Check out the New York Lotto Draw Result for May 17, 2025 . You’ll also find handy stats like odd-even numbers, high-low numbers, number frequency, common number pairs, and other quick statistical analysis and insights to help you explore the trends.
Rank | Frequency | Ball |
---|---|---|
1 | 14 |
41
|
2 | 13 |
51
55
|
3 | 12 |
58
|
4 | 11 |
38
1
40
42
31
|
5 | 10 |
57
34
9
29
50
|
6 | 9 |
44
52
46
15
54
3
48
4
11
5
|
7 | 8 |
32
13
8
47
10
36
49
30
56
18
|
8 | 7 |
39
35
43
|
9 | 6 |
12
19
26
33
14
27
53
2
22
|
10 | 5 |
7
20
23
17
|
11 | 4 |
25
|
12 | 3 |
6
45
59
21
28
16
24
37
|
Pairs | Last Drawn | Interval |
---|---|---|
16
18
|
Apr-13-2024 | 114 |
16
32
|
Feb-01-2023 | 239 |
16
38
|
Feb-01-2020 | 552 |
16
43
|
Apr-20-2022 | 321 |
16
49
|
Oct-11-2023 | 167 |
18
32
|
Oct-09-2024 | 63 |
18
38
|
Dec-11-2024 | 45 |
18
43
|
Jul-15-2023 | 192 |
18
49
|
Oct-26-2024 | 58 |
32
38
|
Apr-24-2024 | 111 |
32
43
|
Feb-12-2025 | 27 |
32
49
|
Jul-24-2024 | 85 |
38
43
|
Mar-03-2021 | 439 |
38
49
|
Feb-26-2025 | 23 |
43
49
|
Apr-10-2024 | 115 |
Triplets | Last Drawn | Interval |
---|---|---|
16
18
32
|
Dec-07-1983 | 4673 |
16
18
38
|
Nov-20-1996 | 2973 |
16
18
43
|
Jan-27-1988 | 4099 |
16
18
49
|
Oct-28-2020 | 475 |
16
32
38
|
Mar-25-1998 | 2833 |
16
32
43
|
Jan-30-1988 | 4098 |
16
32
49
|
Apr-12-2008 | 1784 |
16
38
43
|
Sep-17-2011 | 1426 |
16
38
49
|
Jul-19-2006 | 1965 |
16
43
49
|
Sep-30-2017 | 796 |
18
32
38
|
Dec-14-2016 | 879 |
18
32
43
|
Nov-27-2019 | 571 |
18
32
49
|
Dec-14-2016 | 879 |
18
38
43
|
Sep-13-2000 | 2575 |
18
38
49
|
Dec-14-2016 | 879 |
18
43
49
|
Oct-15-2011 | 1418 |
32
38
43
|
Mar-03-2021 | 439 |
32
38
49
|
Dec-14-2016 | 879 |
32
43
49
|
Feb-17-2018 | 756 |
38
43
49
|
Sep-19-2012 | 1321 |
The dataset consists of 6 values ranging from 16 to 49, with a range of 33. The mean is 32.67, while the median is 35, suggesting the data is negatively skewed (left-tailed). There is no mode, indicating that all values are unique. The standard deviation is 12.22, which reflects how spread out the numbers are from the mean. Overall, the dataset shows a moderate level of dispersion and appears to be negatively skewed (left-tailed).