- 26
- 22
- 15
- 32
- 1
- 1

### Results Details

September 23, 2022 07:30 (2022-09-23 04:30 GMT) / 53460

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: **September 29, 2023 15:00** (2023-09-29 12:00 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 | 16.17 | 15.8394 | 3.6399 | 0.3272 | 0.1 | 15.8 ± 7.3 | |

MED_M | 16.50 | 16.5108 | 2.4806 | 0.0108 | 0.0 | 16.5 ± 5.0 | |

RNG_M | 31 | 28.6814 | 4.8242 | 2.3186 | 0.5 | 28.7 ± 9.6 | |

SUM_M | 97 | 95.0367 | 21.8392 | 1.9633 | 0.1 | 95.0 ± 43.7 | |

MINGAP_M | 0 | 1.3417 | 0.9301 | 1.3417 | 1.4 | 1.3 ± 1.9 | |

MAXGAP_M | 14 | 12.9408 | 4.0690 | 1.0592 | 0.3 | 12.9 ± 8.1 | |

SUM_A | 97 | 95.0367 | 21.8392 | 1.9633 | 0.1 | 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: