TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Carolina vs Green Bay: Fantasy Ladder
kalshi

What is the result of Carolina vs Green Bay?

Volume:
$5,472

Chuba Hubbard

 - Kalshi

Chuba Hubbard - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 29, 2026

Closed: Oct 29, 11:32 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

Chuba Hubbard

View
25%
Yes 25¢No 75¢
—
N/A
$346
N/A
N/A
$312
Settled
ResolvedResult not available
kalshi

Christian Watson

View
17%
Yes 17¢No 83¢
—
N/A
$3,084
N/A
N/A
$2,801
Settled
ResolvedResult not available
kalshi

Tucker Kraft

View
17%
Yes 17¢No 83¢
—
N/A
$221
N/A
N/A
$221
Settled
ResolvedResult not available
kalshi

Tetairoa McMillan

View
12%
4%
Yes 12¢No 88¢
—
N/A
$1,276
N/A
N/A
$859
Settled
ResolvedResult not available
kalshi

Bryce Young

View
11%
Yes 11¢No 89¢
—
N/A
$545
N/A
N/A
$532
Settled
ResolvedResult not available
Total markets: 5

Description

These markets focus on individual player performance in an upcoming NFL matchup between Carolina and Green Bay. Participants bet on whether specific players will achieve certain fantasy point thresholds, with payouts directly tied to the actual points scored during the game.

Kalshi

Each market determines payouts based on the PPR fantasy points scored by a designated player in the specified NFL game, using Sleeper's official weekly fantasy-point totals. For each player market, Yes contracts pay $0.01 per fantasy point scored, rounded to the nearest cent with half cents rounded up, and capped between $0.00 and $1.00. The No contracts pay $1.00 minus the Yes payout. If a player records negative or no fantasy points, or if Sleeper does not assign a point total for the week, the player is considered to have scored 0.0 points, resulting in a $0.00 payout for Yes and $1.00 for No. Payouts scale proportionally with contract positions, ensuring that participants' returns reflect both their investment size and the player's actual performance in the game.

Frequently asked questions

On Kalshi, the dashboard for the Carolina vs Green Bay game tracks the current odds for various fantasy football outcomes, including the price of contracts predicting which player will achieve the highest fantasy score. You can view the price history of these contracts, allowing you to see how the market has evolved over time. The dashboard also displays the 24-hour trading volume, currently at $5,300, and the total overall volume traded, which is $5,472. This provides insight into market activity and interest in the event.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Therefore, discrepancies can arise due to differing information, biases, or simply the collective intelligence of traders. It’s common to see prediction markets move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts regarding the Carolina vs Green Bay game.

This market resolves around Oct 30, 2026, with the outcome confirmed once the final fantasy football scores for the Carolina vs Green Bay game are verifiable from credible public reporting. The resolution will be based on official fantasy point totals calculated by a major fantasy sports provider. The contract representing the outcome with the highest fantasy score will be considered the winning contract. Traders should monitor official sources for the final results to understand how this market will settle.

Several factors could influence this market before it resolves. Any news regarding injuries to key players on either the Carolina or Green Bay teams would likely cause significant movement. Changes in player matchups or coaching strategies could also shift expectations. Furthermore, unexpected weather conditions during the game could impact player performance and, consequently, the market prices. Finally, general shifts in public opinion or analysis regarding the relative strengths of the teams could also contribute to price fluctuations in this market.