0%
CJ McCollumGRebounds 2.5+-15861%57%-0.1%
Nickeil Alexander-WalkerGRebounds 3.5++14441%—-0.2%
Jalen JohnsonFRebounds 9.5+-12856%—-0.3%
CJ McCollumGPts+Ast 14.5+-45081%—-0.8%
Jalen JohnsonFPts+Reb+Ast 34.5+-18664%—-1.1%
Onyeka OkongwuFRebounds 6.5+-15260%56%-1.3%
Jalen JohnsonFThrees 1.5++10249%46%-1.4%
Dyson DanielsGAssists 4.5+-15259%56%-1.7%
Nickeil Alexander-WalkerGReb+Ast 4.5+-35076%—-2.1%
Dyson DanielsGReb+Ast 9.5+-29072%—-3.1%
Jalen JohnsonFPts+Ast 24.5+-24068%—-3.9%
Dyson DanielsGPoints 14.5++23029%—-4.1%
Brandon MillerFThrees 1.5+-100087%—-4.1%
CJ McCollumGPts+Reb+Ast 14.5+-100087%—-4.2%
Dyson DanielsGAssists 3.5+-33073%—-4.5%
Moussa DiabateFPts+Reb 19.5++13241%—-4.8%
CJ McCollumGThrees 0.5+-100086%—-5.5%
Jalen JohnsonFPts+Reb+Ast 29.5+-52079%—-6.3%
Sion JamesGRebounds 3.5++10645%—-6.4%
Moussa DiabateFPoints 4.5+-71082%—-6.4%
Dyson DanielsGPts+Reb 17.5+-12852%52%-6.8%
Jalen JohnsonFAssists 5.5+-31070%—-7.1%
Brandon MillerFRebounds 7.5++40019%—-7.2%
Dyson DanielsGPts+Ast 14.5+-21063%—-7.3%
Jalen JohnsonFPts+Ast 19.5+-90083%—-7.4%
Jalen JohnsonFThrees 0.5+-48076%—-7.9%
Brandon MillerFPts+Ast 19.5+-100081%—-10.4%
Onyeka OkongwuFThrees 0.5+-52074%—-12.0%
Brandon MillerFPts+Reb+Ast 24.5+-85079%—-12.2%
Moussa DiabateFDouble double+28023%—-12.3%
Moussa DiabateFRebounds 7.5+-23060%—-13.5%
Brandon MillerFThrees 2.5+-28063%—-14.7%
Naz ReidCRebounds 5.5+-32065%—-15.3%
Moussa DiabateFPts+Reb 14.5+-29563%—-15.9%
Brandon MillerFThrees 3.5+-10443%—-15.9%
Moussa DiabateFRebounds 5.5+-95074%—-17.8%
Brandon MillerFRebounds 3.5+-40066%—-17.9%
Naz ReidCAssists 1.5+-34063%—-17.9%
Sion JamesGThrees 0.5+-41064%—-20.8%
Dennis SchroderGPts+Reb+Ast 29.5++40015%—-23.1%
Naz ReidCPts+Reb+Ast 19.5+-90069%—-23.5%
Sion JamesGPts+Reb 10.5+-13243%53%-24.1%
Sion JamesGPoints 4.5+-39060%—-24.3%
Naz ReidCThrees 1.5+-33058%—-24.3%
Brandon MillerFAssists 3.5+-12541%—-25.4%
Brandon MillerFReb+Ast 9.5++11634%—-25.9%
Naz ReidCThrees 2.5++10037%47%-26.9%
Brandon MillerFPts+Ast 24.5+-29054%—-27.0%
Brandon MillerFPts+Reb 29.5+-13241%—-27.2%
Sion JamesGPts+Reb 9.5+-18047%—-27.5%
Naz ReidCAssists 2.5+-11238%49%-28.8%
Onyeka OkongwuFDouble double+36015%—-28.8%
Brandon MillerFReb+Ast 8.5+-15243%56%-28.9%
Brandon MillerFPts+Reb+Ast 29.5+-26551%—-29.2%
Brandon MillerFPts+Reb 24.5+-34054%—-29.7%
Dennis SchroderGThrees 0.5+-29052%—-30.5%
Naz ReidCPts+Ast 14.5+-65059%—-31.8%
Jalen JohnsonFTriple double+34015%—-31.9%
Sion JamesGThrees 1.5++12031%—-32.5%
Naz ReidCPts+Reb 19.5+-44055%—-32.7%
Brandon MillerFPts+Ast 28.5+-12536%52%-35.7%
Dennis SchroderGThrees 1.5++17223%42%-37.2%
Dennis SchroderGPts+Reb 19.5++20021%—-37.4%
Dennis SchroderGPts+Ast 24.5++26016%—-40.7%
Naz ReidCReb+Ast 9.5+-13033%—-41.0%
Dennis SchroderGAssists 3.5+-72052%—-41.2%
Dennis SchroderGPoints 9.5+-40046%—-42.3%
Naz ReidCRebounds 7.5++11427%—-42.5%
Brandon MillerFPts+Reb+Ast 34.5+-11130%—-43.0%
Naz ReidCPts+Reb+Ast 28.5+-11228%49%-47.1%
Naz ReidCPts+Reb+Ast 24.5+-25038%—-47.3%
Dennis SchroderGPts+Ast 14.5+-50043%—-48.6%
Dennis SchroderGPts+Reb+Ast 19.5+-24036%—-48.6%
Naz ReidCPts+Reb 24.5+-14230%—-48.7%
Dennis SchroderGPts+Reb 14.5+-18433%—-49.1%
Naz ReidCPts+Ast 19.5+-17532%—-49.3%
Dennis SchroderGReb+Ast 9.5++12422%—-50.8%
Dennis SchroderGAssists 5.5+-15029%—-52.4%
Naz ReidCPts+Ast 20.5+-13026%53%-54.3%
Naz ReidCDouble double+2806%—-75.5%

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. 11 of the 21 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.