Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.6910  0.0046  0.0743  0.0717  0.3834  0.16
Ashkenazy 1981   18  0.7254  0.0035  0.0933  0.0935  0.0947  0.09
Beliavsky 2004   53  0.6343  0.0054  0.0835  0.0848  0.0555  0.06
BenOr 1989   6  0.7614  0.006  0.197  0.6422  0.389  0.49
Biret 1990   27  0.7059  0.0025  0.1125  0.2633  0.1035  0.16
Blet 2003   43  0.6746  0.0050  0.0747  0.0726  0.2240  0.12
Block 1995   33  0.6935  0.0044  0.0651  0.0628  0.2243  0.11
Brailowsky 1960   57  0.6060  0.0059  0.0653  0.0642  0.0849  0.07
Chiu 1999   13  0.735  0.0110  0.1410  0.5222  0.478  0.49
Clidat 1994   51  0.6353  0.0053  0.0558  0.0558  0.0465  0.04
Cohen 1997   60  0.5855  0.0060  0.0463  0.0432  0.1450  0.07
Coop 1987   5  0.7634  0.005  0.425  0.6717  0.494  0.57
Cortot 1951   52  0.6333  0.0058  0.0461  0.0442  0.0663  0.05
Czerny 1949   35  0.6931  0.0022  0.0924  0.2731  0.1924  0.23
Czerny 1949b   38  0.6851  0.0026  0.0731  0.1334  0.1239  0.12
Ezaki 2006   2  0.802  0.052  0.382  0.788  0.662  0.72
Falvay 1989   10  0.7424  0.0012  0.1615  0.4524  0.4214  0.43
Ferenczy 1958   49  0.6417  0.0049  0.0649  0.0611  0.5131  0.17
Fiorentino 1962   24  0.7140  0.0021  0.1219  0.3737  0.1126  0.20
Fliere 1977   17  0.7230  0.0017  0.1512  0.4829  0.2617  0.35
Fou 1978   15  0.7219  0.0016  0.1013  0.4831  0.2618  0.35
Francois 1956   58  0.5915  0.0057  0.0744  0.0712  0.5428  0.19
Hatto 1997   22  0.7213  0.0020  0.1222  0.2810  0.5516  0.39
Horowitz 1971   55  0.6232  0.0056  0.0838  0.0846  0.0558  0.06
Horowitz 1985   62  0.4757  0.0062  0.0650  0.0662  0.0459  0.05
Indjic 2001   11  0.748  0.0113  0.1516  0.445  0.626  0.52
Kapell 1951   14  0.7245  0.0015  0.1021  0.3042  0.0736  0.14
Kiepura 1999   36  0.6911  0.0043  0.0559  0.0519  0.5032  0.16
Kilenyi 1937   29  0.7048  0.0019  0.1017  0.4231  0.2819  0.34
Kissin 1993   7  0.7649  0.008  0.169  0.5831  0.1520  0.29
Kitain 1937   63  0.3758  0.0063  0.0655  0.0644  0.0657  0.06
Kushner 1990   40  0.676  0.0131  0.0629  0.1621  0.3921  0.25
Levy 1951   46  0.6661  0.0048  0.0741  0.0744  0.0652  0.06
Luisada 1990   23  0.7129  0.0036  0.0934  0.0930  0.2237  0.14
Lushtak 2004   8  0.747  0.017  0.146  0.653  0.713  0.68
Lympany 1968   34  0.6926  0.0040  0.0652  0.0615  0.4533  0.16
Magaloff 1977   31  0.7062  0.0029  0.0627  0.1739  0.0841  0.12
Magaloff 1977b   32  0.7052  0.0030  0.0728  0.1639  0.0844  0.11
Magin 1975   12  0.7422  0.0014  0.1114  0.4726  0.5011  0.48
Milkina 1970   16  0.729  0.0033  0.0840  0.0814  0.4825  0.20
Mohovich 1999   20  0.7216  0.0011  0.1211  0.4811  0.577  0.52
Nadelmann 1956   47  0.6538  0.0047  0.0745  0.0747  0.0656  0.06
Ohlsson 1999   21  0.7221  0.0018  0.1118  0.418  0.5312  0.47
Olejniczac 1990   25  0.7147  0.0024  0.0823  0.2733  0.1327  0.19
Olejniczak 1991   39  0.6864  0.0041  0.0656  0.0633  0.1545  0.09
Osinska 1989   4  0.7736  0.004  0.284  0.6828  0.3410  0.48
Paderewski 1912   50  0.6425  0.0042  0.0462  0.0442  0.0761  0.05
Perahia 1994   56  0.613  0.0227  0.0732  0.119  0.5322  0.24
Perlemuter 1986   30  0.7012  0.0034  0.0837  0.086  0.6723  0.23
Poblocka 1999   3  0.804  0.013  0.503  0.787  0.701  0.74
Rangell 2001   26  0.7150  0.0032  0.0830  0.1533  0.1138  0.13
Risler 1920   54  0.6256  0.0051  0.0836  0.0840  0.0948  0.08
Rosen 1989   48  0.6523  0.0052  0.0742  0.0715  0.4829  0.18
Rubinstein 1939   59  0.5842  0.0055  0.0560  0.0534  0.0854  0.06
Rubinstein 1952   41  0.6727  0.0045  0.0654  0.0644  0.0564  0.05
Rubinstein 1966   28  0.7044  0.0038  0.0746  0.0714  0.4230  0.17
Rummel 1943   61  0.5339  0.0061  0.0748  0.0758  0.0462  0.05
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   42  0.6741  0.0037  0.0839  0.0851  0.0553  0.06
Szpilman 1948   44  0.6737  0.0039  0.0657  0.0646  0.0651  0.06
Uninsky 1971   45  0.6728  0.0028  0.0626  0.1854  0.0546  0.09
Wasowski 1980   19  0.7218  0.0023  0.0920  0.3010  0.5015  0.39
Weissenberg 1971   9  0.7420  0.009  0.278  0.5923  0.3513  0.45
Average   1  0.841  0.821  0.811  0.9123  0.365  0.57
Random 1    66  -0.0265  0.0065  0.0265  0.0232  0.1160  0.05
Random 2   64  0.0466  0.0064  0.0464  0.0416  0.3842  0.12
Random 3   65  -0.0163  0.0066  0.0166  0.0127  0.1566  0.04

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).