Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.5151  0.0020  0.0726  0.1944  0.0927  0.13
Anderszewski 2003   56  0.4526  0.0148  0.0458  0.0450  0.0462  0.04
Ashkenazy 1981   1  0.646  0.0317  0.0911  0.3341  0.1221  0.20
Bacha 2000   29  0.5223  0.0131  0.0531  0.1644  0.1125  0.13
Badura 1965   68  0.4229  0.0073  0.0280  0.0267  0.0481  0.03
Barbosa 1983   67  0.4280  0.0068  0.0373  0.0360  0.0561  0.04
Biret 1990   8  0.5818  0.0111  0.078  0.3634  0.2013  0.27
Blet 2003   28  0.5236  0.0041  0.0537  0.1457  0.0542  0.08
Block 1995   86  0.2435  0.0059  0.0372  0.0349  0.0566  0.04
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   34  0.518  0.0252  0.0547  0.0543  0.1149  0.07
Brailowsky 1960   46  0.4860  0.0072  0.0282  0.0279  0.0388  0.02
Bunin 1987   77  0.3585  0.0085  0.0548  0.0575  0.0369  0.04
Bunin 1987b   80  0.3487  0.0084  0.0450  0.0479  0.0375  0.03
Chiu 1999   15  0.5649  0.0028  0.0521  0.2247  0.0630  0.11
Cohen 1997   69  0.4258  0.0080  0.0364  0.0335  0.1355  0.06
Cortot 1951   5  0.5946  0.0014  0.075  0.4113  0.422  0.41
Csalog 1996   81  0.3383  0.0079  0.0284  0.0263  0.0479  0.03
Czerny 1949   26  0.5230  0.0013  0.0614  0.3131  0.2811  0.29
Czerny 1990   2  0.632  0.112  0.202  0.4824  0.283  0.37
Duchoud 2007   63  0.4345  0.0070  0.0279  0.0270  0.0480  0.03
Ezaki 2006   13  0.5762  0.0025  0.0527  0.1865  0.0436  0.08
Falvay 1989   41  0.4916  0.0156  0.0365  0.0344  0.1253  0.06
Farrell 1958   11  0.5752  0.0021  0.0613  0.3233  0.2014  0.25
Ferenczy 1958   43  0.4913  0.026  0.1016  0.2822  0.2812  0.28
Fliere 1977   37  0.4942  0.0061  0.0277  0.0287  0.0287  0.02
Fou 1978   40  0.4944  0.0067  0.0369  0.0372  0.0474  0.03
Francois 1956   64  0.4374  0.0039  0.0542  0.0943  0.1132  0.10
Friedman 1923   61  0.4466  0.0023  0.0534  0.1518  0.3716  0.24
Friedman 1923b   59  0.4464  0.0022  0.0629  0.1718  0.3715  0.25
Friedman 1930   62  0.4361  0.0047  0.0456  0.0436  0.1934  0.09
Garcia 2007   25  0.5372  0.0043  0.0639  0.1335  0.2024  0.16
Garcia 2007b   51  0.4756  0.0032  0.0624  0.2117  0.2519  0.23
Gierzod 1998   14  0.5650  0.0012  0.0610  0.3438  0.1618  0.23
Gornostaeva 1994   74  0.3859  0.0078  0.0461  0.0467  0.0382  0.03
Groot 1988   72  0.4065  0.0076  0.0374  0.0374  0.0385  0.03
Harasiewicz 1955   66  0.4317  0.0151  0.0451  0.0487  0.0286  0.03
Hatto 1993   22  0.5369  0.0033  0.0630  0.1780  0.0351  0.07
Hatto 1997   20  0.5475  0.0035  0.0628  0.1771  0.0443  0.08
Horowitz 1949   70  0.4181  0.0063  0.0278  0.0278  0.0389  0.02
Indjic 1988   21  0.5382  0.0034  0.0533  0.1583  0.0348  0.07
Kapell 1951   30  0.525  0.045  0.093  0.4731  0.274  0.36
Kissin 1993   50  0.4734  0.0062  0.0367  0.0374  0.0378  0.03
Kushner 1989   27  0.5233  0.0042  0.0540  0.1156  0.0546  0.07
Luisada 1991   10  0.5821  0.0130  0.0522  0.2147  0.0629  0.11
Lushtak 2004   6  0.5877  0.0026  0.0520  0.2245  0.0631  0.11
Malcuzynski 1961   75  0.3724  0.0150  0.0454  0.0433  0.1540  0.08
Magaloff 1978   53  0.4663  0.0071  0.0283  0.0274  0.0473  0.03
Magin 1975   39  0.493  0.104  0.1038  0.1440  0.1226  0.13
Michalowski 1933   48  0.4731  0.0018  0.089  0.3530  0.3010  0.32
Milkina 1970   47  0.4714  0.0129  0.0541  0.1156  0.0547  0.07
Mohovich 1999   35  0.5012  0.0254  0.0455  0.0469  0.0468  0.04
Moravec 1969   9  0.581  0.281  0.281  0.503  0.621  0.56
Morozova 2008   3  0.6019  0.0119  0.0819  0.2338  0.1323  0.17
Neighaus 1950   54  0.4653  0.0049  0.0453  0.0456  0.0570  0.04
Niedzielski 1931   71  0.4025  0.0137  0.0532  0.1652  0.0439  0.08
Ohlsson 1999   49  0.4768  0.0055  0.0452  0.0485  0.0377  0.03
Osinska 1989   16  0.5611  0.029  0.076  0.3727  0.326  0.34
Pachmann 1927   85  0.2590  0.0087  0.0370  0.0380  0.0376  0.03
Paderewski 1930   7  0.5886  0.0016  0.077  0.3716  0.335  0.35
Perlemuter 1992   18  0.5522  0.0144  0.0544  0.0969  0.0452  0.06
Pierdomenico 2008   82  0.3347  0.0082  0.0457  0.0456  0.0559  0.04
Poblocka 1999   60  0.4410  0.0215  0.0718  0.2331  0.2020  0.21
Rabcewiczowa 1932   4  0.5932  0.008  0.0815  0.3017  0.397  0.34
Rachmaninoff 1923   45  0.487  0.027  0.0936  0.1564  0.0437  0.08
Rangell 2001   84  0.2570  0.0083  0.0459  0.0474  0.0383  0.03
Richter 1976   87  0.1637  0.0086  0.0287  0.0279  0.0390  0.02
Rosen 1989   38  0.4954  0.0027  0.0623  0.2136  0.1722  0.19
Rosenthal 1930   73  0.4027  0.0169  0.0276  0.0242  0.0965  0.04
Rosenthal 1931   83  0.3248  0.0077  0.0363  0.0343  0.0957  0.05
Rosenthal 1931b   78  0.3539  0.0074  0.0286  0.0233  0.1158  0.05
Rosenthal 1931c   65  0.4315  0.0157  0.0460  0.0433  0.2235  0.09
Rosenthal 1931d   79  0.3473  0.0075  0.0371  0.0373  0.0484  0.03
Rossi 2007   55  0.4520  0.0160  0.0281  0.0228  0.2345  0.07
Rubinstein 1939   44  0.4884  0.0065  0.0285  0.0224  0.3038  0.08
Rubinstein 1952   52  0.4678  0.0038  0.0543  0.0941  0.1528  0.12
Rubinstein 1966   32  0.5167  0.0066  0.0362  0.0352  0.0563  0.04
Schilhawsky 1960   58  0.4440  0.0053  0.0449  0.0471  0.0464  0.04
Shebanova 2002   24  0.5343  0.0040  0.0435  0.1566  0.0444  0.08
Smith 1975   23  0.539  0.0210  0.0912  0.3321  0.349  0.33
Sokolov 2002   57  0.4528  0.0158  0.0368  0.0352  0.0472  0.03
Sztompka 1959   12  0.574  0.103  0.134  0.4128  0.298  0.34
Tomsic 1995   76  0.3541  0.0081  0.0366  0.0346  0.0560  0.04
Uninsky 1932   17  0.5576  0.0024  0.0517  0.2534  0.2217  0.23
Uninsky 1971   42  0.4988  0.0046  0.0546  0.0542  0.1341  0.08
Wasowski 1980   36  0.5057  0.0064  0.0275  0.0263  0.0571  0.03
Zak 1937   19  0.5538  0.0036  0.0625  0.2066  0.0433  0.09
Zak 1951   31  0.5179  0.0045  0.0645  0.0675  0.0456  0.05
Random 1   90  -0.1489  0.0090  0.0190  0.0142  0.1367  0.04
Random 2   88  -0.0271  0.0089  0.0289  0.0229  0.1854  0.06
Random 3   89  -0.0355  0.0088  0.0288  0.0225  0.2550  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).