- 20
- 9
- 27
- 3
- 30
- 2

### Results Details

December 1, 2022 17:45 (2022-12-01 14:45 GMT) / 59166

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 10 draws, 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: **February 5, 2023 12:00** (2023-02-05 09:00 GMT). 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 | 15.17 | 15.8553 | 3.6377 | 0.6886 | 0.2 | 15.9 ± 7.3 | |

MED_M | 16 | 16.5163 | 2.4730 | 0.5163 | 0.2 | 16.5 ± 4.9 | |

RNG_M | 28 | 28.6967 | 4.8126 | 0.6967 | 0.1 | 28.7 ± 9.6 | |

SUM_M | 91 | 95.1317 | 21.8263 | 4.1317 | 0.2 | 95.1 ± 43.7 | |

MINGAP_M | 1 | 1.3436 | 0.9297 | 0.3436 | 0.4 | 1.3 ± 1.9 | |

MAXGAP_M | 11 | 12.9406 | 4.0603 | 1.9406 | 0.5 | 12.9 ± 8.1 | |

SUM_A | 91 | 95.1317 | 21.8263 | 4.1317 | 0.2 | 95.1 ± 43.7 |

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: