Levy 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.633  0.0241  0.0650  0.0643  0.0650  0.06
Ashkenazy 1981   19  0.6819  0.0021  0.1220  0.4037  0.0824  0.18
Beliavsky 2004   52  0.6117  0.0050  0.0463  0.0442  0.0563  0.04
BenOr 1989   9  0.7246  0.0010  0.177  0.6841  0.0820  0.23
Biret 1990   22  0.6816  0.0017  0.1119  0.4727  0.2011  0.31
Blet 2003   54  0.6151  0.0059  0.0734  0.0758  0.0456  0.05
Block 1995   25  0.6749  0.0040  0.0735  0.0732  0.1536  0.10
Brailowsky 1960   46  0.6228  0.0047  0.0649  0.0624  0.4028  0.15
Chiu 1999   29  0.6660  0.0038  0.0553  0.0540  0.1041  0.07
Clidat 1994   34  0.6558  0.0031  0.0628  0.1557  0.0439  0.08
Cohen 1997   62  0.4856  0.0063  0.0652  0.0654  0.0460  0.05
Coop 1987   8  0.7241  0.008  0.178  0.6642  0.0819  0.23
Cortot 1951   48  0.6252  0.0051  0.0561  0.0521  0.3731  0.14
Czerny 1949   21  0.6818  0.0016  0.1116  0.5128  0.239  0.34
Czerny 1949b   14  0.6915  0.0011  0.179  0.6220  0.427  0.51
Ezaki 2006   12  0.7024  0.0013  0.1315  0.5333  0.1314  0.26
Falvay 1989   13  0.6912  0.0020  0.1618  0.4832  0.1415  0.26
Ferenczy 1958   55  0.6022  0.0054  0.0640  0.0632  0.1537  0.09
Fiorentino 1962   23  0.6750  0.0035  0.0651  0.0651  0.0653  0.06
Fliere 1977   3  0.744  0.023  0.214  0.7123  0.422  0.55
Fou 1978   2  0.742  0.042  0.432  0.7911  0.571  0.67
Francois 1956   61  0.5130  0.0061  0.0554  0.0544  0.0661  0.05
Hatto 1997   40  0.6553  0.0044  0.0641  0.0634  0.0842  0.07
Horowitz 1971   56  0.5947  0.0056  0.0562  0.0563  0.0364  0.04
Horowitz 1985   59  0.5732  0.0055  0.0642  0.0616  0.3927  0.15
Indjic 2001   39  0.6554  0.0043  0.0737  0.0737  0.0744  0.07
Kapell 1951   6  0.7227  0.007  0.2810  0.6224  0.328  0.45
Kiepura 1999   58  0.5837  0.0060  0.0555  0.0559  0.0462  0.04
Kilenyi 1937   17  0.6931  0.0018  0.1314  0.5632  0.2010  0.33
Kissin 1993   15  0.6966  0.0019  0.1217  0.5147  0.0625  0.17
Kitain 1937   63  0.4736  0.0062  0.0560  0.0533  0.1340  0.08
Kushner 1990   47  0.6235  0.0052  0.0645  0.0641  0.0748  0.06
Levy 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1990   37  0.6559  0.0039  0.0558  0.0542  0.0851  0.06
Lushtak 2004   31  0.6638  0.0034  0.0559  0.0544  0.0752  0.06
Lympany 1968   50  0.6143  0.0053  0.0639  0.0639  0.0645  0.06
Magaloff 1977   18  0.6840  0.0023  0.1121  0.3735  0.1022  0.19
Magaloff 1977b   20  0.6820  0.0024  0.1224  0.3340  0.0826  0.16
Magin 1975   38  0.6555  0.0032  0.0631  0.1238  0.1033  0.11
Milkina 1970   44  0.6342  0.0049  0.0643  0.0642  0.0746  0.06
Mohovich 1999   41  0.6439  0.0045  0.0556  0.0550  0.0559  0.05
Nadelmann 1956   30  0.6611  0.0015  0.1222  0.3731  0.1816  0.26
Ohlsson 1999   33  0.6629  0.0042  0.0646  0.0647  0.0647  0.06
Olejniczac 1990   24  0.6757  0.0036  0.0833  0.0846  0.0743  0.07
Olejniczak 1991   26  0.6663  0.0030  0.0627  0.2146  0.0832  0.13
Osinska 1989   7  0.728  0.016  0.266  0.6835  0.1112  0.27
Paderewski 1912   35  0.659  0.0122  0.1125  0.3127  0.2117  0.26
Perahia 1994   60  0.567  0.0127  0.0730  0.1426  0.2323  0.18
Perlemuter 1986   51  0.6133  0.0057  0.0557  0.0553  0.0555  0.05
Poblocka 1999   4  0.7321  0.005  0.263  0.7125  0.395  0.53
Rangell 2001   28  0.6661  0.0025  0.1323  0.3450  0.0630  0.14
Risler 1920   42  0.6434  0.0037  0.0638  0.0626  0.3329  0.14
Rosen 1989   49  0.6145  0.0058  0.0647  0.0651  0.0558  0.05
Rubinstein 1939   53  0.6113  0.0028  0.0632  0.1040  0.0738  0.08
Rubinstein 1952   36  0.6523  0.0046  0.0736  0.0747  0.0554  0.06
Rubinstein 1966   43  0.6325  0.0048  0.0648  0.0660  0.0457  0.05
Rummel 1943   57  0.5926  0.0029  0.0629  0.1415  0.3421  0.22
Shebanova 2002   27  0.6648  0.0033  0.0644  0.0641  0.0749  0.06
Smith 1975   5  0.726  0.014  0.195  0.7116  0.433  0.55
Szpilman 1948   16  0.6944  0.0012  0.1711  0.5920  0.466  0.52
Uninsky 1971   32  0.6614  0.0026  0.1126  0.2253  0.0535  0.10
Wasowski 1980   11  0.705  0.019  0.1713  0.5811  0.504  0.54
Weissenberg 1971   10  0.7110  0.0014  0.1312  0.5835  0.1118  0.25
Average   1  0.801  0.801  0.791  0.8938  0.0813  0.27
Random 1    66  -0.0465  0.0066  0.0166  0.0146  0.0466  0.02
Random 2   64  0.0164  0.0064  0.0364  0.0347  0.0365  0.03
Random 3   65  0.0062  0.0065  0.0265  0.023  0.6034  0.11
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).