- 28
- 12
- 21
- 18
- 45
- 42

### 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: **December 13, 2019 11:00** (2019-12-13 08:00 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 | 27.67 | 26.0278 | 5.6954 | 1.6389 | 0.3 | 26.0 ± 11.4 | |

MED_M | 28.50 | 26.9167 | 5.2002 | 1.5833 | 0.3 | 26.9 ± 10.4 | |

RNG_M | 33 | 27.5000 | 10.2323 | 5.5000 | 0.5 | 27.5 ± 20.5 | |

SUM_M | 166 | 156.1667 | 34.1726 | 9.8333 | 0.3 | 156.2 ± 68.3 | |

MINGAP_M | 3 | 1 | 0 | 2 | 1 ± 0 | ||

MAXGAP_M | 14 | 12.5000 | 4.8477 | 1.5000 | 0.3 | 12.5 ± 9.7 | |

SUM_A | 166 | 156.1667 | 34.1726 | 9.8333 | 0.3 | 156.2 ± 68.3 |

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: