Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5310  0.0228  0.0729  0.2571  0.0337  0.09
Anderszewski 2003   80  0.2572  0.0062  0.0462  0.0485  0.0272  0.03
Ashkenazy 1981   63  0.3583  0.0056  0.0470  0.0471  0.0380  0.03
Bacha 2000   8  0.5623  0.007  0.1010  0.4615  0.395  0.42
Badura 1965   67  0.3470  0.0049  0.0747  0.0751  0.0545  0.06
Barbosa 1983   52  0.3947  0.0024  0.0726  0.2828  0.2313  0.25
Biret 1990   9  0.5653  0.0013  0.1015  0.4146  0.0620  0.16
Blet 2003   21  0.5222  0.0031  0.0630  0.2462  0.0432  0.10
Block 1995   74  0.3033  0.0081  0.0378  0.0384  0.0377  0.03
Blumental 1952   68  0.3363  0.0061  0.0464  0.0485  0.0278  0.03
Boshniakovich 1969   61  0.3657  0.0077  0.0472  0.0486  0.0279  0.03
Brailowsky 1960   48  0.4174  0.0041  0.0640  0.1550  0.0534  0.09
Bunin 1987   73  0.3167  0.0079  0.0286  0.0275  0.0388  0.02
Bunin 1987b   72  0.3173  0.0078  0.0285  0.0277  0.0384  0.02
Chiu 1999   60  0.3640  0.0032  0.0625  0.2942  0.1515  0.21
Cohen 1997   35  0.479  0.024  0.1712  0.452  0.562  0.50
Cortot 1951   44  0.4343  0.0064  0.0556  0.0583  0.0361  0.04
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   65  0.3479  0.0075  0.0381  0.0382  0.0374  0.03
Czerny 1990   34  0.4759  0.0045  0.0544  0.1088  0.0259  0.04
Duchoud 2007   54  0.3948  0.0065  0.0555  0.0559  0.0458  0.04
Ezaki 2006   50  0.4045  0.0054  0.0554  0.0563  0.0448  0.04
Falvay 1989   7  0.6011  0.013  0.146  0.5316  0.453  0.49
Farrell 1958   53  0.3961  0.0068  0.0557  0.0582  0.0354  0.04
Ferenczy 1958   13  0.5413  0.0123  0.0717  0.4029  0.2210  0.30
Fliere 1977   27  0.5020  0.0033  0.0531  0.2360  0.0429  0.10
Fou 1978   30  0.4824  0.0029  0.0822  0.3567  0.0426  0.12
Francois 1956   26  0.5037  0.0026  0.0728  0.2660  0.0433  0.10
Friedman 1923   88  -0.0166  0.0088  0.0288  0.0288  0.0191  0.01
Friedman 1923b   87  0.0068  0.0087  0.0287  0.0286  0.0289  0.02
Friedman 1930   86  0.0682  0.0086  0.0376  0.0386  0.0285  0.02
Garcia 2007   78  0.2888  0.0080  0.0383  0.0384  0.0375  0.03
Garcia 2007b   84  0.1658  0.0083  0.0379  0.0377  0.0383  0.03
Gierzod 1998   25  0.5130  0.0044  0.0642  0.1266  0.0443  0.07
Gornostaeva 1994   46  0.4284  0.0072  0.0463  0.0480  0.0381  0.03
Groot 1988   24  0.5126  0.0030  0.0734  0.1942  0.1022  0.14
Harasiewicz 1955   82  0.2369  0.0069  0.0648  0.0678  0.0362  0.04
Hatto 1993   79  0.2742  0.0042  0.0738  0.1551  0.0638  0.09
Hatto 1997   71  0.3152  0.0043  0.0935  0.1759  0.0536  0.09
Horowitz 1949   64  0.3575  0.0073  0.0384  0.0360  0.0468  0.03
Indjic 1988   75  0.3049  0.0034  0.0537  0.1650  0.0631  0.10
Kapell 1951   2  0.653  0.075  0.153  0.5664  0.0421  0.15
Kissin 1993   22  0.5214  0.0119  0.0611  0.4543  0.1214  0.23
Kushner 1989   16  0.5317  0.0120  0.0619  0.3845  0.1017  0.19
Luisada 1991   69  0.3329  0.0040  0.0532  0.2181  0.0339  0.08
Lushtak 2004   39  0.4562  0.0014  0.1123  0.3557  0.0523  0.13
Malcuzynski 1961   51  0.4027  0.0076  0.0382  0.0369  0.0467  0.03
Magaloff 1978   41  0.4434  0.0059  0.0374  0.0385  0.0365  0.03
Magin 1975   76  0.2941  0.0050  0.0558  0.0570  0.0352  0.04
Michalowski 1933   83  0.2038  0.0082  0.0377  0.0375  0.0470  0.03
Milkina 1970   4  0.6225  0.008  0.128  0.5141  0.1212  0.25
Mohovich 1999   10  0.5655  0.0022  0.0716  0.4079  0.0328  0.11
Moravec 1969   6  0.6121  0.009  0.139  0.4919  0.394  0.44
Morozova 2008   77  0.2985  0.0053  0.0471  0.0470  0.0373  0.03
Neighaus 1950   58  0.3680  0.0071  0.0375  0.0387  0.0290  0.02
Niedzielski 1931   29  0.5031  0.0036  0.0539  0.1548  0.0440  0.08
Ohlsson 1999   36  0.466  0.0318  0.0624  0.3044  0.0919  0.16
Osinska 1989   17  0.5335  0.0025  0.0621  0.3560  0.0425  0.12
Pachmann 1927   38  0.4615  0.0147  0.0553  0.0556  0.0547  0.05
Paderewski 1930   32  0.4881  0.0048  0.0746  0.0783  0.0255  0.04
Perlemuter 1992   49  0.4050  0.0038  0.0543  0.1071  0.0444  0.06
Pierdomenico 2008   66  0.3476  0.0070  0.0473  0.0469  0.0366  0.03
Poblocka 1999   3  0.645  0.066  0.162  0.6535  0.178  0.33
Rabcewiczowa 1932   31  0.4871  0.0046  0.0649  0.0684  0.0353  0.04
Rachmaninoff 1923   81  0.2465  0.0084  0.0467  0.0458  0.0450  0.04
Rangell 2001   28  0.5036  0.0037  0.0541  0.1449  0.0542  0.08
Richter 1976   56  0.3719  0.0039  0.0545  0.1044  0.1130  0.10
Rosen 1989   15  0.538  0.0235  0.0533  0.2080  0.0341  0.08
Rosenthal 1930   37  0.4651  0.0057  0.0459  0.0472  0.0376  0.03
Rosenthal 1931   57  0.3689  0.0066  0.0460  0.0466  0.0371  0.03
Rosenthal 1931b   59  0.3686  0.0067  0.0461  0.0473  0.0382  0.03
Rosenthal 1931c   33  0.4760  0.0058  0.0550  0.0560  0.0463  0.04
Rosenthal 1931d   47  0.4278  0.0060  0.0466  0.0456  0.0560  0.04
Rossi 2007   85  0.1377  0.0085  0.0552  0.0573  0.0449  0.04
Rubinstein 1939   42  0.4364  0.0010  0.1027  0.2717  0.369  0.31
Rubinstein 1952   1  0.701  0.431  0.421  0.6511  0.561  0.60
Rubinstein 1966   18  0.5332  0.0011  0.1413  0.4331  0.277  0.34
Schilhawsky 1960   45  0.4356  0.0052  0.0469  0.0471  0.0456  0.04
Shebanova 2002   5  0.612  0.132  0.194  0.5630  0.266  0.38
Smith 1975   55  0.3890  0.0063  0.0551  0.0563  0.0451  0.04
Sokolov 2002   40  0.4428  0.0055  0.0468  0.0467  0.0364  0.03
Sztompka 1959   62  0.3687  0.0074  0.0380  0.0382  0.0469  0.03
Tomsic 1995   14  0.5412  0.0121  0.0618  0.3940  0.1811  0.26
Uninsky 1932   70  0.3346  0.0051  0.0465  0.0474  0.0457  0.04
Uninsky 1971   43  0.434  0.0617  0.0736  0.1671  0.0535  0.09
Wasowski 1980   23  0.5116  0.0127  0.0720  0.3675  0.0424  0.12
Zak 1937   12  0.5618  0.0112  0.125  0.5459  0.0618  0.18
Zak 1951   20  0.537  0.0215  0.117  0.5246  0.0816  0.20
Average   11  0.5654  0.0016  0.0714  0.4287  0.0327  0.11
Random 1   90  -0.0744  0.0090  0.0190  0.0127  0.3246  0.06
Random 2   91  -0.1091  0.0089  0.0189  0.0165  0.0386  0.02
Random 3   89  -0.0239  0.0091  0.0191  0.0157  0.0587  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).