The pitch at St Lawrence Ground, Canterbury, is renowned for being batting-friendly. It generally offers good bounce and carry, which assists batters in playing their shots freely. The pitch tends to favor batsmen, especially in the first innings, making it easier to post or chase down substantial totals.
Ideal for Pacers:
While the pitch primarily supports batting, it has also shown favorable conditions for pacers, particularly early in the match. The overcast conditions and slight moisture in the pitch can aid seam and swing bowling. Pacers can exploit these conditions to generate movement both in the air and off the pitch, making it challenging for the batters during the initial overs.
Weather Conditions:
The weather forecast for the match day indicates rainy conditions with overcast skies. This could play a crucial role in the match, as the humidity and moisture in the air could assist swing bowlers. Captains might consider these weather conditions when deciding whether to bat or bowl first. The likelihood of rain interruptions may also bring the Duckworth-Lewis-Stern (DLS) method into play, potentially affecting the match outcome.
Recent Records:
In the last 5 T20 matches at this venue, the average runs scored is 175, indicating that high-scoring games are common. Teams batting first have managed to post competitive totals, making it essential for bowlers to be on their toes and execute their plans effectively.
Total Wickets:
The total wickets taken in the last 5 T20 matches at this venue amount to 55. Out of these, pacers have taken 28 wickets, while spinners have taken 27 wickets. This near-equal distribution of wickets between pacers and spinners suggests that both types of bowlers can be effective if they adapt their strategies to the conditions. Pacers can make early inroads with the new ball, while spinners can capitalize on any turn and bounce available as the match progresses.
Toss History:
Historically, teams winning the toss at St Lawrence Ground have opted to bowl first 100% of the time in the last five years. This strategy likely stems from the favorable conditions for bowlers in the initial overs and the potential for rain interruptions. However, teams batting first have still managed to post competitive totals, indicating that it is crucial to make the most of the batting-friendly conditions while minimizing risks early on.
EN-W vs NZ-W Dream11 Prediction Recent Performances and Team Form
Team
Last 5 Matches
Result
EN-W
WWWWW
Won 5
NZ-W
LLLLL
Lost 5
EN-W vs NZ-W Dream11 Prediction Player Performance Data for Key Players
Top Batting Performers
Player
Team
Matches
Avg. Runs
S/R
Danielle Wyatt
EN-W
1
76.0
165.21
Natalie Sciver-Brunt
EN-W
5
40.4
151.88
Heather Knight
EN-W
3
24.3
132.72
Top Bowling Performers
Player
Team
Matches
Avg. Wkts
Eco
Sarah Glenn
EN-W
2
2.0
4.6
Lauren Bell
EN-W
1
1.0
11.3
Linsey Smith
EN-W
1
1.0
6.8
EN-W vs NZ-W Dream11 Prediction Head-to-Head Record
Total Matches Played
EN-W Won
NZ-W Won
Tie/Draw
No Result
16
13
3
0
0
EN-W vs NZ-W Dream11 Prediction Strategic Insights
England Women (EN-W) Strategies:
Focus on strong batting performances led by Danielle Wyatt and Natalie Sciver-Brunt.
Utilize pacers effectively given the pitch conditions.
Exploit the weak form of NZ-W in recent matches.
New Zealand Women (NZ-W) Strategies:
Strengthen their batting lineup to counter the strong EN-W bowlers.
Use spin bowlers effectively to exploit EN-W’s potential weaknesses.
Aim to win the toss and bowl first to leverage the pitch and weather conditions.
EN-W vs NZ-W Dream11 Prediction Key Battles
Danielle Wyatt vs. Sophie Devine:
Wyatt’s Strengths: Aggressive opening batter, known for her quick starts and ability to take on bowlers from the word go.
Devine’s Strengths: Experienced all-rounder, can swing the ball early and has a knack for breaking crucial partnerships.
Impact: Wyatt’s aggressive approach can be pivotal in setting a strong foundation for EN-W, while Devine’s bowling could be crucial in restricting EN-W’s top order.
Heather Knight vs. Amelia Kerr:
Knight’s Strengths: Solid middle-order batter, known for her composure and ability to anchor the innings.
Kerr’s Strengths: Young leg-spinner, can deceive batters with her variations and has the ability to pick wickets at crucial junctures.
Impact: Knight’s experience and calm demeanor will be tested by Kerr’s youthful exuberance and skill, making this a critical battle in the middle overs.
Natalie Sciver-Brunt vs. Lea Tahuhu:
Sciver-Brunt’s Strengths: Versatile all-rounder, capable of scoring quick runs and providing stability when needed.
Tahuhu’s Strengths: Experienced fast bowler, known for her pace and ability to generate bounce.
Impact: Sciver-Brunt’s ability to counterattack could be key in the death overs, while Tahuhu’s bowling at the death will be crucial in restricting runs and taking wickets.
Profile: Promising all-rounder, known for her explosive batting and effective off-spin.
Recent Performances: Has been consistently performing in domestic leagues, showing maturity beyond her years.
Potential Impact: Capsey can provide crucial breakthroughs with the ball and add quick runs in the lower middle order, making her a valuable asset for EN-W.
Fran Kemp (EN-W):
Profile: Talented young bowler, capable of generating good pace and swing.
Recent Performances: Impressive performances in recent matches, showing the ability to handle pressure situations.
Potential Impact: Kemp’s pace and ability to strike early can be crucial for EN-W, especially in exploiting the early morning conditions.
Georgia Plimmer (NZ-W):
Profile: Young batter, known for her aggressive stroke play and ability to take on spinners.
Recent Performances: Has shown glimpses of her potential in recent domestic and international outings.
Potential Impact: Plimmer’s fearless approach can provide the much-needed impetus in the powerplay, setting a strong platform for NZ-W.
Molly Penfold (NZ-W):
Profile: Promising fast bowler, known for her pace and accuracy.
Recent Performances: Has been impressive in her recent outings, showing the ability to bowl in different phases of the game.
Potential Impact: Penfold’s ability to bowl yorkers and slower deliveries can be crucial in the death overs, potentially turning the game in NZ-W’s favor.
EN-W vs NZ-W Dream11 Prediction Expert Opinions and Betting Scenarios
Expert Opinions:
Danielle Wyatt and Natalie Sciver-Brunt are expected to be top performers.
Sarah Glenn’s recent form makes her a key bowler to watch.
Betting Scenarios:
EN-W is the favorite to win based on recent form and head-to-head record.
Betting on EN-W to win could be a safer option given their recent dominance.
EN-W vs NZ-W Dream11 Prediction Likely Outcome
Prediction: EN-W is likely to continue their winning streak against NZ-W considering their superior form and head-to-head record.
EN-W vs NZ-W Dream11 Prediction Conclusion
EN-W has a strong advantage over NZ-W in this match based on recent performances and strategic insights. Selecting key players from EN-W in your Dream11 team is advisable.
EN-W vs NZ-W Dream11 Prediction Team Suggestion
Player
Role
Team
Credits
Expected Points
Justification for Selection
Amy Jones
WK
EN-W
8
High
Consistent wicket-keeper, good with the bat
Sophie Bates
BAT
NZ-W
8.5
High
Strong batting form
Sophia Dunkley
BAT
EN-W
7
Medium
Reliable batter
Maia Bouchier
BAT
EN-W
8
Medium
Decent recent performances
Natalie Sciver-Brunt
ALL (C)
EN-W
9
Very High
All-round capabilities, captain material
Sophie Devine
ALL (VC)
NZ-W
9
Very High
Star all-rounder
Amelia Kerr
ALL
NZ-W
9
High
Consistent performer
Alice Capsey
ALL
EN-W
8
High
Good all-rounder
Charlotte Dean
BOWL
EN-W
7.5
Medium
Effective bowler
Sophie Ecclestone
BOWL
EN-W
9
High
Leading wicket-taker, vice-captain material
Sarah Glenn
BOWL
EN-W
8.5
High
In-form bowler
EN-W vs NZ-W Dream11 Prediction Substitutes:
Fran Kemp (EN-W, BOWL) – 6.5 Cr
Lauren Bell (EN-W, BOWL) – 7.5 Cr
Lea Tahuhu (NZ-W, BOWL) – 7 Cr
Eimear Richardson (NZ-W, ALL) – 6 Cr
EN-W vs NZ-W Dream11 Prediction Disclaimer
The information provided in this article is based on our research and analysis. While we strive for accuracy, we do not guarantee the reliability of the data. Use the insights and predictions at your own discretion.
