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420,368

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Carolina vs Green Bay: Receptions
kalshi

What is the result of Carolina vs Green Bay?

Volume:
$157,526

Tucker Kraft: 3+

 - Kalshi

Tucker Kraft: 3+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 30, 2026

Closed: Oct 29, 10:59 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

Tucker Kraft: 3+

View
100%
16%
Yes 100¢No 0¢
—
N/A
$17,459
N/A
N/A
$17,459
Settled
Yes
kalshi

Matthew Golden: 3+

View
100%
Yes 100¢No 0¢
—
N/A
$13,946
N/A
N/A
$13,946
Settled
Yes
kalshi

Tetairoa McMillan: 3+

View
100%
22%
Yes 100¢No 0¢
—
N/A
$9,658
N/A
N/A
$9,654
Settled
Yes
kalshi

Tetairoa McMillan: 5+

View
100%
35%
Yes 100¢No 0¢
—
N/A
$9,257
N/A
N/A
$9,257
Settled
Yes
kalshi

Christian Watson: 5+

View
100%
46%
Yes 100¢No 0¢
—
N/A
$7,380
N/A
N/A
$7,380
Settled
Yes
kalshi

Christian Watson: 2+

View
100%
10%
Yes 100¢No 0¢
—
N/A
$6,494
N/A
N/A
$6,431
Settled
Yes
kalshi

Josh Jacobs: 3+

View
100%
49%
Yes 100¢No 0¢
—
N/A
$6,399
N/A
N/A
$6,392
Settled
Yes
kalshi

Chuba Hubbard: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$6,259
N/A
N/A
$6,259
Settled
Yes
kalshi

John Metchie III: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$6,187
N/A
N/A
$6,187
Settled
Yes
kalshi

Christian Watson: 3+

View
100%
Yes 100¢No 0¢
—
N/A
$6,047
N/A
N/A
$6,047
Settled
Yes
kalshi

Christian Watson: 4+

View
100%
Yes 100¢No 0¢
—
N/A
$4,553
N/A
N/A
$4,553
Settled
Yes
kalshi

Tetairoa McMillan: 6+

View
100%
53%
Yes 100¢No 0¢
—
N/A
$4,238
N/A
N/A
$4,238
Settled
Yes
kalshi

Tucker Kraft: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$3,830
N/A
N/A
$3,830
Settled
Yes
kalshi

Josh Jacobs: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$3,624
N/A
N/A
$3,624
Settled
Yes
kalshi

Tetairoa McMillan: 4+

View
100%
Yes 100¢No 0¢
—
N/A
$3,514
N/A
N/A
$3,321
Settled
Yes
kalshi

Matthew Golden: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$3,228
N/A
N/A
$3,228
Settled
Yes
kalshi

Tucker Kraft: 4+

View
100%
Yes 100¢No 0¢
—
N/A
$3,158
N/A
N/A
$3,158
Settled
Yes
kalshi

Matthew Golden: 4+

View
100%
Yes 100¢No 0¢
—
N/A
$3,140
N/A
N/A
$3,140
Settled
Yes
kalshi

Christian Watson: 6+

View
100%
Yes 100¢No 0¢
—
N/A
$1,628
N/A
N/A
$1,628
Settled
Yes
kalshi

Tucker Kraft: 5+

View
100%
Yes 100¢No 0¢
—
N/A
$1,460
N/A
N/A
$1,440
Settled
Yes
kalshi

Christian Watson: 7+

View
100%
Yes 100¢No 0¢
—
N/A
$1,338
N/A
N/A
$1,338
Settled
Yes
kalshi

Chuba Hubbard: 4+

View
100%
Yes 100¢No 0¢
—
N/A
$265
N/A
N/A
$265
Settled
Yes
kalshi

Chuba Hubbard: 3+

View
100%
Yes 100¢No 0¢
—
N/A
$157
N/A
N/A
$157
Settled
Yes
kalshi

Matthew Golden: 5+

View
100%
Yes 100¢No 0¢
—
N/A
$141
N/A
N/A
$141
Settled
Yes
kalshi

Brycen Tremayne: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$138
N/A
N/A
$138
Settled
Yes
Total markets: 25 of 99

Description

This event tracks the number of receptions specific players achieve in an upcoming football game between Carolina and Green Bay. The outcome depends on whether designated players meet or exceed specified reception thresholds during the full game, including any overtime periods.

Kalshi

All markets are designated as protected, meaning if a player participates in at least one play during the first half but not after the first half (including overtime), the contract resolves to the fair price prior to kickoff unless the player meets the reception threshold, in which case it settles based on actual statistics. If the player participates in any play after the first half, the contract settles based on actual statistics regardless of first-half participation. Participation in a play nullified by penalty does not count, and a player who never participates is subject to the fair price non-participation rule. The protected designation applies only to full-game contracts with an above or at-least payout criterion, and all events include full game receptions plus overtime.

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. Therefore, you might observe differences in probabilities assigned to various outcomes. It's common to see prediction markets react more quickly to new information and potentially provide more accurate forecasts, especially as the event approaches.

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 probability of that outcome occurring, as perceived by the market participants. As more people buy contracts for a particular outcome, its price increases, and the probability implied by that price goes up. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, meaning prices can fluctuate rapidly in response to news, injuries, or changes in sentiment surrounding the game and its players.

This market resolves around Oct 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final reception totals for players in the Carolina vs Green Bay game will be used to determine the winning contracts. The resolution will be based on official game statistics recorded by the relevant sports league. Traders holding contracts corresponding to the correct outcome will be paid out according to the final market prices at resolution.

Several factors could significantly impact this market. Any news regarding injuries to key wide receivers or tight ends on either the Carolina or Green Bay teams would likely cause price shifts. Changes in weather conditions, particularly if they are expected to affect passing offenses, could also move the market. Unexpected coaching decisions or strategic adjustments announced before the game could influence trader sentiment. Finally, late-breaking news about player matchups or defensive schemes could lead to substantial changes in probabilities as traders react to the latest information.