SimpleFunctions
KalshiJan 18, 2027259 days left

Will the Jacksonville pro football team win at least 10 games this season?

This contract is priced at 47¢ on Kalshi. Current book: 43¢ bid, 47¢ ask, 4¢ spread.

Implied probability

47¢
$380 volume
$380 liquidity
104% of event volume

Event outcomes

13

Family volume

$364

Best sibling

11+ wins 21¢

Ticker

KXNFLWINS-27JAC-10

Price history

47¢ current

+19¢
25¢50¢75¢100¢
Apr 22, 2026May 3, 2026

Orderbook snapshot

43 / 47¢

Kalshi
4¢ spread
BidSize
43¢20
42¢250
40¢250
31¢1
29¢43
AskSize
47¢251
48¢450
53¢1.0K
57¢50
62¢1

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If the Jacksonville Pro Football team wins at least 10 games in the 2026-27 regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 18, 2027

Identifier

KXNFLWINS-27JAC-10

Event family

Will the Jacksonville 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

$364

Outcomes

13

Highest price

5+ wins 80¢

Current share

99%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

194.3%

IY (No)

101.9%

Adj IY

83%

CRI

1

Overround

5.2%

LAS

0.14

Regime

neutral

Score

0.5

Full indicator table

194.3%
101.9%
Adj IY
83%
1
Overround
5.2%
LAS
0.14

Odds pages

Related prediction questions

Browse odds

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