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Draw sum Lotto

Which sum comes up most often, and was the latest draw typical?

Draws in the sample
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Data calculated
2026-09-16T12:31:06+02:00
What do these numbers show?
  • The average sum across 50 draws is 145.8, while the model gives 150 — a difference of 4.2, with a model standard deviation of 32.787.
  • The last sum, 186, is at percentile 85.7 of the model: this percentage of possible combinations has a smaller sum.

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?
  1. Choose the number of recent draws or a range of years.
  2. Compare the historical average sum with the model average.
  3. Use the tables to check how often each sum occurred.
  4. The percentile tells you what percentage of sums is smaller than the specified value.

What this page does not do: does not predict future results or increase the chance of winning.

Sum of numbers in a draw

Sum of all 6 drawn numbers. The random model gives an exact distribution of this sum for Lotto — calculated from all possible combinations, not from a simulation.

Average sum in the range (N = 50)

145.8

model: 150, model deviation 32.787

Sum of the last draw

186

historical percentile: 90% · model: 85.7%

Range of possible sums in this game

21–279

in the range, sums from 86 to 203

Histogram of sums in the range

Horizontal axis: draw sum. Vertical axis: number of hits, i.e. how many times this sum occurred in 50 draws.

2 0 hits draw sum sum 86 — 1 hits out of 50 draws 86 sum 89 — 1 hits out of 50 draws sum 97 — 1 hits out of 50 draws sum 107 — 1 hits out of 50 draws sum 108 — 1 hits out of 50 draws 108 sum 112 — 1 hits out of 50 draws sum 116 — 2 hits out of 50 draws sum 118 — 2 hits out of 50 draws sum 120 — 1 hits out of 50 draws 120 sum 122 — 1 hits out of 50 draws sum 124 — 1 hits out of 50 draws sum 126 — 1 hits out of 50 draws sum 132 — 1 hits out of 50 draws 132 sum 134 — 1 hits out of 50 draws sum 135 — 2 hits out of 50 draws sum 136 — 1 hits out of 50 draws sum 140 — 2 hits out of 50 draws 140 sum 143 — 2 hits out of 50 draws sum 145 — 1 hits out of 50 draws sum 147 — 1 hits out of 50 draws sum 148 — 2 hits out of 50 draws 148 sum 149 — 2 hits out of 50 draws sum 150 — 2 hits out of 50 draws sum 154 — 1 hits out of 50 draws sum 157 — 1 hits out of 50 draws 157 sum 162 — 1 hits out of 50 draws sum 163 — 2 hits out of 50 draws sum 164 — 1 hits out of 50 draws sum 165 — 1 hits out of 50 draws 165 sum 169 — 1 hits out of 50 draws sum 170 — 1 hits out of 50 draws sum 172 — 1 hits out of 50 draws sum 174 — 2 hits out of 50 draws 174 sum 180 — 1 hits out of 50 draws sum 183 — 1 hits out of 50 draws sum 186 — 2 hits out of 50 draws sum 189 — 1 hits out of 50 draws 189 sum 194 — 1 hits out of 50 draws sum 203 — 1 hits out of 50 draws

Most frequent sums in the range

Observed = how many times the sum occurred in N draws. Expected = N × probability of this sum in the model.

sumobserved% of drawsexpected
116 2 4.0% 0.4
118 2 4.0% 0.4
135 2 4.0% 0.5
140 2 4.0% 0.6
143 2 4.0% 0.6
148 2 4.0% 0.6
149 2 4.0% 0.6
150 2 4.0% 0.6
163 2 4.0% 0.6
174 2 4.0% 0.5

Distribution of sums by interval

History next to the model, in intervals of twelve sum points each. The table shows the number of draws and the model share in each interval.

intervalobserved% history% model

Does the sum depend on previous draws

Autocorrelation of sums for lags of 1–3 draws, calculated in the range (50 draws). A value outside ±0.2772 would be unusual for a sequence of independent draws.

lagcorrelation
1 draw-0.0726
2 draws0.2306
3 draws-0.0263

The coefficients describe the relationship between sums separated by 1–3 draws. No detected dependence does not prove independence.

Related analyses

Range

How far apart were the smallest and largest numbers?

Even and odd

Which even/odd splits have occurred and how often should they?

Sum autocorrelation

Does a draw's sum depend on the sums of previous draws?

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