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Carolina vs Green Bay: Passing Completions
kalshi

What is the result of Carolina vs Green Bay?

Volume:
$129,419

Jordan Love: 22+

 - Kalshi

Jordan Love: 22+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 29, 2026

Closed: Oct 29, 10:30 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

Jordan Love: 22+

View
100%
50%
Yes 100¢No 0¢
—
N/A
$36,679
N/A
N/A
$33,029
Settled
Yes
kalshi

Bryce Young: 22+

View
100%
Yes 100¢No 0¢
—
N/A
$36,306
N/A
N/A
$32,149
Settled
Yes
kalshi

Bryce Young: 17+

View
100%
10%
Yes 100¢No 0¢
—
N/A
$23,008
N/A
N/A
$22,723
Settled
Yes
kalshi

Jordan Love: 17+

View
100%
11%
Yes 100¢No 0¢
—
N/A
$22,284
N/A
N/A
$22,229
Settled
Yes
kalshi

Jordan Love: 27+

View
100%
82%
Yes 100¢No 0¢
—
N/A
$8,028
N/A
N/A
$6,266
Settled
Yes
kalshi

Bryce Young: 27+

View
0%
Yes 0¢No 100¢
—
N/A
$3,114
N/A
N/A
$2,522
Settled
No
Total markets: 6

Description

This event tracks the performance of quarterbacks in a specific football game, focusing on how many times they successfully connect with their receivers. The outcome depends on whether each player meets or exceeds predetermined completion thresholds during the match.

Kalshi

All markets resolve based on the total passing completions recorded by the named quarterback—Jordan Love or Bryce Young—during the Carolina vs Green Bay Professional Football game scheduled for October 29, 2026. For any market, if the specified quarterback is active for the game but does not take a single snap, the market settles at its fair market price determined before the game begins. However, once the quarterback takes at least one snap—regardless of whether that play is nullified by a penalty—the market resolves strictly according to the actual number of passing completions recorded during the game. Each market has a distinct threshold (17+, 22+, or 27+ completions) that determines a 'Yes' resolution; failure to meet the threshold results in a 'No' resolution. These rules apply independently to each quarterback and each threshold, allowing for multiple simultaneous resolutions depending on in-game performance.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. Often, you’ll see prediction markets move faster than sportsbook odds in response to new information, such as injury reports or weather forecasts. However, it’s important to remember that both represent probabilities of an event occurring, and discrepancies can arise due to differing analytical approaches.

On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing different 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. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time assessment of expectations. Essentially, the market 'discovers' the probability through the interaction of buyers and sellers, and the current price represents the best available estimate of the outcome’s likelihood.

This market resolves around Oct 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final number of passing completions by each quarterback in the Carolina vs Green Bay game will be used to determine the winning outcome. The official game statistics, as reported by a recognized sports data provider, will serve as the basis for verification. Traders will be able to see the resolution details on Kalshi once the data is confirmed and the market is settled.

Several factors could influence the trading activity in this market. Any news regarding the starting quarterbacks for either team – injuries, illness, or changes in coaching strategy – would likely cause significant movement. Weather conditions on game day, particularly if they are expected to be unfavorable for passing, could also shift expectations. Unexpected news about key receivers or offensive linemen could also impact the perceived probabilities. Finally, large-volume trades from informed participants could trigger further price adjustments as others react to their actions.