update
You can use the deflate tool having many filters to be used from the hit numbers for time period selected and also finding the unhit numbers using filters in the time frame selected.
end update
___________________________________-
Anyone wishing to use the breakdown I posted in a previous blog entry the tools are available for research here at lottery post. The deflate 3 and inspector 3
I am using the inspector 3 here for South Carolina mid day.
|
Classification |
Matches |
Percent |
Matching Combinations |
High/Low: |
||||
|
HHH |
16 |
19.0% |
855 997 786 996 755 676 997 599 597 879 888 755 868 656 575 979 |
|
HHL |
31 |
36.9% |
961 849 553 964 195 826 358 880 489 549 838 645 286 709 529 359 288 608 168 994 485 680 196 089 488 850 095 158 089 950 948 |
|
HLL |
25 |
29.8% |
052 045 126 931 644 046 484 019 362 454 453 053 924 063 540 137 116 325 501 035 510 345 337 226 622 |
|
LLL |
12 |
14.3% |
222 413 041 213 433 330 230 101 112 432 400 132 |
Even/Odd: |
||||
|
EEE |
16 |
19.0% |
222 644 826 880 046 286 484 288 608 400 680 888 488 868 226 622 |
|
EEO |
25 |
29.8% |
849 052 041 045 786 964 126 489 838 645 230 676 362 454 432 168 924 063 540 485 089 850 656 089 948 |
|
EOO |
29 |
34.5% |
855 961 413 358 213 433 996 549 330 101 019 112 453 709 053 529 879 994 196 132 116 325 501 035 510 095 345 158 950 |
|
OOO |
14 |
16.7% |
997 553 195 931 755 997 599 359 597 137 755 575 337 979 |
Take your draw history in a group of choice and copy it. Clear your input box and paste your selection and inspect. This is the
HHL |
31 |
36.9% |
|
|
|
|
961 849 553 964 195 826 358 880 489 549 838 645 286 709 529 359 288 608 168 994 485 680 196 089 488 850 095 158 089 950 948 |
After inspection you will have your even odd breakdown in your selected list that have hit in the time period selected. Compare with your master list to aid you in selection for future draws.
There is also a complete list of stats in the inspector 3 to look over.
|
Classification |
Matches |
Percent |
Matching Combinations |
High/Low: |
||||
|
HHL |
31 |
100.0% |
961 849 553 964 195 826 358 880 489 549 838 645 286 709 529 359 288 608 168 994 485 680 196 089 488 850 095 158 089 950 948 |
Even/Odd: |
||||
|
EEE |
7 |
22.6% |
826 880 286 288 608 680 488 |
|
EEO |
11 |
35.5% |
849 964 489 838 645 168 485 089 850 089 948 |
|
EOO |
10 |
32.3% |
961 358 549 709 529 994 196 095 158 950 |
|
OOO |
3 |
9.7% |
553 195 359 |
Sums: |
Master list
HHL 75 34.1%
055 056 057 058 059 066 067 068 069 077 078 079
088 089 099 155 156 157 158 159 166 167 168 169
177 178 179 188 189 199 255 256 257 258 259 266
267 268 269 277 278 279 288 289 299 355 356 357
358 359 366 367 368 369 377 378 379 388 389 399
455 456 457 458 459 466 467 468 469 477 478 479
488 489 499
Even/Odd:
EEE 9 12.0%
066 068 088 266 268 288 466 468 488
EEO 24 32.0%
056 058 067 069 078 089 166 168 188 256
258 267 269 278 289 366 368 388 456 458
467 469 478 489
EOO 30 40.0%
055 057 059 077 079 099 156 158 167 169
178 189 255 257 259 277 279 299 356 358
367 369 378 389 455 457 459 477 479 499
OOO 12 16.0%
155 157 159 177 179 199 355 357 359 377 379 399
December 2024 November 2024 October 2024 September 2024 August 2024 July 2024 June 2024 May 2024 April 2024 March 2024 February 2024 January 2024 December 2023 November 2023 October 2023 September 2023 August 2023 July 2023 June 2023 May 2023 March 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April 2021 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 April 2016 February 2016 January 2016 December 2015 November 2015 October 2015 July 2015 June 2015 May 2015 March 2015 January 2015 December 2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014 May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 December 2010 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February 2010 January 2010 December 2009 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 March 2009 January 2009 December 2008 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 December 2007 November 2007 October 2007 September 2007 July 2007 June 2007 May 2007 April 2007 March 2007 February 2007 January 2007 December 2006 November 2006 October 2006 September 2006 August 2006 July 2006 June 2006 May 2006 April 2006 March 2006 February 2006 January 2006 December 2005 November 2005 October 2005 September 2005 August 2005 July 2005 June 2005 May 2005 April 2005 March 2005 February 2005 January 2005 December 2004 November 2004 October 2004 September 2004 August 2004 July 2004 June 2004 May 2004