As paprika mentioned in his/her comment, you need to identify the desired parts of any matched text using ()'s to set off the capture groups. To get the contents from within the td tags, change:
<td>[a-zA-Z]+</td><td>[\d]+.[\d]+</td><td>[\d]+</td><td>[\d]+.[\d]+</td>
to:
<td>([a-zA-Z]+)</td><td>([\d]+.[\d]+)</td><td>([\d]+)</td><td>([\d]+.[\d]+)</td>
^^^^^^^^^ ^^^^^^^^^^^ ^^^^^ ^^^^^^^^^^^
group 1 group 2 group 3 group 4
And then access the groups by number. (Just the first line, the line with the '^'s and the one naming the groups are just there to help you see the capture groups as specified by the parentheses.)
dataPattern = re.compile(r"<td>[a-zA-Z]+</td>... etc.")
match = dataPattern.find(htmlstring)
field1 = match.group(1)
field2 = match.group(2)
and so on. But you should know that using re's to crack HTML source is one of the paths toward madness. There are many potential surprises that will lurk in your input HTML, that are perfectly working HTML, but will easily defeat your re:
Libraries like BeautifulSoup, lxml, or even pyparsing will make for more robust web scrapers.