TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 29, 6:31 PM EST
Kalshi
This market tracks whether CS Cristal will win their soccer match against Club Alianza Lima on October 29, 2026. Currently, the consensus probability of CS Cristal winning is 100.0%, as aggregated from Kalshi and Polymarket. Resolution will be based on official match statistics reported by https://liga1.pe/. Keep an eye on the potential for cancellation, as resolution rules differ between platforms – specifically, Polymarket will resolve to “No” if the game is canceled with no make-up date, while Kalshi does not have an explicit rule for this scenario.
This event is for the upcoming Peru Liga 1 game, scheduled for Thursday, October 29, 2026 between CS Cristal and Club Alianza Lima.
If Sporting Cristal wins the Sporting Cristal vs Alianza Lima professional Peru Liga 1 soccer game originally scheduled for Oct 29, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. If Alianza Lima wins the Sporting Cristal vs Alianza Lima professional Peru Liga 1 soccer game originally scheduled for Oct 29, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. If Tie is the result of the Sporting Cristal vs Alianza Lima professional Peru Liga 1 soccer game originally scheduled for Oct 29, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the wisdom of the crowd. Sportsbooks set lines based on internal models and aim to balance action on both sides, while prediction markets allow anyone to express their belief, creating a more dynamic and potentially accurate assessment of probabilities. This can lead to discrepancies, especially when public sentiment strongly deviates from expert opinion. Furthermore, prediction markets typically have lower transaction costs, attracting more informed traders and contributing to price discovery.