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Quite a few viewers and readers have asked me to do a behind the scenes look at my video editing workspace, so in this latest edition of Back to the Mac I’ve decided to do just that.

Although my setup is currently built around a Mac Pro + Pro Display XDR, a similar setup can be achieved with virtually any Mac machine and monitor combination. Watch our hands-on behind the scenes video for a look at the hardware on my editing desk.

2023 Mac Pro

Although I do at times use a MacBook Pro and iPad Pro for work, the Mac Pro (hands-on) is the current centerpiece of my video editing workflow. It’s where I run all of the software related to creating videos. Although my previous base model iMac Pro, with its 32GB of RAM and 8-core Xeon CPU, was more than capable enough for my video editing needs, the Mac Pro is an improvement in some ways.

Jeff’s video editing workspace walkthrough

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As I’ve explained several times before, I primarily enjoy using the Mac Pro due to its upgradability. Being able to add more RAM and more storage space is something you couldn’t do on the iMac Pro without jumping through a bunch of hoops. It’s nice to be able to crack open the Mac Pro and upgrade the machine in just a few minutes.

For video editing in particular, the ability to upgrade the internal storage of the Mac Pro is convenient. Not only can you add an absurd amount of SSD storage, but you can also add a full-on 24TB Promise Pegasus RAID system internally, if you choose to do so.

But the Mac Pro is far from perfect for many casual or so-called “pro-sumer” editors. First and foremost, unlike the iMac, it doesn’t come with a built-in display, which could potentially drive up the cost significantly. It’s also lacking conveniences like an SD Card slot, and easy-to-access I/O like on the back of the iMac Pro.

In my upcoming review of the Mac Pro, I’ll be discussing these potential shortcomings more in-depth. I think most “pro-sumer” users will be better served by an iMac or iMac Pro, but there are definitely some users out there that would benefit more from the Mac Pro over the long term.

Pro XDR Display

The 32-inch native 6K Pro Display XDR (hands-on) is a dream display for editing 4K video. It provides you with the workspace to view full resolution 4K while still having plenty of room for the timeline and browse in Final Cut Pro X. And if HDR workflows are a part of your routine, then the true 10-bit XDR Display with its P3 wide color and 1000 nits of sustained brightness and 1600 nits of peak brightness should more than meet your needs.

Although it can be handy to have two displays on the desktop, I find that the Pro Display XDR has enough size and on-screen real estate to make a secondary display unnecessary. For example, it’s possible to have a Final Cut Pro X session going while showing a Safari or Ulysses window on the screen at the same time.

Keychron K2 wireless mechanical keyboard

The newest item to my video editing workspace is the Keychron K2 (review) wireless mechanical keyboard.

Wireless mechanical keyboards are still a rarity for whatever reason, but my overall impression of the Keychron K2 is fairly glowing. Not only is it wireless, but it utilizes Gateron Brown keyboard switches which provide great tactile response. The keys also have an extremely subtle tacky feeling, which adds to the tactile response.

My biggest issue with the Keychron K2 is battery life, which admittedly isn’t great, but it’s not bad enough to make it a deal-breaker. Be sure to check out our full review of the K2 for the details.

Universal Audio Arrow

The Thunderbolt 3-powered Universal Audio Arrow (hands-on) is my go-to audio interface for monitoring and recording audio for my videos. Its bus-powered compact all-aluminum design means that it looks nice on the desktop.

I also love the fact that the UA Arrow places its XLR ports on the rear. This design allows my video editing workspace to stay relatively clutter-free in the process.

But it’s the unit’s UAD plug-ins that make it such a staple for my voiceover workflow…

The UAD plug-ins allow users to custom tailor and fine-tune the sound of voices and instruments in a granular way, and these effects are applied on the fly in real-time with no discernible latency. I’ve built, what I like to believe, is a great-sounding processing chain that allows my voice to shine on video voiceovers.

Sennheiser MKH 416

Before I incorporated the Sennheiser MKH 416 shotgun microphone into my voiceover workflow, I had quite a few friends suggest that I wouldn’t regret purchasing the legendary microphone. I couldn’t bring myself to drop the $999 MSRP, but I was able to pick one up on sale at B&H for $600 a few years back.

The MKH 416 is a legendary microphone for good reason — it sounds amazing with rich and deep vocals, rejects noise incredibly well, is super flexible in that it can be used in a variety of applications, and it’s built well. I think this microphone sounds amazing when paired with the UA Arrow, but I understand that sound “quality” can be subjective.

Yellowtec Mika

The Yellowtec Mika is hands-down the best microphone boom arm on the market, and people seem to finally be agreeing with me after all these years of using it because you see it everywhere now. The Mika features rock-solid German design with its aluminum arm, along with an easy-to-use friction mounting mechanism that has yet to fail me over the years.

What makes the Mika so nice compared to the average boom arm is that the XLR cable is housed inside of the unit itself, which provides a super-clean look. Another major benefit of such a design is that you don’t have to worry about pinching your fingers in between the slats found on lesser solutions. I’ve noticed that other companies have started to use a pinch-free design, which is great, but the Mika was the first.

Audio-Technica ATH-M50x

Headphones are an integral part of the voiceover process, and the Audio-Technica ATH-M50x (review) has been a part of my regular workflow for years. Not only have the headphones held up remarkably well under continued usage, but they sound good as well.

The biggest downside with these headphones is the ear cups, which aren’t as comfortable as I’d like, and will start to wear out after a couple of years. I recommend replacing the ear cups upfront with more comfortable third-party cups.

iLoud Micro Monitors

Although I use my headphones 80% of the time when monitoring audio for video editing, the newly-acquired iLoud Micro Monitors handle the rest of the heavy lifting. These monitors, which were recommended to me by friend of 9to5Mac Jonathan Morrison, sound much better than their small stature might indicate.

Although you won’t get the type of low-end sound possible with larger monitors featuring larger woofers, or via setups with a dedicated subwoofer, I was surprised by how much punch the Micro Monitors had.

The iLoud Micro Monitors produce accurate sound, and they do a great job of resisting distortion even at high volume levels. I was impressed when the baseline from Alex Lustig’s Skyless came in at the 0:36 second mark, with the Micro Monitors handling it superbly.

Since I don’t usually monitor my audio from desktop monitors, I wanted good sound, but I didn’t want to add a pair of hulking speakers to my desktop. The Micro Monitors present a good compromise, being small enough to fit easily on my desktop while sounding good enough to be worthy of a spot in the first place. Plus I think they look pretty good when paired with the Pro Display XDR. What do you guys think?

CalDigit TS3 Plus

Because the Mac Pro is on the floor, and the Pro Display XDR outright lacks the ability to daisy chain with Thunderbolt 3, I think that a Thunderbolt 3 dock is a must-have for such a setup. A dock like the CalDigit TS3 Plus (review) allows for quick access to a wealth of different I/O options right from the comforts of your desktop.

Even years after its debut, the TS3 Plus remains one of the best Thunderbolt 3 dock options available. I do, however, wish that dock manufactures would design a dock more geared towards the needs of Mac Pro users.

Herman Miller Aeron

I’d gone 7 years with a run-of-the-mill chair from Office Depot before I finally decided to invest in my health and purchase a decent chair. I can’t believe I waited this long for something so fundamentally necessary.

With all of the tech that passes through my hands year in and year out, tech that’s here today and gone tomorrow, I find that it was downright irresponsible of me to let my body languish in a chair that provided such terrible ergonomic support.

Depending on the subject, editing sessions can take hours or days, especially if you’re meticulous about the details. Sitting in a bad chair can make a big difference on your overall comfort, which can lead to crankiness, low productivity, and other negative side effects.

I purchased a used Herman Miller Aeron from eBay, and it’s probably the item that I value the most over every other product on this list. That’s because it’s made such a difference in how I feel after a long day of sitting.

If you’re on the fence, just get it. You can get a used Aeron off eBay for less than half of what one costs new, and it will last you a very long time.

UpDesk Standing Desk

Unlike the Aeron, I adopted the UpDesk standing desk (hands-on) early on, and I’m happy I did. I don’t use the desk in stand mode as much as I should, (once I adopt better cord organization, I plan to start using the standing functionality more regularly) but I notice that I feel more productive when I’ve added some standing into my daily work pattern.

Key software used in my video editing workspace

I use the following software each and every day when making videos:

Final Cut Pro X – The best NLE for Mac users

Compressor – Video encoding companion tool for Final Cut Pro X

Apple Motion – Motion graphics tool that integrates with FCP X

ScreenFlow – The best screen capture tool on Mac

Affinity Photo – The best photo editor on Mac

Affinity Designer – The best graphic design tool for Mac users

Of course, the Mac Pro can easily run all of these applications simultaneously. I’ll be back with an overview of the key software that I use to make videos in a follow-up walkthrough.

9to5Mac’s Take

These products are just a small sample of the tools that I use to make videos, but this provides a good overview of the bulk of the post-production video editing workspace that I use each day. In my opinion, there is no one-size-fits-all perfect editing setup, but these products will give you a good idea of the tools that I use to personally craft videos.

If there is a demand for it, I’ll provide a post going over the cameras I use, my camera mounting and capture setups, and the techniques and tools that I use when actually behind the camera.

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The Best Video Editing Software For 2023

Video marketing has been one of the most important and trendy parts of the content in recent years. To achieve success, almost all companies use video clips.

It is because most of the customers prefer to watch videos more rather than reading blogs and articles about specific topics that cover the same message.

It is essential to create professional videos for every company. Therefore, it is crucial to have a video editor that can meet all users’ needs. This article will discuss some of the most popular and widely used video editing software. They are free and open to all.

The Best Video Editing Software for 2023 1. Moovly

Moovly is a video editing app that stands out with its simple and user-friendly interface. This program is great for anyone with video editing skills.

Also read: What Is Gaming In Metaverse? 7 Best Metaverse Games To Try (#1 is played by millions of YouTubers)

2. WeVideo

Another online video editor that is popular among videographers is WeVideo. Its collaboration feature is what makes it so popular. It allows multiple users to work simultaneously on the same project without any issues or crashes.

You can also save your projects to Google Drive automatically. You can also upload raw video directly from your smartphone to this software. Many users love this video editing app because of its intuitive interface and video editing tools.

3. Magisto

Next on our list is Magisto Video Editor, which allows users to create sleek and professional-looking video clips by being beginners in the field.

You can easily work on your projects for hours with its intuitive interface and many tools. Magisto allows users to create stunning videos in minutes and get outstanding results.

You can choose from thousands of high-quality image and video samples that are compatible with your marketing and social media goals.

4. Clipchamp

The last online video editor on today’s list is Clipchamp. Clipchamp, like all of the software mentioned above, has many great features for both professionals and beginners.

ClipChamp’s offers the most basic tools for creating videos. ClipChamp’s interface is simple and easy for novice video editors.

Desktop Video Editors 1. Corel Video Studio

When it comes to great features and video-editing characteristics, Corel VideoStudio is another video editing software that should be considered. This software is capable of 360-degree VR, 4K editing, and motion tracking.

Also read: 7 Best Woocommerce Plugins to boost your Store you must know

2. Movavi Video Editor

Movavi Video Editor enables users to easily edit and make stunning videos without having any prior experience in video editing. The software is great for both beginners and professionals due to its easy-to-use operation and pro features.

3. InVideo

InVideo is an entirely cloud-hosted app that allows you to keep your projects safe, both throughout the process and after finishing them. This tool is easy to use, with tons of transitions, special effects, frames, and other features.

4. Lightworks

Also read: 5 Best Resource Capacity Planning Tools for Teams


There are many online video editors to choose from, so everyone can find the one that suits their needs. This list will help you determine which video editing software is right for you. There are many programs online, so make sure to do thorough research and find the right one for you.

Lady Gaga’S David Bowie Tribute: Behind The Scenes With Intel X Grammys

Lady Gaga’s David Bowie Tribute: Behind The Scenes With Intel X Grammys

Lady Gaga has teamed with the minds at Intel to create a spectacular performance during the 2023 Grammy Awards, all in tribute to the late great David Bowie. Inside this performance you’ll see not only 9 movements, Space Oddity to Heroes, but a multisensory experience the likes of which only Gaga has aimed for before. Intel technology is leveraged to create visuals for the performance, ranging from 3D body tracking to projections for mid-performance costume changes.

Watch as Gaga’s first rendition is performed and projected images drip paint down her face, revealing the lightning bolt of Aladdin Sane. From there, a spider (which we must assume is from Mars) exits her eye and crawls back and forth across her face.

Gaga employs projectors, lights, and audio powered by Intel computers behind the scenes. This performance was so involved and required so much practice that the entire Gaga troupe had a life-sized replica of the stage constructed beforehand.

This production was big. This is just the beginning.

Behold, Gaga x Bowie x Intel x Grammys.

NOTE: If in the video below you don’t hear audio right away, tap the video and find the audio icon in the lower right-hand corner. Audio activate!

You’ll find Nile Rodgers nearby, he having been a collaborator with Bowie himself in one of his several past lives.

In this performance, you’ll find a variety of futuristic technologies “crafted uniquely for the performance” by Haus of Gaga and Intel.

• Digital Skin: An “animated face” was developed for Lady Gaga that enabled her to adorn a number of iconic looks all in a single performance in real time. Intel’s processors tracking Gaga’s facial movements while “digital makeup” was “adapted and displayed onto [Gaga] instantaneously.”

Of note: this was the first time this face projection technology was ever used in a live performance. The creator of the project speaks about the application (scanning and the like) in the documentary videos above and below.

• Interactive Video: Gaga was “given the power to control how she appeared” a massive on-stage LED wall. Gaga used Intel Curie module-based rings to generate real-time effects “as she rotated and animated her wrists and arms.”

Watch as doves fly from her hands and her body is duplicated backwards through infinity. Gaga sort of summons the Gorillaz in this portion of the performance, actually stepping offstage and allowing her computer-generated projection do the work up front.

• Robotics: “Gaga’s beautiful rose gold piano took on a life of its own”, moving the musical instrument with three Intel-powered robot arms, each providing “unexpected motion effects” to the performance.

You’ll really have to keep your eyes on the piano to see that it’s moving in unexpected sorts of ways. Watch the documentary once more to see the effort that went into making the piano dance.

Not just move, but dance.

• Interactive Holograms: Gaga’s Intel Curie technology-based rings and holographic display materials combined to create a fantastic “three-dimensional hologram of the music legend.”

In this portion of the performance, Gaga summons holographic images so effortlessly, it’s difficult to tell that it’s actually her who is controlling the show. Once you start to see hazy colors nearer the camera than Gaga, the holographic portion of the performance has begun.

To get a grasp on the full weight of the technology incorporated in this performance, we turn to Intel, and a documentary director by the name of Ruth Hogben.

This video is short and giant at the same time.

Utilized in the performance above are Intel Xeon, Intel Core, and Pentium processors – in computers as well as equipment. This is part one of a collaboration series between Lady Gaga and Intel that’ll continue on through the future.

Choreography with lighting, audio, and projection systems were made possible by the compute power provided by Intel, and the creativity and force of nature art instinct of Gaga.

Below you’ll see two Intel x Gaga video spots that – if you have cable and a television – you’ll more than likely have seen shown during your favorite TV programs more than once by now. Glorious lights aplenty.

Next you’ll see an intimate behind-the-scenes look at the preparation for the performance. You’ll see several of the elements that’ve appeared in the documentary above, here in their near-original form.

It’s a slightly more intimate take on the whole situation.

Raw, or rawer, at least.

Now we’ll just cross our fingers for another Gaga tour once her next album is released – this time with such spectacular on-stage madness that life will never be the same.

Best (Free) Tools For Video Editing

In addition to introducing you to some of the best free video editing options, we’ll point you to websites where you can download free video clips, sound effects, music, and more to use in your films.

This article was translated from Swedish to English, and originally appeared on

Microsoft Clipchamp: Built-in and simple

In 2023, Microsoft bought the simple, web-based video editor Clipchamp and it’s now a built-in application in Windows 11. In its basic version, Clipchamp is free for everyone, but if you want more features, you’ll need a subscription. Luckily, it’s included in the Microsoft 365 subscription, so if you’re already subscribed to the Office programs, you’ll also get Clipchamp’s extra features.

One problem you’ll encounter if you capture video with an iPhone or newer Android phone is that the files you import are probably in HEVC format, which is not supported by Clipchamp. The program will convert these to H264 format on import, but it can take a while if the films are large and numerous.

For a much deeper dive into its capabilities, check out our tutorial on how to use Clipchamp, Microsoft’s sleeper-hit video editor.

Davinci Resolve: The giant

You don’t have to spend a single cent to edit video like a pro. Well, you’ll have to take a course or two to get as good as a pro, but you can use the same program as many pros—Davinci Resolve.

The program, from Blackmagic Design, is one of the four video editing program used in the movie and television industry, but unlike Adobe Premiere Pro, Avid Media Composer, and Apple Final Cut Pro, it’s free for individual users. There’s a paid version too, but it doesn’t add much that the average home user will miss.

Davinci Resolve has an interface similar to Premiere, so if you’ve tried that before, it might be a little easier to get started. However, because it’s a professional program with everything needed to edit video for television, there’s a learning curve. Expect to have to keep at it for a while and maybe watch the occasional guide on YouTube before you feel completely comfortable with the program.

Video editing in general is resource intensive, but Davinci Resolve is particularly so. It requires at least 16 gigabytes of RAM, an SSD for storage, and a graphics card or integrated graphics circuit with at least 2 gigabytes of video memory and support for OpenCL 1.2 or CUDA 11.

When you first start the program, you’ll be prompted to start your first project and can also choose which set of keyboard shortcuts you want to use—if you have used Premiere, for example, you may choose the same keyboard shortcuts it uses, but otherwise you can choose the program’s own shortcuts.


Importing and sorting

Davinci Resolve is a so-called nonlinear editor, which means that any changes you make will not affect the original files. When you export a finished film, the program copies the selected parts from them and puts them together with the various effects and other changes you have made. Therefore, you can sort your original files as you wish, but be aware that you cannot delete or move them, as the program needs access to them in order to create a final film. For example, if you have the files on an external SSD and don’t have it connected when you try to edit, the program will display a large “Media Offline” warning.

To add video files as clips to use in your projects, start by opening the Media tab. Then you can simply drag the files from Explorer into the program, which will chew on them for a while as the files load; they then end up in the Media Storage. Select a file to view the clip in the preview box at the top right. Here you can play the clip and also jump around in it via the timeline below.

Above the Media Storage area you will find Media Pool, which is also a grid of video clips. The difference between the two is that the Media Pool shows the files you have added to the open project. On the left is a panel where you can sort and organize all the clips—the Media Pool is also available in Davinci Resolve’s other work tabs (Cut, Edit, Fusion, Color, and Fairlight). You can create bins to collect different types of clips—for example, for different scenes or different locations. You can also differentiate using color-coding.


Cut the film

Go to the Cut tab, where you will find the easier of two ways to put a film together. The interface here is divided into three main sections: the Timeline at the bottom where you place clips and do the actual editing, the Media Pool at the top left, from which you drag clips to be included in the Timeline, and the Preview at the top right.

Other tabs

Fusion is Davinci Resolve’s tool for building and working with special effects, and not something you should start with right away.


Color is all about adjusting exposure and colors either for effect or to make different clips blend together better. It’s something you’ll start using pretty soon if you’re putting together more ambitious films, such as the same scene shot with multiple cameras. The Color tab allows you to make these different angles show the same colors.

Fairlight is all about audio editing and effects. For example, you can remove or at least reduce the noise from a windy recording.


Deliver is the tab you use to export a finished film in a suitable format, and of course you can save different versions for different purposes. Here you can set the resolution, file format, and more before you start the export (which can take a while).


Lightworks: A professional program with a good free version

If Davinci Resolve doesn’t appeal to you, you can try another program used professionally, but with a different approach to free users. Lightworks is a long-standing program that was used in the 1990s in Hollywood films such as Pulp Fiction and Braveheart. Thelma Schoonmaker, who has been editing Martin Scorcese films for 50 years, is one of its most famous users. The program has continued to evolve over the years, with different owners.

Since 2023, it is owned by the new company LWKS, started by two of the developers, who have chosen to provide the basic version of Lightworks completely free of charge. Unlike other “demo” versions of paid programs, almost nothing is missing. The only major limitation for home users is that finished films can only be exported at 720p resolution and not 1080p or 4K.

Like Davinci Resolve, Lightworks has a fairly steep learning curve. However, the interface has a clear focus on creativity, so if you roll up your sleeves and get started, it shouldn’t take long to get decent results. The program can be controlled almost entirely with the keyboard, so focus on learning all the shortcuts.


You start by creating a project and adding clips via the Import clips button. The interface is divided into three parts: Sources (clips, effects, transitions) at the top left, Preview and Info at the top right, and Timeline along the entire bottom of the window. Once you have some clips, you can drag one to the timeline to add it to the film. Here’s how to make simple cuts:

Move the red time marker to the right place in the clip.

Press the C key or the icon with two red arrows facing each other during the preview to split the clip.

Now you can edit each half of the clip separately.

You can trim at the beginning or the end of a clip by either grabbing the edge and dragging with the mouse or moving the time marker with the A and S keys, pressing the W key to switch to trim mode and then press the comma or point to trim left or right. Press the tab when you are done.

Add simple transitions by selecting the tab Transitions at the top left and drag and drop a transition where you want it in the timeline and the program will do the rest.


To create an overlap between sound and image (called a J or L clip), you can temporarily mute either the video or audio track and trim the other. Trim forward in one and backward in the other by an equal number of frames, then move them back together with both active. Lightworks shows with a little red icon how many frames out of sync the tracks are so you can easily fix it if you made a mistake.

Free resources

Here are some sites with an excellent range of free resources for video editing:

Pixabay – music, sound effects, and video.

Videvo – video, motion graphics, music, sound effects, and templates for Davinci Resolve.

Freesound – Creative Commons licensed sounds of all kinds.

Mixkit – video, music, and templates for Davinci Resolve.

Envato Elements – Davinci Resolve templates.

How To Create The Perfect Workspace, According To Science

There’s nothing worse than sitting in a dull, drab cubicle. If you’re going to be stuck in one place for 40 or more hours a week, it might as well be pleasant–for the sake of your sanity and your company’s bottom line. Research shows that how you arrange and decorate an office can make a difference for both mental health and productivity, which is why companies like Google shell out for sweet corporate digs.

Even if your workspace isn’t the hippest thing around, you can spice it up with a few relatively easy changes. 99U has a roundup of some of the latest findings in the science of arranging the most pleasant and efficient workspace possible. Some tips from them:

A Google Cubicle

Decorate it.

A 2010 study of London office workers found that being allowed to decorate an office with as many plants and pictures as they wanted made workers 32 percent more productive than the control group that wasn’t given the same option.


A plant-filled office space in Sao Paulo, Brazil.

By the same token:

Make it nature-y.

Studies have shown the presence of plants in an office can improve your ability to pay attention for longer periods of time and reduce stress. So go grab a fern… or a dozen.

Oval Office

Make things round.

We tend to find curves attractive. A study published earlier this summer found that curvilinear spaces were more likely to be seen as beautiful than plain rectangular spaces. A previous study had also established that we tend to find round furniture more appealing than furniture with straight edges. So, basically, the Oval Office has the right idea.

Read the full list at 99U.

The Data Science Behind Ipl

This article was published as a part of the Data Science Blogathon.


IPL, I am sure that, things like fun, entertainment, and sports have come to your mind. I am sure that you never relate science and education with IPL, but even you must be surprised to know that science play a big role in things like IPL. How a winning IPL team can be formed by spending the least possible through Data Science. Let’s find out in today’s article.

In this article, I will explain the data science behind IPL and introduce an interesting career option behind it. Let’s start with the basic “What is Data🤔?”.

What is Data?

Data is basically information about anything. For example the no. of fruits on a tree or the flavor of your ice cream or even the no. of stars in the universe or how much % of peoples like the government. All of this is nothing but data. There is an immense amount of data all around us in our lives, but simply having data around us is of no use to us. It is important for us to know what data is useful and what data should analyze and how be recognizing patterns, we can make use of that data. Let’s think, What are we going to do by counting the no. of leaves on the tree? What use would that be😅?  It is useless data and is of no use to us. But the % of peoples that favor the government is useful data. It would be useful in politics. It can help the government understand what they should change and how they can transform themselves. This data would come in handy during the elections but it isn’t sufficient to simply record that data if you don’t analyze it, compare it, and improve it. The recording, studying, and observing data and then using it to arrive at the decision, is called Data Science.

Using Data Science, we interpret any data and derive useful information from it, and use it in our decision-making process. It is possible to use Data Science in any aspect of life.

In cricket and IPL, Data Science is used in a somewhat unique and interesting manner. In 2008, IPL came, which completely revolutionized the cricket world, because before IPL never had such an immense amount of money invested into cricket. Considering the auction 2023, totaled ~400 crore INR spent on the players. So much money is being spent in IPL. Data Collection and Data Analysis in IPL has breached the next level, because as IPL spending lot of money on players, it has become necessary for IPL teams to find out that, “Should they spend on a particular player or not?” or “How valuable is the player going to be for the team?” 

                                   How should they judge in detail, “Which player should they buy and which one they shouldn’t it?”, “How much money should be spent on which player?” or “What are the values of the different players?”. 

You will not believe that, but IPL teams have started hiring proper companies who are experts in such Data Analysis. Performance Analytics Companies that analyze how good players are, and develop strategies for that players. These Data Analysis companies analyze data about players in detail to understand who is good at what aspect. In IPL a metric that they use, is MVPI or The Most Valuable Player Index, which is a weighted composite score of the different attributes of a player.

Let’s see some of the Batsman Metrics : 

I. Hard-hitting Ability: How many sixes and fours a batsman scores, the following equation is used.

Hard-hitting Ability = (Fours + Sixes) / Ball played by batsman

How many fours and sizes has batsman hit in his IPL career divided by the no. of ball he played. This calculates the hard-hitting ability of the players.

II. Finishing Ability: Not out innings divided by the total innings played.

Finishing Ability = Not out innings / Total innings played.

III. Consistency of Player: Total Run / No. of times out.

IV. Running b/w the wickets: (Total run – (Fours + Sixes)) / (total ball played – boundry balls).

                                                  If this fourth metric is better in batsman than the hard-hitting metrics, then you can easily guess that he is not good at hitting boundaries but is good at getting singles, twos, and threes on other balls.

Similarly, some Bowling Metrics are : 

I. Economy: Run scored / (No. of ball bowled by bowler / 6).

II. Wicket taking ability: No. of balls bowled / Wicket taken.

III. Consistency: Run conceded / Wicket taken.

IV. Crucial Wicket Taking Ability: No. of times four or five-wicket taken / No. of inning played.

This whole data help us to understand the weak and the strong area of different players, whether a player is good at hitting boundaries or at the running between the wickets, whether a bowler performs better against left-handed batsman or right-handed batsman, whether a batsman perform better against spinner or fast bowlers. Analysis can also work out in “What Stadium and in which weather does a player performs better?”

In one interview, Virender Sehwag encapsulated the importance of Data Science very nicely. He said that “Every game you play, they will record your good performance, your bad performance, you played against which bowler, you scored against which team and which bowler, and the whole data will easily show you that you are good against Pakistan but you’re not good performed against Bangladesh, you’re good against South Africa but you’re not good against England. In 2003 when our computer analytics guy come in and he showed me videos and different kinds of data analysis, I got amazed!!!😲”.

During the auctioning of players, the IPL teams that do not have a lot of money would definitely want to know whether the player that they are buying is worth the money, they spent for their team or not. Because more often it happens that the most expensive player in IPL auction is not the top-performing player of IPL always. The best example of this would be the first season of IPL that is 2008 where Rajasthan Royals had lifted the trophy and Rajasthan Royals was one of the cheapest teams in that season. It means that the money that they had spent on the players was way lesser than what others teams had spent. It was one the cheapest team, but they still won the IPL😎. Check out the IPL 2008 auction list below.

Auctioning of players and forming teams is not just one area where Data Science is used, after this Machine Learning techniques are also used to predict the match results. Different models are created with the help of programming and computers in which, inputs like the position of a player, location of the match, the weather of the day, etc are all added as variables and on the basis of previous matches, these models predict the future results of the matches. If you provide the data input of the previous matches, such as the venues of the matches as well as teams that played, players that were present as well as the type of players that were present, then in the future it could be predicted the result of the matches presently being played.

Obviously, it will not be 100% accurate but it could be quite useful. Programming languages like ‘Python’ and libraries like ‘Pandas’, ‘Matplotlib’, and ‘Seaborn’ are used for data preprocessing and data analysis.

Some Interesting Analysis⚡

I. One of the analyses that analyzed that IPL matches between 2008 – 2023, reveals that Eden Garden and M Chinnaswamy Stadium are the best venues for chasing the score, so if a match is being held in either of these two venues and a team wins the toss, fielding would be a better option. Let’s do the same analysis on IPL matches. You can download the dataset from here. Here we are using IPL Matches  2008-2023 dataset.

Dataset Description: It contains a total of 17 columns. Let’s take a look at them.

Attribute Information :


















In the code section, I will directly show the main part of the code. To know detailed descriptions you can directly download the Jupyter Notebook.

 Let’s load the libraries:

import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline

Read the dataset:

Let’s remove the useless columns from the dataset:

df.drop(labels = ['id', 'date', 'player_of_match', 'neutral_venue', 'result', 'result_margin', 'eliminator', 'method','umpire1', 'umpire2'], axis = 1,inplace = True)

Let’s analyze the better option after winning the toss:

match_win_target = match_loss_target = match_win_chassing = match_loss_chassing = 0 for i in range(len(df)) : if df.toss_decision.iloc[i] == 'bat' : # target diya if df.toss_winner.iloc[i] == df.winner.iloc[i] : match_win_target += 1 else : match_loss_target += 1 else : # target chase kiya or Fielding li if df.toss_winner.iloc[i] == df.winner.iloc[i] : match_win_chassing += 1 else : match_loss_chassing += 1 print('{} times captain choose batting option and win the match.'.format(match_win_target)) print('{} times captain choose batting option but loose the match.'.format(match_loss_target)) print('{} times captain choose fielding option and win the match.'.format(match_win_chassing)) print('{} times captain choose fielding option but loose the match.'.format(match_loss_chassing))

Let’s create a specific column and describe, how the team wins the match(by giving the target or by chasing the score):

for i in range(len(df)) : if df.toss_decision.iloc[i] == 'bat' : if df.toss_winner.iloc[i] == df.winner.iloc[i] : # captain choose batting option and win the match then it will count as target. df['target'].iloc[i] = 1 else : # captain choose batting option and loose the match then it will count as chasing. df['chase'].iloc[i] = 1 else : if df.toss_winner.iloc[i] == df.winner.iloc[i] : # captain choose fielding option and win the match then it will count in chasing. df['chase'].iloc[i] = 1 else : # captain choose fielding option and loose the match then it will count in target. df['target'].iloc[i] = 1

Let’s extract some more useful information from the data:

targetlist = [] chaselist = [] for i in top15_stadium : print('Analysis on "{} Stadium"'.format(i)) x = np.sum(df[df.venue1 == i].target) y = np.sum(df[df.venue1 == i].chase) print(x, 'times team gave good target and win the match.') print(y, 'times team easily chase the score and win the match.') targetlist.append(x) chaselist.append(y) print()

Let’s visualize the above data for better understanding:

top15_stadium = ['Eden Gardens, Kolkata', 'Feroz Shah Kotla, Delhi', 'Wankhede Stadium, Mumbai', 'Rajiv Gandhi International Stadium, Uppal, Hyderabad', 'M Chinnaswamy Stadium, Bangalore', 'MA Chidambaram Stadium, Chepauk, Chennai', 'Sawai Mansingh Stadium, Jaipur', 'Punjab Cricket Association Stadium, Mohali, Chandigarh', 'Dubai International Cricket Stadium, Dubai', 'Sheikh Zayed Stadium, Abu Dhabi','Maharashtra Cricket Association Stadium, Pune', 'Punjab Cricket Association IS Bindra Stadium, Mohali, Chandigarh', 'Sharjah Cricket Stadium, Sharjah', 'Dr DY Patil Sports Academy, Mumbai', 'Subrata Roy Sahara Stadium, Pune'] data = {'target': [30, 34, 36, 27, 26, 35, 15, 15, 19, 13, 7, 9, 7, 7, 11], 'chase': [47, 39, 37, 37, 37, 22, 32, 20, 14, 16, 14, 12, 11, 10, 6]} df1 = pd.DataFrame(data,columns=['target', 'chase'], index = top15_stadium) df1.plot.barh(figsize = (15,10))'seaborn-bright') plt.title('Top-15 Stadiums') plt.ylabel('Stadiums') plt.xlabel('No. of Matches Win') plt.xticks(np.arange(0, 54, 3))

The above plot reveals that “How many times team give good target or easily chase the target in the particular stadium.” Let’s look at the horizontal bar of “Eden Garden, Kolkata” stadium, this bar reveals that more than 45 times easily chase the score and win the match and approx 30 times the team gave good target and win the match. From this, we can easily conclude that this stadium is better for chasing the score, so if a match is being held in this venue and a team wins the toss, fielding would be a better option. Similarly, we can easily analyze the whole plot.

Let’s convert the above data in terms of % for better understanding:

target1 = [] chase1 = [] for i in top15_stadium : print(i) x = np.sum(df[df.venue1 == i].target) y = np.sum(df[df.venue1 == i].chase) total = x + y t = ((x / total) * 100) c = ((y / total) * 100) target1.append(round(t, 2)) chase1.append(round(c, 2)) print('{:.2f}% probablity that if you choose to bat, then you will win the match.'.format((x / total) * 100)) print('{:.2f}% probability that if you choose to field, then you will win the match.'.format((y / total) * 100)) print()

Let’s visualize the above data for better understanding:

top15_stadium = ['Eden Gardens, Kolkata', 'Feroz Shah Kotla, Delhi', 'Wankhede Stadium, Mumbai', 'Rajiv Gandhi International Stadium, Uppal, Hyderabad', 'M Chinnaswamy Stadium, Bangalore', 'MA Chidambaram Stadium, Chepauk, Chennai', 'Sawai Mansingh Stadium, Jaipur', 'Punjab Cricket Association Stadium, Mohali, Chandigarh', 'Dubai International Cricket Stadium, Dubai', 'Sheikh Zayed Stadium, Abu Dhabi','Maharashtra Cricket Association Stadium, Pune', 'Punjab Cricket Association IS Bindra Stadium, Mohali, Chandigarh', 'Sharjah Cricket Stadium, Sharjah', 'Dr DY Patil Sports Academy, Mumbai', 'Subrata Roy Sahara Stadium, Pune'] data = {'Bat_first': target1, 'Field_first': chase1} df2 = pd.DataFrame(data,columns=['Bat_first', 'Field_first'], index = top15_stadium) df2 df2.plot.barh(figsize = (15,10))'seaborn-bright') plt.title('Top-15 Stadiums') plt.ylabel('Stadiums') plt.xlabel('Probability to win') plt.xticks(np.arange(0, 75, 3))

Here the above plot reveals that “What is the probability of winning if you choose to bat first or field first in top-15 stadiums.” Let’s look at the horizontal bar of “Subrata Roy Sahara Stadium, Pune”, this bar reveals that in this stadium if you choose to bat first after winning the coin toss then more than 63% of chances that you will win that match, on the other hand, if you choose to field first then there is only 35% chance that you will win the match.

From this, we can easily conclude that this stadium is better for giving the target to the opposition team, so if a match is being held in this venue and a team wins the toss, batting would be a better option. Similarly, we can easily analyze the whole plot. For more details, you can directly download the jupyter notebook.

II. Another analysis took into account the batting average and strike rate of all the IPL players, and concluded that all the players below the age of 35 had a batting avg. of 24.51 and an avg. strike rate of 126.84 and on the other hand players above 35 years had an avg. strike rate of 112.1 much lesser and batting avg. of 21.34. This show that younger player should be preferred if a team has to improve its performance.

The final conclusion🤩

You might wonder with all the data we are analyzing, how much of this data and its analysis is actually useful? and How much of it is random? Previously we talk about which stadium is better for chasing, and what will happen in what kind of weather. It could be that all of these are random things. It could be coincident that, it was easier to chase and win in that particular stadium. I am sure that this question definitely pops up in your mind. It is a legitimate one because, in a lot of data analysis, randomness is also taken into account. If there is randomness, it could be put into the algorithms so that it also be accounted for while analyzing the data. And this generates even more accurate results.

Mind-Blowing Fact🤯 : In fact, when Kolkata Knight Riders won the trophy in 2014 the Auction Analysis of SAP got a lot of credit for their victory. Kolkata Knight Riders had hired that SAP Data Analysis Company to analyze the data and to explain in detail “What kind of team should be formed, Which player should be sent, where, when, and what should the strategies be?”. On the basis, of this analysis, KKR finally won the trophy.

Let’s Wrap Up!

But in the end, I will only like to say that this is all a game of probabilities, you can definitely increase your chances of winning the match by taking all those things into account but there’s never a 100% guarantee. Because after all, the IPL players are human beings😁, not machines.

Golden Words😁❕

If you really enjoyed it, don’t forget to share it with your friends. If you have any query don’t hesitate to leave a response below. You can also connect me on LinkedIn. And finally, … it doesn’t go without saying😉…

Thanks for reading!


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