Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6649  0.0011  0.1312  0.586  0.5512  0.56
Anderszewski 2003   32  0.588  0.0223  0.0825  0.3012  0.5026  0.39
Ashkenazy 1981   29  0.5828  0.0025  0.0727  0.2928  0.3732  0.33
Bacha 2000   77  0.4367  0.0077  0.0384  0.0345  0.0777  0.05
Badura 1965   60  0.5250  0.0063  0.0460  0.0430  0.3364  0.11
Barbosa 1983   53  0.5322  0.0048  0.0747  0.0712  0.4744  0.18
Biret 1990   40  0.5742  0.0050  0.0749  0.0728  0.2755  0.14
Blet 2003   43  0.5640  0.0052  0.0750  0.0711  0.4445  0.18
Block 1995   64  0.4988  0.0059  0.0376  0.0343  0.0981  0.05
Blumental 1952   38  0.5820  0.0114  0.1315  0.461  0.7111  0.57
Boshniakovich 1969   45  0.5679  0.0066  0.0556  0.0559  0.0582  0.05
Brailowsky 1960   68  0.4972  0.0079  0.0378  0.0356  0.0584  0.04
Bunin 1987   70  0.4870  0.0070  0.0474  0.0445  0.0683  0.05
Bunin 1987b   72  0.4860  0.0072  0.0380  0.0351  0.0585  0.04
Chiu 1999   50  0.5426  0.0040  0.0641  0.1213  0.5137  0.25
Cohen 1997   87  0.2966  0.0087  0.0461  0.0468  0.0487  0.04
Cortot 1951   73  0.4757  0.0075  0.0385  0.0325  0.3368  0.10
Csalog 1996   76  0.4352  0.0081  0.0558  0.0533  0.2563  0.11
Czerny 1949   1  0.742  0.292  0.461  0.811  0.841  0.82
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   66  0.4958  0.0058  0.0473  0.0442  0.1475  0.07
Ezaki 2006   7  0.6716  0.019  0.1410  0.617  0.5910  0.60
Falvay 1989   15  0.6211  0.0128  0.0729  0.2812  0.5525  0.39
Farrell 1958   51  0.5435  0.0056  0.0557  0.0518  0.3954  0.14
Ferenczy 1958   69  0.4859  0.0073  0.0381  0.0331  0.2471  0.08
Fliere 1977   4  0.6913  0.017  0.175  0.689  0.598  0.63
Fou 1978   42  0.5614  0.0131  0.0833  0.2329  0.3435  0.28
Francois 1956   23  0.6143  0.0021  0.0722  0.375  0.6316  0.48
Friedman 1923   79  0.4289  0.0061  0.0472  0.049  0.5156  0.14
Friedman 1923b   78  0.4286  0.0057  0.0559  0.0510  0.4948  0.16
Friedman 1930   58  0.5253  0.0046  0.0652  0.064  0.6043  0.19
Garcia 2007   82  0.3975  0.0080  0.0470  0.0449  0.0679  0.05
Garcia 2007b   83  0.3881  0.0076  0.0383  0.0340  0.1176  0.06
Gierzod 1998   20  0.6173  0.0016  0.1314  0.4722  0.4419  0.45
Gornostaeva 1994   22  0.6137  0.0034  0.0834  0.2123  0.4533  0.31
Groot 1988   28  0.595  0.0427  0.0723  0.364  0.5420  0.44
Harasiewicz 1955   16  0.629  0.028  0.1411  0.6110  0.5013  0.55
Hatto 1993   62  0.5129  0.0042  0.0740  0.1415  0.3838  0.23
Hatto 1997   59  0.5248  0.0049  0.0746  0.0731  0.2161  0.12
Horowitz 1949   63  0.5056  0.0074  0.0377  0.0345  0.0878  0.05
Indjic 1988   56  0.5236  0.0043  0.0542  0.1117  0.3542  0.20
Kapell 1951   5  0.684  0.043  0.152  0.751  0.614  0.68
Kissin 1993   6  0.6810  0.0210  0.148  0.6513  0.589  0.61
Kushner 1989   3  0.707  0.024  0.164  0.713  0.636  0.67
Luisada 1991   33  0.5868  0.0045  0.0653  0.0627  0.3749  0.15
Lushtak 2004   52  0.5469  0.0053  0.0654  0.0667  0.0480  0.05
Malcuzynski 1961   10  0.6525  0.0013  0.149  0.644  0.677  0.65
Magaloff 1978   30  0.5818  0.0135  0.0935  0.1918  0.4034  0.28
Magin 1975   34  0.5812  0.0122  0.0720  0.3813  0.4822  0.43
Michalowski 1933   74  0.4571  0.0064  0.0462  0.0426  0.3559  0.12
Milkina 1970   24  0.6161  0.0029  0.0921  0.3819  0.4324  0.40
Mohovich 1999   41  0.5774  0.0036  0.0538  0.1632  0.3040  0.22
Moravec 1969   8  0.663  0.066  0.206  0.671  0.783  0.72
Morozova 2008   14  0.6223  0.0012  0.1513  0.517  0.5015  0.50
Neighaus 1950   36  0.5855  0.0039  0.0639  0.1636  0.2046  0.18
Niedzielski 1931   48  0.5634  0.0044  0.0643  0.113  0.6136  0.26
Ohlsson 1999   27  0.5921  0.0041  0.0544  0.1139  0.1657  0.13
Osinska 1989   11  0.6533  0.0019  0.0818  0.4120  0.4621  0.43
Pachmann 1927   81  0.4077  0.0086  0.0468  0.0463  0.0586  0.04
Paderewski 1930   61  0.5241  0.0068  0.0469  0.0417  0.3262  0.11
Perlemuter 1992   47  0.5682  0.0054  0.0845  0.0825  0.3547  0.17
Pierdomenico 2008   71  0.4876  0.0071  0.0379  0.0334  0.2170  0.08
Poblocka 1999   13  0.6431  0.0015  0.1216  0.4514  0.4518  0.45
Rabcewiczowa 1932   31  0.5830  0.0033  0.0828  0.2911  0.4529  0.36
Rachmaninoff 1923   21  0.616  0.035  0.197  0.661  0.695  0.67
Rangell 2001   65  0.4939  0.0069  0.0467  0.0436  0.1969  0.09
Richter 1976   54  0.5347  0.0067  0.0465  0.0437  0.2367  0.10
Rosen 1989   35  0.5880  0.0032  0.0731  0.2615  0.4331  0.33
Rosenthal 1930   57  0.5244  0.0060  0.0463  0.0414  0.5851  0.15
Rosenthal 1931   85  0.3884  0.0083  0.0466  0.0427  0.3960  0.12
Rosenthal 1931b   86  0.3585  0.0085  0.0386  0.0335  0.2373  0.08
Rosenthal 1931c   67  0.4978  0.0062  0.0471  0.0415  0.5552  0.15
Rosenthal 1931d   84  0.3863  0.0084  0.0387  0.0333  0.2372  0.08
Rossi 2007   75  0.4424  0.0078  0.0382  0.039  0.4858  0.12
Rubinstein 1939   80  0.4262  0.0082  0.0375  0.0336  0.1774  0.07
Rubinstein 1952   55  0.5346  0.0055  0.0655  0.0634  0.2265  0.11
Rubinstein 1966   26  0.6019  0.0130  0.0932  0.2515  0.5528  0.37
Schilhawsky 1960   46  0.5664  0.0051  0.0748  0.0731  0.3350  0.15
Shebanova 2002   12  0.6417  0.0118  0.1219  0.4012  0.5317  0.46
Smith 1975   18  0.6151  0.0024  0.0724  0.3311  0.4823  0.40
Sokolov 2002   37  0.5865  0.0047  0.0651  0.0625  0.3353  0.14
Sztompka 1959   2  0.721  0.321  0.323  0.741  0.742  0.74
Tomsic 1995   49  0.5538  0.0065  0.0464  0.0434  0.2366  0.10
Uninsky 1932   19  0.6127  0.0017  0.1217  0.444  0.6714  0.54
Uninsky 1971   25  0.6032  0.0026  0.0726  0.3018  0.4230  0.35
Wasowski 1980   17  0.6115  0.0120  0.0730  0.279  0.5127  0.37
Zak 1937   39  0.5754  0.0038  0.0637  0.1733  0.2839  0.22
Zak 1951   44  0.5645  0.0037  0.0636  0.1938  0.2241  0.20
Random 1   90  -0.1090  0.0090  0.0190  0.0172  0.0389  0.02
Random 2   88  -0.0183  0.0088  0.0288  0.0255  0.0488  0.03
Random 3   89  -0.0487  0.0089  0.0289  0.0268  0.0390  0.02

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).