SimpleFunctions
6 source contracts·Kalshi 6·refreshed just now·Closes Nov 9, 2026 · 122d

Will Luke Fenhaus be the NASCAR O'Reilly Auto Parts Series Champion

Liquidity-weighted aggregate sits at 13% across 6 Kalshi contracts.

Implied probability

13%
0%50%100%

Kalshi

13%

6 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$448

6 contracts

Closes

Nov 9, 2026

122 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 44% (27 days, 27 points)Aggregate: 44% on 2026-07-09
Aggregate of 6 contracts · 27d

Bracket families

6 clusters across 6 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 Austin Hill be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$375

Cluster 2

Will Justin Allgaier be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$73

Cluster 3

Will Brent Crews be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$0

Cluster 4

Will Corey Day be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$0

Cluster 5

Will Garrett Smithley be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$0

Cluster 6

Will Jeb Burton be the NASCAR O'Reilly Auto Parts Series Champion

1 contract$0

Analysis

Luke Fenhaus has a 9% probability of winning the NASCAR O'Reilly Auto Parts Series championship in 2026, meaning market participants view him as a moderate longshot compared to stronger favorites like Justin Allgaier (33%). The probability reflects expectations based on current performance metrics, season progression, and historical driver competitiveness in the series. Key drivers of this probability include Fenhaus's standing in the points table relative to frontrunners, his recent race results and consistency, and his equipment quality compared to championship-contending teams. The championship will be decided through the full 2026 season schedule, with the final races determining the title. Market odds typically shift following significant events like major race results, injury announcements, team changes, or substantial changes in points positioning. Fenhaus would need to either accumulate wins and consistent top finishes while competitors underperform, or maintain current momentum if he's already performing near market expectations.

  • Fenhaus's current points standing and performance gap relative to Justin Allgaier and other top-probability contenders
  • Recent race results and consistency trends indicating whether his performance is improving or declining through the 2026 season
  • Quality and stability of his team equipment and sponsorship compared to championship-favorite teams
  • Upcoming key races or playoff structure changes that could affect championship odds
  • Historical win-loss records and head-to-head competitiveness data between Fenhaus and current series frontrunners

What moved the line

  • Jul 6Justin Allgaier12pp3042¢ · Kalshi
  • Jul 4Brent Crews6pp126¢ · Kalshi
  • Jul 6Brent Crews4pp610¢ · Kalshi
  • Jul 4Justin Allgaier3pp3330¢ · Kalshi

Recently closed in sports

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.