Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.4149  0.0015  0.1017  0.4511  0.5913  0.52
Anderszewski 2003   3  0.532  0.182  0.453  0.731  0.861  0.79
Ashkenazy 1981   35  0.3653  0.0035  0.0534  0.2054  0.0755  0.12
Bacha 2000   40  0.3537  0.0036  0.0538  0.1517  0.5032  0.27
Badura 1965   42  0.3525  0.0047  0.0478  0.0412  0.5547  0.15
Barbosa 1983   4  0.503  0.055  0.165  0.585  0.684  0.63
Biret 1990   79  0.2276  0.0079  0.0551  0.0544  0.1260  0.08
Blet 2003   72  0.2582  0.0071  0.0746  0.0759  0.0667  0.06
Block 1995   19  0.4162  0.0026  0.0725  0.3132  0.3826  0.34
Blumental 1952   20  0.416  0.0316  0.1014  0.4716  0.5615  0.51
Boshniakovich 1969   55  0.3272  0.0028  0.0831  0.2531  0.3431  0.29
Brailowsky 1960   61  0.317  0.0134  0.0541  0.1126  0.4637  0.22
Bunin 1987   87  0.1384  0.0087  0.0386  0.0369  0.0488  0.03
Bunin 1987b   86  0.1385  0.0086  0.0383  0.0365  0.0579  0.04
Chiu 1999   28  0.3866  0.0067  0.0648  0.0655  0.0764  0.06
Cohen 1997   30  0.3748  0.0025  0.0729  0.2615  0.5625  0.38
Cortot 1951   69  0.2886  0.0073  0.0473  0.0455  0.0584  0.04
Csalog 1996   68  0.2820  0.0064  0.0557  0.0535  0.2657  0.11
Czerny 1949   71  0.2673  0.0070  0.0553  0.0532  0.5345  0.16
Czerny 1990   48  0.3374  0.0055  0.0559  0.0538  0.3351  0.13
Duchoud 2007   27  0.3841  0.0053  0.0472  0.0448  0.0868  0.06
Ezaki 2006   47  0.3342  0.0057  0.0552  0.0532  0.3250  0.13
Falvay 1989   37  0.3530  0.0029  0.0830  0.2522  0.3729  0.30
Farrell 1958   63  0.3014  0.0143  0.0544  0.0936  0.2743  0.16
Ferenczy 1958   45  0.3423  0.0033  0.0732  0.2511  0.7819  0.44
Fliere 1977   50  0.3377  0.0062  0.0470  0.0459  0.0575  0.04
Fou 1978   5  0.4816  0.014  0.314  0.635  0.653  0.64
Francois 1956   46  0.3367  0.0037  0.0635  0.1618  0.6128  0.31
Friedman 1923   77  0.2287  0.0082  0.0384  0.0369  0.0489  0.03
Friedman 1923b   83  0.2078  0.0084  0.0388  0.0368  0.0583  0.04
Friedman 1930   80  0.2159  0.0083  0.0289  0.0264  0.0587  0.03
Garcia 2007   13  0.434  0.056  0.1513  0.4814  0.5714  0.52
Garcia 2007b   85  0.1679  0.0075  0.0380  0.0355  0.0685  0.04
Gierzod 1998   60  0.3145  0.0040  0.0540  0.1320  0.5734  0.27
Gornostaeva 1994   33  0.3750  0.0046  0.0468  0.0425  0.5348  0.15
Groot 1988   32  0.3763  0.0045  0.0445  0.0750  0.0763  0.07
Harasiewicz 1955   7  0.4664  0.009  0.109  0.4914  0.5217  0.50
Hatto 1993   16  0.4218  0.0017  0.0823  0.3637  0.2530  0.30
Hatto 1997   11  0.4315  0.0118  0.1118  0.4313  0.5118  0.47
Horowitz 1949   73  0.2580  0.0074  0.0562  0.0565  0.0571  0.05
Indjic 1988   29  0.3717  0.0119  0.1027  0.2741  0.2035  0.23
Kapell 1951   23  0.4054  0.0027  0.0924  0.3227  0.3327  0.32
Kissin 1993   43  0.3551  0.0024  0.0921  0.3727  0.5120  0.43
Kushner 1989   10  0.4444  0.0012  0.0815  0.4617  0.5516  0.50
Luisada 1991   26  0.3821  0.0031  0.0833  0.2333  0.3233  0.27
Lushtak 2004   8  0.4519  0.007  0.158  0.508  0.5911  0.54
Malcuzynski 1961   62  0.3146  0.0065  0.0747  0.0764  0.0565  0.06
Magaloff 1978   70  0.2760  0.0063  0.0469  0.0453  0.0577  0.04
Magin 1975   78  0.2270  0.0076  0.0379  0.0359  0.0678  0.04
Michalowski 1933   76  0.2356  0.0078  0.0564  0.0562  0.0673  0.05
Milkina 1970   14  0.4211  0.018  0.096  0.534  0.725  0.62
Mohovich 1999   2  0.545  0.043  0.402  0.771  0.812  0.79
Moravec 1969   36  0.3610  0.0138  0.0637  0.1527  0.3336  0.22
Morozova 2008   22  0.4028  0.0042  0.0542  0.1067  0.0562  0.07
Neighaus 1950   17  0.419  0.0114  0.1010  0.4824  0.3621  0.42
Niedzielski 1931   44  0.3438  0.0039  0.0636  0.1530  0.2739  0.20
Ohlsson 1999   59  0.318  0.0159  0.0471  0.0461  0.0481  0.04
Osinska 1989   56  0.3247  0.0052  0.0563  0.0532  0.4049  0.14
Pachmann 1927   81  0.2181  0.0085  0.0381  0.0374  0.0580  0.04
Paderewski 1930   58  0.3268  0.0050  0.0566  0.0540  0.2656  0.11
Perlemuter 1992   51  0.3343  0.0058  0.0650  0.0642  0.2653  0.12
Pierdomenico 2008   67  0.2836  0.0072  0.0555  0.0545  0.0961  0.07
Poblocka 1999   57  0.3227  0.0041  0.0539  0.1435  0.2740  0.19
Rabcewiczowa 1932   21  0.4157  0.0020  0.0816  0.4613  0.727  0.58
Rachmaninoff 1923   66  0.2988  0.0068  0.0561  0.0549  0.0570  0.05
Rangell 2001   9  0.4424  0.0010  0.087  0.516  0.628  0.56
Richter 1976   34  0.3639  0.0066  0.0554  0.0549  0.0866  0.06
Rosen 1989   12  0.4322  0.0023  0.0922  0.3729  0.4324  0.40
Rosenthal 1930   41  0.3526  0.0056  0.0474  0.0441  0.2558  0.10
Rosenthal 1931   31  0.3712  0.0121  0.0820  0.4012  0.6812  0.52
Rosenthal 1931b   39  0.3552  0.0032  0.0826  0.2714  0.6622  0.42
Rosenthal 1931c   38  0.3565  0.0051  0.0558  0.0516  0.5542  0.17
Rosenthal 1931d   75  0.2455  0.0061  0.0467  0.0422  0.4552  0.13
Rossi 2007   88  0.0575  0.0088  0.0385  0.0349  0.0576  0.04
Rubinstein 1939   6  0.4613  0.0111  0.0812  0.485  0.639  0.55
Rubinstein 1952   15  0.4234  0.0013  0.1011  0.487  0.6410  0.55
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   84  0.1871  0.0081  0.0382  0.0352  0.0582  0.04
Shebanova 2002   25  0.3931  0.0030  0.0828  0.2645  0.1838  0.22
Smith 1975   53  0.3329  0.0054  0.0560  0.0523  0.4646  0.15
Sokolov 2002   82  0.2089  0.0080  0.0476  0.0465  0.0386  0.03
Sztompka 1959   54  0.3369  0.0060  0.0565  0.0568  0.0572  0.05
Tomsic 1995   65  0.2983  0.0044  0.0443  0.0920  0.3241  0.17
Uninsky 1932   64  0.3035  0.0069  0.0556  0.0558  0.0574  0.05
Uninsky 1971   24  0.4032  0.0022  0.0919  0.4118  0.4023  0.40
Wasowski 1980   74  0.2461  0.0077  0.0475  0.0455  0.0669  0.05
Zak 1937   52  0.3358  0.0048  0.0477  0.0432  0.3454  0.12
Zak 1951   49  0.3340  0.0049  0.0649  0.0624  0.4244  0.16
Average   1  0.621  0.481  0.471  0.8122  0.446  0.60
Random 1   90  -0.0590  0.0090  0.0290  0.0280  0.0290  0.02
Random 2   89  0.0333  0.0089  0.0387  0.0332  0.2359  0.08
Random 3   91  -0.1291  0.0091  0.0191  0.0184  0.0291  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).