SimpleFunctions

Kyle Pitts Sr · KXNFLFFLEADERTOP-27TET10

Kyle Pitts Sr. is priced at 52¢ on Kalshi. Current book: 46¢ bid, 52¢ ask, 6¢ spread. This outcome ranks #3 of 16 inside KXNFLFFLEADERTOP-27TET10.

Price history

52¢ current

+41¢
25¢50¢
Aug 24, 2026Aug 27, 2026

Contract brief

If Kyle Pitts Sr. finishes top 10 in scoring among tight ends for the 2026-27 Pro Football regular season, then the market resolves to Yes.

Outcome

Kyle Pitts Sr.

Rank

#3 of 16

Leader

Brock Bowers 72¢

Range

11¢-72¢

Family volume

$1K

Identifier

KXNFLFFLEADERTOP-27TET10-KPITTS8

Aug 27, 2026, 5:08 AM UTC · 1m ago

Implied probability

52¢
Latest venue quote
Aug 27, 2026, 5:08 AM UTC · 1m ago

Bid

46¢

Ask

52¢

Spread

24h volume

$490

Family rank

#3 of 16

16 outcomes · KXNFLFFLEADERTOP-27TET10

Closes

Jan 18, 2027

Family volume

$1K

Orderbook snapshot

46 / 52¢

Kalshi
6¢ spread
BidSize
46¢450
43¢5
31¢100
15¢935
14¢50
AskSize
52¢260
59¢450
66¢100
83¢52
84¢1.3K

Contract terms

What resolves this market.

YES condition

If Kyle Pitts Sr. finishes top 10 in scoring among tight ends for the 2026-27 Pro Football regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 18, 2027

Identifier

KXNFLFFLEADERTOP-27TET10-KPITTS8

SF Signal
SF Index
148.35
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

296.7%

IY (No)

215.3%

Adj IY

148%

CRI

1

Overround

6.3%

Regime

neutral

Score

0.5

Full indicator table

296.7%
215.3%
Adj IY
148%
1
Overround
6.3%

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.

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.

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.