## Latest Results – 2020-01-16

- 1
- 9
- 25
- 38
- 57
- 2

### Results Details

January 16, 2020 00:00 (2020-01-16 05:00 show UTC)

Cash4Life

### Hot and Cold Numbers

View Hot, Cold and Overdue numbers for Cash4Life based on latest 4 weeks, 12 weeks, half a year, year to date or last 30 draws, last 50 draws, last 100 draws.

You can also find detailed number statistcs in Cash4Life Number Frequencies

### Next Draw

Next draw date is: **January 20, 2020 21:00** (2020-01-21 02:00 UTC). Follow our account in Twitter to be notified when fresh results and analysis are available. Use Cash4Life Numbers Generator to generate numbers for the next draw and test it using our Cash4Life Prediction System.

### Results Checker

Check your lottery ticket with Cash4Life Results Checker or browse Cash4Life Recent Results.

## Results Analysis

Click on the feature code to view feature chart.

Code | Value | Predicted Correctly | Statistics after draw | Deviation | xSSD | Prediction for next draw | |
---|---|---|---|---|---|---|---|

MEAN | SSD | ||||||

MEAN_M | 26 | 30.3343 | 7.4131 | 4.3343 | 0.6 | 30.3 ± 14.8 | |

MED_M | 29 | 30.2629 | 6.1641 | 1.2629 | 0.2 | 30.3 ± 12.3 | |

RNG_M | 56 | 40.7418 | 10.4941 | 15.2582 | 1.5 | 40.7 ± 21.0 | |

SUM_M | 130 | 151.6714 | 37.0653 | 21.6714 | 0.6 | 151.7 ± 74.1 | |

MINGAP_M | 8 | 2.8560 | 2.0190 | 5.1440 | 2.5 | 2.9 ± 4.0 | |

MAXGAP_M | 19 | 20.8372 | 7.3454 | 1.8372 | 0.3 | 20.8 ± 14.7 | |

SUM_A | 132 | 154.1753 | 37.0957 | 22.1753 | 0.6 | 154.2 ± 74.2 |

Check out detailed Cash4Life Predictions page

### Analysis Explanation

After each draw we calculate values for a number of features we analyze for the game. Each feature is a random value itself and we calculate statistics for them. We calculate expected value (**MEAN**) and sample standard deviation (**SSD**). more info

Also for each value we present how current result is correlate with feature statistics. **Deviation** is the absolute value of the result and mean difference. **xSSD** is deviation to SSD ratio.

xSSD shows to what area of bell shaped curve the result belongs. Assuming that each feature is distributed under normal distribution law the following is true: 68% of results lies within MEAN±SSD interval, 95% – MEAN±2*SSD and 99.7% of all results within MEAN±3*SSD (see illustration below):

Feature codes are as following: