Top 10 T20I Spin Bowlers Away From Home

Our T20 International (T20I) ratings take into account all matches from the first T20I match on February 17, 2005 till the below mentioned last update date. The Ratings are divided into 5 sections which take into account the number of wickets taken; the average of bowlers; their economy rate; their best performances by wickets and their top most economic spells. How the rating works is explained in highlighted sections. So, here are the Top 10 Spin bowlers in matches Away From Home

*Note: All T20I Ratings are updated till 2022-11-13

AWAY Rating

This rating only includes stats of Spin bowlers in matches Away From Home. The rating is divided into sections to make it easy to understand how it is calculated. Before each section, its criteria is highlighted in bold. Our ratings are dynamic, and as new matches are played, the rating of earlier bowlers may change if current bowlers set new benchmarks. It is to be noted that U.A.E. is considered as a second Home for Pakistan and Afghanistan. All stats of Pakistani and Afghani bowlers are calculated accordingly.

Top Teams (TT)

Top Teams play an integral part in our T20I Rating. The Average (Con) and Economy (Eco) sections are divided into overall stats as well as stats against the top teams. Moreover, the best (BBW) and most economic (BBE) performances only include performances against the top teams. Here is how the Top Teams are calculated:-

  • Win/Loss Ratio is used to determine top teams.
  • The top teams are calculated by decades.
  • To be a top team, the team should be among the top teams of the decade overall.
  • A team is also included in top teams if it is a World Cup winner in that decade.
  • A bowler’s performace is counted in TT if he played against that team in that decade.
  • Knock Out matches of ICC World Cup are also included in TT.
  • The Top Teams may be found in the last section of the rating.
The Trend Setter

The Trend Setter (TS) is the player which does the best in a criteria. The rating of all other players are calculated as percentage points of TS. Let’s taken an example to understand it:-

  • Let’s assume that Trent Boult has taken 100 wkts, which is the highest. This makes him the TS.
  • Another player, say Dale Steyn, has taken 50 wkts.
  • If the rating is out of 200, Boult will get the full points (pts), that is 200.
  • The points of Steyn are calculated as His Wkts/Boult’s Wkts*200. This comes out to be 100.
  • Thus the formula is (Wkts Taken/Wkts Taken By TS)*Max Points.
  • All ratings are calculated similarly with Wkts being replaced by the Criteria Stat.
  • Obviously, for average the formula is reverased as lower average is better for a bowler.
  • For Average, a bowler is eligible to be TS only if he has taken a minimum number of wickets.
  • For Economy, a bowler is eligible to be TS only if he has bowled a minimum number of balls.
  • If a bowler doesn’t fulfill the criteria of TS but has done better, he gets the max points but his stat is not taken as benchmark.
  • Lastly, it is to be noted that it is not necessary for a TS to be part of the rating as he might have topped in a criteria but not done well in others.

QUALIFICATION


Min Innings 15
Min Innings (TT) 15
Min Wickets (TS AVE) 20
Min Balls (TS ECO) 250

PROLIFIC


Criteria: Points For Wickets Taken

RANK BOWLER NAT FP LP INNS WKTS RAT
TS Rashid Khan AFG 2015 2022 50 84 200.00
1 Rashid Khan AFG 2015 2022 50 84 200.00
2 Shakib Al Hasan BAN 2006 2022 65 76 180.95
2 Shahid Afridi PAK 2006 2018 73 76 180.95
4 W Hasaranga SL 2019 2022 37 66 157.14
5 Saeed Ajmal PAK 2009 2015 45 59 140.48
6 T Shamsi SA 2017 2022 36 53 126.19
7 MJ Santner NZ 2015 2022 38 44 104.76
8 Ajantha Mendis SL 2008 2014 26 40 95.24
9 GP Swann ENG 2008 2012 22 34 80.95
10 SP Narine WI 2012 2019 28 32 76.19
C Ave

The Comparative Average (C Ave) for bowlers is calculated by taken into account two factors:-

  • First is the average of batsmen in the decades the bowler played.
  • Second is the average of the opposition batsmen at Home, in Asia or outside Asia; whichever is applicable.
  • The average of the opposing team’s batsmen is also calculated by decades.
  • Higher C Ave suggest that more runs were scored by the batsmen in the above mentioned factors.
  • Thus it was difficult to get Wkts and the bowler will benefit from this.
  • Lower C Ave means the opposite.
R Ave

The Relative Average (R Ave) is calculated using the C Ave. Its formula is (Bowler Ave/C Ave)*A Constant Factor. This constant doesn’t affect the rating as it is the same for everone. If your C Ave is comparatively high, your R Ave will be low; which is better for bowlers. Broadly speaking, the following bowlers will benefit from this system:-

  • Bowlers who have played more in unfavourable conditions.
  • Bowlers who have played more against top opposition than weaker teams.

CONSISTENT


Criteria: Points For R Ave

Against All Teams

RANK BOWLER INNS RUNS WKTS AVE C AVE R AVE RAT
TS W Hasaranga 37 908 66 13.76 25.19 13.38 150.00
1 W Hasaranga 37 908 66 13.76 25.19 13.38 150.00
2 GP Swann 22 501 34 14.74 26.04 13.86 144.79
3 Ajantha Mendis 26 621 40 15.53 25.26 15.06 133.29
4 T Shamsi 36 850 53 16.04 24.81 15.84 126.73
5 Rashid Khan 50 1221 84 14.54 22.11 16.11 124.60
6 Saeed Ajmal 45 1127 59 19.10 25.23 18.55 108.22
7 SP Narine 28 644 32 20.13 26.54 18.58 108.01
8 MJ Santner 38 914 44 20.77 25.20 20.20 99.38
9 Shakib Al Hasan 65 1660 76 21.84 24.75 21.62 92.82
10 Shahid Afridi 73 1827 76 24.04 24.32 24.21 82.89

Against Top Teams

RANK BOWLER INNS RUNS WKTS AVE C AVE R AVE RAT
TS GP Swann 22 501 34 14.74 26.04 13.86 150.00
1 GP Swann 22 501 34 14.74 26.04 13.86 150.00
2 W Hasaranga 28 705 49 14.39 25.19 13.99 148.59
3 T Shamsi 30 700 38 18.42 24.81 18.19 114.30
4 MJ Santner 28 659 35 18.83 25.20 18.31 113.59
5 Rashid Khan 22 533 32 16.66 22.11 18.46 112.65
6 SP Narine 27 623 31 20.10 26.54 18.56 112.05
7 Ajantha Mendis 21 546 27 20.22 25.26 19.61 106.01
8 Saeed Ajmal 40 1027 50 20.54 25.23 19.94 104.26
9 Shahid Afridi 61 1562 58 26.93 24.32 27.12 76.65
10 Shakib Al Hasan 50 1294 47 27.53 24.75 27.25 76.29
C ER And R ER

The Comparative Economy Rate (C ER) and Relative Economy Rate (R ER) for bowlers is calculated using the same method as in C Ave and R Ave with average replaced with ER.

ECONOMIC


Criteria: Points For R ER

Against All Teams

RANK BOWLER INNS BLS RUNS ER C ER R ER RAT
TS DL Vettori 27 619 614 5.95 7.11 5.86 150.00
1 SP Narine 28 634 644 6.09 7.27 5.87 149.71
2 GP Swann 22 474 501 6.34 7.24 6.14 143.17
3 W Hasaranga 37 834 908 6.53 7.35 6.22 141.27
4 Ajantha Mendis 26 579 621 6.44 7.22 6.24 140.77
5 MJ Santner 38 829 914 6.62 7.32 6.33 138.77
6 T Shamsi 36 766 850 6.66 7.29 6.39 137.46
7 Shahid Afridi 73 1658 1827 6.61 7.15 6.48 135.62
8 Rashid Khan 50 1140 1221 6.43 6.94 6.48 135.57
9 Saeed Ajmal 45 1011 1127 6.69 7.20 6.50 135.10
10 Shakib Al Hasan 65 1435 1660 6.94 7.21 6.74 130.36

Against Top Teams

RANK BOWLER INNS BLS RUNS ER C ER R ER RAT
TS SP Narine 27 610 623 6.13 7.27 5.90 150.00
1 SP Narine 27 610 623 6.13 7.27 5.90 150.00
2 GP Swann 22 474 501 6.34 7.24 6.14 144.23
3 MJ Santner 28 601 659 6.58 7.32 6.29 140.57
4 Rashid Khan 22 510 533 6.27 6.94 6.32 139.97
5 W Hasaranga 28 630 705 6.71 7.35 6.39 138.46
6 T Shamsi 30 622 700 6.75 7.29 6.48 136.54
7 Ajantha Mendis 21 480 546 6.83 7.22 6.62 133.72
8 Saeed Ajmal 40 903 1027 6.82 7.20 6.63 133.40
9 Shahid Afridi 61 1382 1562 6.78 7.15 6.64 133.21
10 Shakib Al Hasan 50 1087 1294 7.14 7.21 6.93 127.62
BBW

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

BEST BOWLING (WKTS)


Criteria: Points For Wkts Taken In Top 5 Inns

RANK BOWLER 1 2 3 4 5 BBW RAT
TS AC Agar 6/30 5/24 3/16 3/27 2/11 3.80 100.00
1 T Shamsi 5/24 4/25 3/17 3/20 3/27 3.60 94.74
2 Saeed Ajmal 4/26 4/30 3/17 3/18 3/26 3.40 89.47
3 MJ Santner 4/11 3/12 3/15 3/19 3/27 3.20 84.21
3 SP Narine 4/12 3/9 3/16 3/20 3/34 3.20 84.21
5 W Hasaranga 3/12 3/13 3/17 3/20 3/21 3.00 78.95
6 Shakib Al Hasan 4/34 3/24 3/27 2/17 2/19 2.80 73.68
6 Ajantha Mendis 3/9 3/20 3/23 3/24 2/9 2.80 73.68
6 Shahid Afridi 4/14 3/18 3/28 2/16 2/17 2.80 73.68
9 Rashid Khan 4/12 3/13 2/17 2/23 2/26 2.60 68.42
9 GP Swann 3/13 3/14 3/24 2/17 2/18 2.60 68.42
BBE

In this criteria, we have taken the top 5 bowling performances by Economy of a bowler against top teams. Best Bowling By Economy (BBE) is the Relative Economy of the bowler in the 5 Inns. Only 12+ Balls performaces are counted in this criteria.

BEST BOWLING (ECO)


Criteria: Points For Economy In Top 5 Inns

RANK BOWLER 1 2 3 4 5 BBE RAT
TS Mohammad Hafeez 4.0/6 2.0/4 4.0/9 4.0/11 3.0/11 2.35 100.00
1 W Hasaranga 4.0/12 4.0/12 4.0/13 4.0/13 4.0/17 3.19 73.73
2 SP Narine 3.4/9 4.0/12 4.0/14 4.0/15 4.0/16 3.23 72.77
3 T Shamsi 4.0/11 4.0/13 4.0/13 4.0/16 4.0/16 3.31 71.00
4 Rashid Khan 4.0/8 4.0/12 4.0/14 4.0/17 4.0/17 3.43 68.59
5 MJ Santner 4.0/11 4.0/12 4.0/15 4.0/15 4.0/19 3.44 68.26
6 Shakib Al Hasan 4.0/13 4.0/13 4.0/16 4.0/17 2.0/9 3.67 64.11
7 Shahid Afridi 4.0/14 4.0/15 4.0/15 4.0/16 4.0/17 3.77 62.34
8 GP Swann 4.0/13 4.0/14 4.0/17 4.0/17 4.0/17 3.77 62.32
9 Ajantha Mendis 4.0/9 3.0/9 4.0/18 4.0/19 4.0/19 3.78 62.26
10 Saeed Ajmal 4.0/17 3.0/13 3.1/14 4.0/18 4.0/18 4.28 54.92
AW Rating

The AWAY (AW) Rating is the addition of the points of all the above criteria. The rating is out of 1,000.

RATING


RANK BOWLER PRO CON C TT ECO E TT BBW BBE AW RAT
1 W Hasaranga 157.14 150.00 148.59 141.27 138.46 78.95 73.73 888.14
2 Rashid Khan 200.00 124.60 112.65 135.57 139.97 68.42 68.59 849.80
3 T Shamsi 126.19 126.73 114.30 137.46 136.54 94.74 71.00 806.95
4 GP Swann 80.95 144.79 150.00 143.17 144.23 68.42 62.32 793.88
5 Saeed Ajmal 140.48 108.22 104.26 135.10 133.40 89.47 54.92 765.85
6 SP Narine 76.19 108.01 112.05 149.71 150.00 84.21 72.77 752.95
7 MJ Santner 104.76 99.38 113.59 138.77 140.57 84.21 68.26 749.53
8 Shakib Al Hasan 180.95 92.82 76.29 130.36 127.62 73.68 64.11 745.85
9 Shahid Afridi 180.95 82.89 76.65 135.62 133.21 73.68 62.34 745.35
10 Ajantha Mendis 95.24 133.29 106.01 140.77 133.72 73.68 62.26 744.97

TOP TEAMS


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


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