SimpleFunctions

Sydney Swans to win Adelaide Crows vs Sydney Swans

Sydney Swans is priced at 65¢ on Kalshi. Current book: 63¢ bid, 64¢ ask, 1¢ spread. This outcome ranks #1 of 2 inside Adelaide Crows vs Sydney Swans winner.

Price history

65¢ current

+59¢
0¢25¢50¢75¢
Jul 11, 2026Jul 14, 2026

Contract brief

If Sydney Swans wins the Adelaide Crows vs Sydney Swans professional AFL game originally scheduled for Jul 17, 2026, then the market resolves to Yes.

Outcome

Sydney Swans

Rank

#1 of 2

Leader

Sydney Swans 63¢

Range

35¢-63¢

Family volume

$13

Identifier

KXAFLGAME-26JUL170540ADESYD-SYD

Jul 14, 2026, 7:38 AM UTC · 5m ago

Implied probability

65¢
Latest venue quote
Jul 14, 2026, 7:38 AM UTC · 5m ago

Bid

63¢

Ask

64¢

Spread

Reported volume

$3

Family rank

#1 of 2

2 outcomes · Adelaide Crows vs Sydney Swans winner

Closes

Jul 31, 2026

Family volume

$13

Orderbook snapshot

63 / 64¢

Kalshi
1¢ spread
BidSize
63¢1.5K
61¢1.5K
54¢1.1K
53¢357
47¢2
AskSize
64¢1.4K
65¢2.1K
66¢319
67¢1.6K
68¢825

Contract terms

What resolves this market.

YES condition

If Sydney Swans wins the Adelaide Crows vs Sydney Swans professional AFL game originally scheduled for Jul 17, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 31, 2026

Identifier

KXAFLGAME-26JUL170540ADESYD-SYD

SF Signal
SF Index
3637.83
Regime
neutral

Event family

Adelaide Crows vs Sydney Swans winner.

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

Total volume

$13

Outcomes

2

Highest price

Sydney Swans 63¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

1254.8%

IY (No)

3637.8%

Adj IY

3638%

CRI

2

RV

287%

VR

0.79

Regime

neutral

Score

0.5

Full indicator table

1254.8%
3637.8%
Adj IY
3638%
2
RV
287%
VR
0.79
IAR
1.6/h

Odds pages

Related prediction questions

Browse odds

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.

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.

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.

Blogmarkets

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.

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.

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.