SimpleFunctions

Dresden To Advance for Rhynern vs Dresden

Dresden To Advance: Dresden advances is priced at 92¢ on Kalshi. Current book: 39¢ bid, 54¢ ask, 15¢ spread. This outcome ranks #1 of 2 inside Rhynern vs Dresden.

Price history

92¢ current

+89¢
0¢25¢50¢75¢100¢
Aug 9, 2026Aug 9, 2026

Contract brief

If Dresden advance past Rhynern in the Rhynern vs Dresden soccer tie in the Round 1 of the DFB Pokal, then the market resolves to Yes.

Outcome

Dresden To Advance: Dresden advances

Rank

#1 of 2

Leader

Dresden To Advance: Dresden advances 32¢

Range

3¢-32¢

Family volume

$634

Identifier

KXDFBPOKALADVANCE-26AUG23WESSGD-SGD

Aug 9, 2026, 10:08 AM UTC · 27m ago

Implied probability

92¢
Latest venue quote
Aug 9, 2026, 10:08 AM UTC · 27m ago

Bid

39¢

Ask

54¢

Spread

15¢

24h volume

$634

Family rank

#1 of 2

2 outcomes · Rhynern vs Dresden

Closes

Sep 20, 2026

Family volume

$634

Orderbook snapshot

39 / 54¢

Kalshi
15¢ spread
BidSize
100¢760
39¢15
5¢37
3¢10
2¢275
AskSize
54¢10
93¢70
95¢20
96¢400
97¢400

Contract terms

What resolves this market.

YES condition

If Dresden advance past Rhynern in the Rhynern vs Dresden soccer tie in the Round 1 of the DFB Pokal, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 20, 2026

Identifier

KXDFBPOKALADVANCE-26AUG23WESSGD-SGD

SF Signal
SF Index
4980.42
Regime
neutral

Event family

Rhynern vs Dresden.

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

Total volume

$634

Outcomes

2

Highest price

Dresden To Advance: Dresden advances 32¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

9960.8%
75.3%
Adj IY
4980%
12

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.

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.

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.

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.

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.

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.