TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 25, 11:58 AM EST
Kalshi
This Scottish League Cup soccer match between Queen's Park and Queen of the South is scheduled for July 25, 2026. Bettors can wager on the margin of victory, predicting whether one team will win by more than specific goal differentials.
Resolution is based on the final goal margin in the Queen's Park vs Queen of the South Scottish League Cup match on July 25, 2026, measured after 90 minutes plus stoppage time (excluding extra time and penalties). Bettors can predict whether Queen's Park wins by more than 1.5 or 2.5 goals, or whether Queen of the South wins by more than 1.5 or 2.5 goals. Each outcome is resolved independently based on the final score differential, with a Yes result only if the specified team achieves the required margin of victory.
Prediction market odds in this market often differ from traditional sportsbook lines due to unique trader dynamics and lower liquidity. While sportsbooks set their lines based on sharp handicappers and volume, prediction markets let participants bet directly on outcomes, which can create sharper or more volatile prices. Traders watch both sides closely, and shifts in public sentiment or new information can move this market quickly, sometimes diverging from sportsbook consensus.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding and asking, with the top outcome’s chance reflected in its current odds. The market uses a logarithmic market scoring rule to incentivize accurate forecasting, rewarding traders who correctly anticipate movements in the spread. As the match unfolds, new data — like injuries or momentum swings — can rapidly shift trader expectations and reshape the odds.
This market resolves around Jul 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread is calculated based on the official match result and point differential, and the market settles accordingly. Traders should monitor reputable sports news sources for confirmed scores and any post-match adjustments that could affect the result.
Injuries to key players, weather conditions, and tactical changes can all shift expectations for the spread. Momentum swings during the match — such as early goals or red cards — often cause rapid adjustments in trader sentiment. Analysts’ live commentary and crowd reactions may also influence this market, especially if they signal a changing balance of power. Any last-minute lineup changes could produce sharp moves as well.