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Statz MVP

700 matches · Updated Mon 9 Nov · 18:27 GMT

Filters

Competition Season Player Major nations only Exclude small samples

Player · matches playedPlayer · team Matches BtI Avg

901 Saurabh Netravalkar WSF 12 of 13 matches 12 of 13 1.9

902 Olly Stone NOT 13 of 14 matches 13 of 14 1.8

903 Hardus Viljoen PR 6 of 12 matches 6 of 12 1.8

904 Frederick Klaassen BW 12 of 12 matches 12 of 12 1.8

905 Adam Zampa AUS 10 of 6 matches 10 of 6 1.8

906 Adam Milne TSK 8 of 10 matches 8 of 10 1.8

907 Mustafizur Rahman LQ 5 of 10 matches 5 of 10 1.7

908 Ottneil Baartman PR 9 of 12 matches 9 of 12 1.6

909 Mark Watt ECR 10 of 11 matches 10 of 11 1.6

910 Lockie Ferguson NZ 7 of 9 matches 7 of 9 1.6

911 Haider Ali DC 11 of 11 matches 11 of 11 1.5

912 Corbin Bosch SA 7 of 8 matches 7 of 8 1.5

913 Kartik Tyagi KKR 13 of 14 matches 13 of 14 1.5

914 Lizaad Williams PC 9 of 12 matches 9 of 12 1.5

915 Sean Abbott SS 9 of 13 matches 9 of 13 1.5

916 Noor Ahmad CSK 14 of 14 matches 14 of 14 1.4

917 Olly Stone ADKR 10 of 12 matches 10 of 12 1.4

918 Anrich Nortje SEC 11 of 13 matches 11 of 13 1.4

919 Usman Tariq QG 10 of 10 matches 10 of 10 1.4

920 Akif Javed HK 8 of 13 matches 8 of 13 1.4

921 Mir Hamza KRK 6 of 10 matches 6 of 10 1.3

922 Jasprit Bumrah MI 13 of 14 matches 13 of 14 1.3

923 Haris Rauf LQ 9 of 10 matches 9 of 10 1.3

924 Lloyd Pope AS 10 of 10 matches 10 of 10 1.3

925 Faisal Akram MS 6 of 11 matches 6 of 11 1.2

926 Kuldeep Yadav DC 12 of 14 matches 12 of 14 1.2

927 Ehsan Khan HK 4 of 4 matches 4 of 4 1.2

928 Prasidh Krishna GT 12 of 17 matches 12 of 17 1.2

929 Scott Currie HAM 15 of 15 matches 15 of 15 1.2

930 Akeal Hosein CSK 7 of 14 matches 7 of 14 1.2

931 Lungi Ngidi PC 11 of 12 matches 11 of 12 1.2

932 Sean Abbott SUR 10 of 13 matches 10 of 13 1.1

933 Shadley van Schalkwyk LAKR 12 of 12 matches 12 of 12 1.1

934 Brody Couch PS 8 of 12 matches 8 of 12 1.1

935 Naseem Shah PAK 4 of 5 matches 4 of 5 1.0

936 Ubaid Shah LQ 8 of 10 matches 8 of 10 1.0

937 Adil Rashid ENG 19 of 11 matches 19 of 11 1.0

938 Reece Topley SUR 13 of 13 matches 13 of 13 0.9

939 AM Ghazanfar MIE 13 of 13 matches 13 of 13 0.9

940 Ateeq Iqbal HK 3 of 4 matches 3 of 4 0.9

941 Ali Khan GC 9 of 10 matches 9 of 10 0.9

942 Ghulam Mudassar SFU 8 of 12 matches 8 of 12 0.9

943 Eshan Malinga SRH 15 of 15 matches 15 of 15 0.8

944 Roelof van der Merwe RD 10 of 10 matches 10 of 10 0.8

945 Sakib Hussain SRH 11 of 15 matches 11 of 15 0.8

946 Mohammad Amir RW 10 of 10 matches 10 of 10 0.8

947 Mohammad Ali NOT 10 of 14 matches 10 of 14 0.8

948 Hunain Shah JK 13 of 13 matches 13 of 13 0.8

949 Matthew Humphreys BW 12 of 12 matches 12 of 12 0.7

950 Matthew Humphreys IRE 10 of 7 matches 10 of 7 0.7

951 Nqobani Mokoena PR 9 of 12 matches 9 of 12 0.7

952 Varun Chakaravarthy KKR 11 of 14 matches 11 of 14 0.7

953 Miracle Akhigbe NGA 2 of 4 matches 2 of 4 0.7

954 Piyush Chawla ADKR 8 of 12 matches 8 of 12 0.6

955 Solomon Chilemanya NGA 2 of 4 matches 2 of 4 0.6

956 Mohammed Siraj GT 17 of 17 matches 17 of 17 0.6

957 Bjorn Fortuin SA 5 of 5 matches 5 of 5 0.5

958 Jayden Seales ABF 10 of 12 matches 10 of 12 0.5

959 Haris Rauf MLS 11 of 11 matches 11 of 11 0.5

960 Lungi Ngidi DC 11 of 14 matches 11 of 14 0.5

961 Sonny Baker HAM 8 of 15 matches 8 of 15 0.5

962 Taskin Ahmed SW 6 of 10 matches 6 of 10 0.5

963 Keshav Maharaj SA 14 of 8 matches 14 of 8 0.5

964 Sonny Baker ENG 2 of 4 matches 2 of 4 0.5

965 Noor Ahmad DSG 6 of 10 matches 6 of 10 0.4

966 Yasim Murtaza HK 3 of 4 matches 3 of 4 0.4

967 Senuran Muthusamy SEC 11 of 13 matches 11 of 13 0.4

968 Riley Meredith HH 12 of 12 matches 12 of 12 0.4

969 Kwena Maphaka DSG 6 of 10 matches 6 of 10 0.4

970 Rasikh Salam Dar RCB 12 of 16 matches 12 of 16 0.4

971 Waqar Salamkheil SNP 6 of 10 matches 6 of 10 0.4

972 Rushil Ugarkar MINY 11 of 11 matches 11 of 11 0.4

973 Akif Javed DER 12 of 12 matches 12 of 12 0.3

974 Jason Behrendorff MR 8 of 10 matches 8 of 10 0.3

975 Adam Finch WOR 7 of 12 matches 7 of 12 0.3

976 Tom Helm MID 12 of 12 matches 12 of 12 0.3

977 Abdullahi Ismail NGA 3 of 4 matches 3 of 4 0.3

978 Dilshan Madushanka SL 5 of 5 matches 5 of 5 0.3

979 Jack Brassell NAM 8 of 8 matches 8 of 8 0.3

980 Abhimanyu Lamba TSK 7 of 10 matches 7 of 10 0.3

981 Marchant de Lange GLO 13 of 13 matches 13 of 13 0.3

982 Trent Boult ECR 9 of 11 matches 9 of 11 0.2

983 Digvesh Rathi LSG 10 of 14 matches 10 of 14 0.2

984 Mukesh Choudhary CSK 8 of 14 matches 8 of 14 0.2

985 Alex Green LEI 8 of 12 matches 8 of 12 0.2

986 George Scrimshaw NOR 11 of 15 matches 11 of 15 0.2

987 AM Ghazanfar MI 11 of 14 matches 11 of 14 0.2

988 Thomas Aspinwall LAN 6 of 12 matches 6 of 12 0.2

989 Vijaykumar Vyshak PBKS 9 of 14 matches 9 of 14 0.2

990 Ottneil Baartman SO 9 of 10 matches 9 of 10 0.2

991 Dwaine Pretorius GAW 11 of 12 matches 11 of 12 0.2

992 Naseem Shah SNP 5 of 10 matches 5 of 10 0.2

993 Junaid Siddique SW 5 of 10 matches 5 of 10 0.2

994 Usman Tariq WAR 11 of 12 matches 11 of 12 0.2

995 Saqib Mahmood LAN 6 of 12 matches 6 of 12 0.2

996 Adam Zampa KRK 7 of 10 matches 7 of 10 0.1

997 David Payne PS 6 of 12 matches 6 of 12 0.1

998 Mohammad Ismail MS 7 of 11 matches 7 of 11 0.1

999 Sean Hunt SUS 7 of 12 matches 7 of 12 0.1

1000 Brijesh Sharma RR 13 of 16 matches 13 of 16 0.1

Showing 901–1,000 of 1,013 ‹ Previous Next ›

Our projections for every player's next match or create a free account · 18+ · BeGambleAware.org Cricket Pro ›

About the Statz MVP rankings

The Statz MVP rating is our in-house system for contextually judging every player's performance across Cricket. Avg MI ranks players by per-game impact (they need half their side's matches); Total MI ranks them by their whole season's contribution.

Statz Leaders › Hit rates › Players in form › Team builder ›

Frequently asked questions

What is the Statz MVP rating?

It's our in-house rating system that scores every player's impact in each match and aggregates it across the season. It's designed to cut through the raw runs and wickets and reflect who's actually performing best in context — the kind of player you'd want on your side for the next game.

What is the difference between Average MI and Total MI?

Average MI ranks players by their per-game impact, with a 50%-of-team-games minimum so half-season cameos don't distort the order. Total MI ranks by cumulative season contribution, which favours players who played every match. Both views use the same underlying per-match rating.

Who is the top-rated player in Cricket?

Saurabh Netravalkar currently leads the Cricket Statz MVP rankings with 36.7 Avg MI across 12 matches. The full list is in the table above, and you can switch between Average and Total to see different leaders.

How often is the leaderboard updated?

The rankings recalculate automatically after every completed fixture — no manual refresh needed. The latest update was at 18:27, 9 Nov 2026 (UK time).

Why does a player I expect to see not appear?

The default Average MI view requires a player to have appeared in at least 50% of their team's matches, so half-season signings and injury returnees are filtered out. Open the filters and switch off "Exclude small samples", and they will show up if they have played at all. Associate nations' T20 internationals count once "Major nations only" is off.

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