IPL Data Visualization and Machine learningBeta
We love cricket, in fact our earlier mobile app was on unique cricket facts. If you are interested you can try the free app available on android, iphone.
Various tools used are
Jupyter
Pandas
Numpy
Matplotlib
Seaborn
Keras
TF 2.0
Flourish
Today's modern data visualization tools give Deep insights on Data with easy generation of stats and graphs.
For this project we have used IPL data available on google from 2008 to 2019 (data upto 16-April-2019).
Few Analytics captured via data are
| Team | Winning Year |
|---|---|
Rajasthan Royals |
2008 |
Deccan Chargers |
2009 |
Chennai Super Kings |
2010 2011 2018 |
Kolkata Knight Riders |
2012 2014 |
Mumbai Indians |
2013 2015 2017 |
Sunrisers Hyderabad |
2016 |
| Team | Total Runs 2008-2019 | % of Total Runs |
|---|---|---|
Chennai Super Kings |
24948 | 11.11 |
Deccan Chargers |
11464 | 5.1 |
Delhi Capitals |
25486 | 11.35 |
Gujarat Lions |
4856 | 2.16 |
Kings XI Punjab |
26785 | 11.93 |
Kochi Tuskers Kerala |
1877 | 0.84 |
Kolkata Knight Riders |
26078 | 11.61 |
Mumbai Indians |
28466 | 12.68 |
Pune Warriors India |
10897 | 4.85 |
Rajasthan Royals |
21372 | 9.52 |
Royal Challengers Bangalore |
26749 | 11.91 |
Sunrisers Hyderabad |
15596 | 6.94 |
| Team | Total Wickets 2008-2019 | % of Total Wickets |
|---|---|---|
Chennai Super Kings |
161 | 10.07 |
Deccan Chargers |
76 | 5.05 |
Delhi Capitals |
173 | 11.5 |
Gujarat Lions |
30 | 1.99 |
Kings XI Punjab |
172 | 11.44 |
Kochi Tuskers Kerala |
14 | 0.93 |
Kolkata Knight Riders |
181 | 12.03 |
Mumbai Indians |
183 | 12.17 |
Pune Warriors India |
76 | 5.05 |
Rajasthan Royals |
149 | 9.91 |
Royal Challengers Bangalore |
182 | 12.1 |
Sunrisers Hyderabad |
107 | 7.11 |
| Team | Toss (W/L) | Match | Total |
|---|---|---|---|
Chennai Super Kings |
Win | Lost | 29 |
| Win | 54 | ||
Deccan Chargers |
Win | Lost | 24 |
| Win | 19 | ||
Delhi Capitals |
Win | Lost | 44 |
| Win | 36 | ||
Gujarat Lions |
Win | Lost | 5 |
| Win | 10 | ||
Kings XI Punjab |
Win | Lost | 46 |
| Win | 32 | ||
Kochi Tuskers Kerala |
Win | Lost | 4 |
| Win | 4 | ||
Kolkata Knight Riders |
Win | Lost | 35 |
| Win | 52 | ||
Mumbai Indians |
Win | Lost | 42 |
| Win | 53 | ||
Pune Warriors India |
Win | Lost | 21 |
| Win | 12 | ||
Royal Challengers Bangalore |
Win | Lost | 34 |
| Win | 42 | ||
Sunrisers Hyderabad |
Win | Lost | 23 |
| Win | 21 |
When we use Seaborn against our data. It gives some intresting graphs.
Below code shows matches played per year including home/away/neutral
plt.show()
If you want to see Man Of The Match from Each Team across all seasons.
Mumbai ranks first followed by Royal Challengers Bangalore.
plt.show()
With Similar charts you can get
1. Wins Per Season by teams
2. Individual Stats ( MOM awards and total runs at each positions )
3. Wickets taken
4. View progress per season
Machine Learning
We have used 2 models to generate prediction on runs scored per match by team using TF 2.0.
First Model contains 23 Featured columns (Team, Ground, Match Type (Q/S/F), Home/Away, Toss, Batting First, Batting Second, Match Time, Runs Scored, Wickets Taken, Batting Run Rate, Bowling Run Rate, Man Of The Match and more)
Second model is with 170 + Columns and will update this blog once our ML training is complete.
Current prediction listed below is in beta mode and only for educational purpose. We will update this page with further research and reports.
Reason we have launched it in beta is that, we think this model can be made more accurate and we need your inputs and feedback. If you have suggestions please do share with us advaita@rachittechnology.com
We have used Supervised Machine Learning optimized for RMSE. Current model contains 23 Featured Columns and 1476 rows. We believe Model Evaluation will improve with more data and number of rows.
MAE(Mean absolute error) 2.021
RMSE(Root Mean Square Error) 2.737
R squared (R^2) 0.994
MAPE(Mean absolute percentage error) 1.35%
*Below prediction is based on data till 16-April-2019. Model and prediction is generated on 16-April-2019.
| Prediction | ||||
|---|---|---|---|---|
| Team | Date | Runs Lost Toss | Runs Win Toss | Actual |
CSK | 17-Apr | 176 | 204 | 132 |
SRH | 17-Apr | 170 | 197 | 137 |
DC | 18-Apr | 195 | 224 | 128 |
MI | 18-Apr | 173 | 200 | 168 |
KKR | 19-Apr | 187 | 215 | 203 |
RCB | 19-Apr | 166 | 193 | 213 |
DC | 20-Apr | 192 | 220 | 166 |
KXIP | 20-Apr | 175 | 203 | 163 |
MI | 20-Apr | 175 | 202 | 161 |
RR | 20-Apr | 185 | 213 | 162 |
CSK | 21-Apr | 174 | 202 | 160 |
KKR | 21-Apr | 177 | 204 | 159 |
RCB | 21-Apr | 170 | 197 | 161 |
SRH | 21-Apr | 181 | 209 | 161 |
DC | 22-Apr | 162 | 190 | 193 |
RR | 22-Apr | 163 | 191 | 191 |
CSK | 23-Apr | 186 | 214 | 176 |
SRH | 23-Apr | 153 | 180 | 175 |
KXIP | 24-Apr | 164 | 192 | 185 |
RCB | 24-Apr | 165 | 193 | 202 |
KKR | 25-Apr | 177 | 205 | 175 |
RR | 25-Apr | 159 | 187 | 177 |
CSK | 26-Apr | 182 | 210 | 109 |
MI | 26-Apr | 156 | 183 | 155 |
RR | 27-Apr | 157 | 185 | 161 |
SRH | 27-Apr | 139 | 166 | 160 |
DC | 28-Apr | 198 | 226 | 187 |
KKR | 28-Apr | 172 | 201 | 232 |
MI | 28-Apr | 158 | 185 | 198 |
RCB | 28-Apr | 169 | 196 | 171 |
KXIP | 29-Apr | 151 | 179 | 167 |
SRH | 29-Apr | 151 | 179 | 212 |
RR | 30-Apr | 146 | 174 | 62 |
RCB | 30-Apr | 157 | 184 | 41 |
CSK | 01-May | 201 | 229 | 179 |
DC | 01-May | 184 | 212 | 99 |
MI | 02-May | 175 | 202 | 162 |
SRH | 02-May | 154 | 181 | 162 |
KXIP | 03-May | 187 | 215 | 183 |
KKR | 03-May | 170 | 197 | 185 |
DC | 04-May | 216 | 244 | 121 |
RR | 04-May | 190 | 217 | 115 |
RCB | 04-May | 177 | 205 | 178 |
SRH | 04-May | 163 | 189 | 175 |
CSK | 05-May | 194 | 222 | 170 |
KXIP | 05-May | 202 | 230 | 173 |
KKR | 05-May | 157 | 185 | 133 |
MI | 05-May | 169 | 197 | 134 |
CSK | 07-May | 167 | 168 | 131 |
MI | 07-May | 182 | 181 | 132 |
DD | 08-May | 173 | 174 | 165 |
SRH | 08-May | 157 | 158 | 162 |
CSK | 10-May | 174 | 175 | 151 |
DD | 10-May | 160 | 161 | 147 |
CSK | 12-May | 174 | 175 | 148 |
MI | 12-May | 186 | 187 | 149 |