Tie to win Montreal vs Toronto
Tie is priced at 21¢ on Kalshi. Current book: 22¢ bid, 24¢ ask, 2¢ spread. This outcome ranks #3 of 3 inside Montreal vs Toronto Winner.
Price history
21¢ current
+15¢Contract brief
If Tie is the result of the Montreal vs Toronto professional MLS soccer game originally scheduled for Jul 16, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Outcome
Tie
Rank
#3 of 3
Leader
Montreal 49¢
Range
21¢-49¢
Family volume
$101
Identifier
KXMLSGAME-26JUL16MTLTOR-TIE
Jul 12, 2026, 7:08 PM UTC · 20m ago
Implied probability
Bid
22¢
Ask
24¢
Spread
2¢
24h volume
$0
Family rank
#3 of 3
3 outcomes · Montreal vs Toronto Winner
Closes
Jul 30, 2026
Family volume
$101
Orderbook snapshot
22 / 24¢
Contract terms
What resolves this market.
YES condition
If Tie is the result of the Montreal vs Toronto professional MLS soccer game originally scheduled for Jul 16, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Venue
Kalshi
Closes
Jul 30, 2026
Identifier
KXMLSGAME-26JUL16MTLTOR-TIE
Event family
Montreal vs Toronto Winner.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$101
Outcomes
3
Highest price
Montreal 49¢
Current share
0%
Browse this series
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens
Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 21% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.