Malaysia vs Tanzania Today Match Prediction: Get Live Match Prediction Update on Cricket83
The Match 8 of the ICC CWC Challenge League Play-Off is set to feature a head-to-head clash between Malaysia (MAL) and Tanzania (TZN). A competitive, high-intensity encounter between the two well-matched sides is expected.
The Malaysia vs Tanzania match prediction for today is being looked forward to by many fans. The MAL vs TZN game has been scheduled for Sunday, February 25, 1:30 AM UTC at UKM-YSD Cricket Oval, Bangi, Malaysia.
| Match | Malaysia vs Tanzania Match 8 |
|---|---|
| Tournament | ICC CWC Challenge League Play-Off |
| Date & Time | Sunday, February 25, 1:30 AM UTC |
| Venue | UKM-YSD Cricket Oval, Bangi, Malaysia |
Malaysia vs Tanzania Live Prediction: Get Pitch Report & Weather Updates
[free_pitch_report match_id="73745"]Malaysia vs Tanzania Live Prediction: Both Teams Recent Form
Malaysia Avg: 0
- No recent matches found
Tanzania Avg: 132.8
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WTZN vs SIN (Tanzania won by 91 runs.)TZN 189/10 (45.5 ov) | SIN 98/10 (28.1 ov)
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LTZN vs UGA (Uganda won by 59 runs.)TZN 89/10 (29.1 ov) | UGA 148/10 (41.1 ov)
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LBAH vs TZN (Bahrain won by 6 wickets)BAH 140/4 (34.1 ov) | TZN 139/10 (41.2 ov)
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LITA vs TZN (Italy won by 8 wickets)ITA 95/2 (13.5 ov) | TZN 94/10 (25.5 ov)
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LBAH vs TZN (Bahrain won by 84 runs.)BAH 237/10 (49.5 ov) | TZN 153/10 (35.3 ov)
Malaysia cricket team recent form has been marked by 0% wins, with an average batting score of 0.0. If Malaysia are sent in to bat first, a competitive par score is considered to be around 144, and anything beyond that is expected to make the chase difficult for Tanzania.
Tanzania cricket team recent form has been defined by 20% wins, with an average score of 132.8. If Tanzania are to bat first, a target of 275 or more is regarded as necessary to gain an advantage against Malaysia.
Malaysia vs Tanzania — Key Players (Last 5 Matches)
Malaysia — Key Players
- No batting data
- No bowling data
Tanzania — Key Players
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Akhil Anil113 runs (agg) · SR 47.9
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Amal Puthenpulrayil Rajeevan58 runs (agg) · SR 38.7
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Ivan Selemani29 runs (agg) · SR 58.5
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Kassimu Nassoro6 wkts (agg) · Econ 2.66
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Ally Mpeka Kimote4 wkts (agg) · Econ 1.79
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Sivaraj Selvaraj4 wkts (agg) · Econ 3.74

