Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6027  0.0013  0.0713  0.4434  0.3219  0.38
Anderszewski 2003   18  0.5722  0.0110  0.0812  0.4617  0.4411  0.45
Ashkenazy 1981   8  0.608  0.0316  0.098  0.4729  0.3615  0.41
Bacha 2000   69  0.4337  0.0076  0.0385  0.0354  0.0571  0.04
Badura 1965   58  0.4749  0.0022  0.0538  0.1822  0.3732  0.26
Barbosa 1983   70  0.4339  0.0056  0.0555  0.0548  0.0757  0.06
Biret 1990   6  0.6021  0.0128  0.0619  0.3916  0.4018  0.39
Blet 2003   51  0.5071  0.0052  0.0556  0.0529  0.2250  0.10
Block 1995   74  0.4253  0.0065  0.0371  0.0365  0.0489  0.03
Blumental 1952   63  0.4419  0.0155  0.0746  0.0745  0.0661  0.06
Boshniakovich 1969   32  0.5451  0.0045  0.0558  0.0551  0.0569  0.05
Brailowsky 1960   73  0.4273  0.0082  0.0378  0.0364  0.0573  0.04
Bunin 1987   24  0.5612  0.016  0.1210  0.467  0.536  0.49
Bunin 1987b   26  0.5550  0.007  0.1014  0.447  0.528  0.48
Chiu 1999   78  0.3878  0.0071  0.0373  0.0364  0.0482  0.03
Cohen 1997   87  0.3070  0.0087  0.0466  0.0452  0.0576  0.04
Cortot 1951   55  0.4957  0.0054  0.0557  0.0520  0.3845  0.14
Csalog 1996   72  0.4218  0.0162  0.0559  0.0561  0.0568  0.05
Czerny 1949   19  0.5711  0.0214  0.0818  0.4223  0.4114  0.41
Czerny 1990   16  0.5832  0.0030  0.0825  0.3351  0.0643  0.14
Duchoud 2007   5  0.6024  0.0011  0.0916  0.436  0.565  0.49
Ezaki 2006   3  0.619  0.034  0.153  0.5210  0.512  0.51
Falvay 1989   53  0.4910  0.0243  0.0544  0.1261  0.0553  0.08
Farrell 1958   56  0.4854  0.0067  0.0468  0.0456  0.0666  0.05
Ferenczy 1958   61  0.4545  0.0061  0.0650  0.0623  0.3341  0.14
Fliere 1977   15  0.5829  0.0029  0.0623  0.3551  0.0639  0.14
Fou 1978   52  0.4972  0.0058  0.0747  0.0767  0.0467  0.05
Francois 1956   30  0.5413  0.0131  0.0631  0.2617  0.4922  0.36
Friedman 1923   85  0.3263  0.0078  0.0379  0.0350  0.0680  0.04
Friedman 1923b   84  0.3282  0.0077  0.0382  0.0349  0.0677  0.04
Friedman 1930   79  0.3868  0.0069  0.0467  0.0455  0.0574  0.04
Garcia 2007   82  0.3484  0.0079  0.0464  0.0460  0.0475  0.04
Garcia 2007b   86  0.3189  0.0080  0.0387  0.0387  0.0290  0.02
Gierzod 1998   7  0.6016  0.0117  0.097  0.4739  0.3217  0.39
Gornostaeva 1994   12  0.596  0.0419  0.126  0.4817  0.533  0.50
Groot 1988   39  0.5252  0.0047  0.0462  0.0465  0.0479  0.04
Harasiewicz 1955   25  0.551  0.241  0.232  0.5521  0.447  0.49
Hatto 1993   54  0.4988  0.0038  0.0742  0.1337  0.1544  0.14
Hatto 1997   37  0.5240  0.0024  0.0732  0.2620  0.3229  0.29
Horowitz 1949   68  0.4375  0.0073  0.0384  0.0358  0.0485  0.03
Indjic 1988   49  0.5076  0.0027  0.0537  0.1926  0.2333  0.21
Kapell 1951   4  0.6130  0.009  0.089  0.4710  0.4510  0.46
Kissin 1993   22  0.5715  0.0137  0.0736  0.2038  0.1736  0.18
Kushner 1989   2  0.615  0.0615  0.0820  0.3927  0.3223  0.35
Luisada 1991   46  0.5131  0.0048  0.0652  0.0655  0.0656  0.06
Lushtak 2004   47  0.5166  0.0026  0.0530  0.2947  0.0742  0.14
Malcuzynski 1961   9  0.6035  0.0020  0.0621  0.3720  0.3225  0.34
Magaloff 1978   23  0.5617  0.0140  0.0735  0.2137  0.1734  0.19
Magin 1975   13  0.5814  0.0112  0.0815  0.4418  0.4213  0.43
Michalowski 1933   60  0.4633  0.0035  0.0733  0.255  0.5420  0.37
Milkina 1970   21  0.5725  0.0042  0.0640  0.1548  0.0748  0.10
Mohovich 1999   31  0.5444  0.0039  0.0739  0.1759  0.0552  0.09
Moravec 1969   66  0.4465  0.0064  0.0372  0.0352  0.0481  0.03
Morozova 2008   27  0.5547  0.0023  0.0626  0.3329  0.2528  0.29
Neighaus 1950   14  0.5843  0.0025  0.0624  0.3433  0.2131  0.27
Niedzielski 1931   71  0.4277  0.0070  0.0370  0.0353  0.0484  0.03
Ohlsson 1999   1  0.672  0.192  0.281  0.5812  0.491  0.53
Osinska 1989   38  0.5234  0.0046  0.0560  0.0547  0.0664  0.05
Pachmann 1927   81  0.3561  0.0085  0.0374  0.0368  0.0487  0.03
Paderewski 1930   65  0.4459  0.0075  0.0377  0.0367  0.0486  0.03
Perlemuter 1992   48  0.5162  0.0032  0.0629  0.2918  0.4124  0.34
Pierdomenico 2008   62  0.4542  0.0066  0.0465  0.0429  0.2447  0.10
Poblocka 1999   33  0.5490  0.0050  0.0648  0.0676  0.0465  0.05
Rabcewiczowa 1932   45  0.5126  0.0044  0.0741  0.1436  0.1837  0.16
Rachmaninoff 1923   29  0.544  0.065  0.155  0.488  0.504  0.49
Rangell 2001   59  0.4760  0.0068  0.0469  0.0458  0.0578  0.04
Richter 1976   40  0.5236  0.0036  0.0834  0.2121  0.4027  0.29
Rosen 1989   50  0.5055  0.0059  0.0745  0.0763  0.0560  0.06
Rosenthal 1930   35  0.5364  0.0049  0.0463  0.0411  0.5938  0.15
Rosenthal 1931   75  0.4087  0.0081  0.0375  0.0331  0.3149  0.10
Rosenthal 1931b   77  0.3969  0.0083  0.0383  0.0339  0.1954  0.08
Rosenthal 1931c   44  0.5148  0.0053  0.0651  0.0612  0.6035  0.19
Rosenthal 1931d   76  0.3980  0.0084  0.0376  0.0344  0.1163  0.06
Rossi 2007   83  0.3320  0.0174  0.0386  0.0324  0.2851  0.09
Rubinstein 1939   80  0.3579  0.0086  0.0381  0.0380  0.0383  0.03
Rubinstein 1952   67  0.4323  0.0163  0.0561  0.0557  0.0570  0.05
Rubinstein 1966   64  0.4456  0.0072  0.0380  0.0381  0.0488  0.03
Schilhawsky 1960   36  0.5367  0.0034  0.0928  0.3129  0.3626  0.33
Shebanova 2002   41  0.5274  0.0057  0.0653  0.0645  0.0758  0.06
Smith 1975   20  0.577  0.0318  0.1111  0.4617  0.4212  0.44
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   11  0.6046  0.0021  0.0817  0.4222  0.3121  0.36
Tomsic 1995   42  0.5228  0.0051  0.0649  0.0625  0.2946  0.13
Uninsky 1932   43  0.5141  0.008  0.0722  0.3617  0.4516  0.40
Uninsky 1971   17  0.583  0.113  0.274  0.5216  0.449  0.48
Wasowski 1980   57  0.4838  0.0060  0.0554  0.0569  0.0472  0.04
Zak 1937   34  0.5383  0.0041  0.0643  0.1341  0.1540  0.14
Zak 1951   28  0.5481  0.0033  0.0827  0.3233  0.2330  0.27
Random 1   90  -0.0158  0.0088  0.0188  0.015  0.4655  0.07
Random 2   88  0.0185  0.0089  0.0189  0.0116  0.3859  0.06
Random 3   89  0.0086  0.0090  0.0190  0.0118  0.3262  0.06

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).