Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5637  0.0036  0.0838  0.2248  0.0643  0.11
Anderszewski 2003   32  0.5416  0.0140  0.0640  0.1933  0.1936  0.19
Ashkenazy 1981   40  0.5229  0.0048  0.0850  0.0858  0.0460  0.06
Bacha 2000   33  0.5425  0.0042  0.0741  0.188  0.5326  0.31
Badura 1965   58  0.4432  0.0051  0.0753  0.0745  0.0856  0.07
Barbosa 1983   18  0.5921  0.007  0.156  0.662  0.685  0.67
Biret 1990   23  0.5659  0.0030  0.1226  0.3836  0.1732  0.25
Blet 2003   41  0.5181  0.0046  0.1145  0.1139  0.1242  0.11
Block 1995   62  0.4438  0.0049  0.0754  0.0740  0.1350  0.10
Blumental 1952   54  0.4762  0.0055  0.0659  0.0668  0.0466  0.05
Boshniakovich 1969   49  0.5036  0.0026  0.0733  0.2746  0.0740  0.14
Brailowsky 1960   45  0.5154  0.0056  0.0848  0.0836  0.2338  0.14
Bunin 1987   80  0.3467  0.0083  0.0384  0.0379  0.0387  0.03
Bunin 1987b   81  0.3455  0.0084  0.0477  0.0482  0.0382  0.03
Chiu 1999   44  0.5175  0.0035  0.0736  0.2631  0.3128  0.28
Cohen 1997   59  0.4446  0.0043  0.0742  0.1512  0.4630  0.26
Cortot 1951   68  0.4180  0.0073  0.0468  0.0468  0.0478  0.04
Csalog 1996   36  0.5366  0.0024  0.1029  0.3410  0.5818  0.44
Czerny 1949   51  0.4830  0.0054  0.0849  0.0864  0.0459  0.06
Czerny 1990   12  0.6010  0.0117  0.1115  0.5532  0.2522  0.37
Duchoud 2007   57  0.4670  0.0062  0.0465  0.0464  0.0475  0.04
Ezaki 2006   14  0.5931  0.0019  0.0917  0.5234  0.2324  0.35
Falvay 1989   16  0.599  0.0222  0.1219  0.4718  0.4915  0.48
Farrell 1958   22  0.5714  0.0118  0.0923  0.4110  0.4717  0.44
Ferenczy 1958   56  0.4617  0.0066  0.0469  0.0454  0.0473  0.04
Fliere 1977   13  0.6071  0.0015  0.1016  0.5346  0.0735  0.19
Fou 1978   5  0.645  0.044  0.314  0.705  0.636  0.66
Francois 1956   43  0.5156  0.0045  0.0755  0.0741  0.1646  0.11
Friedman 1923   84  0.2976  0.0085  0.0287  0.0275  0.0488  0.03
Friedman 1923b   86  0.2990  0.0086  0.0483  0.0480  0.0476  0.04
Friedman 1930   83  0.3085  0.0082  0.0385  0.0378  0.0484  0.03
Garcia 2007   74  0.3853  0.0065  0.0478  0.0438  0.1652  0.08
Garcia 2007b   82  0.3086  0.0063  0.0466  0.0455  0.0479  0.04
Gierzod 1998   30  0.5527  0.0038  0.0734  0.2745  0.0739  0.14
Gornostaeva 1994   39  0.5241  0.0033  0.0932  0.2833  0.2531  0.26
Groot 1988   19  0.5911  0.0114  0.139  0.627  0.5210  0.57
Harasiewicz 1955   53  0.4842  0.0031  0.0727  0.3644  0.1433  0.22
Hatto 1993   29  0.5522  0.0028  0.0824  0.3917  0.3423  0.36
Hatto 1997   20  0.5812  0.0123  0.1220  0.4616  0.3520  0.40
Horowitz 1949   71  0.4073  0.0075  0.0480  0.0481  0.0383  0.03
Indjic 1988   25  0.5628  0.0029  0.0925  0.3920  0.3125  0.35
Kapell 1951   31  0.546  0.0332  0.0835  0.2666  0.0449  0.10
Kissin 1993   10  0.6034  0.0012  0.228  0.6318  0.4811  0.55
Kushner 1989   6  0.6313  0.018  0.1511  0.629  0.539  0.57
Luisada 1991   21  0.5849  0.0021  0.1221  0.4424  0.4319  0.43
Lushtak 2004   11  0.6035  0.0011  0.1812  0.6115  0.4912  0.55
Malcuzynski 1961   55  0.4643  0.0058  0.0661  0.0666  0.0464  0.05
Magaloff 1978   37  0.5318  0.0044  0.0644  0.1370  0.0453  0.07
Magin 1975   61  0.4460  0.0060  0.0757  0.0767  0.0463  0.05
Michalowski 1933   87  0.2283  0.0087  0.0473  0.0472  0.0471  0.04
Milkina 1970   4  0.663  0.045  0.333  0.782  0.673  0.72
Mohovich 1999   2  0.682  0.092  0.232  0.791  0.772  0.78
Moravec 1969   52  0.4851  0.0059  0.0660  0.0650  0.0561  0.05
Morozova 2008   27  0.5540  0.0020  0.1022  0.4333  0.2027  0.29
Neighaus 1950   35  0.5374  0.0037  0.0839  0.2247  0.0644  0.11
Niedzielski 1931   76  0.3784  0.0077  0.0474  0.0456  0.0381  0.03
Ohlsson 1999   24  0.5619  0.0041  0.0643  0.1547  0.0651  0.09
Osinska 1989   8  0.627  0.026  0.287  0.658  0.567  0.60
Pachmann 1927   67  0.4250  0.0070  0.0464  0.0444  0.1254  0.07
Paderewski 1930   63  0.4465  0.0061  0.0467  0.0451  0.0570  0.04
Perlemuter 1992   47  0.5052  0.0050  0.0758  0.0750  0.0657  0.06
Pierdomenico 2008   64  0.4233  0.0057  0.1046  0.1042  0.1148  0.10
Poblocka 1999   38  0.5220  0.0047  0.0852  0.0860  0.0558  0.06
Rabcewiczowa 1932   48  0.5044  0.0039  0.0837  0.2338  0.1734  0.20
Rachmaninoff 1923   69  0.4124  0.0064  0.0472  0.0462  0.0468  0.04
Rangell 2001   46  0.5023  0.0025  0.0831  0.307  0.4721  0.38
Richter 1976   73  0.4064  0.0076  0.0479  0.0464  0.0469  0.04
Rosen 1989   28  0.5558  0.0027  0.0628  0.3634  0.1929  0.26
Rosenthal 1930   78  0.3757  0.0081  0.0386  0.0376  0.0386  0.03
Rosenthal 1931   72  0.4045  0.0069  0.0475  0.0429  0.3541  0.12
Rosenthal 1931b   77  0.3782  0.0079  0.0756  0.0740  0.1645  0.11
Rosenthal 1931c   70  0.4077  0.0078  0.0662  0.0662  0.0467  0.05
Rosenthal 1931d   79  0.3668  0.0080  0.0470  0.0456  0.0577  0.04
Rossi 2007   85  0.2988  0.0072  0.0482  0.0426  0.2747  0.10
Rubinstein 1939   3  0.688  0.023  0.255  0.672  0.734  0.70
Rubinstein 1952   1  0.711  0.571  0.561  0.861  0.811  0.83
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   65  0.4261  0.0071  0.0563  0.0561  0.0565  0.05
Shebanova 2002   17  0.5979  0.0016  0.1218  0.5024  0.4216  0.46
Smith 1975   34  0.5347  0.0034  0.0730  0.3145  0.0837  0.16
Sokolov 2002   60  0.4439  0.0067  0.0481  0.0480  0.0380  0.03
Sztompka 1959   42  0.5163  0.0052  0.0851  0.0860  0.0655  0.07
Tomsic 1995   15  0.5915  0.0113  0.1313  0.607  0.618  0.60
Uninsky 1932   75  0.3872  0.0074  0.0476  0.0464  0.0574  0.04
Uninsky 1971   66  0.4248  0.0068  0.0471  0.0466  0.0572  0.04
Wasowski 1980   50  0.4987  0.0053  0.0847  0.0883  0.0362  0.05
Zak 1937   7  0.624  0.049  0.1814  0.5512  0.5313  0.54
Zak 1951   9  0.6126  0.0010  0.2110  0.6214  0.4714  0.54
Random 1   90  -0.1178  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   88  -0.0289  0.0088  0.0288  0.0250  0.0585  0.03
Random 3   89  -0.0569  0.0089  0.0289  0.0278  0.0289  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).