Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.711  0.161  0.162  0.6150  0.054  0.17
Ashkenazy 1981   9  0.647  0.057  0.086  0.5748  0.062  0.18
Beliavsky 2004   55  0.4713  0.0226  0.0822  0.1840  0.0622  0.10
BenOr 1989   29  0.5546  0.0040  0.0541  0.0563  0.0365  0.04
Biret 1990   15  0.6249  0.0030  0.0526  0.1441  0.0629  0.09
Blet 2003   4  0.682  0.124  0.161  0.6356  0.048  0.16
Block 1995   34  0.5430  0.0059  0.0454  0.0456  0.0564  0.04
Brailowsky 1960   26  0.5656  0.0039  0.0635  0.0646  0.0636  0.06
Chiu 1999   47  0.5126  0.0155  0.0457  0.0460  0.0459  0.04
Clidat 1994   40  0.5258  0.0045  0.0544  0.0546  0.0651  0.05
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Coop 1987   41  0.5251  0.0054  0.0639  0.0663  0.0362  0.04
Cortot 1951   17  0.6121  0.0123  0.0619  0.2548  0.0521  0.11
Czerny 1949   59  0.3950  0.0046  0.0636  0.0643  0.0638  0.06
Czerny 1949b   58  0.4442  0.0041  0.0549  0.0544  0.0646  0.05
Ezaki 2006   32  0.5438  0.0043  0.0455  0.0461  0.0457  0.04
Falvay 1989   39  0.5243  0.0056  0.0461  0.0460  0.0460  0.04
Ferenczy 1958   10  0.6365  0.0027  0.0532  0.0960  0.0437  0.06
Fiorentino 1962   43  0.5257  0.0050  0.0637  0.0648  0.0639  0.06
Fliere 1977   25  0.5761  0.0037  0.0546  0.0547  0.0640  0.05
Fou 1978   23  0.5754  0.0029  0.0531  0.1161  0.0432  0.07
Francois 1956   56  0.4724  0.0124  0.0820  0.2441  0.0620  0.12
Hatto 1997   2  0.7123  0.013  0.174  0.5851  0.053  0.17
Horowitz 1971   6  0.674  0.085  0.155  0.5860  0.0410  0.15
Horowitz 1985   45  0.5119  0.0122  0.0625  0.1655  0.0524  0.09
Indjic 2001   1  0.716  0.052  0.163  0.5951  0.055  0.17
Kapell 1951   36  0.5345  0.0053  0.0545  0.0548  0.0648  0.05
Kiepura 1999   22  0.573  0.0815  0.1023  0.1762  0.0430  0.08
Kilenyi 1937   49  0.4932  0.0048  0.0542  0.0552  0.0649  0.05
Kissin 1993   13  0.6235  0.0011  0.1121  0.2462  0.0423  0.10
Kitain 1937   63  0.1933  0.0047  0.0543  0.0536  0.0655  0.05
Kushner 1990   20  0.5817  0.0119  0.1116  0.3239  0.0612  0.14
Levy 1951   52  0.4914  0.0260  0.0458  0.0440  0.0643  0.05
Luisada 1990   33  0.5463  0.0034  0.0453  0.0443  0.0652  0.05
Lushtak 2004   12  0.6237  0.0017  0.0914  0.3963  0.0418  0.12
Lympany 1968   11  0.6329  0.0118  0.1211  0.4361  0.0414  0.13
Magaloff 1977   19  0.5944  0.0031  0.0628  0.1346  0.0626  0.09
Magaloff 1977b   18  0.5920  0.0128  0.0524  0.1763  0.0334  0.07
Magin 1975   38  0.5311  0.0357  0.0462  0.0459  0.0561  0.04
Milkina 1970   8  0.6515  0.0210  0.1010  0.4963  0.0315  0.12
Mohovich 1999   54  0.4825  0.0121  0.0630  0.1147  0.0631  0.08
Nadelmann 1956   31  0.5552  0.0025  0.0629  0.1358  0.0433  0.07
Ohlsson 1999   21  0.5716  0.0142  0.0550  0.0558  0.0463  0.04
Olejniczac 1990   46  0.5159  0.0049  0.0451  0.0447  0.0650  0.05
Olejniczak 1991   28  0.5640  0.0051  0.0734  0.0760  0.0445  0.05
Osinska 1989   14  0.628  0.0413  0.088  0.5343  0.061  0.18
Paderewski 1912   50  0.4934  0.0032  0.0727  0.1444  0.0627  0.09
Perahia 1994   57  0.475  0.066  0.0918  0.2751  0.0519  0.12
Perlemuter 1986   51  0.499  0.0416  0.1012  0.4240  0.066  0.16
Poblocka 1999   35  0.5364  0.0052  0.0460  0.0459  0.0458  0.04
Rangell 2001   48  0.5141  0.0058  0.0463  0.0446  0.0656  0.05
Risler 1920   60  0.3831  0.0062  0.0547  0.0556  0.0542  0.05
Rosen 1989   24  0.5753  0.0038  0.0638  0.0662  0.0454  0.05
Rubinstein 1939   27  0.5622  0.0120  0.1117  0.3138  0.0611  0.14
Rubinstein 1952   16  0.6112  0.0212  0.099  0.5337  0.059  0.16
Rubinstein 1966   5  0.6728  0.019  0.0915  0.3852  0.0416  0.12
Rummel 1943   61  0.3547  0.0044  0.0456  0.0436  0.0653  0.05
Shebanova 2002   7  0.6518  0.018  0.0813  0.3955  0.0417  0.12
Smith 1975   37  0.5355  0.0035  0.0452  0.0439  0.0644  0.05
Szpilman 1948   44  0.5227  0.0136  0.0548  0.0540  0.0641  0.05
Uninsky 1971   30  0.5510  0.0314  0.097  0.5453  0.057  0.16
Wasowski 1980   42  0.5236  0.0033  0.0833  0.0858  0.0435  0.06
Weissenberg 1971   53  0.4939  0.0061  0.0540  0.0551  0.0547  0.05
Random 1    65  -0.0260  0.0064  0.0264  0.026  0.3925  0.09
Random 2   62  0.2462  0.0063  0.0459  0.041  0.4913  0.14
Random 3   64  0.0448  0.0065  0.0265  0.026  0.3728  0.09

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).