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Arizona vs New York G: Rushing Yards Ladder
kalshi

What is the result of Arizona vs New York?

Volume:
$771

Jeremiyah Love

 - Kalshi

Jeremiyah Love - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 4:34 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Jeremiyah Love

View
16%
Yes 15.8¢No 84.3¢
—
N/A
$631
N/A
N/A
$418
Settled
ResolvedResult not available
kalshi

Cam Skattebo

View
14%
Yes 14.5¢No 85.5¢
—
N/A
$140
N/A
N/A
$68
Settled
ResolvedResult not available
Total markets: 2

Description

This event tracks the performance of specific players in an upcoming football game between Arizona and New York. Participants bet on whether the players will meet certain statistical thresholds, with payouts scaling based on actual performance metrics. The structure allows for dynamic returns tied directly to in-game results.

Kalshi

This event features two parallel scalar markets resolving based on rushing yardage totals for Cam Skattebo and Jeremiyah Love in the Arizona vs New York G Pro Football game scheduled for October 4, 2026. Each market operates under identical payout mechanics: Yes contracts pay $0.0025 per rushing yard recorded, capped at $1.00 (equivalent to 400 yards), while No contracts pay $1.00 minus the Yes payout. Payouts are proportional to contract positions, meaning holders of Yes contracts receive increasing returns as yardage increases, while No holders receive decreasing returns. Examples illustrate the linear payout structure—80 yards yields a Yes payout of $0.20 and No of $0.80, 200 yards results in equal $0.50 payouts, and zero yards gives a full $1.00 to No holders. The markets are independent, resolving separately for each player based on their individual performance in the specified game.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of traders, sometimes differing from those offered by sportsbooks. Sportsbooks set initial lines to balance action on both sides, while this market’s prices are driven purely by supply and demand. If a significant number of traders believe a particular outcome is more likely than implied by sportsbook odds, they will buy contracts, driving up the price. This can lead to prediction market prices being more accurate, or at least representing a different perspective on the probabilities than traditional sports betting venues.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different rushing yard outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their positions based on new information and their own analysis, leading to dynamic price changes. The goal is to accurately forecast the final rushing yard totals for both teams in the Arizona vs New York game.

This market resolves around Oct 4, 2026, with the outcome confirmed once the official game statistics are verifiable from credible public reporting. The final rushing yard totals for both Arizona and New York will be used to determine which contracts pay out. The market will settle based on the official statistics released by the governing body of the game, ensuring a transparent and verifiable result. Traders should monitor official sources for the final results to understand the market’s resolution.

Several factors could influence the price of this market before it resolves. News regarding injuries to key running backs on either the Arizona or New York teams would likely cause significant movement. Changes in weather forecasts, particularly if heavy rain or snow is predicted, could also affect the rushing game and therefore the market prices. Additionally, any late-breaking news about team strategies or coaching decisions could impact trader sentiment and lead to price fluctuations in this market.