Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2315  0.0144  0.0643  0.1150  0.0647  0.08
Anderszewski 2003   74  0.1755  0.0068  0.0474  0.0454  0.0662  0.05
Ashkenazy 1981   28  0.3531  0.0033  0.1131  0.3549  0.0838  0.17
Bacha 2000   66  0.2069  0.0061  0.0469  0.0453  0.0656  0.05
Badura 1965   83  0.1188  0.0086  0.0284  0.0284  0.0389  0.02
Barbosa 1983   56  0.2454  0.0055  0.0468  0.0450  0.0660  0.05
Biret 1990   47  0.2819  0.0037  0.0638  0.1724  0.5329  0.30
Blet 2003   40  0.3058  0.0046  0.0647  0.0654  0.0750  0.06
Block 1995   13  0.4122  0.0018  0.1112  0.6029  0.4314  0.51
Blumental 1952   65  0.2150  0.0071  0.0553  0.0546  0.0754  0.06
Boshniakovich 1969   34  0.3311  0.0232  0.0935  0.2652  0.0644  0.12
Brailowsky 1960   85  0.1070  0.0085  0.0285  0.0277  0.0387  0.02
Bunin 1987   77  0.1781  0.0075  0.0648  0.0660  0.0567  0.05
Bunin 1987b   78  0.1651  0.0076  0.0557  0.0568  0.0475  0.04
Chiu 1999   58  0.2477  0.0067  0.0475  0.0467  0.0569  0.04
Cohen 1997   25  0.3613  0.0110  0.1221  0.4718  0.5415  0.50
Cortot 1951   60  0.2359  0.0048  0.0650  0.0631  0.3740  0.15
Csalog 1996   55  0.2541  0.0065  0.0555  0.0556  0.0661  0.05
Czerny 1949   63  0.2236  0.0042  0.0542  0.1227  0.6131  0.27
Czerny 1990   46  0.2982  0.0045  0.0545  0.1044  0.1742  0.13
Duchoud 2007   51  0.2634  0.0051  0.0559  0.0560  0.0565  0.05
Ezaki 2006   67  0.2033  0.0063  0.0470  0.0451  0.0755  0.05
Falvay 1989   48  0.2872  0.0035  0.1033  0.3118  0.4125  0.36
Farrell 1958   82  0.1178  0.0069  0.0476  0.0462  0.0572  0.04
Ferenczy 1958   89  0.0079  0.0088  0.0382  0.0355  0.0679  0.04
Fliere 1977   27  0.3527  0.0034  0.1134  0.2850  0.0839  0.15
Fou 1978   62  0.2239  0.0056  0.0563  0.0570  0.0373  0.04
Francois 1956   12  0.4114  0.0111  0.128  0.635  0.753  0.69
Friedman 1923   72  0.1873  0.0082  0.0288  0.0287  0.0390  0.02
Friedman 1923b   73  0.1874  0.0083  0.0381  0.0377  0.0383  0.03
Friedman 1930   39  0.3145  0.0053  0.0471  0.0455  0.0664  0.05
Garcia 2007   76  0.1764  0.0077  0.0556  0.0572  0.0481  0.04
Garcia 2007b   81  0.1446  0.0084  0.0286  0.0272  0.0486  0.03
Gierzod 1998   71  0.1843  0.0050  0.0554  0.0550  0.0752  0.06
Gornostaeva 1994   17  0.3823  0.0017  0.1114  0.5615  0.658  0.60
Groot 1988   3  0.484  0.047  0.154  0.6820  0.4512  0.55
Harasiewicz 1955   6  0.448  0.025  0.236  0.669  0.567  0.61
Hatto 1993   14  0.3971  0.0022  0.1115  0.5538  0.2524  0.37
Hatto 1997   11  0.4225  0.006  0.135  0.686  0.606  0.64
Horowitz 1949   49  0.2728  0.0060  0.0465  0.0454  0.0659  0.05
Indjic 1988   16  0.3975  0.0025  0.1119  0.5135  0.2923  0.38
Kapell 1951   19  0.3718  0.0114  0.1016  0.5321  0.4317  0.48
Kissin 1993   38  0.3160  0.0040  0.0639  0.1745  0.1737  0.17
Kushner 1989   37  0.3152  0.0054  0.0560  0.0567  0.0474  0.04
Luisada 1991   23  0.3721  0.0027  0.0923  0.4338  0.2727  0.34
Lushtak 2004   59  0.2353  0.0059  0.0562  0.0549  0.0666  0.05
Malcuzynski 1961   35  0.3224  0.0031  0.0930  0.3831  0.2230  0.29
Magaloff 1978   8  0.4320  0.008  0.1411  0.6115  0.589  0.59
Magin 1975   2  0.512  0.162  0.253  0.6913  0.722  0.70
Michalowski 1933   45  0.2961  0.0064  0.0561  0.0547  0.0849  0.06
Milkina 1970   43  0.3047  0.0028  0.1026  0.4118  0.5119  0.46
Mohovich 1999   31  0.3317  0.0119  0.1229  0.3927  0.3426  0.36
Moravec 1969   42  0.3056  0.0043  0.0640  0.1442  0.1241  0.13
Morozova 2008   53  0.2665  0.0052  0.0651  0.0673  0.0463  0.05
Neighaus 1950   21  0.3726  0.0024  0.1122  0.4750  0.0834  0.19
Niedzielski 1931   26  0.3638  0.0026  0.0925  0.4231  0.2628  0.33
Ohlsson 1999   9  0.4342  0.0012  0.119  0.6219  0.4513  0.53
Osinska 1989   4  0.4710  0.024  0.182  0.767  0.761  0.76
Pachmann 1927   50  0.2766  0.0072  0.0466  0.0471  0.0577  0.04
Paderewski 1930   20  0.375  0.0329  0.0932  0.3329  0.4322  0.38
Perlemuter 1992   7  0.447  0.0315  0.0918  0.5119  0.6110  0.56
Pierdomenico 2008   54  0.2562  0.0066  0.0473  0.0454  0.0571  0.04
Poblocka 1999   41  0.3057  0.0049  0.0646  0.0657  0.0557  0.05
Rabcewiczowa 1932   18  0.3849  0.0016  0.0813  0.5712  0.735  0.65
Rachmaninoff 1923   80  0.1680  0.0080  0.0380  0.0357  0.0570  0.04
Rangell 2001   75  0.1789  0.0070  0.0558  0.0547  0.0668  0.05
Richter 1976   30  0.3430  0.0039  0.0541  0.1350  0.0846  0.10
Rosen 1989   44  0.2932  0.0036  0.0936  0.2544  0.1336  0.18
Rosenthal 1930   52  0.2637  0.0062  0.0377  0.0343  0.1453  0.06
Rosenthal 1931   87  0.0583  0.0081  0.0287  0.0257  0.0582  0.03
Rosenthal 1931b   86  0.0690  0.0087  0.0283  0.0255  0.0585  0.03
Rosenthal 1931c   64  0.2284  0.0057  0.0464  0.0435  0.3045  0.11
Rosenthal 1931d   84  0.1063  0.0079  0.0378  0.0368  0.0384  0.03
Rossi 2007   70  0.1829  0.0041  0.0544  0.1016  0.4432  0.21
Rubinstein 1939   33  0.339  0.0220  0.1020  0.488  0.4916  0.48
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   10  0.4212  0.019  0.127  0.6411  0.4811  0.55
Schilhawsky 1960   79  0.1640  0.0078  0.0379  0.0356  0.0578  0.04
Shebanova 2002   36  0.3248  0.0047  0.0649  0.0670  0.0651  0.06
Smith 1975   15  0.396  0.0323  0.1027  0.4015  0.5618  0.47
Sokolov 2002   5  0.453  0.043  0.1610  0.613  0.754  0.68
Sztompka 1959   24  0.3644  0.0030  0.1024  0.4249  0.0835  0.18
Tomsic 1995   32  0.3316  0.0113  0.1128  0.4015  0.4021  0.40
Uninsky 1932   57  0.2491  0.0058  0.0472  0.0463  0.0580  0.04
Uninsky 1971   22  0.3785  0.0021  0.1117  0.5119  0.4020  0.45
Wasowski 1980   29  0.3435  0.0038  0.0837  0.1946  0.0843  0.12
Zak 1937   69  0.1976  0.0074  0.0652  0.0669  0.0558  0.05
Zak 1951   68  0.2067  0.0073  0.0467  0.0466  0.0476  0.04
Average   1  0.521  0.461  0.461  0.8162  0.0533  0.20
Random 1   91  -0.1086  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   90  0.0087  0.0089  0.0190  0.0157  0.0588  0.02
Random 3   88  0.0268  0.0090  0.0289  0.0221  0.3448  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).