This blog is continuation to my previous blog – ICC T20 Cricket World Cup Group 1 Matches Analysis using SAP Lumira. Please check my previous blog for an introduction about the ICC T20 Cricket World Cup Groups and team division. This blog analyses the performance of teams in Group 2 matches. Below table shows the teams in Group 2, sorted  according to their position in the group after playing all group level matches.

ICC-T20-points Group2.PNG

(Source: ESPN Cricinfo)

Now I would drill down the above table into a graphical format which shows how each team in the group scored runs against other group teams in all over categories.

ICC NewZealand batting.PNG

In the above graph, the base axis shows that NZ team was batting first, played all 20 overs and won all matches against the Group 2 teams. As expected, NZ team scored most of their runs in the final overs.

ICC India batting.PNG

The above graph shows that India won 3 group matches and lost a match with NZ team. Also from the above graph colour contrast we can say that the match with Pakistan had less number of overs in power play because of rain.

ICC Australia batting.PNG

The above scoring graph shows that Australia won 2 matches and lost 2 matches. It scored relatively more runs in the power play (initial) overs.

ICC Pakistan batting.PNG

Pakistan won only one match against Bangladesh and in the match with India the number of overs played was affected because of rain.

ICC Bangladesh batting.PNG

Bangladesh lost against all teams in the group. We analyse details in the following graphs.

Now lets analyse Group 2 matches in detail, particularly the performance of each winning team in the group. NZ team is in top position in the group as it won all the group level matches.

New Zealand Winning Matches Analysis

ICC Avg Runs Wickets NewZealand.PNG

The above graph is New Zealand Team Performance graph (Wickets (Bar Chart) and Average Runs (Line chart) by Over Category). Graph shows that they maintained good average runs per ball rate through all over categories in all matches. In the over category 4 in-spite of losing wickets they managed a good average runs per ball value. Their strategy might be to keep wickets till final overs, then accelerate  to post a good score for opponent teams to chase.

ICC-T20-NZ-IND.png

The above graph shows India team performance with NZ team. First graph in this section shows that New Zealand while playing with India maintained average runs/ball value of about 1 till first 10 overs, then accelerated a bit for the last 10 overs.  India on the other hand lost 6 wickets in the first 10 overs, their average runs per ball was below 1 in all over categories and could not maintain the required runs per ball value to chase the target set by the New Zealand team.

ICC-T20-NZ-AUS.png

In the match with Australia, first graph in this section shows that first New Zealand started well with an average run/ball value of nearly one and half but the value dipped in the over category 2&3 and lost 4 wickets during that time. Then in over category 4 they again raised the average run/ball to about one and half in-spite of losing 4 wickets in that over category.  Australia while chasing started well with average run/ball value of about one and half, then in over category 2 dipped the value to below 1. In over category 3 they managed to raise the value to above 1 but could not manage to accelerate in the final over category 4 and chase the target total as they lost 5 wickets in that over category.

ICC-T20-NZ-PAK.png

Even in the match with Pakistan, first graph in this section shows that New Zealand started well with an average run/ball value of nearly one and half. The value dipped in the over category 2 to about 1 but accelerated in the final 10 overs and reached to about 2 in the over category 4. The above graph shows that Pakistan while chasing started well with average run/ball value of about 2 but dipped to a value of 1 in category 2 and almost remained flat till end of the match in-spite of not losing many wickets during that time. They haven’t accelerated enough in the final overs and lost the match.

ICC-T20-NZ-BAN.png

With Bangladesh, New Zealand batting first started with average run/ball value of above 1, then a little bit in over category 2. The first graph in this section shows that in over category 3&4 they accelerated and reached  average run/ball value of about one and half in the category 4 in-spiteof losing 5 wickets during that over category. Bangladesh started with average run/ball value of below 1 and kept losing wickets in all over categories. By over category 3 they overall lost 9 wickets and finally lost all wickets by 15.4 overs and lost the match.

Now lets analyse the performance of India Team, which is in 2nd position in the Group.

India Winning Matches Analysis

ICC Avg Runs Wickets India.PNG

The above graph is India Team Performance graph (Wickets (Bar Chart) and Average Runs (Line chart) by Over Category). Graphs show that India was losing many wickets in the power plays (Over category 1) except for the match with Bangladesh. India overall maintained a good average runs per ball rate in the last 10 overs ( Over category 3 & 4).

ICC-T20-IND-AUS.png

In India Vs Australia match, Australia batted first and started well with average run/ball value of above one and half. Then the value dipped to 1 in category 2, then accelerated slowly in category 3 & 4 and reached to about one and half in category 4. On the other hand, the first graph in this section shows that India while chasing, started with average run/ball value of 1 and slowly increased the value till category 3. Then gave a full throttle in the category 4 with a value of about two and half and chased down the total in 19.1 overs.

ICC-T20-IND-PAK.png

The match with Pakistan was limited to 18 overs because of rain.  In that match, Pakistan batted first and started with an average run/ball value of below 1. They slowly raised the value and in the category 3 & 4 accelerated the value to above 1. The first graph in this section shows that even India while chasing started with an average run/ball value of below 1 and lost 3 wickets in the over category 1. But they picked up momentum in the later over categories and maintained a value of above one and half in the categories 3 & 4 and chased down the total in 15.5 overs ( match limited to 18 overs).

ICC-T20-IND-BAN.png

With Bangladesh, India batted first and maintained an average run/ball value of above 1 in the category 1. First graph in this section shows that in category 2 there was a dip in the value and in category 3 there was a sharp rise in value to nearly 2. Later in category 4 the value dropped to almost 1, may be because of loss of 4 wickets. Bangladesh while chasing started well and maintained an average run/ball value of about one and half in the first two over categories. Then in category 3 the value dropped to just below 1, may be because of loss of wickets but in category 4 they managed to rise the value to nearly one and half in-spite of losing 4 wickets. This was a close match and India won by a run on the last ball.

Australia stood third position in the Group 2.

Australia Winning Matches Performance

ICC Avg Runs Wickets Australia.PNG

The above graph is Australia Team Performance graph (Wickets (Bar Chart) and Average Runs (Line chart) by Over Category). Australia lost most of their wickets in the final overs. Overall they maintained a good average runs per ball rate in all the group matches. With New Zealand they scored less runs in the over category 2.

ICC-T20-AUS-PAK.png

In the match with Pakistan, Australia batted first and started well with an average run/ball value of about one and half. First graph in this section shows that in category 2 the value dropped to around 1 but later they accelerated in the last 10 overs and to a value of above 2 in the category 4.  Pakistan while chasing started with a value of just above 1 and pushed it to above one and half in category 2 but remained almost flat in the later 10 overs, may be this was because of losing 6 wickets in the final 10 overs.

ICC-T20-AUS-BAN.png

In Australia Vs Bangladesh match, Bangladesh batted first and started with an average run/ball value of just below 1 (above graph). Then they pushed the value to around 1.5 in the categories 2 & 3 and accelerated the value to below 2 in the category 4. While chasing, Australia  started well with a value of 1.5 in category 1. The first graph in this section which is related to Australia team shows a slight decrease in value till category 3 but accelerated the value to below 2 similar to Bangladesh in the category 4 and chased the target in 18.3 overs.

Fourth team in the points table is Pakistan team.

Pakistan Winning Matches Analysis

ICC Avg Runs Wickets Pakistan.PNG

The above graph is Pakistan Team Performance graph (Wickets (Bar Chart) and Average Runs (Line chart) by Over Category). Graphs show that Pakistan team lost most of their wickets in the final overs (over category 4) and there was no consistency in their batting performance.

ICC-T20-PAK-BAN.png

In the match with Bangladesh, Pakistan maintained an average run/ball value of above 1.5 in the first three over categories and accelerated to above 2 in the final over category. Bangladesh while chasing started with a value of 1.5 (above graph) but dipped to around 1 in the categories 2 & 3. Later they accelerated in category 4 but could not manage to reach a value of above 2 to win the match.

Final team in the points table is Bangladesh.

Bangladesh Matches Analysis

ICC Avg Runs Wickets Bangladesh.PNG

Bangladesh lost most of their wickets in the last 10 overs (over category 3&4) and haven’t maintained a good average runs per ball value in the over category 3 except while playing with Australia. Match by match performance of Bangladesh team with other group 2 teams was already discussed in this blog.

Next, below graph is a consolidated graph of wickets & Average runs per ball of all teams (with respect to bowling) in Group 2.

ICC-Avg-Runs-Wickets-Group2.png

For Group 2, above graph shows that in the over category 1 the average runs given by all the teams congregates to about 1 run per ball.  Graph shows that New Zealand team was able to restrict the runs flow after power play overs and they gave lesser runs in remaining overs compared to other teams. This might be a reason that they won all matches in the group. Australia and Pakistan gave most runs in the final overs. India gave almost equal runs in the over category 1,2 & 3 and curve followed an up-trend in over category 4. Bangladesh took most wickets in the final overs and that might be a reason that the average runs given by the team did not follow an up-trend after over category 3.

Now lets look into the overall run out and stumping statistics (consolidated for Group 1 & Group 2)

Run Out Statistics – Group 1 & Group 2

Run Outs ICC T20 Groups.PNG

Total Run outs in Group 1&2 by Team batting

Run Outs ICC T20 Group1.PNG

Total Run outs in Group 1 by Team Batting Vs Team Bowling

Run Outs ICC T20 Group2.PNG

Total Run outs in Group 2 by Team Batting Vs Team Bowling

For above graph, I have considered the data only related to matches that were not affected by rain, since there was only one rain affected match (India Vs Pakistan) and there were no run outs in that match. Above graphs show that Sri Lanka had most run outs and they had at least one run out in each of the four group matches. Also Group 1 had more run outs than Group 2. India and pakistan players were not run out in any of the group 2 matches.

Stumping Statistics Group 1 & Group 2

Stumping ICc T20.PNG

Total Stumpings in Group 1&2 by Team Batting

Stumping ICC T20 Latest.PNG

Total Stumpings in Group 1&2 by Team Batting Vs Team Bowling

Above graphs show that most stumping happened in Over Category 2 ( 7th – 10th Overs). Mostly spinners are introduced for bowling in these overs and looks like there is a tendency for batsmen to attack spin bowlers in the initial overs. Group 2 had more stumpings compared to Group 1. Australia and Bangladesh have most stumpings compared to other teams. South Africa is the only team with no stumping dismissals in the Group matches.

In conclusion, I think my blogs summarise the Super 10 group matches statistically and provide information to teams about the areas in which they could improve and become better team by the next ICC T20 tournament in the year 2020 hosted by Australia.

References

http://www.espncricinfo.com/icc-world-twenty20-2016/engine/series/901359.html

http://www.espncricinfo.com/icc-world-twenty20-2016/engine/series/901359.html?view=pointstable

http://saplumira.com/

https://en.wikipedia.org/wiki/2020_ICC_World_Twenty20

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