TipsterCheck

Monthly vs Yearly Tipster Performance

Judging a tipster by the month leads to bad decisions. Here's why the yearly picture matters far more, and how to use each timeframe properly.

Updated 17 August 2026.

It's natural to check how a tipster did 'this month', but monthly results are dominated by luck and lead to chasing hot streaks and dumping cold ones at the worst times. The yearly view is where skill shows through. This article explains how to use each timeframe, building on why 100 bets isn't enough.

Why monthly results mislead

A month is a small sample, so monthly profit is mostly variance. A great tipster will have losing months; a poor one will have winning months. Judging month-to-month means reacting to noise, and it's exactly how people quit good services at the bottom of a drawdown.

Red months are normal and expected — they're not a signal to bail on their own.

Why the yearly view wins

Over a year (and ideally more), variance averages out and the underlying edge becomes visible. Yearly ROI over a large sample is far more trustworthy than any month's figure, per tipster sample size.

A tipster who is profitable across full years, through good and bad months, is showing something real.

What each timeframe is good for

Use the yearly and all-time view to judge whether a tipster has an edge. Use the monthly view only to understand variance and consistency — how lumpy the ride is — not to decide whether the edge exists.

If you want an earlier read than yearly profit allows, lean on closing line value, which reveals skill faster than results.

Making better decisions

Set your expectations to the yearly picture, accept losing months as the cost of the edge, and don't switch tipsters on the strength of one hot or cold month. Decide stopping rules on long-term evidence, as in when to stop following a losing tipster.

Compare independently reviewed tipsters on their long-term record and Trust Score, not last month's swing.

Frequently asked questions

Why shouldn't I judge a tipster by the month?

A month is a small sample dominated by variance, so good tipsters have losing months and poor ones have winning months. Monthly judging means reacting to noise and often quitting at the worst time.

What timeframe should I use?

Use the yearly and all-time view to judge whether an edge exists, and the monthly view only to understand variance and consistency — not to decide the edge itself.

Is a losing month a reason to quit a tipster?

No. Red months are a normal cost of a real edge. Base stopping decisions on long-term evidence and, ideally, closing line value rather than a single month.

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