Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   73  0.2628  0.0082  0.0467  0.0459  0.0469  0.04
Anderszewski 2003   77  0.2529  0.0070  0.0377  0.0378  0.0382  0.03
Ashkenazy 1981   10  0.4230  0.0020  0.0818  0.4930  0.3311  0.40
Bacha 2000   79  0.2450  0.0073  0.0383  0.0367  0.0477  0.03
Badura 1965   67  0.2712  0.0038  0.0645  0.1054  0.0451  0.06
Barbosa 1983   11  0.4151  0.0010  0.0913  0.5332  0.2913  0.39
Biret 1990   41  0.3352  0.0034  0.0634  0.2344  0.1429  0.18
Blet 2003   21  0.3731  0.0011  0.1115  0.5217  0.499  0.50
Block 1995   66  0.287  0.0057  0.0555  0.0571  0.0471  0.04
Blumental 1952   48  0.3153  0.0041  0.0543  0.1354  0.0647  0.09
Boshniakovich 1969   26  0.368  0.0029  0.1026  0.3660  0.0536  0.13
Brailowsky 1960   74  0.2613  0.0077  0.0388  0.0378  0.0478  0.03
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.981  1.001  0.991  1.001  1.001  1.00
Chiu 1999   29  0.3515  0.0035  0.0730  0.3040  0.1428  0.20
Cohen 1997   82  0.235  0.0083  0.0466  0.0473  0.0384  0.03
Cortot 1951   87  0.1654  0.0087  0.0387  0.0375  0.0385  0.03
Csalog 1996   35  0.3455  0.0045  0.0744  0.1332  0.1930  0.16
Czerny 1949   58  0.2956  0.0078  0.0378  0.0366  0.0567  0.04
Czerny 1990   18  0.3957  0.0021  0.0819  0.4840  0.1822  0.29
Duchoud 2007   52  0.3032  0.0022  0.1027  0.3518  0.4314  0.39
Ezaki 2006   39  0.3358  0.0032  0.0736  0.2066  0.0543  0.10
Falvay 1989   17  0.3933  0.0014  0.1024  0.4059  0.0531  0.14
Farrell 1958   37  0.3320  0.0033  0.0637  0.2045  0.1033  0.14
Ferenczy 1958   83  0.2216  0.0085  0.0469  0.0472  0.0466  0.04
Fliere 1977   7  0.4459  0.003  0.1711  0.5340  0.2415  0.36
Fou 1978   72  0.2621  0.0076  0.0382  0.0374  0.0380  0.03
Francois 1956   76  0.2560  0.0066  0.0384  0.0347  0.0576  0.04
Friedman 1923   56  0.3061  0.0047  0.0652  0.0632  0.3037  0.13
Friedman 1923b   53  0.3062  0.0046  0.0559  0.0537  0.2942  0.12
Friedman 1930   34  0.3434  0.0019  0.1114  0.5223  0.507  0.51
Garcia 2007   49  0.3163  0.0049  0.0653  0.0638  0.1645  0.10
Garcia 2007b   13  0.4064  0.0012  0.117  0.6012  0.652  0.62
Gierzod 1998   71  0.2665  0.0074  0.0385  0.0378  0.0483  0.03
Gornostaeva 1994   36  0.332  0.0050  0.0650  0.0659  0.0557  0.05
Groot 1988   12  0.416  0.006  0.1521  0.4233  0.2717  0.34
Harasiewicz 1955   60  0.2966  0.0071  0.0376  0.0386  0.0290  0.02
Hatto 1993   22  0.3722  0.0018  0.1612  0.5341  0.1721  0.30
Hatto 1997   28  0.3635  0.0017  0.0917  0.5036  0.2218  0.33
Horowitz 1949   4  0.459  0.0013  0.1216  0.516  0.674  0.58
Indjic 1988   20  0.3823  0.008  0.119  0.5535  0.2812  0.39
Kapell 1951   9  0.4367  0.0016  0.1010  0.5538  0.1819  0.31
Kissin 1993   75  0.2636  0.0075  0.0373  0.0357  0.0663  0.04
Kushner 1989   15  0.4024  0.0026  0.1020  0.4744  0.1026  0.22
Luisada 1991   5  0.4410  0.009  0.116  0.6019  0.476  0.53
Lushtak 2004   31  0.3517  0.0028  0.1022  0.4233  0.2120  0.30
Malcuzynski 1961   3  0.4668  0.004  0.133  0.6923  0.475  0.57
Magaloff 1978   38  0.3369  0.0043  0.0641  0.1452  0.0549  0.08
Magin 1975   32  0.3570  0.0037  0.0638  0.1944  0.1132  0.14
Michalowski 1933   81  0.2371  0.0072  0.0372  0.0364  0.0562  0.04
Milkina 1970   57  0.2937  0.0064  0.0557  0.0565  0.0460  0.04
Mohovich 1999   65  0.2872  0.0065  0.0560  0.0565  0.0472  0.04
Moravec 1969   19  0.3873  0.0031  0.0932  0.2963  0.0538  0.12
Morozova 2008   16  0.3974  0.0015  0.108  0.5631  0.3610  0.45
Neighaus 1950   62  0.2838  0.0059  0.0464  0.0472  0.0474  0.04
Niedzielski 1931   55  0.3039  0.0053  0.0846  0.0841  0.1840  0.12
Ohlsson 1999   43  0.3340  0.0048  0.0654  0.0678  0.0361  0.04
Osinska 1989   46  0.3241  0.0044  0.0642  0.1465  0.0548  0.08
Pachmann 1927   47  0.3175  0.0051  0.0651  0.0634  0.2441  0.12
Paderewski 1930   80  0.2476  0.0068  0.0379  0.0348  0.0755  0.05
Perlemuter 1992   45  0.3277  0.0060  0.0463  0.0456  0.0652  0.05
Pierdomenico 2008   70  0.2678  0.0069  0.0470  0.0448  0.0559  0.04
Poblocka 1999   25  0.3625  0.0036  0.0733  0.2454  0.0639  0.12
Rabcewiczowa 1932   50  0.3179  0.0055  0.0747  0.0748  0.0750  0.07
Rachmaninoff 1923   6  0.4442  0.005  0.165  0.6110  0.573  0.59
Rangell 2001   51  0.3180  0.0058  0.0561  0.0552  0.0658  0.05
Richter 1976   40  0.3343  0.0039  0.0535  0.2247  0.0835  0.13
Rosen 1989   54  0.3026  0.0040  0.0539  0.1654  0.0546  0.09
Rosenthal 1930   68  0.2744  0.0081  0.0468  0.0454  0.0570  0.04
Rosenthal 1931   86  0.1845  0.0086  0.0375  0.0362  0.0481  0.03
Rosenthal 1931b   84  0.2181  0.0084  0.0380  0.0365  0.0486  0.03
Rosenthal 1931c   69  0.2782  0.0067  0.0471  0.0454  0.0575  0.04
Rosenthal 1931d   78  0.2483  0.0080  0.0374  0.0347  0.0673  0.04
Rossi 2007   85  0.1984  0.0079  0.0386  0.0366  0.0479  0.03
Rubinstein 1939   44  0.3314  0.0054  0.0748  0.0762  0.0454  0.05
Rubinstein 1952   63  0.284  0.0061  0.0465  0.0474  0.0387  0.03
Rubinstein 1966   64  0.2885  0.0062  0.0562  0.0581  0.0365  0.04
Schilhawsky 1960   30  0.3546  0.0030  0.1128  0.3321  0.3716  0.35
Shebanova 2002   8  0.433  0.007  0.144  0.6528  0.408  0.51
Smith 1975   88  0.1486  0.0088  0.0381  0.0386  0.0288  0.02
Sokolov 2002   61  0.2987  0.0056  0.0558  0.0556  0.0553  0.05
Sztompka 1959   27  0.3688  0.0052  0.0649  0.0661  0.0556  0.05
Tomsic 1995   42  0.3327  0.0023  0.1031  0.2940  0.1925  0.23
Uninsky 1932   33  0.3589  0.0042  0.0540  0.1648  0.0644  0.10
Uninsky 1971   59  0.2947  0.0063  0.0556  0.0579  0.0364  0.04
Wasowski 1980   14  0.4018  0.0027  0.1123  0.4177  0.0434  0.13
Zak 1937   24  0.3748  0.0025  0.1029  0.3339  0.1724  0.24
Zak 1951   23  0.3711  0.0024  0.1025  0.3733  0.2023  0.27
Average   2  0.5619  0.002  0.672  0.8761  0.0527  0.21
Random 1   90  -0.0390  0.0090  0.0290  0.0279  0.0289  0.02
Random 2   89  0.0391  0.0089  0.0289  0.0246  0.0768  0.04
Random 3   91  -0.0849  0.0091  0.0191  0.0177  0.0291  0.01

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).