Entertainment · December 31, 2027
Best Price
Worst Price
Max Gap
Total Volume
Best: 7.5% on kalshi
Best: 11.0% on kalshi
Best: 5.0% on kalshi
Best: 4.0% on kalshi
Best: 5.0% on kalshi
Best: 33.0% on kalshi
Best: 6.5% on kalshi
Best: 7.5% on kalshi
Best: 4.0% on kalshi
Best: 1.0% on kalshi
Best: 9.0% on kalshi
Best: 3.0% on kalshi
Best: 2.0% 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.
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.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| Phil Lord & Christopher Millerthin | kalshi | 13.33 | $76 | $1015 |
| Martin McDonaghthin | kalshi | 9.09 | $112 | $1015 |
| Danny Boylethin | kalshi | 20.00 | $51 | $1016 |
| Na Hong-jinthin | kalshi | 25.00 | $41 | $1015 |
| Andrew Haighthin | kalshi | 20.00 | $51 | $1016 |
| Christopher Nolanthin | kalshi | 3.03 | $335 | $1015 |
| Steven Spielbergthin | kalshi | 15.38 | $66 | $1015 |
| David Fincherthin | kalshi | 13.33 | $76 | $1015 |
| Joel Coenthin | kalshi | 25.00 | $41 | $1015 |
| Tiethin | kalshi | 100.00 | $10 | $1020 |
| Alejandro G. Iñárrituthin | kalshi | 11.11 | $91 | $1016 |
| Janus Metz Pedersen thin | kalshi | 33.33 | $31 | $1017 |
| Ben Affleckthin | kalshi | 50.00 | $20 | $1015 |
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.