Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.6232  0.0027  0.0831  0.2754  0.0440  0.10
Anderszewski 2003   47  0.5324  0.0061  0.0469  0.0458  0.0380  0.03
Ashkenazy 1981   40  0.5635  0.0047  0.0555  0.0581  0.0369  0.04
Bacha 2000   21  0.6415  0.0134  0.0728  0.2939  0.1724  0.22
Badura 1965   65  0.4653  0.0055  0.0464  0.0459  0.0466  0.04
Barbosa 1983   25  0.6229  0.0012  0.1815  0.516  0.557  0.53
Biret 1990   12  0.6745  0.0024  0.1126  0.3757  0.0533  0.14
Blet 2003   14  0.6648  0.0019  0.0816  0.4526  0.2714  0.35
Block 1995   74  0.4130  0.0051  0.0559  0.0553  0.0467  0.04
Blumental 1952   50  0.5168  0.0059  0.0552  0.0562  0.0368  0.04
Boshniakovich 1969   51  0.5182  0.0052  0.0646  0.0656  0.0553  0.05
Brailowsky 1960   22  0.6369  0.0036  0.0832  0.2740  0.2023  0.23
Bunin 1987   80  0.3583  0.0084  0.0472  0.0480  0.0386  0.03
Bunin 1987b   81  0.3474  0.0083  0.0287  0.0278  0.0388  0.02
Chiu 1999   35  0.5831  0.0018  0.0721  0.4126  0.2716  0.33
Cohen 1997   60  0.4841  0.0030  0.0936  0.2311  0.3820  0.30
Cortot 1951   55  0.5175  0.0070  0.0465  0.0476  0.0471  0.04
Csalog 1996   48  0.5346  0.0028  0.0730  0.2713  0.4315  0.34
Czerny 1949   61  0.4749  0.0050  0.0551  0.0553  0.0552  0.05
Czerny 1990   17  0.667  0.0317  0.0727  0.3542  0.0927  0.18
Duchoud 2007   56  0.4960  0.0068  0.0468  0.0479  0.0384  0.03
Ezaki 2006   15  0.663  0.0614  0.1314  0.5235  0.1717  0.30
Falvay 1989   23  0.6313  0.0126  0.1025  0.3725  0.3812  0.37
Farrell 1958   8  0.6833  0.0023  0.0819  0.4231  0.2218  0.30
Ferenczy 1958   53  0.5121  0.0172  0.0475  0.0464  0.0462  0.04
Fliere 1977   5  0.7020  0.0110  0.135  0.6346  0.0626  0.19
Fou 1978   11  0.6810  0.013  0.224  0.655  0.515  0.58
Francois 1956   39  0.5726  0.0042  0.0741  0.1651  0.0545  0.09
Friedman 1923   84  0.2976  0.0087  0.0476  0.0474  0.0574  0.04
Friedman 1923b   85  0.2986  0.0086  0.0479  0.0477  0.0470  0.04
Friedman 1930   82  0.3372  0.0077  0.0384  0.0372  0.0482  0.03
Garcia 2007   76  0.4071  0.0078  0.0381  0.0375  0.0385  0.03
Garcia 2007b   86  0.2780  0.0079  0.0467  0.0484  0.0287  0.03
Gierzod 1998   38  0.5743  0.0049  0.0554  0.0576  0.0364  0.04
Gornostaeva 1994   43  0.5451  0.0039  0.0742  0.1549  0.0544  0.09
Groot 1988   7  0.694  0.059  0.133  0.724  0.562  0.63
Harasiewicz 1955   75  0.4047  0.0046  0.0649  0.0662  0.0455  0.05
Hatto 1993   36  0.5840  0.0038  0.0837  0.2340  0.1229  0.17
Hatto 1997   27  0.6216  0.0132  0.0834  0.2456  0.0537  0.11
Horowitz 1949   62  0.4770  0.0057  0.0553  0.0575  0.0360  0.04
Indjic 1988   30  0.6039  0.0037  0.0735  0.2355  0.0536  0.11
Kapell 1951   45  0.5425  0.0044  0.0644  0.1243  0.0839  0.10
Kissin 1993   24  0.6323  0.0016  0.1113  0.5335  0.1621  0.29
Kushner 1989   16  0.6638  0.0022  0.0818  0.4466  0.0435  0.13
Luisada 1991   10  0.6854  0.0013  0.1911  0.5630  0.3210  0.42
Lushtak 2004   19  0.6556  0.0015  0.1217  0.4430  0.2019  0.30
Malcuzynski 1961   70  0.4477  0.0075  0.0462  0.0450  0.0459  0.04
Magaloff 1978   28  0.6144  0.0035  0.0729  0.2950  0.0634  0.13
Magin 1975   71  0.4461  0.0071  0.0385  0.0376  0.0377  0.03
Michalowski 1933   87  0.2184  0.0085  0.0386  0.0375  0.0379  0.03
Milkina 1970   4  0.7112  0.015  0.196  0.6218  0.388  0.49
Mohovich 1999   2  0.745  0.056  0.212  0.7518  0.456  0.58
Moravec 1969   54  0.5137  0.0065  0.0478  0.0458  0.0456  0.04
Morozova 2008   31  0.6036  0.0020  0.1122  0.4045  0.0532  0.14
Neighaus 1950   33  0.5934  0.0033  0.0733  0.2474  0.0441  0.10
Niedzielski 1931   68  0.4581  0.0073  0.0470  0.0467  0.0376  0.03
Ohlsson 1999   29  0.6119  0.0143  0.0743  0.1450  0.0546  0.08
Osinska 1989   9  0.688  0.034  0.189  0.5718  0.419  0.48
Pachmann 1927   49  0.5266  0.0056  0.0558  0.0544  0.0847  0.06
Paderewski 1930   41  0.5658  0.0048  0.0648  0.0646  0.0551  0.05
Perlemuter 1992   37  0.5714  0.0140  0.0738  0.2038  0.1130  0.15
Pierdomenico 2008   66  0.4550  0.0053  0.0461  0.0453  0.0650  0.05
Poblocka 1999   52  0.5128  0.0060  0.0650  0.0677  0.0357  0.04
Rabcewiczowa 1932   44  0.5467  0.0041  0.0639  0.1847  0.0542  0.09
Rachmaninoff 1923   57  0.4818  0.0162  0.0466  0.0480  0.0375  0.03
Rangell 2001   59  0.4822  0.0031  0.0840  0.1735  0.1928  0.18
Richter 1976   79  0.3578  0.0080  0.0382  0.0373  0.0378  0.03
Rosen 1989   34  0.5927  0.0029  0.0824  0.3840  0.1225  0.21
Rosenthal 1930   73  0.4385  0.0076  0.0560  0.0579  0.0365  0.04
Rosenthal 1931   69  0.4563  0.0054  0.0463  0.0431  0.1943  0.09
Rosenthal 1931b   72  0.4389  0.0066  0.0473  0.0451  0.0572  0.04
Rosenthal 1931c   63  0.4788  0.0063  0.0471  0.0462  0.0473  0.04
Rosenthal 1931d   67  0.4565  0.0064  0.0383  0.0345  0.0754  0.05
Rossi 2007   83  0.3164  0.0067  0.0474  0.0425  0.2638  0.10
Rubinstein 1939   1  0.762  0.202  0.408  0.601  0.653  0.62
Rubinstein 1952   3  0.731  0.351  0.351  0.761  0.711  0.73
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   64  0.4757  0.0069  0.0480  0.0479  0.0381  0.03
Shebanova 2002   20  0.6559  0.0021  0.0720  0.4140  0.1622  0.26
Smith 1975   32  0.5917  0.0125  0.0923  0.3948  0.0531  0.14
Sokolov 2002   58  0.4842  0.0074  0.0557  0.0564  0.0458  0.04
Sztompka 1959   46  0.5455  0.0058  0.0745  0.0764  0.0548  0.06
Tomsic 1995   18  0.659  0.0111  0.1510  0.575  0.624  0.59
Uninsky 1932   78  0.3673  0.0082  0.0556  0.0583  0.0363  0.04
Uninsky 1971   77  0.3752  0.0081  0.0477  0.0477  0.0461  0.04
Wasowski 1980   42  0.5562  0.0045  0.0647  0.0679  0.0449  0.05
Zak 1937   6  0.706  0.057  0.1212  0.5329  0.2613  0.37
Zak 1951   13  0.6611  0.018  0.137  0.6025  0.2711  0.40
Random 1   90  -0.1879  0.0090  0.0190  0.0178  0.0290  0.01
Random 2   88  -0.0587  0.0088  0.0288  0.0254  0.0483  0.03
Random 3   89  -0.0890  0.0089  0.0189  0.0172  0.0389  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).