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 Argonauts vs Saskatchewan Roughriders
kalshi

Toronto Argonauts vs Saskatchewan Roughriders

Volume:
$85,466

Toronto Argonauts

 - Kalshi

Toronto Argonauts - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 27, 2026

Closed: Jun 27, 1:29 AM EST

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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

Toronto Argonauts

View
100%
Yes 100¢No 0¢
100¢
N/A
$45,081
N/A
N/A
$27,036
Settled
Yes
kalshi

Saskatchewan Roughriders

0%
Yes 0¢No 100¢
100¢
N/A
$40,385
N/A
N/A
$21,010
Settled
No
Total markets: 2

Description

This event is a straightforward moneyline bet on the Toronto Argonauts versus Saskatchewan Roughriders CFL football game scheduled for June 26, 2026. Bettors choose which team will win the game outright.

Kalshi

If the Saskatchewan Roughriders win the Toronto Argonauts vs Saskatchewan Roughriders professional CFL football game originally scheduled for Jun 26, 2026, then the market resolves to Yes. If the Toronto Argonauts win the Toronto Argonauts vs Saskatchewan Roughriders professional CFL football game originally scheduled for Jun 26, 2026, then the market resolves to Yes.

Frequently asked questions

The CFL matchup prediction market dashboard on Kalshi tracks real-time odds and trading activity for this matchup between the two teams. You can monitor the current probability implied by trader positions, view the price history as sentiment shifts, and observe 24-hour trading volume to gauge market interest and liquidity. This dashboard provides a live snapshot of how prediction market participants are pricing the outcome, updated continuously as new trades execute. These metrics help you understand both the consensus forecast and the confidence level behind it.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set lines to balance action and manage risk, while prediction markets reflect the aggregated beliefs of traders with real money at stake. This market's odds represent what informed participants genuinely expect to happen, without the margin built into traditional sports betting. Comparing the two can reveal where public perception differs from sportsbook pricing, though both should be viewed as independent forecasts rather than definitive probabilities.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price of each outcome reflects the last executed trade and the standing bids and asks from active participants. As new information emerges or trader sentiment shifts, the price adjusts dynamically. You can enter limit or market orders to position yourself, and the platform matches buyers and sellers in real time, ensuring transparent price discovery throughout the trading window.

This market resolves around Jun 27, 2026, once the game concludes and the result is verifiable from credible public reporting. The outcome will reflect which team wins the matchup. Until that point, prices may fluctuate based on team news, injury updates, betting trends, and other factors that traders believe affect the game's likelihood. Resolution is automatic once the event is finalized, and all positions settle according to the confirmed result.

Several catalysts could shift prices before the game kicks off. Key player injuries or roster changes announced by either team often trigger sharp moves, as do weather forecasts if conditions are expected to be extreme. Betting line movements from major sportsbooks can signal sharp action and influence prediction market traders. Team performance in preceding games, coaching decisions, and public sentiment shifts may also drive trading activity. Breaking news about player availability or team strategy could prompt rapid repricing as new information reaches the market.