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. 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 Asian Spin bowlers in matches Outside Asia in T20Is.
*Note: All T20I Ratings are updated till 2025-02-15
UC RATING
Points to note about ASIANS OUTSIDE 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 ASIANS OUTSIDE ASIA Rating is divided into 5 main sections:-
| CRITERIA | STAT | POINTS |
|---|---|---|
| Prolific | Wickets Taken | 200.00 |
| Consistent | Average | 250.00 |
| Economic | Strike Rate | 300.00 |
| Best Bowling | Top Inns (Wkts) | 100.00 |
| 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.
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.
- NWT may be found in the last section.
QUALIFICATION
| Min Innings (NWT) | 10 |
PROLIFIC
Criteria: Points For Wickets Taken
| RANK | BOWLER | NAT | FP | LP | MP | INNS | WKTS | RAT |
|---|---|---|---|---|---|---|---|---|
| TS | Shahid Afridi | PAK | 2006 | 2023 | 2014.5 | 48 | 56 | 200.00 |
| 1 | Shahid Afridi | PAK | 2006 | 2023 | 2014.5 | 48 | 56 | 200.00 |
| 2 | Shakib Al Hasan | BAN | 2006 | 2024 | 2015 | 50 | 50 | 178.57 |
| 3 | Shadab Khan | PAK | 2017 | 2024 | 2020.5 | 46 | 49 | 175.00 |
| 4 | Rashid Khan | AFG | 2015 | 2024 | 2019.5 | 30 | 47 | 167.86 |
| 5 | W Hasaranga | SL | 2019 | 2025 | 2022 | 27 | 44 | 157.14 |
| 5 | Kuldeep Yadav | IND | 2017 | 2024 | 2020.5 | 21 | 44 | 157.14 |
| 7 | Saeed Ajmal | PAK | 2009 | 2015 | 2012 | 28 | 38 | 135.71 |
| 8 | Mohammad Hafeez | PAK | 2007 | 2021 | 2014 | 34 | 37 | 132.14 |
| 9 | BAW Mendis | SL | 2008 | 2014 | 2011 | 19 | 32 | 114.29 |
| 10 | Rishad Hossain | BAN | 2023 | 2024 | 2023.5 | 16 | 25 | 89.29 |
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 | 15 |
| Min Wickets (NWT) | 10 |
Against All Teams
| RANK | BOWLER | INNS | RUNS | WKTS | AVE | R AVE | RAT |
|---|---|---|---|---|---|---|---|
| TS | Kuldeep Yadav | 21 | 507 | 44 | 11.52 | 12.26 | 100.00 |
| 1 | Kuldeep Yadav | 21 | 507 | 44 | 11.52 | 12.26 | 100.00 |
| 2 | BAW Mendis | 19 | 414 | 32 | 12.94 | 14.81 | 82.78 |
| 3 | Rishad Hossain | 16 | 356 | 25 | 14.24 | 15.41 | 79.60 |
| 4 | W Hasaranga | 27 | 717 | 44 | 16.30 | 17.08 | 71.78 |
| 5 | Rashid Khan | 30 | 740 | 47 | 15.74 | 18.26 | 67.17 |
| 6 | Mohammad Hafeez | 34 | 638 | 37 | 17.24 | 18.50 | 66.30 |
| 7 | Saeed Ajmal | 28 | 683 | 38 | 17.97 | 18.61 | 65.91 |
| 8 | Shahid Afridi | 48 | 1178 | 56 | 21.04 | 23.04 | 53.22 |
| 9 | Shadab Khan | 46 | 1281 | 49 | 26.14 | 26.33 | 46.57 |
| 10 | Shakib Al Hasan | 50 | 1274 | 50 | 25.48 | 27.16 | 45.15 |
Against Non Weak Teams
| RANK | BOWLER | INNS | RUNS | WKTS | AVE | R AVE | RAT |
|---|---|---|---|---|---|---|---|
| TS | Kuldeep Yadav | 19 | 470 | 37 | 12.70 | 13.52 | 150.00 |
| 1 | Kuldeep Yadav | 19 | 470 | 37 | 12.70 | 13.52 | 150.00 |
| 2 | Rishad Hossain | 11 | 264 | 18 | 14.67 | 15.87 | 127.80 |
| 3 | BAW Mendis | 15 | 351 | 22 | 15.95 | 18.27 | 111.01 |
| 4 | Rashid Khan | 13 | 317 | 20 | 15.85 | 18.38 | 110.33 |
| 5 | W Hasaranga | 22 | 604 | 33 | 18.30 | 19.19 | 105.68 |
| 6 | Saeed Ajmal | 23 | 583 | 29 | 20.10 | 20.81 | 97.44 |
| 7 | Shahid Afridi | 36 | 923 | 39 | 23.67 | 25.92 | 78.22 |
| 8 | Shakib Al Hasan | 31 | 775 | 30 | 25.83 | 27.54 | 73.64 |
| 9 | Shadab Khan | 37 | 1043 | 38 | 27.45 | 27.65 | 73.35 |
| 10 | Mohammad Hafeez | 24 | 468 | 18 | 26.00 | 27.89 | 72.71 |
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 | 200 |
Against All Teams
| RANK | BOWLER | INNS | BLS | RUNS | ER | R ER | RAT |
|---|---|---|---|---|---|---|---|
| TS | Imad Wasim | 31 | 672 | 718 | 6.41 | 6.07 | 100.00 |
| 1 | Kuldeep Yadav | 21 | 482 | 507 | 6.31 | 6.12 | 99.19 |
| 2 | BAW Mendis | 19 | 426 | 414 | 5.83 | 6.17 | 98.41 |
| 3 | Shahid Afridi | 48 | 1076 | 1178 | 6.57 | 6.68 | 90.94 |
| 4 | Saeed Ajmal | 28 | 613 | 683 | 6.69 | 6.69 | 90.85 |
| 5 | Rashid Khan | 30 | 672 | 740 | 6.61 | 6.75 | 89.98 |
| 6 | Rishad Hossain | 16 | 324 | 356 | 6.59 | 6.80 | 89.28 |
| 7 | W Hasaranga | 27 | 602 | 717 | 7.15 | 6.86 | 88.58 |
| 8 | Mohammad Hafeez | 34 | 541 | 638 | 7.08 | 7.11 | 85.39 |
| 9 | Shadab Khan | 46 | 1006 | 1281 | 7.64 | 7.24 | 83.96 |
| 10 | Shakib Al Hasan | 50 | 1059 | 1274 | 7.22 | 7.27 | 83.57 |
Against Non Weak Teams
| RANK | BOWLER | INNS | BLS | RUNS | ER | R ER | RAT |
|---|---|---|---|---|---|---|---|
| TS | Kuldeep Yadav | 19 | 443 | 470 | 6.37 | 6.18 | 200.00 |
| 1 | Kuldeep Yadav | 19 | 443 | 470 | 6.37 | 6.18 | 200.00 |
| 2 | BAW Mendis | 15 | 342 | 351 | 6.16 | 6.52 | 189.52 |
| 3 | Rashid Khan | 13 | 288 | 317 | 6.60 | 6.75 | 183.08 |
| 4 | Shahid Afridi | 36 | 818 | 923 | 6.77 | 6.88 | 179.45 |
| 5 | Saeed Ajmal | 23 | 505 | 583 | 6.93 | 6.93 | 178.33 |
| 6 | W Hasaranga | 22 | 482 | 604 | 7.52 | 7.22 | 171.23 |
| 7 | Shadab Khan | 37 | 820 | 1043 | 7.63 | 7.23 | 170.94 |
| 8 | Rishad Hossain | 11 | 222 | 264 | 7.14 | 7.36 | 167.76 |
| 9 | Shakib Al Hasan | 31 | 631 | 775 | 7.37 | 7.42 | 166.47 |
| 10 | Mohammad Hafeez | 24 | 372 | 468 | 7.55 | 7.59 | 162.78 |
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 | Kuldeep Yadav | 5/17 | 5/24 | 3/12 | 3/19 | 3/19 | 3.80 | 100.00 |
| 1 | Kuldeep Yadav | 5/17 | 5/24 | 3/12 | 3/19 | 3/19 | 3.80 | 100.00 |
| 2 | Rashid Khan | 4/17 | 4/23 | 3/26 | 2/31 | 2/48 | 3.00 | 78.95 |
| 2 | Saeed Ajmal | 4/26 | 3/26 | 3/34 | 3/35 | 2/18 | 3.00 | 78.95 |
| 2 | Shadab Khan | 4/14 | 3/7 | 3/34 | 3/52 | 2/16 | 3.00 | 78.95 |
| 5 | BAW Mendis | 3/9 | 3/20 | 3/23 | 3/24 | 2/9 | 2.80 | 73.68 |
| 5 | W Hasaranga | 3/12 | 3/13 | 3/17 | 3/38 | 2/13 | 2.80 | 73.68 |
| 5 | Shahid Afridi | 4/14 | 3/18 | 3/28 | 2/16 | 2/23 | 2.80 | 73.68 |
| 8 | Rishad Hossain | 3/21 | 3/22 | 3/26 | 2/12 | 2/23 | 2.60 | 68.42 |
| 9 | Shakib Al Hasan | 4/34 | 2/19 | 2/21 | 2/22 | 2/24 | 2.40 | 63.16 |
| 10 | Mohammad Hafeez | 3/25 | 3/28 | 2/4 | 2/25 | 1/6 | 2.20 | 57.89 |
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 12+ 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 | W Hasaranga | 4.0/12 | 4.0/12 | 4.0/13 | 4.0/13 | 4.0/17 | 3.21 | 150.00 |
| 1 | W Hasaranga | 4.0/12 | 4.0/12 | 4.0/13 | 4.0/13 | 4.0/17 | 3.21 | 150.00 |
| 2 | Mohammad Hafeez | 4.0/6 | 2.0/4 | 4.0/9 | 3.0/11 | 4.0/25 | 3.25 | 148.24 |
| 3 | Shadab Khan | 4.0/7 | 4.0/14 | 4.0/16 | 4.0/18 | 4.0/19 | 3.50 | 137.62 |
| 4 | Shahid Afridi | 4.0/14 | 4.0/15 | 4.0/16 | 4.0/17 | 4.0/18 | 4.07 | 118.55 |
| 5 | BAW Mendis | 4.0/9 | 3.0/9 | 4.0/18 | 4.0/19 | 4.0/19 | 4.12 | 116.96 |
| 6 | Kuldeep Yadav | 4.0/12 | 4.0/18 | 4.0/19 | 4.0/19 | 4.0/19 | 4.22 | 114.24 |
| 7 | Shakib Al Hasan | 4.0/13 | 4.0/17 | 4.0/19 | 4.0/19 | 2.0/10 | 4.36 | 110.50 |
| 8 | Rashid Khan | 4.0/14 | 4.0/17 | 4.0/17 | 3.0/14 | 4.0/22 | 4.52 | 106.75 |
| 9 | Saeed Ajmal | 3.0/13 | 3.1/14 | 3.3/18 | 4.0/21 | 4.0/23 | 5.04 | 95.71 |
| 10 | Rishad Hossain | 3.0/10 | 3.0/12 | 4.0/21 | 4.0/22 | 4.0/26 | 5.22 | 92.42 |
ASIANS OUTSIDE ASIA RATING
The ASIANS OUTSIDE ASIA (UC) 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 | UC RAT |
|---|---|---|---|---|---|---|---|
| 1 | Kuldeep Yadav | 157.14 | 250.00 | 299.19 | 100.00 | 114.24 | 920.57 |
| 2 | W Hasaranga | 157.14 | 177.46 | 259.81 | 73.68 | 150.00 | 818.10 |
| 3 | Rashid Khan | 167.86 | 177.49 | 273.06 | 78.95 | 106.75 | 804.11 |
| 4 | Shahid Afridi | 200.00 | 131.45 | 270.39 | 73.68 | 118.55 | 794.07 |
| 5 | BAW Mendis | 114.29 | 193.79 | 287.93 | 73.68 | 116.96 | 786.65 |
| 6 | Shadab Khan | 175.00 | 119.93 | 254.90 | 78.95 | 137.62 | 766.39 |
| 7 | Saeed Ajmal | 135.71 | 163.36 | 269.19 | 78.95 | 95.71 | 742.91 |
| 8 | Mohammad Hafeez | 132.14 | 139.01 | 248.17 | 57.89 | 148.24 | 725.45 |
| 9 | Shakib Al Hasan | 178.57 | 118.79 | 250.04 | 63.16 | 110.50 | 721.06 |
| 10 | Rishad Hossain | 89.29 | 207.41 | 257.04 | 68.42 | 92.42 | 714.57 |
NON WEAK TEAMS
| DECADE OF MAT | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2000s | PAK | SA | SL | IND | WI | AUS | NZ | ENG | ||
| 2010s | IND | SA | PAK | AUS | ENG | NZ | SL | WI | BAN | |
| 2020s | IND | AUS | ENG | NZ | PAK | SA | WI | BAN | SL | AFG |