Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6913  0.026  0.088  0.3429  0.3011  0.32
Anderszewski 2003   61  0.5567  0.0075  0.0474  0.0462  0.0474  0.04
Ashkenazy 1981   20  0.6931  0.0054  0.0554  0.0559  0.0478  0.04
Bacha 2000   9  0.7216  0.0111  0.0610  0.292  0.545  0.40
Badura 1965   74  0.4779  0.0083  0.0378  0.0369  0.0486  0.03
Barbosa 1983   56  0.5719  0.0114  0.0540  0.1019  0.3035  0.17
Biret 1990   4  0.7520  0.018  0.086  0.399  0.533  0.45
Blet 2003   49  0.6063  0.0056  0.0462  0.0442  0.1454  0.07
Block 1995   85  0.3170  0.0084  0.0376  0.0370  0.0487  0.03
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   76  0.4659  0.0045  0.0444  0.0872  0.0461  0.06
Brailowsky 1960   40  0.6247  0.0047  0.0458  0.0416  0.3842  0.12
Bunin 1987   84  0.3283  0.0087  0.0381  0.0368  0.0489  0.03
Bunin 1987b   86  0.3181  0.0086  0.0384  0.0367  0.0482  0.03
Chiu 1999   8  0.7315  0.019  0.0815  0.2511  0.3515  0.30
Cohen 1997   16  0.7080  0.0024  0.0429  0.176  0.4720  0.28
Cortot 1951   47  0.6069  0.0065  0.0648  0.0656  0.0467  0.05
Csalog 1996   60  0.5575  0.0018  0.0530  0.164  0.4819  0.28
Czerny 1949   64  0.5214  0.0121  0.0541  0.1044  0.1544  0.12
Czerny 1990   2  0.771  0.241  0.241  0.603  0.551  0.57
Duchoud 2007   72  0.4960  0.0079  0.0379  0.0361  0.0485  0.03
Ezaki 2006   6  0.738  0.0412  0.0611  0.2924  0.3412  0.31
Falvay 1989   35  0.6448  0.0048  0.0550  0.0514  0.5140  0.16
Farrell 1958   10  0.7184  0.0027  0.0528  0.1815  0.4518  0.28
Ferenczy 1958   48  0.609  0.0316  0.0620  0.2113  0.3916  0.29
Fliere 1977   42  0.6134  0.0051  0.0466  0.0468  0.0468  0.04
Fou 1978   5  0.7442  0.0026  0.059  0.3223  0.3013  0.31
Francois 1956   33  0.6457  0.0032  0.0432  0.1610  0.4921  0.28
Friedman 1923   55  0.5755  0.0073  0.0465  0.0445  0.1257  0.07
Friedman 1923b   52  0.5868  0.0072  0.0473  0.0445  0.1256  0.07
Friedman 1930   50  0.6085  0.0070  0.0388  0.0350  0.0763  0.05
Garcia 2007   15  0.7065  0.0043  0.0535  0.1333  0.2338  0.17
Garcia 2007b   41  0.6266  0.0041  0.0631  0.1636  0.2033  0.18
Gierzod 1998   58  0.5739  0.0038  0.0524  0.1942  0.1537  0.17
Gornostaeva 1994   73  0.4853  0.0069  0.0377  0.0338  0.1064  0.05
Groot 1988   54  0.5827  0.0149  0.0471  0.0454  0.0665  0.05
Harasiewicz 1955   46  0.6040  0.0042  0.0633  0.1353  0.0551  0.08
Hatto 1993   34  0.6436  0.0060  0.0551  0.0551  0.0666  0.05
Hatto 1997   30  0.6573  0.0062  0.0469  0.0446  0.0860  0.06
Horowitz 1949   81  0.4386  0.0085  0.0555  0.0573  0.0471  0.04
Indjic 1988   31  0.6551  0.0063  0.0649  0.0653  0.0659  0.06
Kapell 1951   28  0.6544  0.007  0.084  0.4218  0.2510  0.32
Kissin 1993   45  0.6024  0.0134  0.0423  0.2036  0.1932  0.19
Kushner 1989   39  0.6261  0.0055  0.0468  0.0445  0.1152  0.07
Luisada 1991   18  0.6925  0.0137  0.0634  0.1344  0.1045  0.11
Lushtak 2004   7  0.7387  0.0025  0.0518  0.2225  0.2426  0.23
Malcuzynski 1961   82  0.3811  0.0220  0.0437  0.1228  0.2334  0.17
Magaloff 1978   27  0.6645  0.0046  0.0461  0.0418  0.3643  0.12
Magin 1975   57  0.577  0.0419  0.0442  0.0942  0.1050  0.09
Michalowski 1933   71  0.4943  0.0067  0.0385  0.0340  0.1553  0.07
Milkina 1970   29  0.655  0.0510  0.0722  0.2027  0.3124  0.25
Mohovich 1999   23  0.6812  0.0229  0.0512  0.2819  0.469  0.36
Moravec 1969   12  0.713  0.074  0.123  0.423  0.632  0.51
Morozova 2008   38  0.6318  0.0164  0.0553  0.0572  0.0376  0.04
Neighaus 1950   67  0.5171  0.0068  0.0470  0.0470  0.0480  0.04
Niedzielski 1931   51  0.5946  0.0017  0.0526  0.1929  0.3622  0.26
Ohlsson 1999   69  0.5072  0.0078  0.0457  0.0474  0.0472  0.04
Osinska 1989   32  0.6549  0.0035  0.0517  0.2431  0.2525  0.24
Pachmann 1927   75  0.4689  0.0082  0.0387  0.0353  0.0484  0.03
Paderewski 1930   17  0.6933  0.0023  0.0513  0.285  0.508  0.37
Perlemuter 1992   14  0.7035  0.0030  0.0525  0.1933  0.2129  0.20
Pierdomenico 2008   83  0.3829  0.0080  0.0475  0.0459  0.0569  0.04
Poblocka 1999   78  0.4426  0.0139  0.0521  0.2133  0.2328  0.22
Rabcewiczowa 1932   3  0.774  0.063  0.195  0.416  0.484  0.44
Rachmaninoff 1923   24  0.6730  0.0022  0.0545  0.0837  0.1347  0.10
Rangell 2001   87  0.2988  0.0081  0.0386  0.0346  0.0579  0.04
Richter 1976   88  0.2276  0.0088  0.0382  0.0376  0.0383  0.03
Rosen 1989   36  0.6338  0.0036  0.0514  0.2722  0.3217  0.29
Rosenthal 1930   77  0.4623  0.0161  0.0464  0.0426  0.2349  0.10
Rosenthal 1931   68  0.5052  0.0057  0.0459  0.0413  0.4641  0.14
Rosenthal 1931b   65  0.5232  0.0058  0.0647  0.0613  0.5039  0.17
Rosenthal 1931c   63  0.5221  0.0133  0.0539  0.1112  0.4727  0.23
Rosenthal 1931d   66  0.5177  0.0059  0.0846  0.0812  0.4931  0.20
Rossi 2007   11  0.7117  0.0113  0.0616  0.241  0.616  0.38
Rubinstein 1939   13  0.7074  0.0028  0.0627  0.1820  0.3423  0.25
Rubinstein 1952   26  0.676  0.055  0.157  0.3624  0.417  0.38
Rubinstein 1966   21  0.6850  0.0031  0.0543  0.0927  0.3336  0.17
Schilhawsky 1960   70  0.5041  0.0074  0.0380  0.0360  0.0575  0.04
Shebanova 2002   53  0.5828  0.0144  0.0538  0.1266  0.0455  0.07
Smith 1975   43  0.6122  0.0140  0.0536  0.1320  0.3030  0.20
Sokolov 2002   62  0.5254  0.0071  0.0383  0.0365  0.0381  0.03
Sztompka 1959   44  0.6137  0.0015  0.0519  0.2159  0.0548  0.10
Tomsic 1995   79  0.4378  0.0077  0.0467  0.0432  0.3246  0.11
Uninsky 1932   59  0.5662  0.0066  0.0463  0.0460  0.0577  0.04
Uninsky 1971   80  0.4356  0.0076  0.0556  0.0566  0.0473  0.04
Wasowski 1980   37  0.6310  0.0250  0.0460  0.0443  0.0958  0.06
Zak 1937   22  0.6858  0.0052  0.0472  0.0446  0.0662  0.05
Zak 1951   25  0.6764  0.0053  0.0552  0.0564  0.0470  0.04
Average   1  0.782  0.122  0.192  0.5738  0.1714  0.31
Random 1   91  -0.2890  0.0091  0.0191  0.0176  0.0391  0.02
Random 2   89  -0.0482  0.0090  0.0189  0.0169  0.0390  0.02
Random 3   90  -0.1991  0.0089  0.0190  0.0144  0.0988  0.03

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).