Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8317  0.008  0.117  0.4810  0.532  0.50
Ashkenazy 1981   14  0.7914  0.0012  0.0711  0.3723  0.246  0.30
Beliavsky 2004   51  0.712  0.0047  0.0639  0.0629  0.1834  0.10
BenOr 1989   11  0.808  0.007  0.123  0.5838  0.0713  0.20
Biret 1990   49  0.713  0.0053  0.0457  0.0459  0.0364  0.03
Blet 2003   6  0.8118  0.006  0.126  0.4923  0.205  0.31
Block 1995   55  0.6931  0.0055  0.0462  0.0443  0.0655  0.05
Brailowsky 1960   26  0.7632  0.0057  0.0640  0.0660  0.0451  0.05
Chiu 1999   48  0.7133  0.0030  0.0730  0.1336  0.0931  0.11
Clidat 1994   44  0.7234  0.0037  0.0544  0.0556  0.0554  0.05
Cohen 1997   46  0.7119  0.0052  0.0551  0.053  0.5917  0.17
Coop 1987   41  0.7335  0.0042  0.0545  0.0549  0.0652  0.05
Cortot 1951   16  0.7936  0.0056  0.0555  0.0540  0.0557  0.05
Czerny 1949   52  0.7037  0.0016  0.1217  0.3136  0.0722  0.15
Czerny 1949b   32  0.7520  0.0015  0.0812  0.3736  0.0718  0.16
Ezaki 2006   25  0.7721  0.0022  0.0618  0.3050  0.0625  0.13
Falvay 1989   20  0.7822  0.009  0.1023  0.2538  0.0824  0.14
Ferenczy 1958   9  0.8038  0.0026  0.0925  0.2327  0.2411  0.23
Fiorentino 1962   36  0.7439  0.0032  0.0632  0.1243  0.0741  0.09
Fliere 1977   8  0.8140  0.002  0.332  0.6422  0.284  0.42
Fou 1978   19  0.7841  0.0013  0.0813  0.3635  0.0915  0.18
Francois 1956   42  0.7342  0.0034  0.0548  0.0526  0.2037  0.10
Hatto 1997   1  1.001  1.001  0.981  1.001  1.001  1.00
Horowitz 1971   28  0.7643  0.0036  0.0550  0.0535  0.0747  0.06
Horowitz 1985   58  0.6344  0.0061  0.0635  0.0626  0.2130  0.11
Indjic 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   30  0.7545  0.0043  0.0636  0.0647  0.0645  0.06
Kiepura 1999   22  0.7746  0.0049  0.0638  0.0645  0.0548  0.05
Kilenyi 1937   43  0.7347  0.0023  0.0622  0.2642  0.0726  0.13
Kissin 1993   7  0.8148  0.003  0.165  0.5241  0.0714  0.19
Kitain 1937   62  0.2449  0.0062  0.0546  0.0556  0.0462  0.04
Kushner 1990   33  0.7450  0.0027  0.0924  0.2431  0.1416  0.18
Levy 1951   59  0.629  0.0059  0.0637  0.0656  0.0359  0.04
Luisada 1990   34  0.7415  0.0045  0.0734  0.0742  0.0646  0.06
Lushtak 2004   15  0.7923  0.0017  0.1016  0.3545  0.0527  0.13
Lympany 1968   23  0.775  0.0035  0.0554  0.0548  0.0549  0.05
Magaloff 1977   12  0.8051  0.0024  0.0819  0.2934  0.0920  0.16
Magaloff 1977b   13  0.8016  0.0025  0.0920  0.2935  0.0823  0.15
Magin 1975   17  0.7924  0.0028  0.0826  0.1747  0.0633  0.10
Milkina 1970   2  0.8725  0.0010  0.108  0.4713  0.433  0.45
Mohovich 1999   50  0.7152  0.0031  0.0731  0.1348  0.0639  0.09
Nadelmann 1956   31  0.7526  0.0021  0.0728  0.1620  0.3112  0.22
Ohlsson 1999   39  0.7353  0.0044  0.0641  0.0633  0.0842  0.07
Olejniczac 1990   35  0.7454  0.0029  0.0827  0.1742  0.0635  0.10
Olejniczak 1991   21  0.7710  0.0018  0.0921  0.2841  0.0821  0.15
Osinska 1989   4  0.834  0.005  0.104  0.5633  0.119  0.25
Paderewski 1912   54  0.6955  0.0020  0.0729  0.1333  0.0836  0.10
Perahia 1994   57  0.6627  0.0038  0.0459  0.0411  0.4128  0.13
Perlemuter 1986   38  0.7456  0.004  0.159  0.4341  0.0619  0.16
Poblocka 1999   27  0.7657  0.0041  0.0553  0.0544  0.0743  0.06
Rangell 2001   29  0.7558  0.0039  0.0458  0.0442  0.0756  0.05
Risler 1920   60  0.6011  0.0058  0.0461  0.0441  0.0558  0.04
Rosen 1989   37  0.7428  0.0051  0.0543  0.0554  0.0461  0.04
Rubinstein 1939   56  0.686  0.0054  0.0460  0.0425  0.1938  0.09
Rubinstein 1952   45  0.7259  0.0040  0.0552  0.0553  0.0463  0.04
Rubinstein 1966   10  0.8012  0.0048  0.0547  0.0536  0.0653  0.05
Rummel 1943   61  0.5860  0.0060  0.0456  0.0441  0.0560  0.04
Shebanova 2002   5  0.8113  0.0011  0.1110  0.4128  0.217  0.29
Smith 1975   24  0.777  0.0014  0.0814  0.3630  0.1810  0.25
Szpilman 1948   47  0.7129  0.0033  0.0542  0.0546  0.0550  0.05
Uninsky 1971   18  0.7961  0.0019  0.0915  0.3623  0.218  0.27
Wasowski 1980   40  0.7362  0.0046  0.0549  0.0518  0.2929  0.12
Weissenberg 1971   53  0.6963  0.0050  0.0733  0.0746  0.0644  0.06
Random 1    65  -0.0564  0.0065  0.0265  0.0256  0.0265  0.02
Random 2   63  0.1230  0.0063  0.0463  0.0411  0.2832  0.11
Random 3   64  -0.0465  0.0064  0.0264  0.024  0.4340  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).