Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3641  0.0069  0.0477  0.0462  0.0476  0.04
Anderszewski 2003   33  0.4455  0.0046  0.0745  0.0756  0.0659  0.06
Ashkenazy 1981   68  0.3273  0.0072  0.0474  0.0454  0.0477  0.04
Bacha 2000   69  0.3250  0.0067  0.0473  0.0449  0.0570  0.04
Badura 1965   30  0.4510  0.0140  0.0637  0.1813  0.4526  0.28
Barbosa 1983   47  0.4074  0.0052  0.0560  0.0545  0.0955  0.07
Biret 1990   18  0.488  0.0122  0.0819  0.3536  0.2327  0.28
Blet 2003   31  0.454  0.0423  0.0917  0.394  0.5113  0.45
Block 1995   41  0.4220  0.0010  0.1223  0.3422  0.4317  0.38
Blumental 1952   43  0.4156  0.0026  0.0731  0.2336  0.2335  0.23
Boshniakovich 1969   21  0.4722  0.0027  0.0921  0.3444  0.0939  0.17
Brailowsky 1960   42  0.4166  0.0058  0.0562  0.0561  0.0663  0.05
Bunin 1987   48  0.4067  0.0054  0.0467  0.0437  0.1457  0.07
Bunin 1987b   51  0.3981  0.0053  0.0555  0.0528  0.2846  0.12
Chiu 1999   45  0.4168  0.0051  0.0554  0.0520  0.3443  0.13
Cohen 1997   77  0.2714  0.0166  0.0476  0.0437  0.1256  0.07
Cortot 1951   85  0.1582  0.0085  0.0284  0.0275  0.0390  0.02
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   74  0.3162  0.0076  0.0551  0.0561  0.0568  0.05
Czerny 1990   34  0.4469  0.0031  0.0632  0.2354  0.0647  0.12
Duchoud 2007   76  0.2847  0.0077  0.0556  0.0536  0.3244  0.13
Ezaki 2006   14  0.5154  0.0019  0.1213  0.4732  0.2519  0.34
Falvay 1989   1  0.661  0.601  0.591  0.822  0.761  0.79
Farrell 1958   72  0.3187  0.0075  0.0475  0.0454  0.0572  0.04
Ferenczy 1958   2  0.612  0.102  0.322  0.692  0.782  0.73
Fliere 1977   3  0.557  0.0212  0.145  0.6124  0.439  0.51
Fou 1978   26  0.4615  0.0116  0.0820  0.3527  0.2822  0.31
Francois 1956   84  0.1948  0.0080  0.0382  0.0377  0.0384  0.03
Friedman 1923   82  0.2178  0.0084  0.0478  0.0484  0.0385  0.03
Friedman 1923b   83  0.2183  0.0083  0.0286  0.0277  0.0483  0.03
Friedman 1930   73  0.3127  0.0073  0.0469  0.0455  0.0665  0.05
Garcia 2007   36  0.4317  0.0025  0.0828  0.305  0.6314  0.43
Garcia 2007b   61  0.3745  0.0056  0.0561  0.0546  0.0760  0.06
Gierzod 1998   7  0.5428  0.005  0.117  0.6026  0.3611  0.46
Gornostaeva 1994   24  0.4663  0.0017  0.1118  0.3524  0.4018  0.37
Groot 1988   19  0.4884  0.0034  0.0630  0.2328  0.2436  0.23
Harasiewicz 1955   23  0.4675  0.0028  0.0727  0.3247  0.0740  0.15
Hatto 1993   29  0.4535  0.0021  0.0824  0.3335  0.2329  0.28
Hatto 1997   16  0.486  0.028  0.1314  0.4730  0.3616  0.41
Horowitz 1949   78  0.2757  0.0082  0.0381  0.0366  0.0480  0.03
Indjic 1988   22  0.4737  0.0014  0.1315  0.4133  0.2920  0.34
Kapell 1951   6  0.545  0.033  0.269  0.5420  0.537  0.53
Kissin 1993   32  0.4424  0.0030  0.0633  0.2334  0.3925  0.30
Kushner 1989   13  0.5113  0.0115  0.1012  0.5143  0.1923  0.31
Luisada 1991   64  0.3679  0.0061  0.0464  0.0445  0.0761  0.05
Lushtak 2004   25  0.4639  0.0036  0.0634  0.2149  0.0550  0.10
Malcuzynski 1961   46  0.4032  0.0037  0.0639  0.1659  0.0551  0.09
Magaloff 1978   56  0.3830  0.0068  0.0559  0.0562  0.0471  0.04
Magin 1975   9  0.5418  0.0013  0.1410  0.5414  0.546  0.54
Michalowski 1933   87  0.1385  0.0086  0.0283  0.0244  0.0974  0.04
Milkina 1970   39  0.4231  0.0043  0.0643  0.1165  0.0554  0.07
Mohovich 1999   11  0.523  0.054  0.183  0.6611  0.583  0.62
Moravec 1969   17  0.4821  0.0033  0.0629  0.2734  0.2031  0.23
Morozova 2008   53  0.3976  0.0050  0.0647  0.0635  0.1649  0.10
Neighaus 1950   81  0.2388  0.0081  0.0285  0.0283  0.0289  0.02
Niedzielski 1931   67  0.3246  0.0045  0.0746  0.0712  0.4338  0.17
Ohlsson 1999   71  0.3164  0.0064  0.0557  0.0565  0.0473  0.04
Osinska 1989   4  0.5558  0.006  0.134  0.6627  0.495  0.57
Pachmann 1927   70  0.3251  0.0074  0.0379  0.0327  0.3648  0.10
Paderewski 1930   86  0.1452  0.0087  0.0287  0.0278  0.0386  0.02
Perlemuter 1992   49  0.3960  0.0060  0.0466  0.0422  0.3845  0.12
Pierdomenico 2008   50  0.3919  0.0032  0.0636  0.1922  0.4824  0.30
Poblocka 1999   37  0.4334  0.0020  0.0825  0.3342  0.1632  0.23
Rabcewiczowa 1932   57  0.3870  0.0049  0.0649  0.0646  0.0658  0.06
Rachmaninoff 1923   60  0.3771  0.0057  0.0648  0.0670  0.0464  0.05
Rangell 2001   80  0.2486  0.0079  0.0472  0.0475  0.0478  0.04
Richter 1976   40  0.4272  0.0047  0.0553  0.0544  0.1252  0.08
Rosen 1989   27  0.4623  0.0035  0.0635  0.1932  0.2934  0.23
Rosenthal 1930   65  0.3577  0.0071  0.0463  0.0439  0.1653  0.08
Rosenthal 1931   44  0.4138  0.0041  0.0642  0.1312  0.5030  0.25
Rosenthal 1931b   28  0.4512  0.0139  0.0638  0.187  0.5821  0.32
Rosenthal 1931c   20  0.4736  0.0024  0.0822  0.3410  0.6312  0.46
Rosenthal 1931d   35  0.4461  0.0042  0.0741  0.1410  0.5728  0.28
Rossi 2007   55  0.3842  0.0044  0.0644  0.1110  0.4833  0.23
Rubinstein 1939   54  0.3843  0.0059  0.0471  0.0474  0.0379  0.03
Rubinstein 1952   15  0.4940  0.0029  0.0726  0.3248  0.0741  0.15
Rubinstein 1966   5  0.5525  0.007  0.146  0.6131  0.4210  0.51
Schilhawsky 1960   66  0.3480  0.0065  0.0380  0.0361  0.0482  0.03
Shebanova 2002   52  0.3989  0.0055  0.0558  0.0552  0.0667  0.05
Smith 1975   59  0.3729  0.0038  0.0640  0.1642  0.1937  0.17
Sokolov 2002   38  0.4316  0.0048  0.0550  0.0531  0.3342  0.13
Sztompka 1959   79  0.2565  0.0078  0.0468  0.0480  0.0381  0.03
Tomsic 1995   8  0.5411  0.019  0.128  0.563  0.634  0.59
Uninsky 1932   75  0.3149  0.0063  0.0465  0.0448  0.0766  0.05
Uninsky 1971   58  0.3753  0.0070  0.0470  0.0473  0.0475  0.04
Wasowski 1980   62  0.3633  0.0062  0.0552  0.0558  0.0662  0.05
Zak 1937   12  0.5144  0.0018  0.1216  0.4020  0.4415  0.42
Zak 1951   10  0.549  0.0111  0.1311  0.5115  0.558  0.53
Random 1   89  -0.1059  0.0089  0.0189  0.0162  0.0388  0.02
Random 2   90  -0.1290  0.0090  0.0190  0.0181  0.0387  0.02
Random 3   88  -0.0526  0.0088  0.0288  0.0239  0.1469  0.05

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).