Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6431  0.0017  0.0913  0.4715  0.5015  0.48
Anderszewski 2003   31  0.5637  0.0015  0.1011  0.487  0.5511  0.51
Ashkenazy 1981   35  0.5575  0.0020  0.0917  0.4120  0.4220  0.41
Bacha 2000   75  0.4254  0.0072  0.0481  0.0435  0.2659  0.10
Badura 1965   63  0.4953  0.0048  0.0554  0.0527  0.3553  0.13
Barbosa 1983   66  0.4839  0.0047  0.0556  0.0523  0.3749  0.14
Biret 1990   32  0.5677  0.0037  0.0436  0.2424  0.3237  0.28
Blet 2003   28  0.5652  0.0044  0.0841  0.1814  0.4436  0.28
Block 1995   34  0.5512  0.0145  0.0644  0.1212  0.4638  0.23
Blumental 1952   71  0.4536  0.0022  0.0931  0.2719  0.3133  0.29
Boshniakovich 1969   19  0.5932  0.0034  0.0833  0.2524  0.3532  0.30
Brailowsky 1960   48  0.5326  0.0061  0.0471  0.0421  0.4450  0.13
Bunin 1987   53  0.5140  0.0051  0.0651  0.0623  0.3848  0.15
Bunin 1987b   55  0.5178  0.0052  0.0648  0.0621  0.3945  0.15
Chiu 1999   76  0.4243  0.0070  0.0559  0.0544  0.1463  0.08
Cohen 1997   86  0.3355  0.0084  0.0647  0.0642  0.1760  0.10
Cortot 1951   47  0.5348  0.0033  0.0937  0.2213  0.4930  0.33
Csalog 1996   23  0.572  0.0710  0.0924  0.372  0.739  0.52
Czerny 1949   26  0.5689  0.0040  0.0532  0.2728  0.3531  0.31
Czerny 1990   9  0.6433  0.0018  0.0915  0.4517  0.4517  0.45
Duchoud 2007   56  0.5182  0.0049  0.0649  0.0620  0.4344  0.16
Ezaki 2006   13  0.639  0.0124  0.0823  0.3724  0.4122  0.39
Falvay 1989   41  0.5423  0.0055  0.0479  0.0440  0.1564  0.08
Farrell 1958   61  0.4935  0.0069  0.0470  0.0439  0.1665  0.08
Ferenczy 1958   17  0.6161  0.0021  0.0914  0.464  0.5910  0.52
Fliere 1977   3  0.694  0.023  0.282  0.717  0.631  0.67
Fou 1978   37  0.5518  0.0039  0.0542  0.1840  0.1543  0.16
Francois 1956   67  0.4864  0.0076  0.0386  0.0353  0.0489  0.03
Friedman 1923   85  0.3322  0.0080  0.0469  0.0446  0.0777  0.05
Friedman 1923b   84  0.3441  0.0079  0.0560  0.0558  0.0575  0.05
Friedman 1930   78  0.3928  0.0075  0.0476  0.0455  0.0583  0.04
Garcia 2007   77  0.4156  0.0073  0.0566  0.0520  0.3352  0.13
Garcia 2007b   81  0.3749  0.0078  0.0553  0.0538  0.1267  0.08
Gierzod 1998   8  0.6420  0.0014  0.124  0.5614  0.518  0.53
Gornostaeva 1994   33  0.5565  0.0062  0.0555  0.0552  0.0576  0.05
Groot 1988   43  0.5416  0.0050  0.0558  0.0536  0.2558  0.11
Harasiewicz 1955   52  0.5266  0.0025  0.0920  0.4138  0.2134  0.29
Hatto 1993   69  0.4713  0.0112  0.1125  0.3614  0.4124  0.38
Hatto 1997   54  0.517  0.028  0.1219  0.4111  0.4618  0.43
Horowitz 1949   62  0.4987  0.0071  0.0646  0.0630  0.4046  0.15
Indjic 1988   64  0.4815  0.0111  0.0926  0.3516  0.3926  0.37
Kapell 1951   2  0.713  0.042  0.343  0.663  0.593  0.62
Kissin 1993   10  0.6310  0.0116  0.0918  0.4127  0.3723  0.39
Kushner 1989   15  0.618  0.0235  0.0635  0.2442  0.1541  0.19
Luisada 1991   22  0.5834  0.0027  0.0830  0.2827  0.3829  0.33
Lushtak 2004   20  0.5947  0.0019  0.1212  0.487  0.5512  0.51
Malcuzynski 1961   27  0.5627  0.0053  0.0562  0.0554  0.0574  0.05
Magaloff 1978   40  0.5562  0.0059  0.0563  0.0568  0.0479  0.04
Magin 1975   45  0.5311  0.0146  0.0652  0.0652  0.0572  0.05
Michalowski 1933   65  0.4883  0.0031  0.0627  0.3310  0.4821  0.40
Milkina 1970   29  0.5672  0.0058  0.0473  0.0450  0.0773  0.05
Mohovich 1999   18  0.6144  0.0026  0.0822  0.3820  0.4919  0.43
Moravec 1969   57  0.5157  0.0074  0.0564  0.0537  0.1861  0.09
Morozova 2008   39  0.5529  0.0043  0.0743  0.1740  0.1347  0.15
Neighaus 1950   24  0.5717  0.0028  0.0721  0.3927  0.3028  0.34
Niedzielski 1931   68  0.4870  0.0067  0.0468  0.0422  0.3955  0.12
Ohlsson 1999   16  0.6150  0.0013  0.097  0.5214  0.4813  0.50
Osinska 1989   14  0.6245  0.0023  0.0916  0.4319  0.4816  0.45
Pachmann 1927   74  0.4380  0.0082  0.0474  0.0438  0.2062  0.09
Paderewski 1930   70  0.4768  0.0068  0.0485  0.0423  0.3056  0.11
Perlemuter 1992   60  0.5071  0.0065  0.0478  0.0443  0.1368  0.07
Pierdomenico 2008   80  0.3786  0.0083  0.0475  0.0472  0.0481  0.04
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   51  0.5258  0.0063  0.0650  0.0625  0.2751  0.13
Rachmaninoff 1923   72  0.4573  0.0066  0.0557  0.0566  0.0480  0.04
Rangell 2001   46  0.5342  0.0060  0.0565  0.0524  0.3254  0.13
Richter 1976   12  0.635  0.029  0.119  0.503  0.654  0.57
Rosen 1989   21  0.5859  0.0038  0.0538  0.2130  0.2639  0.23
Rosenthal 1930   59  0.5067  0.0077  0.0472  0.0432  0.2957  0.11
Rosenthal 1931   83  0.3490  0.0086  0.0480  0.0480  0.0384  0.03
Rosenthal 1931b   87  0.3291  0.0087  0.0483  0.0475  0.0387  0.03
Rosenthal 1931c   73  0.4579  0.0081  0.0387  0.0356  0.0488  0.03
Rosenthal 1931d   82  0.3688  0.0085  0.0388  0.0369  0.0386  0.03
Rossi 2007   88  0.2485  0.0088  0.0482  0.0463  0.0478  0.04
Rubinstein 1939   79  0.3725  0.0057  0.0484  0.0449  0.0582  0.04
Rubinstein 1952   58  0.5024  0.0029  0.0645  0.1048  0.0766  0.08
Rubinstein 1966   49  0.5214  0.0156  0.0561  0.0553  0.0870  0.06
Schilhawsky 1960   11  0.636  0.024  0.148  0.512  0.625  0.56
Shebanova 2002   6  0.6521  0.007  0.146  0.539  0.566  0.54
Smith 1975   25  0.5669  0.0042  0.0840  0.2033  0.2440  0.22
Sokolov 2002   44  0.5484  0.0054  0.0477  0.0449  0.0671  0.05
Sztompka 1959   4  0.6763  0.005  0.195  0.538  0.537  0.53
Tomsic 1995   50  0.5238  0.0064  0.0567  0.0545  0.1069  0.07
Uninsky 1932   42  0.5446  0.0032  0.0828  0.3021  0.4427  0.36
Uninsky 1971   5  0.6530  0.006  0.1310  0.4810  0.4914  0.48
Wasowski 1980   36  0.5519  0.0030  0.0629  0.2911  0.4825  0.37
Zak 1937   30  0.5676  0.0036  0.0634  0.2530  0.3235  0.28
Zak 1951   38  0.5551  0.0041  0.0639  0.2144  0.1642  0.18
Average   1  0.761  0.641  0.631  0.8416  0.492  0.64
Random 1   91  -0.0774  0.0091  0.0191  0.0177  0.0291  0.01
Random 2   89  -0.0481  0.0089  0.0289  0.0252  0.0585  0.03
Random 3   90  -0.0560  0.0090  0.0290  0.0268  0.0390  0.02

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).