ATP · June 30, 2026
Best Price
Worst Price
Max Gap
Total Volume
Best: 10.5% on kalshi
Best: 11.5% on kalshi
Best: 11.0% on kalshi
Best: 14.0% on kalshi
Best: 22.0% on kalshi
Best: 28.0% on kalshi
For each outcome, the total fillable capacity if you split across every venue (Polymarket order-book depth + Kalshi order-book depth + Pinnacle / Bet365 / DraftKings stake limits). A whale can't deploy $50k on Polymarket alone without moving the price — but the same $50k splits cleanly across 4 venues at a much tighter aggregate fill price. That's what this panel shows.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| Pablo Llamas Ruiz wins 3-0thin | kalshi | 9.52 | $108 | $1030 |
| Pablo Llamas Ruiz wins 3-1thin |
Capital on each platform stays locked until that market settles. When platforms resolve at different times the earlier one frees up bankroll for the next opportunity.
Wimbledon ATP: Alejandro Davidovich Fokina vs Juan Manuel Cerundolo
Vol: $36K
Wimbledon ATP: Alexander Blockx vs Alexander Zverev
Vol: $127K
ITF Amstelveen: Madelief Hageman vs Daniela Vismane
Vol: $99K
Wimbledon ATP: Andrey Rublev vs Roman Safiullin
Vol: $2.9M
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Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
| kalshi |
| 8.70 |
| $119 |
| $1031 |
| Pablo Llamas Ruiz wins 3-2thin | kalshi | 9.09 | $113 | $1031 |
| Zachary Svajda wins 3-2thin | kalshi | 7.14 | $144 | $1031 |
| Zachary Svajda wins 3-1thin | kalshi | 4.54 | $227 | $1031 |
| Zachary Svajda wins 3-0thin | kalshi | 3.57 | $289 | $1031 |
Stake the listed amount on each outcome at the matching platform. Whichever outcome wins, the payout covers the full bankroll plus the margin shown. Verify prices before placing — odds drift quickly.