SimpleFunctions

Viktor Hovland finishes top 20: Viktor Hovland · KXPGATOP20-TOC26

Viktor Hovland finishes top 20: Viktor Hovland is priced at 77¢ on Kalshi. Current book: 75¢ bid, 77¢ ask, 2¢ spread. This outcome ranks #5 of 16 inside KXPGATOP20-TOC26.

Price history

77¢ current

+5¢
70¢80¢
Aug 24, 2026Aug 25, 2026

Contract brief

If Viktor Hovland finishes in the top 20 (including ties) in the 2026 TOUR Championship, then the market resolves to Yes.

Outcome

Viktor Hovland finishes top 20: Viktor Hovland

Rank

#5 of 16

Leader

Scottie Scheffler finishes top 20: Scottie Scheffler 95¢

Range

44¢-95¢

Family volume

$96K

Identifier

KXPGATOP20-TOC26-VHOV

Aug 25, 2026, 9:08 PM UTC · 40m ago

Implied probability

77¢
Latest venue quote
Aug 25, 2026, 9:08 PM UTC · 40m ago

Bid

75¢

Ask

77¢

Spread

24h volume

$95

Family rank

#5 of 16

16 outcomes · KXPGATOP20-TOC26

Closes

Sep 27, 2026

Family volume

$96K

Orderbook snapshot

75 / 77¢

Kalshi
2¢ spread
BidSize
75¢12K
74¢2.2K
73¢5.0K
72¢288
70¢2.0K
AskSize
77¢27K
78¢16K
79¢19K
80¢5.6K
81¢3.1K

Contract terms

What resolves this market.

YES condition

If Viktor Hovland finishes in the top 20 (including ties) in the 2026 TOUR Championship, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 27, 2026

Identifier

KXPGATOP20-TOC26-VHOV

SF Signal
SF Index
1704.60
Regime
neutral

Event family

KXPGATOP20-TOC26.

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

Total volume

$96K

Outcomes

16

Highest price

Scottie Scheffler finishes top 20: Scottie Scheffler 95¢

Current share

0%

Browse this series

PGA Championship Top-N Finish Markets
Per-series collection — every live contract in the KXPGATOP series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

378.8%

IY (No)

3409.2%

Adj IY

1705%

CRI

3

Overround

19.7%

Regime

neutral

Score

0.5

Full indicator table

378.8%
3409.2%
Adj IY
1705%
3
Overround
19.7%

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.

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.

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.

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.