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Documented lottery wins map

Explore sourced historical wins, filter the table and open the map. Then take 10 lessons on reading geographic data. This is an editorial selection, not a complete archive.

Documented historical examples

Editorial selection of three historical wins, checked on 13 October 2026. This is not a complete register or a current ranking. Markers are reference locations, not winning retailers or private addresses. The Krotoszyn marker represents the county, whose exact winning town was not disclosed.

Records: 3

Loading the map sends your IP address to the OpenStreetMap tile provider. The table works without this connection.

Selected wins — reported gross amounts in PLN
LocationDrawGameAmountSource
Krotoszyn County2022-08-12Eurojackpot213,584,986 PLNTotalizator Sportowy
Skrzyszów (Tarnów County)2017-03-16Lotto36,726,210.20 PLNTotalizator Sportowy / WP
Ziębice2015-08-22Lotto35,234,116.20 PLNTVN24

Location references: Krotoszyn, Ziębice, Skrzyszów.

What do these numbers show?
  • These lessons describe mathematical models and selected data. They do not identify numbers or places more likely to win.

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. Read a lesson and its worked example.
  2. Enter an answer, check it and compare the solution steps.
  3. Generate another exercise or take the 10-question test.

What this page does not do: predict future lottery outcomes.

Course: 10 lessons

  1. What a marker means
  2. Online wins
  3. Amounts and scale
  4. Comparing counts
  5. Date and game filters
  6. Duplicate events
  7. Average prize
  8. Missing locations
  9. The comparison denominator
  10. Sources and coverage

For non-terminating decimals, round to three decimal places or enter a fraction such as 1/3.

Optional local storage only. No account or server submission. Turn off to remove saved progress.

1. What a marker means

A marker represents a published event, not a winner’s home. If only a county is published, a reference point is placed near its seat.

Worked example

Two prizes in one town are two events. Exercise counts are fictional teaching data, not actual results.

Watch out

Do not interpret a reference point as the purchase address.

2. Online wins

An online win without a published location belongs in the table, not an arbitrary city. No marker does not mean no win.

Worked example

In an example dataset, 2 online wins out of 20 records are 10%.

Watch out

Do not infer winners’ private locations.

3. Amounts and scale

Compare amounts in the same currency and unit. A million is 1,000,000. The table shows the amount reported by the source.

Worked example

PLN 3.5 million = PLN 3,500,000.

Watch out

Gross prizes are not take-home amounts. This section does not calculate tax.

4. Comparing counts

A count difference describes events in this dataset. It does not automatically describe the chance per ticket.

Worked example

Example: 8 records in A and 3 in B differ by 5.

Watch out

More tickets sold can yield more wins without changing the chance per ticket.

5. Date and game filters

A filter changes the visible dataset. Count, table and map must use the same conditions. The date is the draw date reported in the source.

Worked example

Selecting 2020 must exclude a 2021 record.

Watch out

An article’s publication date may be later than the draw date.

6. Duplicate events

The same announcement can appear on several sites. Count each win once using game, date and event identity.

Worked example

Two articles about one win do not create two winners.

Watch out

Equal amounts alone do not prove duplication; separate prizes can match.

7. Average prize

The mean of published records describes only those records. A selection of large prizes does not represent all tickets.

Worked example

Example prizes of 2 and 8 million average 5 million.

Watch out

Do not call this the expected payout of a purchased ticket.

8. Missing locations

Separate record count from marker count. A record may lack coordinates, and several records may share a location.

Worked example

7 records, 2 without a location: 5 can be located.

Watch out

A blank area is not evidence that nobody ever won there.

9. The comparison denominator

Comparing win rates requires ticket counts and matching coverage. Map counts do not provide that denominator.

Worked example

Example: 5 wins per 500 tickets equals 1 per 100. This is arithmetic practice, not game data.

Watch out

Population is not a substitute for tickets sold.

10. Sources and coverage

Check each record’s source, date and location precision. A selection of documented examples is not a complete register.

Worked example

Verifying 4 of 20 records gives 20% verification coverage.

Watch out

Do not use an incomplete map to rank lucky cities or forecast wins.

Final test: 10 questions

One new question from each lesson. No time limit. Answers and explanations appear after the test. You may stop and restart.

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