Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.3866  0.0056  0.0572  0.0522  0.4045  0.14
Anderszewski 2003   21  0.5014  0.0122  0.0920  0.4832  0.3622  0.42
Ashkenazy 1981   84  0.2485  0.0084  0.0383  0.0364  0.0385  0.03
Bacha 2000   83  0.2582  0.0081  0.0577  0.0554  0.0478  0.04
Badura 1965   63  0.3783  0.0065  0.0652  0.0653  0.0664  0.06
Barbosa 1983   5  0.5710  0.012  0.152  0.6816  0.601  0.64
Biret 1990   31  0.4716  0.0114  0.0913  0.5331  0.3620  0.44
Blet 2003   56  0.3939  0.0061  0.0749  0.0743  0.1356  0.10
Block 1995   49  0.4368  0.0032  0.0733  0.3420  0.4625  0.40
Blumental 1952   18  0.5232  0.0015  0.119  0.5518  0.573  0.56
Boshniakovich 1969   20  0.5048  0.0010  0.1412  0.5420  0.3818  0.45
Brailowsky 1960   34  0.4712  0.0137  0.0938  0.2329  0.4231  0.31
Bunin 1987   59  0.3837  0.0070  0.0571  0.0558  0.0576  0.05
Bunin 1987b   62  0.3842  0.0069  0.0480  0.0451  0.0672  0.05
Chiu 1999   58  0.3915  0.0153  0.0656  0.0626  0.2948  0.13
Cohen 1997   60  0.3819  0.0058  0.0576  0.0520  0.2754  0.12
Cortot 1951   72  0.3224  0.0067  0.0658  0.0635  0.2655  0.12
Csalog 1996   65  0.3650  0.0060  0.0659  0.0653  0.0573  0.05
Czerny 1949   25  0.4973  0.0025  0.0826  0.4138  0.3427  0.37
Czerny 1990   7  0.556  0.0311  0.1514  0.5335  0.4612  0.49
Duchoud 2007   87  0.1834  0.0085  0.0385  0.0374  0.0384  0.03
Ezaki 2006   36  0.4753  0.0043  0.0843  0.1669  0.0558  0.09
Falvay 1989   9  0.5518  0.0118  0.138  0.5635  0.3816  0.46
Farrell 1958   68  0.3467  0.0074  0.0575  0.0554  0.0570  0.05
Ferenczy 1958   51  0.4269  0.0057  0.0657  0.0629  0.3943  0.15
Fliere 1977   22  0.5038  0.0021  0.0721  0.4751  0.0639  0.17
Fou 1978   35  0.4770  0.0039  0.0935  0.2955  0.0552  0.12
Francois 1956   76  0.3084  0.0078  0.0563  0.0565  0.0483  0.04
Friedman 1923   70  0.3347  0.0066  0.0750  0.0732  0.2847  0.14
Friedman 1923b   67  0.3455  0.0062  0.0564  0.0527  0.3746  0.14
Friedman 1930   53  0.415  0.0335  0.1031  0.3510  0.5321  0.43
Garcia 2007   64  0.3789  0.0059  0.0565  0.0528  0.3650  0.13
Garcia 2007b   42  0.4427  0.0040  0.0740  0.1833  0.3135  0.24
Gierzod 1998   2  0.5931  0.004  0.186  0.5920  0.488  0.53
Gornostaeva 1994   13  0.5429  0.0016  0.1018  0.4913  0.559  0.52
Groot 1988   55  0.4180  0.0033  0.0736  0.2834  0.1836  0.22
Harasiewicz 1955   3  0.582  0.056  0.125  0.6126  0.524  0.56
Hatto 1993   27  0.4956  0.0029  0.0730  0.3643  0.1734  0.25
Hatto 1997   17  0.5235  0.0013  0.1117  0.5022  0.4515  0.47
Horowitz 1949   73  0.3259  0.0077  0.0478  0.0443  0.1460  0.07
Indjic 1988   23  0.5051  0.0024  0.1124  0.4237  0.2530  0.32
Kapell 1951   14  0.544  0.0412  0.1319  0.4931  0.4117  0.45
Kissin 1993   15  0.5213  0.018  0.1115  0.5316  0.557  0.54
Kushner 1989   8  0.5533  0.009  0.117  0.5836  0.3319  0.44
Luisada 1991   12  0.5411  0.0119  0.1910  0.556  0.622  0.58
Lushtak 2004   19  0.518  0.0220  0.1123  0.4431  0.3624  0.40
Malcuzynski 1961   26  0.4925  0.0030  0.0729  0.3748  0.0840  0.17
Magaloff 1978   33  0.4717  0.0134  0.0737  0.2733  0.3232  0.29
Magin 1975   38  0.4620  0.0041  0.0839  0.2144  0.1241  0.16
Michalowski 1933   88  0.1471  0.0088  0.0287  0.0271  0.0387  0.02
Milkina 1970   6  0.569  0.013  0.143  0.6530  0.3911  0.50
Mohovich 1999   39  0.4628  0.0042  0.0742  0.1747  0.0657  0.10
Moravec 1969   32  0.4772  0.0049  0.0747  0.0758  0.0661  0.06
Morozova 2008   48  0.4360  0.0048  0.0653  0.0650  0.0763  0.06
Neighaus 1950   57  0.3957  0.0063  0.0567  0.0528  0.3251  0.13
Niedzielski 1931   75  0.3054  0.0073  0.0573  0.0551  0.0669  0.05
Ohlsson 1999   43  0.4440  0.0046  0.0566  0.0533  0.3249  0.13
Osinska 1989   4  0.5821  0.007  0.104  0.6430  0.456  0.54
Pachmann 1927   80  0.2886  0.0079  0.0384  0.0348  0.0680  0.04
Paderewski 1930   82  0.2752  0.0064  0.0561  0.0512  0.4442  0.15
Perlemuter 1992   41  0.4536  0.0038  0.0741  0.184  0.5729  0.32
Pierdomenico 2008   74  0.3177  0.0075  0.0655  0.0648  0.0567  0.05
Poblocka 1999   11  0.5422  0.0017  0.1016  0.5123  0.4613  0.48
Rabcewiczowa 1932   45  0.4426  0.0026  0.0728  0.3837  0.1733  0.25
Rachmaninoff 1923   69  0.3363  0.0068  0.0570  0.0558  0.0566  0.05
Rangell 2001   24  0.4964  0.0027  0.0632  0.3418  0.4923  0.41
Richter 1976   46  0.4474  0.0045  0.0545  0.1029  0.3738  0.19
Rosen 1989   44  0.4423  0.0036  0.1034  0.3226  0.3428  0.33
Rosenthal 1930   77  0.3075  0.0082  0.0482  0.0470  0.0482  0.04
Rosenthal 1931   81  0.2858  0.0083  0.0481  0.0457  0.0581  0.04
Rosenthal 1931b   86  0.2090  0.0087  0.0386  0.0385  0.0290  0.02
Rosenthal 1931c   78  0.2981  0.0080  0.0479  0.0478  0.0386  0.03
Rosenthal 1931d   85  0.2145  0.0086  0.0289  0.0282  0.0389  0.02
Rossi 2007   79  0.2987  0.0076  0.0660  0.0651  0.0565  0.05
Rubinstein 1939   50  0.4361  0.0052  0.0651  0.0664  0.0468  0.05
Rubinstein 1952   30  0.4888  0.0047  0.0654  0.0658  0.0577  0.05
Rubinstein 1966   16  0.5243  0.0023  0.0925  0.4246  0.1037  0.20
Schilhawsky 1960   47  0.4446  0.0055  0.0568  0.0551  0.0574  0.05
Shebanova 2002   40  0.4530  0.0044  0.0644  0.1239  0.1944  0.15
Smith 1975   28  0.4865  0.0031  0.0922  0.4414  0.5214  0.48
Sokolov 2002   66  0.3662  0.0072  0.0562  0.0560  0.0479  0.04
Sztompka 1959   10  0.553  0.045  0.1711  0.5418  0.575  0.55
Tomsic 1995   37  0.467  0.0250  0.0746  0.0735  0.2253  0.12
Uninsky 1932   71  0.3378  0.0071  0.0569  0.0556  0.0575  0.05
Uninsky 1971   29  0.4849  0.0028  0.0727  0.4032  0.3626  0.38
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   54  0.4191  0.0054  0.0574  0.0552  0.0571  0.05
Zak 1951   52  0.4276  0.0051  0.0748  0.0758  0.0562  0.06
Average   1  0.681  0.601  0.601  0.8235  0.3210  0.51
Random 1   90  -0.0679  0.0090  0.0290  0.0268  0.0288  0.02
Random 2   91  -0.0744  0.0091  0.0191  0.0190  0.0191  0.01
Random 3   89  -0.0341  0.0089  0.0288  0.0210  0.4259  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).