SimpleFunctions
20 contractsKalshirefreshed 2 min agoCloses May 23, 2026 · 14d9pp · 47h

Nikola Vučević: 1+ threes

Liquidity-weighted aggregate sits at 31% across 20 Kalshi contracts.

Implied probability

31%
0%50%100%

Kalshi

31%

20 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

−9pp

47h ago

24h volume

$4K

20 contracts

Closes

May 23, 2026

14 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 35% on 2026-05-08
Aggregate of 20 contracts · 1d

Bracket families

10 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.

Heads-up — heterogeneous clusters

The top two clusters share only 0% of their title tokens — “Chet Holmgren” vs “Cade Cunningham”. The headline aggregate weights both, so the number on this page is meaningful only if the clusters resolve to the same question.

Cluster 1

Chet Holmgren

3 contracts$1K

Cluster 2

Cade Cunningham

3 contracts$421

Cluster 3

Duncan Robinson

2 contracts$453

Cluster 4

LeBron James

2 contracts$443

Cluster 5

Austin Reaves

2 contracts$365

Cluster 6

Donovan Mitchell

2 contracts$127

Cluster 7

Tobias Harris

2 contracts$34

Cluster 8

James Harden

2 contracts$29

Cluster 9

Shai Gilgeous-Alexander: 3+ threes: Shai Gilgeous-Alexander: 3+

1 contract$236

Cluster 10

Jaylon Tyson: 2+ threes: Jaylon Tyson: 2+

1 contract$219

Analysis

This contract resolves to yes if Nikola Vučević makes at least one three-pointer in a specified game, with the market currently pricing this outcome at 40%. Vučević's three-point volume and accuracy depend on his role in his team's offensive system, his playing time that night, and defensive adjustments from opponents. Players at his position who see heavy usage sometimes shift toward perimeter shooting as spacing needs evolve, while aging or injury considerations can affect both opportunity and performance. The resolution hinges on the actual game performance on the scheduled date, where factors like opponent defense, Vučević's health status, and his specific role in the team's gameplan directly determine the outcome. Recent form and shooting efficiency trends provide context, but individual game variance remains substantial for shot-making probabilities.

  • Vučević's season three-point attempt rate and whether it has trended higher or lower in recent games
  • His field goal and three-point shooting percentages year-to-date compared to his career norms
  • Expected playing time and role in that specific game based on team rotation patterns and injury status
  • Defensive matchup characteristics of the opposing team, particularly how they defend centers on the perimeter
  • Whether the game context (pace, score differential expectations) typically correlates with higher or lower three-point volume

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: 2 min ago.