- 31
- 9
- 12
- 33
- 26
- 2

### Results Details

September 24, 2022 02:30 (2022-09-23 23:30 GMT) / 53496

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: **December 1, 2022 21:00** (2022-12-01 18:00 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 | 18.83 | 15.8403 | 3.6398 | 2.9930 | 0.8 | 15.8 ± 7.3 | |

MED_M | 17.50 | 16.5112 | 2.4803 | 0.9888 | 0.4 | 16.5 ± 5.0 | |

RNG_M | 31 | 28.6827 | 4.8235 | 2.3173 | 0.5 | 28.7 ± 9.6 | |

SUM_M | 113 | 95.0418 | 21.8390 | 17.9582 | 0.8 | 95.0 ± 43.7 | |

MINGAP_M | 2 | 1.3419 | 0.9300 | 0.6581 | 0.7 | 1.3 ± 1.9 | |

MAXGAP_M | 14 | 12.9411 | 4.0686 | 1.0589 | 0.3 | 12.9 ± 8.1 | |

SUM_A | 113 | 95.0418 | 21.8390 | 17.9582 | 0.8 | 95.0 ± 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: