Almost every argument about whether someone is any good is really an argument about sample size. Here is what the numbers say.
Almost every argument about whether a bettor is any good is really an argument about sample size. Betting results are noisy enough that a season can tell you very little, and understanding how little is what stops you from firing a good process or trusting a bad one.
Take a bettor with a genuine 2% edge, betting one unit at a time at standard -110 juice. That is a real, respectable edge. Over 500 bets, their expected profit is about 10 units — and the ordinary range of outcomes around it is roughly plus or minus 45 units.
A bettor with a genuine edge is losing money after 500 bets roughly one time in three. Not because they did anything wrong — because 500 bets is a small number.
This is variance: the natural spread of results around what the odds predict. It is not bad luck, it is not a slump, and it is not something that averages out on any timescale a person actually experiences.
| Bets | What it distinguishes | Honest reading |
|---|---|---|
| 50 | Nothing at all | Entertainment |
| 500 | A huge edge from a huge deficit | Still mostly noise |
| 2,000 | A real edge from a real loss | Suggestive |
| 10,000 | Roughly how big the edge is | Meaningful |
Ten thousand bets is several years for most people. That is the actual timescale on which a win-loss record becomes evidence, which is why the field leans so hard on closing line value instead — it is measurable per bet, and it does not need the result.
Run enough tipsters and some will show a great record by chance alone. The winning one is then advertised and the rest are quietly dropped. It is why a screenshot of a good month is worth nothing, and why graded clv over a real sample is the only claim worth taking seriously.
VigWatch publishes its model's losing months as well as its winning ones for exactly this reason. A track record with no bad months in it has either been running for a very short time or is not showing you everything.
VigWatch publishes the model's losing months too — this lesson is why that matters. See a real record, losses included.