Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.4523  0.0049  0.0465  0.0466  0.0469  0.04
Anderszewski 2003   50  0.4035  0.0040  0.0541  0.1387  0.0352  0.06
Ashkenazy 1981   79  0.3372  0.0074  0.0379  0.0376  0.0384  0.03
Bacha 2000   53  0.4036  0.0046  0.0648  0.0643  0.1042  0.08
Badura 1965   56  0.407  0.0151  0.0556  0.0555  0.0557  0.05
Barbosa 1983   65  0.3673  0.0028  0.0633  0.2243  0.1223  0.16
Biret 1990   22  0.5013  0.0124  0.0922  0.3773  0.0438  0.12
Blet 2003   20  0.5012  0.0121  0.0921  0.389  0.458  0.41
Block 1995   59  0.3920  0.0029  0.0634  0.1874  0.0444  0.08
Blumental 1952   26  0.4847  0.009  0.1512  0.4940  0.1511  0.27
Boshniakovich 1969   44  0.4331  0.0050  0.0559  0.0566  0.0471  0.04
Brailowsky 1960   51  0.4053  0.0069  0.0561  0.0565  0.0555  0.05
Bunin 1987   69  0.3563  0.0079  0.0469  0.0477  0.0385  0.03
Bunin 1987b   72  0.3574  0.0078  0.0472  0.0472  0.0461  0.04
Chiu 1999   57  0.4069  0.0035  0.0830  0.2529  0.2215  0.23
Cohen 1997   73  0.3529  0.0044  0.0543  0.1314  0.4017  0.23
Cortot 1951   83  0.3175  0.0083  0.0386  0.0372  0.0488  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   75  0.3488  0.0077  0.0382  0.0375  0.0483  0.03
Czerny 1990   24  0.4976  0.0019  0.0819  0.3967  0.0437  0.12
Duchoud 2007   81  0.3237  0.0080  0.0377  0.0362  0.0570  0.04
Ezaki 2006   27  0.4854  0.0025  0.0823  0.3659  0.0529  0.13
Falvay 1989   2  0.642  0.302  0.401  0.723  0.642  0.68
Farrell 1958   76  0.3477  0.0067  0.0375  0.0382  0.0377  0.03
Ferenczy 1958   3  0.613  0.123  0.284  0.651  0.751  0.70
Fliere 1977   16  0.526  0.0215  0.0716  0.4254  0.0527  0.14
Fou 1978   19  0.5122  0.0017  0.0918  0.4148  0.0621  0.16
Francois 1956   68  0.3657  0.0075  0.0471  0.0460  0.0473  0.04
Friedman 1923   87  0.2360  0.0087  0.0384  0.0385  0.0389  0.03
Friedman 1923b   88  0.2370  0.0086  0.0387  0.0385  0.0386  0.03
Friedman 1930   85  0.2848  0.0072  0.0381  0.0385  0.0382  0.03
Garcia 2007   45  0.4366  0.0056  0.0647  0.0646  0.0753  0.06
Garcia 2007b   47  0.4251  0.0058  0.0463  0.0455  0.0474  0.04
Gierzod 1998   15  0.5245  0.0020  0.0813  0.4467  0.0431  0.13
Gornostaeva 1994   41  0.4467  0.0041  0.0538  0.1564  0.0350  0.07
Groot 1988   29  0.4882  0.0031  0.0627  0.3044  0.0925  0.16
Harasiewicz 1955   38  0.4455  0.0034  0.0828  0.3074  0.0440  0.11
Hatto 1993   60  0.3919  0.0039  0.0642  0.1360  0.0545  0.08
Hatto 1997   49  0.418  0.0136  0.0837  0.1773  0.0443  0.08
Horowitz 1949   86  0.2652  0.0088  0.0468  0.0477  0.0462  0.04
Indjic 1988   54  0.4015  0.0038  0.0640  0.1465  0.0449  0.07
Kapell 1951   1  0.651  0.301  0.302  0.7113  0.434  0.55
Kissin 1993   21  0.5016  0.0032  0.0726  0.3155  0.0534  0.12
Kushner 1989   7  0.5610  0.0110  0.1511  0.4942  0.1313  0.25
Luisada 1991   55  0.4058  0.0057  0.0746  0.0762  0.0551  0.06
Lushtak 2004   28  0.4839  0.0018  0.0620  0.3843  0.1319  0.22
Malcuzynski 1961   71  0.3528  0.0068  0.0374  0.0375  0.0378  0.03
Magaloff 1978   61  0.3926  0.0071  0.0380  0.0384  0.0375  0.03
Magin 1975   31  0.4743  0.0043  0.0544  0.1161  0.0448  0.07
Michalowski 1933   84  0.2879  0.0084  0.0288  0.0277  0.0390  0.02
Milkina 1970   17  0.5218  0.0027  0.0625  0.3464  0.0530  0.13
Mohovich 1999   6  0.575  0.025  0.235  0.6419  0.543  0.59
Moravec 1969   18  0.5124  0.0033  0.0732  0.2224  0.3810  0.29
Morozova 2008   48  0.4189  0.0055  0.0549  0.0574  0.0367  0.04
Neighaus 1950   82  0.3183  0.0081  0.0383  0.0377  0.0487  0.03
Niedzielski 1931   63  0.3880  0.0064  0.0462  0.0470  0.0376  0.03
Ohlsson 1999   74  0.3564  0.0054  0.0554  0.0570  0.0465  0.04
Osinska 1989   10  0.5430  0.0011  0.139  0.5153  0.0720  0.19
Pachmann 1927   78  0.3365  0.0082  0.0385  0.0353  0.0564  0.04
Paderewski 1930   80  0.3281  0.0085  0.0378  0.0385  0.0379  0.03
Perlemuter 1992   32  0.4756  0.0030  0.0631  0.2435  0.2118  0.22
Pierdomenico 2008   52  0.4021  0.0047  0.0557  0.0546  0.1047  0.07
Poblocka 1999   12  0.5317  0.0012  0.116  0.5641  0.179  0.31
Rabcewiczowa 1932   25  0.4878  0.0023  0.0724  0.3663  0.0433  0.12
Rachmaninoff 1923   70  0.3590  0.0065  0.0553  0.0577  0.0460  0.04
Rangell 2001   67  0.3684  0.0070  0.0470  0.0470  0.0472  0.04
Richter 1976   77  0.3368  0.0062  0.0464  0.0467  0.0463  0.04
Rosen 1989   9  0.5546  0.0014  0.0614  0.4344  0.1216  0.23
Rosenthal 1930   34  0.4562  0.0059  0.0466  0.0439  0.1941  0.09
Rosenthal 1931   39  0.4449  0.0060  0.0552  0.0526  0.3035  0.12
Rosenthal 1931b   33  0.4614  0.0161  0.0555  0.0527  0.2939  0.12
Rosenthal 1931c   23  0.5032  0.0037  0.0636  0.1726  0.4012  0.26
Rosenthal 1931d   40  0.4461  0.0063  0.0551  0.0528  0.3928  0.14
Rossi 2007   58  0.3944  0.0026  0.0735  0.1828  0.3214  0.24
Rubinstein 1939   42  0.4350  0.0042  0.0739  0.1543  0.1032  0.12
Rubinstein 1952   5  0.5840  0.007  0.218  0.5116  0.486  0.49
Rubinstein 1966   13  0.5311  0.016  0.227  0.5131  0.357  0.42
Schilhawsky 1960   64  0.3785  0.0073  0.0376  0.0384  0.0381  0.03
Shebanova 2002   30  0.4886  0.0022  0.0829  0.2953  0.0536  0.12
Smith 1975   43  0.4341  0.0045  0.0645  0.1175  0.0446  0.07
Sokolov 2002   36  0.4571  0.0048  0.0550  0.0549  0.0556  0.05
Sztompka 1959   66  0.3687  0.0076  0.0373  0.0384  0.0380  0.03
Tomsic 1995   8  0.559  0.018  0.1510  0.5010  0.595  0.54
Uninsky 1932   62  0.3933  0.0066  0.0467  0.0471  0.0468  0.04
Uninsky 1971   37  0.4438  0.0052  0.0558  0.0573  0.0466  0.04
Wasowski 1980   46  0.4227  0.0053  0.0560  0.0578  0.0459  0.04
Zak 1937   14  0.5325  0.0016  0.0817  0.4155  0.0622  0.16
Zak 1951   11  0.5434  0.0013  0.1215  0.4363  0.0526  0.15
Average   4  0.594  0.104  0.273  0.6868  0.0424  0.16
Random 1   90  -0.1059  0.0090  0.0289  0.0241  0.1258  0.05
Random 2   91  -0.1691  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   89  -0.0642  0.0089  0.0290  0.0234  0.1854  0.06

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).