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Cash4Life · draw

Monday, 4 May 2015

ResultCash4Life

Single source
  1. 3
  2. 5
  3. 21
  4. 30
  5. 60
  6. 4

Top prizeNot wonnext draw advertised at

Rules5/60 + 1/4 · since May 2015draw 1 of 2,862 under them

First on recordAll recent draws2015-05-07 →

Where this result came from

SourcesOnly Primary (commercial feed) reported this draw, so there is nothing to check it against. Settled 29 Aug 2026, 09:40 UTC.

  • Primarycommercial feed3 5 21 30 60 + 429 Aug 2026, 09:28 UTC

This draw, read by every tool

What the site’s explorations say about the numbers drawn on 4 May 2015 — each beside what chance predicted. None of it says anything about the next draw.

37oddordinary

How ordinary this draw is

Scored 37 of 100 across six shape features — more typical than about 17% of every possible ticket.

  • sum19th
  • odd66th
  • low90th
  • widest gap89th
  • neighbours35th
  • spread98th
Draw Fingerprints →

Each number, as it stood before this draw

Times drawn before — chance expected 0 of each

30times
50times
210times
300times
60

Play these numbers? Read them as your ticket →

0times
Stars · a separate 1-of-4 machine

Times drawn before — chance expected 0 of each

40times

Every number was expected about that many times after 0 draws, and they scatter around it. Warm means more than expected, cool means fewer — and a cold number arriving is exactly what cold numbers do.

Frequency Explorer →

Its nearest twin

No earlier draws to compare against yet.

Carry-over / Déjà Vu →

Sum and shape

119

The numbers add up to 119 — the 19th percentile of all possible tickets, around a middle of 153. No two numbers side by side. 30% of draws have at least one such pair.

Sum Distribution →

The longest wait in this draw

Every number here is appearing for the first time.

Gap & “Overdue” Tracker →

How many people held it

A line like this is played about 1.9× as often as an average ticket — more popular than most. At 30 million tickets sold, a winner on these numbers would keep about 10% of the jackpot.

Illustrative model, calibrated to published studies — not live sales.

The Unpopular Numbers Edge →