Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6579  0.0026  0.0628  0.2078  0.0348  0.08
Anderszewski 2003   26  0.6168  0.0022  0.0720  0.2826  0.2215  0.25
Ashkenazy 1981   36  0.5938  0.0021  0.0924  0.2441  0.1817  0.21
Bacha 2000   65  0.5182  0.0054  0.0647  0.0637  0.1742  0.10
Badura 1965   41  0.5822  0.0135  0.0535  0.1338  0.1827  0.15
Barbosa 1983   61  0.5411  0.0240  0.0444  0.0918  0.3223  0.17
Biret 1990   10  0.6543  0.007  0.078  0.4032  0.259  0.32
Blet 2003   31  0.6024  0.0149  0.0471  0.0449  0.0662  0.05
Block 1995   51  0.5631  0.0038  0.0638  0.1231  0.2424  0.17
Blumental 1952   68  0.5049  0.0073  0.0564  0.0576  0.0286  0.03
Boshniakovich 1969   16  0.6456  0.0034  0.0631  0.1738  0.1725  0.17
Brailowsky 1960   48  0.5732  0.0066  0.0646  0.0647  0.0657  0.06
Bunin 1987   69  0.5065  0.0070  0.0470  0.0450  0.0664  0.05
Bunin 1987b   72  0.4957  0.0069  0.0478  0.0445  0.1153  0.07
Chiu 1999   55  0.558  0.039  0.0725  0.2322  0.3311  0.28
Cohen 1997   87  0.3053  0.0084  0.0468  0.0467  0.0478  0.04
Cortot 1951   7  0.673  0.103  0.1516  0.3513  0.464  0.40
Csalog 1996   64  0.5129  0.0047  0.0475  0.0420  0.3635  0.12
Czerny 1949   23  0.6236  0.0025  0.0622  0.2646  0.0731  0.13
Czerny 1990   3  0.6923  0.0113  0.076  0.4159  0.0432  0.13
Duchoud 2007   49  0.5751  0.0060  0.0479  0.0444  0.1058  0.06
Ezaki 2006   25  0.6264  0.0056  0.0566  0.0570  0.0468  0.04
Falvay 1989   63  0.5247  0.0078  0.0476  0.0463  0.0569  0.04
Farrell 1958   33  0.6026  0.0052  0.0563  0.0570  0.0473  0.04
Ferenczy 1958   34  0.6040  0.0031  0.0534  0.1321  0.3019  0.20
Fliere 1977   6  0.679  0.0217  0.087  0.4045  0.1116  0.21
Fou 1978   60  0.5452  0.0065  0.0556  0.0559  0.0561  0.05
Francois 1956   56  0.5533  0.0068  0.0467  0.0454  0.0581  0.04
Friedman 1923   83  0.3569  0.0082  0.0482  0.0452  0.0667  0.05
Friedman 1923b   84  0.3570  0.0081  0.0387  0.0350  0.0679  0.04
Friedman 1930   79  0.4471  0.0075  0.0477  0.0466  0.0576  0.04
Garcia 2007   67  0.5189  0.0053  0.0562  0.0532  0.2736  0.12
Garcia 2007b   78  0.4413  0.0250  0.0474  0.0429  0.1852  0.08
Gierzod 1998   22  0.6278  0.0033  0.0527  0.2047  0.0641  0.11
Gornostaeva 1994   32  0.6016  0.0159  0.0649  0.0644  0.1051  0.08
Groot 1988   30  0.6028  0.0039  0.0443  0.0941  0.1143  0.10
Harasiewicz 1955   57  0.5518  0.0142  0.0537  0.1256  0.0456  0.07
Hatto 1993   66  0.5167  0.0046  0.0553  0.0542  0.1055  0.07
Hatto 1997   58  0.5425  0.0045  0.0542  0.0937  0.1340  0.11
Horowitz 1949   4  0.686  0.036  0.084  0.4412  0.541  0.49
Indjic 1988   62  0.5358  0.0044  0.0439  0.1232  0.1826  0.15
Kapell 1951   5  0.675  0.035  0.142  0.5126  0.295  0.38
Kissin 1993   38  0.5939  0.0061  0.0565  0.0562  0.0475  0.04
Kushner 1989   8  0.6644  0.0019  0.0917  0.3449  0.0529  0.13
Luisada 1991   12  0.6515  0.0118  0.089  0.3932  0.327  0.35
Lushtak 2004   52  0.5677  0.0041  0.0440  0.1149  0.0649  0.08
Malcuzynski 1961   43  0.5872  0.0036  0.0432  0.1676  0.0354  0.07
Magaloff 1978   59  0.5448  0.0072  0.0552  0.0557  0.0560  0.05
Magin 1975   44  0.5834  0.0048  0.0469  0.0457  0.0572  0.04
Michalowski 1933   71  0.4959  0.0062  0.0560  0.0544  0.1546  0.09
Milkina 1970   15  0.6441  0.0023  0.0818  0.3166  0.0534  0.12
Mohovich 1999   28  0.6175  0.0030  0.0536  0.1351  0.0550  0.08
Moravec 1969   37  0.5927  0.0029  0.0533  0.1538  0.2221  0.18
Morozova 2008   9  0.6620  0.0114  0.0814  0.3641  0.1118  0.20
Neighaus 1950   39  0.5935  0.0020  0.0729  0.1858  0.0547  0.09
Niedzielski 1931   14  0.644  0.044  0.125  0.446  0.502  0.47
Ohlsson 1999   18  0.6430  0.0012  0.0813  0.3834  0.2012  0.28
Osinska 1989   2  0.732  0.122  0.213  0.4823  0.353  0.41
Pachmann 1927   81  0.3980  0.0083  0.0386  0.0367  0.0483  0.03
Paderewski 1930   53  0.5588  0.0067  0.0481  0.0479  0.0382  0.03
Perlemuter 1992   24  0.6273  0.0032  0.0530  0.1751  0.0544  0.09
Pierdomenico 2008   76  0.4662  0.0076  0.0484  0.0464  0.0471  0.04
Poblocka 1999   19  0.6317  0.0111  0.0711  0.3936  0.1614  0.25
Rabcewiczowa 1932   42  0.5887  0.0057  0.0558  0.0537  0.1645  0.09
Rachmaninoff 1923   27  0.6119  0.0124  0.0919  0.2957  0.0437  0.11
Rangell 2001   74  0.4721  0.0164  0.0561  0.0548  0.0565  0.05
Richter 1976   40  0.5837  0.0051  0.0472  0.0421  0.3139  0.11
Rosen 1989   47  0.5854  0.0063  0.0551  0.0563  0.0477  0.04
Rosenthal 1930   80  0.4274  0.0080  0.0483  0.0474  0.0385  0.03
Rosenthal 1931   85  0.3086  0.0086  0.0473  0.0471  0.0384  0.03
Rosenthal 1931b   88  0.2791  0.0087  0.0288  0.0282  0.0390  0.02
Rosenthal 1931c   82  0.3676  0.0085  0.0554  0.0561  0.0480  0.04
Rosenthal 1931d   86  0.3090  0.0088  0.0485  0.0483  0.0288  0.03
Rossi 2007   77  0.4442  0.0037  0.0545  0.0933  0.2028  0.13
Rubinstein 1939   73  0.4814  0.0174  0.0557  0.0526  0.3033  0.12
Rubinstein 1952   75  0.4646  0.0079  0.0648  0.0657  0.0566  0.05
Rubinstein 1966   54  0.5583  0.0071  0.0480  0.0448  0.0663  0.05
Schilhawsky 1960   17  0.6455  0.0016  0.0812  0.3839  0.2510  0.31
Shebanova 2002   13  0.6410  0.0210  0.0810  0.3929  0.268  0.32
Smith 1975   50  0.5685  0.0058  0.0550  0.0565  0.0470  0.04
Sokolov 2002   45  0.5860  0.0055  0.0559  0.0550  0.0559  0.05
Sztompka 1959   20  0.6312  0.0215  0.0821  0.2744  0.1320  0.19
Tomsic 1995   70  0.4963  0.0077  0.0555  0.0558  0.0474  0.04
Uninsky 1932   21  0.637  0.038  0.0715  0.3627  0.396  0.37
Uninsky 1971   46  0.5850  0.0043  0.0541  0.1038  0.1830  0.13
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   29  0.6045  0.0027  0.0526  0.2140  0.1622  0.18
Zak 1951   35  0.6081  0.0028  0.0723  0.2563  0.0538  0.11
Average   1  0.761  0.371  0.361  0.6743  0.1013  0.26
Random 1   91  -0.1566  0.0090  0.0190  0.0150  0.0489  0.02
Random 2   90  -0.1384  0.0091  0.0191  0.0184  0.0291  0.01
Random 3   89  -0.0261  0.0089  0.0289  0.0251  0.0587  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).