Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4936  0.0028  0.0928  0.4158  0.0437  0.13
Anderszewski 2003   52  0.4259  0.0041  0.0641  0.1576  0.0345  0.07
Ashkenazy 1981   11  0.556  0.058  0.176  0.6332  0.2811  0.42
Bacha 2000   73  0.3784  0.0073  0.0287  0.0273  0.0466  0.03
Badura 1965   60  0.4129  0.0055  0.0552  0.0560  0.0555  0.05
Barbosa 1983   77  0.3548  0.0070  0.0385  0.0374  0.0474  0.03
Biret 1990   42  0.4634  0.0043  0.0542  0.1369  0.0446  0.07
Blet 2003   49  0.4249  0.0067  0.0365  0.0380  0.0376  0.03
Block 1995   39  0.4735  0.0035  0.1136  0.3436  0.1717  0.24
Blumental 1952   64  0.4050  0.0056  0.0549  0.0574  0.0464  0.04
Boshniakovich 1969   9  0.5517  0.0112  0.138  0.6131  0.2813  0.41
Brailowsky 1960   19  0.5139  0.0024  0.1016  0.5312  0.573  0.55
Bunin 1987   13  0.5419  0.0116  0.0918  0.5114  0.458  0.48
Bunin 1987b   15  0.5341  0.0023  0.1122  0.4918  0.4110  0.45
Chiu 1999   46  0.4520  0.0133  0.0930  0.3956  0.0534  0.14
Cohen 1997   87  0.1874  0.0086  0.0368  0.0384  0.0379  0.03
Cortot 1951   68  0.3890  0.0075  0.0376  0.0364  0.0482  0.03
Csalog 1996   83  0.3362  0.0083  0.0375  0.0373  0.0375  0.03
Czerny 1949   33  0.4787  0.0045  0.0554  0.0577  0.0361  0.04
Czerny 1990   25  0.5063  0.0046  0.0845  0.0877  0.0356  0.05
Duchoud 2007   70  0.3853  0.0062  0.0462  0.0457  0.0462  0.04
Ezaki 2006   45  0.4538  0.0048  0.0550  0.0575  0.0458  0.04
Falvay 1989   51  0.4277  0.0076  0.0384  0.0377  0.0469  0.03
Farrell 1958   59  0.4165  0.0063  0.0372  0.0385  0.0287  0.02
Ferenczy 1958   81  0.3466  0.0074  0.0288  0.0272  0.0388  0.02
Fliere 1977   6  0.5647  0.0010  0.109  0.6160  0.0427  0.16
Fou 1978   28  0.4921  0.0021  0.0826  0.4355  0.0532  0.15
Francois 1956   57  0.4170  0.0066  0.0371  0.0367  0.0384  0.03
Friedman 1923   82  0.3489  0.0059  0.0460  0.0453  0.0657  0.05
Friedman 1923b   80  0.3437  0.0057  0.0553  0.0540  0.1243  0.08
Friedman 1930   53  0.4232  0.0037  0.0838  0.2744  0.1030  0.16
Garcia 2007   76  0.3571  0.0069  0.0374  0.0364  0.0478  0.03
Garcia 2007b   79  0.3578  0.0064  0.0366  0.0384  0.0385  0.03
Gierzod 1998   34  0.4785  0.0036  0.1135  0.3583  0.0341  0.10
Gornostaeva 1994   44  0.4579  0.0061  0.0464  0.0479  0.0280  0.03
Groot 1988   1  0.5813  0.017  0.223  0.6621  0.425  0.53
Harasiewicz 1955   14  0.5323  0.006  0.165  0.6352  0.0622  0.19
Hatto 1993   58  0.4133  0.0019  0.1032  0.3743  0.1218  0.21
Hatto 1997   55  0.428  0.0418  0.0834  0.3552  0.0536  0.13
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   54  0.4255  0.0020  0.1233  0.3644  0.1120  0.20
Kapell 1951   37  0.479  0.0347  0.0647  0.0663  0.0451  0.05
Kissin 1993   17  0.5218  0.0115  0.0915  0.5452  0.0623  0.18
Kushner 1989   40  0.4780  0.0053  0.0555  0.0586  0.0271  0.03
Luisada 1991   24  0.5024  0.0031  0.0819  0.5158  0.0526  0.16
Lushtak 2004   56  0.4168  0.0050  0.0557  0.0572  0.0463  0.04
Malcuzynski 1961   3  0.5715  0.019  0.1110  0.5936  0.2114  0.35
Magaloff 1978   18  0.5130  0.0032  0.1023  0.4659  0.0435  0.14
Magin 1975   23  0.5042  0.0017  0.0921  0.4945  0.0819  0.20
Michalowski 1933   75  0.3654  0.0058  0.0459  0.0460  0.0560  0.04
Milkina 1970   16  0.5343  0.0022  0.0817  0.5152  0.0721  0.19
Mohovich 1999   21  0.5081  0.0026  0.0731  0.3857  0.0633  0.15
Moravec 1969   31  0.4722  0.0042  0.0743  0.1349  0.0542  0.08
Morozova 2008   29  0.4914  0.0129  0.0920  0.5054  0.0529  0.16
Neighaus 1950   10  0.5526  0.0011  0.1212  0.5763  0.0525  0.17
Niedzielski 1931   38  0.474  0.0613  0.1024  0.4516  0.479  0.46
Ohlsson 1999   35  0.4773  0.0038  0.1037  0.2771  0.0439  0.10
Osinska 1989   41  0.4625  0.0054  0.0548  0.0585  0.0359  0.04
Pachmann 1927   72  0.3731  0.0078  0.0383  0.0345  0.0852  0.05
Paderewski 1930   67  0.3861  0.0082  0.0378  0.0382  0.0373  0.03
Perlemuter 1992   32  0.4744  0.0039  0.0839  0.2562  0.0538  0.11
Pierdomenico 2008   63  0.4052  0.0051  0.0551  0.0549  0.0747  0.06
Poblocka 1999   27  0.4972  0.0027  0.0829  0.4045  0.0631  0.15
Rabcewiczowa 1932   74  0.3660  0.0084  0.0370  0.0375  0.0370  0.03
Rachmaninoff 1923   2  0.581  0.321  0.311  0.716  0.531  0.61
Rangell 2001   65  0.3956  0.0060  0.0461  0.0474  0.0381  0.03
Richter 1976   12  0.557  0.055  0.1311  0.5810  0.504  0.54
Rosen 1989   47  0.4346  0.0044  0.0544  0.1070  0.0448  0.06
Rosenthal 1930   43  0.4557  0.0040  0.0740  0.1824  0.3416  0.25
Rosenthal 1931   84  0.3369  0.0081  0.0463  0.0446  0.0654  0.05
Rosenthal 1931b   78  0.3575  0.0072  0.0367  0.0341  0.1449  0.06
Rosenthal 1931c   69  0.3858  0.0080  0.0369  0.0366  0.0483  0.03
Rosenthal 1931d   71  0.3882  0.0071  0.0379  0.0337  0.1944  0.08
Rossi 2007   86  0.1964  0.0087  0.0373  0.0379  0.0368  0.03
Rubinstein 1939   85  0.3345  0.0085  0.0556  0.0561  0.0550  0.05
Rubinstein 1952   66  0.3928  0.0079  0.0380  0.0361  0.0565  0.04
Rubinstein 1966   62  0.4083  0.0077  0.0381  0.0380  0.0477  0.03
Schilhawsky 1960   4  0.575  0.064  0.172  0.6912  0.522  0.60
Shebanova 2002   22  0.5012  0.0125  0.0714  0.5558  0.0524  0.17
Smith 1975   61  0.4076  0.0068  0.0382  0.0388  0.0286  0.02
Sokolov 2002   48  0.4386  0.0052  0.0458  0.0484  0.0367  0.03
Sztompka 1959   36  0.4716  0.0149  0.0646  0.0668  0.0553  0.05
Tomsic 1995   50  0.4240  0.0065  0.0377  0.0379  0.0472  0.03
Uninsky 1932   20  0.5111  0.0230  0.0725  0.4541  0.1615  0.27
Uninsky 1971   30  0.4827  0.0034  0.1227  0.4254  0.0628  0.16
Wasowski 1980   7  0.5610  0.0314  0.1013  0.5625  0.3012  0.41
Zak 1937   5  0.563  0.103  0.234  0.6425  0.386  0.49
Zak 1951   8  0.562  0.102  0.157  0.6327  0.367  0.48
Random 1   90  -0.1088  0.0089  0.0189  0.0170  0.0389  0.02
Random 2   88  0.0151  0.0088  0.0386  0.0317  0.3440  0.10
Random 3   89  -0.0667  0.0090  0.0190  0.0184  0.0290  0.01

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).