Minnesota to win Salt Lake vs Minnesota
Minnesota is priced at 22¢ on Kalshi. Current book: 20¢ bid, 21¢ ask, 1¢ spread. This outcome ranks #3 of 3 inside Salt Lake vs Minnesota Winner.
Price history
22¢ current
+4¢Contract brief
If Minnesota wins the Salt Lake vs Minnesota 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
Minnesota
Rank
#3 of 3
Leader
Salt Lake 55¢
Range
20¢-55¢
Family volume
$355
Identifier
KXMLSGAME-26AUG15RSLMIN-MIN
Aug 8, 2026, 8:08 PM UTC · 6m ago
Implied probability
Bid
20¢
Ask
21¢
Spread
1¢
24h volume
$73
Family rank
#3 of 3
3 outcomes · Salt Lake vs Minnesota Winner
Closes
Aug 18, 2026
Family volume
$355
Orderbook snapshot
20 / 21¢
Contract terms
What resolves this market.
YES condition
If Minnesota wins the Salt Lake vs Minnesota 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-26AUG15RSLMIN-MIN
Event family
Salt Lake vs Minnesota Winner.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$355
Outcomes
3
Highest price
Salt Lake 55¢
Current share
21%
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: 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.
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.
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 22% 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.