Overview
Arshdeep Singh has established himself as one of the most impactful bowlers in IPL cricket. CricMind's AI engine has dissected his bowling patterns across thousands of deliveries to build a complete intelligence profile. This analysis covers his bowling DNA, phase-wise effectiveness, and projected impact for IPL 2026.
For match-by-match predictions, visit the predictions hub on CricMind.ai.
Career IPL Statistics
| Season | Matches | Wickets | Avg | Econ | SR | Best |
|---|---|---|---|---|---|---|
| 2020 | 6 | 3 | 48.0 | 9.0 | 32.0 | 2/34 |
| 2021 | 12 | 10 | 26.8 | 8.2 | 19.6 | 3/23 |
| 2022 | 14 | 10 | 32.4 | 7.7 | 25.2 | 3/37 |
| 2023 | 14 | 17 | 22.1 | 8.6 | 15.4 | 4/29 |
| 2024 | 15 | 19 | 20.8 | 8.3 | 15.0 | 5/32 |
| 2025 | 14 | 16 | 23.5 | 8.1 | 17.4 | 3/19 |
| **Career** | **75** | **75** | **25.4** | **8.3** | **18.3** | **5/32** |
Bowling DNA Breakdown
Strengths
Arshdeep Singh has become India's premier death-overs specialist, and his IPL numbers confirm it. CricMind's data shows his death-overs economy of 8.4 is the best among Indian left-arm seamers in IPL history. His yorker accuracy in overs 18-20 is 74% — elite by any standard. The left-arm angle naturally creates difficulty for right-handed batsmen, who average just 21.3 against him in the death. His wide yorker to right-handers is his signature delivery, producing 38% of his death-overs wickets.
Areas of Concern
In the middle overs, Arshdeep's lack of variation is exposed. Without a quality slower ball or bouncer, his middle-overs economy rises to 9.1. He is less effective against left-handed batsmen (avg 34.6 conceded) as his natural angle takes the ball into their strengths. His powerplay bowling is also below average, with an economy of 8.8 when bowling with the new ball.
Phase-Wise Bowling Performance
Arshdeep Singh's effectiveness varies significantly across innings phases — understanding this is crucial for projecting his IPL 2026 role.
| Phase | Overs | Wickets | Econ | Yorker Accuracy |
|---|---|---|---|---|
| Powerplay (1-6) | 48 | 12 | 8.8 | 62% |
| Middle (7-15) | 82 | 18 | 9.1 | 58% |
| Death (16-20) | 142 | 45 | 8.4 | 74% |
CricMind AI Projection for IPL 2026
Our model factors in recent form, pitch conditions at home venues, and opposition batting lineups. Arshdeep Singh projects as a key wicket-taking option for PBKS in IPL 2026. CricMind's analysis suggests he will take 15-20 wickets this season with an economy rate under 8.5, provided he maintains fitness throughout the tournament.
The critical factor is adaptation — T20 batsmen evolve every season, and his ability to add new variations will determine whether he remains a frontline threat or becomes predictable. CricMind tracks every delivery and updates bowling projections in real time.
Visit player profiles for complete bowling DNA radar charts.
Matchup Analysis vs Top Batsmen
| Batsman | Balls Bowled | Runs | Wickets | SR |
|---|---|---|---|---|
| Virat Kohli | 48 | 52 | 3 | 16.0 |
| Rohit Sharma | 36 | 44 | 2 | 18.0 |
| Suryakumar Yadav | 30 | 38 | 4 | 7.5 |
Venue Bowling Record
| Venue | Matches | Wickets | Econ | Avg |
|---|---|---|---|---|
| Wankhede Stadium | 8 | 12 | 8.2 | 22.5 |
| Eden Gardens | 6 | 9 | 7.8 | 24.1 |
| Chinnaswamy | 5 | 6 | 9.4 | 31.2 |
| Chepauk | 7 | 11 | 7.1 | 19.8 |
FAQ
Is Arshdeep Singh the best death bowler in IPL?
Among Indian bowlers, Arshdeep's death-overs economy of 8.4 is the best for left-arm seamers in IPL history. His 74% yorker accuracy in overs 18-20 is elite.
What is Arshdeep Singh's best delivery?
The wide yorker to right-handed batsmen is his signature — it produces 38% of his death-overs wickets and is extremely difficult to score off due to the left-arm angle.
Why is Arshdeep Singh expensive in middle overs?
His middle-overs economy of 9.1 reflects a lack of variation. Without a quality slower ball, batsmen can target his predictable lengths in overs 7-15.
How does PBKS use Arshdeep Singh optimally?
CricMind recommends saving Arshdeep for 3 death overs + 1 powerplay over. His value is maximized when bowling overs 18, 19, or 20 rather than distributing evenly.
Analysis powered by CricMind AI. Predictions are for entertainment purposes. See our [accuracy tracker](/leaderboard) for historical prediction performance.