SimpleFunctions

Rob Colon + Lamar Peters win the Off The Dribble tag team 1v1 between Zae + Uncle Skoob and Rob Colon + Lamar Peters

Rob Colon + Lamar Peters is priced at 56¢ on Kalshi. Current book: 48¢ bid, 55¢ ask, 7¢ spread. This outcome ranks #1 of 2 inside KXOTDBASKETBALL-26MAY30ROLAZAUN.

Price history

56¢ current

+11¢
0¢25¢50¢
May 15, 2026May 28, 2026

Contract brief

If Rob Colon + Lamar Peters wins the Off The Dribble tag team 1v1 matchup between Zae + Uncle Skoob and Rob Colon + Lamar Peters originally scheduled for May 30, 2026, then the market resolves to Yes.

Outcome

Rob Colon + Lamar Peters

Rank

#1 of 2

Leader

Rob Colon + Lamar Peters 48¢

Range

44¢-48¢

Family volume

$0

Identifier

KXOTDBASKETBALL-26MAY30ROLAZAUN-ROLA

May 28, 2026, 10:38 PM UTC · 10m ago

Implied probability

56¢
Latest venue quote
May 28, 2026, 10:38 PM UTC · 10m ago

Bid

48¢

Ask

55¢

Spread

Reported volume

$111

Family rank

#1 of 2

2 outcomes · KXOTDBASKETBALL-26MAY30ROLAZAUN

Closes

Jun 14, 2026

Family volume

$0

Orderbook snapshot

48 / 55¢

Kalshi
7¢ spread
BidSize
48¢150
47¢300
46¢200
45¢100
10¢1.9K
AskSize
55¢2
56¢123
57¢150
59¢300
81¢757

Contract terms

What resolves this market.

YES condition

If Rob Colon + Lamar Peters wins the Off The Dribble tag team 1v1 matchup between Zae + Uncle Skoob and Rob Colon + Lamar Peters originally scheduled for May 30, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 14, 2026

Identifier

KXOTDBASKETBALL-26MAY30ROLAZAUN-ROLA

SF Signal
SF Index
1026.03
Regime
neutral

Event family

KXOTDBASKETBALL-26MAY30ROLAZAUN.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$0

Outcomes

2

Highest price

Rob Colon + Lamar Peters 48¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

2462.6%
2098.3%
Adj IY
1026%
1
LAS
0.17

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Blogmarkets

Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

Opinionanalysis

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

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.