SimpleFunctions

Toronto to win Toronto vs New England

Toronto is priced at 42¢ on Kalshi. Current book: 39¢ bid, 43¢ ask, 4¢ spread. This outcome ranks #1 of 3 inside Toronto vs New England Winner.

Price history

42¢ current

+13¢
30¢40¢
Aug 3, 2026Aug 4, 2026

Contract brief

If Toronto wins the Toronto vs New England professional MLS soccer game originally scheduled for Aug 15, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Outcome

Toronto

Rank

#1 of 3

Leader

Toronto 37¢

Range

25¢-37¢

Family volume

$178

Identifier

KXMLSGAME-26AUG15TORNE-TOR

Aug 4, 2026, 1:38 PM UTC · 15m ago

Implied probability

42¢
Latest venue quote
Aug 4, 2026, 1:38 PM UTC · 15m ago

Bid

39¢

Ask

43¢

Spread

24h volume

$60

Family rank

#1 of 3

3 outcomes · Toronto vs New England Winner

Closes

Aug 18, 2026

Family volume

$178

Orderbook snapshot

39 / 43¢

Kalshi
4¢ spread
BidSize
39¢45
38¢43
37¢189
36¢639
35¢415
AskSize
43¢237
46¢92
47¢1.0K
48¢2.2K
49¢612

Contract terms

What resolves this market.

YES condition

If Toronto wins the Toronto vs New England professional MLS soccer game originally scheduled for Aug 15, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 18, 2026

Identifier

KXMLSGAME-26AUG15TORNE-TOR

SF Signal
SF Index
4359.32
Regime
neutral

Event family

Toronto vs New England Winner.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$178

Outcomes

3

Highest price

Toronto 37¢

Current share

34%

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)

4359.3%

IY (No)

1637.6%

Adj IY

4359%

CRI

2

RV

644%

VR

0.92

Regime

neutral

Score

0.5

Full indicator table

4359.3%
1637.6%
Adj IY
4359%
2
RV
644%
VR
0.92
IAR
1.4/h
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.