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Free, in-depth guides to data-driven betting: from your first strategy to reading the market like a professional.
Getting started
What is Bet2Invest?
A quick tour of the platform: how tipsters, bettors and Pinnacle odds fit together, and what you can actually do here.
A guided tour of the Strategy Builder
From an empty canvas to a running strategy: filters, the tree, backtesting, and how to save and go live.
Plans & pricing, explained
What is free forever, the exact moment a plan becomes necessary, and how Starter, Pro and Elite build on each other.
Which plan fits you?
A decision guide by user profile: follower, builder, power user or tipster — and how each plan capability maps to a real need.
VideoYour first week on Bet2Invest
A realistic seven-day plan for getting started: study the leaderboard, build and backtest a first draft, pick a plan, then activate your strategy and follow a few others.
How your picks quota works
What counts as a pick, when your quota resets, and how rollover, top-ups and the free teaser fit together — so you always know exactly where your picks go.
Following strategies well
How to read a strategy before you follow it, which numbers actually predict your experience, and when it is rational to unfollow.
Concepts
What is data mining (in betting)?
Finding repeatable patterns in historical odds and results — and why the honest version is harder, and more valuable, than it looks.
Understanding odds, probability and the vig
How to read decimal odds as probabilities, what the bookmaker margin really costs you, and why Pinnacle is the reference.
Value betting and closing line value
The one metric sharp bettors trust to know if they are winning before the results even arrive: closing line value.
The closing line, and why some leagues are beatable
How a betting line sharpens between open and close, why beating the closing price is the real skill signal, and how to find the leagues where the market is still soft.
Liquidity, limits, and what they tell you
A bookmaker’s max-bet limit is one of the most honest numbers in betting. Here is how limits shape line quality, why an edge you can’t stake is smaller than it looks, and how to use the liquidity and vig filters.
Variance, losing streaks, and sample size
Why a genuinely profitable strategy still loses often, why losing streaks are a mathematical certainty, and how many bets it actually takes before results mean anything.
How the strategy rating works
What the 0–100 rating actually measures, the five sub-scores behind it, and how to sort the leaderboard like someone who has been burned before.
Favorites, underdogs, and the four markets
What moneyline, spread, total and team total actually ask, how the platform decides who the favorite is, and why blindly backing either side of that line loses.
Building strategies
How to build a winning strategy
A repeatable method: start from a hypothesis, keep it simple, demand a large sample, and let closing line value be the judge.
Backtesting without fooling yourself
The backtest is the most powerful and most dangerous tool you have. How overfitting sneaks in, and how out-of-sample testing keeps you honest.
Anatomy of a strategy
What a strategy is actually made of — one sport, one bet selection, one filter tree — how groups combine on the canvas, and what gets frozen the moment you hit Save.
Reading a backtest: every metric explained
The reference guide to every number on the backtest panel — what each one measures, what good looks like, and the traps that make bad strategies look brilliant.
From backtest to live: what changes
Saving a strategy turns a simulation into a machine that fires on real matches. Here is exactly what changes — the price you get, the record you build, and the patience it demands.
Publishing your strategy
What it takes to make a strategy public, what changes the moment you do, and how to time it: the road from private edge to certified track record.
Strategy slots, sports, and resource points
Three plan caps are checked every time you activate a strategy. Understand what each one measures — especially resource points — so none of them ever surprises you.
Filters guide
The filter palette: an overview
A map of all 24 filters — what each one tests, how they combine, which plan tier unlocks them, and how to pick the few that actually belong in your strategy.
Odds and market filters
A deep dive into odds_range and favorite_side: what each one tests, how odds_range adapts to all four markets, and why the price window you choose shapes everything else about your strategy.
Form and scoring filters: the team-history family
Five Pro-tier filters that read a team’s recent results and goals — how streaks, rates and averages work, and why raw form only pays when you combine it.
Head-to-head and scheduling filters
Derbies, tired legs, midweek cup ties: the situational filter family lets you turn opponent history and the fixture calendar into testable rules — as long as you remember the market reads the schedule too.
League and market quality filters
These filters decide where your strategy hunts — which leagues, groups and teams — and how good the betting market is there. A tour of the scoping and market-quality family, from explicit league lists to the Elite-only league_line_move.
Sport-specific filters: tennis and esports
Surface, indoor or outdoor courts, best-of format: some variables only exist in one sport, and they matter more than form. How the specialist filters work and why they are a natural home for niche strategies.
Earning
How can I earn money with a strategy?
Two paths: bet your own strategy with discipline, or share a certified track record and earn from subscribers who follow it.
How revenue share works
The full mechanics of creator revenue share: 20% of every subscriber's plan, split between the public strategies they follow, prorated by delivered picks.