SmashLob
Fair tennis win probabilities · SkipOdds Index

Two players. One fair number each.

Bookmaker prices for professional tennis, averaged across the market and stripped of the bookmaker margin — clean win probabilities for every match.

Today's matches   Get the API

WTA Wimbledon · 24 books · margin removed +4.3%

Karolina Muchova 52.1% Coco Gauff 47.9%

Fair probabilities — they sum to exactly 100%.

The board, live

Professional tennis · 24 bookmakers, de-vigged and refreshed continuously

MatchP1P2Favourite
WTA Wimbledon
Karolina Muchova v Coco Gauff
2026-07-09 12:30 UTC
52.1% 47.9%
WTA Wimbledon
Marta Kostyuk v Linda Noskova
2026-07-09 14:30 UTC
54.8% 45.2%
ATP Wimbledon
Jannik Sinner v Novak Djokovic
2026-07-10 09:00 UTC
79.2% 20.8%
ATP Wimbledon
Arthur Fery v Alexander Zverev
2026-07-10 12:30 UTC
15.9% 84.1%

How it works

Bookmaker odds overstate every player — the margin ("vig") is baked in, so the two implied probabilities add up to more than 100%. SmashLob averages the surveyed prices for each player and removes that margin, leaving the SkipOdds Index: the market's honest opinion of the match, two numbers that sum to exactly 100%. No bookmaker names, no betting slips — a forecast, not a tout.

Build with this data

Every number on this page is served by the SkipOdds API — de-vigged probabilities as JSON, from the same engine that powers WunderGoal.

curl "https://skipodds.com/v1/tennis/fixtures?api_key=skipodds-demo-2026"

The demo key serves 100 requests/day. Full reference