SimpleFunctions

Denzel Boston · KXNFLFFLEADERTOP-27ROOKT5

Denzel Boston is priced at 33¢ midpoint on Kalshi. Current book: 27¢ bid, 38¢ ask, 11¢ spread. This outcome ranks #2 of 16 inside KXNFLFFLEADERTOP-27ROOKT5.

Price history

33¢ current

+17¢
10¢20¢30¢
Aug 24, 2026Aug 27, 2026

Contract brief

If Denzel Boston finishes top 5 in scoring among rookies for the 2026-27 Pro Football regular season, then the market resolves to Yes.

Outcome

Denzel Boston

Rank

#2 of 16

Leader

Carnell Tate 38¢

Range

1¢-38¢

Family volume

$131

Identifier

KXNFLFFLEADERTOP-27ROOKT5-DBOSTON12

Aug 28, 2026, 12:38 PM UTC · 48m ago

Implied probability

33¢
Bid/ask midpoint
Aug 28, 2026, 12:38 PM UTC · 48m ago

Bid

27¢

Ask

38¢

Spread

11¢

Reported volume

$0

Family rank

#2 of 16

16 outcomes · KXNFLFFLEADERTOP-27ROOKT5

Closes

Jan 18, 2027

Family volume

$131

Orderbook snapshot

27 / 38¢

Kalshi
11¢ spread
BidSize
100¢100
27¢550
12¢100
11¢181
3¢1.7K
AskSize
38¢550
53¢100
91¢89
92¢3.1K
96¢1.0K

Contract terms

What resolves this market.

YES condition

If Denzel Boston finishes top 5 in scoring among rookies for the 2026-27 Pro Football regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 18, 2027

Identifier

KXNFLFFLEADERTOP-27ROOKT5-DBOSTON12

SF Signal
SF Index
689.63
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

689.6%

IY (No)

94.3%

Adj IY

690%

CRI

3

RV

8312%

VR

18.02

Regime

neutral

Score

0.5

Full indicator table

689.6%
94.3%
Adj IY
690%
3
RV
8312%
VR
18.02
IAR
0.8/h
Overround
1.8%

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.

Blogtech

MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket

Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.

Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

Bloginsights

SimpleFunctions vs Oddpool vs Raw Kalshi API — Which Prediction Market Tool Should You Use?

Compare SimpleFunctions, Oddpool, and raw Kalshi/Polymarket APIs for prediction market trading. Honest breakdown of features, pricing, and when to use each tool.

Blogmarkets

How to Actually Make Money on Kalshi (Not the Advice You'll Find on Reddit)

A practical, data-driven guide to making money on Kalshi prediction markets. Screening, sizing, orderbook analysis, regime detection, and the strategies that actually work.

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.