TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 11:02 PM EST
Kalshi
This group forecasts the outcome of the Orange County SC vs. Sacramento Republic FC USL Championship soccer game scheduled for September 5, 2026. Markets ask whether Orange County, Sacramento Republic, or a draw will occur within 90 minutes plus stoppage time.
This event is for the upcoming USL Championship game, scheduled for Saturday, September 5, 2026 between Orange County SC and Sacramento Republic FC.
The event determines the winner of the Orange County vs Sacramento Republic USL Championship soccer match scheduled for September 5, 2026, based solely on the result after 90 minutes plus stoppage time. Three possible outcomes are considered: Orange County win, Sacramento Republic win, or a tie. If the match ends in a tie after regulation, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price as per the rules. The markets are independent of any league affiliations, and all trademarks remain property of their respective owners.
Prediction market odds on this market often differ from traditional sportsbook lines because they reflect a decentralized crowd of traders rather than set bookmaker margins. The implied probabilities can appear more volatile, especially with lower volume, and may incorporate unique insights or early reactions to team news. For example, a shift in lineup or weather conditions might move this market more sharply than sportsbook lines, which typically include a built-in edge for the house. Tracking both helps spot potential value gaps.
On Polymarket and Kalshi, pricing can vary due to differences in user base, liquidity, and trading activity. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For instance, one platform might attract more local fans, skewing its odds toward a favored team, while the other could reflect a more global, neutral audience. Volume disparities also play a role—lower trading volume can amplify price swings, making probabilities shift more quickly with each new bet placed on this market.
Injuries, weather updates, or tactical changes announced by coaches can all shift this market close to kickoff. Key moments like a star player being ruled out or a sudden downpour that favors one team’s style may cause rapid probability adjustments. Additionally, early betting trends on either platform can influence prices, especially if volume spikes ahead of major news, making this market responsive to both on-field developments and trader sentiment.