SimpleFunctions

Tie to win Kobe vs Kashima

Tie is priced at 30¢ midpoint on Kalshi. Current book: 29¢ bid, 31¢ ask, 2¢ spread. This outcome ranks #2 of 3 inside Kobe vs Kashima Winner.

Price history

30¢ current

+4¢
30¢
May 27, 2026May 28, 2026

Contract brief

If Tie wins the Kobe vs Kashima professional Japan J1 League soccer game originally scheduled for May 30, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Outcome

Tie

Rank

#2 of 3

Leader

Kobe 40¢

Range

28¢-40¢

Family volume

$173

Identifier

KXJLEAGUEGAME-26MAY30VIKKAS-TIE

May 28, 2026, 8:08 PM UTC · 28m ago

Implied probability

30¢
Bid/ask midpoint
May 28, 2026, 8:08 PM UTC · 28m ago

Bid

29¢

Ask

31¢

Spread

Reported volume

$0

Family rank

#2 of 3

3 outcomes · Kobe vs Kashima Winner

Closes

Jun 13, 2026

Family volume

$173

Orderbook snapshot

29 / 31¢

Kalshi
2¢ spread
BidSize
29¢1.8K
28¢318
27¢1.8K
26¢357
25¢2.0K
AskSize
31¢1.5K
32¢374
33¢1.8K
34¢318
35¢1.3K

Contract terms

What resolves this market.

YES condition

If Tie wins the Kobe vs Kashima professional Japan J1 League soccer game originally scheduled for May 30, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 13, 2026

Identifier

KXJLEAGUEGAME-26MAY30VIKKAS-TIE

SF Signal
SF Index
5814.44
Regime
neutral

Event family

Kobe vs Kashima Winner.

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

Total volume

$173

Outcomes

3

Highest price

Kobe 40¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

5814.4%

IY (No)

970.0%

Adj IY

5814%

CRI

2

RV

294%

VR

0.36

Regime

neutral

Score

0.5

Full indicator table

5814.4%
970.0%
Adj IY
5814%
2
RV
294%
VR
0.36
IAR
0.3/h
Overround
-0.0%

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.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

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.

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.

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.

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.