TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Toronto vs Baltimore
kalshi

Who will win Toronto vs Baltimore?

Volume:
$3,263,693

Baltimore

 - Kalshi

Baltimore - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 23, 2026

Closed: Sep 23, 4:20 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

Baltimore

View
100%
47%
Yes 100¢No 0¢
100¢
N/A
$1,621,535
N/A
N/A
$1,000,157
Settled
Yes
kalshi

Toronto

0%
48%
Yes 0¢No 100¢
100¢
N/A
$1,642,158
N/A
N/A
$946,214
Settled
No
Total markets: 2

Intro

This market tracks whether Baltimore or Toronto will win their professional baseball game scheduled for September 22, 2026. Currently, Kalshi gives Baltimore an 81.0% probability of winning, while Toronto is at 21.0%. The market will resolve based on the outcome of the game as reported by the official result, with resolution source being confirmation of Toronto or Baltimore winning the originally scheduled game. Keep an eye on the game itself, as the market will resolve to Yes if Toronto wins the Toronto vs Baltimore professional baseball game originally scheduled for Sep 22, 2026 at 6:35 PM EDT.

Kalshi

The market resolves to Yes if the specified team wins the Toronto vs Baltimore professional baseball game originally scheduled for Sep 22, 2026 at 6:35 PM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days. If the game is cancelled or rescheduled to over two days away, the market resolves to a fair price. Kalshi is not affiliated with the Governing League, and all trademarks belong to their respective owners.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. It's common to see discrepancies between the two, especially before significant events or when public sentiment strongly favors a particular outcome. Comparing these odds can provide valuable insights for informed decision-making, though they represent different types of forecasts.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's probability of that outcome occurring. As more traders buy into a particular outcome, its price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity influence the price discovery process, allowing the collective intelligence of traders to determine the most likely result of the MLB game between Toronto and Baltimore.

This market resolves around Sep 23, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the MLB game between Toronto and Baltimore, as reported by official league sources. The market will determine which team won the game, or if the game ended in a tie, based on these official results. Traders will then be paid out or have their funds returned based on whether their predictions aligned with the final outcome.

Several factors could influence this market before resolution. Any news regarding key player injuries, changes in the starting pitchers, or weather forecasts impacting game conditions could significantly shift the odds. Unexpected announcements about team strategies or managerial decisions might also cause movement. Furthermore, large trading volume from informed participants or shifts in public sentiment could drive price changes. Monitoring these signals can help traders assess the evolving probabilities and adjust their positions accordingly.