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. Brief explanation of the ratings is given before each section
(Detailed Explanation).
So, here are the Top 10 Spin bowlers while successfully defending a total in T20Is.
*Note: All T20I Ratings are updated till 2026-03-08
THE CRITERIA
The CHASE BUSTERS 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.
TT and NWT
Some sections consider performances only against the top teams (TT) and non weak teams (NWT). Here is some information:-
- Win/Loss Ratio is used to determine TT and NWT.
- They are calculated by decades.
- A bowler's performace is counted in TT or NWT if it comes against that team in the specific decade.
- Knock Out matches of T20 World Cup are also counted in TT.
- TT & NWT may be found in the last section.
QUALIFICATION
| Min Innings (TT) | 10 |
| Min Career Wkts | 25 |
PROLIFIC
Criteria: Points For Wickets Taken
| RANK | BOWLER | NAT | FP | LP | MP | INNS | WKTS | RAT |
|---|---|---|---|---|---|---|---|---|
| TS | IS Sodhi | NZ | 2014 | 2026 | 2020 | 51 | 85 | 200.00 |
| 1 | IS Sodhi | NZ | 2014 | 2026 | 2020 | 51 | 85 | 200.00 |
| 2 | MJ Santner | NZ | 2015 | 2026 | 2020.5 | 47 | 70 | 164.71 |
| 3 | Shadab Khan | PAK | 2017 | 2026 | 2021.5 | 41 | 65 | 152.94 |
| 4 | Shakib Al Hasan | BAN | 2006 | 2024 | 2015 | 29 | 57 | 134.12 |
| 5 | A Zampa | AUS | 2016 | 2026 | 2021 | 28 | 56 | 131.76 |
| 6 | Mohammad Nawaz | PAK | 2016 | 2026 | 2021 | 35 | 52 | 122.35 |
| 7 | W Hasaranga | SL | 2019 | 2026 | 2022.5 | 21 | 46 | 108.24 |
| 8 | Kuldeep Yadav | IND | 2017 | 2026 | 2021.5 | 20 | 42 | 98.82 |
| 9 | T Shamsi | SA | 2017 | 2024 | 2020.5 | 23 | 38 | 89.41 |
| 10 | SP Narine | WI | 2012 | 2019 | 2015.5 | 19 | 29 | 68.24 |
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 (TT) | 15 |
Against All Teams
| RANK | BOWLER | INNS | RUNS | WKTS | AVE | R AVE | RAT |
|---|---|---|---|---|---|---|---|
| TS | BAW Mendis | 15 | 328 | 33 | 9.94 | 12.04 | 100.00 |
| 1 | W Hasaranga | 21 | 526 | 46 | 11.43 | 12.49 | 96.38 |
| 2 | A Zampa | 28 | 647 | 56 | 11.55 | 12.65 | 95.12 |
| 3 | Kuldeep Yadav | 20 | 491 | 42 | 11.69 | 13.65 | 88.16 |
| 4 | SP Narine | 19 | 411 | 29 | 14.17 | 15.33 | 78.51 |
| 5 | Mohammad Nawaz | 35 | 679 | 52 | 13.06 | 15.47 | 77.83 |
| 6 | Shakib Al Hasan | 29 | 668 | 57 | 11.72 | 16.18 | 74.39 |
| 7 | T Shamsi | 23 | 554 | 38 | 14.58 | 16.51 | 72.93 |
| 8 | Shadab Khan | 41 | 1013 | 65 | 15.58 | 17.74 | 67.85 |
| 9 | MJ Santner | 47 | 1181 | 70 | 16.87 | 18.46 | 65.21 |
| 10 | IS Sodhi | 51 | 1449 | 85 | 17.05 | 18.74 | 64.22 |
Against Top Teams
| RANK | BOWLER | INNS | RUNS | WKTS | AVE | R AVE | RAT |
|---|---|---|---|---|---|---|---|
| TS | SP Narine | 14 | 309 | 26 | 11.88 | 12.49 | 150.00 |
| 1 | SP Narine | 14 | 309 | 26 | 11.88 | 12.49 | 150.00 |
| 2 | A Zampa | 21 | 485 | 41 | 11.83 | 12.50 | 149.90 |
| 3 | W Hasaranga | 14 | 389 | 31 | 12.55 | 12.59 | 148.79 |
| 4 | Shakib Al Hasan | 10 | 221 | 22 | 10.05 | 12.62 | 148.46 |
| 5 | Kuldeep Yadav | 14 | 337 | 30 | 11.23 | 12.79 | 146.43 |
| 6 | Mohammad Nawaz | 18 | 355 | 29 | 12.24 | 14.18 | 132.09 |
| 7 | T Shamsi | 15 | 313 | 22 | 14.23 | 15.24 | 122.91 |
| 8 | MJ Santner | 28 | 743 | 49 | 15.16 | 15.42 | 121.46 |
| 9 | Shadab Khan | 29 | 725 | 44 | 16.48 | 18.67 | 100.32 |
| 10 | IS Sodhi | 35 | 1055 | 55 | 19.18 | 19.83 | 94.47 |
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 | S Badree | 15 | 336 | 274 | 4.89 | 5.41 | 100.00 |
| 1 | T Shamsi | 23 | 522 | 554 | 6.37 | 5.43 | 99.57 |
| 2 | A Zampa | 28 | 609 | 647 | 6.37 | 6.07 | 89.07 |
| 3 | SP Narine | 19 | 418 | 411 | 5.90 | 6.19 | 87.34 |
| 4 | Mohammad Nawaz | 35 | 664 | 679 | 6.14 | 6.28 | 86.16 |
| 5 | W Hasaranga | 21 | 480 | 526 | 6.58 | 6.53 | 82.76 |
| 6 | Shakib Al Hasan | 29 | 656 | 668 | 6.11 | 6.59 | 82.02 |
| 7 | MJ Santner | 47 | 1041 | 1181 | 6.81 | 6.62 | 81.63 |
| 8 | Shadab Khan | 41 | 879 | 1013 | 6.91 | 6.96 | 77.69 |
| 9 | Kuldeep Yadav | 20 | 410 | 491 | 7.19 | 7.08 | 76.33 |
| 10 | IS Sodhi | 51 | 1111 | 1449 | 7.83 | 7.63 | 70.82 |
Against Top Teams
| RANK | BOWLER | INNS | BLS | RUNS | ER | R ER | RAT |
|---|---|---|---|---|---|---|---|
| TS | T Shamsi | 15 | 342 | 313 | 5.49 | 4.36 | 200.00 |
| 1 | T Shamsi | 15 | 342 | 313 | 5.49 | 4.36 | 200.00 |
| 2 | Mohammad Nawaz | 18 | 358 | 355 | 5.95 | 5.88 | 148.35 |
| 3 | Shakib Al Hasan | 10 | 238 | 221 | 5.57 | 5.88 | 148.26 |
| 4 | SP Narine | 14 | 310 | 309 | 5.98 | 6.09 | 143.12 |
| 5 | A Zampa | 21 | 441 | 485 | 6.60 | 6.10 | 142.90 |
| 6 | Kuldeep Yadav | 14 | 287 | 337 | 7.05 | 6.81 | 128.03 |
| 7 | MJ Santner | 28 | 609 | 743 | 7.32 | 6.86 | 127.19 |
| 8 | Shadab Khan | 29 | 617 | 725 | 7.05 | 6.94 | 125.72 |
| 9 | W Hasaranga | 14 | 312 | 389 | 7.48 | 7.18 | 121.51 |
| 10 | IS Sodhi | 35 | 763 | 1055 | 8.30 | 7.86 | 110.92 |
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 | YS Chahal | 6/25 | 4/23 | 4/52 | 3/20 | 3/25 | 4.00 | 100.00 |
| 1 | Mohammad Nawaz | 5/18 | 5/19 | 3/23 | 3/35 | 2/4 | 3.60 | 90.00 |
| 2 | IS Sodhi | 4/28 | 4/28 | 3/18 | 3/21 | 3/30 | 3.40 | 85.00 |
| 2 | MJ Santner | 4/11 | 4/31 | 3/15 | 3/19 | 3/25 | 3.40 | 85.00 |
| 2 | Kuldeep Yadav | 5/17 | 3/12 | 3/18 | 3/19 | 3/19 | 3.40 | 85.00 |
| 5 | Shakib Al Hasan | 5/21 | 4/9 | 3/24 | 2/18 | 2/19 | 3.20 | 80.00 |
| 5 | SP Narine | 4/12 | 3/9 | 3/16 | 3/20 | 3/34 | 3.20 | 80.00 |
| 5 | A Zampa | 4/34 | 3/14 | 3/18 | 3/25 | 3/26 | 3.20 | 80.00 |
| 5 | Shadab Khan | 4/14 | 3/13 | 3/17 | 3/19 | 3/26 | 3.20 | 80.00 |
| 5 | W Hasaranga | 4/35 | 3/17 | 3/21 | 3/27 | 3/38 | 3.20 | 80.00 |
| 10 | T Shamsi | 5/24 | 3/20 | 3/27 | 2/13 | 2/16 | 3.00 | 75.00 |
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 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 | Mohammad Hafeez | 4.0/6 | 4.0/9 | 4.0/11 | 4.0/15 | 2.0/8 | 2.86 | 150.00 |
| 1 | T Shamsi | 4.0/11 | 4.0/13 | 4.0/16 | 4.0/16 | 4.0/17 | 3.11 | 137.85 |
| 2 | MJ Santner | 4.0/11 | 4.0/11 | 4.0/14 | 4.0/15 | 3.0/14 | 3.33 | 128.89 |
| 3 | SP Narine | 3.4/9 | 4.0/12 | 4.0/15 | 2.0/8 | 4.0/16 | 3.56 | 120.39 |
| 4 | A Zampa | 3.0/10 | 4.0/14 | 2.3/9 | 4.0/18 | 4.0/19 | 3.81 | 112.63 |
| 5 | Shadab Khan | 4.0/13 | 4.0/14 | 3.5/16 | 4.0/17 | 3.0/13 | 3.90 | 109.98 |
| 6 | Kuldeep Yadav | 4.0/12 | 4.0/18 | 4.0/18 | 3.0/14 | 4.0/19 | 4.20 | 102.09 |
| 7 | IS Sodhi | 4.0/14 | 3.0/11 | 4.0/18 | 4.0/22 | 3.4/21 | 4.50 | 95.46 |
| 8 | W Hasaranga | 3.0/12 | 4.0/17 | 4.0/19 | 4.0/19 | 4.0/20 | 4.55 | 94.30 |
| 9 | Mohammad Nawaz | 2.0/9 | 4.0/18 | 4.0/18 | 3.0/14 | 4.0/19 | 4.69 | 91.42 |
| 10 | Shakib Al Hasan | 3.4/9 | 4.0/18 | 4.0/19 | 4.0/21 | 4.0/21 | 4.83 | 88.87 |
CHASE BUSTERS RATING
The CHASE BUSTERS (CB) 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 | CB RAT |
|---|---|---|---|---|---|---|---|
| 1 | A Zampa | 131.76 | 245.03 | 231.97 | 80.00 | 112.63 | 801.39 |
| 2 | T Shamsi | 89.41 | 195.84 | 299.57 | 75.00 | 137.85 | 797.67 |
| 3 | MJ Santner | 164.71 | 186.67 | 208.83 | 85.00 | 128.89 | 774.09 |
| 4 | Shakib Al Hasan | 134.12 | 222.85 | 230.28 | 80.00 | 88.87 | 756.11 |
| 5 | Mohammad Nawaz | 122.35 | 209.92 | 234.51 | 90.00 | 91.42 | 748.20 |
| 6 | W Hasaranga | 108.24 | 245.17 | 204.27 | 80.00 | 94.30 | 731.98 |
| 7 | SP Narine | 68.24 | 228.51 | 230.46 | 80.00 | 120.39 | 727.60 |
| 8 | Kuldeep Yadav | 98.82 | 234.59 | 204.36 | 85.00 | 102.09 | 724.86 |
| 9 | IS Sodhi | 200.00 | 158.69 | 181.74 | 85.00 | 95.46 | 720.89 |
| 10 | Shadab Khan | 152.94 | 168.17 | 203.41 | 80.00 | 109.98 | 714.50 |
TOP TEAMS
| DECADE OF MAT | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|
| 2000s | PAK | SA | SL | IND | WI | AUS | NZ | ENG |
| 2010s | IND | SA | PAK | AUS | ENG | NZ | SL | WI |
| 2020s | IND | ENG | AUS | PAK | NZ | SA | BAN | WI |
NON WEAK TEAMS
| DECADE OF MAT | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000s | PAK | SA | SL | IND | WI | AUS | NZ | ENG | BAN | ||
| 2010s | IND | SA | PAK | AUS | ENG | NZ | SL | WI | BAN | AFG | |
| 2020s | IND | ENG | AUS | PAK | NZ | SA | BAN | WI | SL | AFG | US |
*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.