Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.5460  0.0063  0.0474  0.0462  0.0579  0.04
Anderszewski 2003   18  0.6432  0.0025  0.1026  0.3926  0.4221  0.40
Ashkenazy 1981   41  0.5647  0.0052  0.0654  0.0659  0.0570  0.05
Bacha 2000   38  0.5723  0.0040  0.1135  0.275  0.4928  0.36
Badura 1965   65  0.4644  0.0070  0.0473  0.0453  0.0669  0.05
Barbosa 1983   20  0.6431  0.0012  0.1212  0.531  0.717  0.61
Biret 1990   16  0.6524  0.0017  0.1115  0.5119  0.4117  0.46
Blet 2003   60  0.5086  0.0058  0.0846  0.0835  0.1847  0.12
Block 1995   64  0.4654  0.0042  0.0543  0.1226  0.2740  0.18
Blumental 1952   35  0.5975  0.0035  0.0738  0.2369  0.0451  0.10
Boshniakovich 1969   56  0.5137  0.0043  0.0542  0.1464  0.0457  0.07
Brailowsky 1960   50  0.5352  0.0066  0.0749  0.0732  0.2945  0.14
Bunin 1987   85  0.3053  0.0085  0.0387  0.0379  0.0388  0.03
Bunin 1987b   86  0.2864  0.0086  0.0386  0.0364  0.0483  0.03
Chiu 1999   30  0.607  0.0237  0.0837  0.2316  0.3532  0.28
Cohen 1997   48  0.5472  0.0045  0.0659  0.064  0.4942  0.17
Cortot 1951   68  0.4570  0.0069  0.0480  0.0440  0.1656  0.08
Csalog 1996   52  0.5365  0.0021  0.1030  0.356  0.5119  0.42
Czerny 1949   44  0.5540  0.0053  0.0748  0.0769  0.0467  0.05
Czerny 1990   5  0.704  0.049  0.119  0.6117  0.4712  0.54
Duchoud 2007   72  0.4276  0.0073  0.0479  0.0448  0.0668  0.05
Ezaki 2006   14  0.6510  0.0123  0.0825  0.4225  0.3820  0.40
Falvay 1989   24  0.6214  0.0130  0.0832  0.3014  0.4925  0.38
Farrell 1958   15  0.6530  0.008  0.1011  0.575  0.628  0.59
Ferenczy 1958   70  0.4381  0.0076  0.0564  0.0582  0.0377  0.04
Fliere 1977   19  0.6416  0.0122  0.0723  0.4650  0.0641  0.17
Fou 1978   21  0.6422  0.0014  0.1113  0.5318  0.4516  0.49
Francois 1956   54  0.5262  0.0056  0.0656  0.0629  0.4044  0.15
Friedman 1923   42  0.5521  0.0061  0.0945  0.0939  0.1946  0.13
Friedman 1923b   45  0.5520  0.0060  0.0565  0.0540  0.1754  0.09
Friedman 1930   57  0.5166  0.0068  0.0477  0.0460  0.0576  0.04
Garcia 2007   63  0.4867  0.0062  0.0568  0.0543  0.1355  0.08
Garcia 2007b   55  0.5227  0.0049  0.0653  0.0634  0.2548  0.12
Gierzod 1998   17  0.6515  0.0124  0.1018  0.5042  0.1633  0.28
Gornostaeva 1994   59  0.5056  0.0057  0.0747  0.0741  0.1452  0.10
Groot 1988   34  0.5917  0.0018  0.1014  0.523  0.5413  0.53
Harasiewicz 1955   25  0.6146  0.0028  0.0722  0.4637  0.2031  0.30
Hatto 1993   13  0.6634  0.0015  0.0920  0.4824  0.3124  0.39
Hatto 1997   10  0.676  0.0213  0.1319  0.5024  0.3222  0.40
Horowitz 1949   77  0.4057  0.0079  0.0475  0.0466  0.0573  0.04
Indjic 1988   11  0.6645  0.0016  0.1121  0.4624  0.3226  0.38
Kapell 1951   29  0.608  0.0119  0.1116  0.5118  0.3918  0.45
Kissin 1993   22  0.6335  0.0020  0.1117  0.5120  0.5114  0.51
Kushner 1989   3  0.713  0.064  0.244  0.671  0.704  0.68
Luisada 1991   26  0.6182  0.0034  0.0634  0.2842  0.1437  0.20
Lushtak 2004   4  0.7112  0.013  0.195  0.652  0.753  0.70
Malcuzynski 1961   78  0.4033  0.0059  0.0561  0.0544  0.0758  0.06
Magaloff 1978   36  0.5842  0.0039  0.0840  0.1825  0.3036  0.23
Magin 1975   53  0.5213  0.0148  0.0652  0.0657  0.0463  0.05
Michalowski 1933   87  0.2783  0.0087  0.0481  0.0482  0.0385  0.03
Milkina 1970   12  0.669  0.016  0.296  0.6414  0.549  0.59
Mohovich 1999   9  0.6719  0.007  0.167  0.6311  0.646  0.63
Moravec 1969   67  0.4568  0.0075  0.0572  0.0550  0.0559  0.05
Morozova 2008   28  0.6177  0.0026  0.0728  0.3720  0.4223  0.39
Neighaus 1950   47  0.5455  0.0046  0.0657  0.0672  0.0471  0.05
Niedzielski 1931   74  0.4173  0.0072  0.0476  0.0483  0.0382  0.03
Ohlsson 1999   27  0.6141  0.0036  0.0733  0.2935  0.2134  0.25
Osinska 1989   6  0.695  0.035  0.233  0.6813  0.595  0.63
Pachmann 1927   81  0.3861  0.0084  0.0482  0.0458  0.0475  0.04
Paderewski 1930   76  0.4049  0.0074  0.0570  0.0572  0.0374  0.04
Perlemuter 1992   37  0.5778  0.0055  0.0567  0.0531  0.2449  0.11
Pierdomenico 2008   66  0.4618  0.0041  0.0641  0.1524  0.3935  0.24
Poblocka 1999   61  0.5025  0.0051  0.0566  0.0541  0.1653  0.09
Rabcewiczowa 1932   46  0.5458  0.0032  0.0739  0.2235  0.1938  0.20
Rachmaninoff 1923   51  0.5384  0.0054  0.0651  0.0669  0.0462  0.05
Rangell 2001   69  0.4448  0.0044  0.0544  0.1033  0.2843  0.17
Richter 1976   82  0.3759  0.0078  0.0478  0.0479  0.0384  0.03
Rosen 1989   31  0.6069  0.0031  0.0631  0.3431  0.2830  0.31
Rosenthal 1930   84  0.3550  0.0083  0.0484  0.0477  0.0386  0.03
Rosenthal 1931   75  0.4187  0.0077  0.0562  0.0550  0.0665  0.05
Rosenthal 1931b   79  0.4079  0.0080  0.0385  0.0345  0.0972  0.05
Rosenthal 1931c   80  0.3828  0.0081  0.0569  0.0560  0.0481  0.04
Rosenthal 1931d   83  0.3671  0.0082  0.0483  0.0461  0.0480  0.04
Rossi 2007   43  0.5551  0.0050  0.0750  0.0711  0.4539  0.18
Rubinstein 1939   1  0.752  0.082  0.482  0.702  0.762  0.73
Rubinstein 1952   2  0.741  0.571  0.571  0.781  0.801  0.79
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   58  0.5143  0.0064  0.0655  0.0668  0.0466  0.05
Shebanova 2002   23  0.6236  0.0027  0.1024  0.4533  0.2629  0.34
Smith 1975   32  0.6026  0.0033  0.0729  0.3615  0.3927  0.37
Sokolov 2002   62  0.4988  0.0065  0.0658  0.0657  0.0461  0.05
Sztompka 1959   33  0.5980  0.0038  0.0736  0.2559  0.0550  0.11
Tomsic 1995   39  0.5738  0.0029  0.0727  0.383  0.6515  0.50
Uninsky 1932   71  0.4263  0.0071  0.0571  0.0581  0.0378  0.04
Uninsky 1971   73  0.4289  0.0067  0.0563  0.0556  0.0664  0.05
Wasowski 1980   40  0.5729  0.0047  0.0560  0.0556  0.0660  0.05
Zak 1937   7  0.6811  0.0111  0.1710  0.5914  0.5111  0.55
Zak 1951   8  0.6839  0.0010  0.128  0.6214  0.5010  0.56
Random 1   90  -0.1590  0.0090  0.0190  0.0186  0.0190  0.01
Random 2   88  -0.0385  0.0089  0.0189  0.0158  0.0489  0.02
Random 3   89  -0.0774  0.0088  0.0288  0.0248  0.0587  0.03

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).