Data is Power – Cricket World Cup 2019 India & Australia


Hey everyone, welcome to the first video of
our series “Data is Power”. In a single line, “Data is power” is a
series to analyse data and verify facts about day to day situations. To analyse data, the most common platform
used is python and R, we will be using a custom developed software. Before starting we wish to state that we do
not intend to harm or dis-respect anyone’s feelings through this, if by chance we end
up doing that, please feel free to let us know and we shall look to rectify the same. Our topic for today is, the recently concluded
Mens Cricket World Cup 2019. We here look to analyse the performance of
Team India and Team Australia in the group stages. Our aim is to use the data available in public
domain to burst myths & present facts of World Cup 2019. The data used by us is referred from this
excel where each row signifies a delivery/ball bowled in the world cup group stages, I will
try and attach the link to this in the description. I have already imported the data and created
the dashboard. I will also be creating a separate video on
making this dashboard soon. So Let’s load our dashboard. Here you can see 5 tabs. Team Overview gives us an overview of a team’s
performance. Analysis by Batting Position gives us an analysis
of how the batsmen at various orders like top order, middle order and lower order, have
performed. Analysis by Overs gives us an insight on the
teams progression during a match duration. Player Analysis will show us & analyse the
contribution of a player towards the team. Team face-off will compare performance of
2 teams. So here we present, Team India. We notice that on an average all players put
together scored 48.41 runs with a strike rate of 92.91. India played 8 matches, out of which India
won 7 matches. giving them a win percentage of 87.5. Interestingly India was batting first in 5
matches and won all of them. The scores for India ranged from 217 to 342
runs, with the highest contributor being Rohit Sharma, followed by Virat Kohli and KL Rahul. Now moving to Australia, Australia players
have scored at an average of 38.64 with a strike rate of 95.61. They played 9 matches and won 7 out of them. Their scores ranged from 192 to 369, with
David Warner been their highest contributor. Interestingly, Australia also won all their
matches batting first. Moving on to the next tab, we will now look
to analyse the performance by batting position. This graph here represents the average of
players at different batting positions. Corresponding graph to the right represents
the strike rate of batsman at different batting position. The graphs below represents the average and
strike rate of the players. Let’s slice the data to look at the top
order. So the top order of India consisted of Rohit
Sharma, Virat Kohli, KL Rahul and Shikhar Dhawan. An overall look here says that India’s top
order has performed with a really good average and strike rate, with Rohit Sharma being the
best of the lot. The interesting part is in the middle order. The strike rates of all batsman looks good,
nothing major to worry about. India used as many as 7 batsman in the middle
order, with number 4 and 5 not being up to the mark. However, number 6 batsman did perform well. Moving to Australia top order, the top order
performed well here to, the exception being Number 3, unfortunately Steve Smith didn’t
really have a good World Cup according to his standards. Australia didn’t really have a good middle
order, but a huge plus for Australia is number 7 batsman, Alex Carrey. He had an exceptional world cup with an average
of 82.25 and strike rate of 112.29. Moving to the next tab, we will analyse the
performance of teams by Session. Team India had a really good climb of runs
in each session, with a slight dip seen in Session 4. If we have a look at the number wickets lost
in each session, India lost a number of wickets in session 4 and 5, leading to the dip seen
earlier. This again highlights the problems in the
middle order for India. The strike rates in all sessions looks healthy
and increasing. Looking at the contribution of players in
each sessions. In session 1, Rohit Sharma was the highest
contributor. In session 2, Rohit Sharma and KL Rahul were
the highest contributor. In session 3, the situation remains the same,
highlighting a string top order and also raising concerns to less exposure of the middle order. In session 4, Virat Kohli & Rohit Sharma were
the highest contributors. In session 5, MS Dhoni and Hardik Pandya were
the highest contributor. Highlighting here, Dhoni more often than not
batted at number 6, so no real contribution is seen from number 4. Looking at Australia, they had a really good
climb in all sessions, in terms of both runs and strike rate. They also lost a lot of wickets in session
5 mainly, but this did not hamper their strike rate. In terms of contribution to each session by
players. Finch takes the first session. David Warner was the highlight of session
2. David Warner continued to contribute in session
3, with Alex Carey also contributing. Session 4 was shared by quite a few players,
namely, Warner, Smith and Khwaja. Alex Carey, contributed to session 5 again,
with good amount of support from Khwaja & Maxwell. Let’s now move to analyse the performance
of individual players. We’ll try to cover Rohit Sharma, Virat Kohli
and MS Dhoni from India. From Australia, well try to cover Warner,
Smith and Alex Carey. Starting with Rohit Sharma, being the highest
run scorer with 647 runs from 665 balls. Apart from 2 matches, Rohit Sharma has 50+
scores in all matches, 5 of them being 100+. Rohit Sharma has been bowled once and caught
6 times. Moving to Virat, 442 runs scored of 472 balls,
with a really good strike rate across sessions. Virat had 5, 50+ session but none of them
converting to 100, which can also be due to the reason that he came in very late and didn’t
have enough time to convert. This can be verified by seeing that Virat
has been dismissed all times by playing into the hand of fielders. Dhoni batted at positions 5 and 6, scoring
223 runs from 245 deliveries. He has a really low strike rate in Session
3, but picking up in Session 4 and 5. This is because, after Dhoni there was no
proper batsman left, so his job might have been to ensure that the lower order is not
exposed . Hence, ensuring caution and then looking to
accelerate. Looking at Australia’s David Warner, the
second highest scorer of the tournament, with 638 runs from 729 balls. He had a really good start to the tournament,
with 2, 50+ scores and 3, 100+ scores in the first matches, but unfortunately this dipped
in the latter half of the tournament. One highlight for David Warner, he had a whopping
250+ strike rate in overs 40 to 50. Steve Smith, scored 294 runs out of 337 deliveries. He didn’t have a great start to the tournament,
but started to pick up somewhere in the middle. The strike rates were good and rising across
sessions. Alex Carey, scored 329 runs out of 293 balls,
with a consistingly increasing strike rate. Alex Carey had a good start and end to the
tournament, but had a dip in the middle. One highlight here is Alex Carey was caught
3 times, run out once and bowled once, which contributes to a total of 5 dismissals out
of 8 matches. This explains the high average of the batsman
what we saw earlier. The team face-off tab is used to analyse the
performance of teams in a side by side dashboard, the information displayed here is already
discussed in previous tabs. So we will skip this.

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