NZ vs BAN Dream11 Team for the ICC Men’s ODI World Cup 2023, Fantasy Cricket Tips & Detailed Analysis for 11th Match, 13 October 2023

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NZ vs BAN Dream11 Team

NZ vs BAN Dream11 Team for ICC Men’s ODI World Cup Today’s Match

Welcome to our comprehensive analysis of the NZ vs BAN Dream11 Team for today’s match in the ICC Men’s ODI World Cup 2023. 

New Zealand (NZ) will take on Bangladesh (BAN) in the 11th match of the ICC Men’s ODI World Cup 2023 at MA Chidambaram Stadium, Chennai on Friday 

New Zealand appears to be the team to beat in this World Cup, having won both of their matches convincingly. They currently lead the table with a net run rate of 1.958.

On the other hand, Bangladesh is coming off a crushing 137-run loss against England, where they could only manage 227 while chasing a target of 365. This significant defeat has pushed them down to the sixth position in the table and has reduced their net run rate to -0.653.

New Zealand Predicted Playing XI 

  • Devon Conway
  • Will Young
  • Rachin Ravindra
  • Daryl Mitchell
  • Tom Latham (c & wk)
  • Glenn Phillips
  • Mark Chapman/ Kane Williamson 
  • Mitchell Santner
  • Matt Henry
  • Lockie Ferguson
  • Trent Boult

Bangladesh Team Predicted Playing XI 

  • Tanzid Hasan
  • Litton Das
  • Najmul Hossain Shanto
  • Shakib Al Hasan ©
  • Mehidy Hasan Miraz
  • Mushfiqur Rahim (wk)
  • Towhid Hridoy
  • Mahedi Hasan
  • Taskin Ahmed
  • Shoriful Islam
  • Mustafizur Rahman

NZ vs BAN Dream11 Team with Detailed Analysis 

WK Section

Devon Conway 

  • ODI Runs: 1058
  • Average: 52.9
  • Centuries: 5
  • Half-centuries: 3

Mushfiqur Rahim 

  • ODI Runs: 7459
  • Average: 36.9
  • Centuries: 9
  • Half-centuries: 47

Liton Das

  • ODI Runs: 2339
  • Average: 32
  • Centuries: 5
  • Half-centuries: 11

Batting Section:

Kane Williamson 

  • ODI Runs: 6438
  • Average: 44.7
  • Centuries: 20
  • Half-centuries: 31

Daryl Mitchell 

  • ODI Runs: 1073
  • Average: 46.6
  • Centuries: 4
  • Half-centuries: 3

Will Young 

  • ODI Runs: 888
  • Average: 42.2
  • Centuries: 2
  • Half-centuries: 6

Najmul Hossain Shanto 

  • ODI Runs: 1232
  • Average: 32.2
  • Centuries: 2
  • Half-centuries: 6

All-Rounder Section:

Shakib Al Hasan 

  • ODI Runs: 7399
  • Average: 37.1
  • Centuries: 9
  • Half-centuries: 55
  • Wickets: 312
  • Eco: 4.4

Mitchell Santner 

  • ODI Runs: 1288
  • Average: 28.6
  • Centuries: 0
  • Half-centuries: 3
  • Wickets: 98
  • Eco: 4.8

Rachin Ravindra 

  • ODI Runs: 363
  • Average: 40.3
  • Centuries: 1
  • Half-centuries: 2
  • Wickets: 14
  • Eco: 6.1

Mehidy Hasan Miraz 

  • ODI Runs: 1111
  • Average: 23.1
  • Centuries: 2
  • Half-centuries: 3
  • Wickets: 94
  • Eco: 4.7

Mahedi Hasan 

  • ODI Runs: 103
  • Average: 14.7
  • Centuries: 0
  • Half-centuries: 0
  • Wickets: 12
  • Eco: 4.9

Bowling Section:

Trent Boult 

  • ODI Wickets: 198
  • Eco: 4.9
  • SR: 29
  • BBI: 7/34

Taskin Ahmed 

  • ODI Wickets: 146
  • Eco: 5
  • SR: 32.7
  • BBI: 6/16

Matt Henry 

  • ODI Wickets: 136
  • Eco: 5.1
  • SR: 29.8
  • BBI: 5/30

Shoriful Islam 

  • ODI Wickets: 40
  • Eco: 5.4
  • SR: 26.2
  • BBI: 4/21

NZ vs BAN Dream11 Team 

Wicketkeepers: D Conway 

Batters: W Young, D Mitchell 

All-rounders: R Ravindra(C), M Santner, M Hasan Miraz, S Al Hasan(VC), M Hasan 

Bowlers: M Henry, S Islam, Trent Boult 

Who Will Win Today’s match Between NZ vs BAN

New Zealand to win

New Zealand have won all five matches they have played against Bangladesh in the ICC ODI World Cup. They’ve also won the last nine ODIs in a row against them. So, the Black Caps will certainly start as favorites for this clash.

Also ReadNZ vs BAN Dream11 Prediction, Top Fantasy Picks, Player Availability News, 11th Match, ODI World Cup, 13th October 2023

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Bhupender Sharma
I am Cricket Match Prediction expert with an extensive background in sports analytics and a deep passion for cricket, I've dedicated my career to perfecting the art of predicting cricket match outcomes. My expertise spans diverse cricket tournaments and leagues, including the coveted IPL. I leverage statistical models, player stats, and real-time match updates to make precise predictions.