SimpleFunctions
KalshiJan 18, 2027251 days left

Will the Buffalo pro football team win at least 7 games this season?

By SimpleFunctions· Last verified 11 May 2026Methodology

This contract is priced at 87¢ midpoint on Kalshi. Current book: 73¢ bid, 100¢ ask, 27¢ spread.

Implied probability

87¢
$0 volume
6.4 LAS liquidity
0% of event volume

Event outcomes

13

Family volume

$13

Best sibling

12+ wins 22¢

Ticker

KXNFLWINS-27BUF-7

Market snapshot

7+ wins in market context.

This page tracks the Kalshi contract for Will the Buffalo pro football team win at least 7 games this season?. The displayed quote is 87¢ from the visible bid/ask midpoint because the last venue price is zero. In the Will the Buffalo pro football team win at least family, this outcome ranks #7 of 13 by current quote across 13 sibling outcomes. The indicator bundle was refreshed May 11, 2026, 10:53 PM UTC.

Outcome

7+ wins

Family rank

#7 of 13

Venue

Kalshi

Current quote

87¢

Quote source

Bid/ask midpoint

Timing

Listed until Jan 18, 2027

Reported volume

Family context

13 outcomes · Will the Buffalo pro football team win at least

Quote range

6¢-84¢

Family leader

1+ wins 84¢

Last updated

May 11, 2026, 10:53 PM UTC · 6m ago

Venue identifier: KXNFLWINS-27BUF-7. Family volume: $13.

Price history

87¢ current

+6¢
25¢50¢75¢100¢
Apr 22, 2026May 11, 2026

Orderbook snapshot

73 / 100¢

Kalshi
27¢ spread
BidSize
73¢10
72¢500
71¢20
70¢500
68¢50
AskSize

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If the Buffalo 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-27BUF-7

SF Signal
SF Index
123.74
Regime
neutral

Event family

Will the Buffalo pro football team win at least.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$13

Outcomes

13

Highest price

1+ wins 84¢

Current share

0%

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)

53.7%

IY (No)

392.8%

Adj IY

124%

CRI

3

Overround

7.3%

LAS

0.37

Regime

neutral

Score

0.5

Full indicator table

53.7%
392.8%
Adj IY
124%
3
Overround
7.3%
LAS
0.37

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.