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Green Bay vs Minnesota: Receptions
kalshi

What is the result of Green Bay vs Minnesota?

Volume:
$153,256

Justin Jefferson: 8+

 - Kalshi

Justin Jefferson: 8+ - Kalshi

1W

News

Positive

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Neutral

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Vol.

·

Resolved Sep 14, 2026

Closed: Sep 13, 7:51 PM EST

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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

Justin Jefferson: 8+

View
100%
86%
Yes 100¢No 0¢
100¢
N/A
$7,819
N/A
N/A
$7,307
Settled
Yes
kalshi

Josh Oliver: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$7,362
N/A
N/A
$7,295
Settled
Yes
kalshi

Christian Watson: 4+

100%
42%
Yes 100¢No 0¢
100¢
N/A
$6,363
N/A
N/A
$6,323
Settled
Yes
kalshi

Matthew Golden: 4+

100%
54%
Yes 100¢No 0¢
100¢
N/A
$5,589
N/A
N/A
$5,514
Settled
Yes
kalshi

Justin Jefferson: 6+

100%
Yes 100¢No 0¢
100¢
N/A
$4,555
N/A
N/A
$4,153
Settled
Yes
kalshi

Justin Jefferson: 7+

100%
61%
Yes 100¢No 0¢
100¢
N/A
$3,351
N/A
N/A
$2,699
Settled
Yes
kalshi

Matthew Golden: 3+

100%
36%
Yes 100¢No 0¢
100¢
N/A
$2,302
N/A
N/A
$2,241
Settled
Yes
kalshi

Matthew Golden: 5+

100%
77%
Yes 100¢No 0¢
100¢
N/A
$2,146
N/A
N/A
$1,971
Settled
Yes
kalshi

Christian Watson: 5+

100%
61%
Yes 100¢No 0¢
100¢
N/A
$2,113
N/A
N/A
$1,984
Settled
Yes
kalshi

T.J. Hockenson: 4+

100%
60%
Yes 100¢No 0¢
100¢
N/A
$1,684
N/A
N/A
$1,569
Settled
Yes
kalshi

Justin Jefferson: 5+

100%
32%
Yes 100¢No 0¢
100¢
N/A
$969
N/A
N/A
$739
Settled
Yes
kalshi

Matthew Golden: 6+

100%
88%
Yes 100¢No 0¢
100¢
N/A
$958
N/A
N/A
$865
Settled
Yes
kalshi

Christian Watson: 6+

100%
79%
Yes 100¢No 0¢
100¢
N/A
$955
N/A
N/A
$851
Settled
Yes
kalshi

Josh Oliver: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$783
N/A
N/A
$783
Settled
Yes
kalshi

Matthew Golden: 2+

100%
18%
Yes 100¢No 0¢
100¢
N/A
$541
N/A
N/A
$461
Settled
Yes
kalshi

Jayden Reed: 3+

100%
30%
Yes 100¢No 0¢
100¢
N/A
$517
N/A
N/A
$501
Settled
Yes
kalshi

Jayden Reed: 2+

100%
14%
Yes 100¢No 0¢
100¢
N/A
$500
N/A
N/A
$379
Settled
Yes
kalshi

T.J. Hockenson: 3+

100%
35%
Yes 100¢No 0¢
100¢
N/A
$480
N/A
N/A
$385
Settled
Yes
kalshi

Justin Jefferson: 4+

100%
22%
Yes 100¢No 0¢
100¢
N/A
$454
N/A
N/A
$433
Settled
Yes
kalshi

Tucker Kraft: 3+

100%
23%
Yes 100¢No 0¢
100¢
N/A
$447
N/A
N/A
$405
Settled
Yes
kalshi

Christian Watson: 3+

100%
24%
Yes 100¢No 0¢
100¢
N/A
$425
N/A
N/A
$398
Settled
Yes
kalshi

T.J. Hockenson: 2+

100%
20%
Yes 100¢No 0¢
100¢
N/A
$216
N/A
N/A
$166
Settled
Yes
kalshi

Justin Jefferson: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$93
N/A
N/A
$67
Settled
Yes
kalshi

Christian Watson: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$55
N/A
N/A
$54
Settled
Yes
kalshi

Tucker Kraft: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$51
N/A
N/A
$51
Settled
Yes
Total markets: 25 of 80

Description

This market focuses on predicting whether specific players will achieve certain reception thresholds in an upcoming football game. It tracks individual player performance metrics, allowing participants to bet on exact reception counts for key offensive contributors.

Kalshi

All markets resolve based on official game statistics for receptions recorded by specified players during the Green Bay vs Minnesota Pro Football game scheduled for Sep 13, 2026. If a player is active but never takes a snap, the market settles at the fair market price determined before kickoff. Once a player takes at least one snap - even if that snap is nullified by penalty - the market resolves strictly based on actual receptions recorded during the game. All thresholds are inclusive (e.g., '2+' means two or more receptions). Kalshi explicitly disclaims any affiliation with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Packers-Vikings receptions market tracks the current prices for various reception totals, the 24-hour trading volume of $124,311, and the total volume traded to date of $153,256. You can view a price history chart to see how the market has moved over time, giving insight into trader sentiment. This allows you to analyze how predictions are evolving as new information becomes available. The dashboard provides a clear overview of activity within this specific market.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which are set by oddsmakers. Sportsbooks may initially incorporate biases or react quickly to news, while this market tends to aggregate information from a diverse group of traders. Over time, the prices in this market often become more accurate forecasts of the actual outcome, as traders continuously update their beliefs based on new data. However, sportsbook odds can still offer a useful comparison point for understanding public perception.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different possible outcomes for the total receptions in the Packers-Vikings game. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy contracts for a particular outcome, its price increases, and vice versa. This dynamic pricing allows the market to quickly incorporate new information and adjust its predictions accordingly, creating a real-time forecast of the event's outcome.

This market resolves around Sep 14, 2026, with the outcome confirmed once the official statistics for the Green Bay versus Minnesota game are verifiable from credible public reporting. The total number of receptions made by players on both teams will be used to determine the winning contracts. The resolution will be based on data from official sources and will be publicly available. Traders will then be able to claim their winnings or adjust their strategies for future events.

Several factors could influence the price movement in this market. Injury reports for key wide receivers or tight ends on either team would be significant, as would any changes in the projected game plan. Unexpected weather conditions, such as heavy rain or strong winds, could also impact passing game strategies and, therefore, reception totals. Major news regarding team dynamics or coaching decisions could also shift trader sentiment. Any late-breaking information that affects the perceived likelihood of different reception outcomes has the potential to move this market.