SimpleFunctions
KalshiMay 28, 202620 days left

Will over 4.5 goals be scored?

This contract is priced at 41¢ midpoint on Kalshi. Current book: 2¢ bid, 79¢ ask, 77¢ spread.

Implied probability

41¢
$0 volume
0.1 LAS liquidity

Event outcomes

4

Family volume

$0

Best sibling

Over 1.5 goals scored 69¢

Ticker

KXLALIGATOTAL-26MAY14VCFRVC-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 41¢ from the visible bid/ask midpoint because the last venue price is zero. In the KXLALIGATOTAL-26MAY14VCFRVC family, this outcome ranks #4 of 4 by current quote across 4 sibling outcomes. The indicator bundle was refreshed May 9, 2026, 4:23 AM UTC.

Outcome

Over 4.5 goals scored

Family rank

#4 of 4

Venue

Kalshi

Current quote

41¢

Quote source

Bid/ask midpoint

Timing

Listed until May 28, 2026

Reported volume

Family context

4 outcomes · KXLALIGATOTAL-26MAY14VCFRVC

Quote range

1¢-69¢

Family leader

Over 1.5 goals scored 69¢

Last updated

May 9, 2026, 4:23 AM UTC · 2h ago

Venue identifier: KXLALIGATOTAL-26MAY14VCFRVC-4. Family volume: .

Price history

41¢ current

+39¢
25¢50¢75¢100¢
May 8, 2026May 9, 2026

Orderbook snapshot

2 / 79¢

Kalshi
77¢ spread
BidSize
100¢300
2¢10
AskSize
79¢10
80¢41
98¢159
99¢401

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Vallecano and Valencia collectively score more than 4.5 total goals in the Valencia vs Vallecano professional La Liga soccer game originally scheduled for May 14, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

May 28, 2026

Identifier

KXLALIGATOTAL-26MAY14VCFRVC-4

Event family

KXLALIGATOTAL-26MAY14VCFRVC.

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

$0

Outcomes

4

Highest price

Over 1.5 goals scored 69¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

21498.1%

IY (No)

162.6%

Adj IY

21498%

CRI

12

RV

28998%

VR

3.76

Regime

neutral

Score

0.5

Full indicator table

21498.1%
162.6%
Adj IY
21498%
12
RV
28998%
VR
3.76
IAR
1.9/h
Overround
0.5%

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