Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6313  0.006  0.218  0.5810  0.548  0.56
Anderszewski 2003   55  0.4975  0.0061  0.0656  0.0651  0.0579  0.05
Ashkenazy 1981   36  0.5458  0.0033  0.0641  0.1443  0.1747  0.15
Bacha 2000   44  0.5363  0.0034  0.0539  0.1515  0.4830  0.27
Badura 1965   68  0.4586  0.0062  0.0558  0.0530  0.3351  0.13
Barbosa 1983   70  0.4577  0.0049  0.0559  0.0537  0.2456  0.11
Biret 1990   24  0.5754  0.0030  0.0627  0.3326  0.3029  0.31
Blet 2003   48  0.5173  0.0059  0.0562  0.0539  0.1369  0.08
Block 1995   31  0.557  0.0116  0.1024  0.3914  0.4519  0.42
Blumental 1952   71  0.4511  0.0035  0.0645  0.1132  0.1948  0.14
Boshniakovich 1969   17  0.6023  0.0013  0.1017  0.4319  0.4220  0.42
Brailowsky 1960   34  0.5461  0.0056  0.0847  0.0820  0.4740  0.19
Bunin 1987   88  0.3783  0.0088  0.0469  0.0469  0.0487  0.04
Bunin 1987b   87  0.3784  0.0087  0.0468  0.0464  0.0485  0.04
Chiu 1999   38  0.5430  0.0022  0.0820  0.419  0.5914  0.49
Cohen 1997   81  0.425  0.0169  0.0378  0.0314  0.4652  0.12
Cortot 1951   73  0.4457  0.0076  0.0379  0.0346  0.0782  0.05
Csalog 1996   52  0.506  0.0164  0.0467  0.0423  0.4150  0.13
Czerny 1949   51  0.5079  0.0045  0.0644  0.1149  0.0765  0.09
Czerny 1990   22  0.5876  0.0024  0.1016  0.4332  0.2626  0.33
Duchoud 2007   46  0.5233  0.0046  0.0654  0.068  0.5341  0.18
Ezaki 2006   8  0.6431  0.0010  0.137  0.599  0.547  0.56
Falvay 1989   26  0.5735  0.0040  0.0536  0.1826  0.3932  0.26
Farrell 1958   49  0.5153  0.0060  0.0466  0.0434  0.2162  0.09
Ferenczy 1958   62  0.4628  0.0070  0.0472  0.0436  0.1964  0.09
Fliere 1977   3  0.694  0.024  0.362  0.774  0.663  0.71
Fou 1978   11  0.639  0.019  0.119  0.5810  0.519  0.54
Francois 1956   40  0.5443  0.0026  0.1625  0.3521  0.4822  0.41
Friedman 1923   67  0.4634  0.0058  0.0649  0.069  0.5642  0.18
Friedman 1923b   64  0.4621  0.0057  0.0557  0.059  0.5446  0.16
Friedman 1930   56  0.4829  0.0044  0.0543  0.1211  0.5135  0.25
Garcia 2007   77  0.4416  0.0071  0.0380  0.0319  0.3360  0.10
Garcia 2007b   85  0.4088  0.0075  0.0381  0.0331  0.2071  0.08
Gierzod 1998   7  0.6422  0.008  0.236  0.638  0.546  0.58
Gornostaeva 1994   4  0.6910  0.013  0.294  0.722  0.772  0.74
Groot 1988   28  0.5526  0.0023  0.0821  0.4124  0.3923  0.40
Harasiewicz 1955   30  0.5540  0.0015  0.1123  0.4041  0.1636  0.25
Hatto 1993   65  0.4674  0.0050  0.0652  0.0639  0.1566  0.09
Hatto 1997   57  0.4859  0.0038  0.0533  0.2256  0.0559  0.10
Horowitz 1949   78  0.4369  0.0080  0.0471  0.0445  0.1076  0.06
Indjic 1988   72  0.4581  0.0051  0.0846  0.0839  0.1555  0.11
Kapell 1951   35  0.5455  0.0054  0.0561  0.0568  0.0484  0.04
Kissin 1993   18  0.6065  0.0021  0.0728  0.3228  0.3425  0.33
Kushner 1989   6  0.6518  0.007  0.1912  0.5316  0.4813  0.50
Luisada 1991   19  0.5945  0.0017  0.1014  0.4810  0.5511  0.51
Lushtak 2004   50  0.5139  0.0053  0.0653  0.0661  0.0581  0.05
Malcuzynski 1961   20  0.5941  0.0029  0.0631  0.2334  0.2438  0.23
Magaloff 1978   13  0.6138  0.0020  0.1018  0.4318  0.4118  0.42
Magin 1975   23  0.5819  0.0025  0.1322  0.4015  0.4617  0.43
Michalowski 1933   75  0.4432  0.0072  0.0387  0.0341  0.2067  0.08
Milkina 1970   16  0.6148  0.0018  0.1113  0.4919  0.4415  0.46
Mohovich 1999   5  0.653  0.045  0.265  0.646  0.665  0.65
Moravec 1969   59  0.4760  0.0065  0.0563  0.0548  0.0578  0.05
Morozova 2008   41  0.5417  0.0027  0.0626  0.3320  0.3127  0.32
Neighaus 1950   12  0.6272  0.0012  0.1210  0.5712  0.5010  0.53
Niedzielski 1931   83  0.4182  0.0081  0.0388  0.0355  0.0488  0.03
Ohlsson 1999   14  0.6115  0.0019  0.1115  0.4718  0.4416  0.45
Osinska 1989   2  0.702  0.102  0.363  0.772  0.761  0.76
Pachmann 1927   60  0.4712  0.0079  0.0377  0.0324  0.3753  0.11
Paderewski 1930   69  0.4590  0.0074  0.0384  0.0339  0.1477  0.06
Perlemuter 1992   45  0.5337  0.0042  0.0737  0.1822  0.3931  0.26
Pierdomenico 2008   32  0.5547  0.0055  0.0560  0.055  0.5444  0.16
Poblocka 1999   21  0.5836  0.0031  0.0730  0.2638  0.2137  0.23
Rabcewiczowa 1932   42  0.5485  0.0032  0.0729  0.2714  0.4324  0.34
Rachmaninoff 1923   66  0.4666  0.0047  0.0651  0.0645  0.0872  0.07
Rangell 2001   27  0.5514  0.0028  0.0634  0.2112  0.4728  0.31
Richter 1976   76  0.4420  0.0085  0.0376  0.0375  0.0389  0.03
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   63  0.4662  0.0077  0.0385  0.0336  0.1970  0.08
Rosenthal 1931   84  0.4164  0.0084  0.0383  0.0334  0.3063  0.09
Rosenthal 1931b   80  0.4271  0.0083  0.0473  0.0428  0.3257  0.11
Rosenthal 1931c   58  0.4870  0.0073  0.0375  0.0325  0.3758  0.11
Rosenthal 1931d   79  0.4378  0.0082  0.0386  0.0326  0.3161  0.10
Rossi 2007   82  0.4125  0.0068  0.0470  0.0413  0.4449  0.13
Rubinstein 1939   86  0.3767  0.0086  0.0374  0.0360  0.0583  0.04
Rubinstein 1952   47  0.5224  0.0052  0.0748  0.0721  0.4343  0.17
Rubinstein 1966   29  0.5550  0.0039  0.0535  0.1929  0.3634  0.26
Schilhawsky 1960   74  0.4480  0.0078  0.0382  0.0369  0.0490  0.03
Shebanova 2002   9  0.6351  0.0011  0.1011  0.5518  0.4812  0.51
Smith 1975   15  0.618  0.0114  0.1419  0.4320  0.3921  0.41
Sokolov 2002   54  0.5052  0.0063  0.0564  0.0546  0.0775  0.06
Sztompka 1959   25  0.5756  0.0036  0.0642  0.1344  0.0954  0.11
Tomsic 1995   39  0.5449  0.0043  0.0738  0.1615  0.4333  0.26
Uninsky 1932   61  0.4742  0.0067  0.0565  0.0557  0.0680  0.05
Uninsky 1971   43  0.5327  0.0048  0.0650  0.0642  0.1268  0.08
Wasowski 1980   53  0.5068  0.0066  0.0655  0.0648  0.0674  0.06
Zak 1937   33  0.5546  0.0041  0.0540  0.1540  0.1745  0.16
Zak 1951   37  0.5444  0.0037  0.0532  0.2335  0.2339  0.23
Average   1  0.761  0.711  0.711  0.8815  0.494  0.66
Random 1   90  -0.0689  0.0091  0.0191  0.0136  0.1586  0.04
Random 2   91  -0.0687  0.0090  0.0190  0.0164  0.0391  0.02
Random 3   89  0.0091  0.0089  0.0289  0.0228  0.2473  0.07

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).