Giga thoughts

IPL 2026 is now he is now underway! To keep the action alive through analytics have now also made IPL AI Oracle 2026 to be live with near real-time analytics. This is done with a fully automated pipeline that checks Cricsheet for the latest data updates daily at scheduled times for matches data updates. The pipeline then downloads them, processes them with a yorkr package so that analysis can be…

‘Would you tell me, please, which way I ought to go from here?’‘That depends a good deal on where you want to get to,’ said the Cat.‘I don’t much care where—’ said Alice.‘Then it doesn’t matter which way you go,’ said the Cat.‘—so long as I get somewhere,’ Alice added as an explanation.‘Oh, you’re sure to do that,’ said the Cat, ‘if you only walk long enough.’ Alice in Wonderland, Lewis Caroll,…

Tomorrow and tomorrow and tomorrowCreeps in this petty pace from day to dayTo the last syllable of recorded time,And all our yesterdays have lighted foolsThe way to dusty death. Out, out, brief candle! Life’s but a walking shadow, a poor playerThat struts and frets his hour upon the stageAnd then is heard no more. It is a taleTold by an idiot, full of sound and fury,Signifying nothing. Macbeth,…

Foreword – The Double Slit Mystery A puzzling behaviour of subatomic particles, like photons or electrons, is that when they are sent through two narrow slits, they create an interference pattern on the detection screen, just as waves do. This suggests that each particle behaves like a wave of probability, passing through both slits simultaneously. However, the moment you try to observe or…

GooglyPlusPlus now with Win Probability Analysis for all T20 matches

In my 2 earlier posts Computing Win-Probability of T20 matches and Boosting Win Probability accuracy with player embeddings I had discussed the approaches to computing ball-by-ball Win Probability of a T20 match. My best ML models were. glmnet – Logistic Regression(LR) with lasso regularization and penalty – Accuracy – 0.73 Random Forest (RF) – Accuracy – 0.92 Incidentally, both these models…

Boosting Win Probability accuracy with player embeddings

In my previous post Computing Win Probability of T20 matches I had discussed various approaches on computing Win Probability of T20 matches. I had created ML models with glmnet and random forest using TidyModels. This was what I had achieved glmnet : accuracy – 0.67 and sensitivity/specificity – 0.68/0.65 random forest : accuracy – 0.737 and roc_auc- 0.834 DL model with Keras in Python :…

Using embeddings, collaborative filtering with Deep Learning to analyse T20 players

There is a school of thought which considers that total runs scored and strike rate for a batsman, or total wickets taken and economy rate for a bowler, do not tell the whole story. This is true to a fair extent. The runs scored or the wickets taken could have been against weaker teams and hence the runs, strike rate or the wickets and economy rate alone do not capture all the performance details…

Catch all the edge-of-the-seat action of ICC Mens T20 World Cup in near real-time analytics at GooglyPlusPlus

In my last post GooglyPlusPlus gets ready for ICC Men’s T20 World Cup, I had mentioned that GooglyPlusPlus was preparing for the big event the ICC Men’s T20 World cup. Now that the T20 World cup is underway, my Shiny app in R, GooglyPlusPlus ,will be generating near real-time analytics of matches completed the previous day. Besides the app can also do historical analysis of players, teams and…

GooglyPlusPlus gets ready for ICC Men’s T20 World Cup

It is time!! So last weekend, I turned the wheels, moved the levers and listened to the hiss of steam, as I cranked up my Shiny app GooglyPlusPlus. The ICC Men’s T20 World Cup is just around the corner, and it was time to prepare for this event. This latest GooglyPlusPlus is current with the latest Intl. men’s T20 match data, give or take a few. GooglyPlusPlus can analyze batsmen, bowlers,…

Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlus

IPL 2022 has just concluded and yet again, it is has thrown a lot of promising and potential youngsters in its wake, while established players have fallen! With IPL 2022, we realise that “Sceptre and Crown must tumble down” and that form and class like everything else are “shadows not substantial things” (Death the Leveller by James Shirley). So King Kohli had to kneel, and hitman’ himself got…

Player Performance Estimation using AI Collaborative Filtering

1. Introduction Often times before crucial matches, or in general, we would like to know the performance of a batsman against a bowler or vice-versa, but we may not have the data. We generally have data where different batsmen would have faced different sets of bowlers with certain performance data like ballsFaced, totalRuns, fours, sixes, strike rate and timesOut. Similarly different bowlers…

IPL 2022: Near real-time analytics with GooglyPlusPlus

It is that time of the year when there is “a song in the air, the lark’s on the wing, and the snail’s on the the thorn“. Yes, it is the that time of year when the grand gala event of IPL 2022 is underway. So, I managed to wake myself from my Covid-induced slumber, worked up my ‘creaking bones‘ and cranked up the GooglyPlusPlus machinery. So now, every morning, a scheduled CRON tab entry will…

GooglyPlusPlus2022 optimizes batting/bowling lineup

GooglyPlusPlus2022 is the new avatar of last year’s GooglyPlusPlus2021. Roughly, about 5 years back I had written a post on Using linear programming to optimize T20 batting and bowling line up. This post has been on the back of my mind for a long time and I decided to pay this post a revisit. This requires computing performance of individual batsmen vs bowlers and vice-versa for performing the…

Analyzing player performance with animated charts!

Analytics is by definition, the process of identifying, discovering and interpreting patterns in data. There are different ways of capturing these patterns through charts (bar, pie, cumulative data, moving average etc.). One such way is the motion or animated chart which captures the changes in data across different time periods. This was made famous by Hans Rosling in his Gapminder charts. In…

GooglyPlusPlus2021: Towards more picturesque analytics!

Analytics for e.g. sports analytics, business analytics or analytics in e-commerce or in other domain has 2 main requirements namely a) What kind of analytics (set of parameters,function) will squeeze out the most intelligence from the data b) How to represent the analytics so that an expert can garner maximum insight? While it may appear that the former is more important, the latter is also…

GooglyPlusPlus2021 now with power play, middle and death over analysis

This latest edition of GooglyPlusPlus2021 now includes detailed analysis of teams, batsmen and bowlers in power play, middle and death overs. The T20 format is based on 3 phases as each side faces 20 overs. Power play: Overs: 0 – 6 – No more than 2 players can be outside the 30 yard circle Middle overs: Overs: 7- 16 – During these overs the batting side tries to consolidate their innings Death…

GooglyPlusPlus2021:ICC WC T20:Pavilion-view analytics as-it-happens!

This year 2021, we are witnessing a rare spectacle in the cricketing universe, where IPL playoffs are immediately followed by ICC World Cup T20. Cricket pundits have claimed such a phenomenon occurs once in 127 years! Jokes apart, the World cup T20 is underway and as usual GooglyPlusPlus is ready for the action. GooglyPlusPlus will provide near-real time analytics, by automatically downloading…