Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2317  0.0143  0.0642  0.1149  0.0746  0.09
Anderszewski 2003   73  0.1759  0.0067  0.0473  0.0453  0.0662  0.05
Ashkenazy 1981   27  0.3533  0.0032  0.1130  0.3548  0.0837  0.17
Bacha 2000   65  0.2071  0.0060  0.0468  0.0452  0.0655  0.05
Badura 1965   82  0.1187  0.0085  0.0283  0.0283  0.0388  0.02
Barbosa 1983   55  0.2426  0.0054  0.0467  0.0449  0.0660  0.05
Biret 1990   46  0.2820  0.0036  0.0637  0.1723  0.5329  0.30
Blet 2003   39  0.3060  0.0045  0.0646  0.0653  0.0750  0.06
Block 1995   12  0.4122  0.0017  0.1111  0.6028  0.4314  0.51
Blumental 1952   64  0.2144  0.0070  0.0552  0.0545  0.0753  0.06
Boshniakovich 1969   33  0.3315  0.0231  0.0934  0.2651  0.0643  0.12
Brailowsky 1960   84  0.1068  0.0084  0.0284  0.0276  0.0481  0.03
Bunin 1987   76  0.1777  0.0074  0.0647  0.0659  0.0567  0.05
Bunin 1987b   77  0.1645  0.0075  0.0556  0.0567  0.0474  0.04
Chiu 1999   57  0.2478  0.0066  0.0474  0.0466  0.0569  0.04
Cohen 1997   24  0.362  0.119  0.1220  0.4717  0.5415  0.50
Cortot 1951   59  0.2353  0.0047  0.0649  0.0630  0.3739  0.15
Csalog 1996   54  0.2543  0.0064  0.0554  0.0555  0.0661  0.05
Czerny 1949   62  0.2237  0.0041  0.0541  0.1226  0.6131  0.27
Czerny 1990   45  0.2982  0.0044  0.0544  0.1043  0.1742  0.13
Duchoud 2007   50  0.2635  0.0050  0.0558  0.0559  0.0565  0.05
Ezaki 2006   66  0.2029  0.0062  0.0469  0.0450  0.0754  0.05
Falvay 1989   47  0.2854  0.0034  0.1032  0.3117  0.4125  0.36
Farrell 1958   81  0.1152  0.0068  0.0475  0.0461  0.0571  0.04
Ferenczy 1958   88  0.0079  0.0087  0.0381  0.0354  0.0678  0.04
Fliere 1977   26  0.3528  0.0033  0.1133  0.2849  0.0838  0.15
Fou 1978   61  0.2241  0.0055  0.0562  0.0569  0.0372  0.04
Francois 1956   11  0.4114  0.0210  0.127  0.635  0.753  0.69
Friedman 1923   71  0.1874  0.0081  0.0287  0.0286  0.0389  0.02
Friedman 1923b   72  0.1875  0.0082  0.0380  0.0376  0.0384  0.03
Friedman 1930   38  0.3147  0.0052  0.0470  0.0454  0.0664  0.05
Garcia 2007   75  0.1765  0.0076  0.0555  0.0571  0.0480  0.04
Garcia 2007b   80  0.1448  0.0083  0.0285  0.0271  0.0487  0.03
Gierzod 1998   70  0.1846  0.0049  0.0553  0.0549  0.0752  0.06
Gornostaeva 1994   16  0.3825  0.0016  0.1113  0.5614  0.658  0.60
Groot 1988   2  0.484  0.086  0.153  0.6819  0.4512  0.55
Harasiewicz 1955   5  0.446  0.044  0.235  0.668  0.567  0.61
Hatto 1993   13  0.3972  0.0021  0.1214  0.5537  0.2524  0.37
Hatto 1997   10  0.428  0.035  0.134  0.685  0.606  0.64
Horowitz 1949   48  0.2730  0.0059  0.0464  0.0453  0.0659  0.05
Indjic 1988   15  0.3976  0.0024  0.1118  0.5134  0.2923  0.38
Kapell 1951   18  0.3716  0.0113  0.1015  0.5320  0.4317  0.48
Kissin 1993   37  0.3161  0.0039  0.0638  0.1744  0.1736  0.17
Kushner 1989   36  0.3155  0.0053  0.0559  0.0566  0.0473  0.04
Luisada 1991   22  0.3723  0.0026  0.0922  0.4337  0.2727  0.34
Lushtak 2004   58  0.2356  0.0058  0.0561  0.0548  0.0666  0.05
Malcuzynski 1961   34  0.3227  0.0030  0.0929  0.3830  0.2230  0.29
Magaloff 1978   7  0.4321  0.007  0.1410  0.6114  0.589  0.59
Magin 1975   1  0.511  0.261  0.262  0.6912  0.722  0.70
Michalowski 1933   44  0.2962  0.0063  0.0560  0.0546  0.0849  0.06
Milkina 1970   42  0.3049  0.0027  0.1025  0.4117  0.5119  0.46
Mohovich 1999   30  0.3319  0.0118  0.1228  0.3926  0.3426  0.36
Moravec 1969   41  0.3057  0.0042  0.0639  0.1441  0.1240  0.13
Morozova 2008   52  0.2666  0.0051  0.0650  0.0672  0.0463  0.05
Neighaus 1950   20  0.3724  0.0023  0.1121  0.4749  0.0833  0.19
Niedzielski 1931   25  0.3639  0.0025  0.0924  0.4230  0.2628  0.33
Ohlsson 1999   8  0.4318  0.0111  0.118  0.6218  0.4513  0.53
Osinska 1989   3  0.473  0.103  0.181  0.766  0.761  0.76
Pachmann 1927   49  0.2769  0.0071  0.0465  0.0470  0.0576  0.04
Paderewski 1930   19  0.379  0.0328  0.0931  0.3328  0.4322  0.38
Perlemuter 1992   6  0.4411  0.0314  0.0917  0.5118  0.6110  0.56
Pierdomenico 2008   53  0.2563  0.0065  0.0472  0.0453  0.0657  0.05
Poblocka 1999   40  0.3058  0.0048  0.0645  0.0656  0.0556  0.05
Rabcewiczowa 1932   17  0.3850  0.0015  0.0812  0.5711  0.735  0.65
Rachmaninoff 1923   79  0.1680  0.0079  0.0379  0.0356  0.0570  0.04
Rangell 2001   74  0.1788  0.0069  0.0557  0.0546  0.0668  0.05
Richter 1976   29  0.3432  0.0038  0.0540  0.1349  0.0845  0.10
Rosen 1989   43  0.2934  0.0035  0.0935  0.2543  0.1335  0.18
Rosenthal 1930   51  0.2638  0.0061  0.0476  0.0442  0.1448  0.07
Rosenthal 1931   86  0.0583  0.0080  0.0286  0.0256  0.0582  0.03
Rosenthal 1931b   85  0.0689  0.0086  0.0282  0.0254  0.0586  0.03
Rosenthal 1931c   63  0.2284  0.0056  0.0463  0.0434  0.3044  0.11
Rosenthal 1931d   83  0.1064  0.0078  0.0377  0.0367  0.0385  0.03
Rossi 2007   69  0.1831  0.0040  0.0543  0.1016  0.4432  0.21
Rubinstein 1939   32  0.3313  0.0219  0.1019  0.487  0.4916  0.48
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   9  0.427  0.048  0.126  0.6410  0.4811  0.55
Schilhawsky 1960   78  0.1640  0.0077  0.0378  0.0355  0.0577  0.04
Shebanova 2002   35  0.3251  0.0046  0.0648  0.0669  0.0651  0.06
Smith 1975   14  0.3910  0.0322  0.1026  0.4014  0.5618  0.47
Sokolov 2002   4  0.455  0.072  0.169  0.612  0.754  0.68
Sztompka 1959   23  0.3642  0.0029  0.1123  0.4248  0.0834  0.18
Tomsic 1995   31  0.3312  0.0312  0.1127  0.4014  0.4021  0.40
Uninsky 1932   56  0.2490  0.0057  0.0471  0.0462  0.0579  0.04
Uninsky 1971   21  0.3781  0.0020  0.1116  0.5118  0.4020  0.45
Wasowski 1980   28  0.3436  0.0037  0.0836  0.1945  0.0941  0.13
Zak 1937   68  0.1973  0.0073  0.0651  0.0668  0.0558  0.05
Zak 1951   67  0.2067  0.0072  0.0466  0.0465  0.0475  0.04
Random 1   90  -0.1085  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   89  0.0086  0.0088  0.0289  0.0257  0.0583  0.03
Random 3   87  0.0270  0.0089  0.0288  0.0220  0.3447  0.08

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).