Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.2477  0.0051  0.0651  0.0686  0.0276  0.03
Anderszewski 2003   86  0.0178  0.0080  0.0382  0.0384  0.0282  0.02
Ashkenazy 1981   58  0.1645  0.0071  0.0467  0.0481  0.0466  0.04
Bacha 2000   64  0.1583  0.0067  0.0475  0.0485  0.0268  0.03
Badura 1965   82  0.0384  0.0062  0.0461  0.0485  0.0377  0.03
Barbosa 1983   39  0.2561  0.0038  0.0839  0.2758  0.0539  0.12
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   24  0.307  0.0228  0.1027  0.4743  0.1625  0.27
Block 1995   72  0.0962  0.0074  0.0378  0.0387  0.0283  0.02
Blumental 1952   79  0.0663  0.0087  0.0283  0.0287  0.0284  0.02
Boshniakovich 1969   57  0.1751  0.0055  0.0653  0.0679  0.0365  0.04
Brailowsky 1960   69  0.1259  0.0068  0.0474  0.0480  0.0370  0.03
Bunin 1987   34  0.2885  0.0030  0.1429  0.4540  0.1526  0.26
Bunin 1987b   31  0.2856  0.0029  0.1128  0.4639  0.1624  0.27
Chiu 1999   18  0.3626  0.0026  0.1622  0.5368  0.0531  0.16
Cohen 1997   16  0.375  0.0310  0.1613  0.6315  0.568  0.59
Cortot 1951   51  0.2024  0.0046  0.0652  0.0647  0.0652  0.06
Csalog 1996   12  0.412  0.125  0.2417  0.5915  0.5211  0.55
Czerny 1949   3  0.476  0.026  0.175  0.7313  0.744  0.73
Czerny 1990   54  0.1857  0.0060  0.0377  0.0382  0.0378  0.03
Duchoud 2007   5  0.4422  0.008  0.177  0.7122  0.4610  0.57
Ezaki 2006   46  0.2312  0.0116  0.1035  0.3439  0.2223  0.27
Falvay 1989   19  0.3458  0.0024  0.1221  0.5534  0.2119  0.34
Farrell 1958   6  0.4314  0.014  0.214  0.773  0.675  0.72
Ferenczy 1958   71  0.1179  0.0064  0.0559  0.0547  0.0851  0.06
Fliere 1977   63  0.1569  0.0073  0.0472  0.0484  0.0369  0.03
Fou 1978   70  0.1180  0.0078  0.0473  0.0467  0.0459  0.04
Francois 1956   7  0.439  0.013  0.293  0.7911  0.703  0.74
Friedman 1923   59  0.1652  0.0052  0.0946  0.0969  0.0453  0.06
Friedman 1923b   55  0.1733  0.0041  0.0742  0.1661  0.0644  0.10
Friedman 1930   43  0.2446  0.0049  0.0848  0.0866  0.0550  0.06
Garcia 2007   67  0.1343  0.0058  0.0558  0.0581  0.0362  0.04
Garcia 2007b   27  0.3050  0.0044  0.0644  0.1257  0.0647  0.08
Gierzod 1998   90  -0.1886  0.0090  0.0190  0.0190  0.0190  0.01
Gornostaeva 1994   8  0.4315  0.0112  0.179  0.6720  0.597  0.63
Groot 1988   45  0.2487  0.0048  0.0847  0.0879  0.0358  0.05
Harasiewicz 1955   21  0.3270  0.0025  0.1215  0.5964  0.0530  0.17
Hatto 1993   52  0.2027  0.0057  0.0554  0.0582  0.0367  0.04
Hatto 1997   4  0.454  0.0313  0.186  0.7217  0.459  0.57
Horowitz 1949   40  0.2534  0.0035  0.1036  0.3460  0.0536  0.13
Indjic 1988   41  0.2532  0.0050  0.0945  0.0969  0.0548  0.07
Kapell 1951   23  0.3147  0.0031  0.1126  0.5073  0.0532  0.16
Kissin 1993   85  0.0171  0.0082  0.0380  0.0382  0.0374  0.03
Kushner 1989   62  0.1620  0.0066  0.0466  0.0482  0.0372  0.03
Luisada 1991   13  0.3829  0.0018  0.1011  0.6550  0.0728  0.21
Lushtak 2004   61  0.1672  0.0054  0.0555  0.0574  0.0464  0.04
Malcuzynski 1961   84  0.0288  0.0083  0.0285  0.0289  0.0281  0.02
Magaloff 1978   49  0.2164  0.0047  0.0749  0.0764  0.0454  0.05
Magin 1975   68  0.1249  0.0070  0.0468  0.0459  0.0655  0.05
Michalowski 1933   32  0.2860  0.0034  0.1531  0.4558  0.0633  0.16
Milkina 1970   14  0.3725  0.007  0.198  0.7110  0.646  0.67
Mohovich 1999   78  0.0689  0.0081  0.0381  0.0384  0.0285  0.02
Moravec 1969   53  0.1965  0.0045  0.0750  0.0751  0.0549  0.06
Morozova 2008   50  0.2173  0.0053  0.0556  0.0580  0.0361  0.04
Neighaus 1950   9  0.4218  0.009  0.1510  0.6534  0.2818  0.43
Niedzielski 1931   77  0.0644  0.0061  0.0470  0.0483  0.0371  0.03
Ohlsson 1999   22  0.3219  0.0023  0.1424  0.5147  0.0629  0.17
Osinska 1989   1  0.551  0.581  0.571  0.884  0.801  0.84
Pachmann 1927   60  0.1681  0.0063  0.0460  0.0458  0.0656  0.05
Paderewski 1930   75  0.0828  0.0076  0.0463  0.0484  0.0373  0.03
Perlemuter 1992   74  0.0874  0.0086  0.0286  0.0289  0.0280  0.02
Pierdomenico 2008   37  0.2631  0.0040  0.0740  0.2049  0.0640  0.11
Poblocka 1999   33  0.2853  0.0042  0.0741  0.1957  0.0542  0.10
Rabcewiczowa 1932   10  0.428  0.0217  0.1419  0.5725  0.5212  0.54
Rachmaninoff 1923   29  0.3021  0.0033  0.1332  0.4442  0.1427  0.25
Rangell 2001   48  0.2240  0.0036  0.1133  0.4048  0.0635  0.15
Richter 1976   65  0.1454  0.0077  0.0471  0.0480  0.0460  0.04
Rosen 1989   36  0.2741  0.0037  0.1337  0.3364  0.0441  0.11
Rosenthal 1930   56  0.1723  0.0056  0.0557  0.0581  0.0363  0.04
Rosenthal 1931   89  -0.0766  0.0089  0.0289  0.0288  0.0189  0.01
Rosenthal 1931b   88  -0.0255  0.0085  0.0287  0.0287  0.0286  0.02
Rosenthal 1931c   80  0.0475  0.0072  0.0376  0.0385  0.0287  0.02
Rosenthal 1931d   76  0.0790  0.0069  0.0465  0.0469  0.0379  0.03
Rossi 2007   42  0.2438  0.0059  0.0464  0.0434  0.1645  0.08
Rubinstein 1939   17  0.3639  0.0019  0.1112  0.6418  0.3217  0.45
Rubinstein 1952   30  0.2811  0.0122  0.1223  0.5337  0.1721  0.30
Rubinstein 1966   47  0.2282  0.0043  0.0643  0.1250  0.0546  0.08
Schilhawsky 1960   35  0.2735  0.0039  0.0938  0.3137  0.2522  0.28
Shebanova 2002   66  0.1316  0.0079  0.0469  0.0479  0.0375  0.03
Smith 1975   11  0.4110  0.0111  0.1520  0.5619  0.4914  0.52
Sokolov 2002   20  0.3436  0.0021  0.1025  0.5022  0.4116  0.45
Sztompka 1959   73  0.0976  0.0084  0.0284  0.0289  0.0188  0.01
Tomsic 1995   38  0.2567  0.0027  0.1434  0.4046  0.0634  0.15
Uninsky 1932   25  0.3013  0.0132  0.1130  0.4569  0.0437  0.13
Uninsky 1971   15  0.3730  0.0020  0.1318  0.5840  0.1620  0.30
Wasowski 1980   2  0.483  0.072  0.312  0.819  0.682  0.74
Zak 1937   26  0.3037  0.0015  0.1216  0.5925  0.4015  0.49
Zak 1951   28  0.3017  0.0014  0.1414  0.6018  0.4913  0.54
Random 1   83  0.0342  0.0075  0.0379  0.0320  0.3243  0.10
Random 2   81  0.0448  0.0065  0.0462  0.0414  0.4438  0.13
Random 3   87  -0.0268  0.0088  0.0288  0.0237  0.1457  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).