SimpleFunctions
KalshiMay 27, 202616 days left

Will over 4.5 goals be scored?

By SimpleFunctions· Last verified 11 May 2026Methodology

This contract is priced at 16¢ midpoint on Kalshi. Current book: 13¢ bid, 19¢ ask, 6¢ spread.

Implied probability

16¢
$0 volume
liquidity
0% of event volume

Event outcomes

4

Family volume

$704

Best sibling

Over 2.5 goals scored 54¢

Ticker

KXMLSTOTAL-26MAY13CLTNYC-4

Market snapshot

Over 4.5 goals scored in market context.

This page tracks the Kalshi contract for Will over 4.5 goals be scored?. The displayed quote is 16¢ from the visible bid/ask midpoint because the last venue price is zero. In the KXMLSTOTAL-26MAY13CLTNYC family, this outcome ranks #4 of 4 by current quote across 4 sibling outcomes. The indicator bundle was refreshed May 11, 2026, 11:23 PM UTC.

Outcome

Over 4.5 goals scored

Family rank

#4 of 4

Venue

Kalshi

Current quote

16¢

Quote source

Bid/ask midpoint

Timing

Listed until May 27, 2026

Reported volume

Family context

4 outcomes · KXMLSTOTAL-26MAY13CLTNYC

Quote range

13¢-80¢

Family leader

Over 1.5 goals scored 80¢

Last updated

May 11, 2026, 11:23 PM UTC · 15m ago

Venue identifier: KXMLSTOTAL-26MAY13CLTNYC-4. Family volume: $704.

Price history

16¢ current

+14¢
25¢50¢75¢100¢
May 8, 2026May 11, 2026

Orderbook snapshot

13 / 19¢

Kalshi
6¢ spread
BidSize
13¢1.1K
12¢2.2K
11¢1.2K
10¢1.2K
8¢997
AskSize
19¢1.1K
20¢1.8K
21¢1.3K
22¢1.2K
23¢1.2K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If New York City and Charlotte collectively score more than 4.5 total goals in the Charlotte vs New York City professional MLS soccer game originally scheduled for May 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

May 27, 2026

Identifier

KXMLSTOTAL-26MAY13CLTNYC-4

SF Signal
SF Index
15282.11
Regime
neutral

Event family

KXMLSTOTAL-26MAY13CLTNYC.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$704

Outcomes

4

Highest price

Over 1.5 goals scored 80¢

Current share

0%

Browse this series

MLS Match Goals Total Markets
Per-series collection — every live contract in the KXMLSTOTAL series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

15282.1%

IY (No)

341.2%

Adj IY

15282%

CRI

7

RV

4050%

VR

1.03

Regime

neutral

Score

0.5

Full indicator table

15282.1%
341.2%
Adj IY
15282%
7
RV
4050%
VR
1.03
IAR
0.9/h
Overround
0.8%

Related readings

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

Browse library
Opinionessay

Prediction market liquidity: why depth matters more than volume for serious traders

Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.

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

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.

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.