Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.5871  0.0039  0.0436  0.1281  0.0353  0.06
Anderszewski 2003   48  0.5128  0.0124  0.0626  0.2240  0.1224  0.16
Ashkenazy 1981   37  0.5221  0.0118  0.0520  0.2434  0.1716  0.20
Bacha 2000   66  0.4327  0.0151  0.0458  0.0431  0.2139  0.09
Badura 1965   35  0.5332  0.0122  0.0622  0.2440  0.1517  0.19
Barbosa 1983   59  0.4717  0.0236  0.0535  0.1239  0.2323  0.17
Biret 1990   13  0.6124  0.0114  0.095  0.3829  0.198  0.27
Blet 2003   28  0.5510  0.0319  0.0534  0.1235  0.1627  0.14
Block 1995   62  0.4589  0.0042  0.0443  0.0880  0.0356  0.05
Blumental 1952   75  0.3665  0.0058  0.0472  0.0461  0.0463  0.04
Boshniakovich 1969   19  0.5960  0.0030  0.0628  0.2164  0.0443  0.09
Brailowsky 1960   31  0.5335  0.0040  0.0441  0.1070  0.0450  0.06
Bunin 1987   53  0.4936  0.0071  0.0549  0.0558  0.0464  0.04
Bunin 1987b   52  0.4949  0.0070  0.0463  0.0457  0.0461  0.04
Chiu 1999   67  0.436  0.0515  0.0727  0.2226  0.2511  0.23
Cohen 1997   80  0.2719  0.0152  0.0454  0.0436  0.1545  0.08
Cortot 1951   12  0.622  0.102  0.1010  0.3429  0.276  0.30
Csalog 1996   27  0.5650  0.0025  0.0818  0.2716  0.444  0.34
Czerny 1949   26  0.5666  0.0028  0.0523  0.2452  0.0632  0.12
Czerny 1990   1  0.674  0.074  0.074  0.3944  0.0918  0.19
Duchoud 2007   14  0.6133  0.0120  0.0515  0.3131  0.257  0.28
Ezaki 2006   43  0.5163  0.0069  0.0470  0.0464  0.0457  0.04
Falvay 1989   22  0.5825  0.0131  0.0724  0.2258  0.0440  0.09
Farrell 1958   24  0.5856  0.0041  0.0440  0.1051  0.0452  0.06
Ferenczy 1958   49  0.5144  0.0068  0.0376  0.0341  0.1055  0.05
Fliere 1977   16  0.6055  0.0027  0.0625  0.2256  0.0536  0.10
Fou 1978   71  0.4057  0.0077  0.0465  0.0455  0.0560  0.04
Francois 1956   42  0.5168  0.0059  0.0473  0.0455  0.0568  0.04
Friedman 1923   88  -0.0172  0.0088  0.0287  0.0250  0.0683  0.03
Friedman 1923b   87  0.0078  0.0087  0.0288  0.0253  0.0679  0.03
Friedman 1930   84  0.1639  0.0081  0.0550  0.0573  0.0462  0.04
Garcia 2007   79  0.2861  0.0076  0.0460  0.0443  0.1149  0.07
Garcia 2007b   85  0.1373  0.0082  0.0383  0.0367  0.0382  0.03
Gierzod 1998   40  0.5262  0.0060  0.0466  0.0475  0.0375  0.03
Gornostaeva 1994   32  0.5369  0.0064  0.0375  0.0380  0.0288  0.02
Groot 1988   18  0.5930  0.0138  0.0432  0.1451  0.0546  0.08
Harasiewicz 1955   74  0.3626  0.0150  0.0456  0.0468  0.0381  0.03
Hatto 1993   76  0.3585  0.0046  0.0745  0.0728  0.2133  0.12
Hatto 1997   68  0.4054  0.0045  0.0464  0.0426  0.2338  0.10
Horowitz 1949   4  0.655  0.057  0.083  0.4123  0.293  0.34
Indjic 1988   73  0.3741  0.0037  0.0538  0.1126  0.2622  0.17
Kapell 1951   11  0.6345  0.0023  0.0719  0.2538  0.1913  0.22
Kissin 1993   58  0.4880  0.0073  0.0469  0.0471  0.0373  0.03
Kushner 1989   3  0.6559  0.0012  0.109  0.3549  0.0529  0.13
Luisada 1991   30  0.549  0.0333  0.0531  0.1433  0.2219  0.18
Lushtak 2004   45  0.513  0.093  0.0814  0.3230  0.1910  0.25
Malcuzynski 1961   21  0.5834  0.0155  0.0453  0.0470  0.0372  0.03
Magaloff 1978   34  0.5351  0.0062  0.0459  0.0478  0.0369  0.03
Magin 1975   51  0.4923  0.0147  0.0451  0.0465  0.0371  0.03
Michalowski 1933   72  0.3952  0.0043  0.0442  0.0940  0.1435  0.11
Milkina 1970   15  0.6043  0.0026  0.0621  0.2446  0.0631  0.12
Mohovich 1999   36  0.5284  0.0049  0.0548  0.0531  0.1644  0.09
Moravec 1969   5  0.6414  0.026  0.0913  0.3236  0.1315  0.20
Morozova 2008   10  0.631  0.101  0.107  0.3546  0.0628  0.14
Neighaus 1950   57  0.4829  0.0157  0.0457  0.0467  0.0380  0.03
Niedzielski 1931   20  0.5811  0.0310  0.0711  0.343  0.531  0.42
Ohlsson 1999   8  0.6313  0.0316  0.078  0.3531  0.189  0.25
Osinska 1989   2  0.678  0.045  0.0912  0.3263  0.0434  0.11
Pachmann 1927   77  0.3240  0.0078  0.0547  0.0537  0.1541  0.09
Paderewski 1930   47  0.5164  0.0067  0.0382  0.0374  0.0284  0.02
Perlemuter 1992   54  0.4853  0.0048  0.0452  0.0448  0.0558  0.04
Pierdomenico 2008   63  0.4447  0.0075  0.0467  0.0455  0.0459  0.04
Poblocka 1999   6  0.637  0.0413  0.082  0.4130  0.245  0.31
Rabcewiczowa 1932   33  0.5342  0.0054  0.0471  0.0443  0.1051  0.06
Rachmaninoff 1923   25  0.5748  0.008  0.0816  0.3140  0.1020  0.18
Rangell 2001   61  0.4658  0.0074  0.0374  0.0351  0.0565  0.04
Richter 1976   9  0.6315  0.029  0.091  0.4311  0.392  0.41
Rosen 1989   64  0.4481  0.0079  0.0455  0.0485  0.0277  0.03
Rosenthal 1930   65  0.4386  0.0061  0.0377  0.0376  0.0376  0.03
Rosenthal 1931   82  0.2482  0.0083  0.0285  0.0284  0.0285  0.02
Rosenthal 1931b   83  0.2087  0.0085  0.0379  0.0388  0.0190  0.02
Rosenthal 1931c   69  0.4075  0.0080  0.0646  0.0675  0.0366  0.04
Rosenthal 1931d   81  0.2788  0.0084  0.0286  0.0271  0.0389  0.02
Rossi 2007   78  0.2918  0.0229  0.0533  0.1337  0.1130  0.12
Rubinstein 1939   70  0.4016  0.0232  0.0737  0.1225  0.3614  0.21
Rubinstein 1952   50  0.5070  0.0065  0.0378  0.0361  0.0567  0.04
Rubinstein 1966   39  0.5267  0.0066  0.0384  0.0336  0.1747  0.07
Schilhawsky 1960   17  0.6031  0.0111  0.076  0.3739  0.1412  0.23
Shebanova 2002   29  0.5420  0.0144  0.0444  0.0843  0.1142  0.09
Smith 1975   56  0.4879  0.0063  0.0461  0.0469  0.0370  0.03
Sokolov 2002   7  0.6338  0.0021  0.0717  0.2845  0.0726  0.14
Sztompka 1959   41  0.5222  0.0156  0.0462  0.0448  0.0654  0.05
Tomsic 1995   38  0.5212  0.0317  0.0629  0.1832  0.1821  0.18
Uninsky 1932   55  0.4837  0.0053  0.0468  0.0444  0.1148  0.07
Uninsky 1971   60  0.4676  0.0072  0.0381  0.0365  0.0474  0.03
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   44  0.5183  0.0035  0.0539  0.1144  0.1037  0.10
Zak 1951   46  0.5177  0.0034  0.0530  0.1440  0.1625  0.15
Random 1   90  -0.1390  0.0090  0.0190  0.0167  0.0387  0.02
Random 2   89  -0.0674  0.0089  0.0289  0.0260  0.0386  0.02
Random 3   86  0.0746  0.0086  0.0380  0.0366  0.0478  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).