StatChecker.app documentation.

Overview

StatChecker.app helps you check a line before you place a bet. It doesn’t tell you what to do. it shows the historical hit rates quickly so you can decide whether the price makes sense. The aim is to cut down on guesswork and replace it with repeatable checks you can trust.

Use Single Search for one player line. Use SGM Search when you want to combine a few teammate legs and see how often they actually land together. The Vault keeps your regular players, saved searches, and weight presets in one place so you don’t rebuild the same setup every week.

Everything is designed for real‑world use: quick checks before a game, during a break, or on the way to the pub. The interface stays simple and the output is clear, so you can move fast without losing the detail that matters.

Core principles

Two things matter: speed and clarity. Searches return in seconds so you can compare lines quickly. The layout keeps the signal up front (hit rate, sample size, and context), and the weight sliders let you shape the model to match how you actually think about a match.

The goal isn’t perfect prediction. It’s avoiding bad bets by seeing the numbers clearly. StatChecker.app is a decision tool. It supports your judgement rather than replacing it.

Recommended workflow

Start with Single Search to validate a line. If the hit rate and sample size look solid, move to SGM Search to see how the legs combine. Save your regular players and searches in My Vault so you can re‑run them next round in one click.

If you’re unsure, keep it simple: check a single line, compare home/away or opponent, and decide. Build SGM legs only when the single‑line numbers already look strong.

Single Search

What it does

Single Search tells you how often a player has hit a line. It’s the quickest way to see if a price lines up with reality or if it’s just hype. You can check full career, recent seasons, or narrow it down with filters to match the matchup.

The output is a clear over/under split (or win/loss for quick lines). That gives you a baseline before you add a leg to a multi or chase a boosted market.

Filters and context

Filters help you answer the real questions: Does the player perform differently at home? Do they struggle against this opponent? Is the venue a boost or a drag? Combine that with season ranges to compare long‑term form versus recent form.

Use filters when the sample size is healthy. A tiny sample can look great on paper but won’t hold up over time. If the sample is small, widen the range first, then tighten it once you’ve got enough games to trust the split.

Quick picks and win/loss

The one‑tap lines (1+, 20+, 30+) strip out the half‑line noise and give you a clean hit rate. They’re perfect for quick decisions and a clear yes/no view.

A good approach is to start with a quick pick, then move to a custom line if you want more precision. That keeps your research fast without losing control.

SGM Search

How it works

SGM Search only uses games where all selected teammates played together. Each leg is checked game by game, then combined into one outcome set. That means you’re looking at a true joint hit rate, not a blended average from unrelated games.

This matters because teammate performance is tied to the same match conditions. You’re not guessing how lines might combine. You’re seeing how they actually combined in real games.

How to use it

Add two or more teammates, pick their lines, and set the season range. Use filters only if there's enough games to keep the result trustworthy. Start with 2–3 legs, then grow.

If the sample is small, widen the range first. A clean number from 40 games beats a flattering number from 7 games. Keep it simple until you’ve got enough data to narrow down.

Understanding outcomes

Over/Under shows the full mix of outcomes. Win/Loss is the quick version. It treats each leg as a hit/miss and gives you one number. Use Win/Loss when you want clarity fast and Over/Under when you want the detailed breakdown.

Keep the leg styles consistent. Don’t mix quick picks with half‑line picks in the same SGM. Consistency keeps the result clean and easy to interpret.

Weights

Why weights exist

Weights let you decide what matters more. Some people trust recent form, others trust long‑term numbers or venue/opponent splits. Weights give you that control without forcing one fixed model.

The sliders start with sample size by default, then you can lean the model toward what you believe has the biggest impact. It’s your judgement applied to the data.

Presets and reuse

Presets save your favourite mix as percentages. When you apply one later, StatChecker scales it to the games available. That keeps your approach consistent without fiddling.

Save one preset as your default and another for specific situations (for example, a “form‑heavy” setup). That way you can switch styles without re‑tuning sliders each time.

My Vault

Saved players

Save your regular players and they show up under “Saved” in Single and SGM. It keeps your workflow fast so you can re‑check the same blokes every round.

This list is for your personal favourites, not the Top Picks we publish. Use it for players you track each week so you can jump straight into a search without re‑typing names or chasing the same filters.

You can add, remove, and update this list anytime. The goal is a tidy shortlist that saves time and keeps your research consistent round after round.

Saved searches

Save a search once, rerun it next round with one click. We don't store results. Only the setup. So you always get fresh numbers for the next game.

A saved search includes the player, stat type, line, and any filters you used. It's perfect for checking the same line every week without rebuilding the setup. If the line changes, just edit the saved search and it updates instantly.

Saved searches are for research, not results. That means the numbers update as soon as new games land, which is exactly what you want heading into the next round.

Saved weights

Save weight presets and apply them inside Single or SGM. It keeps your model consistent without re‑tuning sliders every time you log in.

You can keep one default preset and a couple of alternates for specific situations (for example, “recent form” versus “full sample”). Apply them with one click so the weighting stays consistent across all your searches.

Plan differences

Limits and caps

Free gives you enough to test the app properly. Paid removes the caps so you can hammer searches and store a bigger Vault. Friends & Family and Admin have custom limits.

Weekly search caps are there to keep the service fast and reliable. If you hit the limit, you can still browse and prep. You just can't run more searches until the weekly reset.

Vault storage also scales with your plan. Paid users can save more players, more searches, and more weight presets so they can build a full workflow around the app.

When to upgrade

If you're running heaps of searches each round or tracking lots of players, upgrading keeps everything smooth and removes the weekly caps.

If you mainly use a handful of players and only run a few checks each week, the free plan is fine. Upgrade when you want unlimited searches, larger saved lists, and no interruptions during peak rounds.

Research centre

We're building a research library on betting fundamentals. This is where we'll put papers and guides on staking, Kelly Criterion, variance, and how pros use data without getting sucked into the hype.

The goal is practical help, not theory for theory's sake. We'll break down concepts in plain language and show how they apply to real bets, real prices, and real bankrolls.

Staking frameworks

We'll cover flat staking, proportional staking, and Kelly‑based models so you can pick a style that fits your bankroll and risk tolerance.

You'll get simple examples for each method, plus the trade‑offs. The aim is to help you keep your stakes consistent and avoid chasing losses.

Bias and decision quality

Data helps cut through recency bias, media noise, and overconfidence. We'll show how to build repeatable decision rules based on the stats.

We'll also cover common traps like small‑sample overconfidence and headline bias, with simple checks to keep your decisions consistent.

Variance and sample size

We'll explain why sample size matters for player props and how to avoid over‑reacting to short‑term streaks.

You'll learn how to read hit rates with the right context and why a clean sample of 30+ games often beats a flashy 6‑game run.

Need help?

If you want a walkthrough, a new filter, or a custom feature, reach out. We reply fast and we actually build based on feedback.

The fastest way to get help is to include what you searched for and a screenshot of the result. That lets us troubleshoot quickly and keep the product moving in the right direction.

We also publish updates regularly. If something changes in a feature, we'll add notes here so you can keep your workflow aligned with the latest version.

Mini FAQ

Do you store my results?

No. We only store the search setup (player, line, filters) so you can re‑run it later. Results always refresh with the latest games.

Why does sample size change so much?

Filters tighten the pool. If you add opponent, venue, or narrow seasons, you reduce the number of games. That's normal. Just keep an eye on the count so it stays meaningful.

What's the best way to use weights?

Start with the default. If you care more about recent form, push recent seasons higher. If you care about stable long‑term trends, keep the full sample strong.

How often do limits reset?

Weekly limits reset at the end of the week. If you hit a cap, you can still browse and prepare. You just can't run new searches until the reset.

I saved a search. Why doesn't it show results?

Saved searches don't cache results by design. Open the saved search to run it again and get the latest numbers for the upcoming game.

Change Log

Monday 9th March 2026

Ongoing AFL Opening Round 2026 games added to dataset.