Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.3439  0.0024  0.1120  0.5027  0.3820  0.44
Anderszewski 2003   10  0.3921  0.0112  0.209  0.644  0.702  0.67
Ashkenazy 1981   2  0.479  0.012  0.172  0.7627  0.545  0.64
Bacha 2000   1  0.491  0.391  0.391  0.792  0.751  0.77
Badura 1965   17  0.3610  0.0117  0.1113  0.567  0.619  0.58
Barbosa 1983   25  0.3450  0.0043  0.0642  0.1363  0.0547  0.08
Biret 1990   84  0.0681  0.0085  0.0287  0.0283  0.0288  0.02
Blet 2003   61  0.2159  0.0064  0.0472  0.0465  0.0574  0.04
Block 1995   37  0.2913  0.0127  0.0926  0.4142  0.1430  0.24
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   44  0.2717  0.0144  0.0544  0.1064  0.0549  0.07
Brailowsky 1960   26  0.3212  0.0119  0.1018  0.5313  0.5912  0.56
Bunin 1987   56  0.2334  0.0041  0.0641  0.1349  0.0743  0.10
Bunin 1987b   54  0.2419  0.0140  0.0739  0.1659  0.0545  0.09
Chiu 1999   19  0.3654  0.0033  0.0834  0.2860  0.0634  0.13
Cohen 1997   58  0.2256  0.0070  0.0563  0.0545  0.1150  0.07
Cortot 1951   80  0.1187  0.0082  0.0375  0.0377  0.0384  0.03
Csalog 1996   85  0.0570  0.0086  0.0286  0.0280  0.0385  0.02
Czerny 1949   81  0.0975  0.0073  0.0383  0.0344  0.1154  0.06
Czerny 1990   18  0.3630  0.0015  0.1112  0.5724  0.6010  0.58
Duchoud 2007   72  0.1688  0.0081  0.0378  0.0380  0.0380  0.03
Ezaki 2006   41  0.2847  0.0049  0.0562  0.0536  0.2438  0.11
Falvay 1989   33  0.3142  0.0042  0.0543  0.1232  0.2533  0.17
Farrell 1958   82  0.0937  0.0079  0.0382  0.0380  0.0379  0.03
Ferenczy 1958   65  0.2029  0.0047  0.0651  0.0626  0.6532  0.20
Fliere 1977   27  0.3235  0.0034  0.0830  0.3074  0.0439  0.11
Fou 1978   7  0.413  0.073  0.235  0.718  0.623  0.66
Francois 1956   83  0.0776  0.0083  0.0559  0.0572  0.0376  0.04
Friedman 1923   60  0.2177  0.0068  0.0471  0.0455  0.0858  0.06
Friedman 1923b   64  0.2068  0.0069  0.0649  0.0663  0.0656  0.06
Friedman 1930   47  0.2631  0.0038  0.0637  0.1957  0.0641  0.11
Garcia 2007   45  0.2625  0.0046  0.0556  0.0557  0.0564  0.05
Garcia 2007b   21  0.3551  0.0020  0.1019  0.5022  0.5216  0.51
Gierzod 1998   20  0.3520  0.0110  0.1311  0.5810  0.687  0.63
Gornostaeva 1994   76  0.1578  0.0074  0.0380  0.0369  0.0382  0.03
Groot 1988   28  0.3241  0.0035  0.1031  0.3063  0.0636  0.13
Harasiewicz 1955   32  0.3144  0.0037  0.0636  0.2151  0.0642  0.11
Hatto 1993   5  0.445  0.037  0.196  0.7124  0.4611  0.57
Hatto 1997   12  0.3836  0.0013  0.1010  0.6019  0.4315  0.51
Horowitz 1949   34  0.3048  0.0030  0.0929  0.3139  0.2826  0.29
Indjic 1988   4  0.4614  0.016  0.124  0.7221  0.566  0.63
Kapell 1951   16  0.374  0.0614  0.1114  0.5622  0.3919  0.47
Kissin 1993   13  0.3846  0.0021  0.1117  0.5534  0.4417  0.49
Kushner 1989   3  0.4616  0.015  0.193  0.7211  0.584  0.65
Luisada 1991   36  0.3062  0.0052  0.0554  0.0553  0.0751  0.06
Lushtak 2004   43  0.2740  0.0050  0.0648  0.0636  0.1546  0.09
Malcuzynski 1961   6  0.422  0.144  0.198  0.6417  0.538  0.58
Magaloff 1978   71  0.1865  0.0067  0.0474  0.0470  0.0468  0.04
Magin 1975   15  0.3711  0.0116  0.0925  0.4132  0.4423  0.42
Michalowski 1933   46  0.2618  0.0139  0.0738  0.1751  0.0740  0.11
Milkina 1970   52  0.2453  0.0057  0.0466  0.0448  0.0852  0.06
Mohovich 1999   55  0.2326  0.0058  0.0467  0.0452  0.0666  0.05
Moravec 1969   22  0.3427  0.0018  0.1121  0.5023  0.3622  0.42
Morozova 2008   24  0.346  0.0322  0.1027  0.3558  0.0535  0.13
Neighaus 1950   75  0.1549  0.0075  0.0473  0.0480  0.0383  0.03
Niedzielski 1931   30  0.3222  0.0125  0.0923  0.4539  0.1827  0.28
Ohlsson 1999   57  0.2266  0.0063  0.0746  0.0780  0.0363  0.05
Osinska 1989   86  0.0285  0.0087  0.0285  0.0288  0.0189  0.01
Pachmann 1927   73  0.1682  0.0076  0.0376  0.0365  0.0573  0.04
Paderewski 1930   48  0.2661  0.0056  0.0470  0.0456  0.0662  0.05
Perlemuter 1992   39  0.2933  0.0051  0.0652  0.0648  0.0559  0.05
Pierdomenico 2008   79  0.1271  0.0072  0.0558  0.0570  0.0370  0.04
Poblocka 1999   53  0.2455  0.0055  0.0469  0.0451  0.0567  0.04
Rabcewiczowa 1932   78  0.1267  0.0077  0.0384  0.0355  0.0671  0.04
Rachmaninoff 1923   77  0.1445  0.0048  0.0561  0.0559  0.0469  0.04
Rangell 2001   70  0.1879  0.0078  0.0379  0.0383  0.0287  0.02
Richter 1976   40  0.2872  0.0053  0.0560  0.0566  0.0561  0.05
Rosen 1989   67  0.1989  0.0065  0.0555  0.0581  0.0375  0.04
Rosenthal 1930   63  0.2138  0.0054  0.0565  0.0548  0.0665  0.05
Rosenthal 1931   35  0.3073  0.0026  0.1024  0.4221  0.5818  0.49
Rosenthal 1931b   50  0.2532  0.0028  0.0835  0.2523  0.5225  0.36
Rosenthal 1931c   66  0.1986  0.0059  0.0557  0.0540  0.2044  0.10
Rosenthal 1931d   68  0.1880  0.0036  0.0840  0.1523  0.4229  0.25
Rossi 2007   90  -0.1190  0.0090  0.0190  0.0188  0.0190  0.01
Rubinstein 1939   29  0.3257  0.0032  0.0832  0.2931  0.1931  0.23
Rubinstein 1952   62  0.2160  0.0062  0.0745  0.0752  0.0557  0.06
Rubinstein 1966   8  0.417  0.029  0.1215  0.5613  0.4714  0.51
Schilhawsky 1960   31  0.3128  0.0031  0.1128  0.3310  0.5721  0.43
Shebanova 2002   11  0.398  0.028  0.1416  0.5641  0.2524  0.37
Smith 1975   69  0.1824  0.0171  0.0564  0.0562  0.0560  0.05
Sokolov 2002   59  0.2174  0.0066  0.0468  0.0476  0.0378  0.03
Sztompka 1959   38  0.2943  0.0029  0.0733  0.2961  0.0537  0.12
Tomsic 1995   42  0.2852  0.0045  0.0650  0.0647  0.0653  0.06
Uninsky 1932   14  0.3723  0.0123  0.1422  0.4944  0.1428  0.26
Uninsky 1971   9  0.4115  0.0111  0.157  0.6510  0.4813  0.56
Wasowski 1980   74  0.1663  0.0080  0.0381  0.0379  0.0477  0.03
Zak 1937   51  0.2483  0.0061  0.0647  0.0645  0.0948  0.07
Zak 1951   49  0.2664  0.0060  0.0553  0.0564  0.0472  0.04
Random 1   88  -0.0758  0.0088  0.0288  0.0262  0.0481  0.03
Random 2   87  0.0169  0.0084  0.0377  0.0340  0.1455  0.06
Random 3   89  -0.0984  0.0089  0.0189  0.0149  0.0486  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).