Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.3440  0.0025  0.1021  0.5028  0.3820  0.44
Anderszewski 2003   11  0.3921  0.0113  0.2010  0.644  0.702  0.67
Ashkenazy 1981   3  0.4717  0.013  0.173  0.7628  0.545  0.64
Bacha 2000   1  0.491  0.331  0.331  0.792  0.751  0.77
Badura 1965   18  0.369  0.0118  0.1114  0.568  0.619  0.58
Barbosa 1983   26  0.3456  0.0044  0.0643  0.1364  0.0548  0.08
Biret 1990   85  0.0681  0.0086  0.0288  0.0284  0.0289  0.02
Blet 2003   62  0.2159  0.0065  0.0473  0.0466  0.0574  0.04
Block 1995   38  0.2912  0.0128  0.0927  0.4143  0.1430  0.24
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   45  0.2715  0.0145  0.0545  0.1065  0.0551  0.07
Brailowsky 1960   27  0.3211  0.0120  0.1019  0.5314  0.5912  0.56
Bunin 1987   57  0.2335  0.0042  0.0642  0.1350  0.0744  0.10
Bunin 1987b   55  0.2418  0.0141  0.0740  0.1660  0.0546  0.09
Chiu 1999   20  0.3653  0.0034  0.0835  0.2861  0.0635  0.13
Cohen 1997   59  0.2254  0.0071  0.0564  0.0546  0.1152  0.07
Cortot 1951   81  0.1188  0.0083  0.0376  0.0378  0.0385  0.03
Csalog 1996   86  0.0571  0.0087  0.0287  0.0281  0.0386  0.02
Czerny 1949   82  0.0976  0.0074  0.0384  0.0345  0.1156  0.06
Czerny 1990   19  0.3629  0.0016  0.1113  0.5725  0.6010  0.58
Duchoud 2007   73  0.1689  0.0082  0.0379  0.0381  0.0381  0.03
Ezaki 2006   42  0.2848  0.0050  0.0563  0.0537  0.2439  0.11
Falvay 1989   34  0.3143  0.0043  0.0544  0.1233  0.2534  0.17
Farrell 1958   83  0.0936  0.0080  0.0383  0.0381  0.0380  0.03
Ferenczy 1958   66  0.2028  0.0048  0.0652  0.0626  0.6532  0.20
Fliere 1977   28  0.3242  0.0035  0.0831  0.3075  0.0440  0.11
Fou 1978   8  0.414  0.054  0.236  0.719  0.623  0.66
Francois 1956   84  0.0785  0.0084  0.0560  0.0573  0.0376  0.04
Friedman 1923   61  0.2177  0.0069  0.0472  0.0456  0.0859  0.06
Friedman 1923b   65  0.2067  0.0070  0.0650  0.0664  0.0657  0.06
Friedman 1930   48  0.2632  0.0039  0.0638  0.1958  0.0642  0.11
Garcia 2007   46  0.2625  0.0047  0.0557  0.0558  0.0565  0.05
Garcia 2007b   22  0.3551  0.0021  0.1020  0.5023  0.5216  0.51
Gierzod 1998   21  0.3520  0.0111  0.1312  0.5811  0.687  0.63
Gornostaeva 1994   77  0.1578  0.0075  0.0381  0.0370  0.0383  0.03
Groot 1988   29  0.3241  0.0036  0.0932  0.3064  0.0637  0.13
Harasiewicz 1955   33  0.3145  0.0038  0.0637  0.2152  0.0643  0.11
Hatto 1993   6  0.446  0.038  0.197  0.7125  0.4611  0.57
Hatto 1997   13  0.3837  0.0014  0.1011  0.6020  0.4315  0.51
Horowitz 1949   35  0.3049  0.0031  0.0830  0.3140  0.2826  0.29
Indjic 1988   5  0.4619  0.017  0.125  0.7222  0.566  0.63
Kapell 1951   17  0.375  0.0515  0.1115  0.5623  0.3919  0.47
Kissin 1993   14  0.3847  0.0022  0.1118  0.5535  0.4417  0.49
Kushner 1989   4  0.4614  0.016  0.194  0.7212  0.584  0.65
Luisada 1991   37  0.3062  0.0053  0.0555  0.0554  0.0753  0.06
Lushtak 2004   44  0.2739  0.0051  0.0649  0.0637  0.1547  0.09
Malcuzynski 1961   7  0.423  0.125  0.199  0.6418  0.538  0.58
Magaloff 1978   72  0.1865  0.0068  0.0375  0.0371  0.0479  0.03
Magin 1975   16  0.3710  0.0117  0.0926  0.4133  0.4423  0.42
Michalowski 1933   47  0.2616  0.0140  0.0739  0.1752  0.0741  0.11
Milkina 1970   53  0.2452  0.0058  0.0467  0.0449  0.0854  0.06
Mohovich 1999   56  0.2326  0.0059  0.0468  0.0453  0.0667  0.05
Moravec 1969   23  0.3430  0.0019  0.1122  0.5024  0.3622  0.42
Morozova 2008   25  0.347  0.0323  0.1028  0.3559  0.0536  0.13
Neighaus 1950   76  0.1560  0.0076  0.0474  0.0481  0.0384  0.03
Niedzielski 1931   31  0.3222  0.0126  0.0924  0.4540  0.1827  0.28
Ohlsson 1999   58  0.2266  0.0064  0.0747  0.0781  0.0364  0.05
Osinska 1989   87  0.0286  0.0088  0.0286  0.0289  0.0190  0.01
Pachmann 1927   74  0.1682  0.0077  0.0377  0.0366  0.0573  0.04
Paderewski 1930   49  0.2661  0.0057  0.0471  0.0457  0.0663  0.05
Perlemuter 1992   40  0.2934  0.0052  0.0653  0.0649  0.0560  0.05
Pierdomenico 2008   80  0.1272  0.0073  0.0559  0.0571  0.0370  0.04
Poblocka 1999   54  0.2457  0.0056  0.0470  0.0452  0.0568  0.04
Rabcewiczowa 1932   79  0.1268  0.0078  0.0385  0.0356  0.0671  0.04
Rachmaninoff 1923   78  0.1446  0.0049  0.0562  0.0560  0.0469  0.04
Rangell 2001   71  0.1879  0.0079  0.0380  0.0384  0.0288  0.02
Richter 1976   41  0.2873  0.0054  0.0561  0.0567  0.0562  0.05
Rosen 1989   68  0.1990  0.0066  0.0556  0.0582  0.0375  0.04
Rosenthal 1930   64  0.2138  0.0055  0.0466  0.0449  0.0666  0.05
Rosenthal 1931   36  0.3074  0.0027  0.1025  0.4222  0.5818  0.49
Rosenthal 1931b   51  0.2533  0.0029  0.0836  0.2524  0.5225  0.36
Rosenthal 1931c   67  0.1987  0.0060  0.0558  0.0541  0.2045  0.10
Rosenthal 1931d   69  0.1880  0.0037  0.0841  0.1524  0.4229  0.25
Rossi 2007   91  -0.1191  0.0091  0.0191  0.0189  0.0191  0.01
Rubinstein 1939   30  0.3255  0.0033  0.0833  0.2932  0.1931  0.23
Rubinstein 1952   63  0.2169  0.0063  0.0746  0.0753  0.0558  0.06
Rubinstein 1966   9  0.418  0.0210  0.1216  0.5614  0.4714  0.51
Schilhawsky 1960   32  0.3131  0.0032  0.1129  0.3311  0.5721  0.43
Shebanova 2002   12  0.3927  0.009  0.1417  0.5642  0.2524  0.37
Smith 1975   70  0.1824  0.0172  0.0565  0.0563  0.0561  0.05
Sokolov 2002   60  0.2175  0.0067  0.0469  0.0477  0.0378  0.03
Sztompka 1959   39  0.2944  0.0030  0.0734  0.2962  0.0538  0.12
Tomsic 1995   43  0.2850  0.0046  0.0651  0.0648  0.0655  0.06
Uninsky 1932   15  0.3723  0.0124  0.1423  0.4945  0.1428  0.26
Uninsky 1971   10  0.4113  0.0112  0.158  0.6511  0.4813  0.56
Wasowski 1980   75  0.1663  0.0081  0.0382  0.0380  0.0477  0.03
Zak 1937   52  0.2483  0.0062  0.0648  0.0646  0.0949  0.07
Zak 1951   50  0.2664  0.0061  0.0554  0.0565  0.0472  0.04
Average   2  0.482  0.132  0.242  0.7970  0.0433  0.18
Random 1   89  -0.0758  0.0089  0.0289  0.0261  0.0482  0.03
Random 2   88  0.0170  0.0085  0.0378  0.0340  0.1650  0.07
Random 3   90  -0.0984  0.0090  0.0190  0.0150  0.0487  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).