- 27
- 9
- 2
- 20
- 15
- 1

### Results Details

October 18, 2020 05:30 (2020-10-18 02:30 show UTC) / 20824

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: **October 28, 2020 18:00** (2020-10-28 15:00 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 | 12.33 | 15.8247 | 3.6318 | 3.4914 | 1.0 | 15.8 ± 7.3 | |

MED_M | 14 | 16.5138 | 2.4676 | 2.5138 | 1.0 | 16.5 ± 4.9 | |

RNG_M | 26 | 28.6778 | 4.7953 | 2.6778 | 0.6 | 28.7 ± 9.6 | |

SUM_M | 74 | 94.9482 | 21.7905 | 20.9482 | 1.0 | 94.9 ± 43.6 | |

MINGAP_M | 1 | 1.3342 | 0.9245 | 0.3342 | 0.4 | 1.3 ± 1.8 | |

MAXGAP_M | 7 | 12.9457 | 4.0562 | 5.9457 | 1.5 | 12.9 ± 8.1 | |

SUM_A | 74 | 94.9482 | 21.7905 | 20.9482 | 1.0 | 94.9 ± 43.6 |

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: