Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.4018  0.015  0.155  0.5814  0.465  0.52
Anderszewski 2003   40  0.3142  0.0047  0.0650  0.0679  0.0355  0.04
Ashkenazy 1981   5  0.434  0.053  0.311  0.683  0.591  0.63
Bacha 2000   49  0.2965  0.0051  0.0649  0.0658  0.0447  0.05
Badura 1965   75  0.2124  0.0062  0.0468  0.0468  0.0376  0.03
Barbosa 1983   24  0.3375  0.0035  0.0536  0.1876  0.0343  0.07
Biret 1990   17  0.3543  0.0016  0.1613  0.4879  0.0325  0.12
Blet 2003   10  0.386  0.0411  0.1415  0.4529  0.229  0.31
Block 1995   61  0.2566  0.0041  0.0440  0.1477  0.0444  0.07
Blumental 1952   12  0.3734  0.007  0.139  0.5462  0.0517  0.16
Boshniakovich 1969   38  0.3123  0.0028  0.0927  0.3187  0.0333  0.10
Brailowsky 1960   1  0.491  0.341  0.332  0.6616  0.552  0.60
Bunin 1987   4  0.4311  0.0214  0.1112  0.4935  0.1611  0.28
Bunin 1987b   9  0.387  0.0424  0.0832  0.2566  0.0432  0.10
Chiu 1999   63  0.2551  0.0053  0.0564  0.0575  0.0351  0.04
Cohen 1997   64  0.2536  0.0039  0.0444  0.1166  0.0445  0.07
Cortot 1951   85  0.1367  0.0085  0.0378  0.0387  0.0289  0.02
Csalog 1996   55  0.2721  0.0161  0.0467  0.0482  0.0374  0.03
Czerny 1949   77  0.2025  0.0082  0.0385  0.0387  0.0284  0.02
Czerny 1990   60  0.2684  0.0066  0.0559  0.0580  0.0360  0.04
Duchoud 2007   88  0.1045  0.0080  0.0383  0.0382  0.0285  0.02
Ezaki 2006   70  0.2376  0.0078  0.0469  0.0479  0.0363  0.03
Falvay 1989   20  0.3477  0.0043  0.0539  0.1556  0.0534  0.09
Farrell 1958   89  0.0673  0.0088  0.0289  0.0291  0.0190  0.01
Ferenczy 1958   21  0.3430  0.0013  0.1116  0.4339  0.1910  0.29
Fliere 1977   36  0.3185  0.0050  0.0846  0.0888  0.0348  0.05
Fou 1978   44  0.3069  0.0029  0.0930  0.2773  0.0431  0.10
Francois 1956   76  0.2178  0.0067  0.0375  0.0385  0.0378  0.03
Friedman 1923   48  0.2952  0.0034  0.0628  0.3176  0.0430  0.11
Friedman 1923b   53  0.2737  0.0031  0.0531  0.2656  0.0528  0.11
Friedman 1930   34  0.3171  0.0012  0.1311  0.5038  0.208  0.32
Garcia 2007   82  0.1790  0.0081  0.0379  0.0385  0.0286  0.02
Garcia 2007b   68  0.2453  0.0075  0.0558  0.0588  0.0279  0.03
Gierzod 1998   16  0.3629  0.0027  0.0821  0.3987  0.0235  0.09
Gornostaeva 1994   33  0.3254  0.0046  0.0748  0.0786  0.0259  0.04
Groot 1988   6  0.4114  0.018  0.146  0.5661  0.0514  0.17
Harasiewicz 1955   39  0.3149  0.0049  0.0651  0.0687  0.0362  0.04
Hatto 1993   41  0.3191  0.0020  0.0918  0.4281  0.0329  0.11
Hatto 1997   35  0.3170  0.0021  0.0820  0.3979  0.0327  0.11
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   43  0.3079  0.0026  0.0724  0.3675  0.0424  0.12
Kapell 1951   81  0.1820  0.0183  0.0384  0.0387  0.0282  0.02
Kissin 1993   72  0.2386  0.0065  0.0652  0.0684  0.0354  0.04
Kushner 1989   52  0.2728  0.0059  0.0557  0.0588  0.0267  0.03
Luisada 1991   3  0.442  0.112  0.343  0.6314  0.513  0.57
Lushtak 2004   56  0.2748  0.0055  0.0466  0.0477  0.0458  0.04
Malcuzynski 1961   58  0.2627  0.0072  0.0470  0.0481  0.0269  0.03
Magaloff 1978   18  0.3580  0.0022  0.0823  0.3684  0.0236  0.08
Magin 1975   19  0.3535  0.0033  0.0634  0.1978  0.0337  0.08
Michalowski 1933   84  0.1439  0.0079  0.0473  0.0479  0.0273  0.03
Milkina 1970   13  0.365  0.0517  0.1425  0.3667  0.0523  0.13
Mohovich 1999   11  0.3722  0.0115  0.1314  0.4778  0.0421  0.14
Moravec 1969   15  0.3655  0.0030  0.0826  0.3169  0.0426  0.11
Morozova 2008   66  0.249  0.0338  0.0445  0.0886  0.0350  0.05
Neighaus 1950   69  0.2432  0.0060  0.0563  0.0573  0.0361  0.04
Niedzielski 1931   50  0.293  0.106  0.1610  0.5211  0.436  0.47
Ohlsson 1999   74  0.2272  0.0064  0.0471  0.0488  0.0272  0.03
Osinska 1989   71  0.2381  0.0069  0.0381  0.0378  0.0364  0.03
Pachmann 1927   86  0.1041  0.0087  0.0287  0.0286  0.0283  0.02
Paderewski 1930   79  0.1944  0.0074  0.0474  0.0470  0.0453  0.04
Perlemuter 1992   23  0.3340  0.0044  0.0641  0.1468  0.0441  0.07
Pierdomenico 2008   78  0.1968  0.0086  0.0382  0.0384  0.0281  0.02
Poblocka 1999   31  0.3250  0.0048  0.0747  0.0766  0.0546  0.06
Rabcewiczowa 1932   57  0.2656  0.0063  0.0561  0.0572  0.0352  0.04
Rachmaninoff 1923   14  0.3617  0.0110  0.178  0.5531  0.287  0.39
Rangell 2001   80  0.1847  0.0084  0.0286  0.0285  0.0288  0.02
Richter 1976   62  0.2558  0.0073  0.0376  0.0384  0.0371  0.03
Rosen 1989   47  0.2960  0.0019  0.1119  0.3952  0.0520  0.14
Rosenthal 1930   8  0.3910  0.029  0.147  0.5515  0.554  0.55
Rosenthal 1931   26  0.3246  0.0032  0.0533  0.2445  0.1018  0.15
Rosenthal 1931b   32  0.3282  0.0025  0.0729  0.2940  0.1912  0.23
Rosenthal 1931c   22  0.3331  0.0023  0.0817  0.4248  0.0813  0.18
Rosenthal 1931d   25  0.3259  0.0042  0.0538  0.1744  0.1222  0.14
Rossi 2007   87  0.1074  0.0089  0.0288  0.0289  0.0280  0.02
Rubinstein 1939   59  0.2612  0.0277  0.0562  0.0586  0.0266  0.03
Rubinstein 1952   51  0.2815  0.0176  0.0553  0.0584  0.0277  0.03
Rubinstein 1966   45  0.3013  0.0158  0.0554  0.0586  0.0356  0.04
Schilhawsky 1960   54  0.2738  0.0052  0.0465  0.0479  0.0375  0.03
Shebanova 2002   42  0.3033  0.0018  0.0822  0.3648  0.0716  0.16
Smith 1975   30  0.3283  0.0036  0.0635  0.1881  0.0342  0.07
Sokolov 2002   67  0.2461  0.0057  0.0556  0.0582  0.0265  0.03
Sztompka 1959   27  0.3216  0.0145  0.0742  0.1462  0.0538  0.08
Tomsic 1995   37  0.3119  0.0156  0.0555  0.0568  0.0549  0.05
Uninsky 1932   46  0.3026  0.0054  0.0560  0.0564  0.0457  0.04
Uninsky 1971   29  0.3257  0.0040  0.0537  0.1876  0.0439  0.08
Wasowski 1980   28  0.3262  0.0037  0.0543  0.1478  0.0440  0.07
Zak 1937   73  0.2387  0.0071  0.0472  0.0485  0.0368  0.03
Zak 1951   65  0.2588  0.0070  0.0377  0.0383  0.0370  0.03
Average   2  0.458  0.044  0.154  0.6277  0.0415  0.16
Random 1   90  -0.0863  0.0090  0.0290  0.0284  0.0287  0.02
Random 2   83  0.1464  0.0068  0.0380  0.031  0.6419  0.14
Random 3   91  -0.1589  0.0091  0.0191  0.0190  0.0191  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).