TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 6:00 PM EST
Kalshi
This group forecasts the outcome of a LigaPro Primera A soccer match between Guayaquil City FC and Libertad Loja, scheduled for November 1, 2026. Markets ask whether either team will win or if the game will end in a draw, resolving based on the official result after 90 minutes plus stoppage time.
In the upcoming LigaPro Primera A game between Guayaquil City FC and Libertad Loja, originally scheduled for Sunday, November 1, 2026 at 4:00 PM ET (as of creation of the first market related to the event):
If Guayaquil City wins the Guayaquil City vs Libertad Loja professional Ecuador LigaPro soccer game originally scheduled for Nov 1, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. If Libertad Loja wins the Guayaquil City vs Libertad Loja professional Ecuador LigaPro soccer game originally scheduled for Nov 1, 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 Guayaquil City vs Libertad Loja professional Ecuador LigaPro soccer game originally scheduled for Nov 1, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
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. Price discrepancies between Polymarket and Kalshi can arise due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information about the Guayaquil City vs. Libertad match. Trading volume can also differ significantly between the two, impacting price discovery. Furthermore, the specific market structures and fee schedules on each platform can influence trading behavior and, consequently, the resulting prices. These factors combine to create distinct market dynamics on each venue.