Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6431  0.0016  0.0912  0.4714  0.5014  0.48
Anderszewski 2003   30  0.5616  0.0114  0.1110  0.486  0.5510  0.51
Ashkenazy 1981   34  0.5566  0.0019  0.0916  0.4119  0.4219  0.41
Bacha 2000   74  0.4259  0.0071  0.0480  0.0434  0.2658  0.10
Badura 1965   62  0.4955  0.0047  0.0653  0.0626  0.3549  0.14
Barbosa 1983   65  0.4842  0.0046  0.0555  0.0522  0.3748  0.14
Biret 1990   31  0.5673  0.0036  0.0435  0.2423  0.3236  0.28
Blet 2003   27  0.5656  0.0043  0.0840  0.1813  0.4435  0.28
Block 1995   33  0.5517  0.0144  0.0643  0.1211  0.4637  0.23
Blumental 1952   70  0.4534  0.0021  0.0930  0.2718  0.3132  0.29
Boshniakovich 1969   18  0.5932  0.0033  0.0832  0.2523  0.3531  0.30
Brailowsky 1960   47  0.5335  0.0060  0.0470  0.0420  0.4450  0.13
Bunin 1987   52  0.5138  0.0050  0.0650  0.0622  0.3847  0.15
Bunin 1987b   54  0.5177  0.0051  0.0647  0.0620  0.3944  0.15
Chiu 1999   75  0.4246  0.0069  0.0558  0.0543  0.1462  0.08
Cohen 1997   85  0.3360  0.0083  0.0646  0.0641  0.1759  0.10
Cortot 1951   46  0.5348  0.0032  0.0936  0.2212  0.4929  0.33
Csalog 1996   22  0.573  0.089  0.0923  0.371  0.738  0.52
Czerny 1949   25  0.5688  0.0039  0.0531  0.2727  0.3530  0.31
Czerny 1990   8  0.6437  0.0017  0.0914  0.4516  0.4516  0.45
Duchoud 2007   55  0.5181  0.0048  0.0648  0.0619  0.4343  0.16
Ezaki 2006   12  0.637  0.0323  0.0922  0.3723  0.4121  0.39
Falvay 1989   40  0.5425  0.0154  0.0478  0.0439  0.1563  0.08
Farrell 1958   60  0.4936  0.0068  0.0469  0.0438  0.1664  0.08
Ferenczy 1958   16  0.6157  0.0020  0.0913  0.463  0.599  0.52
Fliere 1977   2  0.692  0.122  0.281  0.716  0.631  0.67
Fou 1978   36  0.5523  0.0138  0.0541  0.1839  0.1542  0.16
Francois 1956   66  0.4851  0.0075  0.0385  0.0352  0.0488  0.03
Friedman 1923   84  0.3328  0.0079  0.0468  0.0445  0.0776  0.05
Friedman 1923b   83  0.3443  0.0078  0.0559  0.0557  0.0574  0.05
Friedman 1930   77  0.3930  0.0074  0.0475  0.0454  0.0582  0.04
Garcia 2007   76  0.4161  0.0072  0.0565  0.0519  0.3352  0.13
Garcia 2007b   80  0.3753  0.0077  0.0652  0.0637  0.1266  0.08
Gierzod 1998   7  0.6414  0.0113  0.133  0.5613  0.517  0.53
Gornostaeva 1994   32  0.5567  0.0061  0.0554  0.0551  0.0575  0.05
Groot 1988   42  0.5421  0.0149  0.0557  0.0535  0.2557  0.11
Harasiewicz 1955   51  0.5258  0.0024  0.0919  0.4137  0.2133  0.29
Hatto 1993   68  0.4720  0.0111  0.1124  0.3613  0.4123  0.38
Hatto 1997   53  0.514  0.067  0.1218  0.4110  0.4617  0.43
Horowitz 1949   61  0.4986  0.0070  0.0645  0.0629  0.4045  0.15
Indjic 1988   63  0.4826  0.0110  0.0925  0.3515  0.3925  0.37
Kapell 1951   1  0.711  0.351  0.342  0.662  0.592  0.62
Kissin 1993   9  0.6312  0.0215  0.0917  0.4126  0.3722  0.39
Kushner 1989   14  0.6111  0.0234  0.0634  0.2441  0.1540  0.19
Luisada 1991   21  0.5819  0.0126  0.0829  0.2826  0.3828  0.33
Lushtak 2004   19  0.5939  0.0018  0.1211  0.486  0.5511  0.51
Malcuzynski 1961   26  0.568  0.0352  0.0561  0.0553  0.0573  0.05
Magaloff 1978   39  0.5565  0.0058  0.0562  0.0567  0.0478  0.04
Magin 1975   44  0.5315  0.0145  0.0651  0.0651  0.0571  0.05
Michalowski 1933   64  0.4882  0.0030  0.0626  0.339  0.4820  0.40
Milkina 1970   28  0.5654  0.0057  0.0472  0.0449  0.0772  0.05
Mohovich 1999   17  0.6140  0.0025  0.0821  0.3819  0.4918  0.43
Moravec 1969   56  0.5162  0.0073  0.0563  0.0536  0.1860  0.09
Morozova 2008   38  0.5529  0.0042  0.0742  0.1739  0.1346  0.15
Neighaus 1950   23  0.5718  0.0127  0.0720  0.3926  0.3027  0.34
Niedzielski 1931   67  0.4872  0.0066  0.0467  0.0421  0.3954  0.12
Ohlsson 1999   15  0.6150  0.0012  0.096  0.5213  0.4812  0.50
Osinska 1989   13  0.6247  0.0022  0.0915  0.4318  0.4815  0.45
Pachmann 1927   73  0.4379  0.0081  0.0473  0.0437  0.2061  0.09
Paderewski 1930   69  0.4769  0.0067  0.0484  0.0422  0.3055  0.11
Perlemuter 1992   59  0.5070  0.0064  0.0477  0.0442  0.1367  0.07
Pierdomenico 2008   79  0.3785  0.0082  0.0474  0.0471  0.0480  0.04
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   50  0.5263  0.0062  0.0649  0.0624  0.2751  0.13
Rachmaninoff 1923   71  0.4574  0.0065  0.0556  0.0565  0.0479  0.04
Rangell 2001   45  0.5344  0.0059  0.0564  0.0523  0.3253  0.13
Richter 1976   11  0.635  0.058  0.118  0.502  0.653  0.57
Rosen 1989   20  0.5845  0.0037  0.0537  0.2129  0.2638  0.23
Rosenthal 1930   58  0.5071  0.0076  0.0471  0.0431  0.2956  0.11
Rosenthal 1931   82  0.3489  0.0085  0.0479  0.0479  0.0383  0.03
Rosenthal 1931b   86  0.3290  0.0086  0.0482  0.0474  0.0386  0.03
Rosenthal 1931c   72  0.4578  0.0080  0.0386  0.0355  0.0487  0.03
Rosenthal 1931d   81  0.3687  0.0084  0.0387  0.0368  0.0385  0.03
Rossi 2007   87  0.2484  0.0087  0.0481  0.0462  0.0477  0.04
Rubinstein 1939   78  0.3733  0.0056  0.0483  0.0448  0.0581  0.04
Rubinstein 1952   57  0.5027  0.0028  0.0644  0.1047  0.0765  0.08
Rubinstein 1966   48  0.5222  0.0155  0.0560  0.0552  0.0869  0.06
Schilhawsky 1960   10  0.636  0.043  0.147  0.511  0.624  0.56
Shebanova 2002   5  0.6510  0.026  0.145  0.538  0.565  0.54
Smith 1975   24  0.5668  0.0041  0.0839  0.2032  0.2439  0.22
Sokolov 2002   43  0.5483  0.0053  0.0476  0.0448  0.0670  0.05
Sztompka 1959   3  0.6713  0.014  0.194  0.537  0.536  0.53
Tomsic 1995   49  0.5241  0.0063  0.0566  0.0544  0.1068  0.07
Uninsky 1932   41  0.5449  0.0031  0.0827  0.3020  0.4426  0.36
Uninsky 1971   4  0.659  0.025  0.139  0.489  0.4913  0.48
Wasowski 1980   35  0.5524  0.0129  0.0628  0.2910  0.4824  0.37
Zak 1937   29  0.5676  0.0035  0.0633  0.2529  0.3234  0.28
Zak 1951   37  0.5552  0.0040  0.0638  0.2143  0.1641  0.18
Random 1   90  -0.0775  0.0090  0.0190  0.0177  0.0290  0.01
Random 2   88  -0.0480  0.0088  0.0288  0.0251  0.0584  0.03
Random 3   89  -0.0564  0.0089  0.0289  0.0269  0.0389  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).