Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2258  0.0066  0.0749  0.0782  0.0359  0.05
Anderszewski 2003   77  0.1186  0.0069  0.0479  0.0484  0.0378  0.03
Ashkenazy 1981   40  0.3074  0.0045  0.0744  0.1450  0.0841  0.11
Bacha 2000   87  -0.0478  0.0088  0.0188  0.0188  0.0291  0.01
Badura 1965   65  0.2275  0.0059  0.0565  0.0557  0.0471  0.04
Barbosa 1983   69  0.1976  0.0071  0.0473  0.0481  0.0377  0.03
Biret 1990   14  0.4120  0.007  0.1516  0.5218  0.5910  0.55
Blet 2003   22  0.3761  0.0030  0.0727  0.3951  0.0730  0.17
Block 1995   29  0.3316  0.0140  0.0740  0.1960  0.0544  0.10
Blumental 1952   81  0.0579  0.0082  0.0381  0.0387  0.0286  0.02
Boshniakovich 1969   47  0.2545  0.0056  0.0650  0.0654  0.0653  0.06
Brailowsky 1960   71  0.1856  0.0075  0.0652  0.0667  0.0456  0.05
Bunin 1987   45  0.2869  0.0034  0.0831  0.3242  0.1524  0.22
Bunin 1987b   42  0.2870  0.0033  0.0730  0.3241  0.1522  0.22
Chiu 1999   3  0.504  0.074  0.323  0.7621  0.604  0.68
Cohen 1997   49  0.2533  0.0073  0.0563  0.0565  0.0373  0.04
Cortot 1951   60  0.2231  0.0076  0.0747  0.0766  0.0462  0.05
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   76  0.1487  0.0067  0.0472  0.0450  0.0758  0.05
Czerny 1990   50  0.2539  0.0049  0.0655  0.0649  0.0849  0.07
Duchoud 2007   5  0.501  0.291  0.291  0.794  0.751  0.77
Ezaki 2006   82  0.0280  0.0089  0.0189  0.0191  0.0190  0.01
Falvay 1989   56  0.2455  0.0025  0.0736  0.2149  0.0638  0.11
Farrell 1958   16  0.4128  0.0014  0.1110  0.597  0.586  0.58
Ferenczy 1958   85  -0.0381  0.0090  0.0190  0.0185  0.0383  0.02
Fliere 1977   7  0.4714  0.0112  0.139  0.6144  0.3016  0.43
Fou 1978   54  0.2446  0.0057  0.0653  0.0683  0.0365  0.04
Francois 1956   73  0.1682  0.0077  0.0477  0.0484  0.0281  0.03
Friedman 1923   9  0.4525  0.009  0.107  0.6429  0.508  0.57
Friedman 1923b   10  0.4512  0.0110  0.128  0.6426  0.537  0.58
Friedman 1930   24  0.3740  0.0035  0.0732  0.3246  0.1128  0.19
Garcia 2007   67  0.2053  0.0058  0.0651  0.0669  0.0560  0.05
Garcia 2007b   58  0.2318  0.0148  0.0654  0.0651  0.0754  0.06
Gierzod 1998   86  -0.0377  0.0086  0.0287  0.0288  0.0285  0.02
Gornostaeva 1994   30  0.3324  0.0041  0.0645  0.1447  0.0842  0.11
Groot 1988   25  0.3650  0.0038  0.0933  0.3166  0.0637  0.14
Harasiewicz 1955   17  0.4035  0.0037  0.0929  0.3446  0.0735  0.15
Hatto 1993   52  0.2473  0.0063  0.0559  0.0568  0.0561  0.05
Hatto 1997   66  0.2162  0.0065  0.0564  0.0582  0.0370  0.04
Horowitz 1949   39  0.3015  0.0144  0.0743  0.1569  0.0546  0.09
Indjic 1988   61  0.2254  0.0062  0.0476  0.0453  0.0851  0.06
Kapell 1951   64  0.2288  0.0053  0.0560  0.0553  0.0750  0.06
Kissin 1993   43  0.288  0.0219  0.1022  0.4439  0.3319  0.38
Kushner 1989   46  0.2713  0.0128  0.0738  0.2044  0.1429  0.17
Luisada 1991   18  0.3919  0.0120  0.0818  0.5040  0.2720  0.37
Lushtak 2004   57  0.2310  0.0254  0.0568  0.0545  0.0948  0.07
Malcuzynski 1961   63  0.2257  0.0055  0.0567  0.0557  0.0557  0.05
Magaloff 1978   15  0.4123  0.0016  0.1214  0.5627  0.4313  0.49
Magin 1975   38  0.3137  0.0047  0.0748  0.0747  0.1047  0.08
Michalowski 1933   4  0.503  0.113  0.272  0.774  0.722  0.74
Milkina 1970   78  0.1065  0.0060  0.0566  0.0569  0.0366  0.04
Mohovich 1999   75  0.1536  0.0074  0.0561  0.0575  0.0372  0.04
Moravec 1969   53  0.2483  0.0050  0.0746  0.0768  0.0455  0.05
Morozova 2008   32  0.3341  0.0036  0.0834  0.2669  0.0443  0.10
Neighaus 1950   21  0.3859  0.0027  0.0821  0.4464  0.0534  0.15
Niedzielski 1931   35  0.3266  0.0032  0.0728  0.3959  0.0633  0.15
Ohlsson 1999   13  0.4142  0.0018  0.1020  0.4541  0.1123  0.22
Osinska 1989   6  0.506  0.035  0.256  0.6511  0.685  0.66
Pachmann 1927   12  0.455  0.048  0.1012  0.5821  0.549  0.56
Paderewski 1930   48  0.2529  0.0031  0.0737  0.2144  0.2125  0.21
Perlemuter 1992   37  0.3138  0.0039  0.0739  0.2044  0.1332  0.16
Pierdomenico 2008   27  0.3584  0.0042  0.0742  0.1757  0.0545  0.09
Poblocka 1999   20  0.3811  0.0121  0.0819  0.4724  0.3917  0.43
Rabcewiczowa 1932   74  0.1689  0.0078  0.0474  0.0471  0.0376  0.03
Rachmaninoff 1923   36  0.3130  0.0023  0.1126  0.4028  0.4118  0.40
Rangell 2001   68  0.1943  0.0061  0.0475  0.0476  0.0474  0.04
Richter 1976   8  0.4547  0.0011  0.1013  0.5738  0.4312  0.50
Rosen 1989   11  0.459  0.0213  0.1211  0.5835  0.3515  0.45
Rosenthal 1930   80  0.0767  0.0080  0.0478  0.0485  0.0379  0.03
Rosenthal 1931   90  -0.0590  0.0087  0.0286  0.0287  0.0282  0.02
Rosenthal 1931b   84  -0.0391  0.0083  0.0283  0.0287  0.0289  0.02
Rosenthal 1931c   79  0.0844  0.0068  0.0380  0.0374  0.0380  0.03
Rosenthal 1931d   89  -0.0571  0.0085  0.0284  0.0289  0.0288  0.02
Rossi 2007   31  0.3360  0.0046  0.0657  0.063  0.6927  0.20
Rubinstein 1939   34  0.3222  0.0024  0.0925  0.4020  0.3221  0.36
Rubinstein 1952   51  0.2563  0.0051  0.0656  0.0655  0.0563  0.05
Rubinstein 1966   44  0.287  0.0229  0.0835  0.2657  0.0540  0.11
Schilhawsky 1960   55  0.2451  0.0064  0.0570  0.0572  0.0469  0.04
Shebanova 2002   19  0.3926  0.0015  0.1115  0.5351  0.0826  0.21
Smith 1975   70  0.1972  0.0079  0.0471  0.0481  0.0375  0.03
Sokolov 2002   41  0.2949  0.0052  0.0558  0.0557  0.0464  0.04
Sztompka 1959   33  0.3348  0.0043  0.0741  0.1954  0.0639  0.11
Tomsic 1995   72  0.1752  0.0070  0.0569  0.0577  0.0367  0.04
Uninsky 1932   26  0.3632  0.0022  0.1023  0.4261  0.0536  0.14
Uninsky 1971   59  0.2385  0.0072  0.0562  0.0580  0.0368  0.04
Wasowski 1980   1  0.522  0.262  0.394  0.7513  0.643  0.69
Zak 1937   23  0.3717  0.0117  0.1117  0.5114  0.5511  0.53
Zak 1951   28  0.3468  0.0026  0.0724  0.4218  0.5014  0.46
Average   2  0.5121  0.006  0.245  0.7173  0.0431  0.17
Random 1   83  0.0164  0.0081  0.0382  0.0342  0.1352  0.06
Random 2   88  -0.0534  0.0084  0.0285  0.0273  0.0384  0.02
Random 3   91  -0.0727  0.0091  0.0191  0.0146  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).