Methodology Matters
In racing, everyone has opinions.
At DC Network, we prefer evidence.
The foundation of every tool, signal and insight on the platform is a structured data collection process designed to identify repeatable market behaviour over thousands of races. We believe transparency is essential. If users are expected to trust the data, they deserve to understand where it comes from, how it is processed and what it actually means.
This page explains the methodology behind the DC Network ecosystem.
How Price Data Is Collected
DC Network continuously captures bookmaker prices throughout the day for every monitored runner.
Prices are recorded at regular intervals and stored as individual market snapshots, creating a detailed timeline of how the betting market evolves from morning through to the off.
Rather than relying solely on opening prices and Starting Price (SP), the platform observes the journey in between. This allows us to identify when support arrives, how quickly a horse is backed, whether momentum is sustained and how the market behaves during different phases of the day.
The result is a historical market record containing millions of individual price observations.
From Snapshots To Market Form
Raw prices alone are not useful.
The objective is to convert market activity into meaningful behavioural data.
Market Form is DC Network’s proprietary market memory system. Every time a horse runs, the platform records a compressed representation of its market behaviour, including key reference points such as opening price, 10am price, intermediate market positions and the final pre-race price.
Over time, this creates a market history for every horse.
Just as traditional form tells us how a horse performed on the racecourse, Market Form tells us how the betting market behaved before those performances occurred.
Understanding Market Form Scores
Market Form scores are designed to measure the strength and significance of a market profile.
The score considers factors such as:
• Frequency of support across previous runs
• Consistency of market behaviour
• Strength of previous price movements
• Historical outcomes following similar market activity
• Repeatability of observed patterns
Higher scores indicate stronger evidence that a horse is behaving in a way it has done successfully before.
Importantly, Market Form scores are descriptive, not predictive. They measure similarity and historical behaviour rather than attempting to forecast race outcomes directly.
What Does A Green Dot Actually Mean?
The green dot has become one of the most recognisable indicators on DC Network.
It is important to understand that a green dot is not a tip.
It is a behavioural signal.
A green dot appears when today’s market activity closely matches a pattern that has previously been associated with a successful performance from the same horse.
The system compares today’s market movement against historical Market Form records and looks for repeatable behaviour.
In simple terms, the horse is doing something today that it has done before when running particularly well.
The signal does not guarantee success.
It simply indicates that the market is behaving in a way that has historically mattered.
Emerging Signals vs Repeat Signals
Not all signals carry the same weight.
An Emerging Signal occurs when a horse reproduces a market pattern that has previously been observed once.
A Repeat Winner Signal requires multiple historical occurrences of the same behaviour.
The greater the number of successful historical matches, the greater the confidence that the pattern represents something meaningful rather than random noise.
This distinction allows users to separate developing patterns from established behavioural tendencies.
Horse Market Form
Horse Market Form focuses on the individual horse.
The system analyses how that specific horse has behaved in previous betting markets and how those market moves related to subsequent performance.
The question being asked is simple:
“Has this horse behaved like this before?”
Every score, profile and signal is built around answering that question objectively.
Trainer Market Form
Trainer Market Form operates differently.
Rather than examining one horse, it studies the collective behaviour of all runners from the same stable.
Certain trainers repeatedly attract support at specific stages of the day, while others tend to drift before outperforming expectations.
Trainer Market Form seeks to identify those recurring stable-level characteristics.
The focus shifts from individual horse behaviour to stable behaviour.
Owner Market Form
Owner Market Form takes an even broader view.
By grouping runners under common ownership, the platform can identify long-term market characteristics that may not be visible when examining horses individually.
Some ownership groups demonstrate remarkably consistent market behaviour across multiple trainers, horses and seasons.
Owner Market Form is designed to uncover those larger structural patterns.
Why Transparency Matters
Many racing products focus on telling users what to back.
DC Network focuses on explaining what the market is doing and why it may be significant.
The objective is not to replace judgement.
The objective is to provide context, evidence and market memory that would otherwise be impossible to build manually.
Methodology is credibility.
Every score, signal and profile on DC Network is built from recorded market behaviour, historical evidence and transparent rules. Users may disagree with conclusions, but they should never be left wondering where the data came from.
That commitment to transparency sits at the heart of the platform.