Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.485  0.0036  0.0537  0.1883  0.0346  0.07
Anderszewski 2003   38  0.4656  0.0019  0.1027  0.3246  0.0628  0.14
Ashkenazy 1981   15  0.528  0.0021  0.0915  0.4546  0.0623  0.16
Bacha 2000   79  0.3234  0.0080  0.0287  0.0277  0.0470  0.03
Badura 1965   47  0.446  0.0013  0.1024  0.3432  0.3214  0.33
Barbosa 1983   43  0.4557  0.0039  0.0638  0.1553  0.0640  0.09
Biret 1990   50  0.4235  0.0057  0.0556  0.0575  0.0465  0.04
Blet 2003   33  0.4736  0.0043  0.0540  0.1245  0.0642  0.08
Block 1995   69  0.367  0.0053  0.0462  0.0480  0.0384  0.03
Blumental 1952   73  0.3458  0.0064  0.0374  0.0382  0.0385  0.03
Boshniakovich 1969   21  0.5159  0.0033  0.0732  0.2357  0.0538  0.11
Brailowsky 1960   60  0.4060  0.0074  0.0466  0.0476  0.0457  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.991  1.001  0.991  1.001  1.001  1.00
Chiu 1999   64  0.3914  0.0055  0.0553  0.0585  0.0358  0.04
Cohen 1997   86  0.2225  0.0086  0.0473  0.0485  0.0386  0.03
Cortot 1951   62  0.3961  0.0051  0.0555  0.0560  0.0466  0.04
Csalog 1996   83  0.3162  0.0076  0.0383  0.0360  0.0561  0.04
Czerny 1949   8  0.5537  0.0010  0.139  0.5125  0.379  0.43
Czerny 1990   29  0.4838  0.0045  0.0645  0.0674  0.0454  0.05
Duchoud 2007   34  0.4726  0.0035  0.0831  0.2628  0.3117  0.28
Ezaki 2006   11  0.5316  0.0022  0.0718  0.4171  0.0432  0.13
Falvay 1989   55  0.4163  0.0073  0.0463  0.0481  0.0373  0.03
Farrell 1958   61  0.3964  0.0069  0.0465  0.0486  0.0277  0.03
Ferenczy 1958   27  0.4927  0.0037  0.0635  0.1911  0.4316  0.29
Fliere 1977   9  0.5565  0.0014  0.0811  0.4972  0.0427  0.14
Fou 1978   56  0.4166  0.0071  0.0471  0.0487  0.0278  0.03
Francois 1956   37  0.4639  0.0050  0.0647  0.0657  0.0455  0.05
Friedman 1923   77  0.3240  0.0042  0.0541  0.1227  0.2919  0.19
Friedman 1923b   76  0.3367  0.0041  0.0539  0.1329  0.2420  0.18
Friedman 1930   54  0.4128  0.0018  0.0921  0.3817  0.4510  0.41
Garcia 2007   74  0.3317  0.0067  0.0381  0.0366  0.0483  0.03
Garcia 2007b   70  0.3529  0.0062  0.0558  0.0560  0.0469  0.04
Gierzod 1998   35  0.4668  0.0052  0.0557  0.0564  0.0462  0.04
Gornostaeva 1994   28  0.4869  0.0030  0.0636  0.1861  0.0443  0.08
Groot 1988   17  0.5241  0.0011  0.1119  0.4050  0.0626  0.15
Harasiewicz 1955   23  0.5042  0.008  0.1510  0.4941  0.1518  0.27
Hatto 1993   53  0.4170  0.0034  0.0634  0.2048  0.0834  0.13
Hatto 1997   32  0.4718  0.0020  0.0817  0.4248  0.0622  0.16
Horowitz 1949   10  0.544  0.0017  0.1114  0.4518  0.516  0.48
Indjic 1988   46  0.4443  0.0025  0.0730  0.2753  0.0633  0.13
Kapell 1951   4  0.5813  0.007  0.136  0.5526  0.348  0.43
Kissin 1993   59  0.4071  0.0072  0.0464  0.0483  0.0380  0.03
Kushner 1989   41  0.4572  0.0056  0.0560  0.0585  0.0279  0.03
Luisada 1991   42  0.4544  0.0061  0.0552  0.0559  0.0549  0.05
Lushtak 2004   6  0.5545  0.004  0.122  0.5925  0.415  0.49
Malcuzynski 1961   7  0.5546  0.009  0.145  0.5629  0.2713  0.39
Magaloff 1978   39  0.4530  0.0029  0.0642  0.1250  0.0541  0.08
Magin 1975   49  0.4347  0.0040  0.0543  0.1158  0.0445  0.07
Michalowski 1933   65  0.3873  0.0028  0.0728  0.3128  0.3415  0.32
Milkina 1970   68  0.373  0.0078  0.0375  0.0369  0.0559  0.04
Mohovich 1999   31  0.4774  0.0046  0.0554  0.0568  0.0464  0.04
Moravec 1969   75  0.3315  0.0083  0.0380  0.0374  0.0471  0.03
Morozova 2008   26  0.4919  0.0026  0.0726  0.3246  0.0629  0.14
Neighaus 1950   12  0.5375  0.0015  0.0913  0.4671  0.0431  0.14
Niedzielski 1931   72  0.3420  0.0065  0.0377  0.0350  0.0476  0.03
Ohlsson 1999   24  0.5076  0.0031  0.0625  0.3365  0.0437  0.11
Osinska 1989   58  0.4021  0.0068  0.0470  0.0467  0.0456  0.04
Pachmann 1927   40  0.4577  0.0048  0.0650  0.0614  0.4821  0.17
Paderewski 1930   52  0.4248  0.0058  0.0559  0.0559  0.0460  0.04
Perlemuter 1992   25  0.4978  0.0038  0.0633  0.2155  0.0539  0.10
Pierdomenico 2008   82  0.3179  0.0081  0.0385  0.0379  0.0374  0.03
Poblocka 1999   19  0.5131  0.0024  0.0822  0.3850  0.0624  0.15
Rabcewiczowa 1932   57  0.4180  0.0060  0.0651  0.0667  0.0451  0.05
Rachmaninoff 1923   14  0.5249  0.0012  0.108  0.5123  0.3211  0.40
Rangell 2001   66  0.3750  0.0066  0.0378  0.0371  0.0487  0.03
Richter 1976   13  0.5381  0.006  0.1012  0.4912  0.487  0.48
Rosen 1989   67  0.3710  0.0070  0.0468  0.0468  0.0463  0.04
Rosenthal 1930   45  0.4422  0.0049  0.0646  0.0627  0.3130  0.14
Rosenthal 1931   85  0.3051  0.0077  0.0382  0.0373  0.0381  0.03
Rosenthal 1931b   84  0.3182  0.0075  0.0469  0.0458  0.0467  0.04
Rosenthal 1931c   63  0.3983  0.0063  0.0467  0.0460  0.0468  0.04
Rosenthal 1931d   80  0.3284  0.0079  0.0376  0.0367  0.0388  0.03
Rossi 2007   87  0.2085  0.0087  0.0472  0.0477  0.0372  0.03
Rubinstein 1939   81  0.3286  0.0085  0.0384  0.0374  0.0475  0.03
Rubinstein 1952   78  0.329  0.0084  0.0286  0.0279  0.0489  0.03
Rubinstein 1966   71  0.3452  0.0082  0.0379  0.0384  0.0382  0.03
Schilhawsky 1960   3  0.5823  0.002  0.313  0.599  0.542  0.56
Shebanova 2002   51  0.422  0.0059  0.0561  0.0571  0.0552  0.05
Smith 1975   44  0.4487  0.0047  0.0648  0.0659  0.0450  0.05
Sokolov 2002   5  0.5688  0.005  0.147  0.5310  0.464  0.49
Sztompka 1959   22  0.5089  0.0027  0.0723  0.3447  0.0725  0.15
Tomsic 1995   36  0.4611  0.0054  0.0649  0.0655  0.0647  0.06
Uninsky 1932   18  0.5253  0.0016  0.0816  0.4423  0.3712  0.40
Uninsky 1971   2  0.6024  0.003  0.324  0.5613  0.463  0.51
Wasowski 1980   48  0.4312  0.0044  0.0644  0.1176  0.0444  0.07
Zak 1937   20  0.5154  0.0032  0.0629  0.2875  0.0436  0.11
Zak 1951   16  0.5255  0.0023  0.0920  0.3966  0.0435  0.12
Random 1   89  -0.0332  0.0089  0.0189  0.0114  0.3548  0.06
Random 2   88  -0.0290  0.0088  0.0188  0.0129  0.2453  0.05
Random 3   90  -0.0333  0.0090  0.0190  0.0152  0.0490  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).