Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.4776  0.0050  0.0553  0.0547  0.0553  0.05
Anderszewski 2003   71  0.4042  0.0059  0.0456  0.0484  0.0273  0.03
Ashkenazy 1981   34  0.5519  0.0140  0.0536  0.1368  0.0351  0.06
Bacha 2000   55  0.4962  0.0060  0.0550  0.0538  0.1442  0.08
Badura 1965   68  0.4289  0.0067  0.0371  0.0367  0.0478  0.03
Barbosa 1983   73  0.3974  0.0068  0.0377  0.0358  0.0472  0.03
Biret 1990   41  0.5375  0.0052  0.0458  0.0484  0.0282  0.03
Blet 2003   64  0.4558  0.0070  0.0367  0.0377  0.0374  0.03
Block 1995   62  0.4524  0.0149  0.0551  0.0538  0.1444  0.08
Blumental 1952   72  0.4010  0.0257  0.0552  0.0534  0.1245  0.08
Boshniakovich 1969   16  0.6215  0.0120  0.0728  0.2621  0.2921  0.27
Brailowsky 1960   12  0.6511  0.029  0.0811  0.389  0.455  0.41
Bunin 1987   27  0.5648  0.0043  0.0542  0.1047  0.0549  0.07
Bunin 1987b   26  0.5647  0.0042  0.0540  0.1146  0.0548  0.07
Chiu 1999   37  0.548  0.0310  0.0718  0.3221  0.3513  0.33
Cohen 1997   83  0.2179  0.0077  0.0285  0.0254  0.0480  0.03
Cortot 1951   69  0.4134  0.0076  0.0379  0.0369  0.0383  0.03
Csalog 1996   60  0.4661  0.0072  0.0461  0.0439  0.1940  0.09
Czerny 1949   42  0.5331  0.0035  0.0738  0.1356  0.0543  0.08
Czerny 1990   15  0.629  0.0311  0.0715  0.3550  0.0535  0.13
Duchoud 2007   67  0.4287  0.0074  0.0460  0.0478  0.0277  0.03
Ezaki 2006   38  0.5466  0.0033  0.0634  0.1777  0.0346  0.07
Falvay 1989   6  0.6714  0.015  0.156  0.4815  0.356  0.41
Farrell 1958   18  0.6141  0.0036  0.0635  0.1411  0.2928  0.20
Ferenczy 1958   80  0.3149  0.0083  0.0378  0.0380  0.0288  0.02
Fliere 1977   8  0.6663  0.0014  0.078  0.4246  0.0630  0.16
Fou 1978   32  0.5546  0.0021  0.0617  0.3334  0.3018  0.31
Francois 1956   28  0.5618  0.0128  0.0626  0.2731  0.1924  0.23
Friedman 1923   87  0.0167  0.0087  0.0287  0.0263  0.0585  0.03
Friedman 1923b   86  0.0364  0.0086  0.0286  0.0251  0.0681  0.03
Friedman 1930   81  0.2451  0.0079  0.0382  0.0348  0.0559  0.04
Garcia 2007   79  0.3183  0.0073  0.0466  0.0433  0.2141  0.09
Garcia 2007b   84  0.1580  0.0084  0.0368  0.0361  0.0484  0.03
Gierzod 1998   22  0.5890  0.0053  0.0549  0.0570  0.0361  0.04
Gornostaeva 1994   33  0.5556  0.0051  0.0645  0.0647  0.0555  0.05
Groot 1988   4  0.7113  0.014  0.185  0.5114  0.404  0.45
Harasiewicz 1955   46  0.5233  0.0016  0.0613  0.3537  0.1523  0.23
Hatto 1993   76  0.355  0.0441  0.0543  0.0955  0.0356  0.05
Hatto 1997   74  0.3881  0.0056  0.0457  0.0463  0.0375  0.03
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   75  0.3677  0.0044  0.0444  0.0848  0.0550  0.06
Kapell 1951   56  0.4920  0.0162  0.0463  0.0460  0.0458  0.04
Kissin 1993   21  0.5817  0.0125  0.0712  0.3634  0.2319  0.29
Kushner 1989   19  0.5857  0.0039  0.0541  0.1148  0.0547  0.07
Luisada 1991   53  0.5026  0.0158  0.0462  0.0471  0.0363  0.03
Lushtak 2004   54  0.4971  0.0046  0.0646  0.0659  0.0454  0.05
Malcuzynski 1961   3  0.716  0.037  0.134  0.5322  0.307  0.40
Magaloff 1978   5  0.697  0.036  0.157  0.4523  0.338  0.39
Magin 1975   36  0.5428  0.0026  0.0633  0.1837  0.1431  0.16
Michalowski 1933   82  0.2160  0.0075  0.0376  0.0374  0.0370  0.03
Milkina 1970   10  0.6572  0.0017  0.0914  0.3522  0.3016  0.32
Mohovich 1999   9  0.6673  0.008  0.0910  0.4026  0.2517  0.32
Moravec 1969   13  0.644  0.0512  0.0622  0.3113  0.459  0.37
Morozova 2008   39  0.5332  0.0030  0.0625  0.2849  0.0536  0.12
Neighaus 1950   7  0.6738  0.0015  0.099  0.4238  0.1722  0.27
Niedzielski 1931   30  0.5650  0.0031  0.0730  0.212  0.5314  0.33
Ohlsson 1999   47  0.5227  0.0061  0.0464  0.0479  0.0369  0.03
Osinska 1989   48  0.5235  0.0063  0.0372  0.0357  0.0464  0.03
Pachmann 1927   57  0.4853  0.0045  0.0459  0.0431  0.2437  0.10
Paderewski 1930   66  0.4336  0.0080  0.0380  0.0383  0.0287  0.02
Perlemuter 1992   49  0.5229  0.0029  0.0529  0.2154  0.0438  0.09
Pierdomenico 2008   29  0.5625  0.0113  0.0616  0.3417  0.3115  0.32
Poblocka 1999   58  0.4784  0.0071  0.0369  0.0380  0.0365  0.03
Rabcewiczowa 1932   70  0.4085  0.0081  0.0370  0.0378  0.0367  0.03
Rachmaninoff 1923   14  0.632  0.103  0.191  0.612  0.571  0.59
Rangell 2001   44  0.5222  0.0148  0.0548  0.0558  0.0462  0.04
Richter 1976   40  0.5316  0.0127  0.0724  0.2826  0.1825  0.22
Rosen 1989   52  0.5068  0.0064  0.0384  0.0367  0.0379  0.03
Rosenthal 1930   31  0.5637  0.0037  0.0732  0.1830  0.2527  0.21
Rosenthal 1931   50  0.5054  0.0032  0.0931  0.2119  0.3720  0.28
Rosenthal 1931b   35  0.5540  0.0022  0.0620  0.3111  0.4211  0.36
Rosenthal 1931c   25  0.5643  0.0038  0.0637  0.1334  0.1832  0.15
Rosenthal 1931d   20  0.5844  0.0023  0.0919  0.329  0.4110  0.36
Rossi 2007   85  0.1188  0.0085  0.0375  0.0383  0.0286  0.02
Rubinstein 1939   78  0.3452  0.0078  0.0383  0.0330  0.3039  0.09
Rubinstein 1952   24  0.5745  0.0047  0.0647  0.0625  0.3433  0.14
Rubinstein 1966   51  0.5055  0.0034  0.0639  0.1140  0.1534  0.13
Schilhawsky 1960   17  0.6212  0.0218  0.0721  0.3138  0.1626  0.22
Shebanova 2002   45  0.5223  0.0154  0.0455  0.0457  0.0560  0.04
Smith 1975   61  0.4669  0.0066  0.0374  0.0363  0.0466  0.03
Sokolov 2002   43  0.5270  0.0055  0.0554  0.0564  0.0457  0.04
Sztompka 1959   77  0.3439  0.0082  0.0381  0.0374  0.0368  0.03
Tomsic 1995   23  0.5778  0.0024  0.0627  0.2637  0.1329  0.18
Uninsky 1932   63  0.4530  0.0065  0.0373  0.0366  0.0476  0.03
Uninsky 1971   65  0.4482  0.0069  0.0465  0.0469  0.0371  0.03
Wasowski 1980   11  0.6521  0.0119  0.0623  0.293  0.4112  0.34
Zak 1937   1  0.763  0.092  0.363  0.554  0.512  0.53
Zak 1951   2  0.751  0.321  0.322  0.567  0.503  0.53
Random 1   90  -0.1186  0.0090  0.0190  0.0154  0.0489  0.02
Random 2   88  -0.0365  0.0088  0.0288  0.0240  0.1252  0.05
Random 3   89  -0.0559  0.0089  0.0189  0.0180  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).