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Mohammad Nawaz (3) – Cricket Player Statistics and Analysis

Updated on: Apr 22, 2023 2:36 pm IST

Mohammad Nawaz (3) – Cricket Player Statistics and Analysis

Welcome to the Fantasy Cricket Insights page for Mohammad Nawaz (3), a renowned cricketer known for their exceptional skills and performance on the field. This comprehensive data-driven analysis aims to help fantasy cricket enthusiasts like you make informed decisions while building your dream team. Dive into , Mohammad's detailed performance records in ODIs, T20s, and Test Matches, as well as his recent form, stadium-wise performance, and head-to-head records against different teams.

Comprehensive Performance Records

IPL stats since 2018*

Batting Stats
Innings Runs Highest Score Batting Ave Batting SR Ball Faced 100s 50s 4s 6s
-- -- -- -- -- -- -- -- -- --
Bowling Stats
Innings Runs Wickets Overs Bowling Ave Econ Best Bowling
-- -- -- -- -- -- --
Batting Stats
Innings Runs Highest Score Batting Ave Batting SR Ball Faced 100s 50s 4s 6s
9 70 25 11.67 100.00 70 0 0 4 3
Bowling Stats
Innings Runs Wickets Overs Bowling Ave Econ Best Bowling
24 544 20 77.0 27.20 7.06 2/11

ODI stats since 2002

Batting Stats
Innings Runs Highest Score Batting Ave Batting SR Ball Faced 100s 50s 4s 6s
13 203 53 0.00 91.03 223 0 1 15 3
Bowling Stats
Innings Runs Wickets Overs Bowling Ave Econ Strike Rate Best Bowling
16 641 20 123.3 32.05 5.19 37.05 4/42

Test stats since 2002*

Batting Stats
Innings Runs Highest Score Batting Ave Batting SR Ball Faced 100s 50s 4s 6s
3 50 25 13 31.85 157 0 0 4 0
Bowling Stats
Innings Runs Wickets Overs Bowling Ave Econ Strike Rate Best Bowling
3 147 5 63.5 29.40 2.30 76.60 4/42

Explore Mohammad's performance in different formats of the game. Get insights into his ODI, T20, and Test Match records to understand his capabilities and strengths better. Use these statistics to gauge his consistency and potential impact on your fantasy cricket team.

Mohammad Nawaz (3) has had a remarkable career, and our in-depth analysis covers all aspects of his game. This includes a detailed breakdown of his batting and bowling performances, which offers valuable insights into his strengths and weaknesses. By understanding the nuances of his gameplay, you'll be better equipped to make smart choices when analyzing his performance and comparing him to other players.

Our data-driven insights also cover Mohammad's recent form, which is essential when it comes to predicting future performance. By examining his performance over the past few months, you can gauge whether he's in top form or experiencing a rough patch. This information is crucial when evaluating a player's potential impact in upcoming matches or series.

One of the unique features of our Statpedia page is the detailed analysis of Mohammad's performance at different stadiums. This information can be invaluable when it comes to predicting how he'll perform in upcoming matches. Some cricketers thrive in specific playing conditions, and our stadium-wise performance analysis will help you identify when Mohammad Nawaz (3) is likely to excel.

Additionally, our insights cover Mohammad Nawaz (3)'s head-to-head records against various teams. This is crucial when determining how well he's likely to perform against specific opponents. By examining his past encounters, you'll be able to identify patterns and trends that could influence his performance in upcoming matches. This information can be the key to understanding a player's strengths and weaknesses in different contexts.

Our Statpedia page also provides valuable information about Mohammad Nawaz (3)'s fielding abilities. In a sport where every run saved or wicket taken can make a significant difference, understanding a player's fielding prowess is essential. Our data-driven analysis will give you a clear picture of Mohammad's fielding capabilities, helping you make informed decisions when evaluating players.

Stadium-wise Performance

IPL stats since 2018*

Batting Stats
Stadium Balls Runs 4s 6s SR 50s 100s Inns Avg. Out
NANANANANANANANANANANA
Bowling Stats
Vs Stadium Inns Wkts Overs Runs Avg SR Econ 4W 5W
NANANANANANANANANANA
Batting Stats
Stadium Balls Runs 4s 6s SR 50s 100s Inns Avg. Out
Gaddafi Stadium, Lahore 16 21 2 1 131.25 0 0 3 21.00 1
Harare Sports Club 20 15 0 0 75.00 0 0 2 7.50 2
SuperSport Park, Centurion 21 25 1 2 119.05 0 0 1 NA 0
The Wanderers Stadium, Johannesburg 4 2 0 0 50.00 0 0 2 1.00 2
Westpac Stadium 9 7 1 0 77.78 0 0 1 7.00 1
Bowling Stats
Vs Stadium Inns Wkts Overs Runs Avg SR Econ 4w 5w
Dubai International Cricket Stadium 2 2 7.0 35 17.50 21.00 5.00 0 0
Gaddafi Stadium, Lahore 5 4 14.1 92 23.00 21.25 6.49 0 0
Gahanga International Cricket Stadium, Rwanda 2 2 8.0 57 28.50 24.00 7.13 0 0
Harare Sports Club 4 2 11.2 70 35.00 34.00 6.18 0 0
National Stadium, Karachi 3 4 12.1 63 15.75 18.25 5.18 0 0
Sheikh Zayed Stadium 1 1 3.1 15 15.00 19.00 4.74 0 0
Shere Bangla National Stadium, Mirpur 2 0 6.1 63 NA NA 10.22 0 0
SuperSport Park, Centurion 2 3 8.0 78 26.00 16.00 9.75 0 0
The Wanderers Stadium, Johannesburg 2 2 7.0 50 25.00 21.00 7.14 0 0
Westpac Stadium 1 0 1.0 14 NA NA 14.00 0 0

ODI stats since 2002

Batting Stats
Stadium Balls Runs 4s 6s SR 50s 100s Inns Avg. Out
Basin Reserve 12 23 3 1 191.67 0 0 1 23.00 1
Brisbane Cricket Ground 9 1 0 0 11.11 0 0 1 1.00 1
Dubai International Cricket Stadium 16 15 1 0 93.75 0 0 1 NA 0
Headingley, Leeds 21 13 0 0 61.90 0 0 1 13.00 1
Sharjah Cricket Stadium 19 19 0 1 100.00 0 0 1 19.00 1
Sheikh Zayed Stadium 32 22 0 1 68.75 0 0 3 11.00 2
Sophia Gardens, Cardiff 3 2 0 0 66.67 0 0 1 NA 0
SuperSport Park, Centurion 10 4 0 0 40.00 0 0 1 4.00 1
The Rose Bowl, Southampton 15 17 2 0 113.33 0 0 1 NA 0
The Village, Malahide 50 53 7 0 106.00 1 0 1 53.00 1
Trent Bridge 36 34 2 0 94.44 0 0 1 34.00 1
Bowling Stats
Vs Stadium Inns Wkts Overs Runs Avg SR Econ 4w 5w
Basin Reserve 1 0 10.0 43 NA NA 4.30 0 0
Brisbane Cricket Ground 1 1 8.0 48 48.00 48.00 6.00 0 0
Dubai International Cricket Stadium 1 0 7.1 34 NA NA 4.74 0 0
Headingley, Leeds 1 0 10.1 53 NA NA 5.21 0 0
National Stadium, Karachi 1 1 4.0 24 24.00 24.00 6.00 0 0
Queens Sports Club, Bulawayo 1 2 10.3 43 21.50 31.50 4.10 0 0
Sharjah Cricket Stadium 2 4 17.2 79 19.75 26.00 4.56 1 0
Sheikh Zayed Stadium 3 6 27.1 135 22.50 27.17 4.97 0 0
Sophia Gardens, Cardiff 1 0 4.1 31 NA NA 7.44 0 0
SuperSport Park, Centurion 1 3 7.0 34 11.33 14.00 4.86 0 0
The Rose Bowl, Southampton 1 1 6.3 31 31.00 39.00 4.77 0 0
The Village, Malahide 1 1 3.0 14 14.00 18.00 4.67 0 0
Trent Bridge 1 1 10.0 62 62.00 60.00 6.20 0 0

Test stats since 2002

Batting Stats
Stadium Balls Runs 4s 6s SR 50s 100s Inns Avg. Out
Dubai International Cricket Stadium 3 0 0 0 0.00 0 0 1 0.00 1
Sharjah Cricket Stadium 83 25 3 0 30.12 0 0 1 12.50 2
Sheikh Zayed Stadium 71 25 1 0 35.21 0 0 1 25.00 1
Bowling Stats
Vs Stadium Inns Wkts Overs Runs Avg SR Econ 4w 5w
Dubai International Cricket Stadium 1 4 35.0 69 17.25 52.50 1.97 1 0
Sharjah Cricket Stadium 1 0 15.0 40 NA NA 2.67 0 0
Sheikh Zayed Stadium 1 1 14.1 36 36.00 85.00 2.54 0 0

Discover how Mohammad has performed in various stadiums across his career. This information can be crucial in determining his adaptability and comfort level at specific venues, helping you decide whether to include him in your fantasy cricket team based on the match location.

Head-to-Head Records Against Different Teams

IPL stats since 2018*

Batting Stats
Vs Team Balls Runs 4s 6s SR 50s 100s Inns Avg Out
NANANANANANANANANANANA
Bowling Stats
vs Team Inns Wkts Runs Avg SR Econ 4w 5w
NANANANANANANANANA
Batting Stats
Vs Team Balls Runs 4s 6s SR 50s 100s Inns Avg Out
New Zealand 9 7 1 0 77.78 0 0 9 7.00 1
Australia 11 6 0 0 54.55 0 0 12 6.00 1
South Africa 41 48 3 3 117.07 0 0 43 16.00 3
Zimbabwe 9 9 0 0 100.00 0 0 12 9.00 1
Bowling Stats
vs Team Inns Wkts Runs Avg SR Econ 4w 5w
West Indies 134 7 113 16.14 18.86 5.14 0 0
New Zealand 6 0 14 NA NA 14.00 0 0
ICC World XI 24 1 32 32.00 24.00 8.00 0 0
United Arab Emirates 19 0 25 NA NA 8.33 0 0
Sri Lanka 18 0 38 NA NA 12.67 0 0
Scotland 48 2 57 28.50 24.00 7.13 0 0
Zimbabwe 54 2 51 25.50 27.00 5.67 0 0
Australia 14 0 19 NA NA 9.50 0 0
South Africa 151 8 188 23.50 18.75 7.52 0 0

ODI stats since 2002

Batting Stats
Vs Team Balls Runs 4s 6s SR 50s 100s Inns Avg Out
Ireland 50 53 7 0 106.00 1 0 51 53.00 1
England 75 66 4 0 88.00 0 0 76 33.00 2
Australia 9 1 0 0 11.11 0 0 10 1.00 1
West Indies 24 23 0 1 95.83 0 0 25 23.00 1
New Zealand 12 23 3 1 191.67 0 0 13 23.00 1
Afghanistan 8 10 0 1 125.00 0 0 8 10.00 1
India 16 15 1 0 93.75 0 0 16 NA 0
Bangladesh 19 8 0 0 42.11 0 0 20 8.00 1
South Africa 10 4 0 0 40.00 0 0 10 4.00 1
Bowling Stats
vs Team Inns Wkts overs Runs Avg SR Econ 4w 5w
West Indies 134 7 22.0 113 16.14 18.86 5.14 1 0
New Zealand 6 0 1.0 14 NA NA 14.00 0 0
ICC World XI 24 1 4.0 32 32.00 24.00 8.00 0 0
United Arab Emirates 19 0 3.0 25 NA NA 8.33 0 0
Sri Lanka 18 0 3.0 38 NA NA 12.67 0 0
Scotland 48 2 8.0 57 28.50 24.00 7.13 0 0
Zimbabwe 54 2 9.0 51 25.50 27.00 5.67 0 0
Australia 14 0 2.0 19 NA NA 9.50 0 0
South Africa 151 8 25.0 188 23.50 18.75 7.52 0 0

Test stats since 2002

Batting Stats
Vs Team Balls Runs 4s 6s SR 50s 100s Inns Avg Out
Ireland 50 53 7 0 106.00 0 0 51 53.00 1
England 75 66 4 0 88.00 0 0 76 33.00 2
Australia 9 1 0 0 11.11 0 0 10 1.00 1
West Indies 24 23 0 1 95.83 0 0 25 23.00 1
New Zealand 12 23 3 1 191.67 0 0 13 23.00 1
Afghanistan 8 10 0 1 125.00 0 0 8 10.00 1
India 16 15 1 0 93.75 0 0 16 NA 0
Bangladesh 19 8 0 0 42.11 0 0 20 8.00 1
South Africa 10 4 0 0 40.00 0 0 10 4.00 1
Bowling Stats
vs Team Inns Wkts overs Runs Avg SR Econ 4w 5w
West Indies 134 7 22.0 113 16.14 18.86 5.14 1 0
New Zealand 6 0 1.0 14 NA NA 14.00 0 0
ICC World XI 24 1 4.0 32 32.00 24.00 8.00 0 0
United Arab Emirates 19 0 3.0 25 NA NA 8.33 0 0
Sri Lanka 18 0 3.0 38 NA NA 12.67 0 0
Scotland 48 2 8.0 57 28.50 24.00 7.13 0 0
Zimbabwe 54 2 9.0 51 25.50 27.00 5.67 0 0
Australia 14 0 2.0 19 NA NA 9.50 0 0
South Africa 151 8 25.0 188 23.50 18.75 7.52 0 0

Gain insights into Mohammad's performance against different opponents in ODIs, T20s, and Test Matches. This data enables you to understand his strengths and weaknesses against specific teams, assisting you in selecting the right players for your fantasy cricket team based on the opposition.