PhD candidate David Radke, Professor Tim Brecht, and their colleague (and David’s brother) Daniel Radke have received the best research paper award at LINHAC 2022, the Linköping Hockey Analytics Conference held in Sweden.
In
their
paper,
“Identifying
completed
pass
types
and
improving
passing
lane
models,”
the
research
team
developed
a
mathematical
model
that
uses
puck-and-player
tracking
data
to
classify
different
types
of
completed
passes
and
to
determine
the
availability
of
potential
pass
receivers
using
data
from
198
National
Hockey
League
games.
This
new
NHL
puck-and-player
tracking
system,
an
analysis
of
the
kinds
of
passes
that
can
be
extracted
from
it,
and
the
model
built
to
determine
the
size
of
passing
lanes
for
completed
direct
and
indirect
passes
have
the
promise
to
revolutionize
hockey
analytics,
with
implications
for
scouting,
coaching,
player
development
and
fan
engagement.
To
learn
more
about
the
research
featured
in
this
article,
please
see
David
Radke,
Tim
Brecht,
Daniel
Radke.
Identifying
Completed
Pass
Types
and
Improving
Passing
Lane
Models.
Linköping
Hockey
Analytics
Conference
(LINHAC
2022),
June
6–8,
2022,
Linköping,
Sweden.
Please
also
see
the
paper
synposis
at
https://cs.uwaterloo.ca/~dtradke/linhac22_lp.html and
David’s
conference
presentation
video
below.