Red Rick
Bionic Poster
Well now you're just cherry pickingNot in Slams though.
2007 Federer 75.20
2009 Federer 69.76
2006 Federer 69.53
2017 Federer 67.44
2016 Murray 66.66
Well now you're just cherry pickingNot in Slams though.
2007 Federer 75.20
2009 Federer 69.76
2006 Federer 69.53
2017 Federer 67.44
2016 Murray 66.66
Fed also never beat a 20 GS champion on his way to his titles, what a newb. Even Wawrinka beat 20 GS champion in one of his majors. Lew's logic, Fed can't be the best because he never beat himself. Of course if you are nr.1 you can't face nr.1 player lol.MuryGOAT. Ergo, since Federer is a subset of every single male tennis player in history, we can deduce that Murray > Federer.
Fed also never beat a 20 GS champion on his way to his titles, what a newb. Even Wawrinka beat 20 GS champion in one of his majors. Lew's logic, Fed can't be the best because he never beat himself. Of course if you are nr.1 you can't face nr.1 player lol.
example: 2015 Djokovic won 93.18% of matches facing opponents ranked 17.8 on average ---> 93.18 - 17.8 = 75.38
> 60.0 scores:
2015 Djokovic - 75.38
2011 Djokovic - 74.81
1984 McEnroe - 74.77
2013 Nadal - 72.56
2014 Djokovic - 70.51
2013 Djokovic - 70.36
1985 Lendl - 70.11
2012 Djokovic - 68.81
2016 Murray - 68.06
2017 Federer - 67.03
2016 Djokovic - 66.44
1986 Lendl - 66.40
1979 Borg - 66.13
2006 Federer - 65.95
2005 Federer - 65.79
2015 Federer - 65.54
2007 Federer - 65.51
1980 Borg - 65.01
2012 Nadal - 64.90
2012 Federer / 2018 Nadal - 64.34
1978 Connors / 2008 Nadal - 64.17
2004 Federer - 63.40
2009 Federer - 63.36
2015 Murray - 63.23
2014 Federer - 62.98
1977 Connors - 62.60
2009 Nadal - 62.50
2019 Nadal - 62.46
1979 Connors - 62.31
2011 Federer - 62.01
1978 Borg - 61.76
2010 Federer - 61.13
2017 Nadal - 60.60
2009 Murray - 60.31
Wtf did I just read?
I was just using the fed fan logic. Of course Djokovic was peak since 2011, and Fed didn't end his peak in 2007.yesterday u said before 2015 joker is a pre prime joker . and here u say otherwise . what a joker u r all by urself !
Djokovic has negative h2h versus Wawrinka in Grand slam finals, 0-2. How can you be the goat if lower tier player owns you in Grand slam finals? Imagine if Ali lost two times vs lower tier boxer in his peak? That's worse, at least Fed has negative h2h versus great players in GS finals.I was just using the fed fan logic. Of course Djokovic was peak since 2011, and Fed didn't end his peak in 2007.
It's one of my greatest thread. I'm very proud of it.Wtf kind of **** formula is this lmao
But it doesn’tIt's one of my greatest thread. I'm very proud of it.
It's much harder to have a high win percentage against high ranked opponent. This method measures it.
Here’s the answerI think it's useful to adjust results for quality of opposition, but I wonder about how useful this particular method is.
Suppose you have two players, Player A and Player B, who each played 10 matches. Player A played 10 matches against world number 1, and Player B played 10 matches against world number 20. Let's say Player A beat world number 1 8/10 times, and Player B beat world number 20 10/10 times. So we have:
Player A: 80 - 1 = 79
Player B: 100 - 20 = 80
But pretty clearly, beating the best player in the world 80 percent of the time is more impressive than beating world number 20 every time.
The issue is that playing ability as a function of ranking isn't linear (e.g., the distance between #1 and #10 is wider than the distance between #10 and #20), so perhaps subtracting average ranking doesn't appropriately account for that nonlinearity. Maybe it would be more informative to compute an adjusted score for each match that weights opponent ranking (or Elo rating, whichever seems better).
Nope. I didn't use the arithmetic average. I already explained it.Here’s the answer
Ok,but that's not true at all. In MMA Jon Jones had much more trouble versus lower ranked opponents, this is what happens in all sports. Conor had the most trouble with Nate Diaz who is ranked lower. So your premise is just wrong. And Djokovic having most trouble with Wawrinka destroys your argument that it's always easier to beat lower ranked players.It's one of my greatest thread. I'm very proud of it.
It's much harder to have a high win percentage against high ranked opponent. This method measures it.
The norm is that higher ranked players are tougher to beat. To be objective we have to follow the norm.Ok,but that's not true at all. In MMA Jon Jones had much more trouble versus lower ranked opponents, this is what happens in all sports. Conor had the most trouble with Nate Diaz who is ranked lower. So your premise is just wrong.
Also, how the hell do rankings in his mind prove your level of play? Roddick had higher level of play than Laver, but Laver was ranked higher. And also highest level of play also doesn't prove you are greater, again Roddick vs Laver.Lol
Another day in r/badstatistics
This is excellent. You are onto something. Try with ELO also. Contact UST and discuss with them about refinement. This could end up as a official ATP statistics.
But Federer wasn't ranked nr.1 after 2010, that's the thing, so was he easier to beat? So, was Federer harder to beat in 2006? You said it, higher ranked players are harder to beat.The norm is that higher ranked players are tougher to beat. To be objective we have to follow the norm.
Conor had trouble with Nate Diaz because he is in a different weight class, btw. Don't know about Jon Jones, he's unbeaten.
example: 2015 Djokovic won 93.18% of matches facing opponents ranked 17.8 on average ---> 93.18 - 17.8 = 75.38
> 60.0 scores:
2015 Djokovic - 75.38
2011 Djokovic - 74.81
1984 McEnroe - 74.77
2013 Nadal - 72.56
2014 Djokovic - 70.51
2013 Djokovic - 70.36
1985 Lendl - 70.11
2012 Djokovic - 68.81
2016 Murray - 68.06
2017 Federer - 67.03
2016 Djokovic - 66.44
1986 Lendl - 66.40
1979 Borg - 66.13
2006 Federer - 65.95
2005 Federer - 65.79
2015 Federer - 65.54
2007 Federer - 65.51
1980 Borg - 65.01
2012 Nadal - 64.90
2012 Federer / 2018 Nadal - 64.34
1978 Connors / 2008 Nadal - 64.17
2004 Federer - 63.40
2009 Federer - 63.36
2015 Murray - 63.23
2014 Federer - 62.98
1977 Connors - 62.60
2009 Nadal - 62.50
2019 Nadal - 62.46
1979 Connors - 62.31
2011 Federer - 62.01
1978 Borg - 61.76
2010 Federer - 61.13
2017 Nadal - 60.60
2009 Murray - 60.31
Still can't believe how good is Djokovicexample: 2015 Djokovic won 93.18% of matches facing opponents ranked 17.8 on average ---> 93.18 - 17.8 = 75.38
> 60.0 scores:
2015 Djokovic - 75.38
2011 Djokovic - 74.81
1984 McEnroe - 74.77
2013 Nadal - 72.56
2014 Djokovic - 70.51
2013 Djokovic - 70.36
1985 Lendl - 70.11
2012 Djokovic - 68.81
2016 Murray - 68.06
2017 Federer - 67.03
2016 Djokovic - 66.44
Djokovic needs more energy to win mathces. Which car more efficient? The one with less gas mileage. So, Federer is more efficient, means better.Still can't believe how good is Djokovic![]()
Djokovic needs more energy to win mathces. Which car more efficient? The one with less gas mileage. So, Federer is more efficient, means better.
Not the case, majority of Djokovic fans don't actually think he is the goat, so does this mean some people can use logic over emotions? Who knew?it depends,
if you like red cars -> there will be a different answer
if you like electric cars -> there will be a different answer
if you like Djokovic, then no matter of the question the answer will always be Djokovic is GOAT