February 9, 2012, Hockey Recap:
Rio Grande Valley rolls over Laredo, 6-3

The Rio Grande Valley Killer Bees were firing on all cylinders against the Laredo Bucks, and when the final
buzzer sounded Killer Bees emerged with a 6-3 win.

Zac Pearson was all over the ice for Rio Grande Valley, as he tallied two goals and one assist in the win.
Pearson scored the first of his two goals at 5:23 into the first period to make the score 1-0 Rio Grande Valley.
Brandon Campos picked up the assist. Pearson's next tally made the score 2-0 Rio Grande Valley with 12:44
left in the first period. David Marshall assisted on the tally.

The punch line…
Special teams units factored heavily in the game's outcome, as there were 14 penalties called on the two
teams. The busiest period in the sin bins was the first period, which saw 18 minutes of penalty time combined
between the two teams.

The Killer Bees' goal total was higher than their season average. Rio Grande Valley averages two goals per
game. The Killer Bees could not stay out of the penalty box, as the team accrued 17 minutes in penalties
during the game. The leading offender was Jason Beeman, who totaled five minutes in penalty time with one
major. With 48 shots on target during the contest, Rio Grande Valley exceeded the 22 shots it averages per
game this year.

Rio Grande Valley additionally got points from Aaron Lee, who had one goal and one assist, Marshall, who
registered one goal and two assists, and Dan Gendur, who racked up one goal and one assist. Dan Nicholls
also scored for Rio Grande Valley. Others to record assists for Rio Grande Valley were AJ Mikkelsen, who had
two and Adam Bartholomay and Marc-Andre Carre, who each chipped in one.

Transformingin penalty trouble, as it ended withnine minors and penalty time with two minorspenalty time.
Laredo was often
Data Justin Styffe, who totaled six minutes in one major for 17 minutes in and one
The leading offender was
into Stories

How does it work?

The Data The Facts The Angles The Structure

Stats Tests Calls
T/F

Language


Start with sports
Finance


Start with sports
Real Estate


Configurable horizontal platform

The Data The Facts The Angles The Structure

For each new content type we ask:
Stats Tests Calls
T/F

– What is the data?
– What facts can be derived from the data?
– What are the angles?
– How is the story structured?
– Finally, how do we say it? Language


A partnership between engineering
and editorial


From the engineer’s perspective


From the writer’s perspective


The Outline


The Data


The Derivations


The Angles


The Structure


Big Data


The Notebook


“I don’t need a shelf full of folders…
I just need a two paragraph summary of the
stuff that is important for me.”


In story form…

“We collect everything on how each account
is
performing. But we only have the people
to explain it to our ten biggest customers.”
“You don’t get the game from the stats.
You get the game from the story they tell.”

“If we could spend a half hour each week with
each of our students and their results, we
could improve all of their grades.”

Transforming Data into Stories 21

Performance reporting


Education


The story is the last mile in
understanding Big Data


Real Estate
Pharma Sales

Politics Finance
Sports

Wherever there is data, we can tell
the story


What about the unstructured world?


We track it and tag it


We structure it


And use it to write stories


We Transform Data into
Stories are the bridge between numbers
and knowing.
Stories and Insight


Kristian J. Hammond
Narrative Science
@whisperspace 34

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