SimpleFunctions
7 source contracts·Kalshi 7·refreshed just now·Closes Aug 9, 2026 · 28d

Will Netcompany Ineos win the 2026 Tour de France

Liquidity-weighted aggregate sits at 17% across 7 Kalshi contracts.

Implied probability

17%
0%50%100%

Kalshi

17%

7 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$3K

7 contracts

Closes

Aug 9, 2026

28 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 31% (8 days, 8 points)Aggregate: 31% on 2026-07-11
Aggregate of 7 contracts · 8d

Bracket families

7 clusters across 7 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

Will UAE Team Emirates-XRG win the 2026 Tour de France

1 contract$2K

Cluster 2

Will Lidl-Trek win the 2026 Tour de France

1 contract$908

Cluster 3

Will Team Visma-Lease A Bike win the 2026 Tour de France

1 contract$82

Cluster 4

Will Decathlon CMA CGM win the 2026 Tour de France

1 contract$0

Cluster 5

Will Netcompany Ineos win the 2026 Tour de France

1 contract$0

Cluster 6

Will Pinarello Q36.5 Pro Cycling win the 2026 Tour de France

1 contract$0

Cluster 7

Will Soudal Quick-Step win the 2026 Tour de France

1 contract$0

Analysis

This probability reflects betting market estimates that Netcompany Ineos has approximately a 1-in-5 chance of winning the 2026 Tour de France. The 20% odds position the team as a moderate contender, well behind market favorites like UAE Team Emirates (47%) and Red Bull-BORA-hansgrohe (8%), though the low trading volume on the Netcompany Ineos contract suggests limited liquidity and potentially wide bid-ask spreads. The probability depends on team roster composition, rider form heading into July, and overall competitive dynamics within professional cycling. The market will resolve this through the actual race outcome in approximately three weeks. Key uncertainties include whether Netcompany Ineos fields a competitive Grand Tour leader, how well their domestiques support that leader, and whether injuries or mechanical failures affect their performance relative to rivals during the three-week event.

  • Netcompany Ineos team roster and designated Grand Tour leader for 2026 have not been fully confirmed or publicly analyzed by major cycling media
  • Current market pricing shows 8x higher odds for UAE Team Emirates versus Netcompany Ineos, indicating significant market confidence gaps between the two teams
  • The Netcompany Ineos contract trades at only 5¢ with zero 24-hour volume, suggesting minimal market conviction or liquidity for this specific outcome
  • Historical performance data for Netcompany Ineos in recent Tour de France editions would inform whether 20% represents an overestimate or underestimate of winning probability
  • Team performance in preparatory races and stage races in the months preceding the July 2026 Tour will provide concrete form indicators affecting forecast reliability

What moved the line

  • Jul 7UAE Team Emirates-XRG34pp2357¢ · Kalshi
  • Jul 8UAE Team Emirates-XRG31pp5726¢ · Kalshi
  • Jul 10Lidl-Trek24pp1539¢ · Kalshi
  • Jul 9UAE Team Emirates-XRG21pp2647¢ · Kalshi
  • Jul 8Lidl-Trek20pp626¢ · 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.

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.

Last updated on this page: just now.