Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6676  0.0022  0.1524  0.4917  0.4827  0.48
Anderszewski 2003   22  0.6513  0.0127  0.1025  0.4715  0.5026  0.48
Ashkenazy 1981   47  0.5552  0.0046  0.1046  0.1033  0.2546  0.16
Bacha 2000   67  0.4982  0.0067  0.0468  0.0442  0.1164  0.07
Badura 1965   42  0.5766  0.0042  0.0742  0.1923  0.4142  0.28
Barbosa 1983   63  0.5022  0.0064  0.0560  0.0545  0.1165  0.07
Biret 1990   57  0.5241  0.0053  0.0655  0.0653  0.0574  0.05
Blet 2003   70  0.4768  0.0078  0.0382  0.0352  0.0678  0.04
Block 1995   74  0.4683  0.0072  0.0473  0.0462  0.0579  0.04
Blumental 1952   60  0.5115  0.0047  0.0749  0.0742  0.1361  0.10
Boshniakovich 1969   9  0.6914  0.0011  0.1214  0.5615  0.5714  0.56
Brailowsky 1960   79  0.4239  0.0082  0.0386  0.0368  0.0575  0.04
Bunin 1987   40  0.5834  0.0038  0.0936  0.344  0.5631  0.44
Bunin 1987b   45  0.5653  0.0040  0.0837  0.294  0.5535  0.40
Chiu 1999   75  0.4477  0.0079  0.0471  0.0476  0.0384  0.03
Cohen 1997   88  0.2942  0.0084  0.0288  0.0256  0.0488  0.03
Cortot 1951   38  0.598  0.0241  0.0840  0.252  0.7233  0.42
Csalog 1996   87  0.3454  0.0081  0.0475  0.0482  0.0386  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   2  0.792  0.212  0.331  0.882  0.881  0.88
Duchoud 2007   76  0.4384  0.0073  0.0465  0.0441  0.1562  0.08
Ezaki 2006   16  0.6635  0.0019  0.1415  0.5414  0.5911  0.56
Falvay 1989   82  0.3978  0.0088  0.0472  0.0480  0.0385  0.03
Farrell 1958   39  0.597  0.0224  0.1130  0.427  0.5924  0.50
Ferenczy 1958   72  0.4760  0.0077  0.0384  0.0353  0.0487  0.03
Fliere 1977   8  0.6974  0.0016  0.1718  0.5421  0.3729  0.45
Fou 1978   53  0.5485  0.0048  0.0747  0.0763  0.0569  0.06
Francois 1956   46  0.5569  0.0062  0.0656  0.0627  0.4348  0.16
Friedman 1923   32  0.6140  0.0034  0.1032  0.397  0.5928  0.48
Friedman 1923b   31  0.6186  0.0030  0.0829  0.448  0.6021  0.51
Friedman 1930   36  0.6049  0.0044  0.0844  0.1713  0.5341  0.30
Garcia 2007   54  0.5443  0.0052  0.0558  0.0524  0.4151  0.14
Garcia 2007b   51  0.5470  0.0036  0.0638  0.2823  0.4640  0.36
Gierzod 1998   4  0.764  0.084  0.345  0.708  0.654  0.67
Gornostaeva 1994   34  0.6020  0.0045  0.0745  0.1525  0.3345  0.22
Groot 1988   78  0.4361  0.0061  0.0563  0.0574  0.0481  0.04
Harasiewicz 1955   5  0.746  0.025  0.287  0.669  0.685  0.67
Hatto 1993   20  0.6523  0.0015  0.1711  0.588  0.5415  0.56
Hatto 1997   17  0.6646  0.0014  0.1312  0.577  0.5512  0.56
Horowitz 1949   58  0.5187  0.0070  0.0474  0.0442  0.2360  0.10
Indjic 1988   14  0.6726  0.0013  0.208  0.597  0.5610  0.57
Kapell 1951   27  0.6318  0.0012  0.1420  0.5310  0.4725  0.50
Kissin 1993   12  0.6837  0.009  0.149  0.599  0.658  0.62
Kushner 1989   23  0.6451  0.0031  0.0934  0.3828  0.4234  0.40
Luisada 1991   52  0.5479  0.0063  0.0651  0.0651  0.0667  0.06
Lushtak 2004   44  0.5647  0.0049  0.0748  0.0745  0.1063  0.08
Malcuzynski 1961   7  0.695  0.067  0.263  0.702  0.782  0.74
Magaloff 1978   49  0.5521  0.0060  0.0562  0.0532  0.2455  0.11
Magin 1975   29  0.6244  0.0017  0.1421  0.5115  0.5023  0.50
Michalowski 1933   55  0.5375  0.0037  0.0739  0.279  0.5638  0.39
Milkina 1970   18  0.669  0.0123  0.1219  0.5319  0.5020  0.51
Mohovich 1999   64  0.5088  0.0065  0.0652  0.0658  0.0573  0.05
Moravec 1969   61  0.5150  0.0055  0.0466  0.0420  0.4552  0.13
Morozova 2008   37  0.6030  0.0033  0.0935  0.3513  0.4636  0.40
Neighaus 1950   13  0.6817  0.0021  0.1216  0.5412  0.5616  0.55
Niedzielski 1931   41  0.5724  0.0043  0.0743  0.1725  0.3544  0.24
Ohlsson 1999   33  0.6162  0.0035  0.1133  0.3926  0.3937  0.39
Osinska 1989   10  0.6928  0.0020  0.1210  0.5827  0.4918  0.53
Pachmann 1927   66  0.4956  0.0074  0.0380  0.0317  0.4258  0.11
Paderewski 1930   71  0.4767  0.0068  0.0564  0.0518  0.4550  0.15
Perlemuter 1992   62  0.5127  0.0071  0.0377  0.0360  0.0483  0.03
Pierdomenico 2008   81  0.4080  0.0080  0.0559  0.0539  0.2357  0.11
Poblocka 1999   15  0.6689  0.0018  0.1422  0.5114  0.5219  0.51
Rabcewiczowa 1932   65  0.5032  0.0056  0.0467  0.0446  0.0868  0.06
Rachmaninoff 1923   25  0.6358  0.0025  0.1326  0.468  0.5522  0.50
Rangell 2001   69  0.4829  0.0066  0.0654  0.0619  0.4247  0.16
Richter 1976   24  0.6471  0.0026  0.1623  0.4910  0.6017  0.54
Rosen 1989   56  0.5363  0.0059  0.0561  0.0574  0.0480  0.04
Rosenthal 1930   68  0.4811  0.0169  0.0476  0.0428  0.3454  0.12
Rosenthal 1931   83  0.3990  0.0083  0.0378  0.0357  0.0677  0.04
Rosenthal 1931b   86  0.3781  0.0085  0.0287  0.0260  0.0590  0.03
Rosenthal 1931c   80  0.4248  0.0075  0.0379  0.0341  0.1566  0.07
Rosenthal 1931d   85  0.3757  0.0086  0.0385  0.0375  0.0489  0.03
Rossi 2007   73  0.4664  0.0076  0.0381  0.0349  0.0771  0.05
Rubinstein 1939   43  0.5616  0.0051  0.0653  0.0620  0.3949  0.15
Rubinstein 1952   77  0.4325  0.0058  0.0469  0.0457  0.0582  0.04
Rubinstein 1966   50  0.5538  0.0057  0.0470  0.0449  0.0772  0.05
Schilhawsky 1960   3  0.763  0.153  0.354  0.702  0.733  0.71
Shebanova 2002   26  0.6319  0.0032  0.1131  0.4025  0.3639  0.38
Smith 1975   48  0.5545  0.0054  0.0557  0.0535  0.2356  0.11
Sokolov 2002   59  0.5159  0.0050  0.0650  0.0633  0.2353  0.12
Sztompka 1959   6  0.7312  0.016  0.226  0.687  0.646  0.66
Tomsic 1995   84  0.3891  0.0087  0.0383  0.0361  0.0676  0.04
Uninsky 1932   21  0.6510  0.0110  0.1317  0.546  0.5913  0.56
Uninsky 1971   11  0.6831  0.008  0.1913  0.577  0.639  0.60
Wasowski 1980   35  0.6055  0.0039  0.0941  0.2333  0.2943  0.26
Zak 1937   28  0.6236  0.0029  0.0927  0.4622  0.4330  0.44
Zak 1951   30  0.6133  0.0028  0.0828  0.4624  0.4132  0.43
Average   1  0.791  0.351  0.342  0.8117  0.547  0.66
Random 1   89  0.0072  0.0089  0.0289  0.022  0.5759  0.11
Random 2   90  -0.0173  0.0090  0.0190  0.0118  0.3370  0.06
Random 3   91  -0.0965  0.0091  0.0191  0.0155  0.0491  0.02

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).