Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7273  0.0033  0.0525  0.2048  0.0642  0.11
Anderszewski 2003   14  0.7221  0.0121  0.0715  0.3212  0.3314  0.32
Ashkenazy 1981   47  0.6654  0.0047  0.0653  0.0653  0.0472  0.05
Bacha 2000   64  0.5983  0.0059  0.0561  0.0538  0.1152  0.07
Badura 1965   52  0.6442  0.0064  0.0559  0.0550  0.0669  0.05
Barbosa 1983   61  0.6011  0.0228  0.0534  0.1510  0.4125  0.25
Biret 1990   33  0.6959  0.0024  0.0623  0.2229  0.2130  0.21
Blet 2003   48  0.6639  0.0055  0.0650  0.0639  0.1646  0.10
Block 1995   44  0.6718  0.0123  0.0622  0.229  0.4117  0.30
Blumental 1952   55  0.6313  0.0244  0.0543  0.0960  0.0462  0.06
Boshniakovich 1969   31  0.6925  0.0036  0.0542  0.1037  0.2137  0.14
Brailowsky 1960   58  0.6172  0.0061  0.0657  0.0628  0.2540  0.12
Bunin 1987   74  0.5176  0.0073  0.0479  0.0439  0.2250  0.09
Bunin 1987b   75  0.4966  0.0072  0.0480  0.0439  0.2249  0.09
Chiu 1999   41  0.679  0.0310  0.0917  0.317  0.4310  0.37
Cohen 1997   87  0.3382  0.0088  0.0382  0.0378  0.0386  0.03
Cortot 1951   21  0.7158  0.0026  0.0821  0.249  0.5111  0.35
Csalog 1996   79  0.4674  0.0069  0.0568  0.0556  0.0480  0.04
Czerny 1949   39  0.6731  0.0022  0.0624  0.2143  0.1831  0.19
Czerny 1990   22  0.7133  0.0043  0.0541  0.1155  0.0457  0.07
Duchoud 2007   73  0.5328  0.0076  0.0473  0.0460  0.0583  0.04
Ezaki 2006   13  0.7285  0.0037  0.0432  0.1644  0.0841  0.11
Falvay 1989   81  0.4522  0.0186  0.0385  0.0358  0.0677  0.04
Farrell 1958   56  0.6262  0.0062  0.0558  0.0562  0.0565  0.05
Ferenczy 1958   27  0.6979  0.0027  0.0529  0.194  0.5016  0.31
Fliere 1977   11  0.738  0.049  0.139  0.4339  0.1524  0.25
Fou 1978   30  0.6919  0.0153  0.0562  0.0542  0.1054  0.07
Francois 1956   65  0.5917  0.0167  0.0656  0.0647  0.0574  0.05
Friedman 1923   19  0.7156  0.0039  0.0527  0.1925  0.4322  0.29
Friedman 1923b   23  0.7140  0.0040  0.0828  0.1925  0.4320  0.29
Friedman 1930   17  0.7238  0.0041  0.0635  0.1428  0.4027  0.24
Garcia 2007   8  0.7480  0.0016  0.0813  0.3316  0.459  0.39
Garcia 2007b   6  0.7516  0.018  0.194  0.5210  0.512  0.51
Gierzod 1998   12  0.7255  0.0020  0.0711  0.3740  0.1628  0.24
Gornostaeva 1994   46  0.6724  0.0035  0.0533  0.1611  0.3529  0.24
Groot 1988   57  0.6134  0.0058  0.0654  0.0640  0.2143  0.11
Harasiewicz 1955   10  0.7315  0.0118  0.0718  0.3043  0.1133  0.18
Hatto 1993   43  0.6743  0.0052  0.0847  0.0849  0.0658  0.07
Hatto 1997   37  0.6975  0.0051  0.0846  0.0843  0.1347  0.10
Horowitz 1949   18  0.7163  0.0025  0.0631  0.1713  0.5118  0.29
Indjic 1988   36  0.6950  0.0050  0.0474  0.0443  0.1355  0.07
Kapell 1951   20  0.714  0.083  0.153  0.539  0.374  0.44
Kissin 1993   24  0.7044  0.0049  0.0848  0.0846  0.0561  0.06
Kushner 1989   45  0.6741  0.0029  0.0739  0.1349  0.0648  0.09
Luisada 1991   4  0.7664  0.0011  0.0810  0.3827  0.2515  0.31
Lushtak 2004   59  0.6157  0.0065  0.0569  0.0554  0.0570  0.05
Malcuzynski 1961   67  0.581  0.171  0.1720  0.258  0.4413  0.33
Magaloff 1978   69  0.5577  0.0074  0.0481  0.0457  0.0576  0.04
Magin 1975   42  0.6748  0.0045  0.0544  0.0949  0.0653  0.07
Michalowski 1933   62  0.6060  0.0060  0.0476  0.0449  0.0768  0.05
Milkina 1970   38  0.6827  0.0042  0.0540  0.1239  0.1836  0.15
Mohovich 1999   32  0.6936  0.0030  0.0626  0.2032  0.3226  0.25
Moravec 1969   70  0.5451  0.0071  0.0477  0.0433  0.2444  0.10
Morozova 2008   34  0.6937  0.0054  0.0565  0.0574  0.0382  0.04
Neighaus 1950   28  0.6970  0.0012  0.0814  0.3332  0.2521  0.29
Niedzielski 1931   26  0.7067  0.0014  0.0816  0.3216  0.488  0.39
Ohlsson 1999   51  0.6429  0.0034  0.0537  0.1452  0.0551  0.08
Osinska 1989   2  0.7810  0.024  0.132  0.5413  0.491  0.51
Pachmann 1927   80  0.4653  0.0087  0.0384  0.0388  0.0289  0.02
Paderewski 1930   60  0.6035  0.0063  0.0571  0.0545  0.0860  0.06
Perlemuter 1992   5  0.7545  0.0015  0.0712  0.3621  0.3112  0.33
Pierdomenico 2008   77  0.4847  0.0078  0.0652  0.0658  0.0564  0.05
Poblocka 1999   53  0.6430  0.0031  0.0538  0.1342  0.1438  0.13
Rabcewiczowa 1932   54  0.635  0.0719  0.0736  0.1434  0.1635  0.15
Rachmaninoff 1923   49  0.6549  0.0057  0.0566  0.0546  0.0663  0.05
Rangell 2001   76  0.4823  0.0166  0.0564  0.0522  0.3539  0.13
Richter 1976   71  0.5461  0.0077  0.0651  0.0642  0.1845  0.10
Rosen 1989   16  0.7220  0.0117  0.0719  0.2825  0.2823  0.28
Rosenthal 1930   83  0.4190  0.0081  0.0475  0.0477  0.0385  0.03
Rosenthal 1931   84  0.3746  0.0082  0.0286  0.0250  0.0584  0.03
Rosenthal 1931b   85  0.3471  0.0084  0.0287  0.0270  0.0488  0.03
Rosenthal 1931c   88  0.3291  0.0083  0.0288  0.0278  0.0390  0.02
Rosenthal 1931d   86  0.3468  0.0085  0.0383  0.0375  0.0487  0.03
Rossi 2007   63  0.5914  0.0138  0.0445  0.0917  0.3632  0.18
Rubinstein 1939   68  0.5684  0.0075  0.0478  0.0463  0.0479  0.04
Rubinstein 1952   82  0.4365  0.0079  0.0567  0.0558  0.0573  0.05
Rubinstein 1966   66  0.5869  0.0070  0.0472  0.0456  0.0581  0.04
Schilhawsky 1960   40  0.6712  0.0232  0.0630  0.1842  0.1734  0.17
Shebanova 2002   9  0.746  0.057  0.156  0.5126  0.336  0.41
Smith 1975   50  0.6532  0.0056  0.0560  0.0569  0.0478  0.04
Sokolov 2002   72  0.5381  0.0068  0.0563  0.0574  0.0375  0.04
Sztompka 1959   7  0.753  0.116  0.137  0.4822  0.337  0.40
Tomsic 1995   78  0.4726  0.0080  0.0570  0.0555  0.0667  0.05
Uninsky 1932   3  0.787  0.045  0.155  0.5213  0.483  0.50
Uninsky 1971   29  0.6952  0.0013  0.108  0.4428  0.385  0.41
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   25  0.7086  0.0046  0.0655  0.0653  0.0566  0.05
Zak 1951   35  0.6987  0.0048  0.0749  0.0748  0.0659  0.06
Average   1  0.822  0.162  0.171  0.6042  0.1419  0.29
Random 1   90  -0.1778  0.0090  0.0190  0.0118  0.2971  0.05
Random 2   91  -0.2188  0.0091  0.0191  0.0188  0.0291  0.01
Random 3   89  -0.1189  0.0089  0.0289  0.0230  0.2556  0.07

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).