SimpleFunctions

Total Goals for Carolina vs Philadelphia

Carolina vs Philadelphia: Total Goals is priced at 1¢ on Kalshi. Current book: 0¢ bid, 100¢ ask, 100¢ spread. This page tracks a standalone prediction-market contract.

Price history

1¢ current

1¢
0¢10¢
May 3, 2026May 7, 2026

Contract brief

If over 8.5 total combined goals are scored in the Carolina vs Philadelphia professional hockey game originally scheduled for May 7, 2026, then the market resolves to Yes.

Outcome

Carolina vs Philadelphia: Total Goals

Rank

Standalone

Leader

Range

Family volume

$45K

Identifier

KXNHLTOTAL-26MAY07CARPHI-8

May 25, 2026, 3:30 AM UTC · 0m ago

Implied probability

1¢
Latest venue quote
May 25, 2026, 3:30 AM UTC · 0m ago

Bid

Ask

100¢

Spread

100¢

Reported volume

$45K

Family rank

Standalone

Standalone contract

Closes

May 8, 2026

Family volume

$45K

Orderbook snapshot

0 / 100¢

Kalshi
100¢ spread
No public depth snapshot is cached for this contract yet.

Contract terms

What resolves this market.

YES condition

If over 8.5 total combined goals are scored in the Carolina vs Philadelphia professional hockey game originally scheduled for May 7, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

May 8, 2026

Identifier

KXNHLTOTAL-26MAY07CARPHI-8

SF Signal
Regime
neutral

Event family

This market.

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

Total volume

$45K

Outcomes

1

Highest price

Carolina vs Philadelphia: Total Goals 1¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Related readings

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

Browse library
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

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.

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.