Analyzing Hockey: Through the Big Data and Analytics lens

1
Analyzing Hockey Through the Big Data and
Analytics lens

• https//datasportsgroup.com/

2
Professional sports have been taking advantage of
analytics ever since Moneyball revolutionized the
entire sports industry with sabermetrics. The
statistical tracking truly hit the mainstream
with Oakland As performance, which was made
possible with manual tracking, and the database
is generated. Baseball might have been the first
sport to use data analytics but soccer and
basketball and others were not far off and used
data tracking tech for decision making and even
evolved their process through the years from
manual tracking to automated data tracking to
have a seamless system in place.
3
The applicability of data analytics in other
sports like hockey may have seemed limited at
first but it has blown up as well. When we
discuss hockey, less popular sport compared to
cricket or soccer, but the sport has its own
fanatics. In the world of hockey for the ones who
are unfamiliar with it, players are known to
skate at a speed up to 35 MPH and the puck even
flies up to 100 MPH. To the unenlightened, the
game can have all the earmarks of being too
turbulent. In any case, while groups started
applying new norms of cutting-edge advanced
statistics in the previous ten years, the
combination of innovation and technology is going
to make a huge impact on the NHL.
4
For as long as a decade, the NHL has utilized a
group of analysts called the Hockey Information
Tracking System to log things like a player's
experience on ice, go head-to-head wins, and
other details. The watchword here is a group
stats were followed physically on a proprietary
data entry app by various individuals throughout
the period. NHL has even deployed an automated
data tracking tech which was being developed for
quite a long time and was first openly given a
chance during the 2019 NHL All-Star Game in San
Jose.
5
Extraordinarily manufactured pucks containing
tracking chips, and such devices were also put
into players shoulder braces. Joined with a
number of sensors put around the arena,
unexpectedly the world's quickest sport has
enormous information being gathered during each
snapshot of the game position, speed, bearing,
distance, and other key measurements. Which was a
true challenge in the sports.
6
The big data was thus generated with numerous
data points generated at about 200 times per
second, even more, data points were collected for
five skaters and the goalie of each team
participating in the league, and the match lasted
for about 60 minutes. Now that is a lot of data!
If we look at the numbers in the one-hour match
roughly 9,360,000 logged events for a category
were created in an NHL game. NHLs ability to
create such raw data is a big deal in itself but
with the technological development and emergence
of artificial intelligence the data was analyzed
and valuable insights were drawn as well. The
process of data collection was further
streamlined with the use of AI models that helped
reduce the human error and bias which was
prominent with manual tracking and build a more
robust model.
7
Hockey Analytics is a whole new ball game With
analytics player tracking is made a real
possibility as well as with such a massive amount
of data, the teams statisticians and data
scientists can come up with innovative ways to
develop strategICE hockey stats apiies. Data
Analytics could be used to bag free agent gems
and improve the roster performance it all boils
down to how the data is being utilized to get
results. The same has been possible with field
hockey XML data.
8
Data might primarily be used to improve
performance but it's one other use that has
created a new revenue stream for the clubs from
licensing the data and offering that to
broadcasts. Gambling sites are also improving
their bottom line by using the same data. The
scope of the big data revolution in the sports
industry is still not entirely realized
presently. There is a lot of potential and an
endless amount of innovation and revenue stream
data could unfold. And companies like Data Sports
Group as a sports data provider are taking an
active role in revolutionizing the sports
industry and facilitating many companies to do
the same. Even in sports like Hockey, Big Data
and Analytics have played a significant role in
the advancement of sports.
9
Data Sports Group offers a comprehensive set of
databases from pre-match stats about the teams
and players performance, to a live sports feed
that engages the fans and post-match analysis
with team standings. hockey stats API, ice
hockey XML data could be used to pull specific
data into your platform and with widgets, fan
engagement could be achieved. What are you
waiting for get in touch with the team today!
10
Contact US

• Emai -sales_at_datasportsgroup.com
• Phone - 1 [phone]
• Address - 2600 Kinmere Dr
• City Gastonia
• State - North Carolina
• PIN 28056
• Country - USA