Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7273  0.0032  0.0524  0.2047  0.0641  0.11
Anderszewski 2003   13  0.7221  0.0120  0.0714  0.3211  0.3314  0.32
Ashkenazy 1981   46  0.6653  0.0046  0.0652  0.0652  0.0572  0.05
Bacha 2000   63  0.5982  0.0058  0.0560  0.0537  0.1151  0.07
Badura 1965   51  0.6434  0.0063  0.0558  0.0549  0.0669  0.05
Barbosa 1983   60  0.6010  0.0227  0.0533  0.159  0.4124  0.25
Biret 1990   32  0.6960  0.0023  0.0622  0.2228  0.2129  0.21
Blet 2003   47  0.6639  0.0054  0.0649  0.0638  0.1645  0.10
Block 1995   43  0.6717  0.0122  0.0621  0.228  0.4117  0.30
Blumental 1952   54  0.6312  0.0243  0.0542  0.0959  0.0461  0.06
Boshniakovich 1969   30  0.6924  0.0035  0.0541  0.1036  0.2136  0.14
Brailowsky 1960   57  0.6171  0.0060  0.0656  0.0627  0.2539  0.12
Bunin 1987   73  0.5175  0.0072  0.0478  0.0438  0.2249  0.09
Bunin 1987b   74  0.4966  0.0071  0.0479  0.0438  0.2248  0.09
Chiu 1999   40  0.679  0.039  0.0916  0.316  0.4310  0.37
Cohen 1997   86  0.3381  0.0087  0.0381  0.0377  0.0385  0.03
Cortot 1951   20  0.7159  0.0025  0.0820  0.248  0.5111  0.35
Csalog 1996   78  0.4672  0.0068  0.0567  0.0555  0.0480  0.04
Czerny 1949   38  0.6730  0.0021  0.0623  0.2142  0.1830  0.19
Czerny 1990   21  0.7132  0.0042  0.0540  0.1154  0.0456  0.07
Duchoud 2007   72  0.5327  0.0075  0.0472  0.0459  0.0582  0.04
Ezaki 2006   12  0.7284  0.0036  0.0431  0.1643  0.0840  0.11
Falvay 1989   80  0.4520  0.0185  0.0384  0.0357  0.0677  0.04
Farrell 1958   55  0.6262  0.0061  0.0657  0.0661  0.0564  0.05
Ferenczy 1958   26  0.6978  0.0026  0.0528  0.194  0.5016  0.31
Fliere 1977   10  0.738  0.048  0.138  0.4338  0.1523  0.25
Fou 1978   29  0.6918  0.0152  0.0561  0.0541  0.1053  0.07
Francois 1956   64  0.5916  0.0166  0.0655  0.0646  0.0574  0.05
Friedman 1923   18  0.7155  0.0038  0.0526  0.1924  0.4321  0.29
Friedman 1923b   22  0.7140  0.0039  0.0827  0.1924  0.4319  0.29
Friedman 1930   16  0.7238  0.0040  0.0734  0.1427  0.4026  0.24
Garcia 2007   7  0.7479  0.0015  0.0812  0.3315  0.459  0.39
Garcia 2007b   5  0.7514  0.017  0.193  0.529  0.512  0.51
Gierzod 1998   11  0.7254  0.0019  0.0810  0.3739  0.1627  0.24
Gornostaeva 1994   45  0.6723  0.0034  0.0532  0.1610  0.3528  0.24
Groot 1988   56  0.6135  0.0057  0.0653  0.0639  0.2142  0.11
Harasiewicz 1955   9  0.7315  0.0117  0.0717  0.3042  0.1132  0.18
Hatto 1993   42  0.6743  0.0051  0.0846  0.0848  0.0657  0.07
Hatto 1997   36  0.6974  0.0050  0.0845  0.0842  0.1346  0.10
Horowitz 1949   17  0.7164  0.0024  0.0630  0.1712  0.5118  0.29
Indjic 1988   35  0.6950  0.0049  0.0473  0.0442  0.1354  0.07
Kapell 1951   19  0.712  0.142  0.152  0.538  0.374  0.44
Kissin 1993   23  0.7042  0.0048  0.0847  0.0845  0.0560  0.06
Kushner 1989   44  0.6741  0.0028  0.0738  0.1348  0.0647  0.09
Luisada 1991   3  0.7665  0.0010  0.089  0.3826  0.2515  0.31
Lushtak 2004   58  0.6156  0.0064  0.0568  0.0553  0.0570  0.05
Malcuzynski 1961   66  0.581  0.171  0.1719  0.257  0.4413  0.33
Magaloff 1978   68  0.5576  0.0073  0.0480  0.0456  0.0576  0.04
Magin 1975   41  0.6747  0.0044  0.0543  0.0948  0.0652  0.07
Michalowski 1933   61  0.6061  0.0059  0.0475  0.0448  0.0767  0.05
Milkina 1970   37  0.6825  0.0041  0.0539  0.1238  0.1835  0.15
Mohovich 1999   31  0.6933  0.0029  0.0625  0.2031  0.3225  0.25
Moravec 1969   69  0.5448  0.0070  0.0476  0.0432  0.2443  0.10
Morozova 2008   33  0.6937  0.0053  0.0564  0.0573  0.0381  0.04
Neighaus 1950   27  0.6969  0.0011  0.0813  0.3331  0.2520  0.29
Niedzielski 1931   25  0.7057  0.0013  0.0815  0.3215  0.488  0.39
Ohlsson 1999   50  0.6428  0.0033  0.0536  0.1451  0.0550  0.08
Osinska 1989   1  0.787  0.043  0.131  0.5412  0.491  0.51
Pachmann 1927   79  0.4652  0.0086  0.0383  0.0387  0.0288  0.02
Paderewski 1930   59  0.6036  0.0062  0.0570  0.0544  0.0859  0.06
Perlemuter 1992   4  0.7545  0.0014  0.0711  0.3620  0.3112  0.33
Pierdomenico 2008   76  0.4846  0.0077  0.0651  0.0657  0.0563  0.05
Poblocka 1999   52  0.6429  0.0030  0.0537  0.1341  0.1437  0.13
Rabcewiczowa 1932   53  0.635  0.0718  0.0735  0.1433  0.1634  0.15
Rachmaninoff 1923   48  0.6549  0.0056  0.0565  0.0545  0.0662  0.05
Rangell 2001   75  0.4822  0.0165  0.0563  0.0521  0.3538  0.13
Richter 1976   70  0.5463  0.0076  0.0650  0.0641  0.1844  0.10
Rosen 1989   15  0.7219  0.0116  0.0718  0.2824  0.2822  0.28
Rosenthal 1930   82  0.4189  0.0080  0.0474  0.0476  0.0384  0.03
Rosenthal 1931   83  0.3744  0.0081  0.0285  0.0249  0.0583  0.03
Rosenthal 1931b   84  0.3470  0.0083  0.0286  0.0269  0.0487  0.03
Rosenthal 1931c   87  0.3290  0.0082  0.0287  0.0277  0.0389  0.02
Rosenthal 1931d   85  0.3467  0.0084  0.0382  0.0374  0.0486  0.03
Rossi 2007   62  0.5913  0.0137  0.0444  0.0917  0.3631  0.18
Rubinstein 1939   67  0.5683  0.0074  0.0477  0.0462  0.0479  0.04
Rubinstein 1952   81  0.4358  0.0078  0.0566  0.0557  0.0573  0.05
Rubinstein 1966   65  0.5868  0.0069  0.0571  0.0555  0.0568  0.05
Schilhawsky 1960   39  0.6711  0.0231  0.0629  0.1841  0.1733  0.17
Shebanova 2002   8  0.746  0.056  0.165  0.5125  0.336  0.41
Smith 1975   49  0.6531  0.0055  0.0559  0.0568  0.0478  0.04
Sokolov 2002   71  0.5380  0.0067  0.0562  0.0573  0.0375  0.04
Sztompka 1959   6  0.753  0.125  0.136  0.4821  0.337  0.40
Tomsic 1995   77  0.4726  0.0079  0.0569  0.0554  0.0666  0.05
Uninsky 1932   2  0.784  0.104  0.154  0.5212  0.483  0.50
Uninsky 1971   28  0.6951  0.0012  0.107  0.4427  0.385  0.41
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   24  0.7085  0.0045  0.0654  0.0652  0.0565  0.05
Zak 1951   34  0.6986  0.0047  0.0748  0.0747  0.0658  0.06
Random 1   89  -0.1777  0.0089  0.0189  0.0120  0.2871  0.05
Random 2   90  -0.2187  0.0090  0.0190  0.0187  0.0290  0.01
Random 3   88  -0.1188  0.0088  0.0288  0.0230  0.2555  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).