Toronto Tempo Women's Pro Basketball team win at least 10 games this season
10+ wins is priced at 99¢ on Kalshi. Current book: 90¢ bid, 99¢ ask, 9¢ spread. This outcome ranks #1 of 7 inside Will the Toronto Tempo Women's Pro Basketball team win at least.
Price history
99¢ current
+97¢Contract brief
If the Toronto Tempo Women's Pro Basketball team wins at least 10 games in the 2026 regular season, then the market resolves to Yes.
Outcome
10+ wins
Rank
#1 of 7
Leader
10+ wins 90¢
Range
1¢-90¢
Family volume
$87
Identifier
KXWNBAWINS-26TOR-10
May 24, 2026, 7:38 AM UTC · 12m ago
Implied probability
Bid
90¢
Ask
99¢
Spread
9¢
Reported volume
$359
Family rank
#1 of 7
7 outcomes · Will the Toronto Tempo Women's Pro Basketball team win at least
Closes
Oct 7, 2026
Family volume
$87
Orderbook snapshot
90 / 99¢
Contract terms
What resolves this market.
YES condition
If the Toronto Tempo Women's Pro Basketball team wins at least 10 games in the 2026 regular season, then the market resolves to Yes.
Venue
Kalshi
Closes
Oct 7, 2026
Identifier
KXWNBAWINS-26TOR-10
Event family
Will the Toronto Tempo Women's Pro Basketball team win at least.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$87
Outcomes
7
Highest price
10+ wins 90¢
Current share
0%
10+ wins
kalshi · KXWNBAWINS-26TOR-10
15+ wins
kalshi · KXWNBAWINS-26TOR-15
20+ wins
kalshi · KXWNBAWINS-26TOR-20
25+ wins
kalshi · KXWNBAWINS-26TOR-25
30+ wins
kalshi · KXWNBAWINS-26TOR-30
35+ wins
kalshi · KXWNBAWINS-26TOR-35
40+ wins
kalshi · KXWNBAWINS-26TOR-40
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.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
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.
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.
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.
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 99% 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.