Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5310  0.0227  0.0828  0.2570  0.0336  0.09
Anderszewski 2003   79  0.2571  0.0061  0.0461  0.0484  0.0272  0.03
Ashkenazy 1981   62  0.3582  0.0055  0.0469  0.0470  0.0380  0.03
Bacha 2000   8  0.5623  0.007  0.1010  0.4614  0.395  0.42
Badura 1965   66  0.3469  0.0048  0.0746  0.0750  0.0544  0.06
Barbosa 1983   51  0.3947  0.0023  0.0725  0.2827  0.2313  0.25
Biret 1990   9  0.5653  0.0013  0.1014  0.4145  0.0620  0.16
Blet 2003   20  0.5222  0.0030  0.0629  0.2461  0.0432  0.10
Block 1995   73  0.3033  0.0080  0.0377  0.0383  0.0377  0.03
Blumental 1952   67  0.3363  0.0060  0.0463  0.0484  0.0278  0.03
Boshniakovich 1969   60  0.3656  0.0076  0.0471  0.0485  0.0279  0.03
Brailowsky 1960   47  0.4174  0.0040  0.0739  0.1549  0.0533  0.09
Bunin 1987   72  0.3166  0.0078  0.0385  0.0374  0.0381  0.03
Bunin 1987b   71  0.3172  0.0077  0.0384  0.0376  0.0366  0.03
Chiu 1999   59  0.3640  0.0031  0.0624  0.2941  0.1515  0.21
Cohen 1997   34  0.479  0.024  0.1712  0.452  0.562  0.50
Cortot 1951   43  0.4343  0.0063  0.0555  0.0582  0.0361  0.04
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   64  0.3478  0.0074  0.0380  0.0381  0.0374  0.03
Czerny 1990   33  0.4759  0.0044  0.0543  0.1087  0.0259  0.04
Duchoud 2007   53  0.3948  0.0064  0.0554  0.0558  0.0458  0.04
Ezaki 2006   49  0.4045  0.0053  0.0553  0.0562  0.0447  0.04
Falvay 1989   7  0.6011  0.013  0.146  0.5315  0.453  0.49
Farrell 1958   52  0.3960  0.0067  0.0556  0.0581  0.0354  0.04
Ferenczy 1958   12  0.5413  0.0122  0.0716  0.4028  0.2210  0.30
Fliere 1977   26  0.5019  0.0032  0.0530  0.2359  0.0429  0.10
Fou 1978   29  0.4824  0.0028  0.0821  0.3566  0.0426  0.12
Francois 1956   25  0.5037  0.0025  0.0727  0.2659  0.0528  0.11
Friedman 1923   87  -0.0165  0.0087  0.0287  0.0287  0.0190  0.01
Friedman 1923b   86  0.0067  0.0086  0.0286  0.0285  0.0288  0.02
Friedman 1930   85  0.0681  0.0085  0.0375  0.0385  0.0285  0.02
Garcia 2007   77  0.2887  0.0079  0.0382  0.0383  0.0375  0.03
Garcia 2007b   83  0.1657  0.0082  0.0378  0.0376  0.0384  0.03
Gierzod 1998   24  0.5130  0.0043  0.0641  0.1265  0.0442  0.07
Gornostaeva 1994   45  0.4283  0.0071  0.0462  0.0479  0.0382  0.03
Groot 1988   23  0.5126  0.0029  0.0733  0.1941  0.1022  0.14
Harasiewicz 1955   81  0.2368  0.0068  0.0647  0.0677  0.0362  0.04
Hatto 1993   78  0.2742  0.0041  0.0737  0.1550  0.0637  0.09
Hatto 1997   70  0.3152  0.0042  0.0934  0.1758  0.0535  0.09
Horowitz 1949   63  0.3573  0.0072  0.0383  0.0359  0.0468  0.03
Indjic 1988   74  0.3049  0.0033  0.0536  0.1649  0.0631  0.10
Kapell 1951   2  0.653  0.075  0.153  0.5663  0.0421  0.15
Kissin 1993   21  0.5214  0.0118  0.0611  0.4542  0.1214  0.23
Kushner 1989   15  0.5317  0.0119  0.0618  0.3844  0.1017  0.19
Luisada 1991   68  0.3329  0.0039  0.0531  0.2180  0.0338  0.08
Lushtak 2004   38  0.4561  0.0014  0.1322  0.3556  0.0523  0.13
Malcuzynski 1961   50  0.4027  0.0075  0.0381  0.0368  0.0467  0.03
Magaloff 1978   40  0.4434  0.0058  0.0373  0.0384  0.0365  0.03
Magin 1975   75  0.2941  0.0049  0.0557  0.0569  0.0352  0.04
Michalowski 1933   82  0.2038  0.0081  0.0376  0.0374  0.0470  0.03
Milkina 1970   4  0.6225  0.008  0.128  0.5140  0.1212  0.25
Mohovich 1999   10  0.5654  0.0021  0.0715  0.4078  0.0327  0.11
Moravec 1969   6  0.6121  0.009  0.139  0.4918  0.394  0.44
Morozova 2008   76  0.2984  0.0052  0.0470  0.0469  0.0373  0.03
Neighaus 1950   57  0.3679  0.0070  0.0374  0.0386  0.0289  0.02
Niedzielski 1931   28  0.5031  0.0035  0.0538  0.1547  0.0439  0.08
Ohlsson 1999   35  0.466  0.0317  0.0623  0.3043  0.0919  0.16
Osinska 1989   16  0.5335  0.0024  0.0620  0.3559  0.0425  0.12
Pachmann 1927   37  0.4615  0.0146  0.0552  0.0555  0.0545  0.05
Paderewski 1930   31  0.4880  0.0047  0.0745  0.0782  0.0255  0.04
Perlemuter 1992   48  0.4050  0.0037  0.0542  0.1070  0.0443  0.06
Pierdomenico 2008   65  0.3475  0.0069  0.0472  0.0468  0.0451  0.04
Poblocka 1999   3  0.645  0.066  0.162  0.6534  0.178  0.33
Rabcewiczowa 1932   30  0.4870  0.0045  0.0648  0.0683  0.0353  0.04
Rachmaninoff 1923   80  0.2464  0.0083  0.0466  0.0457  0.0449  0.04
Rangell 2001   27  0.5036  0.0036  0.0540  0.1448  0.0541  0.08
Richter 1976   55  0.3720  0.0038  0.0544  0.1043  0.1130  0.10
Rosen 1989   14  0.538  0.0234  0.0532  0.2079  0.0340  0.08
Rosenthal 1930   36  0.4651  0.0056  0.0458  0.0471  0.0376  0.03
Rosenthal 1931   56  0.3688  0.0065  0.0459  0.0465  0.0371  0.03
Rosenthal 1931b   58  0.3685  0.0066  0.0460  0.0472  0.0383  0.03
Rosenthal 1931c   32  0.4758  0.0057  0.0549  0.0559  0.0463  0.04
Rosenthal 1931d   46  0.4277  0.0059  0.0465  0.0455  0.0560  0.04
Rossi 2007   84  0.1376  0.0084  0.0551  0.0572  0.0448  0.04
Rubinstein 1939   41  0.4362  0.0010  0.1026  0.2716  0.369  0.31
Rubinstein 1952   1  0.701  0.431  0.421  0.6511  0.561  0.60
Rubinstein 1966   17  0.5332  0.0011  0.1413  0.4330  0.277  0.34
Schilhawsky 1960   44  0.4355  0.0051  0.0468  0.0470  0.0456  0.04
Shebanova 2002   5  0.612  0.132  0.194  0.5629  0.266  0.38
Smith 1975   54  0.3889  0.0062  0.0550  0.0562  0.0450  0.04
Sokolov 2002   39  0.4428  0.0054  0.0467  0.0466  0.0364  0.03
Sztompka 1959   61  0.3686  0.0073  0.0379  0.0381  0.0469  0.03
Tomsic 1995   13  0.5412  0.0120  0.0617  0.3939  0.1811  0.26
Uninsky 1932   69  0.3346  0.0050  0.0464  0.0473  0.0457  0.04
Uninsky 1971   42  0.434  0.0616  0.0735  0.1670  0.0534  0.09
Wasowski 1980   22  0.5116  0.0126  0.0719  0.3674  0.0424  0.12
Zak 1937   11  0.5618  0.0112  0.125  0.5458  0.0618  0.18
Zak 1951   19  0.537  0.0215  0.117  0.5245  0.0816  0.20
Random 1   89  -0.0744  0.0089  0.0189  0.0127  0.3046  0.05
Random 2   90  -0.1090  0.0088  0.0188  0.0157  0.0486  0.02
Random 3   88  -0.0239  0.0090  0.0190  0.0156  0.0487  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).