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Tennis Prediction Market Traders
Tennis prediction markets cover Grand Slams, ATP and WTA tour events, match outcomes, and tournament winners across all surfaces. Polymarket and Kalshi each offer tennis contracts, making it easy to find markets on major tournaments year-round. Tennis is uniquely well-suited to quantitative prediction because of its individual nature, surface-specific performance data, and detailed serve/return statistics. This page ranks the top 20 tennis traders by category P&L.
2,856traders ranked
$18,680,997.22total P&L
436,325markets traded
Top Tennis Traders
Ranked by category-specific P&L within tennis markets.
Rank
Trader
Grade
P&L
Win Rate
1
@knedloveprovelo
A70.7
+$493,656.44
75.9%
2
@sovereign2013
S85.0
+$3,375,813.27
56.4%
3
@Donghui
A71.9
+$254,931.92
Recent Tennis Large Trades
The latest high-value trades in tennis prediction markets.
BUYRolex Monte Carlo Masters: Arthur Rinderknech vs Karen Khachanov$11,817
BUYRolex Monte Carlo Masters: Arthur Rinderknech vs Karen Khachanov$16,260
Frequently Asked Questions
Who are the best tennis prediction market traders?
Surface-specific matchup data gives the top tennis traders an edge that casual bettors miss. The best performers build surface-adjusted Elo models and track player form across different tournament conditions. This page ranks them by category-specific P&L across Polymarket and Kalshi.
What data helps predict tennis match outcomes?
Surface-specific win rates, serve statistics (ace rate, first-serve percentage, break point conversion), head-to-head records, recent form, and scheduling fatigue all provide useful signals for tennis prediction markets.
How do different surfaces affect tennis prediction markets?
Surface is one of the most important variables in tennis. Clay-court specialists can be heavy favorites on Roland Garros but underdogs at Wimbledon. Traders who build surface-adjusted rating models can find prices that don't reflect the true probability when the market fails to account for surface effects.
Are Grand Slam prediction markets the most liquid?
Yes, Grand Slam tournaments — Australian Open, Roland Garros, Wimbledon, and the US Open — generate the highest volume in tennis prediction markets. Early-round matches at smaller ATP/WTA events may have limited liquidity.
How does scheduling affect tennis prediction markets?
Tennis scheduling creates unique opportunities. Players competing in back-to-back tournaments or playing late into the previous round may be fatigued. Tracking scheduling patterns and recovery windows can help identify markets where physical readiness is underpriced.
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