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Los Angeles R vs Philadelphia: Passing Completions
kalshi

What is the result of Los Angeles R vs Philadelphia?

Volume:
$26,164

Matthew Stafford: 22+

 - Kalshi

Matthew Stafford: 22+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 3:46 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Matthew Stafford: 22+

View
100%
51%
Yes 100¢No 0¢
—
N/A
$3,401
N/A
N/A
$3,257
Settled
Yes
kalshi

Matthew Stafford: 27+

View
100%
74%
Yes 100¢No 0¢
—
N/A
$1,014
N/A
N/A
$781
Settled
Yes
kalshi

Matthew Stafford: 17+

View
100%
19%
Yes 100¢No 0¢
—
N/A
$490
N/A
N/A
$433
Settled
Yes
kalshi

Jalen Hurts: 20+

View
0%
Yes 0¢No 100¢
—
N/A
$19,216
N/A
N/A
$18,254
Settled
No
kalshi

Jalen Hurts: 25+

View
0%
8%
Yes 0¢No 100¢
—
N/A
$1,941
N/A
N/A
$1,707
Settled
No
kalshi

Jalen Hurts: 15+

View
0%
Yes 0¢No 100¢
—
N/A
$101
N/A
N/A
$101
Settled
No
Total markets: 6

Description

These markets track the performance of quarterbacks Jalen Hurts and Matthew Stafford in a specific football game, focusing on how many times they successfully connect with their receivers. The outcomes depend on whether each player meets certain thresholds of completed passes during the match.

Kalshi

All markets resolve based on the number of passing completions achieved by Jalen Hurts or Matthew Stafford in the Los Angeles R vs Philadelphia Professional Football game scheduled for Oct 4, 2026. For any market, if the relevant quarterback is active but does not take a snap, the market settles at the fair market price determined before the game starts. Once a quarterback takes at least one snap—even if that play is nullified by a penalty—the market resolves according to the actual number of passing completions recorded during the game. Each market has a specific threshold (e.g., 15+, 20+, etc.) that determines a 'Yes' resolution; failure to meet the threshold results in a 'No' resolution. These rules apply independently to each market and quarterback, with all outcomes strictly based on in-game performance data.

Frequently asked questions

On Kalshi, the dashboard for the NFL passing completions market tracks the current prices for various outcomes related to the total number of passing completions by the quarterbacks in the Los Angeles R versus Philadelphia game. You’ll find the implied probabilities reflected in the odds, a history of price movements, and the 24-hour trading volume, which is currently $9,097. The total volume traded on this market is $26,164. This allows you to see how traders are assessing the likelihood of different completion totals throughout the trading period.

Typically, prediction market odds reflect the wisdom of the crowd and can differ 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 trade based on their own information and analysis. You may find that this market incorporates information more quickly than sportsbooks, especially as new developments arise. However, it’s also possible for sportsbooks to offer more competitive pricing due to their risk management strategies, so comparing the two can be a useful exercise for informed decision-making.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of passing completions achieved by the quarterbacks in the Los Angeles R versus Philadelphia game will be used to determine the winning contracts. The official game statistics, as reported by a trusted sports data source, will serve as the basis for resolution. Traders will be able to see the final result and any associated payouts following the completion of the game and verification of the official statistics.

Several factors could influence the trading activity in this market. Any news regarding quarterback injuries for either team, changes in weather conditions expected during the game, or adjustments to team strategies could all lead to shifts in the odds. Significant news about the performance of key receivers or the opposing defensive schemes could also impact trader sentiment. Unexpected announcements about player availability or coaching decisions are also likely to move this market as traders react to the new information and adjust their predictions.