- 5
- 3
- 27
- 33
- 32
- 2

### Results Details

March 26, 2020 15:00 (2020-03-26 12:00 show UTC) / 11865

Gosloto 5/36

### Hot and Cold Numbers

View Hot, Cold and Overdue numbers for Gosloto 5/36 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 Russia Gosloto 5/36 Number Frequencies

### Next Draw

Next draw date is: **April 2, 2020 12:00** (2020-04-02 09:00 UTC). Follow our account in Twitter to be notified when fresh results and analysis are available. Use Gosloto 5/36 Numbers Generator to generate numbers for the next draw and test it using our Gosloto 5/36 Prediction System.

### Results Checker

Check your lottery ticket with Gosloto 5/36 Results Checker or browse Gosloto 5/36 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 | 17 | 15.7873 | 3.6035 | 1.2127 | 0.3 | 15.8 ± 7.2 | |

MED_M | 17.50 | 16.4554 | 2.4822 | 1.0446 | 0.4 | 16.5 ± 5.0 | |

RNG_M | 31 | 28.6307 | 4.8687 | 2.3693 | 0.5 | 28.6 ± 9.7 | |

SUM_M | 102 | 94.7241 | 21.6209 | 7.2759 | 0.3 | 94.7 ± 43.2 | |

MINGAP_M | 1 | 1.3224 | 0.8991 | 0.3224 | 0.4 | 1.3 ± 1.8 | |

MAXGAP_M | 22 | 12.9279 | 4.0827 | 9.0721 | 2.2 | 12.9 ± 8.2 | |

SUM_A | 102 | 94.7241 | 21.6209 | 7.2759 | 0.3 | 94.7 ± 43.2 |

Check out detailed Gosloto 5/36 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: