Main

processing priority

4

site type

3 (personal blog or private political site, e.g. Blogspot, Substack, also small blogs on own domains)

review version

11

html import

20 (imported)

Events

first seen date

2024-08-28 22:44:16

expired found date

-

created at

2024-08-28 22:44:16

updated at

2026-02-27 09:53:37

Domain name statistics

length

26

crc

47705

tld

2211

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

69893241 (blogspot.com)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

137495

mp size raw text

10310

mp inner links count

226

mp inner links status

20 (imported)

Open Graph

title

PTP

description

image

site name

author

updated

2026-02-25 17:50:39

raw text

PTP PTP Friday, August 9, 2024 A Class Dropper Trick I handicapped a race last week and found a class plunger that was going to be well bet, and it got me thinking a little bit about the phenomenon.  From datamining, it becomes pretty apparent that class droppers i) tend to win races at a higher than average level and ii) they're well bet because it's simply a very easy angle that anyone can spot.  In the Skeptical Handicapper, author Barry Meadow illustrated this, where droppers (in purses between 20% and 40%) showed a fairly decent ROI of $0.79. Databases I use show similar. But it's very obvious that it's impossible to make money with this angle.  What we've learned is that not all class drops are the same, so subsetting these horses into live drops versus not live drops is paramount for profit.  One trick I've learned has nothing to do with datamining, and I'll share it with you for those interested.  I like to look at a horse's previous replay at the higher class - ...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Spam (233)

index version

1

spam phrases

1

Text statistics

text nonlatin

0

text cyrillic

6

text characters

7844

text words

1822

text unique words

778

text lines

118

text sentences

101

text paragraphs

39

text words per sentence

18

text matched phrases

0

text matched dictionaries

0

RSS

rss status

32 (unknown)

rss found date

2024-08-29 22:15:07

rss size orig

139988

rss items

25

rss spam phrases

20

rss detected language

1 (English)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)

sitemap review version

2

sitemap urls count

3019

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

3

sitemap found date

2024-08-29 19:39:10

sitemap process date

2024-08-29 19:39:15

sitemap first import date

-

sitemap last import date

-