Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5962  0.0039  0.0734  0.2642  0.1342  0.18
Anderszewski 2003   9  0.6310  0.0117  0.1212  0.5116  0.499  0.50
Ashkenazy 1981   67  0.5083  0.0068  0.0566  0.0554  0.0674  0.05
Bacha 2000   76  0.4278  0.0077  0.0381  0.0370  0.0483  0.03
Badura 1965   54  0.5454  0.0055  0.0657  0.0643  0.1757  0.10
Barbosa 1983   34  0.586  0.0512  0.1127  0.399  0.5812  0.48
Biret 1990   24  0.6027  0.0013  0.1018  0.4524  0.3518  0.40
Blet 2003   55  0.5236  0.0057  0.0560  0.0523  0.3052  0.12
Block 1995   38  0.578  0.0222  0.0726  0.3911  0.5115  0.45
Blumental 1952   32  0.589  0.0221  0.0728  0.3232  0.2134  0.26
Boshniakovich 1969   14  0.6225  0.0014  0.1010  0.5330  0.4113  0.47
Brailowsky 1960   60  0.5166  0.0067  0.0468  0.0428  0.3649  0.12
Bunin 1987   74  0.4544  0.0076  0.0473  0.0437  0.2159  0.09
Bunin 1987b   75  0.4457  0.0075  0.0386  0.0337  0.2361  0.08
Chiu 1999   45  0.5658  0.0035  0.0642  0.1810  0.4031  0.27
Cohen 1997   83  0.3645  0.0081  0.0563  0.0559  0.0480  0.04
Cortot 1951   57  0.5234  0.0062  0.0479  0.0417  0.4948  0.14
Csalog 1996   79  0.4251  0.0063  0.0477  0.0459  0.0578  0.04
Czerny 1949   23  0.6038  0.0032  0.0732  0.2940  0.2333  0.26
Czerny 1990   8  0.6428  0.0019  0.1021  0.4336  0.2230  0.31
Duchoud 2007   80  0.3835  0.0080  0.0559  0.0562  0.0573  0.05
Ezaki 2006   33  0.5874  0.0054  0.0750  0.0759  0.0564  0.06
Falvay 1989   66  0.5013  0.0174  0.0385  0.0354  0.0675  0.04
Farrell 1958   64  0.5063  0.0064  0.0475  0.0451  0.0770  0.05
Ferenczy 1958   47  0.5669  0.0049  0.0846  0.0811  0.5240  0.20
Fliere 1977   6  0.654  0.064  0.159  0.5429  0.2521  0.37
Fou 1978   25  0.6032  0.0040  0.0537  0.2246  0.0655  0.11
Francois 1956   69  0.4784  0.0072  0.0471  0.0456  0.0582  0.04
Friedman 1923   51  0.5518  0.0153  0.0653  0.0626  0.4046  0.15
Friedman 1923b   49  0.5546  0.0051  0.0751  0.0727  0.4244  0.17
Friedman 1930   30  0.5915  0.0144  0.1138  0.2214  0.5226  0.34
Garcia 2007   37  0.5748  0.0042  0.0739  0.2016  0.4929  0.31
Garcia 2007b   17  0.6212  0.0110  0.1011  0.537  0.565  0.54
Gierzod 1998   2  0.6719  0.013  0.133  0.6128  0.4110  0.50
Gornostaeva 1994   15  0.6221  0.0015  0.098  0.569  0.573  0.56
Groot 1988   58  0.5133  0.0038  0.0541  0.1830  0.2141  0.19
Harasiewicz 1955   4  0.665  0.057  0.116  0.5828  0.4111  0.49
Hatto 1993   22  0.6049  0.0031  0.1125  0.4042  0.1735  0.26
Hatto 1997   16  0.6226  0.0020  0.1115  0.4929  0.2327  0.34
Horowitz 1949   53  0.5481  0.0058  0.0658  0.0616  0.4943  0.17
Indjic 1988   20  0.6159  0.0025  0.0819  0.4537  0.2228  0.31
Kapell 1951   7  0.647  0.025  0.154  0.6113  0.438  0.51
Kissin 1993   11  0.6322  0.0016  0.0913  0.5139  0.3019  0.39
Kushner 1989   19  0.6252  0.0024  0.0717  0.4532  0.3122  0.37
Luisada 1991   5  0.6656  0.0011  0.1114  0.506  0.566  0.53
Lushtak 2004   43  0.5724  0.0037  0.0644  0.1139  0.1847  0.14
Malcuzynski 1961   50  0.553  0.116  0.1529  0.3116  0.4324  0.37
Magaloff 1978   59  0.5131  0.0059  0.0655  0.0643  0.1060  0.08
Magin 1975   31  0.5961  0.0043  0.0935  0.2449  0.0554  0.11
Michalowski 1933   78  0.4260  0.0078  0.0561  0.0558  0.0571  0.05
Milkina 1970   18  0.6211  0.0118  0.1120  0.4336  0.3123  0.37
Mohovich 1999   48  0.5670  0.0045  0.0748  0.0742  0.1458  0.10
Moravec 1969   65  0.5037  0.0061  0.0565  0.0532  0.2453  0.11
Morozova 2008   35  0.5767  0.0050  0.0845  0.0847  0.0663  0.07
Neighaus 1950   36  0.5768  0.0028  0.0731  0.3020  0.4025  0.35
Niedzielski 1931   52  0.5450  0.0036  0.0640  0.1823  0.3636  0.25
Ohlsson 1999   44  0.5643  0.0033  0.0830  0.3038  0.1439  0.20
Osinska 1989   1  0.692  0.232  0.251  0.6818  0.531  0.60
Pachmann 1927   81  0.3772  0.0083  0.0478  0.0468  0.0385  0.03
Paderewski 1930   70  0.4785  0.0060  0.0564  0.0516  0.4645  0.15
Perlemuter 1992   12  0.6329  0.0030  0.0923  0.433  0.617  0.51
Pierdomenico 2008   77  0.4279  0.0073  0.0387  0.0357  0.0576  0.04
Poblocka 1999   26  0.5920  0.0023  0.0716  0.4726  0.4216  0.44
Rabcewiczowa 1932   46  0.5616  0.0127  0.0736  0.2324  0.2932  0.26
Rachmaninoff 1923   56  0.5255  0.0056  0.0562  0.0560  0.0569  0.05
Rangell 2001   61  0.5039  0.0034  0.0643  0.1310  0.5038  0.25
Richter 1976   62  0.5075  0.0066  0.0480  0.0437  0.3056  0.11
Rosen 1989   28  0.5942  0.0029  0.0722  0.4325  0.3320  0.38
Rosenthal 1930   82  0.3673  0.0082  0.0469  0.0449  0.0479  0.04
Rosenthal 1931   84  0.3153  0.0085  0.0472  0.0470  0.0386  0.03
Rosenthal 1931b   86  0.2888  0.0086  0.0383  0.0383  0.0288  0.02
Rosenthal 1931c   85  0.3189  0.0084  0.0382  0.0386  0.0289  0.02
Rosenthal 1931d   87  0.2671  0.0087  0.0384  0.0385  0.0287  0.02
Rossi 2007   68  0.4976  0.0065  0.0470  0.0421  0.3650  0.12
Rubinstein 1939   63  0.5082  0.0069  0.0567  0.0570  0.0477  0.04
Rubinstein 1952   72  0.4640  0.0070  0.0476  0.0453  0.0581  0.04
Rubinstein 1966   41  0.5741  0.0052  0.0656  0.0660  0.0572  0.05
Schilhawsky 1960   27  0.5923  0.0041  0.0633  0.2635  0.2437  0.25
Shebanova 2002   10  0.6314  0.019  0.095  0.5829  0.3017  0.42
Smith 1975   39  0.5764  0.0047  0.0749  0.0735  0.2151  0.12
Sokolov 2002   73  0.4680  0.0071  0.0474  0.0469  0.0384  0.03
Sztompka 1959   3  0.671  0.281  0.282  0.6516  0.542  0.59
Tomsic 1995   71  0.4617  0.0179  0.0654  0.0651  0.0767  0.06
Uninsky 1932   21  0.6090  0.0026  0.0724  0.4217  0.4814  0.45
Uninsky 1971   13  0.6230  0.008  0.127  0.5617  0.534  0.54
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   40  0.5786  0.0048  0.0652  0.0652  0.0765  0.06
Zak 1951   42  0.5787  0.0046  0.0747  0.0756  0.0666  0.06
Random 1   89  -0.0847  0.0089  0.0289  0.0234  0.1668  0.06
Random 2   90  -0.1565  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   88  -0.0577  0.0088  0.0288  0.028  0.3662  0.08

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).