TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 4:34 PM EST
Kalshi
Jaylen Warren's rushing output in the Cleveland vs Pittsburgh game determines payouts here. The structure rewards higher yardage with increased Yes payouts up to $1.00.
Contracts pay based on rushing yards recorded by specified players in designated NFL games. Yes contracts earn $0.0025 per yard up to $1.00 maximum, while No contracts receive $1.00 minus the Yes payout. Payouts are scalar and capped at 400 yards, with examples provided for different yard thresholds.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy contracts for a particular outcome, the price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit when their predictions are correct. This dynamic pricing mechanism aims to create a market that accurately reflects the collective intelligence of participants.
This market resolves around Nov 2, 2026, with the outcome confirmed once the official rushing yard totals for the game are verifiable from credible public reporting. The resolution will be based on the official statistics released by the NFL following the completion of the game between Baltimore and Buffalo. Any adjustments or corrections made by the NFL to the official statistics will be reflected in the final resolution. The market will determine which rushing yard ladder outcome was achieved based on these official figures.
Several factors could significantly impact this market. Injury reports for key running backs on either team are major catalysts. News regarding weather conditions, particularly if inclement weather is forecast, could shift expectations about running play frequency. Changes in coaching strategies or offensive line performance could also influence the market. Finally, any significant news or analysis regarding the matchup, such as expert predictions or shifts in betting lines at sportsbooks, could drive trading activity and alter the probabilities reflected in this market.