European Cricket Series Portugal Challenger – Match 17 Preview: Lisbon Super Giants vs Team Tiger Portugal
Match Details:
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Teams:
Lisbon Super Giants (LSG) vs Team Tiger Portugal (TTP)
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Match Number:
17
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Series:
European Cricket Series Portugal Challenger
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Date:
2025-03-25
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Time:
16:30
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Venue:
Santarem Cricket Ground (Albergaria)
Recent Match Performance Overview:
Lisbon Super Giants (LSG):
LSG’s recent form shows a mix of wins and losses. They won against Friendship CC by 9 wickets, lost to Coimbra Knights by 26 runs, and lost to Brothers XI Portugal by 39 runs. In their previous match against Team Tiger Portugal, they lost by 1 run.
Team Tiger Portugal (TTP):
TTP has also had a mixed bag of results. They won against Lisbon Super Giants by 1 run, lost to Lisbon Werewolves by 7 wickets, and lost to Friendship CC by 15 runs, and lost to Brothers XI Portugal by 42 runs.
Key Players:
LSG:
Hardikkumar Patel, Amandeep Singh, Jaswant Singh, Jeewan Giri, Nilesh Suryawanshi, Ashok Kumar Banger
TTP:
Rupan Das, Azm Jhonny, Md Omar Faruk, Foyez Uddin, Mohammad Rasel
Match Winner Prediction:
Based on the provided data, it is impossible to predict a winner.
Captain, Vice-Captain, and Differential Picks:
Based on the data, it is impossible to provide captain, vice-captain, or differential picks.
Possible Lineup Predictions:
LSG:
(Based on players who played in the most recent match)
TTP:
(Based on players who played in the most recent match)
Fantasy Cricket Team Prediction:
(Based on recent performances of players from both teams)
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Wicketkeeper:
(Not enough data to determine)
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Batsman:
(Not enough data to determine)
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All-rounder:
(Not enough data to determine)
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Bowler:
(Not enough data to determine)
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Additional Batsmen:
(Not enough data to determine)
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Additional Bowlers:
(Not enough data to determine)
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Additional All-rounders:
(Not enough data to determine)
Important Note:
This preview is based solely on the provided data and lacks any deeper analysis or understanding of cricket strategies. The data is limited and does not provide sufficient information to make accurate predictions.
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