Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.5762  0.0021  0.1219  0.4041  0.2218  0.30
Anderszewski 2003   62  0.4471  0.0056  0.0648  0.0651  0.0569  0.05
Ashkenazy 1981   35  0.5157  0.0032  0.0629  0.2559  0.0447  0.10
Bacha 2000   81  0.3584  0.0083  0.0472  0.0463  0.0572  0.04
Badura 1965   54  0.4666  0.0053  0.0646  0.0658  0.0571  0.05
Barbosa 1983   48  0.4838  0.0047  0.0647  0.0657  0.0568  0.05
Biret 1990   58  0.4588  0.0057  0.0554  0.0578  0.0481  0.04
Blet 2003   11  0.5625  0.0018  0.0910  0.477  0.515  0.49
Block 1995   27  0.5311  0.0210  0.0914  0.4412  0.458  0.44
Blumental 1952   60  0.4417  0.0160  0.0558  0.0559  0.0478  0.04
Boshniakovich 1969   14  0.5523  0.0122  0.0920  0.4035  0.2417  0.31
Brailowsky 1960   64  0.4450  0.0077  0.0378  0.0351  0.0673  0.04
Bunin 1987   42  0.4937  0.0049  0.0555  0.0533  0.2148  0.10
Bunin 1987b   49  0.4845  0.0051  0.0649  0.0633  0.2240  0.11
Chiu 1999   41  0.4973  0.0059  0.0465  0.0462  0.0474  0.04
Cohen 1997   83  0.3541  0.0067  0.0473  0.0451  0.0579  0.04
Cortot 1951   71  0.3978  0.0075  0.0387  0.0356  0.0583  0.04
Csalog 1996   73  0.3832  0.0054  0.0561  0.0540  0.1454  0.08
Czerny 1949   56  0.4686  0.0069  0.0468  0.0475  0.0477  0.04
Czerny 1990   10  0.5675  0.0026  0.0725  0.3545  0.0833  0.17
Duchoud 2007   67  0.4085  0.0071  0.0384  0.0369  0.0487  0.03
Ezaki 2006   30  0.5227  0.0045  0.0745  0.0762  0.0562  0.06
Falvay 1989   20  0.5426  0.0034  0.0637  0.1933  0.2229  0.20
Farrell 1958   66  0.4139  0.0055  0.0463  0.0439  0.1651  0.08
Ferenczy 1958   61  0.4476  0.0062  0.0557  0.0533  0.2145  0.10
Fliere 1977   1  0.631  0.371  0.371  0.7021  0.461  0.57
Fou 1978   9  0.5710  0.0313  0.098  0.5137  0.2113  0.33
Francois 1956   17  0.5519  0.018  0.129  0.4711  0.544  0.50
Friedman 1923   80  0.3564  0.0082  0.0559  0.0534  0.1850  0.09
Friedman 1923b   82  0.3570  0.0081  0.0379  0.0334  0.2155  0.08
Friedman 1930   70  0.3940  0.0072  0.0470  0.0445  0.0770  0.05
Garcia 2007   59  0.4559  0.0041  0.0641  0.145  0.6120  0.29
Garcia 2007b   68  0.4081  0.0058  0.0553  0.0528  0.2049  0.10
Gierzod 1998   38  0.5034  0.0038  0.0534  0.2159  0.0546  0.10
Gornostaeva 1994   22  0.5318  0.0114  0.0922  0.3731  0.2914  0.33
Groot 1988   7  0.583  0.073  0.124  0.5910  0.492  0.54
Harasiewicz 1955   2  0.612  0.072  0.182  0.6228  0.337  0.45
Hatto 1993   77  0.3753  0.0070  0.0381  0.0373  0.0488  0.03
Hatto 1997   78  0.3789  0.0076  0.0471  0.0486  0.0386  0.03
Horowitz 1949   51  0.4735  0.0061  0.0562  0.0539  0.2541  0.11
Indjic 1988   76  0.3747  0.0073  0.0383  0.0375  0.0485  0.03
Kapell 1951   53  0.4744  0.0050  0.0556  0.0550  0.0567  0.05
Kissin 1993   6  0.586  0.0512  0.0815  0.4441  0.1326  0.24
Kushner 1989   4  0.599  0.035  0.136  0.5528  0.319  0.41
Luisada 1991   28  0.5351  0.0037  0.0538  0.1847  0.0838  0.12
Lushtak 2004   23  0.5365  0.0011  0.0817  0.4148  0.0732  0.17
Malcuzynski 1961   47  0.4860  0.0040  0.0643  0.1354  0.0552  0.08
Magaloff 1978   36  0.5020  0.0131  0.0730  0.2469  0.0443  0.10
Magin 1975   39  0.5015  0.0130  0.0833  0.2242  0.1035  0.15
Michalowski 1933   69  0.3979  0.0063  0.0375  0.0356  0.0676  0.04
Milkina 1970   46  0.4990  0.0048  0.0651  0.0660  0.0664  0.06
Mohovich 1999   5  0.587  0.036  0.143  0.6022  0.473  0.53
Moravec 1969   65  0.4258  0.0079  0.0385  0.0364  0.0484  0.03
Morozova 2008   15  0.558  0.0320  0.1016  0.4332  0.2019  0.29
Neighaus 1950   13  0.5512  0.027  0.147  0.5123  0.3210  0.40
Niedzielski 1931   72  0.3828  0.0068  0.0377  0.0335  0.1659  0.07
Ohlsson 1999   52  0.4736  0.0044  0.0644  0.1251  0.0553  0.08
Osinska 1989   16  0.5554  0.0033  0.0628  0.2855  0.0539  0.12
Pachmann 1927   55  0.4646  0.0066  0.0464  0.0430  0.2744  0.10
Paderewski 1930   50  0.4821  0.0152  0.0652  0.0630  0.2142  0.11
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   63  0.4463  0.0064  0.0560  0.0547  0.0763  0.06
Poblocka 1999   40  0.5042  0.0043  0.0642  0.1377  0.0458  0.07
Rabcewiczowa 1932   44  0.4987  0.0039  0.0632  0.2225  0.2724  0.24
Rachmaninoff 1923   45  0.495  0.059  0.1027  0.3330  0.2221  0.27
Rangell 2001   75  0.3869  0.0074  0.0380  0.0350  0.0680  0.04
Richter 1976   32  0.5248  0.0024  0.0736  0.2030  0.3123  0.25
Rosen 1989   26  0.5322  0.0125  0.0721  0.3936  0.1822  0.26
Rosenthal 1930   74  0.3880  0.0078  0.0386  0.0338  0.1660  0.07
Rosenthal 1931   84  0.3361  0.0085  0.0382  0.0343  0.1265  0.06
Rosenthal 1931b   87  0.3231  0.0084  0.0376  0.0338  0.2056  0.08
Rosenthal 1931c   79  0.3555  0.0080  0.0374  0.0339  0.1957  0.08
Rosenthal 1931d   85  0.3272  0.0086  0.0469  0.0453  0.0582  0.04
Rossi 2007   57  0.4533  0.0065  0.0466  0.048  0.4837  0.14
Rubinstein 1939   86  0.3277  0.0087  0.0467  0.0467  0.0475  0.04
Rubinstein 1952   43  0.494  0.0523  0.0840  0.1631  0.2431  0.20
Rubinstein 1966   37  0.5014  0.0146  0.0650  0.0658  0.0766  0.06
Schilhawsky 1960   29  0.5224  0.0029  0.0826  0.3536  0.2716  0.31
Shebanova 2002   12  0.5513  0.0219  0.1013  0.4641  0.1227  0.23
Smith 1975   24  0.5349  0.0027  0.0723  0.3650  0.0734  0.16
Sokolov 2002   34  0.5143  0.0016  0.0918  0.4129  0.2912  0.34
Sztompka 1959   3  0.6016  0.014  0.115  0.5818  0.386  0.47
Tomsic 1995   31  0.5283  0.0035  0.0635  0.2129  0.2825  0.24
Uninsky 1932   25  0.5356  0.0036  0.0731  0.2340  0.1928  0.21
Uninsky 1971   18  0.5529  0.0015  0.0812  0.4727  0.3111  0.38
Wasowski 1980   33  0.5174  0.0042  0.0739  0.1744  0.1136  0.14
Zak 1937   21  0.5468  0.0028  0.0724  0.3544  0.1230  0.20
Zak 1951   19  0.5530  0.0017  0.1111  0.4739  0.2215  0.32
Random 1   89  -0.0682  0.0089  0.0189  0.0169  0.0389  0.02
Random 2   90  -0.1152  0.0090  0.0190  0.0188  0.0190  0.01
Random 3   88  -0.0467  0.0088  0.0288  0.0222  0.2761  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).