TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 16, 12:40 AM EST
Kalshi
Jacob Wilson and Nick Kurtz will be tracked for combined offensive production in the Pittsburgh vs Oakland Athletics game on June 15, 2026. This metric combines hits, runs scored, and runs batted in into a single cumulative statistic.
Settlement is based on the combined total of hits, runs, and RBIs recorded by each player during the game. Players must be in the starting lineup and record at least one plate appearance for the market to settle on actual performance; if a player is scratched, not in the starting lineup, or does not record a plate appearance, the market resolves to fair market price. Pinch-hit appearances do not count toward this market.
Prediction market odds on this contract reflect real-time trader consensus rather than sportsbook pricing models. While sportsbooks set lines based on sharp action and risk management, prediction markets aggregate dispersed information from many participants with direct financial incentive to forecast accurately. This market's odds may diverge from traditional sportsbook lines because traders are pricing the specific combined-stats outcome independently, without the same margin or liability constraints. Comparing the two can reveal where public perception and market-derived probability diverge.
This market resolves around Jun 16, 2026, once the Pirates-Athletics game concludes and final statistics are available. The outcome is determined by verifying the combined hits, runs, and RBIs recorded by both teams against credible public sources. Traders who correctly predicted whether the combined total would exceed or fall short of the specified threshold receive their payout, while those on the losing side forfeit their stake. Resolution timing depends on official game completion and stat confirmation.
Key catalysts include lineup announcements, starting pitcher confirmations, and injury updates for both teams, all of which affect offensive potential. Early-game performance—particularly the first few innings—often triggers sharp repricing as traders update their models based on actual run production and hit rates. Weather conditions, ballpark factors, and bullpen availability can also shift expectations around total offensive output. Breaking news on player availability or unexpected roster moves typically generates immediate volume spikes and price movement in this market.