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 23, 3:52 PM EST
Kalshi
This event group attempts to aggregate prediction markets on total goals scored in regulation time for a St. Gallen vs SL Benfica Europa League match scheduled for July 23, 2026. However, the source data contains a critical mismatch: Kalshi provides four markets on the St. Gallen vs Benfica match, while Limitless provides a market on an entirely different match (Egnatia Rrogozhinë vs Celje in the Champions League on July 21, 2026). These are fundamentally different sporting events and cannot be unified into a single event group.
Resolution is based on the final goal count in the St. Gallen vs SL Benfica professional Europa League soccer game scheduled for July 23, 2026, measured after 90 minutes plus stoppage time and excluding extra time or penalties. Each market outcome corresponds to a specific goal threshold: over 1.5, over 2.5, over 3.5, or over 4.5 combined goals. A market resolves to Yes if the total goals scored exceed its designated threshold.
This market will resolve to "YES" if the combined total number of goals scored by Egnatia Rrogozhinë and Celje is 3 or higher during regular time (90 minutes plus stoppage time only) in the UEFA Champions League match scheduled for July 21, 2026, 17:00 UTC. Otherwise, this market will resolve to "NO." If the match is canceled after it starts, this market will resolve based on official data recorded up to that point. If the match is canceled entirely before it starts or postponed/rescheduled to a restart date later than September 21, 2026, 23:59 UTC, this market will resolve to "NO."
Prediction markets and traditional sportsbooks price outcomes differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets derive prices from continuous trader participation—supply and demand for each outcome. On prediction platforms, odds shift fluidly as new information emerges and participants adjust positions. Sportsbooks typically adjust lines less frequently and may lag behind market-driven repricing. For this match, comparing prediction market odds to sportsbook spreads can reveal whether professional oddsmakers and decentralized traders agree on goal expectations, or whether one venue perceives edge opportunities the other has missed.
Kalshi and Limitless can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and fee structures, all of which influence price discovery. Kalshi and Limitless may also enforce distinct outcome definitions or settlement windows, leading to subtle differences in how participants interpret the same event. Order flow timing, platform-specific incentives, and variations in user base expertise can cause temporary divergence. Additionally, one venue may receive credible news or analysis before the other, creating a brief arbitrage window. Monitoring both platforms helps you identify mispricings and understand which community is more confident in a particular outcome.
Team news—injuries to key strikers or defensive players, lineup changes, or tactical shifts—can significantly alter goal-scoring expectations. Recent form, head-to-head history, and weather conditions on match day all influence how traders reassess the likelihood of a high or low-scoring contest. Betting market movement at traditional sportsbooks may also cascade into prediction markets as arbitrageurs react to new odds. Pre-match analysis from credible sources, coaching statements, or late-breaking roster updates can trigger sharp repricing. As kickoff approaches, this market typically tightens around a consensus probability, with final volatility driven by any last-minute surprises or contradictory information.