Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.6231  0.0028  0.0832  0.2755  0.0441  0.10
Anderszewski 2003   48  0.5320  0.0062  0.0470  0.0459  0.0381  0.03
Ashkenazy 1981   41  0.5632  0.0048  0.0556  0.0582  0.0371  0.04
Bacha 2000   22  0.6413  0.0135  0.0629  0.2940  0.1725  0.22
Badura 1965   66  0.4652  0.0056  0.0465  0.0460  0.0468  0.04
Barbosa 1983   26  0.6228  0.0013  0.1816  0.517  0.557  0.53
Biret 1990   13  0.6745  0.0025  0.1127  0.3758  0.0534  0.14
Blet 2003   15  0.6647  0.0020  0.0817  0.4527  0.2714  0.35
Block 1995   75  0.4129  0.0052  0.0560  0.0554  0.0469  0.04
Blumental 1952   51  0.5168  0.0060  0.0553  0.0563  0.0370  0.04
Boshniakovich 1969   52  0.5181  0.0053  0.0647  0.0657  0.0554  0.05
Brailowsky 1960   23  0.6369  0.0037  0.0833  0.2741  0.2024  0.23
Bunin 1987   81  0.3582  0.0085  0.0473  0.0481  0.0386  0.03
Bunin 1987b   82  0.3474  0.0084  0.0288  0.0279  0.0389  0.02
Chiu 1999   36  0.5830  0.0019  0.0722  0.4127  0.2716  0.33
Cohen 1997   61  0.4839  0.0031  0.0837  0.2311  0.3821  0.30
Cortot 1951   56  0.5177  0.0071  0.0466  0.0477  0.0473  0.04
Csalog 1996   49  0.5344  0.0029  0.0731  0.2713  0.4315  0.34
Czerny 1949   62  0.4748  0.0051  0.0552  0.0554  0.0553  0.05
Czerny 1990   18  0.667  0.0318  0.0728  0.3543  0.0928  0.18
Duchoud 2007   57  0.4957  0.0069  0.0469  0.0480  0.0384  0.03
Ezaki 2006   16  0.6622  0.0015  0.1315  0.5236  0.1718  0.30
Falvay 1989   24  0.6324  0.0027  0.1026  0.3726  0.3812  0.37
Farrell 1958   9  0.6837  0.0024  0.0820  0.4232  0.2219  0.30
Ferenczy 1958   54  0.5114  0.0073  0.0476  0.0465  0.0463  0.04
Fliere 1977   6  0.7088  0.0011  0.136  0.6347  0.0627  0.19
Fou 1978   12  0.6812  0.013  0.215  0.656  0.515  0.58
Francois 1956   40  0.5721  0.0043  0.0742  0.1652  0.0546  0.09
Friedman 1923   85  0.2975  0.0088  0.0477  0.0475  0.0575  0.04
Friedman 1923b   86  0.2986  0.0087  0.0480  0.0478  0.0472  0.04
Friedman 1930   83  0.3372  0.0078  0.0385  0.0373  0.0483  0.03
Garcia 2007   77  0.4071  0.0079  0.0382  0.0376  0.0385  0.03
Garcia 2007b   87  0.2780  0.0080  0.0468  0.0485  0.0288  0.03
Gierzod 1998   39  0.5742  0.0050  0.0555  0.0577  0.0366  0.04
Gornostaeva 1994   44  0.5450  0.0040  0.0743  0.1550  0.0545  0.09
Groot 1988   8  0.695  0.0510  0.133  0.725  0.562  0.63
Harasiewicz 1955   76  0.4046  0.0047  0.0650  0.0663  0.0456  0.05
Hatto 1993   37  0.5836  0.0039  0.0838  0.2341  0.1230  0.17
Hatto 1997   28  0.6217  0.0033  0.0835  0.2457  0.0538  0.11
Horowitz 1949   63  0.4770  0.0058  0.0554  0.0576  0.0361  0.04
Indjic 1988   31  0.6035  0.0038  0.0736  0.2356  0.0537  0.11
Kapell 1951   46  0.5425  0.0045  0.0645  0.1244  0.0840  0.10
Kissin 1993   25  0.6318  0.0017  0.1114  0.5336  0.1622  0.29
Kushner 1989   17  0.6638  0.0023  0.0819  0.4467  0.0436  0.13
Luisada 1991   11  0.6853  0.0014  0.1812  0.5631  0.3210  0.42
Lushtak 2004   20  0.6555  0.0016  0.1218  0.4431  0.2020  0.30
Malcuzynski 1961   71  0.4478  0.0076  0.0463  0.0451  0.0460  0.04
Magaloff 1978   29  0.6156  0.0036  0.0730  0.2951  0.0635  0.13
Magin 1975   72  0.4458  0.0072  0.0386  0.0377  0.0378  0.03
Michalowski 1933   88  0.2183  0.0086  0.0387  0.0376  0.0380  0.03
Milkina 1970   5  0.7111  0.015  0.197  0.6219  0.388  0.49
Mohovich 1999   3  0.744  0.056  0.192  0.7519  0.456  0.58
Moravec 1969   55  0.5134  0.0066  0.0479  0.0459  0.0457  0.04
Morozova 2008   32  0.6033  0.0021  0.1123  0.4046  0.0533  0.14
Neighaus 1950   34  0.5943  0.0034  0.0734  0.2475  0.0442  0.10
Niedzielski 1931   69  0.4584  0.0074  0.0471  0.0468  0.0377  0.03
Ohlsson 1999   30  0.6119  0.0044  0.0744  0.1451  0.0547  0.08
Osinska 1989   10  0.688  0.034  0.1810  0.5719  0.419  0.48
Pachmann 1927   50  0.5267  0.0057  0.0559  0.0545  0.0848  0.06
Paderewski 1930   42  0.5660  0.0049  0.0649  0.0647  0.0552  0.05
Perlemuter 1992   38  0.5723  0.0041  0.0639  0.2039  0.1131  0.15
Pierdomenico 2008   67  0.4549  0.0054  0.0462  0.0454  0.0651  0.05
Poblocka 1999   53  0.5126  0.0061  0.0551  0.0578  0.0358  0.04
Rabcewiczowa 1932   45  0.5465  0.0042  0.0640  0.1848  0.0543  0.09
Rachmaninoff 1923   58  0.4815  0.0063  0.0467  0.0481  0.0376  0.03
Rangell 2001   60  0.4816  0.0032  0.0841  0.1736  0.1929  0.18
Richter 1976   80  0.3576  0.0081  0.0383  0.0374  0.0379  0.03
Rosen 1989   35  0.5941  0.0030  0.0825  0.3841  0.1226  0.21
Rosenthal 1930   74  0.4385  0.0077  0.0561  0.0580  0.0367  0.04
Rosenthal 1931   70  0.4563  0.0055  0.0464  0.0432  0.1944  0.09
Rosenthal 1931b   73  0.4390  0.0067  0.0474  0.0452  0.0574  0.04
Rosenthal 1931c   64  0.4789  0.0064  0.0472  0.0463  0.0387  0.03
Rosenthal 1931d   68  0.4566  0.0065  0.0384  0.0346  0.0755  0.05
Rossi 2007   84  0.3164  0.0068  0.0475  0.0426  0.2639  0.10
Rubinstein 1939   1  0.762  0.202  0.409  0.601  0.653  0.62
Rubinstein 1952   4  0.731  0.311  0.311  0.761  0.711  0.73
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   65  0.4759  0.0070  0.0381  0.0380  0.0382  0.03
Shebanova 2002   21  0.6562  0.0022  0.0721  0.4141  0.1623  0.26
Smith 1975   33  0.5927  0.0026  0.0924  0.3949  0.0532  0.14
Sokolov 2002   59  0.4840  0.0075  0.0558  0.0565  0.0459  0.04
Sztompka 1959   47  0.5454  0.0059  0.0746  0.0765  0.0549  0.06
Tomsic 1995   19  0.659  0.0112  0.1511  0.575  0.624  0.59
Uninsky 1932   79  0.3673  0.0083  0.0557  0.0584  0.0364  0.04
Uninsky 1971   78  0.3751  0.0082  0.0478  0.0478  0.0462  0.04
Wasowski 1980   43  0.5561  0.0046  0.0648  0.0680  0.0450  0.05
Zak 1937   7  0.706  0.058  0.1213  0.5330  0.2613  0.37
Zak 1951   14  0.6610  0.019  0.138  0.6026  0.2711  0.40
Average   2  0.743  0.137  0.184  0.6738  0.1617  0.33
Random 1   91  -0.1879  0.0091  0.0191  0.0179  0.0290  0.01
Random 2   89  -0.0587  0.0089  0.0289  0.0245  0.0865  0.04
Random 3   90  -0.0891  0.0090  0.0190  0.0173  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).