Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6564  0.0025  0.0627  0.2077  0.0347  0.08
Anderszewski 2003   25  0.6153  0.0021  0.0719  0.2825  0.2214  0.25
Ashkenazy 1981   35  0.5936  0.0020  0.0923  0.2440  0.1816  0.21
Bacha 2000   64  0.5181  0.0053  0.0646  0.0636  0.1741  0.10
Badura 1965   40  0.5823  0.0134  0.0534  0.1337  0.1826  0.15
Barbosa 1983   60  0.5413  0.0239  0.0443  0.0917  0.3222  0.17
Biret 1990   9  0.6542  0.006  0.087  0.4031  0.259  0.32
Blet 2003   30  0.6025  0.0148  0.0470  0.0448  0.0662  0.05
Block 1995   50  0.5631  0.0037  0.0637  0.1230  0.2423  0.17
Blumental 1952   67  0.5052  0.0072  0.0563  0.0575  0.0285  0.03
Boshniakovich 1969   15  0.6458  0.0033  0.0630  0.1737  0.1724  0.17
Brailowsky 1960   47  0.5732  0.0065  0.0645  0.0646  0.0656  0.06
Bunin 1987   68  0.5066  0.0069  0.0469  0.0449  0.0664  0.05
Bunin 1987b   71  0.4959  0.0068  0.0477  0.0444  0.1152  0.07
Chiu 1999   54  0.556  0.058  0.0724  0.2321  0.3311  0.28
Cohen 1997   86  0.3055  0.0083  0.0467  0.0466  0.0477  0.04
Cortot 1951   6  0.672  0.102  0.1515  0.3512  0.464  0.40
Csalog 1996   63  0.5130  0.0046  0.0474  0.0419  0.3634  0.12
Czerny 1949   22  0.6235  0.0024  0.0621  0.2645  0.0730  0.13
Czerny 1990   2  0.6920  0.0112  0.075  0.4158  0.0431  0.13
Duchoud 2007   48  0.5754  0.0059  0.0478  0.0443  0.1057  0.06
Ezaki 2006   24  0.6237  0.0055  0.0565  0.0569  0.0467  0.04
Falvay 1989   62  0.5250  0.0077  0.0475  0.0462  0.0568  0.04
Farrell 1958   32  0.6027  0.0051  0.0562  0.0569  0.0472  0.04
Ferenczy 1958   33  0.6040  0.0030  0.0533  0.1320  0.3018  0.20
Fliere 1977   5  0.677  0.0416  0.086  0.4044  0.1115  0.21
Fou 1978   59  0.5449  0.0064  0.0555  0.0558  0.0561  0.05
Francois 1956   55  0.5533  0.0067  0.0466  0.0453  0.0580  0.04
Friedman 1923   82  0.3571  0.0081  0.0481  0.0451  0.0666  0.05
Friedman 1923b   83  0.3572  0.0080  0.0386  0.0349  0.0678  0.04
Friedman 1930   78  0.4473  0.0074  0.0476  0.0465  0.0575  0.04
Garcia 2007   66  0.5188  0.0052  0.0561  0.0531  0.2735  0.12
Garcia 2007b   77  0.4416  0.0249  0.0473  0.0428  0.1851  0.08
Gierzod 1998   21  0.6279  0.0032  0.0526  0.2046  0.0640  0.11
Gornostaeva 1994   31  0.6018  0.0158  0.0648  0.0643  0.1050  0.08
Groot 1988   29  0.6029  0.0038  0.0442  0.0940  0.1142  0.10
Harasiewicz 1955   56  0.5519  0.0141  0.0536  0.1255  0.0455  0.07
Hatto 1993   65  0.5168  0.0045  0.0552  0.0541  0.1054  0.07
Hatto 1997   57  0.5426  0.0144  0.0541  0.0936  0.1339  0.11
Horowitz 1949   3  0.6811  0.035  0.083  0.4411  0.541  0.49
Indjic 1988   61  0.5343  0.0043  0.0438  0.1231  0.1825  0.15
Kapell 1951   4  0.674  0.064  0.151  0.5125  0.295  0.38
Kissin 1993   37  0.5939  0.0060  0.0564  0.0561  0.0474  0.04
Kushner 1989   7  0.6647  0.0018  0.0916  0.3448  0.0528  0.13
Luisada 1991   11  0.6512  0.0317  0.088  0.3931  0.327  0.35
Lushtak 2004   51  0.5676  0.0040  0.0439  0.1148  0.0648  0.08
Malcuzynski 1961   42  0.5869  0.0035  0.0531  0.1675  0.0353  0.07
Magaloff 1978   58  0.5451  0.0071  0.0551  0.0556  0.0560  0.05
Magin 1975   43  0.5834  0.0047  0.0468  0.0456  0.0571  0.04
Michalowski 1933   70  0.4961  0.0061  0.0559  0.0543  0.1545  0.09
Milkina 1970   14  0.6441  0.0022  0.0817  0.3165  0.0533  0.12
Mohovich 1999   27  0.6177  0.0029  0.0535  0.1350  0.0549  0.08
Moravec 1969   36  0.5928  0.0028  0.0532  0.1537  0.2220  0.18
Morozova 2008   8  0.6621  0.0113  0.0813  0.3640  0.1117  0.20
Neighaus 1950   38  0.5914  0.0219  0.0728  0.1857  0.0546  0.09
Niedzielski 1931   13  0.645  0.063  0.124  0.445  0.502  0.47
Ohlsson 1999   17  0.6415  0.0211  0.0812  0.3833  0.2012  0.28
Osinska 1989   1  0.731  0.211  0.212  0.4822  0.353  0.41
Pachmann 1927   80  0.3980  0.0082  0.0385  0.0366  0.0482  0.03
Paderewski 1930   52  0.5587  0.0066  0.0480  0.0478  0.0381  0.03
Perlemuter 1992   23  0.6274  0.0031  0.0529  0.1750  0.0543  0.09
Pierdomenico 2008   75  0.4663  0.0075  0.0483  0.0463  0.0470  0.04
Poblocka 1999   18  0.639  0.0410  0.0710  0.3935  0.1613  0.25
Rabcewiczowa 1932   41  0.5886  0.0056  0.0557  0.0536  0.1644  0.09
Rachmaninoff 1923   26  0.6122  0.0123  0.0918  0.2956  0.0436  0.11
Rangell 2001   73  0.4724  0.0163  0.0560  0.0547  0.0565  0.05
Richter 1976   39  0.5838  0.0050  0.0471  0.0420  0.3138  0.11
Rosen 1989   46  0.5856  0.0062  0.0550  0.0562  0.0476  0.04
Rosenthal 1930   79  0.4275  0.0079  0.0482  0.0473  0.0384  0.03
Rosenthal 1931   84  0.3085  0.0085  0.0472  0.0470  0.0383  0.03
Rosenthal 1931b   87  0.2789  0.0086  0.0287  0.0281  0.0389  0.02
Rosenthal 1931c   81  0.3678  0.0084  0.0553  0.0560  0.0479  0.04
Rosenthal 1931d   85  0.3090  0.0087  0.0484  0.0482  0.0287  0.03
Rossi 2007   76  0.4445  0.0036  0.0544  0.0932  0.2027  0.13
Rubinstein 1939   72  0.4817  0.0173  0.0556  0.0525  0.3032  0.12
Rubinstein 1952   74  0.4648  0.0078  0.0647  0.0656  0.0658  0.06
Rubinstein 1966   53  0.5582  0.0070  0.0479  0.0447  0.0663  0.05
Schilhawsky 1960   16  0.6457  0.0015  0.0811  0.3838  0.2510  0.31
Shebanova 2002   12  0.648  0.049  0.089  0.3928  0.268  0.32
Smith 1975   49  0.5684  0.0057  0.0549  0.0564  0.0469  0.04
Sokolov 2002   44  0.5860  0.0054  0.0558  0.0549  0.0559  0.05
Sztompka 1959   19  0.6310  0.0314  0.0820  0.2743  0.1319  0.19
Tomsic 1995   69  0.4965  0.0076  0.0554  0.0557  0.0473  0.04
Uninsky 1932   20  0.633  0.077  0.0714  0.3626  0.396  0.37
Uninsky 1971   45  0.5844  0.0042  0.0540  0.1037  0.1829  0.13
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   28  0.6046  0.0026  0.0525  0.2139  0.1621  0.18
Zak 1951   34  0.6067  0.0027  0.0722  0.2562  0.0537  0.11
Random 1   90  -0.1570  0.0089  0.0189  0.0150  0.0488  0.02
Random 2   89  -0.1383  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   88  -0.0262  0.0088  0.0288  0.0249  0.0586  0.03

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).