Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   80  0.2387  0.0081  0.0386  0.0369  0.0484  0.03
Anderszewski 2003   32  0.429  0.0215  0.1115  0.4112  0.6112  0.50
Ashkenazy 1981   46  0.3952  0.0063  0.0848  0.0858  0.0664  0.07
Bacha 2000   57  0.3628  0.0043  0.0542  0.0915  0.4938  0.21
Badura 1965   77  0.2573  0.0073  0.0472  0.0479  0.0385  0.03
Barbosa 1983   5  0.513  0.122  0.225  0.584  0.694  0.63
Biret 1990   51  0.3844  0.0061  0.0653  0.0636  0.2655  0.12
Blet 2003   49  0.3947  0.0050  0.0750  0.0720  0.4743  0.18
Block 1995   45  0.3942  0.0026  0.0632  0.2331  0.3037  0.26
Blumental 1952   30  0.4215  0.0137  0.0734  0.2120  0.4930  0.32
Boshniakovich 1969   36  0.4138  0.0028  0.0725  0.3128  0.3131  0.31
Brailowsky 1960   72  0.2761  0.0076  0.0473  0.0451  0.0668  0.05
Bunin 1987   29  0.4345  0.0038  0.0737  0.189  0.5533  0.31
Bunin 1987b   23  0.4454  0.0032  0.0828  0.293  0.6121  0.42
Chiu 1999   11  0.478  0.0211  0.1518  0.3915  0.5018  0.44
Cohen 1997   78  0.2419  0.0177  0.0383  0.0382  0.0386  0.03
Cortot 1951   82  0.2267  0.0072  0.0476  0.0444  0.1265  0.07
Csalog 1996   50  0.3816  0.0124  0.0531  0.2415  0.4329  0.32
Czerny 1949   63  0.347  0.0240  0.0443  0.0929  0.4940  0.21
Czerny 1990   1  0.581  0.411  0.401  0.792  0.851  0.82
Duchoud 2007   47  0.3946  0.0052  0.0749  0.0710  0.5441  0.19
Ezaki 2006   66  0.3217  0.0157  0.0566  0.0555  0.0766  0.06
Falvay 1989   16  0.4665  0.0027  0.0623  0.3321  0.3828  0.35
Farrell 1958   42  0.4035  0.0016  0.1324  0.325  0.5919  0.43
Ferenczy 1958   83  0.1990  0.0085  0.0478  0.0468  0.0478  0.04
Fliere 1977   13  0.4724  0.0013  0.1213  0.4431  0.3525  0.39
Fou 1978   15  0.4639  0.0014  0.1411  0.508  0.647  0.57
Francois 1956   74  0.2751  0.0075  0.0656  0.0664  0.0473  0.05
Friedman 1923   70  0.2862  0.0070  0.0563  0.0550  0.0767  0.06
Friedman 1923b   68  0.2948  0.0069  0.0567  0.0551  0.0671  0.05
Friedman 1930   64  0.3431  0.0065  0.0945  0.0959  0.0561  0.07
Garcia 2007   28  0.4336  0.0029  0.0726  0.319  0.5920  0.43
Garcia 2007b   26  0.4376  0.0019  0.0722  0.349  0.6714  0.48
Gierzod 1998   69  0.2985  0.0066  0.0565  0.0569  0.0569  0.05
Gornostaeva 1994   60  0.3637  0.0059  0.0571  0.0538  0.1758  0.09
Groot 1988   48  0.3955  0.0055  0.0657  0.0683  0.0381  0.04
Harasiewicz 1955   6  0.5120  0.009  0.1210  0.5117  0.4913  0.50
Hatto 1993   10  0.496  0.038  0.128  0.5312  0.599  0.56
Hatto 1997   14  0.4650  0.0017  0.1314  0.4213  0.5316  0.47
Horowitz 1949   55  0.3740  0.0045  0.0475  0.0437  0.2956  0.11
Indjic 1988   8  0.5029  0.0010  0.159  0.5210  0.638  0.57
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   20  0.4568  0.0031  0.1030  0.2815  0.6422  0.42
Kushner 1989   9  0.495  0.047  0.177  0.5415  0.5211  0.53
Luisada 1991   41  0.4060  0.0062  0.0751  0.0749  0.0760  0.07
Lushtak 2004   40  0.4071  0.0051  0.0847  0.0827  0.3249  0.16
Malcuzynski 1961   22  0.4414  0.0130  0.0821  0.3527  0.4426  0.39
Magaloff 1978   65  0.3384  0.0067  0.0562  0.0573  0.0375  0.04
Magin 1975   35  0.4134  0.0033  0.0633  0.2223  0.4234  0.30
Michalowski 1933   76  0.2777  0.0071  0.0474  0.0437  0.2157  0.09
Milkina 1970   27  0.4312  0.0120  0.0916  0.4020  0.5515  0.47
Mohovich 1999   37  0.4130  0.0025  0.0529  0.2832  0.3532  0.31
Moravec 1969   19  0.4553  0.0036  0.0636  0.2130  0.3236  0.26
Morozova 2008   33  0.4232  0.0018  0.0917  0.4013  0.5317  0.46
Neighaus 1950   67  0.3182  0.0068  0.0655  0.0657  0.0572  0.05
Niedzielski 1931   56  0.3623  0.0039  0.0541  0.0921  0.3642  0.18
Ohlsson 1999   61  0.3580  0.0054  0.0561  0.0565  0.0477  0.04
Osinska 1989   39  0.4058  0.0035  0.0638  0.1742  0.1645  0.16
Pachmann 1927   59  0.3641  0.0058  0.0568  0.0518  0.4750  0.15
Paderewski 1930   75  0.2781  0.0074  0.0659  0.0644  0.1259  0.08
Perlemuter 1992   73  0.2772  0.0079  0.0479  0.0468  0.0574  0.04
Pierdomenico 2008   54  0.3757  0.0047  0.0560  0.0516  0.5047  0.16
Poblocka 1999   12  0.4743  0.0012  0.1212  0.486  0.6310  0.55
Rabcewiczowa 1932   53  0.3779  0.0060  0.0564  0.0535  0.3154  0.12
Rachmaninoff 1923   52  0.3856  0.0056  0.0652  0.0635  0.2453  0.12
Rangell 2001   25  0.4313  0.0148  0.0654  0.0620  0.5044  0.17
Richter 1976   3  0.5325  0.004  0.182  0.655  0.762  0.70
Rosen 1989   44  0.3964  0.0053  0.0569  0.0563  0.0480  0.04
Rosenthal 1930   71  0.2883  0.0078  0.0382  0.0354  0.0579  0.04
Rosenthal 1931   86  0.1778  0.0086  0.0387  0.0365  0.0483  0.03
Rosenthal 1931b   87  0.1686  0.0087  0.0384  0.0375  0.0388  0.03
Rosenthal 1931c   81  0.2389  0.0083  0.0380  0.0384  0.0290  0.02
Rosenthal 1931d   84  0.1859  0.0084  0.0385  0.0367  0.0487  0.03
Rossi 2007   85  0.1888  0.0080  0.0381  0.0364  0.0482  0.03
Rubinstein 1939   43  0.3963  0.0034  0.0635  0.2121  0.4135  0.29
Rubinstein 1952   7  0.504  0.066  0.183  0.615  0.673  0.64
Rubinstein 1966   4  0.5210  0.025  0.184  0.5911  0.635  0.61
Schilhawsky 1960   58  0.3622  0.0049  0.0658  0.0611  0.4548  0.16
Shebanova 2002   24  0.4418  0.0144  0.0446  0.0858  0.0662  0.07
Smith 1975   79  0.2475  0.0082  0.0477  0.0468  0.0476  0.04
Sokolov 2002   62  0.3466  0.0064  0.1040  0.1036  0.2746  0.16
Sztompka 1959   34  0.4169  0.0046  0.0570  0.0528  0.3851  0.14
Tomsic 1995   31  0.4227  0.0041  0.0439  0.1121  0.3939  0.21
Uninsky 1932   17  0.4633  0.0023  0.0527  0.3014  0.5424  0.40
Uninsky 1971   38  0.4026  0.0042  0.0544  0.0939  0.1952  0.13
Wasowski 1980   2  0.532  0.123  0.206  0.564  0.636  0.59
Zak 1937   18  0.4511  0.0121  0.0719  0.3715  0.4623  0.41
Zak 1951   21  0.4421  0.0022  0.0720  0.3520  0.4327  0.39
Random 1   89  -0.0270  0.0088  0.0288  0.0231  0.2663  0.07
Random 2   88  0.0249  0.0090  0.0190  0.0149  0.0589  0.02
Random 3   90  -0.0374  0.0089  0.0189  0.0121  0.3070  0.05

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).