Data is in <script> between data: and queue: in JSON format.

You can use standard string functions (ie. find(), slicing) to cut off this part.
And then you can use module json to convert to python dictionary.
And then you have to only find where moneyLine is in this dictionary.

scrapy shell 'http://www.espn.com/nfl/schedule/_/week/1'

# get `<script>` as text
items = response.xpath("//script[contains(., 'moneyLine')]/text()")
txt = items.extract_first()

# find start and end of data 
#(I found this manually checking txt)
start = txt.find('data:') + 6 # manually found how many add to get correct JSON string
end = txt.find('queue:') - 6  # manually found how many substract to get correct JSON string

json_string = txt[start:end]

# convert to python dictionary
import json
data = json.loads(json_string)

# example data 
#(I found this manually using `data.keys(), data['sports'][0].keys(), etc.)
data['sports'][0]['leagues'][0]['events'][0]['odds']['home']['moneyLine']