## Latest Results – 2020-01-17

- 17
- 44
- 4
- 40
- 9
- 8
- 34

### Results Details

### Hot and Cold Numbers

View Hot, Cold and Overdue numbers for Gosloto 7/49 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 7/49 Number Frequencies

### Next Draw

Next draw date is: **January 18, 2020 12:30** (2020-01-18 09:30 UTC). Follow our account in Twitter to be notified when fresh results and analysis are available. Use Gosloto 7/49 Numbers Generator to generate numbers for the next draw and test it using our Gosloto 7/49 Prediction System.

### Results Checker

Check your lottery ticket with Gosloto 7/49 Results Checker or browse Gosloto 7/49 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 | 22.29 | 25.1311 | 4.9938 | 2.8453 | 0.6 | 25.1 ± 10.0 | |

MED_M | 24 | 25.0548 | 3.8102 | 1.0548 | 0.3 | 25.1 ± 7.6 | |

RNG_M | 40 | 37.5129 | 6.6826 | 2.4871 | 0.4 | 37.5 ± 13.4 | |

SUM_M | 156 | 175.9174 | 34.9569 | 19.9174 | 0.6 | 175.9 ± 69.9 | |

MINGAP_M | 1 | 1.5244 | 0.8004 | 0.5244 | 0.7 | 1.5 ± 1.6 | |

MAXGAP_M | 17 | 14.5438 | 4.7034 | 2.4562 | 0.5 | 14.5 ± 9.4 | |

SUM_A | 156 | 175.9174 | 34.9569 | 19.9174 | 0.6 | 175.9 ± 69.9 |

Check out detailed Gosloto 7/49 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: