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MVP of Machine Learning vs Deep Learning Cricket Match

PAST
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NIGHT CRICKET
(League Matches)9 Ov.ball_image
Football Ground, Gandhinagar, 26-Jul-20 05:16 PM
Machine Learning
(9.0 Ov)
Deep Learning
(5.0 Ov)

Machine Learning won by 32 runs

MVP (Most Valuable Player)
Export Leaderboard
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Prathamesh Upadhyay(Machine Learning)
1
Batting
0.000
+
Bowling
2.760
+
Fielding
0.448
=
Total
3.208
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Zeeshan(Machine Learning)
2
Batting
2.621
+
Bowling
0.000
+
Fielding
0.560
=
Total
3.181
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Piyush(Machine Learning)
3
Batting
0.000
+
Bowling
2.240
+
Fielding
0.000
=
Total
2.240
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Priyank(Machine Learning)
4
Batting
0.655
+
Bowling
1.240
+
Fielding
0.000
=
Total
1.895
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Dhannajay(Deep Learning)
5
Batting
0.221
+
Bowling
1.493
+
Fielding
0.000
=
Total
1.714
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Akshant(Machine Learning)
6
Batting
0.098
+
Bowling
1.360
+
Fielding
0.000
=
Total
1.458
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Akshant(Deep Learning)
7
Batting
0.000
+
Bowling
0.000
+
Fielding
1.400
=
Total
1.400
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Suraj Mina(Deep Learning)
8
Batting
0.097
+
Bowling
1.050
+
Fielding
0.000
=
Total
1.147
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Somnath(Machine Learning)
9
Batting
0.838
+
Bowling
0.000
+
Fielding
0.000
=
Total
0.838
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Pandey(Machine Learning)
10
Batting
0.764
+
Bowling
0.000
+
Fielding
0.000
=
Total
0.764
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Gajendra(Deep Learning)
11
Batting
0.380
+
Bowling
0.084
+
Fielding
0.224
=
Total
0.688
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Bhongade(Deep Learning)
12
Batting
0.600
+
Bowling
0.000
+
Fielding
0.000
=
Total
0.600
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Kushpal(Deep Learning)
13
Batting
0.200
+
Bowling
0.119
+
Fielding
0.000
=
Total
0.319
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Mannu(Deep Learning)
14
Batting
0.000
+
Bowling
-0.060
+
Fielding
0.000
=
Total
-0.060
Match Details
Match Date02/08/2025
Last Updated (2025-08-02 at 15:18)
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