Best performances - Batsmen
MD Patel
50(38) 7x4 - 1x6
Control %58%
- Productive Shot
- cover drive
- 22 runs
- 4x4 - 0x6
Babar Azam
44(43) 3x4 - 2x6
Control %79%
- Productive Shot
- on drive
- 14 runs
- 1x4 - 1x6
06/06Result
11th Match, Group A, ICC Men's T20 World Cup at Dallas, Jun 6 2024
-
![Pakistan]( "Pakistan")
159/7 -
![United States of America]( "United States of America")
159/3 (20 ov)
Player of the Match
06/06Result
11th Match, Group A, ICC Men's T20 World Cup at Dallas, Jun 6 2024
-
![Pakistan]( "Pakistan")
159/7 -
![United States of America]( "United States of America")
159/3 (20 ov)
Player of the Match
Best performances - Bowlers
NP Kenjige
- O4
- M0
- R30
- W3
- Eco7.50
| 3W | ||||
- FTFULL TOSS
- YYORKER
- FFULL LENGTH
- GGOOD LENGTH
- SGSHORT OF GOOD LENGTH
- SSHORT LENGTH
SN Netravalkar
- O4
- M0
- R18
- W2
- Eco4.50
| 1W | ||||
| 1W | ||||
- FTFULL TOSS
- YYORKER
- FFULL LENGTH
- GGOOD LENGTH
- SGSHORT OF GOOD LENGTH
- SSHORT LENGTH
Partnerships
Pakistan - Innings
United States of America - Innings
Manhattan
Run rate graph
Worm
Match Coverage
All Match NewsSaurabh Netravalkar and Harmeet Singh: two Mumbai boys living the American cricket dream
Home is now on the other side of the world for two bowlers who are squaring up against the side they once longed to play for
Who has bowled the most miserly spell in T20Is?
And was USA's defeat of Pakistan the biggest World Cup upset?
Monank Patel after Super Over win: We should have finished the game in regular time
USA captain feels beating Pakistan in the World Cup is "going to open many doors for us"
From computers to cricket: how Saurabh Netravalkar coded USA's greatest script
He had moved to the country to pursue a Master's degree in Computer Engineering, but has now become part of USA cricket's folklore
Babar Azam admits Pakistan were 'not up to the mark' in bowling
Pakistan captain felt "given the bowlers we have, we should have defended that total" against USA
Videos
ICC Men's T20 World Cup
| Super Eights, Group 1 | |||||
|---|---|---|---|---|---|
| Team | M | W | L | PT | NRR |
| IND | 3 | 3 | 0 | 6 | 2.017 |
| AFG | 3 | 2 | 1 | 4 | -0.305 |
| AUS | 3 | 1 | 2 | 2 | -0.331 |
| BAN | 3 | 0 | 3 | 0 | -1.709 |
| Super Eights, Group 2 | |||||
| Team | M | W | L | PT | NRR |
| SA | 3 | 3 | 0 | 6 | 0.599 |
| ENG | 3 | 2 | 1 | 4 | 1.992 |
| WI | 3 | 1 | 2 | 2 | 0.963 |
| USA | 3 | 0 | 3 | 0 | -3.906 |
| Group A | |||||
| Team | M | W | L | PT | NRR |
| IND | 4 | 3 | 0 | 7 | 1.137 |
| USA | 4 | 2 | 1 | 5 | 0.127 |
| PAK | 4 | 2 | 2 | 4 | 0.294 |
| CAN | 4 | 1 | 2 | 3 | -0.493 |
| IRE | 4 | 0 | 3 | 1 | -1.293 |
| Group B | |||||
| Team | M | W | L | PT | NRR |
| AUS | 4 | 4 | 0 | 8 | 2.791 |
| ENG | 4 | 2 | 1 | 5 | 3.611 |
| SCOT | 4 | 2 | 1 | 5 | 1.255 |
| NAM | 4 | 1 | 3 | 2 | -2.585 |
| OMA | 4 | 0 | 4 | 0 | -3.062 |
| Group C | |||||
| Team | M | W | L | PT | NRR |
| WI | 4 | 4 | 0 | 8 | 3.257 |
| AFG | 4 | 3 | 1 | 6 | 1.835 |
| NZ | 4 | 2 | 2 | 4 | 0.415 |
| UGA | 4 | 1 | 3 | 2 | -4.51 |
| PNG | 4 | 0 | 4 | 0 | -1.268 |
| Group D | |||||
| Team | M | W | L | PT | NRR |
| SA | 4 | 4 | 0 | 8 | 0.47 |
| BAN | 4 | 3 | 1 | 6 | 0.616 |
| SL | 4 | 1 | 2 | 3 | 0.863 |
| NED | 4 | 1 | 3 | 2 | -1.358 |
| NEP | 4 | 0 | 3 | 1 | -0.542 |