Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.4340  0.0034  0.0837  0.1929  0.3137  0.24
Anderszewski 2003   38  0.4247  0.0040  0.0638  0.1822  0.4934  0.30
Ashkenazy 1981   34  0.4364  0.0051  0.0650  0.0645  0.1067  0.08
Bacha 2000   56  0.3729  0.0055  0.0552  0.0529  0.2753  0.12
Badura 1965   54  0.3724  0.0047  0.0647  0.0610  0.5343  0.18
Barbosa 1983   40  0.4149  0.0020  0.0732  0.2930  0.3233  0.30
Biret 1990   21  0.4526  0.0025  0.0528  0.3210  0.6216  0.45
Blet 2003   76  0.2975  0.0081  0.0384  0.0374  0.0388  0.03
Block 1995   43  0.4071  0.0021  0.0726  0.3415  0.5222  0.42
Blumental 1952   26  0.4539  0.0030  0.0625  0.3417  0.5223  0.42
Boshniakovich 1969   71  0.3119  0.0050  0.0648  0.0662  0.0576  0.05
Brailowsky 1960   41  0.417  0.0241  0.0641  0.1227  0.4039  0.22
Bunin 1987   48  0.3935  0.0048  0.0558  0.0523  0.4049  0.14
Bunin 1987b   51  0.3745  0.0049  0.0845  0.0820  0.4242  0.18
Chiu 1999   31  0.4462  0.0042  0.0642  0.1123  0.2841  0.18
Cohen 1997   49  0.3815  0.0143  0.0543  0.1019  0.5538  0.23
Cortot 1951   82  0.2488  0.0076  0.0478  0.0464  0.0584  0.04
Csalog 1996   22  0.453  0.114  0.1617  0.428  0.5114  0.46
Czerny 1949   30  0.4441  0.0031  0.0631  0.3023  0.5525  0.41
Czerny 1990   8  0.4914  0.0112  0.0814  0.4426  0.5213  0.48
Duchoud 2007   66  0.3337  0.0067  0.0472  0.0432  0.2362  0.10
Ezaki 2006   10  0.4811  0.0118  0.1012  0.449  0.619  0.52
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   45  0.4028  0.0033  0.0735  0.2315  0.4732  0.33
Ferenczy 1958   13  0.4716  0.0015  0.119  0.471  0.826  0.62
Fliere 1977   37  0.4257  0.0037  0.0636  0.2050  0.0754  0.12
Fou 1978   5  0.505  0.057  0.166  0.5214  0.557  0.53
Francois 1956   79  0.2870  0.0072  0.0475  0.0430  0.2364  0.10
Friedman 1923   83  0.2386  0.0085  0.0380  0.0367  0.0585  0.04
Friedman 1923b   84  0.2373  0.0084  0.0382  0.0361  0.0582  0.04
Friedman 1930   73  0.3082  0.0074  0.0563  0.0547  0.0770  0.06
Garcia 2007   75  0.2965  0.0073  0.0561  0.0533  0.2163  0.10
Garcia 2007b   62  0.3456  0.0064  0.0646  0.0628  0.2657  0.12
Gierzod 1998   39  0.4246  0.0038  0.0639  0.1734  0.2540  0.21
Gornostaeva 1994   27  0.459  0.018  0.1511  0.459  0.628  0.53
Groot 1988   33  0.4350  0.0026  0.0722  0.3620  0.4128  0.38
Harasiewicz 1955   18  0.4633  0.0032  0.0629  0.3245  0.0846  0.16
Hatto 1993   16  0.4777  0.0019  0.1019  0.4027  0.3131  0.35
Hatto 1997   4  0.5112  0.019  0.148  0.4917  0.4912  0.49
Horowitz 1949   78  0.2878  0.0082  0.0287  0.0246  0.0686  0.03
Indjic 1988   12  0.4842  0.0016  0.0915  0.4422  0.4615  0.45
Kapell 1951   19  0.4622  0.0027  0.0621  0.3823  0.3330  0.35
Kissin 1993   36  0.4217  0.0039  0.0640  0.1532  0.4736  0.27
Kushner 1989   1  0.5310  0.015  0.201  0.6510  0.615  0.63
Luisada 1991   28  0.4427  0.0022  0.0824  0.3517  0.4924  0.41
Lushtak 2004   32  0.4325  0.0028  0.0727  0.3219  0.5027  0.40
Malcuzynski 1961   60  0.3566  0.0057  0.0555  0.0552  0.0574  0.05
Magaloff 1978   63  0.3331  0.0060  0.0568  0.0556  0.0573  0.05
Magin 1975   47  0.3920  0.0053  0.0651  0.0641  0.1860  0.10
Michalowski 1933   86  0.2080  0.0083  0.0285  0.0242  0.1669  0.06
Milkina 1970   3  0.521  0.401  0.403  0.637  0.701  0.66
Mohovich 1999   46  0.4052  0.0052  0.0554  0.0537  0.2558  0.11
Moravec 1969   2  0.534  0.083  0.185  0.583  0.684  0.63
Morozova 2008   44  0.4067  0.0045  0.0559  0.0535  0.2756  0.12
Neighaus 1950   72  0.3083  0.0077  0.0471  0.0464  0.0483  0.04
Niedzielski 1931   77  0.2884  0.0071  0.0567  0.0539  0.1959  0.10
Ohlsson 1999   61  0.3444  0.0068  0.0476  0.0462  0.0480  0.04
Osinska 1989   7  0.492  0.132  0.252  0.637  0.663  0.64
Pachmann 1927   81  0.2687  0.0080  0.0286  0.0252  0.0778  0.04
Paderewski 1930   87  0.1579  0.0087  0.0379  0.0385  0.0387  0.03
Perlemuter 1992   74  0.2951  0.0078  0.0477  0.0450  0.0672  0.05
Pierdomenico 2008   65  0.3343  0.0066  0.0569  0.0540  0.1366  0.08
Poblocka 1999   11  0.4813  0.0124  0.0913  0.4413  0.5511  0.49
Rabcewiczowa 1932   59  0.3618  0.0056  0.0560  0.0539  0.2261  0.10
Rachmaninoff 1923   57  0.3663  0.0059  0.0556  0.0547  0.0768  0.06
Rangell 2001   53  0.3760  0.0046  0.0566  0.0529  0.4150  0.14
Richter 1976   55  0.3755  0.0061  0.0473  0.0477  0.0477  0.04
Rosen 1989   42  0.4148  0.0044  0.0544  0.1035  0.1852  0.13
Rosenthal 1930   67  0.3358  0.0070  0.0562  0.0531  0.4048  0.14
Rosenthal 1931   68  0.3261  0.0062  0.0564  0.0521  0.5344  0.16
Rosenthal 1931b   69  0.3272  0.0069  0.0474  0.0427  0.4651  0.14
Rosenthal 1931c   58  0.3653  0.0054  0.0649  0.0622  0.4447  0.16
Rosenthal 1931d   70  0.3168  0.0065  0.0557  0.0515  0.5045  0.16
Rossi 2007   85  0.2159  0.0079  0.0381  0.0334  0.2565  0.09
Rubinstein 1939   25  0.4523  0.0011  0.1210  0.4611  0.5410  0.50
Rubinstein 1952   23  0.4530  0.0013  0.0916  0.4224  0.4917  0.45
Rubinstein 1966   9  0.4821  0.0010  0.127  0.5024  0.3721  0.43
Schilhawsky 1960   80  0.2654  0.0086  0.0383  0.0381  0.0389  0.03
Shebanova 2002   17  0.4632  0.0029  0.0733  0.2935  0.3135  0.30
Smith 1975   24  0.458  0.0214  0.1023  0.3618  0.5119  0.43
Sokolov 2002   52  0.3785  0.0063  0.0565  0.0537  0.2755  0.12
Sztompka 1959   64  0.3381  0.0075  0.0570  0.0575  0.0479  0.04
Tomsic 1995   6  0.496  0.046  0.244  0.622  0.702  0.66
Uninsky 1932   50  0.3776  0.0058  0.0553  0.0567  0.0481  0.04
Uninsky 1971   20  0.4674  0.0017  0.0818  0.4119  0.4620  0.43
Wasowski 1980   29  0.4438  0.0023  0.1020  0.3921  0.4918  0.44
Zak 1937   14  0.4736  0.0036  0.0734  0.2613  0.5129  0.36
Zak 1951   15  0.4734  0.0035  0.0930  0.3110  0.5226  0.40
Random 1   89  -0.0269  0.0088  0.0189  0.0124  0.3471  0.06
Random 2   88  0.0089  0.0089  0.0288  0.0243  0.1175  0.05
Random 3   90  -0.1290  0.0090  0.0190  0.0178  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).