Probability of winning a point on serve in tennis

Click For Summary
SUMMARY

The discussion focuses on calculating the Probability of Winning a Point on Serve (Pwos) in tennis using specific formulas. The key formula presented is P(win) = P(noFault)P(win/noFault) + (1 - P(noFault))P(win/fault), with example values provided: P(noFault) = 0.70, P(win/noFault) = 0.64, and P(win/fault) = 0.55, resulting in a Pwos of 0.613. Additionally, the conversation touches on updating Pwos using point importance, referencing the book "Prediction of In-Play Tennis" by Michelle Anne Viney, and contrasting it with Betfair's approach to updating Pwos during a match.

PREREQUISITES
  • Understanding of probability concepts, specifically in sports analytics.
  • Familiarity with tennis scoring and serve mechanics.
  • Knowledge of statistical formulas and their applications in real-world scenarios.
  • Experience with data analysis tools relevant to sports betting, such as Betfair.
NEXT STEPS
  • Research the application of probability in sports analytics, focusing on tennis.
  • Learn how to implement the Pwos formula in a programming language like Python.
  • Explore the differences between various sports betting platforms, particularly Betfair's methodologies.
  • Investigate the impact of player match history on performance metrics in tennis.
USEFUL FOR

Data analysts, sports statisticians, tennis coaches, and sports bettors looking to enhance their understanding of performance metrics and probability calculations in tennis.

Hrant
Messages
4
Reaction score
0
Hello, my question about calculating the probability in tennis
I know that to calculate Pwos (probability of point won on oun serve ) for each player the following formula is used...

# P(no Fault) -The probability a player's first serve not faulting

# P(win/no Fault) -The probability a player will win the point if the first
service does not fault

# P(win/fault) -The probability a player will win the point on his second
serve

formula...
P(win) = P(noFault)P(win/noFault) + (1 - P(noFault))P(win/fault)

For an example
P(noFault) = 0,70
P(win/noFault) = 0,64
P(win/fault) = 0,55

P(win) = (0,70 * 0,64) + (1 - 0,70) *0,55 = 0,613

This is a global method for calculating Pwos for a particular player on a particular surface.
I know that to calculate the most correct (Pwos) for two players, in a particular match, on a particular surface,it is necessary that these players used to have personal meetings on the same surface.
please tell me how to use this fact that they used to play each other on this surface?
Sorry for my English
thanks in advance...
 
Physics news on Phys.org
Hrant said:
Hello, my question about calculating the probability in tennis
I know that to calculate Pwos (probability of point won on oun serve ) for each player the following formula is used...

# P(no Fault) -The probability a player's first serve not faulting

# P(win/no Fault) -The probability a player will win the point if the first
service does not fault

# P(win/fault) -The probability a player will win the point on his second
serve

formula...
P(win) = P(noFault)P(win/noFault) + (1 - P(noFault))P(win/fault)

For an example
P(noFault) = 0,70
P(win/noFault) = 0,64
P(win/fault) = 0,55

P(win) = (0,70 * 0,64) + (1 - 0,70) *0,55 = 0,613

This is a global method for calculating Pwos for a particular player on a particular surface.
I know that to calculate the most correct (Pwos) for two players, in a particular match, on a particular surface,it is necessary that these players used to have personal meetings on the same surface.
please tell me how to use this fact that they used to play each other on this surface?
Sorry for my English
thanks in advance...

Hi Hrant,

Welcome to MHB!

This sounds like a real life problem, rather than a problem from a textbook or course. Am I right? If it's from a textbook, are we missing any additional information?
 
hello, I read the book "Prediction of In-Play Tennis" by Michelle Anne Viney. I have a question. this is about "UPDATING THE PWOS USING POINT IMPORTANCE" . the author says that when a player wins his game losing 0 points. his PWOS grows from 600 to 612. this means that the author uses twice the formula " PAwos(n)= PAwos(n-1)+(1-Ip(a,b))×Ɵ" in one game. initial Pwos=600, optimal(Ɵ)=0.005.
but i calculate with betfair and I see that it uses the formula
" PAwos(n)= PAwos(n-1)+(1-Ip(a,b))×Ɵ" just one time in a game , the rest of the time it uses this formula
" PAwos(n)= PAwos(n-1)±Ip(a,b)×Ɵ"
please tell me how to properly update Pwos with betfair?
I know that very few people can answer to this question...
Sorry for my English
I'm very grateful in advance...
 

Attachments

  • 29386473_423106594795261_178624399895691264_o-min.jpg
    29386473_423106594795261_178624399895691264_o-min.jpg
    152.6 KB · Views: 133
  • 29425651_423116654794255_4670169080563499008_o-min.jpg
    29425651_423116654794255_4670169080563499008_o-min.jpg
    147.1 KB · Views: 137
  • 29433226_423126181459969_9199158020557242368_o-min.jpg
    29433226_423126181459969_9199158020557242368_o-min.jpg
    160 KB · Views: 132
FORMULAS>>>

" PAwos(n)= PAwos(n-1)+(1-Ip(a,b))×Ɵ"

" PAwos(n)= PAwos(n-1)±Ip(a,b)×Ɵ"
 

Similar threads

  • · Replies 14 ·
Replies
14
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
5K
  • · Replies 4 ·
Replies
4
Views
17K
  • · Replies 18 ·
Replies
18
Views
3K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K