Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.4464  0.0043  0.0742  0.139  0.5235  0.26
Anderszewski 2003   43  0.4576  0.0046  0.0656  0.0658  0.0661  0.06
Ashkenazy 1981   69  0.3522  0.0177  0.0382  0.0356  0.0386  0.03
Bacha 2000   47  0.4441  0.0048  0.0563  0.0510  0.4943  0.16
Badura 1965   77  0.2965  0.0075  0.0383  0.0372  0.0385  0.03
Barbosa 1983   2  0.612  0.122  0.202  0.749  0.653  0.69
Biret 1990   8  0.5821  0.017  0.124  0.725  0.588  0.65
Blet 2003   60  0.3842  0.0042  0.0643  0.1218  0.3039  0.19
Block 1995   33  0.4979  0.0029  0.1024  0.4711  0.5424  0.50
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   50  0.4360  0.0054  0.0650  0.0657  0.0665  0.06
Brailowsky 1960   1  0.651  0.261  0.261  0.761  0.761  0.76
Bunin 1987   54  0.4072  0.0062  0.0654  0.0658  0.0572  0.05
Bunin 1987b   62  0.3869  0.0064  0.0570  0.0557  0.0567  0.05
Chiu 1999   56  0.4047  0.0059  0.0649  0.0629  0.2451  0.12
Cohen 1997   71  0.3573  0.0068  0.0651  0.0624  0.2255  0.11
Cortot 1951   59  0.3937  0.0037  0.0740  0.178  0.6232  0.32
Csalog 1996   52  0.4162  0.0036  0.0736  0.2331  0.2336  0.23
Czerny 1949   48  0.4381  0.0047  0.0564  0.0559  0.0670  0.05
Czerny 1990   12  0.575  0.063  0.143  0.7321  0.654  0.69
Duchoud 2007   87  0.1066  0.0087  0.0287  0.0288  0.0289  0.02
Ezaki 2006   3  0.603  0.104  0.1410  0.6617  0.5312  0.59
Falvay 1989   6  0.5812  0.0214  0.097  0.7021  0.559  0.62
Farrell 1958   63  0.3770  0.0067  0.0565  0.0569  0.0476  0.04
Ferenczy 1958   16  0.559  0.0218  0.1313  0.603  0.746  0.67
Fliere 1977   10  0.578  0.0410  0.1315  0.5820  0.4618  0.52
Fou 1978   21  0.5439  0.0028  0.0723  0.4726  0.3230  0.39
Francois 1956   79  0.2871  0.0076  0.0380  0.0367  0.0488  0.03
Friedman 1923   67  0.3636  0.0066  0.0845  0.0826  0.3345  0.16
Friedman 1923b   66  0.3646  0.0065  0.0652  0.0627  0.3649  0.15
Friedman 1930   68  0.3557  0.0057  0.0658  0.0622  0.3848  0.15
Garcia 2007   78  0.2877  0.0079  0.0475  0.0450  0.0579  0.04
Garcia 2007b   75  0.3350  0.0074  0.0478  0.0476  0.0480  0.04
Gierzod 1998   22  0.5318  0.0121  0.1122  0.4842  0.1933  0.30
Gornostaeva 1994   42  0.4555  0.0051  0.0569  0.0540  0.1058  0.07
Groot 1988   23  0.5324  0.0020  0.1414  0.587  0.5417  0.56
Harasiewicz 1955   18  0.5538  0.0019  0.1518  0.5530  0.4325  0.49
Hatto 1993   4  0.5911  0.028  0.146  0.708  0.627  0.66
Hatto 1997   9  0.5749  0.0015  0.129  0.679  0.5510  0.61
Horowitz 1949   64  0.3727  0.0049  0.0561  0.058  0.5444  0.16
Indjic 1988   11  0.5731  0.0016  0.1212  0.6311  0.5613  0.59
Kapell 1951   36  0.4743  0.0038  0.0639  0.1755  0.0656  0.10
Kissin 1993   65  0.3667  0.0073  0.0476  0.0455  0.0668  0.05
Kushner 1989   35  0.4848  0.0033  0.1134  0.3156  0.0552  0.12
Luisada 1991   20  0.5410  0.0223  0.1119  0.553  0.6511  0.60
Lushtak 2004   49  0.4384  0.0058  0.0560  0.0557  0.0571  0.05
Malcuzynski 1961   37  0.4620  0.0134  0.0935  0.2850  0.0750  0.14
Magaloff 1978   17  0.5529  0.0025  0.0929  0.4414  0.5027  0.47
Magin 1975   41  0.4685  0.0052  0.0655  0.0650  0.0566  0.05
Michalowski 1933   85  0.1878  0.0085  0.0384  0.0349  0.0484  0.03
Milkina 1970   14  0.5626  0.0011  0.1011  0.6530  0.3822  0.50
Mohovich 1999   13  0.577  0.055  0.1220  0.5420  0.4920  0.51
Moravec 1969   7  0.5835  0.009  0.125  0.713  0.672  0.69
Morozova 2008   70  0.3540  0.0069  0.0566  0.0561  0.0569  0.05
Neighaus 1950   80  0.2582  0.0080  0.0386  0.0369  0.0487  0.03
Niedzielski 1931   74  0.3315  0.0150  0.0568  0.058  0.4546  0.15
Ohlsson 1999   76  0.3086  0.0078  0.0474  0.0476  0.0383  0.03
Osinska 1989   29  0.5017  0.0126  0.0930  0.4445  0.0838  0.19
Pachmann 1927   84  0.2287  0.0086  0.0477  0.0462  0.0382  0.03
Paderewski 1930   86  0.1251  0.0082  0.0379  0.0338  0.1657  0.07
Perlemuter 1992   82  0.2459  0.0081  0.0385  0.0351  0.0574  0.04
Pierdomenico 2008   83  0.2388  0.0083  0.0381  0.0371  0.0381  0.03
Poblocka 1999   5  0.586  0.056  0.1821  0.5114  0.5021  0.50
Rabcewiczowa 1932   34  0.484  0.0712  0.0926  0.4711  0.4528  0.46
Rachmaninoff 1923   15  0.5619  0.0113  0.098  0.684  0.675  0.67
Rangell 2001   72  0.3456  0.0072  0.0473  0.0460  0.0673  0.05
Richter 1976   58  0.3930  0.0063  0.0472  0.0448  0.0577  0.04
Rosen 1989   38  0.4623  0.0132  0.1032  0.3517  0.4729  0.41
Rosenthal 1930   28  0.5058  0.0030  0.1125  0.477  0.6815  0.57
Rosenthal 1931   53  0.4068  0.0055  0.0653  0.0613  0.4842  0.17
Rosenthal 1931b   55  0.4053  0.0061  0.0657  0.0610  0.5441  0.18
Rosenthal 1931c   32  0.4932  0.0031  0.0931  0.415  0.6619  0.52
Rosenthal 1931d   44  0.4461  0.0039  0.0637  0.199  0.5931  0.33
Rossi 2007   81  0.2580  0.0084  0.0571  0.0565  0.0475  0.04
Rubinstein 1939   51  0.4263  0.0060  0.0747  0.0748  0.0559  0.06
Rubinstein 1952   27  0.5044  0.0035  0.0833  0.3342  0.1537  0.22
Rubinstein 1966   46  0.4474  0.0053  0.0748  0.0762  0.0562  0.06
Schilhawsky 1960   24  0.5225  0.0024  0.1128  0.4410  0.5623  0.50
Shebanova 2002   39  0.4614  0.0141  0.0641  0.1430  0.2740  0.19
Smith 1975   25  0.5216  0.0127  0.0727  0.4514  0.5226  0.48
Sokolov 2002   40  0.4633  0.0040  0.0638  0.1716  0.5034  0.29
Sztompka 1959   57  0.3913  0.0156  0.0659  0.0639  0.2254  0.11
Tomsic 1995   61  0.3883  0.0070  0.0562  0.0553  0.0760  0.06
Uninsky 1932   73  0.3445  0.0071  0.0567  0.0545  0.0863  0.06
Uninsky 1971   19  0.5428  0.0017  0.1416  0.5711  0.5914  0.58
Wasowski 1980   26  0.5234  0.0022  0.1417  0.578  0.5516  0.56
Zak 1937   31  0.5052  0.0044  0.0544  0.1035  0.2447  0.15
Zak 1951   30  0.5054  0.0045  0.0846  0.0836  0.1553  0.11
Random 1   89  -0.0789  0.0089  0.0288  0.0239  0.1764  0.06
Random 2   88  0.0390  0.0088  0.0189  0.0135  0.1678  0.04
Random 3   90  -0.0975  0.0090  0.0190  0.0181  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).