TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baltimore vs Buffalo: 1st Quarter Both Teams to Score
kalshi

Will both teams score in the 1st quarter?

Volume:
$2,218

Both teams score

 - Kalshi

Both teams score - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 2:09 PM EST

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Kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both teams score

View
100%
45%
Yes 100¢No 0¢
—
N/A
$2,218
N/A
N/A
$1,535
Settled
Yes
Total markets: 1

Description

This event centers on whether Baltimore and Buffalo each score at least once in the first quarter of their November 1, 2026, game. Any scoring play—whether touchdown, field goal, or safety—is counted. The market’s resolution depends entirely on first-quarter scoring dynamics.

Kalshi

If Baltimore and Buffalo both score points in the 1st quarter of the Baltimore vs Buffalo Pro Football game originally scheduled for Nov 1, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the NFL first quarter scoring market tracks the current price of contracts representing whether both teams will score during the first quarter of the Baltimore versus Buffalo game. You can also view the 24-hour trading volume, which is currently $784, and the total overall volume traded in this market, totaling $1,273. The dashboard provides a visual representation of how traders are pricing the probability of this outcome, offering insight into market sentiment. This allows you to monitor shifts in expectations as new information becomes available.

Generally, prediction market odds often reflect a 'wisdom of the crowd' perspective, potentially differing from sportsbook odds which may be influenced by factors like house bias or promotional offers. Sportsbooks set initial lines to balance betting action, while this market's price is determined solely by supply and demand among traders. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously buying and selling contracts in both venues. However, it’s important to remember that both represent probabilities of the same event occurring, and can converge as the event approaches.

On Kalshi, this market is priced using a continuous double auction. Traders submit buy and sell orders for contracts, and the price fluctuates based on the highest bid and lowest ask. Contracts are priced between 0 and 100, representing the probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective assessment of all participants regarding the likelihood of both teams scoring in the first quarter. Higher demand for 'yes' contracts will drive the price up, indicating increased confidence in that outcome, while increased selling pressure will lower the price.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether both the Baltimore and Buffalo teams have scored at least one point during the first quarter of their game. Official game statistics from a trusted source will be used to determine if both teams met this condition. The market will then settle, and contract holders will receive payouts based on the final outcome.

Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either the Baltimore or Buffalo teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the passing or kicking game, could also shift trader sentiment. Even significant betting patterns observed in traditional sportsbooks might influence activity in this market. Finally, any updates on team strategies or coaching decisions leading up to the game could contribute to price movement.