SimpleFunctions
2 source contracts·Kalshi 2·refreshed just now·Closes Jun 12, 2026 · 14d

Will Oklahoma City record more bench points than San Antonio

Liquidity-weighted aggregate sits at 43% across 2 Kalshi contracts.

Implied probability

43%
0%50%100%

Kalshi

43%

2 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$1K

2 contracts

Closes

Jun 12, 2026

14 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 47% (4 days, 4 points)Aggregate: 47% on 2026-05-28
Aggregate of 2 contracts · 4d

Bracket families

2 clusters across 2 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 Oklahoma City record more bench points than San Antonio

1 contract$937

Cluster 2

Will San Antonio record more bench points than Oklahoma City

1 contract$475

Analysis

This probability reflects whether Oklahoma City's bench players will outscore San Antonio's bench players in their next matchup. The 51% odds indicate a near-even split between the two teams' bench scoring potential. Bench scoring efficiency depends on roster composition, player health, and how much each team relies on reserves due to injury or load management. The Thunder have generally prioritized depth and rotation flexibility, while the Spurs operate under different personnel constraints. The resolution will depend on actual game statistics from their next scheduled contest, making recent bench performance data and current injury reports primary drivers of market prices. Trading volume concentrates around the 61-63¢ price point, suggesting moderate confidence in Oklahoma City's advantage but meaningful uncertainty about the outcome.

  • Oklahoma City bench scoring average over their last 10 games vs. San Antonio's bench scoring average over the same period
  • Current roster availability and injuries affecting both teams' depth rotation options
  • Percentage of total points each team typically sources from bench players (bench scoring rate)
  • Head-to-head bench scoring history if teams have recently played
  • Scheduled game date and whether back-to-backs or rest patterns affect bench playing time allocation

What moved the line

  • May 26Oklahoma City records more bench points than San Antonio46pp1056¢ · Kalshi
  • May 26San Antonio records more bench points than Oklahoma City25pp1035¢ · Kalshi
  • May 28Oklahoma City records more bench points than San Antonio7pp5865¢ · Kalshi
  • May 28San Antonio records more bench points than Oklahoma City4pp3228¢ · Kalshi
  • May 27San Antonio records more bench points than Oklahoma City3pp3532¢ · 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.

Lateral coverage

Thin contract — here's where the deeper coverage is.

This page aggregates 2 contracts (43% headline). At low contract count, the price reflects two participants’ opinions, not a market consensus. The links below are heavier related questions where the orderbook signal is real.

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.