81.5 points scored · Los Angeles vs Toronto: Over 1
81.5 points scored is priced at 48¢ on Kalshi. Current book: 48¢ bid, 50¢ ask, 2¢ spread. This outcome ranks #4 of 9 inside Los Angeles vs Toronto: Over 1.
Price history
48¢ current
+1¢Contract brief
If the teams in the Los Angeles vs Toronto women's professional basketball game originally scheduled for Jun 25, 2026 collectively score more than 181.5 points, then the market resolves to Yes.
Outcome
81.5 points scored
Rank
#4 of 9
Leader
72.5 points scored 71¢
Range
18¢-71¢
Family volume
$5K
Identifier
KXWNBATOTAL-26JUN25LATOR-182
Jun 24, 2026, 4:38 PM UTC · 22m ago
Implied probability
Bid
48¢
Ask
50¢
Spread
2¢
24h volume
$868
Family rank
#4 of 9
9 outcomes · Los Angeles vs Toronto: Over 1
Closes
Jul 9, 2026
Family volume
$5K
Orderbook snapshot
48 / 50¢
Contract terms
What resolves this market.
YES condition
If the teams in the Los Angeles vs Toronto women's professional basketball game originally scheduled for Jun 25, 2026 collectively score more than 181.5 points, then the market resolves to Yes.
Venue
Kalshi
Closes
Jul 9, 2026
Identifier
KXWNBATOTAL-26JUN25LATOR-182
Event family
Los Angeles vs Toronto: Over 1.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$5K
Outcomes
9
Highest price
72.5 points scored 71¢
Current share
17%
72.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-173
75.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-176
78.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-179
81.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-182
84.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-185
87.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-188
90.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-191
93.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-194
96.5 points scored
kalshi · KXWNBATOTAL-26JUN25LATOR-197
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
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.
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.
Computing Liquidity Availability Score from the Orderbook
Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.
Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026
Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ
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 48% 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.