Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.4463  0.0044  0.0743  0.1310  0.5236  0.26
Anderszewski 2003   44  0.4577  0.0047  0.0657  0.0659  0.0662  0.06
Ashkenazy 1981   70  0.3521  0.0078  0.0383  0.0357  0.0387  0.03
Bacha 2000   48  0.4438  0.0049  0.0564  0.0511  0.4944  0.16
Badura 1965   78  0.2964  0.0076  0.0384  0.0373  0.0386  0.03
Barbosa 1983   3  0.6123  0.003  0.193  0.7410  0.653  0.69
Biret 1990   9  0.5869  0.008  0.125  0.726  0.588  0.65
Blet 2003   61  0.3839  0.0043  0.0644  0.1219  0.3040  0.19
Block 1995   34  0.4980  0.0030  0.0925  0.4712  0.5425  0.50
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   51  0.4368  0.0055  0.0651  0.0658  0.0666  0.06
Brailowsky 1960   2  0.653  0.062  0.262  0.761  0.761  0.76
Bunin 1987   55  0.4073  0.0063  0.0655  0.0659  0.0572  0.05
Bunin 1987b   63  0.3870  0.0065  0.0571  0.0558  0.0568  0.05
Chiu 1999   57  0.4045  0.0060  0.0650  0.0630  0.2452  0.12
Cohen 1997   72  0.3574  0.0069  0.0652  0.0625  0.2255  0.11
Cortot 1951   60  0.3954  0.0038  0.0741  0.179  0.6233  0.32
Csalog 1996   53  0.4160  0.0037  0.0737  0.2332  0.2337  0.23
Czerny 1949   49  0.4382  0.0048  0.0565  0.0560  0.0670  0.05
Czerny 1990   13  0.574  0.054  0.144  0.7322  0.654  0.69
Duchoud 2007   88  0.1065  0.0088  0.0288  0.0289  0.0290  0.02
Ezaki 2006   4  0.602  0.085  0.1411  0.6618  0.5313  0.59
Falvay 1989   7  0.5813  0.0115  0.098  0.7022  0.559  0.62
Farrell 1958   64  0.3771  0.0068  0.0566  0.0570  0.0476  0.04
Ferenczy 1958   17  0.557  0.0219  0.1314  0.604  0.746  0.67
Fliere 1977   11  0.5717  0.0111  0.1316  0.5821  0.4619  0.52
Fou 1978   22  0.5437  0.0029  0.0724  0.4727  0.3231  0.39
Francois 1956   80  0.2872  0.0077  0.0381  0.0368  0.0489  0.03
Friedman 1923   68  0.3635  0.0067  0.0846  0.0827  0.3346  0.16
Friedman 1923b   67  0.3643  0.0066  0.0653  0.0628  0.3649  0.15
Friedman 1930   69  0.3555  0.0058  0.0559  0.0523  0.3851  0.14
Garcia 2007   79  0.2878  0.0080  0.0476  0.0451  0.0580  0.04
Garcia 2007b   76  0.3352  0.0075  0.0479  0.0477  0.0481  0.04
Gierzod 1998   23  0.5319  0.0122  0.1123  0.4843  0.1934  0.30
Gornostaeva 1994   43  0.4559  0.0052  0.0570  0.0541  0.1059  0.07
Groot 1988   24  0.5326  0.0021  0.1415  0.588  0.5418  0.56
Harasiewicz 1955   19  0.5541  0.0020  0.1519  0.5531  0.4326  0.49
Hatto 1993   5  0.5914  0.019  0.137  0.709  0.627  0.66
Hatto 1997   10  0.5747  0.0016  0.1210  0.6710  0.5511  0.61
Horowitz 1949   65  0.3724  0.0050  0.0562  0.059  0.5445  0.16
Indjic 1988   12  0.5729  0.0017  0.1213  0.6312  0.5614  0.59
Kapell 1951   37  0.4756  0.0039  0.0640  0.1756  0.0656  0.10
Kissin 1993   66  0.3666  0.0074  0.0477  0.0456  0.0578  0.04
Kushner 1989   36  0.4846  0.0034  0.1035  0.3157  0.0553  0.12
Luisada 1991   21  0.548  0.0224  0.1120  0.554  0.6512  0.60
Lushtak 2004   50  0.4385  0.0059  0.0561  0.0558  0.0571  0.05
Malcuzynski 1961   38  0.4618  0.0135  0.0936  0.2851  0.0750  0.14
Magaloff 1978   18  0.5531  0.0026  0.0930  0.4415  0.5028  0.47
Magin 1975   42  0.4686  0.0053  0.0656  0.0651  0.0567  0.05
Michalowski 1933   86  0.1879  0.0086  0.0385  0.0350  0.0485  0.03
Milkina 1970   15  0.5627  0.0012  0.0912  0.6531  0.3823  0.50
Mohovich 1999   14  0.579  0.026  0.1221  0.5421  0.4921  0.51
Moravec 1969   8  0.5834  0.0010  0.126  0.714  0.672  0.69
Morozova 2008   71  0.3540  0.0070  0.0567  0.0562  0.0569  0.05
Neighaus 1950   81  0.2583  0.0081  0.0387  0.0370  0.0488  0.03
Niedzielski 1931   75  0.3312  0.0151  0.0569  0.059  0.4547  0.15
Ohlsson 1999   77  0.3087  0.0079  0.0475  0.0477  0.0384  0.03
Osinska 1989   30  0.5016  0.0127  0.0931  0.4446  0.0839  0.19
Pachmann 1927   85  0.2288  0.0087  0.0478  0.0463  0.0383  0.03
Paderewski 1930   87  0.1248  0.0083  0.0380  0.0339  0.1658  0.07
Perlemuter 1992   83  0.2458  0.0082  0.0386  0.0352  0.0574  0.04
Pierdomenico 2008   84  0.2389  0.0084  0.0382  0.0372  0.0382  0.03
Poblocka 1999   6  0.586  0.037  0.1822  0.5115  0.5022  0.50
Rabcewiczowa 1932   35  0.485  0.0313  0.0927  0.4712  0.4529  0.46
Rachmaninoff 1923   16  0.5620  0.0114  0.099  0.685  0.675  0.67
Rangell 2001   73  0.3453  0.0073  0.0474  0.0461  0.0673  0.05
Richter 1976   59  0.3933  0.0064  0.0473  0.0449  0.0577  0.04
Rosen 1989   39  0.4622  0.0033  0.1033  0.3518  0.4730  0.41
Rosenthal 1930   29  0.5057  0.0031  0.1126  0.478  0.6816  0.57
Rosenthal 1931   54  0.4067  0.0056  0.0654  0.0614  0.4843  0.17
Rosenthal 1931b   56  0.4050  0.0062  0.0658  0.0611  0.5442  0.18
Rosenthal 1931c   33  0.4932  0.0032  0.0932  0.416  0.6620  0.52
Rosenthal 1931d   45  0.4461  0.0040  0.0638  0.1910  0.5932  0.33
Rossi 2007   82  0.2581  0.0085  0.0472  0.0466  0.0475  0.04
Rubinstein 1939   52  0.4262  0.0061  0.0748  0.0749  0.0560  0.06
Rubinstein 1952   28  0.5044  0.0036  0.0834  0.3343  0.1538  0.22
Rubinstein 1966   47  0.4475  0.0054  0.0749  0.0763  0.0563  0.06
Schilhawsky 1960   25  0.5225  0.0025  0.1129  0.4411  0.5624  0.50
Shebanova 2002   40  0.4610  0.0142  0.0642  0.1431  0.2741  0.19
Smith 1975   26  0.5215  0.0128  0.0728  0.4515  0.5227  0.48
Sokolov 2002   41  0.4630  0.0041  0.0639  0.1717  0.5035  0.29
Sztompka 1959   58  0.3911  0.0157  0.0560  0.0540  0.2257  0.10
Tomsic 1995   62  0.3884  0.0071  0.0563  0.0554  0.0761  0.06
Uninsky 1932   74  0.3442  0.0072  0.0568  0.0546  0.0864  0.06
Uninsky 1971   20  0.5428  0.0018  0.1317  0.5712  0.5915  0.58
Wasowski 1980   27  0.5236  0.0023  0.1418  0.579  0.5517  0.56
Zak 1937   32  0.5049  0.0045  0.0545  0.1036  0.2448  0.15
Zak 1951   31  0.5051  0.0046  0.0847  0.0837  0.1554  0.11
Average   1  0.691  0.541  0.541  0.8528  0.4410  0.61
Random 1   90  -0.0790  0.0090  0.0289  0.0237  0.2065  0.06
Random 2   89  0.0391  0.0089  0.0190  0.0135  0.1679  0.04
Random 3   91  -0.0976  0.0091  0.0191  0.0182  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).