Entertainment · December 31, 2027
Best Price
Worst Price
Max Gap
Total Volume
Best: 4.0% on kalshi
Best: 12.0% on kalshi
Best: 4.0% on kalshi
Best: 4.0% on kalshi
Best: 6.0% on kalshi
Best: 5.0% on kalshi
Best: 12.5% on kalshi
Best: 4.0% on kalshi
Best: 3.0% on kalshi
Best: 3.0% on kalshi
Best: 5.0% on kalshi
Best: 4.0% on kalshi
Best: 8.0% on kalshi
Best: 3.0% 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.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| Isabella Rossellinithin | kalshi | 25.00 | $52 | $1290 |
| Sandra Hüllerthin | kalshi | 8.33 | $155 | $1290 |
| Margaret Qualleythin | kalshi | 25.00 | $52 | $1290 |
| Betty Gilpinthin | kalshi | 25.00 | $52 | $1290 |
| Anne Hathawaythin | kalshi | 16.67 | $77 | $1290 |
| Mariana di Girolamothin | kalshi | 20.00 | $65 | $1290 |
| Gemma Chanthin | kalshi | 8.00 | $161 | $1290 |
| Danielle Deadwylerthin | kalshi | 25.00 | $52 | $1290 |
| Penélope Cruzthin | kalshi | 33.33 | $39 | $1290 |
| Zendayathin | kalshi | 33.33 | $39 | $1290 |
| Parker Poseythin | kalshi | 20.00 | $65 | $1290 |
| Tao Okamotothin | kalshi | 25.00 | $52 | $1290 |
| Inde Navarrettethin | kalshi | 12.50 | $103 | $1290 |
| Tiethin | kalshi | 33.33 | $39 | $1290 |
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.