Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.4323  0.0057  0.0463  0.0487  0.0274  0.03
Anderszewski 2003   44  0.4219  0.0148  0.0746  0.0770  0.0348  0.05
Ashkenazy 1981   48  0.4121  0.0060  0.0375  0.0389  0.0289  0.02
Bacha 2000   19  0.4946  0.0015  0.0619  0.3558  0.0516  0.13
Badura 1965   79  0.2618  0.0171  0.0382  0.0381  0.0378  0.03
Barbosa 1983   32  0.4526  0.0027  0.0633  0.2758  0.0521  0.12
Biret 1990   13  0.5458  0.0023  0.1318  0.3578  0.0424  0.12
Blet 2003   21  0.4855  0.0035  0.0634  0.2469  0.0336  0.08
Block 1995   82  0.2479  0.0055  0.0555  0.0565  0.0460  0.04
Blumental 1952   22  0.4870  0.0024  0.0825  0.3086  0.0237  0.08
Boshniakovich 1969   59  0.3756  0.0054  0.0556  0.0579  0.0361  0.04
Brailowsky 1960   11  0.5534  0.008  0.147  0.4333  0.255  0.33
Bunin 1987   75  0.2940  0.0082  0.0470  0.0488  0.0279  0.03
Bunin 1987b   76  0.2839  0.0081  0.0378  0.0387  0.0285  0.02
Chiu 1999   33  0.4568  0.0026  0.0731  0.2864  0.0427  0.11
Cohen 1997   17  0.515  0.023  0.216  0.465  0.493  0.47
Cortot 1951   67  0.3587  0.0076  0.0376  0.0388  0.0290  0.02
Csalog 1996   38  0.4365  0.007  0.1117  0.3627  0.276  0.31
Czerny 1949   71  0.3359  0.0074  0.0379  0.0383  0.0372  0.03
Czerny 1990   29  0.4683  0.0043  0.0643  0.1371  0.0443  0.07
Duchoud 2007   55  0.3854  0.0069  0.0462  0.0488  0.0275  0.03
Ezaki 2006   41  0.4341  0.0059  0.0377  0.0382  0.0364  0.03
Falvay 1989   27  0.4745  0.0016  0.0830  0.2951  0.0617  0.13
Farrell 1958   3  0.6144  0.009  0.1811  0.3967  0.0419  0.12
Ferenczy 1958   61  0.3738  0.0070  0.0466  0.0441  0.0846  0.06
Fliere 1977   12  0.5471  0.0018  0.078  0.4274  0.0325  0.11
Fou 1978   14  0.5424  0.005  0.144  0.5043  0.117  0.23
Francois 1956   64  0.3652  0.0063  0.0465  0.0479  0.0383  0.03
Friedman 1923   87  0.1989  0.0088  0.0384  0.0382  0.0384  0.03
Friedman 1923b   86  0.1990  0.0087  0.0386  0.0383  0.0380  0.03
Friedman 1930   84  0.2267  0.0084  0.0288  0.0285  0.0387  0.02
Garcia 2007   65  0.3676  0.0066  0.0473  0.0488  0.0276  0.03
Garcia 2007b   60  0.3773  0.0033  0.0535  0.2362  0.0432  0.10
Gierzod 1998   31  0.4527  0.0045  0.0645  0.1172  0.0442  0.07
Gornostaeva 1994   57  0.3863  0.0049  0.0551  0.0573  0.0362  0.04
Groot 1988   35  0.4311  0.0139  0.0636  0.1979  0.0338  0.08
Harasiewicz 1955   77  0.2850  0.0072  0.0287  0.0259  0.0482  0.03
Hatto 1993   9  0.5637  0.0020  0.1015  0.3643  0.1010  0.19
Hatto 1997   6  0.583  0.0721  0.1429  0.2945  0.0915  0.16
Horowitz 1949   56  0.3828  0.0065  0.0558  0.0563  0.0457  0.04
Indjic 1988   5  0.5815  0.0119  0.0616  0.3644  0.0912  0.18
Kapell 1951   42  0.427  0.0213  0.0642  0.1688  0.0245  0.06
Kissin 1993   36  0.4336  0.0037  0.0532  0.2766  0.0431  0.10
Kushner 1989   30  0.4657  0.0047  0.0648  0.0676  0.0356  0.04
Luisada 1991   4  0.6014  0.016  0.125  0.4747  0.0614  0.17
Lushtak 2004   20  0.4948  0.0025  0.0920  0.3366  0.0430  0.11
Malcuzynski 1961   78  0.2747  0.0080  0.0471  0.0477  0.0369  0.03
Magaloff 1978   26  0.4742  0.0029  0.0922  0.3171  0.0428  0.11
Magin 1975   63  0.376  0.0250  0.0550  0.0572  0.0355  0.04
Michalowski 1933   88  0.0991  0.0086  0.0383  0.0388  0.0286  0.02
Milkina 1970   7  0.574  0.034  0.233  0.5934  0.204  0.34
Mohovich 1999   23  0.4849  0.0034  0.0524  0.3061  0.0523  0.12
Moravec 1969   45  0.4125  0.0040  0.0638  0.1880  0.0339  0.07
Morozova 2008   15  0.5310  0.0122  0.1128  0.3082  0.0335  0.09
Neighaus 1950   54  0.3872  0.0064  0.0468  0.0485  0.0381  0.03
Niedzielski 1931   51  0.4012  0.0152  0.0553  0.0585  0.0354  0.04
Ohlsson 1999   24  0.488  0.0136  0.0741  0.1783  0.0341  0.07
Osinska 1989   18  0.4953  0.0010  0.1110  0.3980  0.0326  0.11
Pachmann 1927   52  0.3974  0.0041  0.0640  0.1758  0.0534  0.09
Paderewski 1930   58  0.3877  0.0053  0.0552  0.0559  0.0458  0.04
Perlemuter 1992   53  0.3920  0.0162  0.0557  0.0562  0.0451  0.04
Pierdomenico 2008   74  0.2964  0.0068  0.0461  0.0478  0.0367  0.03
Poblocka 1999   62  0.379  0.0156  0.0559  0.0573  0.0452  0.04
Rabcewiczowa 1932   66  0.3669  0.0061  0.0460  0.0477  0.0368  0.03
Rachmaninoff 1923   46  0.4117  0.0158  0.0469  0.0482  0.0366  0.03
Rangell 2001   73  0.3035  0.0051  0.0647  0.0677  0.0363  0.04
Richter 1976   80  0.2622  0.0079  0.0474  0.0442  0.1240  0.07
Rosen 1989   49  0.4132  0.0046  0.0649  0.0665  0.0449  0.05
Rosenthal 1930   69  0.3551  0.0067  0.0464  0.0468  0.0377  0.03
Rosenthal 1931   39  0.4382  0.0031  0.0521  0.3240  0.139  0.20
Rosenthal 1931b   43  0.4285  0.0032  0.0823  0.3138  0.1013  0.18
Rosenthal 1931c   50  0.4062  0.0042  0.0837  0.1865  0.0344  0.07
Rosenthal 1931d   34  0.4475  0.0028  0.0627  0.3037  0.158  0.21
Rossi 2007   85  0.2081  0.0077  0.0467  0.0463  0.0453  0.04
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.671  0.361  0.352  0.636  0.602  0.61
Rubinstein 1966   1  0.762  0.302  0.441  0.659  0.601  0.62
Schilhawsky 1960   72  0.3284  0.0075  0.0380  0.0389  0.0371  0.03
Shebanova 2002   28  0.4716  0.0112  0.1014  0.3671  0.0422  0.12
Smith 1975   47  0.4143  0.0044  0.0544  0.1289  0.0247  0.05
Sokolov 2002   68  0.3580  0.0073  0.0385  0.0370  0.0365  0.03
Sztompka 1959   70  0.3433  0.0078  0.0554  0.0583  0.0359  0.04
Tomsic 1995   40  0.4331  0.0038  0.0539  0.1849  0.0533  0.09
Uninsky 1932   83  0.2378  0.0085  0.0381  0.0386  0.0288  0.02
Uninsky 1971   81  0.2460  0.0083  0.0472  0.0483  0.0370  0.03
Wasowski 1980   25  0.4813  0.0130  0.0626  0.3057  0.0518  0.12
Zak 1937   8  0.5730  0.0011  0.099  0.4046  0.0811  0.18
Zak 1951   16  0.5266  0.0014  0.0613  0.3771  0.0420  0.12
Average   10  0.5629  0.0017  0.0612  0.3884  0.0329  0.11
Random 1   90  -0.1188  0.0089  0.0190  0.0136  0.2450  0.05
Random 2   89  -0.0861  0.0090  0.0289  0.0248  0.0573  0.03
Random 3   91  -0.1386  0.0091  0.0191  0.0189  0.0191  0.01

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).