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 · HOU @ SA
—
Lock a leg, or hit Fill the rest
  • Nothing picked yet
Leg pool139 legs at DraftKings · 423 rungs folded in · 54 not simulated
PlayerPropPriceOursBookEV
Amen ThompsonGAssists 5.5++21647%—+47.2%
Devin VassellGRebounds 5.5++39927%—+36.6%
Kevin DurantFAssists 5.5++30233%—+34.0%
Jabari Smith Jr.FRebounds 7.5++22141%—+30.6%
Devin VassellGPoints 10.5+-13073%53%+28.5%
De'Aaron FoxGReb+Ast 11.5++27034%—+25.8%
De'Aaron FoxGPoints 19.5++28932%—+24.5%
De'Aaron FoxGPts+Ast 24.5++23137%—+22.5%
De'Aaron FoxGPts+Reb 24.5++33728%—+22.4%
Devin VassellGPts+Reb+Ast 19.5++15148%—+21.5%
Alperen SengunCAssists 5.5++11755%—+19.1%
Jabari Smith Jr.FPts+Reb+Ast 21.5+-12165%51%+18.9%
Jabari Smith Jr.FPts+Reb 19.5+-12666%53%+18.9%
Devin VassellGReb+Ast 5.5+-13668%52%+18.7%
Amen ThompsonGAssists 3.5+-20178%—+17.4%
Jabari Smith Jr.FPts+Ast 14.5+-15371%—+17.3%
Devin VassellGPoints 9.5+-18576%—+16.8%
Jabari Smith Jr.FReb+Ast 7.5+-12264%51%+16.4%
Stephon CastleGAssists 7.5++18641%—+16.2%
De'Aaron FoxGThrees 2.5++38224%—+15.7%
Alperen SengunCAssists 4.5+-16071%—+14.9%
Devin VassellGPts+Reb 19.5++27531%—+14.5%
Jabari Smith Jr.FPts+Ast 15.5+-12062%51%+13.0%
De'Aaron FoxGPts+Reb+Ast 29.5++27630%—+12.8%
Jabari Smith Jr.FPts+Reb+Ast 19.5+-18873%—+12.2%
Jabari Smith Jr.FRebounds 3.5+-53194%—+11.9%
De'Aaron FoxGReb+Ast 7.5+-23578%—+11.2%
Jabari Smith Jr.FThrees 1.5+-17971%—+10.6%
Jabari Smith Jr.FPoints 13.5+-12662%—+10.5%
Kevin DurantFThrees 1.5+-17670%60%+10.1%
Devin VassellGRebounds 2.5+-26680%—+10.1%
Jabari Smith Jr.FRebounds 4.5+-25679%—+10.0%
Jabari Smith Jr.FPts+Reb 14.5+-41688%—+9.6%
Devin VassellGAssists 2.5++12149%—+9.3%
Victor WembanyamaFRebounds 13.5++26330%—+9.3%
Jabari Smith Jr.FPoints 11.5+-21474%—+9.2%
Devin VassellGPts+Ast 9.5+-40387%—+9.0%
Devin VassellGPts+Reb+Ast 14.5+-23977%—+9.0%
Jabari Smith Jr.FReb+Ast 4.5+-70095%—+9.0%
Devin VassellGThrees 2.5++16541%—+8.8%
Kevin DurantFPts+Ast 28.5+-11157%49%+8.6%
Devin VassellGPoints 7.5+-36985%—+8.4%
Amen ThompsonGAssists 2.5+-49390%—+8.0%
De'Aaron FoxGAssists 4.5+-19571%—+7.4%
Kevin DurantFPts+Ast 24.5+-24676%—+7.2%
Jabari Smith Jr.FPts+Ast 9.5+-67093%—+6.9%
Jabari Smith Jr.FPts+Reb+Ast 14.5+-67093%—+6.9%
Alperen SengunCPoints 11.5+-51589%—+6.3%
De'Aaron FoxGPts+Reb+Ast 19.5+-30780%—+6.1%
Amen ThompsonGPts+Reb 19.5+-34182%—+5.8%
Devin VassellGPts+Reb 9.5+-59491%—+5.8%
Stephon CastleGAssists 4.5+-31580%—+5.7%
Alperen SengunCAssists 3.5+-32180%—+5.6%
Stephon CastleGPoints 11.5+-45686%—+5.4%
Jabari Smith Jr.FThrees 2.5++15941%—+5.4%
Alperen SengunCPts+Ast 19.5+-25476%—+5.4%
Stephon CastleGAssists 3.5+-67092%—+5.4%
Devin VassellGThrees 1.5+-17867%61%+5.2%
Jabari Smith Jr.FPoints 7.5+-77093%—+5.1%
De'Aaron FoxGPts+Ast 14.5+-48487%—+5.0%
De'Aaron FoxGAssists 5.5+-10253%—+5.0%
Amen ThompsonGPts+Reb+Ast 24.5+-28077%—+4.9%
Jabari Smith Jr.FAssists 1.5+-12658%53%+4.3%
Alperen SengunCAssists 2.5+-73091%—+4.0%
Stephon CastleGPts+Reb+Ast 19.5+-75092%—+3.9%
De'Aaron FoxGAssists 3.5+-42984%—+3.6%
Stephon CastleGReb+Ast 7.5+-70091%—+3.6%
Kevin DurantFReb+Ast 7.5+-28076%—+3.4%
Devin VassellGThrees 0.5+-88093%—+3.2%
Alperen SengunCPts+Reb+Ast 24.5+-44484%—+3.1%
Kevin DurantFPts+Reb+Ast 29.5+-25374%—+3.0%
De'Aaron FoxGThrees 0.5+-35180%—+2.8%
Alperen SengunCPts+Reb 19.5+-49185%—+2.8%
Amen ThompsonGPts+Reb+Ast 19.5+-87092%—+2.6%
Devin VassellGPoints 5.5+-83092%—+2.6%
Alperen SengunCPts+Ast 14.5+-73090%—+2.6%
Amen ThompsonGPts+Ast 14.5+-58988%—+2.4%
Amen ThompsonGRebounds 6.5+-22170%—+2.3%
De'Aaron FoxGPts+Reb 14.5+-29176%—+2.1%
Jabari Smith Jr.FThrees 0.5+-81091%—+1.9%
Amen ThompsonGPoints 9.5+-85091%—+1.6%
Alperen SengunCPoints 9.5+-91091%—+1.5%
Stephon CastleGPoints 9.5+-85091%—+1.3%
Amen ThompsonGReb+Ast 7.5+-100092%—+1.3%
Stephon CastleGPts+Reb 14.5+-70089%—+1.2%
Amen ThompsonGPts+Reb 24.5+-11755%—+1.2%
Kevin DurantFThrees 2.5++15739%—+1.0%
Devin VassellGReb+Ast 4.5+-32077%—+0.9%
Alperen SengunCPoints 14.5+-24972%—+0.8%
Stephon CastleGRebounds 4.5+-16563%—+0.4%
Stephon CastleGPts+Ast 14.5+-94091%—+0.3%
Stephon CastleGRebounds 3.5+-33377%—+0.2%
Stephon CastleGReb+Ast 14.5++25528%—-0.2%
Kevin DurantFThrees 0.5+-85089%—-0.2%
Kevin DurantFAssists 2.5+-35177%—-0.6%
De'Aaron FoxGRebounds 4.5++19134%—-1.1%
Stephon CastleGAssists 5.5+-16461%—-1.1%
Stephon CastleGPts+Reb+Ast 24.5+-27472%—-1.9%
Kevin DurantFPts+Ast 19.5+-78087%—-2.0%
Kevin DurantFPts+Reb+Ast 24.5+-70086%—-2.0%
Alperen SengunCRebounds 5.5+-68085%—-2.1%
Kevin DurantFRebounds 3.5+-40679%—-2.1%
Stephon CastleGPts+Ast 19.5+-27772%—-2.2%
De'Aaron FoxGRebounds 2.5+-26571%—-2.2%
Kevin DurantFPoints 17.5+-49681%—-2.7%
Kevin DurantFPts+Reb 19.5+-99088%—-3.0%
Kevin DurantFPts+Reb 24.5+-30273%—-3.3%
Kevin DurantFRebounds 4.5+-18963%—-3.5%
Amen ThompsonGRebounds 4.5+-78085%—-3.8%
Amen ThompsonGRebounds 5.5+-40076%—-4.8%
Amen ThompsonGReb+Ast 9.5+-35074%—-5.0%
Alperen SengunCPts+Reb 24.5+-20663%—-5.8%
Stephon CastleGRebounds 2.5+-77083%—-5.8%
Alperen SengunCPoints 24.5++30623%—-5.9%
Stephon CastleGReb+Ast 9.5+-26068%—-6.2%
Alperen SengunCPts+Ast 29.5++24727%—-6.9%
Alperen SengunCReb+Ast 9.5+-65080%—-7.1%
Victor WembanyamaFRebounds 7.5+-55878%—-7.4%
Kevin DurantFPts+Reb+Ast 34.5+-10648%—-7.5%
Alperen SengunCPts+Reb+Ast 29.5+-20962%—-8.0%
Stephon CastleGThrees 0.5+-37272%—-8.8%
Stephon CastleGPoints 14.5+-20861%—-9.0%
Amen ThompsonGRebounds 7.5+-12951%—-9.2%
Victor WembanyamaFThrees 1.5+-13352%54%-9.6%
Victor WembanyamaFReb+Ast 17.5++29523%—-10.8%
Victor WembanyamaFReb+Ast 9.5+-75078%—-11.0%
Alperen SengunCReb+Ast 11.5+-31067%—-11.3%
Amen ThompsonGReb+Ast 14.5++21028%—-11.9%
Stephon CastleGRebounds 6.5++18930%—-12.7%
Victor WembanyamaFThrees 0.5+-63075%—-12.8%
Amen ThompsonGReb+Ast 11.5+-15052%—-12.9%
Alperen SengunCRebounds 7.5+-25162%—-13.0%
Kevin DurantFPts+Reb 29.5+-12148%—-13.0%
Victor WembanyamaFReb+Ast 11.5+-31066%—-13.3%
Stephon CastleGPts+Reb 19.5+-21759%—-13.3%
Kevin DurantFRebounds 5.5++10243%—-13.4%
Victor WembanyamaFRebounds 9.5+-20558%—-13.6%
Kevin DurantFReb+Ast 9.5+-10544%—-14.0%
Victor WembanyamaFAssists 2.5+-17454%58%-15.3%

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. 12 of the 25 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.