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MLB 2026
San Francisco vs Pittsburgh: Home Runs
Final
mlbplayer_prop_home_runsSettled

San Francisco vs Pittsburgh: Home Runs 2026 final odds

Kalshi closed with Rafael Devers at 99.0% versus Esmerlyn Valdez at 42.0%. Final book consensus: Rafael Devers — / Esmerlyn Valdez — / Rafael Flores — / Brandon Lowe — / Oneil Cruz — / Rafael Flores — / Rafael Devers — / Shay Whitcomb — / Spencer Horwitz — / Spencer Horwitz — / Turner Hill — / Turner Hill — / Christian Koss — / Drew Cavanaugh — / Drew Gilbert — / Drew Gilbert — / Esmerlyn Valdez — / Jake Mangum — / Jared Triolo — / Jung Hoo Lee — / Nate Furman — / Nate Furman — / Nick Gonzales — / Shay Whitcomb — / Bryce Eldridge — / Bryce Eldridge — / Bryan Reynolds — / Oneil Cruz — / Brandon Lowe — / Bryan Reynolds —.

Closing prices

SideKalshi closingBooks medianBooks countEdge (books − Kalshi)
Rafael Devers99.0%0
Esmerlyn Valdez42.0%0
Rafael Flores9.0%0
Brandon Lowe8.0%0
Oneil Cruz5.0%0
Rafael Flores4.0%0
Rafael Devers2.0%0
Shay Whitcomb1.0%0
Spencer Horwitz1.0%0
Spencer Horwitz1.0%0
Turner Hill1.0%0
Turner Hill1.0%0
Christian Koss1.0%0
Drew Cavanaugh1.0%0
Drew Gilbert1.0%0
Drew Gilbert1.0%0
Esmerlyn Valdez1.0%0
Jake Mangum1.0%0
Jared Triolo1.0%0
Jung Hoo Lee1.0%0
Nate Furman1.0%0
Nate Furman1.0%0
Nick Gonzales1.0%0
Shay Whitcomb1.0%0
Bryce Eldridge1.0%0
Bryce Eldridge1.0%0
Bryan Reynolds1.0%0
Oneil Cruz1.0%0
Brandon Lowe1.0%0
Bryan Reynolds1.0%0

FAQ

Did Kalshi correctly price San Francisco vs Pittsburgh: Home Runs?
At settlement, Kalshi had Rafael Devers priced at 99.0% (closing implied probability). Compare against the de-vigged book median of — from 0 US sportsbooks.
What was the final book consensus for San Francisco vs Pittsburgh: Home Runs?
Rafael Devers: — median de-vigged across 0 books · Esmerlyn Valdez: — median de-vigged across 0 books · Rafael Flores: — median de-vigged across 0 books · Brandon Lowe: — median de-vigged across 0 books · Oneil Cruz: — median de-vigged across 0 books · Rafael Flores: — median de-vigged across 0 books · Rafael Devers: — median de-vigged across 0 books · Shay Whitcomb: — median de-vigged across 0 books · Spencer Horwitz: — median de-vigged across 0 books · Spencer Horwitz: — median de-vigged across 0 books · Turner Hill: — median de-vigged across 0 books · Turner Hill: — median de-vigged across 0 books · Christian Koss: — median de-vigged across 0 books · Drew Cavanaugh: — median de-vigged across 0 books · Drew Gilbert: — median de-vigged across 0 books · Drew Gilbert: — median de-vigged across 0 books · Esmerlyn Valdez: — median de-vigged across 0 books · Jake Mangum: — median de-vigged across 0 books · Jared Triolo: — median de-vigged across 0 books · Jung Hoo Lee: — median de-vigged across 0 books · Nate Furman: — median de-vigged across 0 books · Nate Furman: — median de-vigged across 0 books · Nick Gonzales: — median de-vigged across 0 books · Shay Whitcomb: — median de-vigged across 0 books · Bryce Eldridge: — median de-vigged across 0 books · Bryce Eldridge: — median de-vigged across 0 books · Bryan Reynolds: — median de-vigged across 0 books · Oneil Cruz: — median de-vigged across 0 books · Brandon Lowe: — median de-vigged across 0 books · Bryan Reynolds: — median de-vigged across 0 books
Where can I find live San Francisco odds?
For current MLB matchups, see the live MLB hub at /sports/mlb, or browse the full 2026 archive at /sports/mlb/2026.

This archive shows the final Kalshi and sportsbook prices captured when the event settled. For methodology see /about/methodology.