SimpleFunctions
Winner-take-all · 3 outcomes3 contractsPolymarketrefreshed just nowCloses May 6, 2026 · 2d3pp · 14h

Avispa Fukuoka vs. Kyōto Sanga FC

Leader sits at 40% across 3 bound outcomes, runner-up at 32%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.

Leader probability

40%

Kyōto Sanga FC

runner-up 32¢leader 40¢

Outcomes

3

winner-take-all

Runner-up

32¢

Avispa Fukuoka

Spread

8pp

contested

24h volume

$0

thin orderbook

Closes

May 6, 2026

2 days

Venue

Polymarket

3 bound

30-day trend

0%50%100%-30d-3w-2w-1wtodayKyōto Sanga FC: 36% (3 days, 3 points)Kyōto Sanga FC: 36% on 2026-05-03Avispa Fukuoka: 41% (3 days, 3 points)Avispa Fukuoka: 41% on 2026-05-03Draw (Avispa Fukuoka vs. Kyōto Sanga FC): 32% (3 days, 3 points)Draw (Avispa Fukuoka vs. Kyōto Sanga FC): 32% on 2026-05-03
Kyōto Sanga FC36¢Avispa Fukuoka41¢Draw (Avispa Fukuoka vs. Kyōto Sanga FC)32¢
Top 3 candidates by current price · 3d

Bracket family

How the bracket ladder is priced.

Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.

Analysis

This 37% probability represents the estimated likelihood that Avispa Fukuoka will defeat Kyōto Sanga FC in an upcoming J-League match. The aggregate probability sits between Kalshi's 30% and Polymarket's 40%, suggesting moderate disagreement across venues about Fukuoka's chances. The probability reflects typical factors in soccer prediction: recent team form, head-to-head records, home-field advantage, and current league standings. The match itself will definitively resolve this uncertainty once played. Bettors appear to view Kyōto as a slight favorite, though the 10-percentage-point gap between venues indicates uncertainty remains about Fukuoka's true win probability.

  • Kalshi's 30% implies stronger confidence in Kyōto; Polymarket's 40% suggests moderately closer odds, indicating real disagreement on team strength
  • Fukuoka's recent form and win-loss record relative to Kyōto in their last 5-10 matches would be the primary driver of any update
  • Home-field status and venue location matter significantly in J-League outcomes; the match location determines a structural advantage
  • League table positions and current season performance gaps between the teams establish baseline competitive context
  • Head-to-head historical win rates between Avispa and Kyōto provide statistical anchoring for probability calibration

Recently closed in general

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

More like this

Adjacent prediction questions.

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.

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