Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.4149  0.0014  0.1016  0.4510  0.5912  0.52
Anderszewski 2003   2  0.531  0.461  0.462  0.731  0.861  0.79
Ashkenazy 1981   34  0.3653  0.0034  0.0533  0.2053  0.0754  0.12
Bacha 2000   39  0.3538  0.0035  0.0537  0.1516  0.5031  0.27
Badura 1965   41  0.3529  0.0046  0.0477  0.0411  0.5546  0.15
Barbosa 1983   3  0.503  0.064  0.164  0.584  0.684  0.63
Biret 1990   78  0.2276  0.0078  0.0550  0.0543  0.1259  0.08
Blet 2003   71  0.2581  0.0070  0.0745  0.0758  0.0666  0.06
Block 1995   18  0.4162  0.0025  0.0724  0.3131  0.3825  0.34
Blumental 1952   19  0.415  0.0315  0.1013  0.4715  0.5614  0.51
Boshniakovich 1969   54  0.3271  0.0027  0.0830  0.2530  0.3430  0.29
Brailowsky 1960   60  0.317  0.0133  0.0540  0.1125  0.4636  0.22
Bunin 1987   86  0.1384  0.0086  0.0385  0.0368  0.0488  0.03
Bunin 1987b   85  0.1385  0.0085  0.0382  0.0364  0.0578  0.04
Chiu 1999   27  0.3865  0.0066  0.0647  0.0654  0.0763  0.06
Cohen 1997   29  0.3748  0.0024  0.0728  0.2614  0.5624  0.38
Cortot 1951   68  0.2886  0.0072  0.0472  0.0454  0.0583  0.04
Csalog 1996   67  0.2823  0.0163  0.0556  0.0534  0.2656  0.11
Czerny 1949   70  0.2672  0.0069  0.0552  0.0531  0.5344  0.16
Czerny 1990   47  0.3373  0.0054  0.0558  0.0537  0.3351  0.13
Duchoud 2007   26  0.3841  0.0052  0.0471  0.0447  0.0867  0.06
Ezaki 2006   46  0.3342  0.0056  0.0551  0.0531  0.3250  0.13
Falvay 1989   36  0.3532  0.0028  0.0829  0.2521  0.3728  0.30
Farrell 1958   62  0.3019  0.0142  0.0543  0.0935  0.2742  0.16
Ferenczy 1958   44  0.3428  0.0032  0.0731  0.2511  0.7818  0.44
Fliere 1977   49  0.3374  0.0061  0.0469  0.0458  0.0574  0.04
Fou 1978   4  0.4818  0.013  0.313  0.634  0.653  0.64
Francois 1956   45  0.3366  0.0036  0.0634  0.1617  0.6127  0.31
Friedman 1923   76  0.2282  0.0081  0.0383  0.0368  0.0585  0.04
Friedman 1923b   82  0.2077  0.0083  0.0387  0.0367  0.0582  0.04
Friedman 1930   79  0.2159  0.0082  0.0288  0.0263  0.0587  0.03
Garcia 2007   12  0.434  0.065  0.1512  0.4813  0.5713  0.52
Garcia 2007b   84  0.1678  0.0074  0.0379  0.0354  0.0684  0.04
Gierzod 1998   59  0.3146  0.0039  0.0539  0.1319  0.5733  0.27
Gornostaeva 1994   32  0.3751  0.0045  0.0467  0.0424  0.5347  0.15
Groot 1988   31  0.3763  0.0044  0.0444  0.0749  0.0762  0.07
Harasiewicz 1955   6  0.4650  0.008  0.108  0.4913  0.5216  0.50
Hatto 1993   15  0.4220  0.0116  0.0822  0.3636  0.2529  0.30
Hatto 1997   10  0.4316  0.0117  0.1117  0.4312  0.5117  0.47
Horowitz 1949   72  0.2579  0.0073  0.0561  0.0564  0.0570  0.05
Indjic 1988   28  0.3714  0.0118  0.1026  0.2740  0.2034  0.23
Kapell 1951   22  0.4054  0.0026  0.0923  0.3226  0.3326  0.32
Kissin 1993   42  0.3521  0.0123  0.1020  0.3726  0.5119  0.43
Kushner 1989   9  0.4445  0.0011  0.0914  0.4616  0.5515  0.50
Luisada 1991   25  0.3813  0.0130  0.0932  0.2332  0.3232  0.27
Lushtak 2004   7  0.4515  0.016  0.157  0.507  0.5910  0.54
Malcuzynski 1961   61  0.3144  0.0064  0.0746  0.0763  0.0564  0.06
Magaloff 1978   69  0.2761  0.0062  0.0468  0.0452  0.0576  0.04
Magin 1975   77  0.2269  0.0075  0.0378  0.0358  0.0677  0.04
Michalowski 1933   75  0.2356  0.0077  0.0563  0.0561  0.0672  0.05
Milkina 1970   13  0.4211  0.017  0.095  0.534  0.725  0.62
Mohovich 1999   1  0.542  0.152  0.401  0.771  0.812  0.79
Moravec 1969   35  0.3610  0.0137  0.0636  0.1526  0.3335  0.22
Morozova 2008   21  0.406  0.0241  0.0541  0.1066  0.0561  0.07
Neighaus 1950   16  0.419  0.0113  0.109  0.4823  0.3620  0.42
Niedzielski 1931   43  0.3439  0.0038  0.0635  0.1529  0.2738  0.20
Ohlsson 1999   58  0.3112  0.0158  0.0470  0.0460  0.0580  0.04
Osinska 1989   55  0.3247  0.0051  0.0562  0.0531  0.4049  0.14
Pachmann 1927   80  0.2180  0.0084  0.0380  0.0373  0.0579  0.04
Paderewski 1930   57  0.3267  0.0049  0.0565  0.0539  0.2655  0.11
Perlemuter 1992   50  0.3343  0.0057  0.0649  0.0641  0.2652  0.12
Pierdomenico 2008   66  0.2835  0.0071  0.0554  0.0544  0.0960  0.07
Poblocka 1999   56  0.3224  0.0140  0.0538  0.1434  0.2739  0.19
Rabcewiczowa 1932   20  0.4157  0.0019  0.0815  0.4612  0.726  0.58
Rachmaninoff 1923   65  0.2987  0.0067  0.0560  0.0548  0.0569  0.05
Rangell 2001   8  0.4426  0.009  0.086  0.515  0.627  0.56
Richter 1976   33  0.3640  0.0065  0.0553  0.0548  0.0865  0.06
Rosen 1989   11  0.4327  0.0022  0.0921  0.3728  0.4323  0.40
Rosenthal 1930   40  0.3530  0.0055  0.0473  0.0440  0.2557  0.10
Rosenthal 1931   30  0.3717  0.0120  0.0819  0.4011  0.6811  0.52
Rosenthal 1931b   38  0.3552  0.0031  0.0825  0.2713  0.6621  0.42
Rosenthal 1931c   37  0.3564  0.0050  0.0557  0.0515  0.5541  0.17
Rosenthal 1931d   74  0.2455  0.0060  0.0566  0.0521  0.4548  0.15
Rossi 2007   87  0.0575  0.0087  0.0384  0.0348  0.0575  0.04
Rubinstein 1939   5  0.468  0.0110  0.0811  0.484  0.638  0.55
Rubinstein 1952   14  0.4233  0.0012  0.1010  0.486  0.649  0.55
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   83  0.1870  0.0080  0.0381  0.0351  0.0581  0.04
Shebanova 2002   24  0.3922  0.0129  0.0827  0.2644  0.1837  0.22
Smith 1975   52  0.3331  0.0053  0.0559  0.0522  0.4645  0.15
Sokolov 2002   81  0.2088  0.0079  0.0475  0.0464  0.0386  0.03
Sztompka 1959   53  0.3368  0.0059  0.0564  0.0567  0.0571  0.05
Tomsic 1995   64  0.2983  0.0043  0.0442  0.0919  0.3240  0.17
Uninsky 1932   63  0.3034  0.0068  0.0555  0.0557  0.0673  0.05
Uninsky 1971   23  0.4025  0.0021  0.0918  0.4117  0.4022  0.40
Wasowski 1980   73  0.2460  0.0076  0.0474  0.0454  0.0668  0.05
Zak 1937   51  0.3358  0.0047  0.0476  0.0431  0.3453  0.12
Zak 1951   48  0.3336  0.0048  0.0648  0.0623  0.4243  0.16
Random 1   89  -0.0589  0.0089  0.0289  0.0279  0.0289  0.02
Random 2   88  0.0337  0.0088  0.0386  0.0332  0.2158  0.08
Random 3   90  -0.1290  0.0090  0.0190  0.0184  0.0290  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).