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: Aug 22, 10:06 AM EST
Kalshi
This event group covers various betting markets for the upcoming League One soccer match between Notts County FC and Burton Albion FC, focusing on total corners taken during the game, split into overall, halves, and team-specific metrics, as well as odd/even and first corner taker.
Total corners markets for the League One game between Notts County FC and Burton Albion FC, scheduled for August 29, 2026 at 10:00 AM ET.
The event resolves based on the full-time result of the Luton vs Notts professional EFL League One soccer match scheduled for August 22, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs for the respective market if the designated team wins the match within regular time; otherwise, the 'Tie' market resolves to 'Yes' if the game ends level. Should the match be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following Kalshi's standard procedures. The event explicitly excludes extra time and penalty shootout results from consideration.
On Polymarket, this market reflects trader sentiment through aggregated bets, often showing sharper or more volatile pricing than traditional sportsbooks. Sportsbook odds incorporate additional factors such as broker margins and broader public betting patterns, which can smooth out extremes. Prediction markets may therefore present higher or lower implied probabilities depending on recent trading activity and volume of $41,325. The difference provides a useful contrast for evaluating expected outcomes in the Notts County vs. Burton corners market.
On Polymarket and Kalshi, pricing can vary due to differences in user bases, liquidity, and market design. 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 example, one platform might attract more professional traders while the other draws casual fans, skewing probabilities. Volume disparities — such as $41,325 on one versus $39,935 on another — amplify these effects. Additionally, each venue sets its own fee structure, influencing how traders hedge and thus shape prices in this market.