SimpleFunctions

Baltimore · KXNFLGAME-26SEP13BALIND

Baltimore is priced at 65¢ on Kalshi. Current book: 61¢ bid, 71¢ ask, 10¢ spread. This outcome ranks #1 of 2 inside KXNFLGAME-26SEP13BALIND.

Price history

65¢ current

+40¢
25¢50¢75¢
May 15, 2026May 28, 2026

Contract brief

If Baltimore wins the Baltimore vs Indianapolis professional football game originally scheduled for Sep 13, 2026, then the market resolves to Yes.

Outcome

Baltimore

Rank

#1 of 2

Leader

Baltimore 61¢

Range

36¢-61¢

Family volume

$93

Identifier

KXNFLGAME-26SEP13BALIND-BAL

May 28, 2026, 7:08 AM UTC · 2m ago

Implied probability

65¢
Latest venue quote
May 28, 2026, 7:08 AM UTC · 2m ago

Bid

61¢

Ask

71¢

Spread

10¢

24h volume

$68

Family rank

#1 of 2

2 outcomes · KXNFLGAME-26SEP13BALIND

Closes

Sep 15, 2026

Family volume

$93

Orderbook snapshot

61 / 71¢

Kalshi
10¢ spread
BidSize
61¢142
42¢7
40¢27
39¢555
35¢67
AskSize
71¢555
73¢37
77¢300
78¢111
80¢6

Contract terms

What resolves this market.

YES condition

If Baltimore wins the Baltimore vs Indianapolis professional football game originally scheduled for Sep 13, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 15, 2026

Identifier

KXNFLGAME-26SEP13BALIND-BAL

SF Signal
SF Index
517.07
Regime
neutral

Event family

KXNFLGAME-26SEP13BALIND.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$93

Outcomes

2

Highest price

Baltimore 61¢

Current share

73%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

211.4%

IY (No)

517.1%

Adj IY

517%

CRI

2

RV

1272%

VR

5.40

Regime

neutral

Score

0.5

Full indicator table

211.4%
517.1%
Adj IY
517%
2
RV
1272%
VR
5.40
IAR
0.4/h

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
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.

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.

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.