Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5870  0.0040  0.0437  0.1282  0.0354  0.06
Anderszewski 2003   49  0.5129  0.0125  0.0627  0.2241  0.1224  0.16
Ashkenazy 1981   38  0.5225  0.0119  0.0521  0.2435  0.1716  0.20
Bacha 2000   67  0.4327  0.0152  0.0459  0.0432  0.2140  0.09
Badura 1965   36  0.5333  0.0123  0.0623  0.2441  0.1517  0.19
Barbosa 1983   60  0.4716  0.0237  0.0536  0.1240  0.2323  0.17
Biret 1990   14  0.6123  0.0115  0.096  0.3830  0.198  0.27
Blet 2003   29  0.5513  0.0220  0.0535  0.1236  0.1627  0.14
Block 1995   63  0.4590  0.0043  0.0444  0.0881  0.0357  0.05
Blumental 1952   76  0.3665  0.0059  0.0373  0.0362  0.0478  0.03
Boshniakovich 1969   20  0.5961  0.0031  0.0629  0.2165  0.0345  0.08
Brailowsky 1960   32  0.5336  0.0041  0.0442  0.1071  0.0451  0.06
Bunin 1987   54  0.4938  0.0072  0.0550  0.0559  0.0464  0.04
Bunin 1987b   53  0.4950  0.0071  0.0464  0.0458  0.0462  0.04
Chiu 1999   68  0.437  0.0416  0.0728  0.2227  0.2511  0.23
Cohen 1997   81  0.2719  0.0153  0.0455  0.0437  0.1546  0.08
Cortot 1951   13  0.623  0.093  0.1011  0.3430  0.276  0.30
Csalog 1996   28  0.5651  0.0026  0.0819  0.2716  0.444  0.34
Czerny 1949   27  0.5666  0.0029  0.0524  0.2453  0.0633  0.12
Czerny 1990   2  0.676  0.045  0.075  0.3945  0.0918  0.19
Duchoud 2007   15  0.6135  0.0121  0.0516  0.3132  0.257  0.28
Ezaki 2006   44  0.5167  0.0070  0.0471  0.0465  0.0458  0.04
Falvay 1989   23  0.5826  0.0132  0.0725  0.2259  0.0441  0.09
Farrell 1958   25  0.5857  0.0042  0.0441  0.1052  0.0453  0.06
Ferenczy 1958   50  0.5145  0.0069  0.0377  0.0342  0.1056  0.05
Fliere 1977   17  0.6056  0.0028  0.0626  0.2257  0.0537  0.10
Fou 1978   72  0.4058  0.0078  0.0466  0.0456  0.0561  0.04
Francois 1956   43  0.5169  0.0060  0.0374  0.0356  0.0568  0.04
Friedman 1923   89  -0.0171  0.0089  0.0288  0.0251  0.0684  0.03
Friedman 1923b   88  0.0079  0.0088  0.0289  0.0254  0.0580  0.03
Friedman 1930   85  0.1640  0.0082  0.0551  0.0574  0.0463  0.04
Garcia 2007   80  0.2862  0.0077  0.0461  0.0444  0.1150  0.07
Garcia 2007b   86  0.1374  0.0083  0.0384  0.0368  0.0383  0.03
Gierzod 1998   41  0.5263  0.0061  0.0467  0.0476  0.0375  0.03
Gornostaeva 1994   33  0.5372  0.0065  0.0376  0.0381  0.0289  0.02
Groot 1988   19  0.5931  0.0139  0.0433  0.1452  0.0547  0.08
Harasiewicz 1955   75  0.3628  0.0151  0.0457  0.0468  0.0382  0.03
Hatto 1993   77  0.3586  0.0047  0.0746  0.0729  0.2134  0.12
Hatto 1997   69  0.4055  0.0046  0.0465  0.0427  0.2339  0.10
Horowitz 1949   5  0.655  0.058  0.074  0.4124  0.293  0.34
Indjic 1988   74  0.3742  0.0038  0.0539  0.1127  0.2622  0.17
Kapell 1951   12  0.6346  0.0024  0.0720  0.2539  0.1913  0.22
Kissin 1993   59  0.4880  0.0074  0.0470  0.0472  0.0373  0.03
Kushner 1989   4  0.6560  0.0013  0.1010  0.3550  0.0529  0.13
Luisada 1991   31  0.549  0.0334  0.0532  0.1434  0.2219  0.18
Lushtak 2004   46  0.514  0.054  0.0815  0.3231  0.1910  0.25
Malcuzynski 1961   22  0.5834  0.0156  0.0454  0.0471  0.0372  0.03
Magaloff 1978   35  0.5352  0.0063  0.0460  0.0479  0.0369  0.03
Magin 1975   52  0.4922  0.0148  0.0452  0.0466  0.0371  0.03
Michalowski 1933   73  0.3953  0.0044  0.0443  0.0941  0.1436  0.11
Milkina 1970   16  0.6044  0.0027  0.0622  0.2447  0.0632  0.12
Mohovich 1999   37  0.5285  0.0050  0.0549  0.0532  0.1644  0.09
Moravec 1969   6  0.6411  0.027  0.0914  0.3237  0.1315  0.20
Morozova 2008   11  0.632  0.102  0.108  0.3547  0.0628  0.14
Neighaus 1950   58  0.4830  0.0158  0.0458  0.0468  0.0381  0.03
Niedzielski 1931   21  0.5810  0.0311  0.0712  0.343  0.531  0.42
Ohlsson 1999   9  0.6318  0.0117  0.079  0.3532  0.189  0.25
Osinska 1989   3  0.678  0.046  0.0913  0.3264  0.0435  0.11
Pachmann 1927   78  0.3241  0.0079  0.0548  0.0538  0.1542  0.09
Paderewski 1930   48  0.5164  0.0068  0.0383  0.0375  0.0285  0.02
Perlemuter 1992   55  0.4854  0.0049  0.0453  0.0449  0.0559  0.04
Pierdomenico 2008   64  0.4448  0.0076  0.0468  0.0456  0.0460  0.04
Poblocka 1999   7  0.6315  0.0214  0.083  0.4131  0.245  0.31
Rabcewiczowa 1932   34  0.5343  0.0055  0.0472  0.0444  0.1052  0.06
Rachmaninoff 1923   26  0.5749  0.009  0.0717  0.3141  0.1020  0.18
Rangell 2001   62  0.4659  0.0075  0.0375  0.0352  0.0565  0.04
Richter 1976   10  0.6312  0.0210  0.092  0.4312  0.392  0.41
Rosen 1989   65  0.4481  0.0080  0.0456  0.0486  0.0277  0.03
Rosenthal 1930   66  0.4387  0.0062  0.0378  0.0377  0.0376  0.03
Rosenthal 1931   83  0.2482  0.0084  0.0286  0.0285  0.0286  0.02
Rosenthal 1931b   84  0.2088  0.0086  0.0380  0.0389  0.0191  0.02
Rosenthal 1931c   70  0.4076  0.0081  0.0547  0.0576  0.0366  0.04
Rosenthal 1931d   82  0.2789  0.0085  0.0287  0.0272  0.0390  0.02
Rossi 2007   79  0.2917  0.0230  0.0534  0.1338  0.1131  0.12
Rubinstein 1939   71  0.4014  0.0233  0.0638  0.1225  0.3614  0.21
Rubinstein 1952   51  0.5073  0.0066  0.0379  0.0362  0.0567  0.04
Rubinstein 1966   40  0.5268  0.0067  0.0385  0.0337  0.1748  0.07
Schilhawsky 1960   18  0.6032  0.0112  0.077  0.3740  0.1412  0.23
Shebanova 2002   30  0.5420  0.0145  0.0445  0.0844  0.1143  0.09
Smith 1975   57  0.4883  0.0064  0.0462  0.0470  0.0370  0.03
Sokolov 2002   8  0.6339  0.0022  0.0718  0.2846  0.0726  0.14
Sztompka 1959   42  0.5221  0.0157  0.0463  0.0449  0.0655  0.05
Tomsic 1995   39  0.5224  0.0118  0.0630  0.1833  0.1821  0.18
Uninsky 1932   56  0.4837  0.0054  0.0469  0.0445  0.1149  0.07
Uninsky 1971   61  0.4677  0.0073  0.0382  0.0366  0.0474  0.03
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   45  0.5184  0.0036  0.0540  0.1145  0.1038  0.10
Zak 1951   47  0.5178  0.0035  0.0531  0.1441  0.1625  0.15
Average   1  0.691  0.141  0.141  0.4549  0.0430  0.13
Random 1   91  -0.1391  0.0091  0.0191  0.0173  0.0388  0.02
Random 2   90  -0.0675  0.0090  0.0290  0.0257  0.0387  0.02
Random 3   87  0.0747  0.0087  0.0381  0.0367  0.0479  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).