Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4447  0.0039  0.0636  0.1980  0.0342  0.08
Anderszewski 2003   69  0.3262  0.0065  0.0658  0.0657  0.0456  0.05
Ashkenazy 1981   27  0.4651  0.0031  0.0723  0.3276  0.0337  0.10
Bacha 2000   58  0.3683  0.0063  0.0562  0.0574  0.0460  0.04
Badura 1965   83  0.2789  0.0079  0.0386  0.0382  0.0380  0.03
Barbosa 1983   84  0.2765  0.0073  0.0381  0.0381  0.0477  0.03
Biret 1990   26  0.4650  0.0017  0.0713  0.4557  0.0521  0.15
Blet 2003   59  0.3672  0.0074  0.0477  0.0487  0.0379  0.03
Block 1995   53  0.4076  0.0045  0.0752  0.0742  0.1044  0.08
Blumental 1952   79  0.2939  0.0058  0.0560  0.0585  0.0372  0.04
Boshniakovich 1969   12  0.4813  0.0220  0.0626  0.2770  0.0436  0.10
Brailowsky 1960   72  0.3290  0.0075  0.0475  0.0470  0.0463  0.04
Bunin 1987   74  0.3129  0.0082  0.0379  0.0385  0.0381  0.03
Bunin 1987b   75  0.3140  0.0081  0.0288  0.0280  0.0386  0.02
Chiu 1999   32  0.4518  0.0122  0.0618  0.3848  0.0619  0.15
Cohen 1997   78  0.3025  0.0168  0.0472  0.0458  0.0573  0.04
Cortot 1951   65  0.3337  0.0071  0.0474  0.0458  0.0575  0.04
Csalog 1996   57  0.3655  0.0062  0.0564  0.0551  0.0655  0.05
Czerny 1949   54  0.3971  0.0053  0.0846  0.0873  0.0450  0.06
Czerny 1990   14  0.4870  0.0033  0.0734  0.2179  0.0345  0.08
Duchoud 2007   34  0.4412  0.039  0.1025  0.2853  0.0527  0.12
Ezaki 2006   37  0.4488  0.0043  0.0543  0.1183  0.0347  0.06
Falvay 1989   7  0.5210  0.037  0.113  0.5628  0.351  0.44
Farrell 1958   39  0.4426  0.0127  0.0917  0.3940  0.1512  0.24
Ferenczy 1958   80  0.2961  0.0078  0.0382  0.0382  0.0287  0.02
Fliere 1977   6  0.5217  0.0114  0.1114  0.4385  0.0328  0.11
Fou 1978   22  0.4741  0.0016  0.0916  0.4249  0.0616  0.16
Francois 1956   25  0.464  0.075  0.188  0.5033  0.282  0.37
Friedman 1923   87  0.2234  0.0087  0.0476  0.0474  0.0476  0.04
Friedman 1923b   86  0.2344  0.0086  0.0468  0.0466  0.0574  0.04
Friedman 1930   71  0.3242  0.0067  0.0566  0.0558  0.0557  0.05
Garcia 2007   45  0.429  0.0319  0.0631  0.2417  0.368  0.29
Garcia 2007b   35  0.4414  0.0123  0.0722  0.3217  0.374  0.34
Gierzod 1998   23  0.4733  0.0035  0.0532  0.2370  0.0343  0.08
Gornostaeva 1994   29  0.4574  0.0050  0.0655  0.0681  0.0282  0.03
Groot 1988   20  0.4719  0.0113  0.1315  0.4334  0.265  0.33
Harasiewicz 1955   13  0.4811  0.036  0.0912  0.4560  0.0523  0.15
Hatto 1993   64  0.3430  0.0057  0.0845  0.0878  0.0451  0.06
Hatto 1997   67  0.3357  0.0055  0.0657  0.0674  0.0458  0.05
Horowitz 1949   52  0.4052  0.0054  0.0749  0.0751  0.0549  0.06
Indjic 1988   68  0.3375  0.0056  0.0653  0.0679  0.0454  0.05
Kapell 1951   40  0.4316  0.0149  0.0750  0.0781  0.0353  0.05
Kissin 1993   5  0.535  0.073  0.165  0.5365  0.0517  0.16
Kushner 1989   3  0.542  0.152  0.171  0.6343  0.137  0.29
Luisada 1991   42  0.4377  0.0052  0.0654  0.0677  0.0362  0.04
Lushtak 2004   46  0.4267  0.0036  0.0728  0.2551  0.0530  0.11
Malcuzynski 1961   11  0.4827  0.0128  0.0733  0.2360  0.0433  0.10
Magaloff 1978   16  0.486  0.0412  0.1011  0.4628  0.253  0.34
Magin 1975   17  0.4728  0.0024  0.0724  0.3046  0.0724  0.14
Michalowski 1933   66  0.3360  0.0069  0.0470  0.0470  0.0469  0.04
Milkina 1970   28  0.4515  0.018  0.129  0.4843  0.1310  0.25
Mohovich 1999   31  0.4579  0.0034  0.0535  0.2169  0.0438  0.09
Moravec 1969   60  0.3678  0.0060  0.0565  0.0572  0.0461  0.04
Morozova 2008   41  0.4356  0.0032  0.0530  0.2468  0.0435  0.10
Neighaus 1950   9  0.498  0.0315  0.1310  0.4761  0.0522  0.15
Niedzielski 1931   73  0.3245  0.0061  0.0563  0.0570  0.0366  0.04
Ohlsson 1999   10  0.483  0.084  0.157  0.5062  0.0425  0.14
Osinska 1989   4  0.5322  0.0111  0.106  0.5251  0.0614  0.18
Pachmann 1927   50  0.4124  0.0140  0.0641  0.1334  0.2215  0.17
Paderewski 1930   30  0.4523  0.0125  0.0627  0.2627  0.2411  0.25
Perlemuter 1992   36  0.4458  0.0048  0.0747  0.0760  0.0548  0.06
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   55  0.3787  0.0064  0.0471  0.0474  0.0464  0.04
Rabcewiczowa 1932   51  0.4166  0.0051  0.0559  0.0579  0.0367  0.04
Rachmaninoff 1923   61  0.3559  0.0038  0.0640  0.1575  0.0440  0.08
Rangell 2001   8  0.4963  0.0021  0.0621  0.3431  0.249  0.29
Richter 1976   49  0.4135  0.0059  0.0469  0.0453  0.0568  0.04
Rosen 1989   1  0.557  0.0410  0.124  0.5459  0.0518  0.16
Rosenthal 1930   70  0.3282  0.0083  0.0385  0.0383  0.0288  0.02
Rosenthal 1931   85  0.2685  0.0085  0.0378  0.0372  0.0378  0.03
Rosenthal 1931b   81  0.2880  0.0080  0.0384  0.0372  0.0384  0.03
Rosenthal 1931c   76  0.3084  0.0084  0.0383  0.0387  0.0385  0.03
Rosenthal 1931d   77  0.3068  0.0077  0.0380  0.0363  0.0483  0.03
Rossi 2007   48  0.4120  0.0144  0.0544  0.1014  0.4313  0.21
Rubinstein 1939   82  0.2836  0.0070  0.0473  0.0469  0.0465  0.04
Rubinstein 1952   43  0.4243  0.0047  0.0748  0.0736  0.1831  0.11
Rubinstein 1966   44  0.4273  0.0042  0.0542  0.1146  0.1034  0.10
Schilhawsky 1960   63  0.3449  0.0072  0.0561  0.0583  0.0371  0.04
Shebanova 2002   2  0.541  0.171  0.172  0.6338  0.166  0.32
Smith 1975   21  0.4746  0.0029  0.0837  0.1881  0.0346  0.07
Sokolov 2002   33  0.4521  0.0130  0.0629  0.2465  0.0432  0.10
Sztompka 1959   24  0.4664  0.0041  0.0738  0.1777  0.0441  0.08
Tomsic 1995   19  0.4753  0.0037  0.0639  0.1746  0.0729  0.11
Uninsky 1932   56  0.3732  0.0066  0.0656  0.0668  0.0559  0.05
Uninsky 1971   62  0.3486  0.0076  0.0467  0.0475  0.0470  0.04
Wasowski 1980   47  0.4238  0.0046  0.0751  0.0773  0.0452  0.05
Zak 1937   15  0.4831  0.0026  0.0620  0.3660  0.0526  0.13
Zak 1951   18  0.4754  0.0018  0.0719  0.3650  0.0620  0.15
Random 1   90  -0.0848  0.0090  0.0190  0.0178  0.0290  0.01
Random 2   89  -0.0881  0.0089  0.0189  0.0175  0.0289  0.01
Random 3   88  0.0069  0.0088  0.0287  0.0214  0.3939  0.09

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).