- 55
- 24
- 63
- 53
- 44
- 19

### Results Details

March 30, 2016 22:59 (2016-03-31 02:59 show UTC)

US Powerball

### Hot and Cold Numbers

View Hot, Cold and Overdue numbers for US Powerball 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 Powerball Number Frequencies

### Next Draw

Next draw date is: **June 3, 2020 22:59** (2020-06-04 02:59 UTC). Follow our account in Twitter to be notified when fresh results and analysis are available. Use US Powerball Numbers Generator to generate numbers for the next draw and test it using our US Powerball Prediction System.

### Results Checker

Check your lottery ticket with US Powerball Results Checker or browse US Powerball 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 | 47.80 | 35.1960 | 9.4965 | 12.6040 | 1.3 | 35.2 ± 19.0 | |

MED_M | 43.50 | 35.9700 | 7.6160 | 7.5300 | 1.0 | 36.0 ± 15.2 | |

RNG_M | 39 | 47.4200 | 11.8599 | 8.4200 | 0.7 | 47.4 ± 23.7 | |

SUM_M | 239 | 175.9800 | 47.4825 | 63.0200 | 1.3 | 176.0 ± 95.0 | |

MINGAP_M | 2 | 3.0600 | 2.2894 | 1.0600 | 0.5 | 3.1 ± 4.6 | |

MAXGAP_M | 20 | 25.1200 | 9.9502 | 5.1200 | 0.5 | 25.1 ± 19.9 | |

SUM_A | 258 | 189.3000 | 47.6630 | 68.7000 | 1.4 | 189.3 ± 95.3 |

Check out detailed US Powerball 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: