SimpleFunctions
16 source contracts·Kalshi 16·refreshed just now·Closes Jan 7, 2027 · 133d

Rolijah Hardy records the most sacks in the Big Ten

Liquidity-weighted aggregate sits at 13% across 16 Kalshi contracts.

Implied probability

13%
0%50%100%

Kalshi

13%

16 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$176

16 contracts

Closes

Jan 7, 2027

133 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 3% (7 days, 7 points)Aggregate: 3% on 2026-08-27
Aggregate of 16 contracts · 7d

Bracket families

11 clusters across 16 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

Julian Sayin records the most passing

2 contracts$65

Cluster 2

Jayden Maiava records the most passing

2 contracts$12

Cluster 3

Josh Hoover records the most passing

2 contracts$1

Cluster 4

Anthony Colandrea records the most passing

2 contracts$0

Cluster 5

Dante Moore records the most passing

2 contracts$0

Cluster 6

Dylan Lonergan records the most passing yards in the Big Ten: Dylan Lonergan

1 contract$94

Cluster 7

Tanook Hines records the most receiving yards in the Big Ten: Tanook Hines

1 contract$5

Cluster 8

Rocco Becht records the most passing touchdowns in the Big Ten: Rocco Becht

1 contract$0

Cluster 9

Anthony Smith records the most sacks in the Big Ten: Anthony Smith

1 contract$0

Cluster 10

Demond Williams Jr. records the most passing touchdowns in the Big Ten: Demond Williams Jr

1 contract$0

Cluster 11

Malik Washington records the most passing yards in the Big Ten: Malik Washington

1 contract$0

Analysis

This probability indicates a 16% chance that Rolijah Hardy finishes the 2026 Big Ten football season with more sacks than any other player in the conference. The market is pricing in competition from multiple defensive standouts across Big Ten programs. Hardy's probability would move higher if he demonstrates exceptional performance early in the season relative to peers, or lower if other defensive ends or linebacker prospects emerge as more dominant pass rushers. The primary catalyst for resolution will be the conclusion of the regular season in November 2026, when final Big Ten sack statistics can be calculated and compared across all players.

  • Hardy's sack total through the first 4-6 weeks of the season compared to other projected Big Ten defensive leaders
  • Whether Hardy receives consistent playing time and defensive snaps relative to other top pass rushers in the conference
  • The strength of Hardy's team's pass rush scheme and whether it generates favorable opportunities for individual sack accumulation
  • Injury status and availability of other top Big Ten defensive prospects competing for sack leader distinction
  • Conference-wide statistics tracking through mid-season that would indicate relative performance trajectories

What moved the line

  • Aug 24Julian Sayin8pp1422¢ · Kalshi
  • Aug 25Julian Sayin6pp2216¢ · Kalshi
  • Aug 24Josh Hoover3pp69¢ · Kalshi
  • Aug 22Jayden Maiava3pp1411¢ · 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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