Outliers

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Outliers

This morning I happened to watch the highlights of the final day of the 2nd Test Cricket match between India and England (which India have won by the way!) on YouTube, and then somehow went into the rabbit hole of cricket as it often happens with me.

Bradman vs Tendulkar.png

I came across this wonderful documentary from ABC Australia about Don Bradman and Sachin Tendulkar. For those who knows me know the fact that I am a cricket buff! I am surprised how I missed this wonderful piece of documentary.

I obviously know all about this story in gory details, and collected every single details when this event was happening live, but somehow I missed this documentary. The story here is 1 hour long and worth a watch even if you are not a fan of cricket, as it is well made. The main item that caught my attention was a plot discussed at 9:40 of the video. That is the plot I re-created above (data from ESPNcricinfo).

image.png

This is a scatterplot showing runs scored by batsmen in Test cricket along the X-axis, with their batting average along the Y-axis. This is an extremely simple plot, but it reveals two players, Don Bradman, plotted as an outlier along the Y-axis, and Sachin Tendulkar, plotted as an outlier along the X-axis. The pattern is so obvious there there won't be any argument about it.

Outlier Analysis

The most common statistical measure of an outlier (other the visual) is called a Z-score. It is basically a normalized departure from the mean. As defined, a Z-score is a statistical measure that describes how far a data point is from the mean of a dataset, in terms of standard deviations. It's commonly used in outlier detection to identify values that are significantly different from the rest of the data.

Formula for Z-score:

Z = (X − μ)/σ

Where:

X = the data point

μ = the mean of the dataset

σ = the standard deviation of the dataset

  • Z-score of 0 means the value is exactly at the mean.
  • Z-score of +2 means the value is 2 standard deviations above the mean.
  • Z-score of -2 means it's 2 standard deviations below the mean.

Usually a Z-score of +3 or -3 and beyond is considered statistical outliers. So, I made a list of 223 test cricket batting average data spread randomly across time and space. I calculated the Average of the Batting Averages. I calculated Z-score of both Tendulkar and Bradman, both on the Total runs scored and Batting Average categories. The two tables below summarizes the result.

MetricValue
Batting Average37.98
Standard Deviation12.96
Max Average99.94 (Bradman)
Tendulkar’s Average53.78

Z-Score

NameRunsAverageZ-Score RunZ-Score Batting Av
Sachin Tendulkar1592153.783.531.22
Don Bradman699699.940.724.78

As expected by visual inspection of the plot. Both Tendulkar and Bradman scores above 3.0 in their respective axes. Bradman's batting average of 99.94 earns him a Z-score of 4.78. Tendulkar's Z-score of Total runs scored, earned him a Z-score of 3.53.

Outliers works in other cases too

CompanyEmployeesRevenue (M USD)Revenue Z-Score
CD Projekt1200210-0.10
Valve36040004.79
Remedy Entertainment330150-0.18
Paradox Interactive600200-0.11
Frontier Developments500100-0.24
IO Interactive20090-0.25
Behaviour Interactive10003000.02
Bohemia Interactive350110-0.23
GungHo Online6008000.66
Krafton200017001.82
Playdead5030-0.33
Supergiant Games4025-0.34
Team Cherry3520-0.34
Facepunch Studios6050-0.30
Larian Studios2003000.02
Double Fine150100-0.24
Housemarque8060-0.29
Moon Studios7040-0.32
Campo Santo3015-0.35
Thatgamecompany9055-0.30
Zachtronics2510-0.36
Subset Games208-0.36
ConcernedApe150-0.30
Inkle105-0.36
Stoic Studio1512-0.35
Red Hook Studios2518-0.35
Klei Entertainment10090-0.25
DrinkBox Studios3020-0.34
Vlambeer53-0.36
Roll7207-0.36

The did the same scatter plot of these 30 gaming companies.

A company with only 360 employees and 4B in revenue is something very special and the Z-score of 4.79 reflects that. Valve has developed some of the most influential and critically acclaimed video games, including:

Half-Life series
Portal series
Left 4 Dead
Team Fortress
Counter-Strike
Dota 2
Half-Life: Alyx (a flagship VR title)

Valve is also the creator and operator of Steam, the largest digital distribution platform for PC gaming. Launched in 2003, Valve is known for its unique flat organizational structure, where employees choose their own projects. The company emphasizes experimentation, iteration, and playtesting in game design, treating it as a form of experimental psychology.

Web-3 Games

Data for the web-3 games in difficult to verify. I know this from Splinterlands revenue and employee numbers are not updated. However, it still fits the profile.

CompanyEmployeesRevenue (USD)Revenue Z-Score
Sorare100$150,000,0004.15
Axie Infinity120$110,000,0002.94
Splinterlands43$11,800,000-0.02
Illuvium150$5,000,000-0.23
The Sandbox200$37,000,0000.74
Decentraland100$15,000,0000.07
Gods Unchained80$3,000,000-0.29
Star Atlas120$2,500,000-0.3
Big Time90$4,000,000-0.26
Ember Sword60$1,500,000-0.33
My Neighbor Alice70$2,000,000-0.32
Alien Worlds50$2,200,000-0.31
CryptoBlades40$1,000,000-0.35
Mobox60$1,800,000-0.33
Zed Run55$2,300,000-0.31
Chainmonsters30$900,000-0.35
Guild of Guardians45$1,200,000-0.34
Aurory50$1,700,000-0.33
Skyweaver65$2,100,000-0.32
Neon District35$850,000-0.35
Blankos Block Party85$3,500,000-0.27
Crypto Raiders25$600,000-0.36
Nine Chronicles40$1,100,000-0.35
Upland90$6,000,000-0.2
DeFi Kingdoms70$2,400,000-0.31
Pixels30$750,000-0.36
World Eternal Online45$1,300,000-0.34
Crypto Unicorns55$1,900,000-0.32
Revv Racing60$2,600,000-0.3
MetaSoccer35$1,000,000-0.35

I know for a fact that Splinterlands revenue is currently not $11.8M! I wish! However, that is what is reported at compworth.com. So take this data with a grain of salt. However, it does proves the point, that Sorare and Axie Infinity are probably outliers in terms of revenue, while Splinterlands is above the background, but not an outlier.

Outliers | Ecency