TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Buffalo vs Los Angeles R: 1st Quarter Both Teams to Score
kalshi

Will both teams score in the 1st quarter?

Volume:
$12,868

Both teams score

 - Kalshi

Both teams score - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 12, 2026

Closed: Oct 12, 8:57 PM EST

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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

Both teams score

View
0%
53%
Yes 0¢No 100¢
—
N/A
$12,868
N/A
N/A
$11,123
Settled
No
Total markets: 1

Description

The market resolves based on whether both teams, Buffalo and Los Angeles R, put points on the board in the first quarter of their game on October 12, 2026. All types of scoring plays are considered, and only the first quarter's events determine the outcome.

Kalshi

If Buffalo and Los Angeles R both score points in the 1st quarter of the Buffalo vs Los Angeles R Pro Football game originally scheduled for Oct 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Buffalo vs Los Angeles first quarter market displays the current price, a history of price movements, and the 24-hour trading volume. Currently, the volume is $12,850 and the total volume traded on this market is $12,868. This allows traders to see how confidence in both teams scoring in the first quarter is evolving, and how much activity there has been. The dashboard provides a real-time view of the market's dynamics, helping users make informed decisions about whether to buy or sell.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows individuals to express their own beliefs, which can lead to odds that diverge from traditional sportsbooks, especially as new information emerges. It's common to see prediction markets move faster than sportsbooks in response to breaking news or shifts in public sentiment regarding the likelihood of both teams scoring in the first quarter.

On Kalshi, this market is priced through a continuous double auction, where buyers and sellers set the price based on their expectations. The price represents the probability of the event occurring – in this case, both the Buffalo and Los Angeles teams scoring in the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can buy 'yes' contracts, betting that both teams will score, or sell 'no' contracts, betting they won't. As more traders participate, the price fluctuates, reflecting the evolving consensus. The current price reflects the aggregated beliefs of all participants trading on Kalshi.

This market resolves around Oct 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether both the Buffalo and Los Angeles teams score at least one point each during the first quarter of the game. Official game statistics will be used to determine if both teams met this condition. The market will then settle, and traders will receive payouts based on their positions at the time of resolution. The final result will be based on the official game records.

Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either the Buffalo or Los Angeles teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also move the market. Unexpected announcements about coaching strategies or team lineups might also cause price fluctuations. Finally, general shifts in public sentiment, driven by media coverage or social media discussions, can influence trader behavior and therefore the price of this market.