Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.4732  0.0040  0.0740  0.2311  0.5119  0.34
Anderszewski 2003   31  0.4753  0.0027  0.0633  0.2951  0.0741  0.14
Ashkenazy 1981   53  0.3764  0.0052  0.0846  0.0843  0.1348  0.10
Bacha 2000   64  0.3369  0.0074  0.0475  0.0451  0.0469  0.04
Badura 1965   63  0.3442  0.0067  0.0564  0.0560  0.0565  0.05
Barbosa 1983   12  0.5119  0.0111  0.1310  0.5840  0.1822  0.32
Biret 1990   8  0.536  0.033  0.196  0.6520  0.475  0.55
Blet 2003   40  0.4345  0.0044  0.0844  0.1712  0.4031  0.26
Block 1995   57  0.3628  0.0063  0.0560  0.0575  0.0477  0.04
Blumental 1952   9  0.5234  0.0017  0.1115  0.5228  0.459  0.48
Boshniakovich 1969   22  0.493  0.047  0.148  0.6023  0.3510  0.46
Brailowsky 1960   2  0.612  0.112  0.242  0.724  0.731  0.72
Bunin 1987   81  0.2389  0.0081  0.0378  0.0377  0.0386  0.03
Bunin 1987b   85  0.2090  0.0086  0.0286  0.0287  0.0387  0.02
Chiu 1999   60  0.3580  0.0068  0.0468  0.0456  0.0662  0.05
Cohen 1997   72  0.3274  0.0073  0.0380  0.0348  0.0578  0.04
Cortot 1951   78  0.2776  0.0080  0.0561  0.0551  0.0760  0.06
Csalog 1996   54  0.3744  0.0041  0.0643  0.1941  0.1635  0.17
Czerny 1949   20  0.505  0.0310  0.129  0.5927  0.514  0.55
Czerny 1990   7  0.5521  0.008  0.184  0.6730  0.513  0.58
Duchoud 2007   84  0.2057  0.0085  0.0287  0.0275  0.0391  0.02
Ezaki 2006   27  0.4812  0.0246  0.0749  0.0766  0.0557  0.06
Falvay 1989   3  0.577  0.025  0.1311  0.5536  0.3711  0.45
Farrell 1958   69  0.3284  0.0058  0.0562  0.0571  0.0471  0.04
Ferenczy 1958   50  0.3948  0.0059  0.0556  0.0541  0.1551  0.09
Fliere 1977   5  0.5611  0.026  0.145  0.6524  0.437  0.53
Fou 1978   18  0.5013  0.0221  0.0722  0.4541  0.1627  0.27
Francois 1956   76  0.2977  0.0076  0.0474  0.0464  0.0479  0.04
Friedman 1923   46  0.4229  0.0037  0.0637  0.2711  0.5417  0.38
Friedman 1923b   41  0.4333  0.0032  0.0828  0.356  0.5812  0.45
Friedman 1930   51  0.3831  0.0036  0.0641  0.2321  0.4224  0.31
Garcia 2007   83  0.2175  0.0083  0.0377  0.0349  0.0576  0.04
Garcia 2007b   55  0.3730  0.0049  0.0750  0.0751  0.0661  0.06
Gierzod 1998   6  0.5616  0.019  0.247  0.6336  0.2815  0.42
Gornostaeva 1994   29  0.4859  0.0023  0.0821  0.4533  0.2918  0.36
Groot 1988   42  0.4270  0.0029  0.0630  0.3436  0.1632  0.23
Harasiewicz 1955   10  0.529  0.0214  0.1318  0.4744  0.1629  0.27
Hatto 1993   28  0.4891  0.0030  0.0725  0.4052  0.0542  0.14
Hatto 1997   24  0.4867  0.0035  0.0529  0.3551  0.0544  0.13
Horowitz 1949   73  0.3285  0.0070  0.0381  0.0335  0.1856  0.07
Indjic 1988   16  0.5181  0.0024  0.0720  0.4545  0.1530  0.26
Kapell 1951   49  0.4046  0.0055  0.0847  0.0863  0.0559  0.06
Kissin 1993   48  0.4151  0.0062  0.0465  0.0459  0.0572  0.04
Kushner 1989   14  0.5110  0.0212  0.1513  0.5445  0.1526  0.28
Luisada 1991   15  0.518  0.0215  0.1316  0.5112  0.556  0.53
Lushtak 2004   38  0.4520  0.0134  0.0634  0.2951  0.0545  0.12
Malcuzynski 1961   70  0.3286  0.0072  0.0383  0.0375  0.0384  0.03
Magaloff 1978   17  0.5052  0.0018  0.1117  0.4725  0.3914  0.43
Magin 1975   4  0.574  0.044  0.193  0.716  0.642  0.67
Michalowski 1933   77  0.2858  0.0078  0.0469  0.0421  0.4043  0.13
Milkina 1970   13  0.5114  0.0113  0.1512  0.5447  0.0833  0.21
Mohovich 1999   43  0.4255  0.0053  0.0654  0.0672  0.0467  0.05
Moravec 1969   34  0.4687  0.0038  0.0736  0.2749  0.0938  0.16
Morozova 2008   68  0.3382  0.0056  0.0466  0.0457  0.0574  0.04
Neighaus 1950   61  0.3541  0.0050  0.0753  0.0718  0.4337  0.17
Niedzielski 1931   87  0.1678  0.0087  0.0385  0.0378  0.0383  0.03
Ohlsson 1999   67  0.3365  0.0061  0.0559  0.0551  0.0564  0.05
Osinska 1989   25  0.4836  0.0033  0.0632  0.2948  0.0740  0.14
Pachmann 1927   82  0.2288  0.0084  0.0289  0.0271  0.0389  0.02
Paderewski 1930   88  0.1635  0.0065  0.0472  0.0435  0.1753  0.08
Perlemuter 1992   74  0.3271  0.0077  0.0471  0.0456  0.0570  0.04
Pierdomenico 2008   79  0.2556  0.0082  0.0384  0.0370  0.0482  0.03
Poblocka 1999   11  0.5225  0.0020  0.0819  0.4637  0.2420  0.33
Rabcewiczowa 1932   56  0.3647  0.0031  0.0739  0.2451  0.0547  0.11
Rachmaninoff 1923   30  0.4815  0.0122  0.0723  0.4219  0.4713  0.44
Rangell 2001   75  0.3060  0.0079  0.0558  0.0567  0.0568  0.05
Richter 1976   35  0.4618  0.0128  0.0731  0.3234  0.2925  0.30
Rosen 1989   36  0.4527  0.0054  0.0751  0.0769  0.0466  0.05
Rosenthal 1930   47  0.4126  0.0043  0.0842  0.2220  0.4921  0.33
Rosenthal 1931   65  0.3354  0.0075  0.0470  0.0458  0.0573  0.04
Rosenthal 1931b   66  0.3363  0.0069  0.0376  0.0334  0.2255  0.08
Rosenthal 1931c   45  0.4224  0.0042  0.0735  0.2824  0.3723  0.32
Rosenthal 1931d   59  0.3572  0.0057  0.0467  0.0426  0.3546  0.12
Rossi 2007   86  0.2049  0.0088  0.0379  0.0380  0.0381  0.03
Rubinstein 1939   44  0.4243  0.0048  0.0752  0.0747  0.0658  0.06
Rubinstein 1952   19  0.5040  0.0025  0.0724  0.4152  0.0639  0.16
Rubinstein 1966   23  0.4917  0.0126  0.0827  0.3949  0.0736  0.17
Schilhawsky 1960   21  0.4923  0.0019  0.0726  0.3928  0.4016  0.39
Shebanova 2002   58  0.3568  0.0060  0.0563  0.0564  0.0475  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   71  0.3283  0.0066  0.0473  0.0473  0.0380  0.03
Sztompka 1959   52  0.3861  0.0051  0.0848  0.0845  0.1049  0.09
Tomsic 1995   80  0.2379  0.0071  0.0382  0.0384  0.0288  0.02
Uninsky 1932   62  0.3437  0.0064  0.0557  0.0540  0.1454  0.08
Uninsky 1971   37  0.4522  0.0045  0.0845  0.1659  0.0550  0.09
Wasowski 1980   26  0.4839  0.0016  0.1114  0.5222  0.448  0.48
Zak 1937   39  0.4438  0.0047  0.0655  0.0664  0.0463  0.05
Zak 1951   33  0.4750  0.0039  0.0738  0.2534  0.1734  0.21
Average   1  0.651  0.481  0.471  0.7947  0.0928  0.27
Random 1   89  0.0162  0.0089  0.0288  0.0213  0.4252  0.09
Random 2   90  -0.0373  0.0091  0.0191  0.0179  0.0390  0.02
Random 3   91  -0.0566  0.0090  0.0190  0.0146  0.0785  0.03

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).