Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2628  0.0081  0.0466  0.0458  0.0570  0.04
Anderszewski 2003   76  0.2529  0.0069  0.0376  0.0377  0.0381  0.03
Ashkenazy 1981   9  0.4215  0.0019  0.0917  0.4929  0.3311  0.40
Bacha 2000   78  0.2449  0.0072  0.0382  0.0366  0.0476  0.03
Badura 1965   66  0.2712  0.0037  0.0644  0.1053  0.0450  0.06
Barbosa 1983   10  0.4150  0.009  0.0912  0.5331  0.2913  0.39
Biret 1990   40  0.3351  0.0033  0.0633  0.2343  0.1428  0.18
Blet 2003   20  0.3730  0.0010  0.1114  0.5216  0.499  0.50
Block 1995   65  0.287  0.0056  0.0654  0.0670  0.0457  0.05
Blumental 1952   47  0.3152  0.0040  0.0542  0.1353  0.0646  0.09
Boshniakovich 1969   25  0.368  0.0028  0.1025  0.3659  0.0535  0.13
Brailowsky 1960   73  0.2613  0.0076  0.0387  0.0377  0.0477  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   28  0.3516  0.0034  0.0729  0.3039  0.1427  0.20
Cohen 1997   81  0.235  0.0082  0.0465  0.0472  0.0383  0.03
Cortot 1951   86  0.1653  0.0086  0.0386  0.0374  0.0384  0.03
Csalog 1996   34  0.3454  0.0044  0.0743  0.1331  0.1929  0.16
Czerny 1949   57  0.2955  0.0077  0.0377  0.0365  0.0568  0.04
Czerny 1990   17  0.3956  0.0020  0.0818  0.4839  0.1822  0.29
Duchoud 2007   51  0.3031  0.0021  0.1026  0.3517  0.4314  0.39
Ezaki 2006   38  0.3357  0.0031  0.0735  0.2065  0.0542  0.10
Falvay 1989   16  0.3932  0.0013  0.1023  0.4058  0.0532  0.14
Farrell 1958   36  0.3320  0.0032  0.0636  0.2044  0.1130  0.15
Ferenczy 1958   82  0.2217  0.0084  0.0468  0.0471  0.0467  0.04
Fliere 1977   6  0.4458  0.002  0.1710  0.5339  0.2415  0.36
Fou 1978   71  0.2621  0.0075  0.0381  0.0373  0.0379  0.03
Francois 1956   75  0.2559  0.0065  0.0383  0.0346  0.0575  0.04
Friedman 1923   55  0.3060  0.0046  0.0651  0.0631  0.3036  0.13
Friedman 1923b   52  0.3061  0.0045  0.0558  0.0536  0.2941  0.12
Friedman 1930   33  0.3433  0.0018  0.1113  0.5222  0.507  0.51
Garcia 2007   48  0.3162  0.0048  0.0652  0.0637  0.1644  0.10
Garcia 2007b   12  0.4063  0.0011  0.126  0.6011  0.652  0.62
Gierzod 1998   70  0.2664  0.0073  0.0384  0.0377  0.0482  0.03
Gornostaeva 1994   35  0.332  0.0049  0.0649  0.0658  0.0558  0.05
Groot 1988   11  0.416  0.005  0.1520  0.4232  0.2717  0.34
Harasiewicz 1955   59  0.2965  0.0070  0.0375  0.0385  0.0289  0.02
Hatto 1993   21  0.3722  0.0017  0.1611  0.5340  0.1721  0.30
Hatto 1997   27  0.3634  0.0016  0.0916  0.5035  0.2218  0.33
Horowitz 1949   3  0.459  0.0012  0.1215  0.515  0.674  0.58
Indjic 1988   19  0.3823  0.007  0.118  0.5534  0.2812  0.39
Kapell 1951   8  0.4366  0.0015  0.109  0.5537  0.1819  0.31
Kissin 1993   74  0.2635  0.0074  0.0372  0.0356  0.0664  0.04
Kushner 1989   14  0.4024  0.0025  0.1019  0.4743  0.1026  0.22
Luisada 1991   4  0.4410  0.008  0.115  0.6018  0.476  0.53
Lushtak 2004   30  0.3518  0.0027  0.1021  0.4232  0.2120  0.30
Malcuzynski 1961   2  0.4667  0.003  0.132  0.6922  0.475  0.57
Magaloff 1978   37  0.3368  0.0042  0.0640  0.1451  0.0548  0.08
Magin 1975   31  0.3569  0.0036  0.0637  0.1943  0.1133  0.14
Michalowski 1933   80  0.2370  0.0071  0.0371  0.0363  0.0663  0.04
Milkina 1970   56  0.2936  0.0063  0.0556  0.0564  0.0461  0.04
Mohovich 1999   64  0.2871  0.0064  0.0559  0.0564  0.0471  0.04
Moravec 1969   18  0.3872  0.0030  0.0931  0.2962  0.0537  0.12
Morozova 2008   15  0.3973  0.0014  0.107  0.5630  0.3610  0.45
Neighaus 1950   61  0.2837  0.0058  0.0463  0.0471  0.0473  0.04
Niedzielski 1931   54  0.3038  0.0052  0.0845  0.0840  0.1839  0.12
Ohlsson 1999   42  0.3339  0.0047  0.0653  0.0677  0.0362  0.04
Osinska 1989   45  0.3240  0.0043  0.0641  0.1464  0.0547  0.08
Pachmann 1927   46  0.3174  0.0050  0.0650  0.0633  0.2440  0.12
Paderewski 1930   79  0.2475  0.0067  0.0378  0.0347  0.0754  0.05
Perlemuter 1992   44  0.3276  0.0059  0.0462  0.0455  0.0651  0.05
Pierdomenico 2008   69  0.2677  0.0068  0.0469  0.0447  0.0560  0.04
Poblocka 1999   24  0.3625  0.0035  0.0732  0.2453  0.0638  0.12
Rabcewiczowa 1932   49  0.3178  0.0054  0.0746  0.0747  0.0749  0.07
Rachmaninoff 1923   5  0.4441  0.004  0.164  0.619  0.573  0.59
Rangell 2001   50  0.3179  0.0057  0.0560  0.0551  0.0659  0.05
Richter 1976   39  0.3342  0.0038  0.0534  0.2246  0.0834  0.13
Rosen 1989   53  0.3026  0.0039  0.0538  0.1653  0.0545  0.09
Rosenthal 1930   67  0.2743  0.0080  0.0467  0.0453  0.0656  0.05
Rosenthal 1931   85  0.1844  0.0085  0.0374  0.0361  0.0480  0.03
Rosenthal 1931b   83  0.2180  0.0083  0.0379  0.0364  0.0485  0.03
Rosenthal 1931c   68  0.2781  0.0066  0.0470  0.0453  0.0574  0.04
Rosenthal 1931d   77  0.2482  0.0079  0.0373  0.0346  0.0672  0.04
Rossi 2007   84  0.1983  0.0078  0.0385  0.0365  0.0478  0.03
Rubinstein 1939   43  0.3314  0.0053  0.0747  0.0761  0.0453  0.05
Rubinstein 1952   62  0.284  0.0060  0.0464  0.0473  0.0386  0.03
Rubinstein 1966   63  0.2884  0.0061  0.0561  0.0580  0.0366  0.04
Schilhawsky 1960   29  0.3545  0.0029  0.1127  0.3320  0.3716  0.35
Shebanova 2002   7  0.433  0.006  0.143  0.6527  0.408  0.51
Smith 1975   87  0.1485  0.0087  0.0380  0.0385  0.0287  0.02
Sokolov 2002   60  0.2986  0.0055  0.0557  0.0555  0.0552  0.05
Sztompka 1959   26  0.3687  0.0051  0.0648  0.0660  0.0555  0.05
Tomsic 1995   41  0.3327  0.0022  0.1030  0.2939  0.1925  0.23
Uninsky 1932   32  0.3588  0.0041  0.0539  0.1647  0.0643  0.10
Uninsky 1971   58  0.2946  0.0062  0.0555  0.0578  0.0365  0.04
Wasowski 1980   13  0.4019  0.0026  0.1122  0.4176  0.0531  0.14
Zak 1937   23  0.3747  0.0024  0.1028  0.3338  0.1724  0.24
Zak 1951   22  0.3711  0.0023  0.1024  0.3732  0.2023  0.27
Random 1   89  -0.0389  0.0089  0.0289  0.0279  0.0288  0.02
Random 2   88  0.0390  0.0088  0.0288  0.0246  0.0769  0.04
Random 3   90  -0.0848  0.0090  0.0190  0.0177  0.0290  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).