MMRW vs MNGW Prediction

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Tournament Details

Tournament:

Women's T20I Quadrangular Series in China, 2024

Format:

WT20I

Venue:

Zhejiang University of Technology Cricket Field

Teams

Mongolia Women Preview

Mongolia Women are struggling to find their feet in the ongoing Women's T20I Quadrangular Series in China. Ranked below 50th in the world, they have a tough task ahead of them. After a heavy 78-run defeat in their previous encounter against Myanmar Women, they will be looking to regroup and bounce back. Batjargal Ichinkhorloo has been their top performer with the bat, while Mendbayaar Enkhzul has been their go-to bowler.

Predicted Playing XI:

• Javzandulam Tugsjargal
• Batjargal Ichinkhorloo
• Enkhbold Khaliunaa
• Tsendsuren Ariuntsetseg
• Odzaya Erdenebaatar
• Gansuk Anujin
• Uugansuvd Bayarjavkhlan
• Oyunsuvd Amarjargal
• Myagmarzaya Batnasan
• Battsetseg Namuunzul
• Mendbayaar Enkhzul

Myanmar Women Preview

Myanmar Women, on the other hand, come into this match on the back of a dominating 78-run victory over Mongolia Women in their previous encounter. With their recent form and head-to-head advantage, they will be confident of securing another win. Zon Lin and Thae Thae Aung will be the key players to watch out for in this match.

Predicted Playing XI:

• Thae Thae Aung
• Zon Lin
• Khin Myat
• Zin Kyaw
• Theint Soe
• Zar Thoon
• May San
• Lin Lin Tun
• Zar Win
• Htet Aung
• Thae Thae Po

Weather Conditions

The pitch is expected to favor the bowlers, with the last five matches on this ground not being high-scoring affairs.

Toss: To Bowl

The team which has bowled first has had a high success rate on this pitch, winning four out of the last five matches. The toss-winning team is likely to opt to bowl first.

Prediction

Myanmar Women are the clear favorites coming into this match, given their recent form and head-to-head advantage. Mongolia Women will need to put in a strong performance to challenge the Myanmar side.

Prediction: Myanmar Women to win.

Expected Score: Myanmar Women 100+, Mongolia Women 80-100.

Note: Please note that these predictions are based on the available data and are subject to change based on various factors such as team changes, weather conditions, and other external factors.