TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 24, 7:34 PM EST
Kalshi
This market tracks the combined run total scored by Baltimore and Los Angeles Angels in their professional baseball game on June 24, 2026. Bettors can wager on whether the combined score exceeds various thresholds ranging from 3.5 to 13.5 runs.
Resolution is determined by the total runs scored by both Baltimore and Los Angeles Angels combined in the game scheduled for June 24, 2026 at 4:07 PM EDT. Each outcome corresponds to a specific run threshold: the combined score must exceed 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, or 13.5 runs for the respective market to resolve to Yes. The final score includes all runs scored through nine innings or until the game concludes.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than traditional sportsbooks, especially if informed traders spot value or if public perception lags behind sharp analysis. Comparing the two can reveal where consensus differs and highlight potential edges.
On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different run-total outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective willingness of traders to commit capital, with higher prices indicating greater confidence in that outcome. As new information emerges—injuries, weather, lineup changes—traders adjust their positions, and prices move to reflect updated expectations about the total runs scored.
Key catalysts for this market include lineup announcements, starting pitcher confirmations, and injury updates for both teams. Weather forecasts—particularly wind direction and speed—can significantly influence run-scoring expectations. Recent offensive form, bullpen health, and head-to-head matchup history also drive trader positioning. Breaking news about player availability or unexpected roster moves can trigger sharp repricing. As game time approaches, final weather conditions and any last-minute changes will likely prompt final adjustments to the odds.