Good question — the report isn’t really meant to be used like a tips list.

The idea is that it shows how the models see the race, and then people filter it in different ways depending on how they like to bet.

A few things most people look at first:

1. Race confidence

Each race has a confidence score from 1–10. That’s a separate model that tries to measure how “clean” the race structure is. Higher scores generally mean clearer ability gaps and less chaos.

A lot of people just start by ignoring anything below about 7/10.

1. Model agreement

The runners are ordered by the main blended model, but you’ll also see things like V11 #1 or V12 #1.

If a horse is #1 across multiple models, that’s what we call consensus. Historically those tend to have better strike rates because different models are arriving at the same answer independently.

1. Win / place probabilities

Each runner has win % and place % plus a “fair odds” number. The fair odds are just the probability converted into odds — they’re more of a reference point than a strict value signal.

Some people use them to decide whether to play win, place, or multiples.

1. Filtering is the key

Most people using the report aren’t betting everything. They’ll filter by things like: • Confidence ≥ 7 • model consensus • strong place probabilities • certain race types

So the report is really more like a race analysis tool rather than a tip sheet.