- 14
- 7
- 2
- 3
- 33
- 1

### Results Details

May 23, 2020 11:00 (2020-05-23 08:00 show UTC) / 13978

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: **June 6, 2020 12:00** (2020-06-06 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 | 10 | 15.8178 | 3.6138 | 5.8178 | 1.6 | 15.8 ± 7.2 | |

MED_M | 17 | 16.4769 | 2.4699 | 0.5231 | 0.2 | 16.5 ± 4.9 | |

RNG_M | 32 | 28.6321 | 4.8437 | 3.3679 | 0.7 | 28.6 ± 9.7 | |

SUM_M | 60 | 94.9070 | 21.6828 | 34.9070 | 1.6 | 94.9 ± 43.4 | |

MINGAP_M | 1 | 1.3267 | 0.9110 | 0.3267 | 0.4 | 1.3 ± 1.8 | |

MAXGAP_M | 19 | 12.9101 | 4.0785 | 6.0899 | 1.5 | 12.9 ± 8.2 | |

SUM_A | 60 | 94.9070 | 21.6828 | 34.9070 | 1.6 | 94.9 ± 43.4 |

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: