THE COMPLETE GUIDE

How TipZ365 works, explained with real numbers.

What the dashboard actually does, how to use it, and why fair odds is the single most important idea in the whole system — no jargon, just worked examples.

START HERE

What does the dashboard actually do?

For every football match, the dashboard compares two numbers: what the odds should be according to our model, and what the bookmaker actually pays. When the bookmaker pays more than it should, that's a good bet. Everything else in the dashboard exists to find and rank that gap for you.

USING IT

How to use it, step by step

1

Set your filters

Pick a date range, market and bookmaker at the top. You don't have to change anything — the defaults already show everything relevant for today.

2

Read the table

Each row is one bettable outcome. The Fair and Bookie columns are the two odds being compared. Value % tells you instantly how good the bet is.

3

Add it to your betslip

Click the + at the end of the row. It lands in the betslip on the right, where you enter your stake and see the payout instantly.

4

Optional: let it roll the dice

In the menu at the top right, the Betslip Generator randomly builds a combo for you from picks in your current filter — handy if you don't want to search yourself.

THE BASICS

What is a fair price?

Picture a coin flip. Heads or tails, exactly 50% each. A price is fair when it matches the real chance exactly.

Heads
50%
Fair odds: 2.00
Fair odds = 100 ÷ probability (%)

With a coin, everyone knows the probability exactly: 50%. With a football match, nobody knows it exactly — not even the bookmaker. So our model estimates it from thousands of past games, and turns that estimate into a fair price — same formula as the coin, just built on an educated estimate instead of a certainty.

WHY IT MATTERS

Why fair odds are the whole point

Bookmakers almost always pay a little less than fair — that's their margin, and it's how they make money regardless of who wins. Every now and then, though, a bookmaker's price ends up above fair. That's the exact moment the dashboard is built to find for you.

Fair odds
2.50
Model estimate: 40% home-win chance
VS
Bookmaker odds
3.00
What the bookmaker actually pays
+20.0% Value  — better than fair
Value % = (bookmaker odds ÷ fair odds − 1) × 100

20% value means: if you placed this exact type of bet over and over, you'd come out about 20% ahead of what the real chance justifies, on average. This is an average across many bets — any single bet can still lose, the match itself stays uncertain. Value is a long-run edge, not a guarantee on any one outcome.

What about the bookmaker's own margin?

Every bookmaker price already has a margin baked in, so even an ordinary price is never quite fair to begin with. If they offer you 2.00, the no-margin price might really have been 2.15 or 2.20. That doesn't matter for us, though — we never compare against what it would be without their margin. We compare it directly against our own calculated fair price. If our model puts fair at 1.70 for the same outcome, then even the margin-loaded 2.00 is still clearly more than our estimate says it should be — value survives, no matter how much margin the bookmaker built in.

WORKED EXAMPLE

One row, fully calculated

Here's exactly how this looks as a real row in the dashboard:

Platense – Talleres Córdoba
Market: Home win · Argentina, Liga Profesional
Model probability, home win40%
Fair odds (100 ÷ 40)2.50
Best bookmaker odds3.00
Value+20.0%

What does a stake turn that into?

Stake €50 at odds of 3.00, and a win pays out €150 (€50 × 3.00) — €100 profit plus your €50 stake back. Lose, and the stake is gone. The 20% value only tells you this is a good deal over many such bets — not that this particular one is guaranteed to win.

COMBO BETS

Why value compounds when you combine bets

A combo (accumulator) chains several bets together — the odds get multiplied. That means the value advantage multiplies too, as long as every leg individually has a good price. Here's a three-leg example:

Match & market Fair Bookie Value
Platense – Talleres Córdoba
Home win
2.503.00+20.0%
Leones FC – Deportes Quindío
Away 2+
3.824.20+9.9%
Defensor Sporting – Cerro
Over 2.5
1.912.15+12.6%
Combined (all three multiplied)18.2427.09+48.5%

Each leg on its own only had 10–20% value. Combined, that becomes almost +48.5% value on the whole slip — not the average of the three, quite a bit more, because the edges compound when multiplied. At a €20 stake on the combined odds of 27.09, a win pays out €541.80.

How often does a combo like this actually hit?

Odds tell you directly how often something is expected to happen — just divide 100 by the odds. For our three-leg combo, that gives two very different hit rates:

By bookmaker odds (27.09)
≈ 3–4×
How often the bookmaker's price implies a hit, out of 100 identical combos
VS
By fair odds (18.24)
≈ 5–6×
How often our model says it actually hits, out of 100 identical combos

The bookmaker is paying you as if the combo hits less often than our model believes it really does. That gap between how often the payout implies it should hit and how often it actually hits is the same value advantage as before, just expressed as a hit count instead of a percentage.

What would that mean in real money?

Say you stake €20 on this combo and repeat it 100 times with comparable combos — €2,000 total staked. Now compare two assumptions:

If the bookmaker's price were the truth
Hit rate 3.7 out of 100 (what odds of 27.09 pay for)
Total staked (100 × €20)€2,000
Payout at 3.7 hits≈ €2,000
Net result±€0
If our model is right
Hit rate 5.5 out of 100 (what our estimate says)
Total staked (100 × €20)€2,000
Payout at 5.5 hits≈ €2,970
Net result+€970

That's the actual point: odds are built so that, if the implied probability were correct, they'd break exactly even — the bookmaker pays out precisely what its own price obligates it to, no more. Any profit comes purely from the combo hitting more often in reality than the price assumes. No trick, no lucky streak required — just a price set higher than the true hit rate justifies.

Important: a likely winner isn't automatically a good bet

A team that's very likely to win isn't automatically a good bet — what matters is whether the payout matches that likelihood. For comparison, the same setup for a popular favourite:

Fair odds
1.54
Model estimate: 65% home-win chance
VS
Bookmaker odds
1.40
Squeezed down because everyone bets the favourite
−9.1% Value  — worse than fair, despite the high win chance

Rows like this get filtered out automatically. Only bets with positive value earn the green Playable checkmark — no matter how likely the win looks otherwise.

QUICK REFERENCE

Key terms, explained briefly

Fair
The odds our model estimates would be appropriate for that outcome.
Bookie
The best actual price currently available at a real bookmaker.
Value %
How much better the bookmaker's price is than fair. Higher is better.
Playable ✓
A green check means the value clears the minimum threshold worth betting on.
Model Consensus
Dots showing how several independent model variants estimate the same outcome. Tightly clustered dots mean higher agreement.
Betslip
Your bet-building basket. Tracks combined odds and potential payout automatically.

Value % is a statistical estimate, not a guarantee. Every individual match remains uncertain, and even high-value bets can lose. Only stake money you can afford to lose.