SimpleFunctions

Toronto to win Montreal vs Toronto

Toronto is priced at 27¢ on Kalshi. Current book: 24¢ bid, 27¢ ask, 3¢ spread. This outcome ranks #2 of 3 inside Montreal vs Toronto Winner.

Price history

27¢ current

+23¢
0¢25¢
Jul 9, 2026Jul 12, 2026

Contract brief

If Toronto wins 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

Toronto

Rank

#2 of 3

Leader

Montreal 49¢

Range

21¢-49¢

Family volume

$101

Identifier

KXMLSGAME-26JUL16MTLTOR-TOR

Jul 12, 2026, 7:08 PM UTC · 20m ago

Implied probability

27¢
Latest venue quote
Jul 12, 2026, 7:08 PM UTC · 20m ago

Bid

24¢

Ask

27¢

Spread

24h volume

$17

Family rank

#2 of 3

3 outcomes · Montreal vs Toronto Winner

Closes

Jul 30, 2026

Family volume

$101

Orderbook snapshot

24 / 27¢

Kalshi
3¢ spread
BidSize
24¢1.1K
23¢4.2K
22¢2.9K
21¢100
11¢250
AskSize
27¢276
28¢1.9K
29¢2.0K
30¢2.9K
31¢1.4K

Contract terms

What resolves this market.

YES condition

If Toronto wins 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-TOR

SF Signal
SF Index
3178.68
Regime
neutral

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

17%

Browse this series

MLS Match Winner Markets
Per-series collection — every live contract in the KXMLSGAME series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

6357.4%

IY (No)

634.0%

Adj IY

3179%

CRI

3

Overround

-0.1%

Regime

neutral

Score

0.5

Full indicator table

6357.4%
634.0%
Adj IY
3179%
3
Overround
-0.1%

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Opinioncomparison

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.

Blogmarkets

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.

Opinionanalysis

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.

Technicalguide

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.

Conceptmethodology

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.

Opinionanalysis

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.

Open index

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.