Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.2530  0.0068  0.0370  0.0378  0.0367  0.03
Anderszewski 2003   24  0.3216  0.0128  0.0932  0.2455  0.0336  0.08
Ashkenazy 1981   44  0.2745  0.0042  0.0541  0.1183  0.0344  0.06
Bacha 2000   23  0.3241  0.0030  0.0733  0.2477  0.0333  0.08
Badura 1965   73  0.1626  0.0064  0.0554  0.0581  0.0353  0.04
Barbosa 1983   43  0.2855  0.0032  0.0930  0.2572  0.0430  0.10
Biret 1990   12  0.4051  0.0016  0.0721  0.3870  0.0424  0.12
Blet 2003   36  0.2838  0.0063  0.0455  0.0485  0.0265  0.03
Block 1995   80  0.1263  0.0070  0.0378  0.0386  0.0282  0.02
Blumental 1952   49  0.2656  0.0033  0.0535  0.1770  0.0437  0.08
Boshniakovich 1969   68  0.2077  0.0037  0.0637  0.1567  0.0340  0.07
Brailowsky 1960   5  0.4614  0.016  0.245  0.5223  0.345  0.42
Bunin 1987   33  0.2928  0.0058  0.0459  0.0487  0.0270  0.03
Bunin 1987b   31  0.295  0.0557  0.0464  0.0488  0.0264  0.03
Chiu 1999   30  0.2920  0.0017  0.0811  0.4363  0.0419  0.13
Cohen 1997   16  0.387  0.034  0.216  0.507  0.504  0.50
Cortot 1951   69  0.2042  0.0080  0.0384  0.0390  0.0185  0.02
Csalog 1996   15  0.386  0.045  0.2013  0.4325  0.356  0.39
Czerny 1949   55  0.2432  0.0054  0.0552  0.0578  0.0351  0.04
Czerny 1990   62  0.2336  0.0073  0.0371  0.0386  0.0284  0.02
Duchoud 2007   20  0.3468  0.0041  0.0542  0.1176  0.0343  0.06
Ezaki 2006   65  0.2157  0.0075  0.0463  0.0485  0.0259  0.03
Falvay 1989   14  0.3910  0.028  0.167  0.4854  0.0518  0.15
Farrell 1958   7  0.4331  0.0022  0.1019  0.3959  0.0423  0.12
Ferenczy 1958   51  0.2533  0.0072  0.0377  0.0361  0.0466  0.03
Fliere 1977   21  0.3475  0.0029  0.0724  0.3577  0.0328  0.10
Fou 1978   11  0.4223  0.007  0.194  0.5454  0.0516  0.16
Francois 1956   56  0.2425  0.0069  0.0458  0.0484  0.0271  0.03
Friedman 1923   89  -0.1173  0.0090  0.0190  0.0190  0.0190  0.01
Friedman 1923b   88  -0.1182  0.0089  0.0189  0.0190  0.0189  0.01
Friedman 1930   87  -0.0549  0.0088  0.0286  0.0290  0.0187  0.01
Garcia 2007   81  0.0786  0.0079  0.0372  0.0387  0.0281  0.02
Garcia 2007b   79  0.1360  0.0056  0.0457  0.0462  0.0458  0.04
Gierzod 1998   50  0.2670  0.0052  0.0646  0.0684  0.0268  0.03
Gornostaeva 1994   29  0.3012  0.0125  0.0829  0.2844  0.1015  0.17
Groot 1988   37  0.2840  0.0035  0.0538  0.1482  0.0247  0.05
Harasiewicz 1955   75  0.1519  0.0053  0.0645  0.0683  0.0357  0.04
Hatto 1993   8  0.4352  0.0011  0.1712  0.4330  0.2410  0.32
Hatto 1997   4  0.474  0.099  0.1415  0.4228  0.249  0.32
Horowitz 1949   34  0.2848  0.0040  0.0636  0.1784  0.0338  0.07
Indjic 1988   6  0.4571  0.0010  0.1514  0.4329  0.247  0.32
Kapell 1951   39  0.2815  0.0149  0.0547  0.0582  0.0349  0.04
Kissin 1993   66  0.2178  0.0036  0.0634  0.2081  0.0335  0.08
Kushner 1989   32  0.2979  0.0046  0.0461  0.0478  0.0363  0.03
Luisada 1991   9  0.4237  0.0013  0.1210  0.4453  0.0517  0.15
Lushtak 2004   64  0.2265  0.0051  0.0549  0.0586  0.0354  0.04
Malcuzynski 1961   61  0.2376  0.0076  0.0380  0.0387  0.0275  0.02
Magaloff 1978   47  0.2666  0.0043  0.0543  0.1081  0.0346  0.05
Magin 1975   54  0.2418  0.0045  0.0550  0.0585  0.0262  0.03
Michalowski 1933   84  0.0243  0.0081  0.0382  0.0385  0.0278  0.02
Milkina 1970   2  0.523  0.133  0.321  0.6213  0.413  0.50
Mohovich 1999   52  0.2590  0.0066  0.0548  0.0584  0.0355  0.04
Moravec 1969   17  0.3711  0.0220  0.0626  0.3363  0.0425  0.11
Morozova 2008   13  0.4024  0.0012  0.0818  0.4179  0.0327  0.11
Neighaus 1950   58  0.2467  0.0059  0.0469  0.0473  0.0456  0.04
Niedzielski 1931   48  0.2659  0.0047  0.0553  0.0543  0.0842  0.06
Ohlsson 1999   10  0.4221  0.0021  0.0720  0.3881  0.0326  0.11
Osinska 1989   27  0.3034  0.0019  0.1022  0.3664  0.0422  0.12
Pachmann 1927   35  0.2817  0.0015  0.0717  0.4142  0.1214  0.22
Paderewski 1930   72  0.1687  0.0074  0.0373  0.0388  0.0276  0.02
Perlemuter 1992   71  0.1661  0.0071  0.0375  0.0386  0.0272  0.02
Pierdomenico 2008   70  0.1780  0.0039  0.0440  0.1284  0.0341  0.06
Poblocka 1999   46  0.2646  0.0050  0.0551  0.0578  0.0448  0.04
Rabcewiczowa 1932   74  0.1558  0.0078  0.0374  0.0389  0.0274  0.02
Rachmaninoff 1923   57  0.2413  0.0160  0.0467  0.0479  0.0360  0.03
Rangell 2001   28  0.3072  0.0027  0.0923  0.3665  0.0332  0.10
Richter 1976   60  0.238  0.0348  0.0465  0.0441  0.1439  0.07
Rosen 1989   67  0.2064  0.0067  0.0456  0.0487  0.0369  0.03
Rosenthal 1930   45  0.2727  0.0044  0.0544  0.0982  0.0252  0.04
Rosenthal 1931   18  0.359  0.0214  0.088  0.4828  0.228  0.32
Rosenthal 1931b   26  0.3153  0.0024  0.0916  0.4137  0.1712  0.26
Rosenthal 1931c   40  0.2822  0.0038  0.0539  0.1480  0.0345  0.06
Rosenthal 1931d   22  0.3329  0.0026  0.099  0.4633  0.1511  0.26
Rossi 2007   90  -0.1181  0.0086  0.0287  0.0290  0.0186  0.01
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   3  0.511  0.251  0.252  0.618  0.521  0.56
Rubinstein 1966   1  0.602  0.192  0.263  0.5810  0.492  0.53
Schilhawsky 1960   78  0.1335  0.0082  0.0379  0.0388  0.0280  0.02
Shebanova 2002   38  0.2888  0.0018  0.0928  0.2950  0.0620  0.13
Smith 1975   59  0.2354  0.0062  0.0468  0.0488  0.0261  0.03
Sokolov 2002   63  0.2250  0.0077  0.0376  0.0388  0.0173  0.02
Sztompka 1959   77  0.1483  0.0083  0.0383  0.0387  0.0277  0.02
Tomsic 1995   42  0.2862  0.0055  0.0460  0.0453  0.0550  0.04
Uninsky 1932   82  0.0584  0.0087  0.0288  0.0290  0.0188  0.01
Uninsky 1971   76  0.1439  0.0084  0.0381  0.0388  0.0179  0.02
Wasowski 1980   19  0.3547  0.0023  0.1225  0.3542  0.1413  0.22
Zak 1937   25  0.3289  0.0031  0.1027  0.3184  0.0329  0.10
Zak 1951   41  0.2885  0.0034  0.0631  0.2485  0.0334  0.08
Random 1   85  0.0169  0.0061  0.0466  0.0410  0.4121  0.13
Random 2   83  0.0244  0.0065  0.0462  0.0423  0.2731  0.10
Random 3   86  -0.0374  0.0085  0.0285  0.0282  0.0283  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).