Battlefield Analyst cookbook

Chat is how you ask. Battlefield Analyst is the product. After a battlefield is in the library, you name a slice, then ask — measures, a combination you define, sequences, why a row looks wrong. There is no menu of report buttons.

The game never reports who actually traded well on last night’s incoming. You focus those defenses, then ask. That used to be a weekend of opening reports. It is a named slice and a question. If you have not imported a battlefield yet, start with a worked reading — what the question found — then come back here for how to ask it on yours.

After you focus any slice you can name, you can ask questions that used to be too expensive to answer at all — keep sequences, rein movement, dust vs a full march, layer cost–benefit, custom piles that will never have a button. Depth still tracks what was imported. Missing reports stay missing. You still have to name the slice and the thing you want to know.

See what one of those questions found.

The loop below is how you drive Battlefield Analyst after a battlefield is loaded. The readings are what that looks like when the reports are already in: which keep hits mattered, when marches were depleted, who traded well.

Fast Read importing favorited reports in real time. Longer real-time clip · Full demo
First battlefield summary
First battlefield summary. Click to enlarge.
Try it on your next battlefield Which hits on that keep mattered

New customers can start with a 7-day trial. Plans start at $14.99/month with full feature access.

The loop

The Analyst is built to change focus, then answer your questions on that focus. A battlefield is dozens or hundreds of fights. You cannot usefully ask every interesting question against the whole pile at once.

  1. Select a battlefield. You get a first summary — a map of what is in the reports, and what is worth a closer look.
  2. Name a subset in plain language, and stack the cuts. Our team vs incoming. Attacks or defenses. Solos or rallies, of any type or one type. A person in a job. A keep, a window, a combination. How to narrow the pile.
  3. Read the summary after the Analyst shifts to that subset. For a few well-worn subsets, that slice also gets richer reporting on the way in. Useful. Not the ceiling.
  4. Ask what you actually want to know about the current focus. Layer-backed measures, a combination you define, lowest / typical / highest / spread, down to a single layer, in the table shape you want. Numbers and shapes. This step is the system.

If you only learn the slices that already look dense on the way in, you are using a fraction of it.

Start here

ReadWhy
The core loopHow you drive: focus, then ask
Why this used to be impossibleScale — why those questions were fantasies
What not to expectNot a chatbot, not a ribbon, not omniscience
Question atlasWhat it is worth asking
What the Analyst isNot a chatbot, not a report menu
Naming a subsetHow to narrow the pile
Numbers and shapesMeasures, comparisons, grain, table shape
Numbers, and the readingTables vs judgment
After the summaryStep 4 is the system
Staying vs movingSame slice vs a new pile
Kinds of answersTables, timelines, comparisons
Worked readingsWhat one of those questions found on a real battlefield
RecipesShort worked loops

What this is

It is not a CSV or JSON dump of the library. Tables in the Analyst have a copy button. Common slices that get denser reporting are listed once so you recognize them. They are not the catalog.

Pricing, Fast Read, and seats: download and FAQ.

Additions

If you found a cut or a follow-up others can reuse, describe it on Discord. Use a battlefield you actually ran. Do not send other players’ screenshots or identifiable report dumps without consent. These pages are CC BY 4.0.

The loop only works on reports you imported.

Read the cookbook so you know what to ask — then Fast Read a real battlefield and run the loop on your own mail. That is the conversion from “I get it” to “we use it.”

Try it on your next battlefield Worked readings

New customers can start with a 7-day trial. Plans start at $14.99/month with full feature access.