SimpleFunctions

2026-27 Season Top Kicker for Who will be Fantasy Football

Charlie Smyth is priced at 20¢ on Kalshi. Current book: 0¢ bid, 20¢ ask, 20¢ spread. This outcome ranks #4 of 4 inside Who will be Fantasy Football: 2026-27 Season Top Kicker.

Price history

20¢ current

20¢
Jul 21, 2026Jul 21, 2026

Contract brief

If Charlie Smyth is the #1 scoring Kicker on ESPN Fantasy Football PPR Kicker Rankings in the 2026-2027 regular season, then the market resolves to Yes.

Outcome

Charlie Smyth

Rank

#4 of 4

Leader

Brandon Aubrey 50¢

Range

20¢-50¢

Family volume

$0

Identifier

KXRANKLISTFFK-27-CSMYTH39

Jul 21, 2026, 12:38 PM UTC · 5m ago

Implied probability

20¢
Latest venue quote
Jul 21, 2026, 12:38 PM UTC · 5m ago

Bid

Ask

20¢

Spread

20¢

Reported volume

$45

Family rank

#4 of 4

4 outcomes · Who will be Fantasy Football: 2026-27 Season Top Kicker

Closes

Feb 1, 2027

Family volume

$0

Orderbook snapshot

0 / 20¢

Kalshi
20¢ spread
BidSize
AskSize
20¢955
94¢81
95¢5.0K
96¢150
98¢2.2K

Contract terms

What resolves this market.

YES condition

If Charlie Smyth is the #1 scoring Kicker on ESPN Fantasy Football PPR Kicker Rankings in the 2026-2027 regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 1, 2027

Identifier

KXRANKLISTFFK-27-CSMYTH39

SF Signal
SF Index
374.89
Regime
neutral

Event family

Who will be Fantasy Football: 2026-27 Season Top Kicker.

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

Total volume

$0

Outcomes

4

Highest price

Brandon Aubrey 50¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

749.8%

IY (No)

46.9%

Adj IY

375%

CRI

4

Overround

0.3%

Regime

neutral

Score

0.5

Full indicator table

749.8%
46.9%
Adj IY
375%
4
Overround
0.3%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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

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.

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.

Technicalguide

How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis

Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.

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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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.