TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 3, 7:59 PM EST
Polymarket
This market tracks the outcome of the ITF Men's tennis match between Stefan Cooper and Rafael De Alba at the Kayseri tournament. On Polymarket, both "ITF Kayseri: Stefan Cooper vs Rafael De Alba" and "ITF Men Kayseri: Completed Match: Stefan Cooper vs Rafael De Alba" are each priced at 100.0%, reflecting the market's certainty about the event's occurrence. Resolution will be determined by the ITF Tennis official tournament calendar. Watch for the match result on the originally scheduled date of May 27, 2026 at 7:59PM ET to confirm the final outcome.
Prediction market odds on Polymarket often differ from traditional sportsbook odds because they reflect decentralized trader sentiment rather than bookmaker margins and risk management. Sportsbooks adjust lines to balance liability and extract commission, while prediction markets aggregate real-money bets from many participants with direct financial incentives to forecast accurately. For the Stefan Cooper vs Rafael De Alba match, comparing Polymarket probabilities to major sportsbook lines can reveal whether the market consensus leans bullish or bearish on either player relative to conventional betting venues.
The ITF Kayseri: Stefan Cooper vs Rafael De Alba market resolves on Jun 3, 2026, after the match concludes. Resolution is determined by the official result of the tennis match between Stefan Cooper and Rafael De Alba at the ITF Kayseri event. The market will settle based on which player wins the match, with the winning outcome paying out to traders who held the correct shares. Traders should monitor official ITF announcements and match scheduling to ensure they understand the exact timing and any potential postponements.
Several factors could shift odds for Stefan Cooper vs Rafael De Alba before Jun 3, 2026. Player injuries, withdrawals, or illness announcements would trigger sharp repricing. Recent tournament results, head-to-head records, or surface performance data may emerge and influence trader conviction. Court conditions, weather forecasts, or scheduling changes at ITF Kayseri could affect match dynamics. Social media sentiment, coaching changes, or fitness updates about either player might prompt trading activity. Major upsets in related ITF events could also reshape market expectations for this specific matchup as traders reassess player form and confidence.