Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5156  0.0021  0.0727  0.1945  0.0928  0.13
Anderszewski 2003   57  0.4525  0.0149  0.0459  0.0451  0.0463  0.04
Ashkenazy 1981   2  0.646  0.0318  0.0912  0.3342  0.1221  0.20
Bacha 2000   30  0.5223  0.0132  0.0532  0.1645  0.1125  0.13
Badura 1965   69  0.4228  0.0074  0.0281  0.0268  0.0481  0.03
Barbosa 1983   68  0.4280  0.0069  0.0374  0.0361  0.0562  0.04
Biret 1990   9  0.5818  0.019  0.079  0.3635  0.2013  0.27
Blet 2003   29  0.5237  0.0042  0.0538  0.1458  0.0543  0.08
Block 1995   87  0.2436  0.0060  0.0373  0.0350  0.0567  0.04
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   35  0.518  0.0253  0.0548  0.0544  0.1150  0.07
Brailowsky 1960   47  0.4861  0.0073  0.0283  0.0280  0.0389  0.02
Bunin 1987   78  0.3586  0.0086  0.0449  0.0476  0.0382  0.03
Bunin 1987b   81  0.3488  0.0085  0.0451  0.0480  0.0375  0.03
Chiu 1999   16  0.5650  0.0029  0.0522  0.2248  0.0631  0.11
Cohen 1997   70  0.4259  0.0081  0.0365  0.0336  0.1356  0.06
Cortot 1951   6  0.5947  0.0015  0.076  0.4114  0.422  0.41
Csalog 1996   82  0.3384  0.0080  0.0285  0.0264  0.0479  0.03
Czerny 1949   27  0.5230  0.0014  0.0615  0.3132  0.2811  0.29
Czerny 1990   3  0.632  0.112  0.202  0.4825  0.283  0.37
Duchoud 2007   64  0.4346  0.0071  0.0280  0.0271  0.0480  0.03
Ezaki 2006   14  0.5763  0.0026  0.0528  0.1866  0.0437  0.08
Falvay 1989   42  0.4916  0.0157  0.0366  0.0345  0.1254  0.06
Farrell 1958   12  0.5753  0.0022  0.0614  0.3234  0.2014  0.25
Ferenczy 1958   44  0.4913  0.026  0.1017  0.2823  0.2812  0.28
Fliere 1977   38  0.4943  0.0062  0.0278  0.0288  0.0288  0.02
Fou 1978   41  0.4945  0.0068  0.0370  0.0373  0.0474  0.03
Francois 1956   65  0.4374  0.0040  0.0543  0.0944  0.1133  0.10
Friedman 1923   62  0.4466  0.0024  0.0535  0.1519  0.3716  0.24
Friedman 1923b   60  0.4465  0.0023  0.0630  0.1719  0.3715  0.25
Friedman 1930   63  0.4362  0.0048  0.0457  0.0437  0.1935  0.09
Garcia 2007   26  0.5372  0.0044  0.0640  0.1336  0.2024  0.16
Garcia 2007b   52  0.4757  0.0033  0.0625  0.2118  0.2519  0.23
Gierzod 1998   15  0.5651  0.0013  0.0611  0.3439  0.1618  0.23
Gornostaeva 1994   75  0.3860  0.0079  0.0462  0.0468  0.0383  0.03
Groot 1988   73  0.4077  0.0077  0.0375  0.0375  0.0386  0.03
Harasiewicz 1955   67  0.4317  0.0152  0.0452  0.0488  0.0287  0.03
Hatto 1993   23  0.5369  0.0034  0.0631  0.1781  0.0352  0.07
Hatto 1997   21  0.5475  0.0036  0.0629  0.1772  0.0444  0.08
Horowitz 1949   71  0.4181  0.0064  0.0279  0.0279  0.0390  0.02
Indjic 1988   22  0.5383  0.0035  0.0534  0.1584  0.0349  0.07
Kapell 1951   31  0.525  0.045  0.093  0.4732  0.274  0.36
Kissin 1993   51  0.4735  0.0063  0.0368  0.0375  0.0378  0.03
Kushner 1989   28  0.5234  0.0043  0.0541  0.1157  0.0547  0.07
Luisada 1991   11  0.5821  0.0131  0.0523  0.2148  0.0630  0.11
Lushtak 2004   7  0.5882  0.0027  0.0521  0.2246  0.0632  0.11
Malcuzynski 1961   76  0.3724  0.0151  0.0455  0.0434  0.1541  0.08
Magaloff 1978   54  0.4664  0.0072  0.0284  0.0275  0.0473  0.03
Magin 1975   40  0.493  0.104  0.1039  0.1441  0.1226  0.13
Michalowski 1933   49  0.4731  0.0019  0.0810  0.3531  0.3010  0.32
Milkina 1970   48  0.4714  0.0130  0.0542  0.1157  0.0548  0.07
Mohovich 1999   36  0.5012  0.0255  0.0456  0.0470  0.0469  0.04
Moravec 1969   10  0.581  0.281  0.281  0.503  0.621  0.56
Morozova 2008   4  0.6019  0.0120  0.0820  0.2339  0.1323  0.17
Neighaus 1950   55  0.4652  0.0050  0.0454  0.0457  0.0570  0.04
Niedzielski 1931   72  0.4029  0.0038  0.0533  0.1653  0.0440  0.08
Ohlsson 1999   50  0.4768  0.0056  0.0453  0.0486  0.0377  0.03
Osinska 1989   17  0.5611  0.0210  0.077  0.3728  0.326  0.34
Pachmann 1927   86  0.2591  0.0088  0.0371  0.0381  0.0376  0.03
Paderewski 1930   8  0.5887  0.0017  0.068  0.3717  0.335  0.35
Perlemuter 1992   19  0.5522  0.0145  0.0445  0.0970  0.0453  0.06
Pierdomenico 2008   83  0.3348  0.0083  0.0458  0.0457  0.0560  0.04
Poblocka 1999   61  0.4410  0.0216  0.0719  0.2332  0.2020  0.21
Rabcewiczowa 1932   5  0.5933  0.008  0.0816  0.3018  0.397  0.34
Rachmaninoff 1923   46  0.487  0.027  0.0937  0.1565  0.0438  0.08
Rangell 2001   85  0.2570  0.0084  0.0460  0.0475  0.0384  0.03
Richter 1976   88  0.1639  0.0087  0.0288  0.0280  0.0391  0.02
Rosen 1989   39  0.4954  0.0028  0.0624  0.2137  0.1722  0.19
Rosenthal 1930   74  0.4027  0.0170  0.0277  0.0243  0.0966  0.04
Rosenthal 1931   84  0.3249  0.0078  0.0364  0.0344  0.0958  0.05
Rosenthal 1931b   79  0.3540  0.0075  0.0287  0.0234  0.1159  0.05
Rosenthal 1931c   66  0.4315  0.0158  0.0461  0.0434  0.2236  0.09
Rosenthal 1931d   80  0.3473  0.0076  0.0372  0.0374  0.0485  0.03
Rossi 2007   56  0.4520  0.0161  0.0282  0.0229  0.2346  0.07
Rubinstein 1939   45  0.4885  0.0066  0.0286  0.0225  0.3039  0.08
Rubinstein 1952   53  0.4678  0.0039  0.0544  0.0942  0.1529  0.12
Rubinstein 1966   33  0.5167  0.0067  0.0363  0.0353  0.0564  0.04
Schilhawsky 1960   59  0.4441  0.0054  0.0450  0.0472  0.0465  0.04
Shebanova 2002   25  0.5344  0.0041  0.0436  0.1567  0.0445  0.08
Smith 1975   24  0.539  0.0212  0.0913  0.3322  0.349  0.33
Sokolov 2002   58  0.4526  0.0159  0.0369  0.0353  0.0472  0.03
Sztompka 1959   13  0.574  0.103  0.135  0.4129  0.298  0.34
Tomsic 1995   77  0.3542  0.0082  0.0367  0.0347  0.0561  0.04
Uninsky 1932   18  0.5576  0.0025  0.0518  0.2535  0.2217  0.23
Uninsky 1971   43  0.4989  0.0047  0.0547  0.0543  0.1342  0.08
Wasowski 1980   37  0.5058  0.0065  0.0276  0.0264  0.0571  0.03
Zak 1937   20  0.5538  0.0037  0.0626  0.2067  0.0434  0.09
Zak 1951   32  0.5179  0.0046  0.0646  0.0676  0.0457  0.05
Average   1  0.6432  0.0011  0.084  0.4366  0.0427  0.13
Random 1   91  -0.1490  0.0091  0.0191  0.0143  0.1368  0.04
Random 2   89  -0.0271  0.0090  0.0290  0.0230  0.1855  0.06
Random 3   90  -0.0355  0.0089  0.0289  0.0225  0.2551  0.07

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).