Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6928  0.0012  0.1026  0.2310  0.5014  0.34
Ashkenazy 1981   15  0.7061  0.0024  0.0824  0.2739  0.0834  0.15
Beliavsky 2004   53  0.6217  0.0033  0.0743  0.0728  0.2040  0.12
BenOr 1989   3  0.7348  0.006  0.214  0.6235  0.0918  0.24
Biret 1990   13  0.7127  0.0017  0.0717  0.3632  0.1519  0.23
Blet 2003   11  0.7111  0.009  0.1111  0.4110  0.545  0.47
Block 1995   57  0.6035  0.0057  0.0462  0.0442  0.0763  0.05
Brailowsky 1960   30  0.6723  0.0047  0.0553  0.055  0.5925  0.17
Chiu 1999   49  0.6425  0.0050  0.0644  0.0655  0.0560  0.05
Clidat 1994   26  0.6822  0.0034  0.0741  0.0738  0.0657  0.06
Cohen 1997   60  0.5837  0.0062  0.0461  0.0416  0.3741  0.12
Coop 1987   51  0.6362  0.0041  0.0554  0.0557  0.0561  0.05
Cortot 1951   54  0.6158  0.0059  0.0463  0.0455  0.0565  0.04
Czerny 1949   25  0.6857  0.0027  0.0725  0.2436  0.1033  0.15
Czerny 1949b   33  0.6751  0.0021  0.0816  0.3724  0.3512  0.36
Ezaki 2006   17  0.6959  0.0031  0.0929  0.2139  0.1035  0.14
Falvay 1989   35  0.6726  0.0049  0.0738  0.0751  0.0655  0.06
Ferenczy 1958   59  0.5960  0.0058  0.0459  0.0444  0.0662  0.05
Fiorentino 1962   7  0.729  0.008  0.188  0.5030  0.2115  0.32
Fliere 1977   5  0.735  0.015  0.286  0.5921  0.442  0.51
Fou 1978   23  0.6833  0.0022  0.0915  0.3840  0.0826  0.17
Francois 1956   62  0.5632  0.0063  0.0646  0.0625  0.2342  0.12
Hatto 1997   39  0.6646  0.0044  0.0558  0.0529  0.2246  0.10
Horowitz 1971   42  0.6544  0.0042  0.0555  0.0514  0.5031  0.16
Horowitz 1985   56  0.6139  0.0053  0.0649  0.063  0.6321  0.19
Indjic 2001   24  0.6840  0.0037  0.0735  0.0725  0.2836  0.14
Kapell 1951   6  0.7210  0.003  0.235  0.6020  0.423  0.50
Kiepura 1999   48  0.6424  0.0056  0.0557  0.0557  0.0464  0.04
Kilenyi 1937   32  0.6729  0.0023  0.1218  0.3638  0.1024  0.19
Kissin 1993   31  0.6749  0.0020  0.0920  0.3049  0.0639  0.13
Kitain 1937   63  0.4834  0.0061  0.0556  0.059  0.5330  0.16
Kushner 1990   14  0.7054  0.0019  0.0823  0.298  0.628  0.42
Levy 1951   40  0.6619  0.0029  0.0731  0.1822  0.3717  0.26
Luisada 1990   10  0.712  0.0416  0.0919  0.3133  0.1320  0.20
Lushtak 2004   37  0.6647  0.0051  0.0736  0.0733  0.1150  0.09
Lympany 1968   27  0.6852  0.0035  0.0645  0.0613  0.4529  0.16
Magaloff 1977   41  0.6663  0.0040  0.0833  0.0843  0.0753  0.07
Magaloff 1977b   47  0.6530  0.0046  0.0551  0.0536  0.0954  0.07
Magin 1975   8  0.724  0.0210  0.119  0.4731  0.2513  0.34
Milkina 1970   20  0.6813  0.0036  0.0740  0.0727  0.2538  0.13
Mohovich 1999   9  0.7215  0.004  0.203  0.645  0.711  0.67
Nadelmann 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   52  0.6242  0.0054  0.0739  0.0742  0.0752  0.07
Olejniczac 1990   4  0.733  0.027  0.237  0.5532  0.299  0.40
Olejniczak 1991   12  0.7120  0.0018  0.0912  0.4040  0.0922  0.19
Osinska 1989   2  0.7645  0.002  0.402  0.6829  0.334  0.47
Paderewski 1912   58  0.5916  0.0052  0.0650  0.0638  0.0758  0.06
Perahia 1994   46  0.658  0.0043  0.0648  0.0611  0.5028  0.17
Perlemuter 1986   38  0.666  0.0148  0.0742  0.0718  0.4227  0.17
Poblocka 1999   16  0.6941  0.0030  0.0927  0.2240  0.0837  0.13
Rangell 2001   29  0.6812  0.0032  0.0932  0.1740  0.0743  0.11
Risler 1920   61  0.5756  0.0055  0.0552  0.0535  0.1351  0.08
Rosen 1989   55  0.6131  0.0060  0.0460  0.0436  0.0859  0.06
Rubinstein 1939   34  0.6738  0.0025  0.0921  0.305  0.626  0.43
Rubinstein 1952   22  0.6814  0.0015  0.1310  0.4223  0.3510  0.38
Rubinstein 1966   19  0.6943  0.0014  0.1014  0.3813  0.487  0.43
Rummel 1943   44  0.6521  0.0028  0.0728  0.212  0.6511  0.37
Shebanova 2002   45  0.6553  0.0045  0.0647  0.0645  0.0756  0.06
Smith 1975   28  0.6850  0.0026  0.1022  0.2940  0.0832  0.15
Szpilman 1948   50  0.6455  0.0038  0.0737  0.0732  0.1248  0.09
Uninsky 1971   43  0.6536  0.0011  0.1030  0.2048  0.0545  0.10
Wasowski 1980   36  0.677  0.0039  0.0734  0.0733  0.1344  0.10
Weissenberg 1971   21  0.6818  0.0013  0.0913  0.3836  0.1023  0.19
Average   1  0.811  0.831  0.821  0.9134  0.0916  0.29
Random 1    65  0.0066  0.0065  0.0365  0.0317  0.2849  0.09
Random 2   64  0.0264  0.0064  0.0364  0.0321  0.3247  0.10
Random 3   66  -0.0365  0.0066  0.0166  0.0131  0.1066  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).