Repeats vs. model Lotto Plus

Do repeats from the previous draw match the model?

What would you like to check?

Enter or load your numbers in the analyzer. The latest draw report describes the actual draw, not your selection.

Explore all statistics — guided topics

These pages describe the history of this game. They do not predict future numbers. Use the selection tool on a page to compare your own numbers.

Numbers and gaps

Start with frequency and gaps: how often each number appeared in the selected historical sample.

Draw structure

Compare sum, parity, endings and range. On a page with a selection comparison, open it to check your numbers.

Relationships and random model

Explore pairs, triples and partners, then the random model. Historical relationships do not improve future odds.

Draws and tools

Read the latest draw report for the actual drawn numbers. Use the analyzer and matching draws for your own selection.

Game: Lotto Plus
Number pool: 49
Selected range: 7 most recent
Draws in the sample: 7
From: 2026-09-17T20:00:00Z
To: 2026-10-01T20:00:00Z
Latest draw in the sample: 2026-10-01T20:00:00Z
Calculated at: 2026-10-01T23:56:26+02:00
Source: Service draw archive
Freshness: Checking…

Draw range

Repeats of numbers from the previous draw

r is the count of numbers shared between a draw and the one immediately before it. The random model for Lotto Plus (6 of 49) is the hypergeometric distribution — exact, not from a simulation. The first draw in the range has no predecessor, so there are fewer comparisons than draws.

Average number of repeats (N = 7 draws, 7 comparisons)

0,86

model: 0,73

Draws with at least one repeat

85,7%

model: 56,4%

Fit of the distribution to the model

χ² = —

df = — · critical value 5%: —

Observed and expected repeats

Observed = how many draws had exactly r numbers shared with the previous one. Expected = number of comparisons × probability of r in the model.

r	observed	% of draws	expected	% model
0	1	14,3%	3,1	43,6%
1	6	85,7%	2,9	41,3%
2	0	0,0%	0,9	13,2%
3	0	0,0%	0,1	1,8%

What the χ² test says

Too few comparisons to build at least two buckets with an expected count of ≥ 5 — χ² has not been computed.

What it tests: whether the distribution of the repeat count agrees with the hypergeometric one. Buckets with an expected count below 5 are merged into larger ones, df = the number of buckets − 1. What it does not test: anything about specific numbers — the result concerns the shape of the whole distribution only.

Interactive tools

Explore the same data actively. The tools describe history and the random model; they do not predict the next result.

My selection — check its properties against history

This describes the entered selection and its position in the historical sample. It does not increase its chance.

Open the full selection analyzer →

History player — move through past draws

Choose a year, use the slider or start automatic playback. This is a presentation of recorded results, not a forecast.

Year

Open the module to load the available years.

Random-model simulator — see ordinary random variation

Generate independent draws with the rules of this game and compare observed counts with the common expected value. Every run is different.

Number of simulated draws

What do these numbers show?

In 7 draws (7 comparisons with the previous draw) an average of 0,86 numbers repeated, the hypergeometric model gives 0,73 (source: history | model).
At least one number from the previous draw came up in 85,7% of draws, model: 56,4%.

These are historical data. Each draw is independent of previous draws, so these numbers do not tell us what will be drawn next.

How do I use this page?

Choose a number of recent draws or a range of years.
In the table, compare how many times exactly r numbers from the previous draw came up with the count expected in the model.
The χ² value says how far the whole distribution of repeats departed from the model — the larger it is, the larger the divergence.
The comparison with the critical value is indicative and concerns the whole distribution, not any single number.

What this page does not do: it does not point to numbers that will repeat and does not improve your chance of winning.

How to read statistical measures

Random model

The random model assumes every number has the same chance of being drawn each time. We compare results against this model to see whether the history departs from it — not to predict the next draw.

Expected value

The expected value is the average result we'd see if the numbers were fully random, repeated a great many times. Real history almost always differs from it a little — that alone is nothing unusual.

Deviation

Deviation shows how far a value is from what the random model expects, measured in units of typical spread. A value close to zero matches the model; the further from zero, the bigger the difference — but with many numbers compared at once, a few larger deviations are ordinary spread, not a signal.

Percentile

The percentile shows what share of results (from the model or from history) fall below the value being checked. Percentile 80 means about 80% of results fall below it and 20% above — it describes a place in the distribution, not a forecast.

Typicality

Typicality describes how close a value sits to the centre of the model's or history's distribution — typical values happen often, extreme ones rarely. It's a descriptive comparison and says nothing about what the next draw will bring.

Related analyses

Repeats from the previous draw

How many numbers repeated from the previous draw, and how many should?

Fit to the random model

Do the results deviate from the uniform and independent model?

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