TL Seifert
TL Seifert - Batting By Season
Batting Summary
- Runs26
- Highest Score21
- Fifties0
- Hundreds0
- Fours4
- Sixes0
- Strike Rate113
Runs Per Season
| Season | Inn | Runs | Highest | SR | 4s | 6s | 50s | 100s |
|---|---|---|---|---|---|---|---|---|
| 2022 | 2 | 24 | 21 | 126 | 4 | 0 | 0 | 0 |
| 2021 | 1 | 2 | 2 | 50 | 0 | 0 | 0 | 0 |
TL Seifert - IPL Career Overview
Tim Seifert has established himself as a dynamic wicketkeeper-batter in the IPL, noted for fearless power-hitting and electric glovework. Since arriving at the tournament, the Kiwi stumper has provided explosive starts at the top, showcasing clean striking over cover and the ability to clear short boundaries with ease. Behind the stumps, his sharp reflexes and strong arm have produced decisive stumpings and run-outs that swung momentum in crunch games. Seifert’s adaptability has seen him flourish on both sluggish Indian tracks and high-scoring batting paradises, making him a valued utility pick for franchises seeking flexibility. Renowned for a calm head under pressure, he has often walked in during the powerplay and lifted the scoring rate instantly, capitalising on fielding restrictions. His agile anticipation allows him to stand up to spinners and rush batters into errors, while his vocal leadership energises the cordon. Whether deployed as an opener or finisher, Seifert’s fearless approach and match-awareness continue to enhance his reputation as an IPL X-factor.
Tim Seifert IPL profile: the New Zealand wicket-keeper-batter has featured in two IPL seasons—2021 with Kolkata Knight Riders and 2022 with Delhi Capitals—amassing 26 runs in 23 balls faced across his three innings. His best knock came at 21 runs, decorated with four crisp boundaries, and he carries a lively strike-rate of 113.04. While still searching for his first fifty or hundred in the league, Seifert’s compact approach and boundary-hitting ability make him a handy lower-middle-order option for any franchise eyeing a dynamic keeper-batsman.
Note: This overview is partially generated using AI and is based on statistical data.