SimpleFunctions

Green Bay pro football team win at least 7 games this season

7+ wins is priced at 84¢ midpoint on Kalshi. Current book: 77¢ bid, 91¢ ask, 14¢ spread. This outcome ranks #7 of 15 inside Will the Green Bay pro football team win at least.

Price history

84¢ current

+11¢
70¢80¢
May 26, 2026Jun 25, 2026

Contract brief

If the Green Bay Pro Football team wins at least 7 games in the 2026-27 regular season, then the market resolves to Yes.

Outcome

7+ wins

Rank

#7 of 15

Leader

1+ wins 88¢

Range

2¢-88¢

Family volume

$525

Identifier

KXNFLWINS-27GB-7

Jun 25, 2026, 5:08 PM UTC · 12m ago

Implied probability

84¢
Bid/ask midpoint
Jun 25, 2026, 5:08 PM UTC · 12m ago

Bid

77¢

Ask

91¢

Spread

14¢

Reported volume

$0

Family rank

#7 of 15

15 outcomes · Will the Green Bay pro football team win at least

Closes

Jan 18, 2027

Family volume

$525

Orderbook snapshot

77 / 91¢

Kalshi
14¢ spread
BidSize
77¢500
76¢525
74¢50
71¢100
66¢2
AskSize
91¢5
92¢500
94¢500
96¢25
98¢52

Contract terms

What resolves this market.

YES condition

If the Green Bay Pro Football team wins at least 7 games in the 2026-27 regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 18, 2027

Identifier

KXNFLWINS-27GB-7

SF Signal
SF Index
295.88
Regime
neutral

Browse this series

NFL Team Season Win Total Markets
Per-series collection — every live contract in the KXNFLWINS series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

52.8%

IY (No)

591.8%

Adj IY

296%

CRI

3

Overround

7.5%

Regime

neutral

Score

0.5

Full indicator table

52.8%
591.8%
Adj IY
296%
3
Overround
7.5%

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

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.

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.

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.