Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5541  0.0028  0.0630  0.2656  0.0442  0.10
Anderszewski 2003   51  0.4617  0.0017  0.1021  0.3237  0.1524  0.22
Ashkenazy 1981   44  0.4873  0.0038  0.0739  0.1555  0.0546  0.09
Bacha 2000   55  0.4636  0.0062  0.0567  0.0544  0.1149  0.07
Badura 1965   60  0.4447  0.0040  0.0543  0.1043  0.1634  0.13
Barbosa 1983   54  0.4630  0.0024  0.0823  0.3134  0.2515  0.28
Biret 1990   42  0.4948  0.0046  0.0649  0.0667  0.0562  0.05
Blet 2003   32  0.5260  0.0041  0.0440  0.1536  0.1428  0.14
Block 1995   28  0.5250  0.0032  0.0628  0.2829  0.2320  0.25
Blumental 1952   74  0.3429  0.0074  0.0473  0.0486  0.0284  0.03
Boshniakovich 1969   26  0.5363  0.0042  0.0542  0.1161  0.0552  0.07
Brailowsky 1960   56  0.4649  0.0063  0.0474  0.0454  0.0566  0.04
Bunin 1987   52  0.4651  0.0057  0.0655  0.0649  0.0655  0.06
Bunin 1987b   48  0.4619  0.0056  0.0562  0.0547  0.0657  0.05
Chiu 1999   64  0.4174  0.0061  0.0471  0.0471  0.0467  0.04
Cohen 1997   72  0.3580  0.0072  0.0563  0.0531  0.2537  0.11
Cortot 1951   75  0.3344  0.0076  0.0654  0.0685  0.0376  0.04
Csalog 1996   35  0.5142  0.0039  0.0638  0.1716  0.4914  0.29
Czerny 1949   61  0.4470  0.0065  0.0478  0.0460  0.0474  0.04
Czerny 1990   17  0.5521  0.0025  0.0734  0.2364  0.0443  0.10
Duchoud 2007   59  0.4426  0.0051  0.0558  0.0550  0.0560  0.05
Ezaki 2006   4  0.6210  0.014  0.154  0.6315  0.465  0.54
Falvay 1989   1  0.672  0.172  0.431  0.761  0.731  0.74
Farrell 1958   46  0.4640  0.0052  0.0656  0.0646  0.0754  0.06
Ferenczy 1958   53  0.4643  0.0066  0.0480  0.0440  0.1451  0.07
Fliere 1977   18  0.5478  0.0030  0.0626  0.2976  0.0344  0.09
Fou 1978   7  0.6069  0.009  0.148  0.5928  0.3510  0.45
Francois 1956   36  0.5146  0.0031  0.0624  0.3038  0.2318  0.26
Friedman 1923   87  0.1384  0.0087  0.0383  0.0384  0.0390  0.03
Friedman 1923b   86  0.1376  0.0086  0.0385  0.0384  0.0386  0.03
Friedman 1930   85  0.2285  0.0085  0.0566  0.0580  0.0471  0.04
Garcia 2007   71  0.3564  0.0060  0.0470  0.0450  0.0661  0.05
Garcia 2007b   79  0.3258  0.0071  0.0477  0.0482  0.0389  0.03
Gierzod 1998   27  0.5231  0.0015  0.0916  0.3655  0.0533  0.13
Gornostaeva 1994   23  0.5354  0.0034  0.0727  0.2950  0.0535  0.12
Groot 1988   3  0.636  0.043  0.173  0.649  0.494  0.56
Harasiewicz 1955   20  0.5438  0.0010  0.1911  0.5536  0.2211  0.35
Hatto 1993   70  0.3672  0.0058  0.0653  0.0677  0.0463  0.05
Hatto 1997   65  0.4137  0.0047  0.0648  0.0681  0.0372  0.04
Horowitz 1949   62  0.4235  0.0073  0.0479  0.0477  0.0380  0.03
Indjic 1988   67  0.3959  0.0055  0.0647  0.0687  0.0369  0.04
Kapell 1951   15  0.5514  0.0137  0.0837  0.2055  0.0540  0.10
Kissin 1993   5  0.628  0.036  0.186  0.6125  0.388  0.48
Kushner 1989   10  0.5818  0.0011  0.1810  0.5637  0.1812  0.32
Luisada 1991   40  0.5077  0.0019  0.0831  0.2648  0.0729  0.13
Lushtak 2004   12  0.567  0.047  0.139  0.5626  0.409  0.47
Malcuzynski 1961   11  0.5833  0.0020  0.0818  0.3441  0.1622  0.23
Magaloff 1978   25  0.5332  0.0036  0.0736  0.2153  0.0539  0.10
Magin 1975   49  0.4662  0.0054  0.0845  0.0871  0.0453  0.06
Michalowski 1933   84  0.2483  0.0080  0.0386  0.0382  0.0381  0.03
Milkina 1970   6  0.619  0.025  0.165  0.6123  0.417  0.50
Mohovich 1999   2  0.671  0.441  0.442  0.744  0.732  0.73
Moravec 1969   50  0.4634  0.0070  0.0561  0.0582  0.0364  0.04
Morozova 2008   38  0.503  0.0513  0.1613  0.4542  0.1223  0.23
Neighaus 1950   30  0.5256  0.0035  0.0735  0.2360  0.0538  0.11
Niedzielski 1931   76  0.3355  0.0081  0.0472  0.0459  0.0379  0.03
Ohlsson 1999   34  0.5120  0.0026  0.0632  0.2664  0.0441  0.10
Osinska 1989   21  0.5425  0.0023  0.0819  0.3345  0.0727  0.15
Pachmann 1927   41  0.4915  0.0048  0.0651  0.0610  0.5126  0.17
Paderewski 1930   66  0.4081  0.0075  0.0650  0.0672  0.0458  0.05
Perlemuter 1992   31  0.5267  0.0027  0.0529  0.2835  0.2121  0.24
Pierdomenico 2008   45  0.4761  0.0049  0.0746  0.0739  0.1736  0.11
Poblocka 1999   29  0.5227  0.0044  0.0544  0.1066  0.0550  0.07
Rabcewiczowa 1932   58  0.4516  0.0045  0.0564  0.0543  0.1247  0.08
Rachmaninoff 1923   77  0.3339  0.0068  0.0384  0.0384  0.0378  0.03
Rangell 2001   37  0.5165  0.0022  0.0833  0.2426  0.3016  0.27
Richter 1976   47  0.4652  0.0067  0.0475  0.0457  0.0568  0.04
Rosen 1989   19  0.5428  0.0016  0.0914  0.4337  0.1617  0.26
Rosenthal 1930   82  0.3171  0.0084  0.0568  0.0580  0.0375  0.04
Rosenthal 1931   80  0.3268  0.0078  0.0565  0.0564  0.0470  0.04
Rosenthal 1931b   83  0.3086  0.0082  0.0382  0.0365  0.0488  0.03
Rosenthal 1931c   69  0.3787  0.0077  0.0469  0.0465  0.0477  0.04
Rosenthal 1931d   81  0.3188  0.0083  0.0481  0.0481  0.0387  0.03
Rossi 2007   78  0.3311  0.0159  0.0560  0.0521  0.3431  0.13
Rubinstein 1939   68  0.3866  0.0064  0.0559  0.0556  0.0556  0.05
Rubinstein 1952   8  0.604  0.0412  0.1812  0.5518  0.516  0.53
Rubinstein 1966   9  0.595  0.048  0.147  0.6113  0.603  0.60
Schilhawsky 1960   73  0.3575  0.0079  0.0387  0.0384  0.0382  0.03
Shebanova 2002   13  0.5613  0.0121  0.0920  0.3365  0.0532  0.13
Smith 1975   24  0.5323  0.0018  0.1017  0.3437  0.1819  0.25
Sokolov 2002   33  0.5224  0.0033  0.0625  0.2949  0.0630  0.13
Sztompka 1959   39  0.5012  0.0143  0.0541  0.1272  0.0548  0.08
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   63  0.4179  0.0069  0.0476  0.0477  0.0473  0.04
Uninsky 1971   43  0.4889  0.0053  0.0652  0.0676  0.0459  0.05
Wasowski 1980   57  0.4522  0.0050  0.0557  0.0566  0.0465  0.04
Zak 1937   22  0.5453  0.0029  0.0522  0.3242  0.1325  0.20
Zak 1951   14  0.5545  0.0014  0.1015  0.4136  0.2313  0.31
Random 1   89  -0.0357  0.0088  0.0288  0.027  0.4245  0.09
Random 2   90  -0.0782  0.0090  0.0190  0.0144  0.0983  0.03
Random 3   88  -0.0290  0.0089  0.0189  0.0134  0.1285  0.03

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).