Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.6465  0.0037  0.0729  0.2944  0.0932  0.16
Anderszewski 2003   47  0.5245  0.0040  0.0741  0.1668  0.0349  0.07
Ashkenazy 1981   21  0.6434  0.0014  0.1014  0.4428  0.2720  0.34
Bacha 2000   72  0.3663  0.0081  0.0283  0.0281  0.0278  0.02
Badura 1965   36  0.5710  0.0221  0.0923  0.3221  0.3619  0.34
Barbosa 1983   62  0.4491  0.0054  0.0650  0.0657  0.0453  0.05
Biret 1990   19  0.6471  0.0024  0.0625  0.3144  0.1231  0.19
Blet 2003   27  0.6247  0.0036  0.0624  0.3242  0.1230  0.20
Block 1995   58  0.464  0.0433  0.0839  0.1753  0.0445  0.08
Blumental 1952   33  0.5829  0.007  0.1115  0.441  0.469  0.45
Boshniakovich 1969   42  0.5424  0.0159  0.0747  0.0767  0.0355  0.05
Brailowsky 1960   69  0.3753  0.0082  0.0377  0.0384  0.0367  0.03
Bunin 1987   38  0.5688  0.0042  0.0742  0.1653  0.0543  0.09
Bunin 1987b   39  0.5682  0.0043  0.0743  0.1651  0.0542  0.09
Chiu 1999   84  0.2767  0.0079  0.0376  0.0387  0.0279  0.02
Cohen 1997   83  0.2950  0.0075  0.0374  0.0363  0.0377  0.03
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   67  0.3927  0.0078  0.0379  0.0378  0.0375  0.03
Czerny 1949   9  0.7049  0.005  0.144  0.5314  0.435  0.48
Czerny 1990   8  0.7061  0.0016  0.0913  0.4534  0.2024  0.30
Duchoud 2007   12  0.6739  0.0022  0.0720  0.3826  0.3716  0.37
Ezaki 2006   29  0.6154  0.0039  0.0831  0.2672  0.0340  0.09
Falvay 1989   52  0.4844  0.0068  0.0465  0.0487  0.0269  0.03
Farrell 1958   24  0.6320  0.0134  0.0533  0.2320  0.2327  0.23
Ferenczy 1958   7  0.712  0.062  0.155  0.506  0.513  0.50
Fliere 1977   30  0.5917  0.0158  0.0557  0.0559  0.0456  0.04
Fou 1978   81  0.3059  0.0087  0.0285  0.0279  0.0382  0.02
Francois 1956   34  0.5855  0.0038  0.0834  0.2255  0.0539  0.10
Friedman 1923   80  0.3031  0.0027  0.0638  0.1911  0.4426  0.29
Friedman 1923b   82  0.3052  0.0026  0.0637  0.1913  0.4325  0.29
Friedman 1930   66  0.4138  0.0025  0.0628  0.2914  0.4018  0.34
Garcia 2007   70  0.3746  0.0055  0.0846  0.0835  0.2136  0.13
Garcia 2007b   86  0.2125  0.0157  0.0652  0.0645  0.0850  0.07
Gierzod 1998   17  0.6660  0.0019  0.0821  0.3618  0.2621  0.31
Gornostaeva 1994   43  0.5473  0.0061  0.0462  0.0456  0.0461  0.04
Groot 1988   44  0.5364  0.0062  0.0559  0.0580  0.0362  0.04
Harasiewicz 1955   71  0.3735  0.0049  0.0561  0.0562  0.0465  0.04
Hatto 1993   78  0.3183  0.0053  0.0558  0.0560  0.0364  0.04
Hatto 1997   68  0.3862  0.0041  0.0644  0.1343  0.0938  0.11
Horowitz 1949   64  0.4119  0.0169  0.0370  0.0380  0.0373  0.03
Indjic 1988   74  0.3289  0.0052  0.0463  0.0461  0.0374  0.03
Kapell 1951   2  0.7618  0.013  0.183  0.5311  0.502  0.51
Kissin 1993   56  0.4751  0.0074  0.0371  0.0387  0.0283  0.02
Kushner 1989   13  0.6715  0.0230  0.0726  0.3143  0.1529  0.22
Luisada 1991   65  0.4130  0.0070  0.0467  0.0485  0.0266  0.03
Lushtak 2004   32  0.5874  0.0020  0.0922  0.3447  0.0634  0.14
Malcuzynski 1961   20  0.6432  0.0045  0.0645  0.1263  0.0448  0.07
Magaloff 1978   49  0.5066  0.0072  0.0373  0.0384  0.0368  0.03
Magin 1975   73  0.3677  0.0077  0.0378  0.0388  0.0281  0.02
Michalowski 1933   37  0.576  0.034  0.138  0.5010  0.456  0.47
Milkina 1970   50  0.5084  0.0073  0.0466  0.0475  0.0371  0.03
Mohovich 1999   51  0.4975  0.0064  0.0464  0.0466  0.0376  0.03
Moravec 1969   18  0.6513  0.0223  0.0619  0.4016  0.4214  0.41
Morozova 2008   35  0.578  0.0328  0.0627  0.3153  0.0437  0.11
Neighaus 1950   40  0.5623  0.0147  0.0654  0.0673  0.0363  0.04
Niedzielski 1931   54  0.4714  0.0246  0.0651  0.0618  0.2735  0.13
Ohlsson 1999   28  0.6178  0.0044  0.0640  0.1759  0.0444  0.08
Osinska 1989   5  0.7221  0.0111  0.092  0.548  0.424  0.48
Pachmann 1927   88  0.1280  0.0089  0.0189  0.0187  0.0290  0.01
Paderewski 1930   10  0.6933  0.0015  0.1017  0.435  0.4510  0.44
Perlemuter 1992   48  0.5070  0.0051  0.0649  0.0672  0.0357  0.04
Pierdomenico 2008   59  0.4536  0.0066  0.0368  0.0387  0.0280  0.02
Poblocka 1999   3  0.7328  0.009  0.119  0.4815  0.438  0.45
Rabcewiczowa 1932   11  0.6737  0.0018  0.1116  0.4315  0.4113  0.42
Rachmaninoff 1923   55  0.4716  0.0132  0.0736  0.2060  0.0441  0.09
Rangell 2001   63  0.4448  0.0071  0.0375  0.0387  0.0286  0.02
Richter 1976   53  0.4876  0.0063  0.0555  0.0570  0.0359  0.04
Rosen 1989   46  0.5241  0.0060  0.0560  0.0552  0.0460  0.04
Rosenthal 1930   25  0.6342  0.0035  0.0632  0.2524  0.3723  0.30
Rosenthal 1931   76  0.3143  0.0084  0.0381  0.0378  0.0284  0.02
Rosenthal 1931b   85  0.2768  0.0085  0.0286  0.0285  0.0288  0.02
Rosenthal 1931c   31  0.5922  0.0148  0.0556  0.0540  0.1247  0.08
Rosenthal 1931d   77  0.3140  0.0086  0.0287  0.0283  0.0287  0.02
Rossi 2007   79  0.313  0.0529  0.0635  0.2118  0.2428  0.22
Rubinstein 1939   87  0.1772  0.0091  0.0191  0.0185  0.0289  0.01
Rubinstein 1952   75  0.3281  0.0090  0.0190  0.0186  0.0291  0.01
Rubinstein 1966   57  0.4657  0.0076  0.0380  0.0384  0.0285  0.02
Schilhawsky 1960   14  0.6790  0.0012  0.0918  0.4315  0.3815  0.40
Shebanova 2002   41  0.5585  0.0050  0.0653  0.0662  0.0454  0.05
Smith 1975   16  0.669  0.028  0.106  0.5029  0.2317  0.34
Sokolov 2002   6  0.725  0.0417  0.117  0.5025  0.3612  0.42
Sztompka 1959   1  0.821  0.391  0.381  0.643  0.541  0.59
Tomsic 1995   45  0.5286  0.0056  0.0648  0.0679  0.0358  0.04
Uninsky 1932   23  0.6311  0.026  0.0810  0.489  0.467  0.47
Uninsky 1971   15  0.6626  0.0110  0.1512  0.4515  0.4411  0.44
Wasowski 1980   26  0.627  0.0331  0.0830  0.2711  0.3422  0.30
Zak 1937   60  0.4587  0.0067  0.0372  0.0382  0.0370  0.03
Zak 1951   61  0.4569  0.0065  0.0369  0.0366  0.0472  0.03
Average   4  0.7312  0.0213  0.0811  0.4656  0.0433  0.14
Random 1   90  -0.0258  0.0088  0.0288  0.0238  0.1852  0.06
Random 2   91  -0.0456  0.0083  0.0284  0.0227  0.2151  0.06
Random 3   89  0.0879  0.0080  0.0382  0.0326  0.2246  0.08

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).