- 20
- 3
- 37
- 29
- 45
- 40

### Results Details

### Hot and Cold Numbers

View Hot, Cold and Overdue numbers for Gosloto 6/45 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 6/45 Number Frequencies

### Next Draw

Next draw date is: **July 9, 2020 23:00** (2020-07-09 20:00 UTC). Follow our account in Twitter to be notified when fresh results and analysis are available. Use Gosloto 6/45 Numbers Generator to generate numbers for the next draw and test it using our Gosloto 6/45 Prediction System.

### Results Checker

Check your lottery ticket with Gosloto 6/45 Results Checker or browse Gosloto 6/45 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 | 29 | 23.0100 | 5.0243 | 5.9900 | 1.2 | 23.0 ± 10.0 | |

MED_M | 24 | 22.9663 | 4.0264 | 1.0337 | 0.3 | 23.0 ± 8.1 | |

RNG_M | 42 | 32.7740 | 6.9032 | 9.2260 | 1.3 | 32.8 ± 13.8 | |

SUM_M | 174 | 138.0598 | 30.1459 | 35.9402 | 1.2 | 138.1 ± 60.3 | |

MINGAP_M | 3 | 1.7511 | 1.0140 | 1.2489 | 1.2 | 1.8 ± 2.0 | |

MAXGAP_M | 17 | 14.3631 | 4.8596 | 2.6369 | 0.5 | 14.4 ± 9.7 | |

SUM_A | 174 | 138.0598 | 30.1459 | 35.9402 | 1.2 | 138.1 ± 60.3 |

Check out detailed Gosloto 6/45 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: