Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.3190  0.0070  0.0483  0.0438  0.1863  0.08
Anderszewski 2003   69  0.3189  0.0072  0.0652  0.0660  0.0572  0.05
Ashkenazy 1981   55  0.3776  0.0066  0.0556  0.0564  0.0676  0.05
Bacha 2000   84  0.1678  0.0085  0.0570  0.0586  0.0283  0.03
Badura 1965   76  0.3039  0.0069  0.0384  0.0334  0.1764  0.07
Barbosa 1983   26  0.4534  0.009  0.1117  0.5313  0.5317  0.53
Biret 1990   15  0.482  0.042  0.236  0.624  0.752  0.68
Blet 2003   25  0.4517  0.0023  0.0929  0.396  0.5925  0.48
Block 1995   54  0.3758  0.0044  0.0545  0.0954  0.0665  0.07
Blumental 1952   66  0.3437  0.0059  0.0563  0.0553  0.0675  0.05
Boshniakovich 1969   41  0.4048  0.0030  0.0930  0.3836  0.2533  0.31
Brailowsky 1960   79  0.2680  0.0079  0.0478  0.0476  0.0478  0.04
Bunin 1987   40  0.4049  0.0047  0.0477  0.0423  0.4149  0.13
Bunin 1987b   43  0.4044  0.0045  0.0543  0.1019  0.4441  0.21
Chiu 1999   20  0.4615  0.0018  0.1014  0.554  0.659  0.60
Cohen 1997   64  0.349  0.0154  0.0479  0.0439  0.2459  0.10
Cortot 1951   77  0.2718  0.0068  0.0557  0.0538  0.1960  0.10
Csalog 1996   28  0.4429  0.0026  0.0823  0.495  0.5818  0.53
Czerny 1949   59  0.3681  0.0062  0.0654  0.0633  0.4444  0.16
Czerny 1990   4  0.5312  0.007  0.118  0.6121  0.648  0.62
Duchoud 2007   51  0.3816  0.0042  0.0542  0.1114  0.4838  0.23
Ezaki 2006   75  0.3074  0.0076  0.0566  0.0565  0.0569  0.05
Falvay 1989   29  0.4451  0.0027  0.0922  0.4921  0.3928  0.44
Farrell 1958   46  0.3956  0.0040  0.0540  0.1317  0.4437  0.24
Ferenczy 1958   85  0.1585  0.0084  0.0385  0.0374  0.0484  0.03
Fliere 1977   6  0.5055  0.0015  0.117  0.6228  0.3922  0.49
Fou 1978   48  0.3846  0.0046  0.0561  0.0566  0.0480  0.04
Francois 1956   73  0.3087  0.0078  0.0648  0.0651  0.0577  0.05
Friedman 1923   32  0.4221  0.0025  0.0827  0.416  0.7016  0.54
Friedman 1923b   30  0.4411  0.0022  0.1024  0.485  0.7211  0.59
Friedman 1930   11  0.496  0.015  0.192  0.684  0.781  0.73
Garcia 2007   74  0.3075  0.0073  0.0569  0.0562  0.0574  0.05
Garcia 2007b   33  0.4243  0.0043  0.0544  0.1020  0.4940  0.22
Gierzod 1998   81  0.2473  0.0074  0.0564  0.0556  0.0673  0.05
Gornostaeva 1994   39  0.4036  0.0038  0.0536  0.2130  0.3735  0.28
Groot 1988   14  0.4860  0.0019  0.1011  0.5611  0.5415  0.55
Harasiewicz 1955   12  0.4828  0.0020  0.1118  0.5235  0.3031  0.39
Hatto 1993   13  0.4870  0.0013  0.1520  0.5019  0.4823  0.49
Hatto 1997   18  0.4714  0.0016  0.0915  0.5316  0.5220  0.52
Horowitz 1949   31  0.4230  0.0037  0.0639  0.1613  0.5734  0.30
Indjic 1988   10  0.4923  0.0010  0.1513  0.5517  0.5614  0.55
Kapell 1951   3  0.533  0.034  0.195  0.637  0.5610  0.59
Kissin 1993   17  0.4738  0.0011  0.1321  0.5014  0.6513  0.57
Kushner 1989   27  0.4464  0.0034  0.1131  0.3871  0.0451  0.12
Luisada 1991   5  0.527  0.016  0.204  0.655  0.703  0.67
Lushtak 2004   62  0.3547  0.0063  0.0649  0.0644  0.0767  0.06
Malcuzynski 1961   45  0.4061  0.0055  0.0481  0.0460  0.0581  0.04
Magaloff 1978   35  0.4150  0.0036  0.0637  0.2037  0.1942  0.19
Magin 1975   21  0.4610  0.0132  0.1232  0.3718  0.5129  0.43
Michalowski 1933   68  0.3166  0.0077  0.0650  0.0636  0.2255  0.11
Milkina 1970   38  0.4141  0.0029  0.0925  0.4624  0.4926  0.47
Mohovich 1999   80  0.2572  0.0081  0.0647  0.0687  0.0285  0.03
Moravec 1969   19  0.4626  0.0033  0.1428  0.4113  0.4727  0.44
Morozova 2008   57  0.3752  0.0041  0.0441  0.1246  0.0662  0.08
Neighaus 1950   24  0.4522  0.0024  0.0833  0.3610  0.5130  0.43
Niedzielski 1931   58  0.3619  0.0061  0.0573  0.0533  0.2554  0.11
Ohlsson 1999   8  0.5020  0.008  0.103  0.662  0.694  0.67
Osinska 1989   16  0.488  0.0114  0.1212  0.5615  0.5912  0.57
Pachmann 1927   65  0.3459  0.0067  0.0480  0.0430  0.3553  0.12
Paderewski 1930   70  0.3125  0.0053  0.0651  0.0627  0.4343  0.16
Perlemuter 1992   52  0.3869  0.0064  0.0555  0.0531  0.2850  0.12
Pierdomenico 2008   47  0.3931  0.0050  0.0572  0.0518  0.4845  0.15
Poblocka 1999   23  0.4554  0.0031  0.1126  0.4620  0.5124  0.48
Rabcewiczowa 1932   72  0.3177  0.0071  0.0475  0.0457  0.0670  0.05
Rachmaninoff 1923   34  0.4132  0.0028  0.0935  0.3125  0.3832  0.34
Rangell 2001   42  0.4053  0.0048  0.0568  0.0525  0.4746  0.15
Richter 1976   9  0.4933  0.0017  0.1210  0.5913  0.657  0.62
Rosen 1989   36  0.4113  0.0035  0.1134  0.3631  0.2136  0.27
Rosenthal 1930   78  0.2682  0.0082  0.0565  0.0565  0.0482  0.04
Rosenthal 1931   87  0.0986  0.0087  0.0288  0.0289  0.0287  0.02
Rosenthal 1931b   88  0.0791  0.0088  0.0287  0.0289  0.0290  0.02
Rosenthal 1931c   83  0.2083  0.0083  0.0482  0.0481  0.0386  0.03
Rosenthal 1931d   86  0.1188  0.0086  0.0386  0.0387  0.0289  0.02
Rossi 2007   82  0.2165  0.0080  0.0559  0.0540  0.2056  0.10
Rubinstein 1939   53  0.3757  0.0039  0.0738  0.1828  0.2639  0.22
Rubinstein 1952   37  0.4163  0.0051  0.0560  0.0552  0.0768  0.06
Rubinstein 1966   49  0.3840  0.0058  0.0562  0.0556  0.0766  0.06
Schilhawsky 1960   63  0.3542  0.0065  0.0746  0.0729  0.3048  0.14
Shebanova 2002   7  0.505  0.0112  0.1316  0.5321  0.5021  0.51
Smith 1975   50  0.3827  0.0057  0.0567  0.0529  0.3747  0.14
Sokolov 2002   67  0.3335  0.0075  0.0476  0.0457  0.0579  0.04
Sztompka 1959   2  0.534  0.023  0.209  0.608  0.675  0.63
Tomsic 1995   44  0.4045  0.0049  0.0653  0.0629  0.2652  0.12
Uninsky 1932   22  0.4524  0.0021  0.0919  0.5114  0.5619  0.53
Uninsky 1971   60  0.3662  0.0052  0.0574  0.0554  0.0671  0.05
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   56  0.3771  0.0056  0.0571  0.0534  0.2157  0.10
Zak 1951   61  0.3567  0.0060  0.0558  0.0540  0.1561  0.09
Average   1  0.661  0.761  0.751  0.8922  0.446  0.63
Random 1   90  -0.0479  0.0090  0.0290  0.0271  0.0288  0.02
Random 2   91  -0.0468  0.0091  0.0191  0.0189  0.0291  0.01
Random 3   89  0.0084  0.0089  0.0289  0.029  0.4758  0.10

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).