Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2257  0.0065  0.0748  0.0781  0.0359  0.05
Anderszewski 2003   76  0.1185  0.0068  0.0478  0.0483  0.0377  0.03
Ashkenazy 1981   39  0.3073  0.0044  0.0743  0.1449  0.0840  0.11
Bacha 2000   86  -0.0477  0.0087  0.0187  0.0187  0.0290  0.01
Badura 1965   64  0.2274  0.0058  0.0564  0.0556  0.0470  0.04
Barbosa 1983   68  0.1975  0.0070  0.0472  0.0480  0.0376  0.03
Biret 1990   13  0.4120  0.006  0.1515  0.5217  0.5910  0.55
Blet 2003   21  0.3760  0.0029  0.0726  0.3950  0.0829  0.18
Block 1995   28  0.3316  0.0139  0.0739  0.1959  0.0543  0.10
Blumental 1952   80  0.0578  0.0081  0.0380  0.0386  0.0285  0.02
Boshniakovich 1969   46  0.2544  0.0055  0.0649  0.0653  0.0653  0.06
Brailowsky 1960   70  0.1855  0.0074  0.0651  0.0666  0.0555  0.05
Bunin 1987   44  0.2868  0.0033  0.0830  0.3241  0.1524  0.22
Bunin 1987b   41  0.2869  0.0032  0.0729  0.3240  0.1522  0.22
Chiu 1999   2  0.504  0.074  0.333  0.7620  0.604  0.68
Cohen 1997   48  0.2532  0.0072  0.0562  0.0564  0.0372  0.04
Cortot 1951   59  0.2230  0.0075  0.0746  0.0765  0.0462  0.05
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   75  0.1486  0.0066  0.0471  0.0449  0.0758  0.05
Czerny 1990   49  0.2539  0.0048  0.0654  0.0648  0.0848  0.07
Duchoud 2007   4  0.501  0.291  0.291  0.793  0.751  0.77
Ezaki 2006   81  0.0279  0.0088  0.0188  0.0190  0.0189  0.01
Falvay 1989   55  0.2454  0.0024  0.0835  0.2148  0.0637  0.11
Farrell 1958   15  0.4127  0.0013  0.129  0.596  0.586  0.58
Ferenczy 1958   84  -0.0380  0.0089  0.0189  0.0184  0.0382  0.02
Fliere 1977   6  0.4714  0.0111  0.138  0.6143  0.3016  0.43
Fou 1978   53  0.2445  0.0056  0.0652  0.0682  0.0364  0.04
Francois 1956   72  0.1681  0.0076  0.0476  0.0483  0.0280  0.03
Friedman 1923   8  0.4523  0.008  0.106  0.6428  0.508  0.57
Friedman 1923b   9  0.4512  0.019  0.127  0.6425  0.537  0.58
Friedman 1930   23  0.3740  0.0034  0.0831  0.3245  0.1128  0.19
Garcia 2007   66  0.2052  0.0057  0.0650  0.0668  0.0560  0.05
Garcia 2007b   57  0.2318  0.0147  0.0653  0.0650  0.0754  0.06
Gierzod 1998   85  -0.0376  0.0085  0.0286  0.0287  0.0284  0.02
Gornostaeva 1994   29  0.3324  0.0040  0.0644  0.1446  0.0841  0.11
Groot 1988   24  0.3649  0.0037  0.0932  0.3165  0.0636  0.14
Harasiewicz 1955   16  0.4034  0.0036  0.0928  0.3445  0.0734  0.15
Hatto 1993   51  0.2472  0.0062  0.0658  0.0667  0.0561  0.05
Hatto 1997   65  0.2161  0.0064  0.0563  0.0581  0.0369  0.04
Horowitz 1949   38  0.3015  0.0143  0.0742  0.1568  0.0545  0.09
Indjic 1988   60  0.2253  0.0061  0.0475  0.0452  0.0851  0.06
Kapell 1951   63  0.2287  0.0052  0.0559  0.0552  0.0750  0.06
Kissin 1993   42  0.288  0.0218  0.1021  0.4438  0.3319  0.38
Kushner 1989   45  0.2713  0.0127  0.0737  0.2043  0.1430  0.17
Luisada 1991   17  0.3919  0.0119  0.0817  0.5039  0.2720  0.37
Lushtak 2004   56  0.2310  0.0253  0.0567  0.0544  0.0947  0.07
Malcuzynski 1961   62  0.2256  0.0054  0.0566  0.0556  0.0557  0.05
Magaloff 1978   14  0.4122  0.0015  0.1213  0.5626  0.4313  0.49
Magin 1975   37  0.3137  0.0046  0.0747  0.0746  0.1046  0.08
Michalowski 1933   3  0.503  0.113  0.272  0.773  0.722  0.74
Milkina 1970   77  0.1064  0.0059  0.0565  0.0568  0.0365  0.04
Mohovich 1999   74  0.1535  0.0073  0.0560  0.0574  0.0371  0.04
Moravec 1969   52  0.2482  0.0049  0.0845  0.0867  0.0449  0.06
Morozova 2008   31  0.3341  0.0035  0.0833  0.2668  0.0442  0.10
Neighaus 1950   20  0.3858  0.0026  0.0820  0.4463  0.0533  0.15
Niedzielski 1931   34  0.3265  0.0031  0.0727  0.3958  0.0632  0.15
Ohlsson 1999   12  0.4136  0.0017  0.1019  0.4540  0.1123  0.22
Osinska 1989   5  0.506  0.035  0.325  0.6510  0.685  0.66
Pachmann 1927   11  0.455  0.047  0.1011  0.5820  0.549  0.56
Paderewski 1930   47  0.2528  0.0030  0.0736  0.2143  0.2125  0.21
Perlemuter 1992   36  0.3138  0.0038  0.0738  0.2043  0.1331  0.16
Pierdomenico 2008   26  0.3583  0.0041  0.0741  0.1756  0.0544  0.09
Poblocka 1999   19  0.3811  0.0120  0.0818  0.4723  0.3917  0.43
Rabcewiczowa 1932   73  0.1688  0.0077  0.0473  0.0470  0.0375  0.03
Rachmaninoff 1923   35  0.3129  0.0022  0.1125  0.4027  0.4118  0.40
Rangell 2001   67  0.1942  0.0060  0.0474  0.0475  0.0473  0.04
Richter 1976   7  0.4546  0.0010  0.1012  0.5737  0.4312  0.50
Rosen 1989   10  0.459  0.0212  0.1210  0.5834  0.3515  0.45
Rosenthal 1930   79  0.0766  0.0079  0.0477  0.0484  0.0378  0.03
Rosenthal 1931   89  -0.0589  0.0086  0.0285  0.0286  0.0281  0.02
Rosenthal 1931b   83  -0.0390  0.0082  0.0282  0.0286  0.0288  0.02
Rosenthal 1931c   78  0.0843  0.0067  0.0379  0.0373  0.0379  0.03
Rosenthal 1931d   88  -0.0570  0.0084  0.0283  0.0288  0.0287  0.02
Rossi 2007   30  0.3359  0.0045  0.0656  0.063  0.6927  0.20
Rubinstein 1939   33  0.3221  0.0023  0.0924  0.4019  0.3221  0.36
Rubinstein 1952   50  0.2562  0.0050  0.0655  0.0654  0.0563  0.05
Rubinstein 1966   43  0.287  0.0228  0.0834  0.2656  0.0539  0.11
Schilhawsky 1960   54  0.2450  0.0063  0.0569  0.0571  0.0468  0.04
Shebanova 2002   18  0.3925  0.0014  0.1114  0.5350  0.0826  0.21
Smith 1975   69  0.1971  0.0078  0.0470  0.0480  0.0374  0.03
Sokolov 2002   40  0.2948  0.0051  0.0657  0.0656  0.0456  0.05
Sztompka 1959   32  0.3347  0.0042  0.0740  0.1953  0.0638  0.11
Tomsic 1995   71  0.1751  0.0069  0.0568  0.0576  0.0366  0.04
Uninsky 1932   25  0.3631  0.0021  0.1022  0.4260  0.0535  0.14
Uninsky 1971   58  0.2384  0.0071  0.0561  0.0579  0.0367  0.04
Wasowski 1980   1  0.522  0.262  0.394  0.7512  0.643  0.69
Zak 1937   22  0.3717  0.0116  0.1116  0.5113  0.5511  0.53
Zak 1951   27  0.3467  0.0025  0.0723  0.4217  0.5014  0.46
Random 1   82  0.0163  0.0080  0.0381  0.0342  0.1252  0.06
Random 2   87  -0.0533  0.0083  0.0284  0.0272  0.0383  0.02
Random 3   90  -0.0726  0.0090  0.0190  0.0145  0.0586  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).