Discovery/sportsopenGenoa: Thiago Seyboth Wild vs Francesco Ferrari

Wild vs. Ferrari: Set 2 Games O/U 10.5

stale dataas of 2.1h agoensemble-v1.2.0late: clob_book, ensemble_forecasts, gamma_events
Market prob.
50.5%
MARKET FACT
Fair est.
MODEL ESTIMATE
Edge est.
MODEL ESTIMATE
Confidence
Liquidity
$0
MARKET FACT
24h volume
MARKET FACT
Resolves
Sep 15, 26

Price history

Market price over time.

0 points
Not enough price history to chart.

Model analysis

No forecast recorded for this market yet. Forecasts are generated for open, tradeable markets above the liquidity threshold.

Order book

No order book captured.

Resolution criteria

Source: https://www.atptour.com/en/scores/current

This market refers to the tennis match between Thiago Seyboth Wild and Francesco Ferrari in the Genoa, originally scheduled for September 8, 2026 at 4:00AM ET. This market will resolve to "Over" if the total number of games completed in set 2 equals or exceeds 11. Otherwise, it will resolve to "Under." Any tiebreak in set 2 counts as one (1) game toward the total. If set 2 begins but is not completed, this market will resolve 50-50, unless the outcome has already been unconditionally determined based on completed play. An outcome is considered determined if it would have been guaranteed had the set been played to completion using the minimum number of additional games required. For example, for a line of 9.5, if play stops with set 2 at 5-4, completing the set would have required at least 1 additional game, resulting in at least 10 games played, so "Over" would resolve as the winning outcome. If the match ends before set 2 is reached, this market will resolve 50-50. If the match is canceled before play begins, or play has not begun by September 22, 2026, 11:59 PM ET (14 days after the scheduled start), this market will also resolve 50-50. Resolution will be based on official Challenger results.

Edgecast provides information and analytics, not financial advice and not a guarantee of outcomes. Figures labelled MODEL are estimates produced by our models and are not objective truth. Prediction markets carry risk of loss.