
IN-GAME TRADES 3: BREAK POINTS
Break points tin last unopen to other possible entry indicate for in-game trading. Obviously, unopen to players are amend than others at doing as well as so – with other qualities needed to last expert at saving intermission points is mental strength, which unopen to players accept much to a greater extent than of than others.
In Apr 2013, I analysed the function past times 100 ATP as well as WTA players to assess which players were the best as well as worst at intermission points.
Interestingly the average per centum of intermission points saved inward the ATP was 59.9%, but the average server inward the sample won 62.7% of points, as well as so the average intermission indicate was 2.8% to a greater extent than probable to last won past times the receiver than whatever ‘normal’ point.
This was almost the same divergence equally the WTA. 56.1% of points were won on serve but exclusively 53.8% of intermission points were saved, as well as so the average intermission indicate was 2.3% to a greater extent than probable to last won past times the receiver than whatever ‘normal’ point.
So clearly, if a histrion saves to a greater extent than intermission points than ‘normal’ points, they tin last considered to accept potent mental forcefulness inward this situation. In my opinion, it’s vital to compare intermission indicate relieve percentages to service won percentages to larn this score, equally opposed to purely looking at the player’s intermission indicate relieve percentages inward isolation. If nosotros were to create this, all the players at the function past times of the statistics would last the big servers, which would laissez passer on us no border because the marketplace position already expects them to win to a greater extent than service points than the average player.
Best ATP players at saving intermission points using the formula “Break Point Save Percentage minus Average Service Point Percentage” at the destination of Apr 2013:-
(Mean is -2.8%)
Martin Klizan 4.1%
Jesse Levine 4.0%
Nikolay Davydenko 3.3%
Jeremy Chardy 2.7%
Tomas Berdych 2.6%
Radek Stepanek 2.4%
Feliciano Lopez 2.2%
Guillermo Garcia-Lopez 2.2%
Jo-Wilfried Tsonga 1.5%
Juan Martin Del Potro 1.4%
Rafael Nadal 1.1%
John Isner 1.1%
If nosotros were to dorsum these players, especially the ‘non notorious’ big servers or non top-level players, such equally Klizan, Levine, Chardy, Lopez as well as Garcia-Lopez, as well as mayhap the veterans
Davydenko as well as Stepanek too, nosotros should accept a positive expectation because in that location volition last really few inward the marketplace position that volition anticipate that these players volition last as well as so expert at saving intermission points against the average player
The worst ATP players using the same formula at destination of Apr 2013:-
Andreas Seppi -5.1%
Sam Querrey -5.4%
Xavier Malisse -5.7%
Blaz Kavcic -5.9%
Tommy Haas -6.0%
Yen-Hsun Lu -6.0%
Florian Mayer -6.1%
Kei Nishikori -6.1%
James Blake -7.0%
Robin Haase -7.3%
David Nalbandian -7.3%
Go Soeda -8.4%
Alejandro Falla -8.7%
Michael Llodra -9.3%
Michael Russell -11.3%
Lukas Lacko -11.5%
Paolo Lorenzi -12.0%
Simone Bolelli -18.0%
Some of these figures are clearly horrific as well as are non from inconsiderable samples. Even if nosotros focused on the really bad players, for illustration the ones with percentages worse than -7%, nosotros would last able to observe unopen to neat trading opportunities.
I also did the same inquiry for the WTA.
Best WTA players at saving intermission points using the formula “Break Point Save Percentage minus Average Service Point Percentage” at the destination of Apr 2013:-
(Mean is -2.3%)
Maria Teresa Torro-Flor 4.7%
Lauren Davis 3.9%
Flavia Pennetta 3.5%
Elena Vesnina 3.3%
Tamira Paszek 3.1%
Mandy Minella 3.0%
Camila Giorgi 2.8%
Karolina Pliskova 1.8%
Laura Robson 1.7%
As with the bulk of the men’s players, in that location is no agency that much of the marketplace position volition anticipate these players at existence expert at saving intermission points. We definitely accept an border with this type of merchandise against the average player.
The worst WTA players with the same formula at the destination of Apr 2013:-
Sabine Lisicki -5.8%
Misaki Doi -5.9%
Ayumi Morita -6.0%
Shuai Peng -6.0%
Monica Niculescu -6.1%
Ana Ivanovic -6.2%
Maria Kirilenko -6.5%
Lourdes Dominguez Lino -6.5%
Daniela Hantuchova -7.0%
Stefanie Voegele -7.9%
There were 2 players worse than these but from a small-scale sample, Vesna Dolonc (-11.0%) as well as Donna Vekic (-15.0%).
Of course, for balanced analysis, nosotros also bespeak to assess whether the receiving histrion is expert at converting intermission points.
Obviously, equally the hateful for the ATP for saving intermission points was -2.8% compared to ‘normal points’, the hateful for converting intermission points is 2.8% inward a higher house the ‘normal point’.
Good ATP players at converting intermission points at the destination of Apr 2013:-
Leonardo Mayer 12.8%
Michael Russell 11.2%
Jerzy Janowicz 8.0%
Ivan Dodig 7.0%
Guillermo Garcia-Lopez 6.7%
Fabio Fognini 6.7%
Jarkko Nieminen 6.4%
Tomas Berdych 6.0%
Martin Klizan 5.8%
Albert Ramos 5.8%
Dimitry Tursunov 5.7%
Nikolay Davydenko 5.6%
Philipp Kohlschreiber 5.6%
Aljaz Bedene 5.5%
Jurgen Melzer 5.5%
Interestingly, Klizan, Berdych, Davydenko as well as Garcia-Lopez also featured on the function past times players for saving intermission points equally well. At this indicate it is clear that they should last players that y'all tin rely on to a greater extent than inward primal points than the average player.
Bad ATP players at converting intermission points at the destination of Apr 2013:-
John Isner -0.2%
Feliciano Lopez -0.4%
Go Soeda -0.4%
Roberto Bautista-Agut -0.5%
Bernard Tomic -0.7%
Tommy Haas -0.7%
Gilles Simon -1.0%
Joao Sousa -1.1%
Santiago Giraldo -1.1%
Benoit Paire -1.1%
Marcel Granollers -1.7%
Paolo Lorenzi -1.9%
Michael Llodra -2.1%
Victor Hanescu -2.1%
Tobias Kamke -2.6%
Ricardas Berankis -3.3%
Again, in that location are several names that characteristic inward the listing for players bad at converting intermission points as well as also for saving intermission points. We tin thence assume that Haas, Soeda, Llodra as well as Lorenzi are non equally expert at the primal points equally average points.
Good WTA players for converting intermission points at the destination of Apr 2013:-
Yulia Putintseva 10.4%
Polona Hercog 10.3%
Aleksandra Wozniak 10.0%
Mandy Minella 7.4%
Bojana Jovanovski 6.0%
Sorana Cirstea 5.6%
Petra Martic 5.6%
Ayumi Morita 5.4%
Lucie Hradecka 5.1%
Maria-Teresa Torro-Flor 5.0%
Monica Niculescu 5.0%
Bad WTA players for converting intermission points at the destination of Apr 2013:-
Maria Sharapova -0.6%
Camila Giorgi -0.7%
Jelena Jankovic -0.8%
Roberta Vinci -0.8%
Melinda Czink -0.8%
Su-Wei Hsieh -1.1%
Maria Kirilenko -1.1%
Annika Beck -1.4%
Anabel Medina Garrigues -1.9%
Donna Vekic -2.4%
Flavia Pennetta -3.0%
Ksenia Pervak -3.1%
Stefanie Voegele -3.3%
Lauren Davis -3.5%
Heather Watson -3.6%
Misaki Doi -4.2%
These stats should laissez passer on y'all an overall insight most which players perform amend than others inward these primal situations. It also should last really useful for y'all to last able to perform your ain analysis for this inward the future, if y'all desire to proceed these statistics upward to date.
For me, trading intermission points is really simple. I remain inward the merchandise until the game is either degree at deuce or the game is won. As I won’t e'er function inward at 0-40 because the risk/reward ratio is really poor, as well as 15-40 is fairly borderline inward this respect, unremarkably I function inward as well as larn out inside 1 indicate exclusively (either 30-40 or 40-A as well as getting out at 40-40 or service break).
Aleksandra Wozniak 10.0%
Mandy Minella 7.4%
Bojana Jovanovski 6.0%
Sorana Cirstea 5.6%
Petra Martic 5.6%
Ayumi Morita 5.4%
Lucie Hradecka 5.1%
Maria-Teresa Torro-Flor 5.0%
Monica Niculescu 5.0%
Bad WTA players for converting intermission points at the destination of Apr 2013:-
Maria Sharapova -0.6%
Camila Giorgi -0.7%
Jelena Jankovic -0.8%
Roberta Vinci -0.8%
Melinda Czink -0.8%
Su-Wei Hsieh -1.1%
Maria Kirilenko -1.1%
Annika Beck -1.4%
Anabel Medina Garrigues -1.9%
Donna Vekic -2.4%
Flavia Pennetta -3.0%
Ksenia Pervak -3.1%
Stefanie Voegele -3.3%
Lauren Davis -3.5%
Heather Watson -3.6%
Misaki Doi -4.2%
These stats should laissez passer on y'all an overall insight most which players perform amend than others inward these primal situations. It also should last really useful for y'all to last able to perform your ain analysis for this inward the future, if y'all desire to proceed these statistics upward to date.
For me, trading intermission points is really simple. I remain inward the merchandise until the game is either degree at deuce or the game is won. As I won’t e'er function inward at 0-40 because the risk/reward ratio is really poor, as well as 15-40 is fairly borderline inward this respect, unremarkably I function inward as well as larn out inside 1 indicate exclusively (either 30-40 or 40-A as well as getting out at 40-40 or service break).
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