Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.2159  0.0066  0.0463  0.0485  0.0369  0.03
Anderszewski 2003   22  0.3428  0.0027  0.0822  0.4460  0.0621  0.16
Ashkenazy 1981   63  0.2125  0.0077  0.0370  0.0352  0.0470  0.03
Bacha 2000   16  0.3620  0.0121  0.1320  0.4529  0.308  0.37
Badura 1965   78  0.1544  0.0082  0.0284  0.0282  0.0385  0.02
Barbosa 1983   9  0.408  0.0513  0.1123  0.4141  0.1715  0.26
Biret 1990   18  0.3523  0.0026  0.0628  0.3474  0.0343  0.10
Blet 2003   69  0.1867  0.0083  0.0282  0.0285  0.0283  0.02
Block 1995   40  0.2937  0.0043  0.0841  0.2136  0.2018  0.20
Blumental 1952   11  0.396  0.0512  0.108  0.6240  0.1713  0.32
Boshniakovich 1969   46  0.2757  0.0037  0.0839  0.2370  0.0442  0.10
Brailowsky 1960   34  0.3176  0.0044  0.1143  0.2146  0.0730  0.12
Bunin 1987   64  0.2181  0.0069  0.0373  0.0386  0.0371  0.03
Bunin 1987b   73  0.1769  0.0074  0.0279  0.0284  0.0380  0.02
Chiu 1999   74  0.1752  0.0070  0.0372  0.0387  0.0277  0.02
Cohen 1997   36  0.3031  0.0031  0.0729  0.3352  0.0528  0.13
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   77  0.1582  0.0072  0.0375  0.0384  0.0282  0.02
Czerny 1949   1  0.481  0.231  0.231  0.7632  0.441  0.58
Czerny 1990   15  0.3729  0.0020  0.1513  0.5167  0.0426  0.14
Duchoud 2007   86  0.0932  0.0058  0.0364  0.0382  0.0284  0.02
Ezaki 2006   23  0.3453  0.0041  0.0737  0.2564  0.0534  0.11
Falvay 1989   54  0.2372  0.0064  0.0367  0.0387  0.0278  0.02
Farrell 1958   5  0.447  0.057  0.224  0.6937  0.256  0.42
Ferenczy 1958   51  0.2470  0.0061  0.0560  0.0580  0.0359  0.04
Fliere 1977   29  0.3255  0.0033  0.0931  0.3284  0.0337  0.10
Fou 1978   17  0.3650  0.0025  0.0721  0.4580  0.0331  0.12
Francois 1956   47  0.2777  0.0052  0.0747  0.0755  0.0553  0.06
Friedman 1923   83  0.1283  0.0085  0.0283  0.0281  0.0474  0.03
Friedman 1923b   85  0.0973  0.0087  0.0287  0.0280  0.0387  0.02
Friedman 1930   90  0.0060  0.0090  0.0190  0.0188  0.0290  0.01
Garcia 2007   62  0.2186  0.0054  0.0845  0.0856  0.0550  0.06
Garcia 2007b   55  0.2278  0.0045  0.0654  0.0666  0.0558  0.05
Gierzod 1998   45  0.2787  0.0053  0.0753  0.0784  0.0355  0.05
Gornostaeva 1994   32  0.3151  0.0051  0.0746  0.0775  0.0357  0.05
Groot 1988   41  0.2938  0.0030  0.0632  0.3181  0.0344  0.10
Harasiewicz 1955   8  0.4115  0.0115  0.1310  0.5852  0.0620  0.19
Hatto 1993   19  0.3561  0.0017  0.1015  0.4755  0.0523  0.15
Hatto 1997   21  0.3427  0.0019  0.1319  0.4673  0.0425  0.14
Horowitz 1949   82  0.1348  0.0086  0.0286  0.0277  0.0381  0.02
Indjic 1988   20  0.3558  0.0018  0.1016  0.4769  0.0424  0.14
Kapell 1951   31  0.3212  0.0211  0.1114  0.5040  0.2012  0.32
Kissin 1993   43  0.2918  0.0124  0.0742  0.2157  0.0539  0.10
Kushner 1989   38  0.2921  0.0136  0.0838  0.2471  0.0438  0.10
Luisada 1991   66  0.2113  0.0156  0.0655  0.0677  0.0454  0.05
Lushtak 2004   30  0.3217  0.0142  0.0840  0.2365  0.0440  0.10
Malcuzynski 1961   2  0.479  0.044  0.212  0.7339  0.237  0.41
Magaloff 1978   4  0.453  0.115  0.129  0.6152  0.0619  0.19
Magin 1975   61  0.2165  0.0075  0.0368  0.0375  0.0462  0.03
Michalowski 1933   79  0.1474  0.0079  0.0369  0.0369  0.0367  0.03
Milkina 1970   24  0.3366  0.0032  0.0627  0.3572  0.0432  0.12
Mohovich 1999   56  0.2254  0.0049  0.0656  0.0664  0.0456  0.05
Moravec 1969   53  0.2371  0.0065  0.0366  0.0389  0.0275  0.02
Morozova 2008   42  0.2922  0.0147  0.0751  0.0760  0.0549  0.06
Neighaus 1950   59  0.2242  0.0050  0.0752  0.0758  0.0552  0.06
Niedzielski 1931   75  0.1639  0.0080  0.0378  0.0381  0.0279  0.02
Ohlsson 1999   49  0.2635  0.0057  0.0559  0.0583  0.0266  0.03
Osinska 1989   25  0.3384  0.0028  0.0724  0.4072  0.0427  0.13
Pachmann 1927   87  0.0868  0.0089  0.0189  0.0181  0.0289  0.01
Paderewski 1930   60  0.2214  0.0122  0.0730  0.3320  0.3610  0.34
Perlemuter 1992   84  0.1062  0.0088  0.0288  0.0286  0.0276  0.02
Pierdomenico 2008   71  0.1824  0.0046  0.0748  0.0754  0.0548  0.06
Poblocka 1999   10  0.392  0.122  0.1411  0.5629  0.345  0.44
Rabcewiczowa 1932   37  0.3026  0.0029  0.0725  0.3880  0.0335  0.11
Rachmaninoff 1923   13  0.395  0.0516  0.1117  0.4640  0.1316  0.24
Rangell 2001   7  0.4340  0.008  0.126  0.6528  0.364  0.48
Richter 1976   27  0.3333  0.0014  0.1126  0.3732  0.2911  0.33
Rosen 1989   68  0.1885  0.0073  0.0281  0.0287  0.0286  0.02
Rosenthal 1930   44  0.2836  0.0055  0.0749  0.0750  0.0551  0.06
Rosenthal 1931   70  0.1888  0.0076  0.0377  0.0381  0.0368  0.03
Rosenthal 1931b   81  0.1363  0.0067  0.0371  0.0386  0.0288  0.02
Rosenthal 1931c   58  0.2289  0.0062  0.0557  0.0586  0.0273  0.03
Rosenthal 1931d   52  0.2375  0.0060  0.0461  0.0475  0.0372  0.03
Rossi 2007   72  0.1849  0.0059  0.0462  0.0484  0.0261  0.03
Rubinstein 1939   12  0.3910  0.039  0.167  0.6338  0.189  0.34
Rubinstein 1952   39  0.2946  0.0038  0.0836  0.2567  0.0445  0.10
Rubinstein 1966   26  0.3345  0.0023  0.0618  0.4665  0.0522  0.15
Schilhawsky 1960   3  0.4511  0.036  0.163  0.7230  0.373  0.52
Shebanova 2002   33  0.3116  0.0134  0.0735  0.2558  0.0536  0.11
Smith 1975   48  0.2764  0.0048  0.0750  0.0760  0.0547  0.06
Sokolov 2002   50  0.2447  0.0063  0.0558  0.0587  0.0260  0.03
Sztompka 1959   6  0.434  0.083  0.185  0.6723  0.472  0.56
Tomsic 1995   76  0.1534  0.0084  0.0280  0.0274  0.0465  0.03
Uninsky 1932   35  0.3143  0.0035  0.1033  0.3072  0.0346  0.09
Uninsky 1971   14  0.3856  0.0010  0.1112  0.5545  0.0717  0.20
Wasowski 1980   28  0.3230  0.0040  0.0734  0.2657  0.0629  0.12
Zak 1937   57  0.2279  0.0068  0.0374  0.0385  0.0363  0.03
Zak 1951   67  0.2180  0.0071  0.0365  0.0386  0.0364  0.03
Random 1   89  0.0290  0.0081  0.0285  0.025  0.5141  0.10
Random 2   80  0.1341  0.0078  0.0376  0.036  0.4733  0.12
Random 3   88  0.0619  0.0139  0.0744  0.131  0.5914  0.28

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).