Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.3876  0.0072  0.0560  0.0543  0.1371  0.08
Anderszewski 2003   14  0.627  0.024  0.218  0.762  0.749  0.75
Ashkenazy 1981   75  0.3546  0.0077  0.0375  0.0356  0.0389  0.03
Bacha 2000   73  0.3529  0.0073  0.0382  0.0331  0.2969  0.09
Badura 1965   56  0.4221  0.0059  0.0654  0.069  0.4850  0.17
Barbosa 1983   10  0.635  0.026  0.177  0.772  0.767  0.76
Biret 1990   35  0.5464  0.0029  0.1333  0.4722  0.4438  0.45
Blet 2003   74  0.3557  0.0080  0.0385  0.0362  0.0486  0.03
Block 1995   44  0.4958  0.0047  0.0947  0.0910  0.5645  0.22
Blumental 1952   25  0.5710  0.0122  0.1122  0.654  0.7314  0.69
Boshniakovich 1969   34  0.5465  0.0025  0.1126  0.5912  0.5131  0.55
Brailowsky 1960   43  0.5131  0.0040  0.1040  0.2520  0.5340  0.36
Bunin 1987   66  0.3966  0.0064  0.0564  0.0540  0.1172  0.07
Bunin 1987b   68  0.3854  0.0066  0.0470  0.0448  0.0675  0.05
Chiu 1999   49  0.4628  0.0056  0.0656  0.0622  0.3356  0.14
Cohen 1997   79  0.3372  0.0081  0.0377  0.0359  0.0490  0.03
Cortot 1951   72  0.3762  0.0065  0.0468  0.0414  0.5159  0.14
Csalog 1996   53  0.4448  0.0052  0.0655  0.0633  0.2362  0.12
Czerny 1949   2  0.752  0.272  0.483  0.851  0.891  0.87
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   87  0.2182  0.0088  0.0383  0.0369  0.0487  0.03
Ezaki 2006   17  0.6126  0.0017  0.1024  0.619  0.6025  0.60
Falvay 1989   7  0.664  0.0310  0.2519  0.6612  0.6322  0.64
Farrell 1958   30  0.5555  0.0027  0.1125  0.609  0.6623  0.63
Ferenczy 1958   47  0.4852  0.0048  0.0652  0.0613  0.5948  0.19
Fliere 1977   36  0.5432  0.0035  0.1231  0.5028  0.3939  0.44
Fou 1978   23  0.5733  0.0030  0.1227  0.5810  0.5229  0.55
Francois 1956   65  0.3919  0.0071  0.0471  0.0429  0.2864  0.11
Friedman 1923   62  0.4077  0.0060  0.0466  0.048  0.5655  0.15
Friedman 1923b   64  0.4067  0.0057  0.0559  0.057  0.5851  0.17
Friedman 1930   58  0.4250  0.0061  0.0557  0.0522  0.4258  0.14
Garcia 2007   83  0.2947  0.0082  0.0374  0.0361  0.0582  0.04
Garcia 2007b   61  0.4083  0.0058  0.0561  0.0538  0.2068  0.10
Gierzod 1998   6  0.6614  0.009  0.1811  0.745  0.6316  0.68
Gornostaeva 1994   37  0.5435  0.0038  0.1337  0.4114  0.5337  0.47
Groot 1988   57  0.4242  0.0041  0.0943  0.1918  0.3644  0.26
Harasiewicz 1955   3  0.743  0.113  0.532  0.862  0.842  0.85
Hatto 1993   21  0.5884  0.0016  0.1421  0.667  0.6918  0.67
Hatto 1997   26  0.5778  0.0021  0.1320  0.667  0.6817  0.67
Horowitz 1949   84  0.2685  0.0086  0.0380  0.0359  0.0581  0.04
Indjic 1988   24  0.5768  0.0020  0.1023  0.648  0.6820  0.66
Kapell 1951   12  0.6317  0.0012  0.176  0.783  0.756  0.76
Kissin 1993   15  0.6237  0.0024  0.1118  0.676  0.7412  0.70
Kushner 1989   19  0.6053  0.0019  0.1015  0.6815  0.5524  0.61
Luisada 1991   69  0.3879  0.0070  0.0469  0.0467  0.0479  0.04
Lushtak 2004   27  0.568  0.0132  0.0934  0.4717  0.5234  0.49
Malcuzynski 1961   18  0.6116  0.0015  0.1316  0.688  0.6321  0.65
Magaloff 1978   38  0.5334  0.0037  0.1039  0.408  0.5933  0.49
Magin 1975   45  0.4973  0.0046  0.1046  0.1027  0.3547  0.19
Michalowski 1933   88  0.1880  0.0087  0.0387  0.0366  0.0385  0.03
Milkina 1970   9  0.649  0.017  0.1612  0.715  0.6615  0.68
Mohovich 1999   50  0.4686  0.0049  0.0750  0.0755  0.0574  0.06
Moravec 1969   22  0.5745  0.0031  0.1128  0.545  0.6626  0.60
Morozova 2008   41  0.5169  0.0042  0.0742  0.2017  0.5142  0.32
Neighaus 1950   48  0.4738  0.0055  0.0563  0.057  0.5752  0.17
Niedzielski 1931   85  0.2463  0.0085  0.0379  0.0374  0.0484  0.03
Ohlsson 1999   46  0.4870  0.0050  0.0948  0.0935  0.2953  0.16
Osinska 1989   5  0.6613  0.008  0.175  0.787  0.7010  0.74
Pachmann 1927   80  0.3239  0.0078  0.0376  0.0322  0.4463  0.11
Paderewski 1930   86  0.2459  0.0079  0.0373  0.0320  0.3665  0.10
Perlemuter 1992   78  0.3387  0.0084  0.0288  0.0253  0.0583  0.03
Pierdomenico 2008   77  0.3388  0.0074  0.0384  0.0344  0.1173  0.06
Poblocka 1999   8  0.6524  0.0011  0.1910  0.763  0.748  0.75
Rabcewiczowa 1932   55  0.4343  0.0051  0.0653  0.0640  0.1470  0.09
Rachmaninoff 1923   67  0.3956  0.0053  0.0651  0.0630  0.3157  0.14
Rangell 2001   39  0.5225  0.0043  0.0841  0.229  0.5941  0.36
Richter 1976   20  0.5822  0.0023  0.1017  0.672  0.7213  0.69
Rosen 1989   52  0.4511  0.0167  0.0378  0.0376  0.0388  0.03
Rosenthal 1930   63  0.4044  0.0063  0.0749  0.0719  0.5049  0.19
Rosenthal 1931   70  0.3889  0.0069  0.0465  0.0423  0.4161  0.13
Rosenthal 1931b   82  0.3171  0.0076  0.0381  0.0325  0.3567  0.10
Rosenthal 1931c   60  0.4181  0.0054  0.0562  0.0517  0.4654  0.15
Rosenthal 1931d   81  0.3290  0.0075  0.0386  0.0331  0.3166  0.10
Rossi 2007   76  0.3430  0.0083  0.0467  0.0460  0.0580  0.04
Rubinstein 1939   40  0.5160  0.0036  0.1036  0.4315  0.5236  0.47
Rubinstein 1952   13  0.6341  0.0018  0.1013  0.708  0.6519  0.67
Rubinstein 1966   4  0.686  0.025  0.244  0.834  0.745  0.78
Schilhawsky 1960   33  0.5418  0.0026  0.1429  0.524  0.6827  0.59
Shebanova 2002   42  0.5112  0.0144  0.0744  0.1530  0.2946  0.21
Smith 1975   31  0.5523  0.0033  0.1030  0.514  0.6728  0.58
Sokolov 2002   54  0.4474  0.0062  0.0558  0.0534  0.3360  0.13
Sztompka 1959   11  0.6320  0.0013  0.1414  0.692  0.7911  0.74
Tomsic 1995   59  0.4149  0.0068  0.0472  0.0449  0.0776  0.05
Uninsky 1932   51  0.4640  0.0045  0.0745  0.146  0.6743  0.31
Uninsky 1971   16  0.6215  0.0014  0.119  0.762  0.834  0.79
Wasowski 1980   29  0.5551  0.0028  0.1035  0.4614  0.5332  0.49
Zak 1937   28  0.5636  0.0034  0.1032  0.4811  0.6230  0.55
Zak 1951   32  0.5527  0.0039  0.1338  0.4014  0.5835  0.48
Average   1  0.761  0.431  0.421  0.896  0.733  0.81
Random 1   91  -0.0761  0.0090  0.0190  0.0129  0.2477  0.05
Random 2   89  0.0175  0.0091  0.0191  0.0156  0.0491  0.02
Random 3   90  -0.0791  0.0089  0.0189  0.0130  0.2178  0.05

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).