BallTrack Analyzer

🚨 How did Rachin Ravindra navigated his innings with precision ❓ Rachin Ravindra showcased his X-factor with the bat, blending a sense of solidity with flair. Walking in on Day 2 with New Zealand already in a strong position, leading by 96 runs with eight wickets in hand, Ravindra took charge on Day 3. Resuming his innings on 22, he reached his century by the end of the morning session, demonstrating his ability to dominate the bowlers. Over half of his runs came from boundaries, with an especially destructive display against India's spinners—traditionally their biggest threat at home. Ravindra smashed 88 runs off just 89 balls against spin, taking 41 off 39 deliveries from Ravindra Jadeja, 17 off 15 from Kuldeep Yadav, and 30 off 35 from Ravichandran Ashwin. His masterful performance came at a critical time, as New Zealand batters had been struggling against spin, averaging just 27.7 runs per wicket since the beginning of the second World Test Championship cycle. Ravindra's brilliance stood out as a beacon of hope for the Kiwis in conditions that had otherwise stifled them. Data Captured Through: BallTrack Analyzer 👉 If you're passionate about such interesting sports analytics and eager to work on live projects consider enrolling in the Sports Analytics Training & Project Work Program 🚀 - Dive deep into tools & software. - Learn the ins and outs of Sports Data Analytics - Apply your skills to ongoing Men's & Women’s Cricket Analytics Projects 📩 Feel free to DM me for more details #cricket #data #datascience #sportsanalysis #dataanalysis NEW ZEALAND CRICKET #india

🎯 Project Highlight: Pitch Map Analysis | IND vs NZ, 1st Test 🎯 India finished in just 46 in 1st innings In this analysis, I utilized Tableau to break down India’s first session collapse during the IND vs NZ 1st Test match. Matt Hanrey's remarkable 5-wicket haul for just 15 runs in 13 overs was key to New Zealand's dominance. -Insight: 60% of dismissals were edge catches, reflecting Hanrey's masterful exploitation of the full length, forcing the Indian batters to play into the slips and keeper’s hands. -The pitch map visualizes precise line and length control, with most deliveries concentrated around the 'full' and 'good' lengths. Tools Used: Tableau for data visualization and analysis. Data Recorded Using BallTrack Analyzer Guidance Saiprasad Kagne This project showcases how effective data analytics can provide critical match insights, helping teams to refine their strategies. #ProjectShowcase #CricketAnalysis #Tableau #DataAnalytics #TestCricket #INDvsNZ #SportsData #DataVisualization #CricketInsights #PitchMapAnalysis #DataScienceInSports

🚨 A Breakdown of India’s Stellar Batting Performance India’s dominance in T20I cricket reached new heights as they posted the highest-ever total by a full-member nation, smashing 297/6 against Bangladesh in the final T20I at the Rajiv Gandhi International Stadium in Hyderabad. With this colossal score, India surpassed Afghanistan's previous record of 278/3 set against Ireland in 2019. The crowd witnessed a batting spectacle, as Hyderabad, a venue known for high-scoring thrillers in the IPL, once again became the stage for an unforgettable run-fest. India racked up 47 boundaries, outdoing their previous record of 42 against Sri Lanka in 2017, while also blasting 22 sixes, marking their best-ever in a T20I and tying the global record. After opting to bat first, India faced an early setback when Abhishek Sharma fell cheaply, but that only set the stage for the fireworks that followed. Sanju Samson and Suryakumar Yadav took full advantage of the powerplay, unleashing carnage on the Bangladeshi bowlers. Samson smashed a blistering 111 off just 47 balls, while SKY played an equally destructive knock, scoring 75 off 35. Together, they added a massive 173 runs off just 61 deliveries at an astonishing rate of 15.04 runs per over, sending the ball to all corners of the park and keeping the scoreboard ticking at a relentless pace. Data Captured Through: BallTrack Analyzer 👉 If you're passionate about such interesting sports analytics and eager to work on live projects consider enrolling in the Sports Analytics Training & Project Work Program 🚀 - Dive deep into tools & software. - Learn the ins and outs of Sports Data Analytics - Apply your skills to ongoing Men's & Women’s Cricket Analytics Projects 📩 Feel free to DM me for more details #cricket Board of Control for Cricket in India (BCCI) Bangladesh Cricket Board #data #sports #dataanalysis #datascience

🚀 Analyst Project: 🏏 As part of my ongoing cricket analytics project, I used Tableau and BallTrack Analyzer to break down a sensational innings by Nitesh Kumar Reddy. In just his second international match, Nitesh delivered a powerhouse performance, scoring 74 runs off 34 balls, showcasing his aggressive style with 4 fours and 7 sixes. 🔍 Key Insights: Boundary Percentage: An astounding 78.38% of his runs came from boundaries, making him the driving force behind India’s innings. Shot Selection & Placement: The data visualization (see graphic) highlights how Nitesh capitalized on both short and full deliveries, converting them into big shots, particularly targeting the leg side for his sixes. Game Situation: Nitesh’s arrival at the crease saw India needing quick runs, and his ability to strike at over 200 was instrumental in shifting the momentum of the game. 📊 Tools Used: Tableau: For constructing a clear and insightful visual representation of Nitesh's innings, allowing me to map his boundary-hitting zones and key deliveries. BallTrack Analyzer: To track the precise line, length, and placement of his boundaries and wicket, providing deep insights into his shot execution and strategy. This project not only reflects the importance of data-driven analysis in cricket but also demonstrates how combining advanced analytics tools can offer a fresh perspective on player performance. ⚡ Excited to dive deeper into future matches, and more such insights are on the way! Data Recorded On : BallTrack Analyzer Guidance & UI Style : Saiprasad Kagne #CricketAnalysis #SportsData #Tableau #BallTrackAnalyzer #DataScience #T20Cricket #NiteshKumarReddy #INDvsBAN #SportsAnalytics #DataVisualization

🏏 Player Analysis: How did Harmanpreet Kaur dominate the Grand Stage ❓ India got off to a brilliant start, with openers Smriti Mandhana and Shafali Verma looking near their best, piling on runs steadily during the powerplay. Their formidable 98-run stand put the Sri Lankan bowlers under immense pressure, and Chamari Athapaththu’s side struggled to plug the gaps in the field. When Jemimah Rodrigues fell in the 17th over, Harmanpreet Kaur stepped into her fierce form just as an out-of-sync Richa Ghosh joined her at the crease. What followed was a blistering display of batting, with 44 runs coming off the last 22 balls—only six of which came from Ghosh. Sri Lankan bowlers, desperate to restrict her, attempted yorkers but missed their mark, handing Kaur easy scoring opportunities. She feasted on the full-length deliveries, smashing them at a stunning strike rate of 213, and finished unbeaten on 52 off 27 balls. Her powerful knock not only earned her the Player of the Match honor but also symbolized India’s resurgence in the tournament. Data Captured Through: BallTrack Analyzer 👉 If you're passionate about such interesting sports analytics and eager to work on live projects consider enrolling in the Sports Analytics Training & Project Work Program 🚀 - Dive deep into tools & software. - Learn the ins and outs of Sports Data Analytics - Apply your skills to ongoing Men's & Women’s Cricket Analytics Projects 📩 Feel free to DM me for more details #cricket #data Board of Control for Cricket in India (BCCI) #sports #datascience #womenscricket Female Cricket Women's CricZone Women's CricInsight

🏏 Match Analysis: Why did India Women Falter? Analysing the Blunders The White Ferns are off to a flyer at the end of the powerplay, taking on the Indian bowlers aggressively. The pitch is great for batting, and New Zealand’s openers are making the most of it. They dominated, racing to 55 runs without losing a wicket, with over half their runs (54.5%) coming from boundaries. Meanwhile, India Women are struggling—sloppy fielding and still no breakthrough to show for their efforts. In the next six overs, from the 7th to the 12th, New Zealand’s scoring rate slowed significantly, managing just 26 runs. The Indian bowlers tightened their grip, claiming two crucial wickets during this period. Notably, the New Zealand batters couldn't find the boundary even once, with 0% of the runs coming from boundaries. The momentum shifted slightly as India Women applied pressure, keeping the scoring in check. The final eight overs, from the 13th to the 20th, saw New Zealand accelerate their innings, adding 79 runs to the total. During this phase, the White Ferns capitalized on loose deliveries, with 50.6% of the runs coming from boundaries. The Indian bowlers struggled to maintain control, losing their grip on the game as New Zealand’s batters found their rhythm. India Women were unable to sustain the earlier pressure, allowing New Zealand to finish strongly. Data Captured Through: BallTrack Analyzer 👉 If you're passionate about such interesting sports analytics and eager to work on live projects consider enrolling in the Sports Analytics Training & Project Work Program 🚀 - Dive deep into tools & software. - Learn the ins and outs of Sports Data Analytics - Apply your skills to ongoing Men's & Women’s Cricket Analytics Projects 📩 Feel free to DM me for more details BCCI #cricket #sportsanalysis #data NEW ZEALAND CRICKET Female Cricket #t20worldcup2024

🏏 Team Analysis: Can India overcome early new ball struggles in the second test? The graphic shows how India's batters struggled against Bangladesh’s fast bowlers during the first 15 overs of their first innings in the Chepauk Test. It highlights the False Shot Induced Rate (FSIR), which measures how often Indian batters played false shots, shots that didn’t properly connect with the ball. The FSIR is based on the number of false shots compared to the total balls faced. The graphic also breaks down this rate based on different bowling lines, showing where Bangladesh's seamers were most effective. In the Chepauk Test, Bangladesh’s seamers found their greatest success outside the off-stump, where the false shot rate reached 4.4, consistently forcing Indian batters into errors. This area proved to be their most effective, drawing several false shots from the Indian lineup. On deliveries aimed at the stumps, the false shot rate was slightly lower at 3.3, but this central line still kept the pressure on, making it difficult for India’s batters to settle. Down the leg side, where deliveries targeted the pads, the false shot rate dipped to 3.0, yet this zone also saw frequent mistakes, showing that even when Bangladesh bowled at the body, they were able to induce poor shots. Data Captured Through: BallTrack Analyzer 👉 If you're passionate about such interesting sports analytics and eager to work on live projects consider enrolling in the Sports Analytics Training & Project Work Program 🚀 - Dive deep into tools & software. - Learn the ins and outs of Sports Data Analytics - Apply your skills to ongoing Men's & Women’s Cricket Analytics Projects 📩 Feel free to DM me for more details #cricket #data Board of Control for Cricket in India (BCCI) Bangladesh Cricket Board #sports #datascience

"Batters win you sponsorships, but bowlers win you championships!" 🏆 1. Match 2: Victoria vs Tasmania Sam Elliott produced an incredible performance, taking 7 wickets for just 12 runs against Tasmania. His accurate swing bowling left the batsmen struggling, achieving the second-best figures in One-Day Cup history. 2. Match 3: South Australia vs Western Australia In another thrilling One-Day Cup contest between WA and SOA, bowlers again stole the spotlight. Bryce Jackson led WA with an impressive 6 for 31, troubling the SOA batters with consistent length and accuracy. On the other side, Nathan McAndrew took 5 wickets for 40, fighting hard for SOA. Bowling brilliance defined these matches, reminding us that while batters may steal the sponsorships, it's the bowlers who bring home the trophies. 🎯 Do you agree with this? Read more here 👉 https://lnkd.in/g7gG73NB Cricket Australia | Cricket Victoria | South Australian Cricket Association | WA Cricket #onedaycup #performanceanalytics #cricketaustralia #cricketvictoria #cricketsouthaustralia #cricketwesternaustralia #sportsanalytics

Here is viz on R. Ashwin's 6-Wicket Haul Analysis 🎯 | IND vs BAN, 1st Test, 22nd Sept 2024 in-depth pitch map analysis of R. Ashwin's stunning 6/88 (21 overs) performance in the first Test against Bangladesh. I mapped each of his deliveries to showcase how he tactically outplayed the batters with subtle variations. 🌀 Key Highlights: Line & Length Precision: Notice how Ashwin consistently hit the "good length" zone, forcing the batters into indecision, with the majority of his wickets coming from these well-placed deliveries. Variation Mastery: The blue dots represent his wicket-taking deliveries, scattered strategically across different lengths – from full to back of length – highlighting his versatility. Off-Stump Threat: His consistent attack on and just outside the off-stump line kept the batters guessing, resulting in false shots and crucial breakthroughs. 🔍 Why This Matters? This analysis emphasizes how Ashwin manipulated both the conditions and the opposition through calculated variation. Using data visualization tools, we can break down these moments and appreciate the tactical brilliance in greater depth, opening up new dimensions in cricket analysis. I used BallTrack Analyzer to gather the detailed ball-by-ball data and visualized the pitch map with Tableau, bringing Ashwin’s spell to life in a more analytical way. Also thanks to Saiprasad Kagne due the sports analytics course, it gives me ability to learn tools like tableau, Python this formatting is also inspired by him..! Looking forward to diving deeper into more match-winning performances through data analytics! #CricketAnalysis #RavichandranAshwin #INDvsBAN #TestCricket #Tableau #DataDriven #BallTracker #SpinBowling #DataScience #Cricket #PitchMap #PerformanceAnalytics #SportsVisualization #CricketData #CricketInsights #TableauViz

Exciting Milestone in My Sports Analytics Journey! I’m thrilled to announce the successful completion of my two-month-long sports analytics project titled "Player-Level Analysis - Men’s Hundred 2024", where I had the opportunity to work closely with BallTrack Analyzer. This project allowed me to deepen my expertise in Python and Tableau, gaining insights into intricate player performance metrics and translating data into meaningful actions. I want to express my sincere gratitude to my mentor, Saiprasad Kagne, for his unwavering guidance and support throughout this journey. His expertise and encouragement were instrumental in helping me grow and refine my skills. This experience has empowered me to apply advanced analytical techniques to future projects and contribute meaningfully to the dynamic field of sports analytics. I’m excited to continue exploring data-driven insights and can’t wait to see where this journey takes me next! https://lnkd.in/gUAVnyc5