| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nuno Borges -3.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Valentin Vacherot -3.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Nuno Borges -5.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Nuno Borges -7.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Valentin Vacherot -1.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Valentin Vacherot -5.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Valentin Vacherot -7.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Nuno Borges -1.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market concerns the game-spread outcome for the tennis match Valentin Vacherot vs Nuno Borges, letting traders take positions on how many games one player wins by. It matters because game-spread markets highlight expectations about match competitiveness and margins, not just the match winner.
Valentin Vacherot and Nuno Borges are touring professionals whose match outcome can be shaped by recent form, fitness, and surface. Historical meetings between them, the tournament level and conditions (court speed, indoor/outdoor) provide useful context when assessing likely game margins. Because this market offers multiple spread outcomes, small shifts in perceived advantage can change which spread is most likely to occur.
Odds in this market represent the collective market view of which game-margin outcomes are most likely; they update as new information (lineups, injuries, weather) becomes available. Interpret odds as a dynamic consensus signal about relative likelihoods of the listed spreads rather than fixed predictions.
This market lists eight distinct game-spread outcomes that specify different margins by which one player can win the match; consult the market page for the precise labels and payout rules for each listed spread.
The market close time is listed as TBD for this event; markets typically close shortly before the match start or when the match begins, so monitor the event page for an official close time and any updates.
Use head-to-head data as one input: consider number of meetings, match scores, and the surface and conditions of those meetings. Small sample sizes or meetings on different surfaces warrant downweighting; emphasize recent, context-matched results.
Injuries, medical timeouts, or withdrawals typically cause rapid market adjustments or a suspension of trading; if a player withdraws before the match, the market will follow platform rules for settlement and may void affected outcomes.
A deciding set increases the total number of games played and thus expands the range of possible spreads—markets will price that increased variance into longer matches, so factors that make a match more likely to extend (e.g., strong servers, few breaks) are material to spread assessments.