Top 10 Non-Asian Spin Bowlers In ODIs In Asia

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Our One Day International (ODI) ratings take into account all matches from the first ODI match on January 5, 1971 till the below mentioned last update date. Most of our ratings are dynamic, and as new matches are played, the rating of earlier bowlers may change if current bowlers set new benchmarks. Brief explanation of the ratings is given before each section (Detailed Explanation). So, here are the Top 10 Non Asian Spin bowlers in matches In Asia in ODIs.

*Note: All ODI Ratings are updated till 2024-06-09

FC RATING

Points to note about NON ASIANS IN ASIA Rating:-

  • Unfavourable Conditions (UC) is Outside Asia for Spinnrs and In Asia for Pacers.
  • Favourable Conditions (FC) are the opposite.
  • This categorization has been done as there are more points for UC in our Overall Rating.

THE CRITERIA


The NON ASIANS IN ASIA Rating is divided into 5 main sections:-

CRITERIA STAT POINTS
Prolific Wickets Taken 300.00
Consistent Average 200.00
Economic Strike Rate 200.00
Best Bowling Top Inns (Wkts) 150.00
Economic Bowling Top Inns (Eco) 150.00
The Trend Setter (TS)

TS is the player which does the best in a criteria. The rating of all other players are calculated taking the TS as the benchmark. Know All About TS. Here is an example:-

  • TS Ave: 25.00; Player X Ave: 30.00; Section Points: 300.00
  • TS Points: 300.00(Max); Player X Points: TS Ave/Ave X 300 = 25.00/30.00 X 300 = 250.00
  • Ratings of all sections are calculated similarly with Ave being replaced by the Criteria Stat.
  • Knock Out matches of T20 World Cup are also counted in TT.
Non Weak Teams (NWT)

Some sections consider performances only against Non Weak Teams. Here is some information about the Non Weak Teams:-

  • Win/Loss Ratio is used to determine Non Weak Teams.
  • The Non Weak Teams are calculated by decades.
  • A bowler’s performace is counted in NWT if it comes against the team in the specific decade.

QUALIFICATION


Min Innings (NWT) 10

PROLIFIC


Criteria: Points For Wickets Taken

RANK BOWLER NAT FP LP MP INNS WKTS RAT
TS RA Harper WI 1983 1996 1989.5 46 42 250.00
1 RA Harper WI 1983 1996 1989.5 46 42 250.00
RANK BOWLER NAT FP LP MP INNS WKTS RAT
TS CL Hooper WI 1987 2003 1995 74 79 300.00
1 CL Hooper WI 1987 2003 1995 74 79 300.00
2 DL Vettori NZ 1997 2015 2006 64 77 292.41
3 SK Warne AUS 1993 2005 1999 41 56 212.66
4 GB Hogg AUS 1996 2008 2002 27 38 144.30
5 RW Price ZIM 2002 2012 2007 30 37 140.51
RANK BOWLER NAT FP LP MP INNS WKTS RAT
TS A Zampa AUS 2016 2024 2020 40 72 290.00
1 A Zampa AUS 2016 2024 2020 40 72 290.00
2 AU Rashid ENG 2009 2023 2016 27 46 185.28
3 Imran Tahir SA 2011 2019 2015 20 38 153.06
4 KA Maharaj SA 2017 2023 2020 17 24 96.67

CONSISTENT


R Ave

Relative Average (R Ave) is a more accurate type of average. Know How It Is Calculated. Briefly it takes into account:-

  • Strength of Opposition.
  • Venues at which a bowler has played.
  • Time Period in which he has been active

Criteria: Points For R Ave

Min Qualification For TS
Min Wickets 25
Min Wickets (NWT) 25

Against All Teams

RANK BOWLER INNS RUNS WKTS AVE R AVE RAT
TS Imran Tahir 20 820 38 21.58 21.52 100.00
1 Imran Tahir 20 820 38 21.58 21.52 100.00
2 KA Maharaj 17 607 24 25.29 22.85 94.17
3 A Zampa 40 1953 72 27.13 22.99 93.58
4 GB Hogg 27 938 38 24.68 25.06 85.85
5 AU Rashid 27 1293 46 28.11 26.32 81.76
6 SK Warne 41 1649 56 29.45 29.18 73.74
7 RW Price 30 953 37 25.76 29.41 73.17
8 DL Vettori 64 2276 77 29.56 29.86 72.06
9 CL Hooper 74 2499 79 31.63 31.55 68.21
10 RA Harper 46 1606 42 38.24 40.25 53.45

Against Non Weak Teams

RANK BOWLER INNS RUNS WKTS AVE R AVE RAT
TS Imran Tahir 19 801 35 22.89 22.82 100.00
1 KA Maharaj 16 569 23 24.74 22.35 100.00
2 Imran Tahir 19 801 35 22.89 22.82 100.00
3 A Zampa 39 1945 68 28.60 24.25 94.12
4 GB Hogg 26 912 37 24.65 25.02 91.18
5 AU Rashid 26 1239 43 28.81 26.98 84.59
6 DL Vettori 61 2201 75 29.35 29.64 76.98
7 SK Warne 37 1491 48 31.06 30.78 74.14
8 CL Hooper 71 2408 76 31.68 31.60 72.22
9 RW Price 27 881 30 29.37 33.53 68.06
10 RA Harper 43 1545 37 41.76 43.96 51.91

ECONOMIC


R ER

Relative Economy Rate (R ER) for bowlers is calculated using the same method as R Ave with average being replaced with ER.

Criteria: Points For R ER

Min Qualification For TS
Min Balls 750

Against All Teams

RANK BOWLER INNS BLS RUNS ER R ER RAT
TS KA Maharaj 17 882 607 4.13 3.57 100.00
1 KA Maharaj 17 882 607 4.13 3.57 100.00
2 RW Price 30 1592 953 3.59 3.61 98.80
3 RA Harper 46 2484 1606 3.88 3.91 91.26
4 DL Vettori 64 3359 2276 4.07 3.94 90.40
5 SK Warne 41 2269 1649 4.36 4.22 84.49
6 GB Hogg 27 1285 938 4.38 4.25 83.89
7 CL Hooper 74 3427 2499 4.38 4.28 83.40
8 Imran Tahir 20 1040 820 4.73 4.39 81.24
9 A Zampa 40 2158 1953 5.43 4.62 77.13
10 AU Rashid 27 1396 1293 5.56 4.95 71.98

Against Non Weak Teams

RANK BOWLER INNS BLS RUNS ER R ER RAT
TS KA Maharaj 16 828 569 4.12 3.56 100.00
1 KA Maharaj 16 828 569 4.12 3.56 100.00
2 RW Price 27 1442 881 3.67 3.68 96.66
3 DL Vettori 61 3203 2201 4.12 4.00 89.01
4 RA Harper 43 2316 1545 4.00 4.03 88.32
5 SK Warne 37 2032 1491 4.40 4.26 83.56
6 CL Hooper 71 3287 2408 4.40 4.30 82.89
7 GB Hogg 26 1231 912 4.45 4.31 82.53
8 Imran Tahir 19 999 801 4.81 4.46 79.77
9 A Zampa 39 2140 1945 5.45 4.64 76.69
10 AU Rashid 26 1348 1239 5.51 4.92 72.43

BEST BOWLING BY WKTS (NWT)


BBW

In this criteria, we have taken the top 5 bowling performances by Wkts of a bowler against Non Weak Teams. Best Bowling By Wickets (BBW) is simply the total wickets taken in the 5 innings divided by 5.

Criteria: Points For Wkts Taken In Top 5 Inns

RANK BOWLER 1 2 3 4 5 BBW RAT
TS A Zampa 4/38 4/43 4/45 4/47 4/53 4.00 150.00
1 A Zampa 4/38 4/43 4/45 4/47 4/53 4.00 150.00
2 AU Rashid 4/36 4/43 4/45 4/49 3/42 3.80 142.50
3 GB Hogg 5/41 4/49 3/17 3/34 3/37 3.60 135.00
3 SK Warne 4/34 4/36 4/40 3/29 3/29 3.60 135.00
3 Imran Tahir 4/38 4/41 4/53 3/45 3/50 3.60 135.00
6 CL Hooper 4/34 4/37 3/9 3/32 3/33 3.40 127.50
7 DL Vettori 4/14 3/8 3/25 3/32 3/34 3.20 120.00
8 RA Harper 4/47 3/31 3/34 2/8 2/34 2.80 105.00
9 KA Maharaj 4/46 3/38 2/25 2/30 2/30 2.60 97.50
10 RW Price 4/22 2/5 2/9 2/21 2/29 2.40 90.00

BEST BOWLING BY ECO (NWT)


BBE

In this criteria, we have taken the top 5 bowling performances by Economy of a bowler against Non Weak Teams. Best Bowling By Economy (BBE) is the Relative Economy of the bowler in the 5 Inns. Only 30+ Balls performaces are counted in this criteria.

Criteria: Points For Economy In Top 5 Inns

RANK BOWLER 1 2 3 4 5 BBE RAT
TS DL Vettori 10.0/14 9.0/18 10.0/20 9.0/19 7.0/15 1.85 150.00
1 DL Vettori 10.0/14 9.0/18 10.0/20 9.0/19 7.0/15 1.85 150.00
2 RW Price 7.0/9 10.0/20 10.0/21 10.0/21 10.0/22 1.99 139.88
3 RA Harper 9.0/8 10.0/15 9.0/21 9.0/22 9.0/25 1.99 139.59
4 KA Maharaj 10.0/24 10.0/25 8.0/23 10.0/30 10.0/30 2.37 117.12
5 CL Hooper 10.0/18 8.0/20 10.0/27 8.0/22 8.0/22 2.42 114.89
6 SK Warne 10.0/25 10.0/28 10.0/28 10.0/29 10.0/29 2.69 103.37
7 A Zampa 10.0/21 10.0/32 8.0/30 10.0/38 10.0/38 2.82 98.62
8 GB Hogg 6.0/17 8.0/23 9.0/28 10.0/35 10.0/37 3.16 88.02
9 Imran Tahir 10.0/28 10.0/29 9.0/32 5.0/20 10.0/41 3.16 87.93
10 AU Rashid 10.0/32 10.0/35 10.0/36 10.0/38 5.0/21 3.21 86.67

NON ASIANS IN ASIA RATING


The NON ASIANS IN ASIA (FC) Rating is the addition of the points of all the above criteria. The rating is out of 1,000.

RANK BOWLER PRO CON ECO BBW BBE FC RAT
1 DL Vettori 292.41 149.04 179.41 120.00 150.00 890.85
2 A Zampa 290.00 187.69 153.83 150.00 98.62 880.14
3 CL Hooper 300.00 140.43 166.29 127.50 114.89 849.10
4 RA Harper 250.00 105.37 179.58 105.00 139.59 779.53
5 SK Warne 212.66 147.88 168.05 135.00 103.37 766.95
6 Imran Tahir 153.06 200.00 161.01 135.00 87.93 737.00
7 AU Rashid 185.28 166.35 144.40 142.50 86.67 725.20
8 GB Hogg 144.30 177.04 166.42 135.00 88.02 710.78
9 RW Price 140.51 141.23 195.46 90.00 139.88 707.08
10 KA Maharaj 96.67 194.17 200.00 97.50 117.12 705.46

NON WEAK TEAMS


DECADE OF MAT 1 2 3 4 5 6 7 8 9 10
1970s WI ENG AUS NZ PAK IND
1980s WI ENG AUS PAK IND NZ SL
1990s SA AUS PAK WI IND SL ENG NZ
2000s AUS SA SL PAK IND NZ ENG WI BAN
2010s IND SA AUS ENG NZ PAK SL BAN WI
2020s IND AUS PAK SA NZ BAN SL ENG WI AFG


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