Package 'howzatR'

Convert Balls to Overs (Six Ball)

Description

Convert numbers of balls as it equates in terms of six ball overs.

Usage

balls_to_overs(balls)

Arguments

balls

number of balls bowled/faced.

Value

number of six ball overs this equates too.

Examples

balls_to_overs(balls = 6)
balls_to_overs(balls = 17)

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Batters Average

Description

Calculates a batter's average over a number of innings.

Usage

bat_avg(runs_scored, no_dismissals)

Arguments

runs_scored	A singular value of the runs scored by a batter.
no_dismissals	A singular value of the number of times a batters has been dismissed within those innings.

Value

A singular value showing the batter's average.

Additional Information

A batting average is the number of runs divided by the number of times a batters is dismissed. Batters who remain not out at the end of an innings don't have that innings count towards the number of dismissals. The higher average typically indicates a higher quality player. More info here.

Examples

bat_avg(runs_scored = 568, no_dismissals = 9)
total_runs <- sum(c(45, 123, 56, 12, 192, 34, 78, 3, 25))
bat_avg(runs_scored = total_runs, no_dismissals = 9)

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Batters Dataset

Description

A dataset containing basic data about batters

Usage

bat_raw_df

Format

A data frame with 3 rows and 5 variables:

Player

Name of Player

Inns

Numbers of Innings undertaken by Player

NO

Numbers of Not Outs by Player

Runs_Scored

Numbers of Runs Scored by Player

Balls_Faced

Numbers of Balls Faced by Player

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Batters Strike Rate

Description

Calculates a batter's strike rate over a number of innings.

Usage

bat_sr(runs_scored, balls_faced)

Arguments

runs_scored	A singular value of the runs scored by a batter.
balls_faced	A singular value of balls faced by a batter. Overs can be converted into balls_faced using overs_to_balls

Value

A singular value showing the batter's strike rate per 100 Balls.

Additional Information

A batting strike rate is the average number of runs scored per 100 balls. For example, a strike rate of 135 implies a batter would score 135 runs in a 100 balls. A higher number indicates the batter scores at faster rate. More info here.

Examples

bat_sr(runs_scored = 568, balls_faced = 600)
total_runs <- sum(c(45, 123, 56, 12, 192, 34, 78, 3, 25))
total_balls <- sum(c(50, 120, 78, 3, 226, 36, 45, 12, 30))
bat_sr(
  runs_scored = total_runs,
  balls_faced = total_balls
)

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Bowler Average

Description

Calculates bowlers' average number of runs per wicket taken across overs bowled.

Usage

bowl_avg(runs_conceded, wickets_taken)

Arguments

runs_conceded	total runs conceded by bowler across the overs bowled.
wickets_taken	total wickets taken across the overs bowled.

Value

Average number of runs per wicket taken across overs bowled.

Additional Information

A bowling average is the average number of runs conceded for wicket taken. A value of 15 indicates an average of 15 runs were conceded per wicket taken. The lower the value, the better the average; the reserve of bat_avg More info here.

Examples

bowl_avg(runs_conceded = 50, wickets_taken = 6)
bowl_avg(runs_conceded = 341, wickets_taken = 13)

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Bowler Economy Rate

Description

Calculates bowlers' economy rate over six ball overs, five ball sets or per hundred balls.

Usage

bowl_econ(balls_bowled, runs_conceded, type = "overs")

Arguments

balls_bowled	number of balls bowled. Data in terms of six ball overs, please convert to overs_to_balls to get it terms of ⁠balls bowled⁠
runs_conceded	total runs conceded by bowler across the overs, sets or per hundred balls bowled.
type	whether we are calculating economy over six ball overs, sets or per hundred balls bowled. Options "overs", "sets", "per_100". Defaults to overs

Value

Economy rate across the number of overs, sets or per hundred balls bowled.

Additional Information

Bowling economy rate is average number of runs scored per over or sets bowled.

• If using overs, a value of 9.5 indicates an average of 9.5 runs are scored per six ball over bowled.

• If using sets, a value of 9.5 indicates an average of 9.5 runs are scored per five ball set bowled.

• If using here, a value of 9.5 indicates an average of 9.5 runs are scored per hundred balls bowled. This the official statistic used by The Hundred.
  
  The higher the number the more detrimental is for the bowler. Runs scored through byes & leg byes are excluded from runs conceded by the bowler, however wides and no-balls are included in the bowler's figures.
  More info here.

Examples

bowl_econ(balls_bowled = 60, runs_conceded = 45)
bowl_econ(
  balls_bowled = overs_to_balls(overs = 7.1),
  runs_conceded = 26,
  type = "overs"
)

bowl_econ(balls_bowled = 30, runs_conceded = 35, type = "sets")

bowl_econ(balls_bowled = 22, runs_conceded = 19, type = "per_100")

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Bowling Dataset

Description

A dataset containing basic data about bowlers

Usage

bowl_raw_df

Format

A data frame with 3 rows and 4 variables:

Player

Name of Player

Balls_Bowled

Numbers of Balls Bowled by Player

Runs_Conceded

Numbers of Runs Conceded by Player

Wickets

Numbers of Wickets taken by Player

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Bowler Strike Rate

Description

Calculates bowlers' number of balls per wicket taken across overs bowled.

Usage

bowl_sr(balls_bowled, wickets_taken)

Arguments

balls_bowled	number of balls bowled. Data in terms of six ball overs. please convert to overs_to_balls to get it terms of ⁠balls bowled⁠
wickets_taken	total wickets taken across the overs bowled.

Value

Number of balls per wicket taken across overs bowled.

Additional Information

A bowling strike rate is defined as the number of legal balls per wicket taken. For example a value of 20 indicates 20 balls bowled are scored per wicket. This the reverse of bat_sr where the lower the number the better. More info here.

Examples

bowl_sr(balls_bowled = 3830, wickets_taken = 112)
bowl_sr(balls_bowled = overs_to_balls(overs = 1651.2), wickets_taken = 243)

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Convert Overs (Six Ball) to Balls

Description

Convert Overs (Six Ball) to Balls

Usage

overs_to_balls(overs)

Arguments

overs

number of six ball overs bowled/faced.

Value

number of six ball overs this equates too.

Examples

overs_to_balls(overs = 8.2)
overs_to_balls(overs = 10)

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