Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6444  0.009  0.0911  0.4625  0.4212  0.44
Anderszewski 2003   49  0.5379  0.0068  0.0469  0.0471  0.0480  0.04
Ashkenazy 1981   20  0.6026  0.0055  0.0463  0.0441  0.1770  0.08
Bacha 2000   25  0.5929  0.0035  0.0735  0.183  0.6122  0.33
Badura 1965   78  0.4164  0.0082  0.0479  0.0475  0.0483  0.04
Barbosa 1983   44  0.5453  0.0018  0.0729  0.2421  0.4720  0.34
Biret 1990   3  0.6750  0.005  0.173  0.636  0.603  0.61
Blet 2003   66  0.4934  0.0069  0.0462  0.0421  0.3354  0.11
Block 1995   81  0.4061  0.0075  0.0459  0.0437  0.1868  0.08
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   71  0.4836  0.0044  0.0644  0.1258  0.0569  0.08
Brailowsky 1960   29  0.5827  0.0050  0.0551  0.057  0.6737  0.18
Bunin 1987   84  0.3465  0.0085  0.0386  0.0361  0.0489  0.03
Bunin 1987b   87  0.3384  0.0086  0.0481  0.0475  0.0478  0.04
Chiu 1999   16  0.6154  0.0020  0.0636  0.1713  0.3832  0.25
Cohen 1997   41  0.5677  0.0056  0.0554  0.0512  0.4250  0.14
Cortot 1951   62  0.4951  0.0071  0.0472  0.0411  0.5747  0.15
Csalog 1996   67  0.4862  0.0033  0.0640  0.1512  0.4928  0.27
Czerny 1949   57  0.5133  0.0040  0.0642  0.1349  0.0758  0.10
Czerny 1990   2  0.693  0.082  0.262  0.714  0.731  0.72
Duchoud 2007   83  0.3671  0.0087  0.0388  0.0372  0.0488  0.03
Ezaki 2006   4  0.677  0.028  0.095  0.5511  0.614  0.58
Falvay 1989   21  0.609  0.0117  0.0728  0.248  0.5616  0.37
Farrell 1958   35  0.5785  0.0051  0.0648  0.0633  0.3349  0.14
Ferenczy 1958   39  0.566  0.0213  0.1025  0.287  0.5714  0.40
Fliere 1977   15  0.6130  0.0027  0.0812  0.4147  0.0739  0.17
Fou 1978   6  0.6639  0.0014  0.1010  0.4616  0.489  0.47
Francois 1956   63  0.4967  0.0061  0.0557  0.0528  0.4251  0.14
Friedman 1923   61  0.5063  0.0074  0.0646  0.0644  0.1172  0.08
Friedman 1923b   58  0.5155  0.0073  0.0552  0.0544  0.1371  0.08
Friedman 1930   53  0.5259  0.0072  0.0460  0.0441  0.2262  0.09
Garcia 2007   50  0.5286  0.0067  0.0383  0.0336  0.2763  0.09
Garcia 2007b   59  0.5178  0.0065  0.0480  0.0438  0.2164  0.09
Gierzod 1998   36  0.5628  0.0025  0.0624  0.2842  0.1735  0.22
Gornostaeva 1994   68  0.4843  0.0063  0.0649  0.0639  0.1659  0.10
Groot 1988   46  0.5435  0.0045  0.0445  0.0924  0.3140  0.17
Harasiewicz 1955   24  0.5942  0.0024  0.0623  0.2939  0.1834  0.23
Hatto 1993   12  0.6238  0.0016  0.0713  0.4026  0.2921  0.34
Hatto 1997   11  0.6368  0.0030  0.1118  0.3734  0.1929  0.27
Horowitz 1949   79  0.4166  0.0081  0.0475  0.0444  0.1767  0.08
Indjic 1988   13  0.6248  0.0029  0.0717  0.3732  0.2625  0.31
Kapell 1951   27  0.5956  0.0015  0.089  0.4625  0.3017  0.37
Kissin 1993   43  0.5557  0.0037  0.0637  0.1745  0.1445  0.15
Kushner 1989   38  0.5660  0.0048  0.0473  0.0445  0.1074  0.06
Luisada 1991   10  0.6320  0.0119  0.0614  0.4012  0.4810  0.44
Lushtak 2004   33  0.5880  0.0054  0.0553  0.0558  0.0575  0.05
Malcuzynski 1961   76  0.4411  0.0139  0.0732  0.2224  0.3031  0.26
Magaloff 1978   19  0.6022  0.0022  0.0634  0.1911  0.4326  0.29
Magin 1975   40  0.5613  0.0138  0.0631  0.2243  0.1538  0.18
Michalowski 1933   77  0.4175  0.0079  0.0458  0.0445  0.1273  0.07
Milkina 1970   14  0.625  0.0311  0.098  0.5228  0.458  0.48
Mohovich 1999   22  0.6024  0.0012  0.0919  0.3521  0.5313  0.43
Moravec 1969   7  0.664  0.064  0.254  0.591  0.762  0.67
Morozova 2008   47  0.5312  0.0164  0.0467  0.0458  0.0581  0.04
Neighaus 1950   75  0.4476  0.0077  0.0466  0.0474  0.0484  0.04
Niedzielski 1931   54  0.5141  0.0021  0.0626  0.2516  0.4619  0.34
Ohlsson 1999   74  0.4472  0.0076  0.0482  0.0459  0.0579  0.04
Osinska 1989   28  0.5817  0.0134  0.0722  0.2933  0.2627  0.27
Pachmann 1927   82  0.3687  0.0088  0.0474  0.0465  0.0386  0.03
Paderewski 1930   73  0.4669  0.0070  0.0555  0.0519  0.4544  0.15
Perlemuter 1992   55  0.5173  0.0062  0.0550  0.0536  0.2056  0.10
Pierdomenico 2008   85  0.3488  0.0080  0.0385  0.0365  0.0577  0.04
Poblocka 1999   56  0.5132  0.0010  0.1121  0.3435  0.3323  0.33
Rabcewiczowa 1932   5  0.672  0.093  0.196  0.526  0.537  0.52
Rachmaninoff 1923   8  0.6423  0.007  0.117  0.525  0.576  0.54
Rangell 2001   86  0.3474  0.0083  0.0556  0.0557  0.0576  0.05
Richter 1976   88  0.3025  0.0084  0.0387  0.0375  0.0485  0.03
Rosen 1989   37  0.5614  0.0126  0.0720  0.3417  0.4018  0.37
Rosenthal 1930   69  0.4815  0.0152  0.0476  0.049  0.6442  0.16
Rosenthal 1931   72  0.4770  0.0060  0.0461  0.049  0.6046  0.15
Rosenthal 1931b   65  0.4940  0.0057  0.0478  0.047  0.6543  0.16
Rosenthal 1931c   48  0.5318  0.0131  0.0639  0.168  0.6424  0.32
Rosenthal 1931d   64  0.4949  0.0058  0.0647  0.067  0.6936  0.20
Rossi 2007   34  0.5789  0.0053  0.0471  0.048  0.5248  0.14
Rubinstein 1939   32  0.5858  0.0046  0.0468  0.0427  0.3452  0.12
Rubinstein 1952   23  0.5945  0.006  0.1215  0.3925  0.4115  0.40
Rubinstein 1966   26  0.5981  0.0049  0.0470  0.0439  0.2357  0.10
Schilhawsky 1960   52  0.5219  0.0147  0.0465  0.0439  0.1961  0.09
Shebanova 2002   45  0.548  0.0132  0.0530  0.2357  0.0555  0.11
Smith 1975   31  0.5821  0.0123  0.0616  0.379  0.5311  0.44
Sokolov 2002   51  0.5231  0.0059  0.0464  0.0438  0.1665  0.08
Sztompka 1959   42  0.5616  0.0128  0.0627  0.2440  0.2233  0.23
Tomsic 1995   80  0.4082  0.0078  0.0477  0.0439  0.1766  0.08
Uninsky 1932   60  0.5037  0.0066  0.0384  0.0347  0.0682  0.04
Uninsky 1971   70  0.4846  0.0043  0.0538  0.1641  0.1741  0.16
Wasowski 1980   30  0.5810  0.0136  0.0733  0.2129  0.3230  0.26
Zak 1937   17  0.6152  0.0042  0.0643  0.1345  0.0953  0.11
Zak 1951   18  0.6047  0.0041  0.0541  0.1353  0.0660  0.09
Average   1  0.761  0.521  0.511  0.8427  0.395  0.57
Random 1   91  -0.1483  0.0091  0.0191  0.0182  0.0291  0.01
Random 2   89  -0.0290  0.0089  0.0289  0.0256  0.0487  0.03
Random 3   90  -0.1191  0.0090  0.0190  0.0177  0.0390  0.02

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).