Entertainment · December 31, 2027
Best Price
Worst Price
Max Gap
Total Volume
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 13.5% on kalshi
Best: 13.5% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 13.5% on kalshi
Best: 3.0% on kalshi
Best: 2.5% 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.
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.
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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.
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.
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.
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.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| John Goodmanthin | kalshi | 33.33 | $34 | $1137 |
| Channing Tatumthin | kalshi | 33.33 | $34 | $1137 |
| Colman Domingothin | kalshi | 33.33 | $34 | $1137 |
| Charles Meltonthin | kalshi | 33.33 | $34 | $1137 |
| Miles Tellerthin | kalshi | 33.33 | $34 | $1137 |
| Jesse Plemonsthin | kalshi | 33.33 | $34 | $1137 |
| Tom Hollandthin | kalshi | 33.33 | $34 | $1137 |
| Jacques Berman Webster II (Travis Scott)thin | kalshi | 33.33 | $34 | $1137 |
| Michael Fassbenderthin | kalshi | 33.33 | $34 | $1137 |
| Steve Buscemithin | kalshi | 33.33 | $34 | $1137 |
| Paul Giamattithin | kalshi | 33.33 | $34 | $1137 |
| Sam Rockwellthin | kalshi | 7.41 | $153 | $1136 |
| Jeremy Strongthin | kalshi | 7.41 | $153 | $1136 |
| Riz Ahmedthin | kalshi | 33.33 | $34 | $1137 |
| Robert Pattinsonthin | kalshi | 33.33 | $34 | $1137 |
| Daniel Craigthin | kalshi | 33.33 | $34 | $1137 |
| Robert De Nirothin | kalshi | 7.41 | $153 | $1136 |
| Adam Scottthin | kalshi | 33.33 | $34 | $1137 |
| Tiethin | kalshi | 40.00 | $28 | $1136 |
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.