Credible LSKT vs HD Dream11 Prediction: Analysis and Winning Strategy

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Match Details for LSKT vs HD Dream11 Prediction
  • Date: 19 June 2024
  • Venue: Eden Gardens, Kolkata, India

Venue Analysis for LSKT vs HD Dream11 Prediction
  • Pitch Type: Bowling
  • Average First Innings Score: 124
  • Pace vs Spin Statistics:
  • Total Wickets: 9
  • By Pacers: 6
  • By Spinners: 3
  • Weather Conditions: Overcast
  • Toss History:
  • Toss Winners Opt to Bowl First: 59%
  • Team Bowling First Wins: 41.86%
Top Players at This Venue for LSKT vs HD Dream11 Prediction
PlayerMatchesAvg. RunsStrike Rate
Abishek Porel118.0120.0
Manoj Tiwary515.4137.5
Debabrata Das59.6145.45
PlayerMatchesAvg. WicketsEconomy
Pritam Chakraboty12.06.5
Sayan Ghosh51.89.4
Manoj Tiwary50.29.5

Recent Performances and Team Form for LSKT vs HD Dream11 Prediction
TeamLast 5 Matches
LSKTL, L, W, L, L
HDL, L, L, L, L
Recent Match Summaries for LSKT vs HD Dream11 Prediction
  • LSKT
  • RMW beat LSKT by 9 wickets (20/120/9, 17.2/125/1)
  • SSM beat LSKT by 7 wickets (20/117/8, 17.2/121/3)
  • LSKT beat AHW by 16 runs (20/125/8, 10.3/54/5)
  • HD
  • AHW beat HD by 31 runs (20/148/8, 20/179/4)
  • MK beat HD by 8 wickets (20/121/9, 15.4/122/2)
  • SRT beat HD by 23 runs (20/118/7, 20/141/7)
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Player Performance Data for Key Players in LSKT vs HD Dream11 Prediction
PlayerTeamRoleAverage Points (Last 5 Matches)
Abishek PorelLSKTWK53
Manoj TiwaryHDBAT42
Debabrata DasHDWK19
Kazi GiriHDALL15
Sayan GhoshLSKTBOWL21
Aniket KumarLSKTBAT8

Head-to-Head Record useful for LSKT vs HD Dream11 Prediction
TeamWins
LSKTX
HDX

Strategic Insights for LSKT vs HD Dream11 Prediction
  1. Key Battles in LSKT vs HD Dream11 Prediction
  • Manoj Tiwary (HD) vs Sayan Ghosh (LSKT)
  • Abishek Porel (LSKT) vs Debabrata Das (HD)
  1. Young Talents to Watch in LSKT vs HD Dream11 Prediction :
  • Abishek Porel (LSKT)
  • Kazi Giri (HD)
  1. Form and Consistency:
  • LSKT has shown a slight edge in recent performances with a win, compared to HD’s continuous losses.
  1. Captaincy and Leadership:
  • Manoj Tiwary’s experience vs emerging talents in LSKT’s leadership.
  1. Recent Match Conditions:
  • Overcast weather might favor bowlers, particularly pacers.

Expert Opinions and Betting Scenarios in LSKT vs HD Dream11 Prediction
  • Experts are leaning towards LSKT for their recent win and slightly better form.
  • Betting Scenarios:
  • Higher chances of LSKT winning due to form and venue conditions.

Likely Outcome in LSKT vs HD Dream11 Prediction

Considering recent form, player performances, and venue conditions, LSKT holds an edge over HD. However, T20 being a short format, can swing either way depending on key performances.

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Based on the analysis and research, the expert suggested team for the match between LSKT and HD seems well-balanced. Here is the team in a tabular format with expected points:

Suggested Dream11 Team for LSKT vs HD Dream11 Prediction
PlayerRoleTeamCreditsExpected Points
Abishek PorelWicketkeeperLSKT950
Manoj Tiwary (C)BatterHD960
A Singh ShekhawatBatterLSKT6.545
A GhoshBatterLSKT740
S MondalAll-RounderHD8.555
K LalAll-RounderLSKT8.550
A Pandey (VC)All-RounderHD855
P Ray BarmanBowlerHD7.545
M Kaif-IBowlerHD8.550
A ChaterjeeBowlerHD6.545
S SrivastavaBowlerHD7.550
Substitutes for LSKT vs HD Dream11 Prediction
PlayerRoleTeamCreditsExpected Points
Kazi GiriAll-RounderHD8.545
Debabrata DasWicketkeeperHD940
Sayan GhoshBowlerLSKT740
Aniket KumarBatterLSKT735

This team is constructed based on recent performances, player form, and the venue conditions. Adjustments can be made closer to the match based on updated information.


Conclusion for LSKT vs HD Dream11 Prediction

The LSKT vs HD Dream11 prediction points towards a competitive match with LSKT having a marginal upper hand. The detailed analysis above provides insights into player performances, venue conditions, and strategic elements that could influence the match outcome.

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Disclaimer

“Disclaimer: The information provided in this article for LSKT vs HD Dream11 Prediction is based on 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.”


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