SimpleFunctions
20 source contracts·Kalshi 20·refreshed just now·Closes Jul 10, 2026 · 19d

Over 0.5 1H goals scored

Liquidity-weighted aggregate sits at 35% across 20 Kalshi contracts.

Implied probability

35%
0%50%100%

Kalshi

35%

20 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$18K

20 contracts

Closes

Jul 10, 2026

19 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 32% (17 days, 17 points)Aggregate: 32% on 2026-06-21
Aggregate of 20 contracts · 17d

Bracket families

4 clusters across 20 contracts.

These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.

Cluster 1

Over 1.5 1H goals scored

10 contracts$13K

Cluster 2

Over 2.5 1H goals scored

5 contracts$1K

Cluster 3

Over 0.5 1H goals scored

4 contracts$3K

Cluster 4

Over 3.5 1H goals scored

1 contract$1K

Analysis

This market estimates a 30% probability that at least one goal will be scored in the first half of an upcoming match. The relatively low probability suggests expectations of a defensive or low-scoring opening period. Key factors influencing this level include the teams' typical first-half scoring patterns, their current form and attacking capabilities, defensive strength, and any relevant tactical considerations. Market participants appear to distinguish between this outcome and higher-goal scenarios—note the sharp price drop from 63¢ for 0.5+ goals to just 5¢ for 2.5+ goals, indicating substantial consensus that if scoring occurs, it's more likely to be limited. The market will resolve definitively once the first half concludes and official goal tallies are recorded.

  • Difference between 0.5+ goal price (63¢) and 1.5+ goal price (27¢) suggests traders expect either no goals or exactly one goal as most likely outcomes
  • Contract volume concentration ($45-67 24h vol on goal-related markets) indicates active pricing but relatively modest liquidity compared to typical major match markets
  • The teams' recent first-half goal averages and defensive records will materially affect probability—teams averaging fewer than 0.5 goals per half would justify lower prices
  • Match context unknown from provided data (league, teams, importance, conditions) but would typically drive 30% baseline significantly higher or lower
  • Price of 30% implies roughly 1-in-3 chance, consistent with historical data that suggests many matches feature scoreless first halves

What moved the line

  • Jun 15Over 0.5 1H goals scored37pp3875¢ · Kalshi
  • Jun 14Over 0.5 1H goals scored18pp2038¢ · Kalshi
  • Jun 15Over 1.5 1H goals scored8pp2634¢ · Kalshi
  • Jun 15Over 1.5 1H goals scored7pp3138¢ · Kalshi
  • Jun 15Over 0.5 1H goals scored7pp5865¢ · Kalshi

Recently closed in general

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

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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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