TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

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30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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San Francisco vs Los Angeles R: Overtime
kalshi

What is the result of San Francisco vs Los Angeles?

Volume:
$100,010

San Francisco vs Los Angeles R goes to overtime

 - Kalshi

San Francisco vs Los Angeles R goes to overtime - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 11, 2026

Closed: Sep 10, 11:39 PM EST

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

San Francisco vs Los Angeles R goes to overtime

View
0%
5%
Yes 0¢No 100¢
100¢
N/A
$100,010
N/A
N/A
$93,325
Settled
No
Total markets: 1

Description

This market tracks whether the upcoming professional football game between San Francisco and Los Angeles will extend into overtime. Overtime occurs when the game is tied at the end of the fourth quarter, leading to an additional period where teams have another chance to score and potentially win the game.

Kalshi

If the San Francisco vs Los Angeles R Pro Football game originally scheduled for Sep 10, 2026 goes to overtime, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Francisco vs Los Angeles game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing the likelihood of overtime occurring in this matchup. Currently, the total volume traded on Kalshi is $100,010, with $98,478 traded in the last 24 hours. This allows you to see how sentiment is shifting as new information becomes available and how actively this market is being traded by participants.

Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies, particularly before significant events or when public perception clashes with expert analysis. These differences can present opportunities for informed traders who believe the market has mispriced the probability of overtime in the San Francisco vs Los Angeles game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime. The price of a contract reflects the market’s collective belief about the likelihood of the event occurring. As more traders participate, the price adjusts to reflect new information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if more people believe overtime is likely, the price will rise, and vice versa. This dynamic pricing mechanism aims to create a real-time assessment of the event’s probability.

This market resolves around Sep 11, 2026, with the outcome confirmed once the result of the San Francisco vs Los Angeles game is verifiable from credible public reporting. Resolution will be based on whether the game goes into overtime, as determined by official game statistics. The platform will then determine the payout to contract holders based on the final outcome. Traders should monitor official sources for the game result to understand when the market will be settled and how their contracts will be valued.

Several factors could influence the price of this market leading up to Sep 11, 2026. Any news regarding key player injuries for either the San Francisco or Los Angeles team would likely have a significant impact. Changes in team performance, coaching strategies, or even weather conditions could also shift trader sentiment. Unexpected announcements about player availability or significant shifts in public opinion, as reflected in sports news and analysis, are likely to cause price fluctuations in this market. Monitoring these signals can help traders make informed decisions.