Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.2957  0.0071  0.0472  0.0472  0.0469  0.04
Anderszewski 2003   71  0.2867  0.0065  0.0564  0.0566  0.0468  0.04
Ashkenazy 1981   58  0.3180  0.0058  0.0653  0.0652  0.0754  0.06
Bacha 2000   87  0.1469  0.0087  0.0379  0.0386  0.0286  0.02
Badura 1965   48  0.3446  0.0054  0.0656  0.0628  0.2537  0.12
Barbosa 1983   63  0.2981  0.0062  0.0467  0.0470  0.0567  0.04
Biret 1990   6  0.4414  0.0114  0.119  0.5111  0.623  0.56
Blet 2003   15  0.415  0.0510  0.0816  0.4215  0.4911  0.45
Block 1995   24  0.3727  0.0039  0.0535  0.1550  0.0743  0.10
Blumental 1952   77  0.2385  0.0080  0.0382  0.0385  0.0379  0.03
Boshniakovich 1969   29  0.3630  0.0044  0.0644  0.1172  0.0452  0.07
Brailowsky 1960   61  0.3053  0.0072  0.0476  0.0476  0.0461  0.04
Bunin 1987   47  0.3487  0.0035  0.0631  0.1943  0.1329  0.16
Bunin 1987b   50  0.3386  0.0031  0.0630  0.2236  0.2324  0.22
Chiu 1999   3  0.458  0.024  0.153  0.6112  0.522  0.56
Cohen 1997   74  0.2622  0.0166  0.0471  0.0464  0.0471  0.04
Cortot 1951   84  0.1964  0.0086  0.0381  0.0384  0.0289  0.02
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   78  0.2275  0.0079  0.0287  0.0275  0.0387  0.02
Czerny 1990   44  0.3424  0.0028  0.0527  0.2448  0.0833  0.14
Duchoud 2007   21  0.3915  0.0115  0.1310  0.497  0.624  0.55
Ezaki 2006   73  0.2789  0.0078  0.0286  0.0282  0.0385  0.02
Falvay 1989   5  0.453  0.103  0.228  0.5117  0.429  0.46
Farrell 1958   32  0.3656  0.0041  0.0536  0.1528  0.2725  0.20
Ferenczy 1958   68  0.2860  0.0070  0.0468  0.0438  0.3436  0.12
Fliere 1977   2  0.512  0.132  0.322  0.7126  0.406  0.53
Fou 1978   39  0.3531  0.0029  0.0524  0.2760  0.0440  0.10
Francois 1956   85  0.1884  0.0085  0.0383  0.0374  0.0384  0.03
Friedman 1923   51  0.3361  0.0060  0.1143  0.1156  0.0651  0.08
Friedman 1923b   53  0.3325  0.0059  0.0751  0.0750  0.0655  0.06
Friedman 1930   46  0.3418  0.0132  0.0540  0.1248  0.0746  0.09
Garcia 2007   56  0.3212  0.0143  0.0639  0.1229  0.3027  0.19
Garcia 2007b   62  0.3013  0.0146  0.0560  0.0577  0.0473  0.04
Gierzod 1998   76  0.2588  0.0067  0.0473  0.0476  0.0470  0.04
Gornostaeva 1994   17  0.409  0.0111  0.0820  0.3535  0.2918  0.32
Groot 1988   13  0.4254  0.0023  0.0922  0.3261  0.0438  0.11
Harasiewicz 1955   11  0.4377  0.0021  0.1019  0.3662  0.0534  0.13
Hatto 1993   40  0.3582  0.0053  0.0846  0.0865  0.0556  0.06
Hatto 1997   43  0.3565  0.0056  0.0747  0.0770  0.0460  0.05
Horowitz 1949   67  0.2837  0.0074  0.0561  0.0559  0.0464  0.04
Indjic 1988   42  0.3558  0.0049  0.0652  0.0650  0.0753  0.06
Kapell 1951   22  0.3842  0.009  0.1015  0.4331  0.2417  0.32
Kissin 1993   30  0.3628  0.0018  0.1214  0.4431  0.4710  0.45
Kushner 1989   19  0.396  0.0317  0.1213  0.4564  0.0531  0.15
Luisada 1991   25  0.3732  0.0025  0.0628  0.2443  0.1128  0.16
Lushtak 2004   41  0.3511  0.0137  0.0541  0.1240  0.0842  0.10
Malcuzynski 1961   57  0.3138  0.0048  0.0559  0.0560  0.0558  0.05
Magaloff 1978   18  0.397  0.0224  0.0929  0.2334  0.2223  0.22
Magin 1975   12  0.4250  0.0019  0.1118  0.3931  0.3513  0.37
Michalowski 1933   55  0.3217  0.0126  0.0545  0.0914  0.4426  0.20
Milkina 1970   75  0.2670  0.0063  0.0557  0.0575  0.0463  0.04
Mohovich 1999   49  0.3316  0.0151  0.0654  0.0641  0.1050  0.08
Moravec 1969   28  0.3683  0.0038  0.0534  0.1668  0.0447  0.08
Morozova 2008   33  0.3690  0.0036  0.0532  0.1756  0.0545  0.09
Neighaus 1950   59  0.3159  0.0061  0.0470  0.0474  0.0383  0.03
Niedzielski 1931   54  0.3271  0.0027  0.0526  0.2527  0.3219  0.28
Ohlsson 1999   31  0.3673  0.0047  0.0562  0.0579  0.0366  0.04
Osinska 1989   1  0.521  0.421  0.421  0.726  0.691  0.70
Pachmann 1927   23  0.3819  0.0133  0.0537  0.1514  0.5020  0.27
Paderewski 1930   82  0.1936  0.0077  0.0377  0.0360  0.0565  0.04
Perlemuter 1992   38  0.3529  0.0052  0.0750  0.0733  0.2235  0.12
Pierdomenico 2008   26  0.3723  0.0050  0.0655  0.0625  0.3730  0.15
Poblocka 1999   16  0.4121  0.0113  0.0912  0.4728  0.3912  0.43
Rabcewiczowa 1932   72  0.2778  0.0068  0.0563  0.0569  0.0462  0.04
Rachmaninoff 1923   45  0.3439  0.0022  0.0923  0.3038  0.2121  0.25
Rangell 2001   79  0.2174  0.0075  0.0475  0.0477  0.0381  0.03
Richter 1976   10  0.4410  0.0112  0.0817  0.4233  0.3015  0.35
Rosen 1989   4  0.4533  0.0016  0.1411  0.4827  0.2814  0.37
Rosenthal 1930   80  0.2179  0.0083  0.0384  0.0379  0.0378  0.03
Rosenthal 1931   86  0.1768  0.0084  0.0378  0.0373  0.0476  0.03
Rosenthal 1931b   81  0.2152  0.0082  0.0474  0.0455  0.0572  0.04
Rosenthal 1931c   69  0.2841  0.0057  0.0749  0.0742  0.1544  0.10
Rosenthal 1931d   83  0.1947  0.0081  0.0380  0.0372  0.0482  0.03
Rossi 2007   35  0.3645  0.0034  0.0533  0.162  0.6916  0.33
Rubinstein 1939   36  0.3534  0.0040  0.0538  0.1346  0.0548  0.08
Rubinstein 1952   27  0.3743  0.0045  0.0558  0.0549  0.0857  0.06
Rubinstein 1966   14  0.414  0.057  0.126  0.5440  0.1222  0.25
Schilhawsky 1960   66  0.2963  0.0064  0.0469  0.0478  0.0377  0.03
Shebanova 2002   20  0.3949  0.0020  0.1021  0.3468  0.0632  0.14
Smith 1975   70  0.2851  0.0076  0.0385  0.0364  0.0474  0.03
Sokolov 2002   34  0.3644  0.0055  0.0748  0.0742  0.1439  0.10
Sztompka 1959   65  0.2955  0.0069  0.0565  0.0565  0.0559  0.05
Tomsic 1995   37  0.3572  0.0042  0.0542  0.1153  0.0649  0.08
Uninsky 1932   52  0.3340  0.0030  0.0725  0.2660  0.0441  0.10
Uninsky 1971   60  0.3048  0.0073  0.0566  0.0584  0.0275  0.03
Wasowski 1980   8  0.4426  0.005  0.134  0.5822  0.495  0.53
Zak 1937   7  0.4435  0.006  0.127  0.5312  0.527  0.52
Zak 1951   9  0.4420  0.018  0.115  0.5411  0.518  0.52
Random 1   88  -0.0476  0.0088  0.0288  0.0254  0.0480  0.03
Random 2   90  -0.0862  0.0090  0.0190  0.0182  0.0290  0.01
Random 3   89  -0.0666  0.0089  0.0189  0.0163  0.0388  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).