Lazy Historian

Semi professional historian. Hobby Account. Everyday i try to learn atleast one new thing about the world.

[Lazy Historian @Arlenmaps]

Someone asked me why remove draws. As you can see in this one, most batter ave substantially move in draws then results. As such the %of your draw games ie the era you play in can massive alter your ave. Thus looking at only results can be good metrics for cross era comparisons.

[Lazy Historian @Arlenmaps]

Since this one is getting a lot of traction, here is another one looking at the same data with different lens.

This one is Home vs away in non-draw.

[Lazy Historian @Arlenmaps]

@Guliguli2134 It mean win, loss or tied.

Its quite usefull as % of draws a batter plays can heavily influence their overall ave.

This is even more true for bowlers. Like kapil aves 35 in draws vs Siraj' 43. And 24 in non draws vs Siraj's 28. But they have the same ave due to dif % of draws

[Lazy Historian @Arlenmaps]

Since this one is getting a lot of traction, here is another one looking at the same data with different lens.

This one is Home vs away in non-draw.

[Lazy Historian @Arlenmaps]

@Skidmak_ @SriniR_2025 @nagas_18 This is an visual representation of my point.

Pant is an elite batter, has played in an really difficult era for batting, has some great knocks on very difficult pitches and situations.
But he is far from India's true elites on tough pitches.

[Rahul @exceedingxpuns]

Every men's Test where one player had more caps than the rest of their team put together

[Lazy Historian @Arlenmaps]

@litchfieldrives Slightly old capture from one of Jarrod Kimber's videos.

PS: if its something to do with ave in test always assume the batter is second.

[Lazy Historian @Arlenmaps]

@Winden1953 You can upload excel sheet to datawrapper. Its a great site to graphs and such.

[Lazy Historian @Arlenmaps]

@Winden1953 Python.
If you don't know that, you can use datawrapper site. (Or just Use some AI). Many options.

[Dweplea @dweplea]

This tied SL A vs Ind A game made me go down a bit of a rabbit hole of tie breakers and their history in cricket but wanted to share a cute little thing that I discovered at the very start, we currently have the same number of tied ODIs and T20Is: 47.

[Lazy Historian @Arlenmaps]

@Aryan70009Aryan What's the insight here.

Pant and Kohli are better on flater pitches, so as you increase the cutoff their numbers naturally get better.

At best you can argue that reducing the cutoff can produce a better record for Pant, but there were just too many sample size issue there.

[Lazy Historian @Arlenmaps]

@rav_man0 There is such a thing as too many bowlers, and this is it. If you have 5 bowlers who ave 12 witckets per inns you don't need a sixth.
I would go

Hutton
Sutcliffe
Hamond
Root
Barrington
Botham
Knott
Laker
Underwood
Trueman
Anderson

[Lazy Historian @Arlenmaps]

@SriniR_2025 @Kushacritic It's not a big deal. He/she is probably desperate for some elon bucks.

[Lazy Historian @Arlenmaps]

@Jayaramceo Bit Unlucky here Sehwag. If we just increase the criteria to 31 his ave jumps to 30, courtesy of Sri lanka 200.

He was a great player of Flat witckets and turning ball, but pace, swing, bounce were not his Forte.

[Lazy Historian @Arlenmaps]

@PSR1784 Since the sample size in small, that 171 vs WI is skewing the numbers a bit,

Without that its the 5 test 2024 of BGT, some runs in NZ 3-0 drubbing, one in 2024 eng series.

Giving him an ave of 35

[Lazy Historian @Arlenmaps]

@Cricket51562903 @Skidmak_ @SriniR_2025 @nagas_18 But neither that or this graph can be used as some single truth to pass judgement on a player's entire career.

Rohit was a good test batter, had potential to be great but could not realize it.

[Lazy Historian @Arlenmaps]

@Cricket51562903 @Skidmak_ @SriniR_2025 @nagas_18 Removing home data makes no sense.

Playing ragging turn is as impressive as playing sideways movement or bounce. And Rohit was a brilliant player of turn.

There are other metrics like home vs away in result games, that gives a dif pattern than this one.

[Lazy Historian @Arlenmaps]

@PompCricket Did for 5 year period (years played only)

[Lazy Historian @Arlenmaps]

Better in my opinion

[Lazy Historian @Arlenmaps]

Hate this metrics.

That 80 inns stretch was 9 year for sobers 7 for sachin, and same for many of the old batters.

But modern players can do it in max 4-5 years.

And since its much harder to maintain excellence for longer, this list gets over represented by modern batters.

[Lazy Historian @Arlenmaps]

@Shanks04_ @Leonstriker_ @Skidmak_ @SriniR_2025 @nagas_18 Exceptional on Indian turners. Anything above 30 is good, above 40 is exceptional territory.

[Lazy Historian @Arlenmaps]

@dweplea @sampadPal779416 That it overall true. The skew towards tougher pitches in his later years does effect his position. But there is a kind of consistency in his numbers in <=30 and >30 games throughout his career.