UFC Striking Statistics

UFC fighter data containing information about height, weight, striking, reach, stance, and takedowns. Since the striking accuracy distribution is approximately normal, we will look at proportions and percentiles of fighters with “good” and “bad” percentages.

Motivation

The dataset was found via kaggle (https://www.kaggle.com/datasets/rajeevw/ufcdata)

Since the UFC is fairly recent compared to other professional sports leagues, there are less data analytics around the sport compared to other leagues. Therefore, it is important to provide interpretable analysis to gain traction in analyzing data from the UFC.

Data

The UFC_stats dataset contains 1673 rows and 14 columns. Each row represents a fighter and their career statistics. The columns are shown below.

UFC_stats.csv

Variable	Description
fighter_name	First and last name of fighter
Height	Fighter’s height in inches
Weight	Weight in lbs. of the fighter
Reach	Wingspan in inches of the fighter
Stance	Fighter’s orientation
Birthyear	Fighter’s year of birth
SLpM	Strikes landed per minute
Str_Acc	Striking accuracy percentage
SApm	Strikes attempted per minute
Str_Def	Striking defense percentage
TD_Avg	Takedown average per fight
TD_Acc	Takedown accuracy percentage
TD_Def	Takedown defense percentage
Sub_Avg	Submission average

Questions

• What proportion of fighters have a “good” accuracy percentage?

• What proportion of fighters have a “bad” accuracy percentage?

• What proportion of fighters are in the grey area (between 30 and 60 percent)?

• Fighters with the top 10% for accuracy percentage have above what accuracy percentage?

• Find Q1 of accuracy distribution.

References

Data Set Source: https://www.kaggle.com/datasets/rajeevw/ufcdata