TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 29, 11:15 PM EST
Kalshi
Byron Buxton's combined performance in the Minnesota vs Houston baseball game on June 29, 2026 will be measured by the sum of hits, runs scored, and RBIs. This composite statistic captures multiple dimensions of offensive contribution.
Settlement is based on Byron Buxton's combined total of hits, runs scored, and RBIs recorded during the game, provided he starts in the lineup and records at least one plate appearance. If Buxton is scratched or not included in the starting lineup, the market resolves to fair market price. If he starts but does not record a plate appearance, the market resolves to fair market price. Pinch-hit appearances do not count toward this event; only at-bats from the starting lineup are considered.
Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are priced by traders expressing genuine beliefs about outcomes. This market aggregates thousands of individual forecasts, which can lead to sharper, more efficient pricing than traditional sportsbooks—especially for niche prop bets like combined offensive statistics. However, sportsbook odds remain useful benchmarks for comparing implied probabilities and identifying where market consensus differs from professional oddsmakers.
On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and asks that determine the real-time probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders profit by correctly predicting whether combined hits, runs, and RBIs will fall above or below the specified threshold, and the market price reflects the consensus forecast at any moment. As new information emerges—injuries, weather, lineup changes—traders adjust their positions, moving the odds. This mechanism ensures prices stay responsive and competitive throughout the event window.
This market resolves around Jun 30, 2026, once the Minnesota-Houston game concludes and final statistics are available. The outcome is determined by the combined total of hits, runs, and RBIs recorded by both teams during the game, verified against credible public sources. Traders holding positions on the correct side of the threshold at resolution receive their payout, while those on the wrong side lose their stake. The exact resolution mechanics are governed by the platform's rules and confirmed once the event result is verifiable.
Key catalysts include roster announcements—star players ruled in or out of the lineup—and weather conditions that affect ball carry and hitting. Pitching matchups matter significantly; dominant starters typically suppress combined offensive output. Recent team performance trends, ballpark factors, and any late-breaking injuries can shift trader sentiment sharply. Pregame commentary from analysts and early betting action at sportsbooks may also influence market prices as traders react to new information. Monitor team news feeds and weather updates closely, as these often trigger the largest price swings in the hours before first pitch.