TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Toronto vs Indiana
kalshi

Toronto vs Indiana

Volume:
$2,980,879

Indiana

 - Kalshi

Indiana - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 17, 2026

Closed: Jun 16, 9:34 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Indiana

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,269,317
N/A
N/A
$853,259
Settled
Yes
kalshi

Toronto

0%
Yes 0¢No 100¢
100¢
N/A
$1,711,563
N/A
N/A
$1,142,963
Settled
No
Total markets: 2

Intro

This market on Kalshi tracks which team will win the Toronto vs Indiana women's professional basketball game. Indiana is priced at 99.0% to win, while Toronto is at 1.0%. The market resolves based on the official result of the game scheduled for June 16, 2026. Watch for the final outcome on June 16, 2026, when the game is played and the winner is determined.

Kalshi

If Indiana wins the Toronto vs Indiana women's professional basketball game originally scheduled for Jun 16, 2026, then the market resolves to Yes. If Toronto wins the Toronto vs Indiana women's professional basketball game originally scheduled for Jun 16, 2026, then the market resolves to Yes.

Frequently asked questions

The Kalshi dashboard for the Toronto vs Indiana matchup displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current market sentiment, 24-hour trading volume, and how odds have shifted since the market opened. The interface lets you track the implied probability of each outcome and review the order book depth to gauge liquidity. This live data helps you understand how the prediction market is pricing the event relative to recent activity and consensus among active traders.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and attract different participant bases. Sportsbooks set odds to balance liability and extract a margin, while prediction markets reflect aggregate trader belief with minimal house intervention. This market's odds may lead or lag sportsbook lines depending on which venue attracts sharper information first. Comparing the two can reveal where smart money is positioning itself and highlight potential value discrepancies between venues.

On Kalshi, this market is priced through an 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 bid-ask spread reflects the current supply and demand balance, and prices update continuously as new orders are placed and filled. Liquidity providers and active traders shape the odds in real time, so prices can shift rapidly in response to breaking news, injury reports, or other relevant information. Your entry and exit prices depend on the depth and tightness of the book at the moment you trade.

This market resolves around Jun 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning outcome will be determined by the final result of the matchup as officially recorded. Until that point, prices will fluctuate based on trader expectations, team news, and any other factors that influence perceived likelihood. Once the event concludes and the result is confirmed, the market will settle and payouts will be distributed accordingly.

Key injury announcements, roster changes, or coaching decisions can trigger sharp price swings in this market. Recent team performance, head-to-head records, and any off-court or off-field developments affecting player availability will influence trader positioning. Line movement at major sportsbooks often precedes prediction market shifts, so monitoring those changes can signal incoming volatility. Weather, venue factors, and late-breaking news closer to game day typically drive the most dramatic repricing as new information becomes public.