Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.3954  0.0031  0.0927  0.4113  0.5219  0.46
Anderszewski 2003   21  0.4226  0.0019  0.1016  0.5716  0.5812  0.57
Ashkenazy 1981   28  0.4183  0.0034  0.0735  0.2333  0.3137  0.27
Bacha 2000   10  0.477  0.029  0.1815  0.582  0.786  0.67
Badura 1965   58  0.3333  0.0050  0.0562  0.0549  0.0565  0.05
Barbosa 1983   8  0.4717  0.0114  0.1212  0.6118  0.4814  0.54
Biret 1990   61  0.3279  0.0068  0.0571  0.0556  0.0571  0.05
Blet 2003   68  0.3057  0.0065  0.0570  0.0571  0.0480  0.04
Block 1995   32  0.3929  0.0018  0.1022  0.4917  0.5116  0.50
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   47  0.3551  0.0062  0.0656  0.0661  0.0568  0.05
Brailowsky 1960   4  0.492  0.094  0.238  0.685  0.744  0.71
Bunin 1987   63  0.3142  0.0056  0.0654  0.0643  0.1349  0.09
Bunin 1987b   64  0.3164  0.0057  0.0658  0.0644  0.1648  0.10
Chiu 1999   33  0.3861  0.0035  0.0837  0.2038  0.1641  0.18
Cohen 1997   69  0.2858  0.0070  0.0478  0.0445  0.1356  0.07
Cortot 1951   78  0.2591  0.0075  0.0475  0.0447  0.0772  0.05
Csalog 1996   79  0.2376  0.0081  0.0386  0.0383  0.0385  0.03
Czerny 1949   74  0.2677  0.0074  0.0561  0.0551  0.0664  0.05
Czerny 1990   11  0.4612  0.015  0.135  0.7515  0.703  0.72
Duchoud 2007   87  0.1374  0.0088  0.0385  0.0384  0.0386  0.03
Ezaki 2006   17  0.446  0.0221  0.0826  0.4424  0.5118  0.47
Falvay 1989   14  0.4511  0.0122  0.1018  0.5226  0.3421  0.42
Farrell 1958   80  0.2337  0.0079  0.0384  0.0374  0.0384  0.03
Ferenczy 1958   35  0.3718  0.0126  0.0925  0.458  0.7410  0.58
Fliere 1977   13  0.4522  0.0013  0.1214  0.5838  0.2524  0.38
Fou 1978   7  0.4723  0.008  0.157  0.7110  0.647  0.67
Francois 1956   85  0.1863  0.0085  0.0569  0.0578  0.0382  0.04
Friedman 1923   70  0.2839  0.0073  0.0651  0.0664  0.0573  0.05
Friedman 1923b   71  0.2867  0.0072  0.0574  0.0561  0.0569  0.05
Friedman 1930   65  0.3136  0.0044  0.0744  0.1336  0.2243  0.17
Garcia 2007   72  0.2735  0.0067  0.0563  0.0572  0.0481  0.04
Garcia 2007b   51  0.3480  0.0053  0.0749  0.0727  0.2845  0.14
Gierzod 1998   16  0.4420  0.0011  0.1313  0.5815  0.5213  0.55
Gornostaeva 1994   67  0.3056  0.0069  0.0566  0.0560  0.0570  0.05
Groot 1988   19  0.4338  0.0020  0.0817  0.5430  0.3420  0.43
Harasiewicz 1955   18  0.4362  0.0017  0.1423  0.4842  0.1538  0.27
Hatto 1993   2  0.523  0.032  0.272  0.797  0.711  0.75
Hatto 1997   5  0.4840  0.007  0.166  0.739  0.598  0.66
Horowitz 1949   55  0.3415  0.0141  0.0638  0.2019  0.5233  0.32
Indjic 1988   3  0.5110  0.013  0.203  0.779  0.682  0.72
Kapell 1951   24  0.4219  0.0024  0.1021  0.4935  0.2132  0.32
Kissin 1993   36  0.3771  0.0052  0.0657  0.0647  0.1051  0.08
Kushner 1989   9  0.4752  0.0015  0.1610  0.6526  0.3617  0.48
Luisada 1991   23  0.4249  0.0032  0.0828  0.3624  0.3127  0.33
Lushtak 2004   44  0.3575  0.0060  0.0567  0.0553  0.0566  0.05
Malcuzynski 1961   15  0.4413  0.0112  0.1311  0.6418  0.5011  0.57
Magaloff 1978   39  0.3659  0.0048  0.0652  0.0648  0.0562  0.05
Magin 1975   26  0.4184  0.0027  0.0931  0.3233  0.3529  0.33
Michalowski 1933   81  0.2260  0.0082  0.0383  0.0353  0.0679  0.04
Milkina 1970   29  0.4034  0.0030  0.0832  0.3134  0.3630  0.33
Mohovich 1999   30  0.4016  0.0129  0.0729  0.3536  0.3131  0.33
Moravec 1969   12  0.4614  0.0110  0.189  0.676  0.639  0.65
Morozova 2008   48  0.354  0.0236  0.0642  0.1472  0.0453  0.07
Neighaus 1950   82  0.2087  0.0084  0.0479  0.0488  0.0288  0.03
Niedzielski 1931   60  0.328  0.0140  0.0736  0.2218  0.4435  0.31
Ohlsson 1999   75  0.2685  0.0076  0.0477  0.0459  0.0478  0.04
Osinska 1989   76  0.2688  0.0078  0.0382  0.0374  0.0483  0.03
Pachmann 1927   83  0.1968  0.0086  0.0572  0.0577  0.0477  0.04
Paderewski 1930   84  0.1972  0.0077  0.0381  0.0349  0.0676  0.04
Perlemuter 1992   73  0.2750  0.0071  0.0476  0.0470  0.0474  0.04
Pierdomenico 2008   86  0.1790  0.0080  0.0287  0.0282  0.0390  0.02
Poblocka 1999   27  0.4147  0.0028  0.0830  0.3334  0.2934  0.31
Rabcewiczowa 1932   66  0.3044  0.0059  0.0568  0.0546  0.0757  0.06
Rachmaninoff 1923   46  0.3525  0.0033  0.0833  0.2823  0.3928  0.33
Rangell 2001   77  0.2678  0.0083  0.0480  0.0487  0.0287  0.03
Richter 1976   52  0.3486  0.0064  0.0747  0.0751  0.0659  0.06
Rosen 1989   57  0.3369  0.0043  0.0641  0.1578  0.0355  0.07
Rosenthal 1930   41  0.3521  0.0045  0.0645  0.1217  0.6036  0.27
Rosenthal 1931   45  0.3541  0.0037  0.0734  0.2618  0.6023  0.39
Rosenthal 1931b   59  0.3327  0.0046  0.0659  0.0617  0.5840  0.19
Rosenthal 1931c   49  0.3455  0.0047  0.0655  0.0621  0.4844  0.17
Rosenthal 1931d   62  0.3165  0.0039  0.0639  0.2012  0.5726  0.34
Rossi 2007   88  0.0689  0.0087  0.0288  0.0280  0.0289  0.02
Rubinstein 1939   37  0.3730  0.0038  0.0743  0.1432  0.2142  0.17
Rubinstein 1952   40  0.3645  0.0054  0.0846  0.0857  0.0560  0.06
Rubinstein 1966   20  0.4246  0.0023  0.0820  0.5032  0.2325  0.34
Schilhawsky 1960   25  0.4224  0.0025  0.0924  0.475  0.6115  0.54
Shebanova 2002   22  0.425  0.0216  0.1119  0.5032  0.3422  0.41
Smith 1975   43  0.3543  0.0058  0.0660  0.0635  0.2546  0.12
Sokolov 2002   53  0.3432  0.0063  0.0650  0.0644  0.1050  0.08
Sztompka 1959   50  0.3431  0.0042  0.0740  0.1746  0.0747  0.11
Tomsic 1995   56  0.3370  0.0066  0.0573  0.0567  0.0475  0.04
Uninsky 1932   42  0.3548  0.0051  0.0565  0.0543  0.1452  0.08
Uninsky 1971   6  0.479  0.016  0.144  0.756  0.665  0.70
Wasowski 1980   54  0.3466  0.0049  0.0653  0.0663  0.0561  0.05
Zak 1937   38  0.3773  0.0061  0.0564  0.0554  0.0563  0.05
Zak 1951   34  0.3828  0.0055  0.0748  0.0747  0.0658  0.06
Average   1  0.591  0.641  0.631  0.8848  0.0739  0.25
Random 1   90  -0.0781  0.0090  0.0289  0.0238  0.1567  0.05
Random 2   89  0.0282  0.0089  0.0290  0.0235  0.2254  0.07
Random 3   91  -0.0953  0.0091  0.0191  0.0161  0.0391  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).