TOTAL VOLUME:
$134b
24H VOL:
$85,014,378
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,695,592
394,774
Markets across
30,069
events
MATCHED EVENTS:
2,615
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 23, 4:01 PM EST
Kalshi
This event group covers the outcome of a Getafe vs Santander soccer match, with markets focused on different aspects of the result including win conditions and spread outcomes.
Markets resolve based on the goal differential if Getafe or Santander wins the professional La Liga soccer game originally scheduled for August 23, 2026, after 90 minutes plus stoppage time. Extra time and penalties are excluded. A market resolves to Yes if Getafe wins by more than 2.5 or 1.5 goals, or if Santander wins by more than 1.5 or 2.5 goals. Kalshi has no official connection to the Governing League, and all trademarks belong to their respective owners.
This market refers to the La Liga match between Getafe (GET) and Racing Santander (SAN), scheduled for 2026-08-23 17:30 UTC. - GET: If Getafe wins, the outcome is settled as "Yes"; otherwise "No". - DRAW: If the match ends in a draw, the outcome is "Yes". - SAN: If Racing Santander wins, the outcome is "Yes"; otherwise "No". Settlement will be based on the result at the end of regular time (90 minutes) plus stoppage time. If the match is postponed, this market will remain open until the match is played and completed. If the game is canceled entirely, with no make-up game, the DRAW option will resolve to "Yes", while both GET and SAN options will resolve to "No". The primary settlement source will be the official result published by La Liga. If the governing body or event organizers have not published the final match statistics within 2 hours after the event's conclusion, a consensus from credible sources may be used instead. Note: Opinion will resolve strictly based on the first officially published result from the designated source. Any subsequent revisions will not affect this resolution. Source: https://www.laliga.com/
On Kalshi and Opinion, pricing models and user bases vary, creating divergence. Kalshi and Opinion can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For this market, differences in how each platform’s community evaluates team form, injury updates, or historical match data can push probabilities apart. Also, liquidity levels and fee structures influence where prices settle, meaning even small shifts in trader sentiment on one venue may not match the other’s outlook.