TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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New York J vs Chicago: Fantasy Points
kalshi

What is the result of New York J vs Chicago?

Volume:
$8,320

Kyle Monangai: Over 9.1

 - Kalshi

Kyle Monangai: Over 9.1 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 4:14 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

Kyle Monangai: Over 9.1

View
100%
53%
Yes 100¢No 0¢
—
N/A
$1,353
N/A
N/A
$1,353
Settled
Yes
kalshi

Rome Odunze: Over 8.5

100%
Yes 100¢No 0¢
—
N/A
$868
N/A
N/A
$868
Settled
Yes
kalshi

Colston Loveland: Over 10.3

100%
62%
Yes 100¢No 0¢
—
N/A
$559
N/A
N/A
$556
Settled
Yes
kalshi

Cairo Santos: Over 8

100%
59%
Yes 100¢No 0¢
—
N/A
$359
N/A
N/A
$338
Settled
Yes
kalshi

NY Jets D/ST: Over 5.5

100%
Yes 100¢No 0¢
—
N/A
$1
N/A
N/A
$1
Settled
Yes
kalshi

Braelon Allen: Over 13.2

0%
46%
Yes 0¢No 100¢
—
N/A
$1,688
N/A
N/A
$1,688
Settled
No
kalshi

Luther Burden III: Over 12.6

0%
42%
Yes 0¢No 100¢
—
N/A
$1,108
N/A
N/A
$907
Settled
No
kalshi

Case Keenum: Over 14.5

0%
2%
Yes 0¢No 100¢
—
N/A
$849
N/A
N/A
$839
Settled
No
kalshi

Kalif Raymond: Over 10.1

0%
31%
Yes 0¢No 100¢
—
N/A
$563
N/A
N/A
$563
Settled
No
kalshi

Garrett Wilson: Over 19.1

0%
39%
Yes 0¢No 100¢
—
N/A
$407
N/A
N/A
$407
Settled
No
kalshi

D'Andre Swift: Over 16.6

0%
36%
Yes 0¢No 100¢
—
N/A
$307
N/A
N/A
$307
Settled
No
kalshi

Geno Smith: Over 15

0%
45%
Yes 0¢No 100¢
—
N/A
$255
N/A
N/A
$234
Settled
No
kalshi

Jason Sanders: Over 6.5

0%
Yes 0¢No 100¢
—
N/A
$3
N/A
N/A
$3
Settled
No
kalshi

CHI Bears D/ST: Over 8.6

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 14

Description

This set of markets evaluates individual player and team defensive performances in an upcoming football game, focusing on whether specified athletes or units achieve certain fantasy point thresholds. The outcomes depend on detailed statistical contributions, including offensive plays, defensive actions, and special teams plays, all measured against predefined benchmarks.

Kalshi

These markets resolve based on fantasy points accumulated by individual players and team defense/special teams units in the specified football game, using Sleeper’s default full-PPR scoring system. For any player or D/ST market, if the designated participant records more fantasy points than the stated threshold during the full game—including overtime—the market resolves to Yes; otherwise, it resolves to No. Players or units that do not participate, or who are not assigned a fantasy-point value by Sleeper, are considered to have scored zero points. The official fantasy-point total published by Sleeper at the time of market expiration is used for resolution, with no rounding applied and no adjustments for post-expiration corrections. The scoring system awards points for various in-game activities: passing, rushing, and receiving yards and touchdowns; interceptions, two-point conversions, and fumbles; kicking field goals and extra points; and defensive/special teams actions such as touchdowns, sacks, interceptions, fumble recoveries, safeties, and blocked kicks. Additionally, defensive/special teams units receive points based on the number of points they allow in the game. All markets are independent, and each resolves solely based on the corresponding participant’s performance against their specific threshold.

Frequently asked questions

On Kalshi, the dashboard for the New York vs Chicago fantasy points market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $6,037 and the total volume traded to date is $8,320. You can see how the price of a 'yes' outcome has fluctuated over time, providing insight into how traders are evaluating the potential for one team to score more fantasy points than the other. The dashboard provides a real-time view of market sentiment and activity related to this specific contest.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of many individual traders. As a result, you may find that the implied probabilities in this market diverge from those offered by sportsbooks, particularly as new information emerges or public opinion shifts. Polls and analysts’ predictions can also differ, as they represent individual assessments rather than a collective forecast. This market provides a unique perspective on the likely outcome.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing the likelihood of a particular outcome, and the price fluctuates based on supply and demand. The price of a contract represents the probability of that outcome occurring, scaled to a value between 0 and 100. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe an outcome is likely, the higher the price will rise, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the collective intelligence of the crowd.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The total fantasy points scored by each team in the New York vs Chicago game will be tallied from official sources, and the team with the higher score determines the outcome of this market. The resolution will be based on the official statistics released after the game concludes, ensuring a transparent and verifiable result. Traders will then be able to claim their winnings or adjust their positions accordingly.

Several factors could influence trading activity in this market. News regarding player injuries, changes in team lineups, or weather forecasts could all significantly impact the perceived likelihood of either team scoring more fantasy points. Unexpected performance from key players in recent games or shifts in coaching strategies could also move the market. Even public sentiment, as reflected in social media or expert analysis, can play a role in shaping trader expectations and driving price fluctuations. Any developments that alter the anticipated game dynamics have the potential to shift the odds.