TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
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Chicago vs Atlanta: Touchdowns (Protected)
kalshi

What is the result of Chicago vs Atlanta?

Volume:
$8,129

D'Andre Swift: 1+

 - Kalshi

D'Andre Swift: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 2:07 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

D'Andre Swift: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$2,260
N/A
N/A
$2,260
Settled
Yes
kalshi

Colston Loveland: 1+

100%
66%
Yes 100¢No 0¢
—
N/A
$654
N/A
N/A
$653
Settled
Yes
kalshi

D'Andre Swift: 2+

100%
Yes 100¢No 0¢
—
N/A
$592
N/A
N/A
$592
Settled
Yes
kalshi

Jahan Dotson: 1+

100%
Yes 100¢No 0¢
—
N/A
$548
N/A
N/A
$548
Settled
Yes
kalshi

Roschon Johnson: 1+

100%
Yes 100¢No 0¢
—
N/A
$201
N/A
N/A
$201
Settled
Yes
kalshi

Kyle Pitts Sr.: 2+

100%
Yes 100¢No 0¢
—
N/A
$91
N/A
N/A
$91
Settled
Yes
kalshi

Drake London: 2+

0%
10%
Yes 0¢No 100¢
—
N/A
$958
N/A
N/A
$958
Settled
No
kalshi

Olamide Zaccheaus: 1+

0%
Yes 0¢No 100¢
—
N/A
$652
N/A
N/A
$652
Settled
No
kalshi

Zachariah Branch: 1+

0%
8%
Yes 0¢No 100¢
—
N/A
$604
N/A
N/A
$604
Settled
No
kalshi

Jahan Dotson: 2+

0%
Yes 0¢No 100¢
—
N/A
$279
N/A
N/A
$279
Settled
No
kalshi

Bijan Robinson: 2+

0%
32%
Yes 0¢No 100¢
—
N/A
$243
N/A
N/A
$243
Settled
No
kalshi

Colston Loveland: 2+

0%
Yes 0¢No 100¢
—
N/A
$219
N/A
N/A
$219
Settled
No
kalshi

Kalif Raymond: 1+

0%
Yes 0¢No 100¢
—
N/A
$189
N/A
N/A
$189
Settled
No
kalshi

Bijan Robinson: 3+

0%
2%
Yes 0¢No 100¢
—
N/A
$137
N/A
N/A
$99
Settled
No
kalshi

Drake London: 1+

0%
Yes 0¢No 100¢
—
N/A
$85
N/A
N/A
$85
Settled
No
kalshi

Charlie Woerner: 1+

0%
6%
Yes 0¢No 100¢
—
N/A
$78
N/A
N/A
$78
Settled
No
kalshi

Brian Robinson: 2+

0%
Yes 0¢No 100¢
—
N/A
$75
N/A
N/A
$75
Settled
No
kalshi

Brian Robinson: 1+

0%
Yes 0¢No 100¢
—
N/A
$64
N/A
N/A
$32
Settled
No
kalshi

Drake London: 3+

0%
Yes 0¢No 100¢
—
N/A
$54
N/A
N/A
$54
Settled
No
kalshi

Luther Burden III: 2+

0%
Yes 0¢No 100¢
—
N/A
$53
N/A
N/A
$53
Settled
No
kalshi

Bijan Robinson: 1+

0%
49%
Yes 0¢No 100¢
—
N/A
$31
N/A
N/A
$30
Settled
No
kalshi

Luther Burden III: 1+

0%
Yes 0¢No 100¢
—
N/A
$27
N/A
N/A
$27
Settled
No
kalshi

Caleb Williams: 1+

0%
Yes 0¢No 100¢
—
N/A
$22
N/A
N/A
$22
Settled
No
kalshi

D'Andre Swift: 3+

0%
Yes 0¢No 100¢
—
N/A
$15
N/A
N/A
$15
Settled
No
kalshi

Zachariah Branch: 2+

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 25 of 50

Description

This set of markets focuses on whether specific players or team defense units will score a minimum number of touchdowns in an upcoming football game. Each market tracks individual performance metrics for named players or defensive units, with consistent protective clauses regarding partial game participation.

Kalshi

All markets resolve based on whether specified players or defensive units achieve designated touchdown thresholds during the full game, including overtime. Each contract is designated as protected: if a player participates in at least one play during the first half but none after halftime (including overtime), the contract resolves to the pre-game fair price unless the player meets the touchdown requirement, in which case it settles based on actual statistics. If the player participates in any play after the first half, the contract always settles based on actual statistics, irrespective of first-half involvement. Participation in a play nullified by penalty does not count, and players who never participate are subject to the fair price non-participation rule. The protection mechanism applies exclusively to full-game contracts with 'at least' payout criteria. Passing touchdowns do not count toward player totals, while team defense/special-teams selections are settled purely on actual touchdowns without player participation exceptions.

Frequently asked questions

Generally, prediction market odds tend to reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, but can also be influenced by factors like public betting patterns and risk management. This market, however, allows anyone to participate and express their beliefs, potentially leading to more accurate predictions as more information is incorporated. While sportsbooks may initially have an edge, prediction markets often converge towards the true probability of an event occurring as the event approaches and more traders participate.

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 market’s collective belief about the probability of that outcome occurring. As more people buy a contract, its price increases, indicating a higher perceived chance of success. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what percentage of the event’s total cost is assigned to a specific outcome. This dynamic pricing mechanism allows the market to quickly adapt to new information and changing opinions.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official statistics for the number of touchdowns scored during the Chicago versus Atlanta game. The final outcome will be determined by independent verification of the game results, ensuring a fair and accurate settlement of all contracts. Traders will be able to view the resolution details on Kalshi following the completion of the game and official data release.

Several factors could influence trading activity in this market. Any news regarding key player injuries for either the Chicago or Atlanta teams would likely have a significant impact, as it directly affects their offensive capabilities. Changes in weather forecasts, particularly if severe weather is predicted, could also shift expectations. Furthermore, late-breaking news about coaching strategies or team dynamics could influence how traders assess the likelihood of scoring touchdowns. Overall game analysis and expert predictions published before the game could also move this market.