Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.2530  0.0069  0.0371  0.0379  0.0365  0.03
Anderszewski 2003   25  0.3217  0.0127  0.0933  0.2456  0.0337  0.08
Ashkenazy 1981   45  0.2750  0.0043  0.0542  0.1184  0.0345  0.06
Bacha 2000   24  0.3240  0.0031  0.0734  0.2478  0.0334  0.08
Badura 1965   74  0.1627  0.0065  0.0455  0.0482  0.0367  0.03
Barbosa 1983   44  0.2856  0.0033  0.0931  0.2573  0.0432  0.10
Biret 1990   13  0.4051  0.0016  0.0721  0.3871  0.0424  0.12
Blet 2003   37  0.2839  0.0064  0.0456  0.0486  0.0263  0.03
Block 1995   81  0.1264  0.0071  0.0379  0.0387  0.0283  0.02
Blumental 1952   50  0.2658  0.0034  0.0536  0.1771  0.0438  0.08
Boshniakovich 1969   69  0.2078  0.0038  0.0638  0.1568  0.0341  0.07
Brailowsky 1960   5  0.4615  0.016  0.245  0.5224  0.345  0.42
Bunin 1987   34  0.2929  0.0059  0.0460  0.0488  0.0270  0.03
Bunin 1987b   32  0.295  0.0558  0.0465  0.0489  0.0262  0.03
Chiu 1999   31  0.2921  0.0017  0.0811  0.4364  0.0419  0.13
Cohen 1997   17  0.387  0.034  0.216  0.507  0.504  0.50
Cortot 1951   70  0.2041  0.0081  0.0385  0.0391  0.0186  0.02
Csalog 1996   16  0.386  0.045  0.2013  0.4326  0.356  0.39
Czerny 1949   56  0.2433  0.0055  0.0553  0.0579  0.0352  0.04
Czerny 1990   63  0.2337  0.0074  0.0372  0.0387  0.0285  0.02
Duchoud 2007   21  0.3472  0.0042  0.0543  0.1177  0.0344  0.06
Ezaki 2006   66  0.2167  0.0076  0.0464  0.0486  0.0257  0.03
Falvay 1989   15  0.3910  0.028  0.167  0.4855  0.0518  0.15
Farrell 1958   7  0.4332  0.0021  0.0919  0.3960  0.0423  0.12
Ferenczy 1958   52  0.2535  0.0073  0.0378  0.0362  0.0464  0.03
Fliere 1977   22  0.3475  0.0030  0.0724  0.3578  0.0330  0.10
Fou 1978   11  0.4225  0.007  0.194  0.5455  0.0516  0.16
Francois 1956   57  0.2426  0.0070  0.0459  0.0485  0.0272  0.03
Friedman 1923   90  -0.1173  0.0091  0.0191  0.0191  0.0191  0.01
Friedman 1923b   89  -0.1183  0.0090  0.0190  0.0191  0.0190  0.01
Friedman 1930   88  -0.0547  0.0089  0.0287  0.0291  0.0188  0.01
Garcia 2007   82  0.0787  0.0080  0.0373  0.0388  0.0282  0.02
Garcia 2007b   80  0.1360  0.0057  0.0458  0.0463  0.0456  0.04
Gierzod 1998   51  0.2668  0.0053  0.0647  0.0685  0.0266  0.03
Gornostaeva 1994   30  0.3012  0.0124  0.0830  0.2845  0.1015  0.17
Groot 1988   38  0.2852  0.0036  0.0539  0.1483  0.0248  0.05
Harasiewicz 1955   76  0.1520  0.0054  0.0646  0.0684  0.0355  0.04
Hatto 1993   8  0.4353  0.0011  0.1712  0.4331  0.2410  0.32
Hatto 1997   4  0.474  0.099  0.1415  0.4229  0.249  0.32
Horowitz 1949   35  0.2846  0.0041  0.0637  0.1785  0.0339  0.07
Indjic 1988   6  0.4569  0.0010  0.1514  0.4330  0.247  0.32
Kapell 1951   40  0.2816  0.0150  0.0548  0.0583  0.0350  0.04
Kissin 1993   67  0.2179  0.0037  0.0635  0.2082  0.0336  0.08
Kushner 1989   33  0.2980  0.0047  0.0462  0.0479  0.0361  0.03
Luisada 1991   9  0.4238  0.0013  0.1210  0.4454  0.0517  0.15
Lushtak 2004   65  0.2270  0.0052  0.0550  0.0587  0.0268  0.03
Malcuzynski 1961   62  0.2376  0.0077  0.0381  0.0388  0.0276  0.02
Magaloff 1978   48  0.2665  0.0044  0.0544  0.1082  0.0347  0.05
Magin 1975   55  0.2419  0.0046  0.0551  0.0586  0.0260  0.03
Michalowski 1933   85  0.0242  0.0082  0.0383  0.0386  0.0279  0.02
Milkina 1970   2  0.523  0.133  0.321  0.6214  0.413  0.50
Mohovich 1999   53  0.2591  0.0067  0.0549  0.0585  0.0354  0.04
Moravec 1969   18  0.3711  0.0228  0.0726  0.3364  0.0425  0.11
Morozova 2008   14  0.4024  0.0012  0.0818  0.4180  0.0327  0.11
Neighaus 1950   59  0.2477  0.0060  0.0370  0.0374  0.0471  0.03
Niedzielski 1931   49  0.2659  0.0048  0.0454  0.0444  0.0843  0.06
Ohlsson 1999   10  0.4222  0.0020  0.0620  0.3882  0.0326  0.11
Osinska 1989   28  0.3034  0.0019  0.1022  0.3665  0.0422  0.12
Pachmann 1927   36  0.2818  0.0015  0.0717  0.4143  0.1214  0.22
Paderewski 1930   73  0.1688  0.0075  0.0374  0.0389  0.0277  0.02
Perlemuter 1992   72  0.1661  0.0072  0.0376  0.0387  0.0273  0.02
Pierdomenico 2008   71  0.1781  0.0040  0.0441  0.1285  0.0342  0.06
Poblocka 1999   47  0.2645  0.0051  0.0552  0.0579  0.0449  0.04
Rabcewiczowa 1932   75  0.1557  0.0079  0.0375  0.0390  0.0275  0.02
Rachmaninoff 1923   58  0.2414  0.0161  0.0468  0.0480  0.0358  0.03
Rangell 2001   29  0.3071  0.0026  0.0923  0.3666  0.0333  0.10
Richter 1976   61  0.238  0.0349  0.0466  0.0442  0.1440  0.07
Rosen 1989   68  0.2062  0.0068  0.0457  0.0488  0.0369  0.03
Rosenthal 1930   46  0.2728  0.0045  0.0445  0.0983  0.0253  0.04
Rosenthal 1931   19  0.359  0.0214  0.088  0.4829  0.228  0.32
Rosenthal 1931b   27  0.3154  0.0023  0.0816  0.4138  0.1712  0.26
Rosenthal 1931c   41  0.2823  0.0039  0.0540  0.1481  0.0346  0.06
Rosenthal 1931d   23  0.3331  0.0025  0.099  0.4634  0.1511  0.26
Rossi 2007   91  -0.1182  0.0087  0.0288  0.0291  0.0187  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  0.5811  0.492  0.53
Schilhawsky 1960   79  0.1336  0.0083  0.0380  0.0389  0.0281  0.02
Shebanova 2002   39  0.2889  0.0018  0.0929  0.2951  0.0620  0.13
Smith 1975   60  0.2355  0.0063  0.0469  0.0489  0.0259  0.03
Sokolov 2002   64  0.2249  0.0078  0.0377  0.0389  0.0174  0.02
Sztompka 1959   78  0.1484  0.0084  0.0384  0.0388  0.0278  0.02
Tomsic 1995   43  0.2863  0.0056  0.0461  0.0454  0.0551  0.04
Uninsky 1932   83  0.0585  0.0088  0.0289  0.0291  0.0189  0.01
Uninsky 1971   77  0.1444  0.0085  0.0382  0.0389  0.0180  0.02
Wasowski 1980   20  0.3548  0.0022  0.1025  0.3543  0.1413  0.22
Zak 1937   26  0.3290  0.0032  0.1028  0.3185  0.0331  0.10
Zak 1951   42  0.2886  0.0035  0.0632  0.2486  0.0335  0.08
Average   12  0.4113  0.0129  0.0727  0.3172  0.0428  0.11
Random 1   86  0.0166  0.0062  0.0467  0.0410  0.4221  0.13
Random 2   84  0.0243  0.0066  0.0463  0.0422  0.2829  0.11
Random 3   87  -0.0374  0.0086  0.0286  0.0283  0.0284  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).