SimpleFunctions

Both Teams To Score - 1st Half · KXWC1HBTTS-26JUN27JORARG

Both Teams To Score - 1st Half is priced at 11¢ on Kalshi. Current book: 11¢ bid, 14¢ ask, 3¢ spread. This page tracks a standalone prediction-market contract.

Price history

11¢ current

+6¢
0¢10¢
Jun 5, 2026Jun 25, 2026

Contract brief

If Jordan and Argentina both score a goal in the 1st Half of the Jordan vs Argentina FIFA World Cup match originally scheduled for Jun 27, 2026, then the market resolves to Yes.

Outcome

Both Teams To Score - 1st Half

Rank

Standalone

Leader

Range

Family volume

$674

Identifier

KXWC1HBTTS-26JUN27JORARG-BTTS

Jun 25, 2026, 11:38 AM UTC · 9m ago

Implied probability

11¢
Latest venue quote
Jun 25, 2026, 11:38 AM UTC · 9m ago

Bid

11¢

Ask

14¢

Spread

24h volume

$674

Family rank

Standalone

Standalone contract

Closes

Jul 12, 2026

Family volume

$674

Orderbook snapshot

11 / 14¢

Kalshi
3¢ spread
BidSize
11¢600
10¢725
8¢100
7¢709
6¢4.3K
AskSize
14¢143
15¢147
16¢600
17¢600
20¢133

Contract terms

What resolves this market.

YES condition

If Jordan and Argentina both score a goal in the 1st Half of the Jordan vs Argentina FIFA World Cup match originally scheduled for Jun 27, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 12, 2026

Identifier

KXWC1HBTTS-26JUN27JORARG-BTTS

SF Signal
SF Index
17792.40
Regime
neutral

Event family

KXWC1HBTTS-26JUN27JORARG.

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

Total volume

$674

Outcomes

1

Highest price

Both Teams To Score - 1st Half 11¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

17792.4%

IY (No)

271.8%

Adj IY

17792%

CRI

8

RV

419%

VR

0.34

Regime

neutral

Score

0.5

Full indicator table

17792.4%
271.8%
Adj IY
17792%
8
RV
419%
VR
0.34
IAR
0.3/h

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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.

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.

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.

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.

Technicalguide

Computing Liquidity Availability Score from the Orderbook

Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.

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.

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.