Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.6086  0.0035  0.0732  0.2620  0.3731  0.31
Anderszewski 2003   15  0.6125  0.0013  0.117  0.513  0.608  0.55
Ashkenazy 1981   39  0.5687  0.0027  0.0524  0.3429  0.2732  0.30
Bacha 2000   79  0.3784  0.0080  0.0459  0.0436  0.2357  0.10
Badura 1965   57  0.4747  0.0063  0.0460  0.0424  0.3356  0.11
Barbosa 1983   55  0.4940  0.0053  0.0452  0.0435  0.2955  0.11
Biret 1990   22  0.5920  0.0119  0.0714  0.439  0.5415  0.48
Blet 2003   33  0.5849  0.0023  0.0623  0.345  0.4920  0.41
Block 1995   48  0.5263  0.0046  0.0458  0.0411  0.4651  0.14
Blumental 1952   74  0.4056  0.0029  0.0538  0.1816  0.3640  0.25
Boshniakovich 1969   50  0.5144  0.0061  0.0475  0.0435  0.2460  0.10
Brailowsky 1960   45  0.5350  0.0060  0.0474  0.0432  0.2164  0.09
Bunin 1987   29  0.5931  0.0032  0.0527  0.2818  0.4029  0.33
Bunin 1987b   27  0.5979  0.0033  0.0629  0.2818  0.4027  0.33
Chiu 1999   68  0.4466  0.0078  0.0378  0.0355  0.0579  0.04
Cohen 1997   67  0.4515  0.0149  0.0467  0.042  0.5948  0.15
Cortot 1951   30  0.584  0.039  0.1313  0.451  0.716  0.57
Csalog 1996   83  0.2788  0.0088  0.0285  0.0272  0.0390  0.02
Czerny 1949   4  0.6813  0.027  0.175  0.613  0.752  0.68
Czerny 1990   35  0.5789  0.0048  0.0454  0.0448  0.0675  0.05
Duchoud 2007   42  0.5553  0.0040  0.0537  0.1928  0.3838  0.27
Ezaki 2006   2  0.752  0.052  0.312  0.682  0.721  0.70
Falvay 1989   24  0.5932  0.0034  0.0631  0.2619  0.3234  0.29
Farrell 1958   44  0.5439  0.0041  0.0641  0.144  0.6235  0.29
Ferenczy 1958   28  0.599  0.0221  0.0620  0.371  0.5816  0.46
Fliere 1977   18  0.6042  0.0043  0.0543  0.1248  0.0763  0.09
Fou 1978   53  0.5068  0.0047  0.0550  0.0539  0.1959  0.10
Francois 1956   9  0.646  0.024  0.1712  0.468  0.5514  0.50
Friedman 1923   87  0.1973  0.0083  0.0287  0.0241  0.1277  0.05
Friedman 1923b   88  0.1962  0.0084  0.0381  0.0338  0.1274  0.06
Friedman 1930   75  0.4030  0.0068  0.0548  0.0521  0.4347  0.15
Garcia 2007   86  0.2180  0.0085  0.0383  0.0360  0.0487  0.03
Garcia 2007b   84  0.2481  0.0082  0.0286  0.0252  0.0488  0.03
Gierzod 1998   32  0.585  0.0217  0.1021  0.374  0.5019  0.43
Gornostaeva 1994   3  0.713  0.043  0.163  0.634  0.684  0.65
Groot 1988   16  0.6129  0.0018  0.0728  0.2825  0.3233  0.30
Harasiewicz 1955   5  0.6610  0.026  0.156  0.574  0.5210  0.54
Hatto 1993   80  0.3664  0.0065  0.0468  0.0427  0.2762  0.10
Hatto 1997   63  0.4526  0.0022  0.0633  0.2312  0.4628  0.33
Horowitz 1949   77  0.3755  0.0081  0.0470  0.0464  0.0482  0.04
Indjic 1988   81  0.3590  0.0069  0.0466  0.0432  0.2266  0.09
Kapell 1951   25  0.5965  0.0025  0.0522  0.3420  0.4521  0.39
Kissin 1993   40  0.5611  0.0244  0.0742  0.1332  0.2942  0.19
Kushner 1989   37  0.5751  0.0054  0.0546  0.0544  0.1267  0.08
Luisada 1991   26  0.5922  0.0145  0.0545  0.0929  0.3243  0.17
Lushtak 2004   19  0.6043  0.0014  0.138  0.514  0.617  0.56
Malcuzynski 1961   11  0.6324  0.0015  0.0918  0.3822  0.3724  0.37
Magaloff 1978   13  0.6234  0.0016  0.1416  0.3913  0.3722  0.38
Magin 1975   52  0.5045  0.0066  0.0476  0.0424  0.2558  0.10
Michalowski 1933   66  0.4535  0.0050  0.0473  0.0421  0.3952  0.12
Milkina 1970   49  0.5227  0.0055  0.0456  0.0438  0.2065  0.09
Mohovich 1999   23  0.5960  0.0038  0.0835  0.2322  0.3537  0.28
Moravec 1969   58  0.4728  0.0070  0.0463  0.0443  0.1170  0.07
Morozova 2008   34  0.5769  0.0030  0.0740  0.1631  0.1645  0.16
Neighaus 1950   7  0.6414  0.015  0.204  0.614  0.645  0.62
Niedzielski 1931   82  0.3046  0.0086  0.0284  0.0286  0.0289  0.02
Ohlsson 1999   17  0.6054  0.0026  0.0526  0.2820  0.3136  0.29
Osinska 1989   10  0.6412  0.0210  0.1210  0.496  0.609  0.54
Pachmann 1927   78  0.3737  0.0071  0.0379  0.0340  0.1571  0.07
Paderewski 1930   36  0.5738  0.0031  0.0730  0.275  0.5423  0.38
Perlemuter 1992   31  0.5870  0.0037  0.0634  0.2318  0.4430  0.32
Pierdomenico 2008   51  0.5182  0.0067  0.0551  0.0524  0.2454  0.11
Poblocka 1999   38  0.5771  0.0024  0.0525  0.3116  0.3826  0.34
Rabcewiczowa 1932   14  0.6218  0.0120  0.0717  0.386  0.6812  0.51
Rachmaninoff 1923   70  0.4174  0.0064  0.0471  0.0454  0.0480  0.04
Rangell 2001   59  0.4721  0.0156  0.0465  0.0444  0.1373  0.07
Richter 1976   64  0.4591  0.0079  0.0461  0.0456  0.0483  0.04
Rosen 1989   41  0.5657  0.0039  0.0739  0.1717  0.4339  0.27
Rosenthal 1930   46  0.5275  0.0051  0.0472  0.0418  0.5150  0.14
Rosenthal 1931   65  0.4558  0.0052  0.0549  0.0513  0.5144  0.16
Rosenthal 1931b   73  0.4141  0.0058  0.0547  0.059  0.5446  0.16
Rosenthal 1931c   47  0.5252  0.0036  0.0736  0.218  0.6425  0.37
Rosenthal 1931d   71  0.4148  0.0057  0.0380  0.038  0.5053  0.12
Rossi 2007   61  0.4661  0.0074  0.0455  0.043  0.5249  0.14
Rubinstein 1939   85  0.2377  0.0087  0.0289  0.0269  0.0485  0.03
Rubinstein 1952   60  0.4716  0.0159  0.0453  0.0453  0.0776  0.05
Rubinstein 1966   56  0.4733  0.0072  0.0377  0.0336  0.2468  0.08
Schilhawsky 1960   43  0.5523  0.0042  0.0544  0.1222  0.3741  0.21
Shebanova 2002   62  0.4559  0.0076  0.0457  0.0459  0.0584  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   6  0.667  0.0212  0.149  0.504  0.5511  0.52
Sztompka 1959   21  0.6078  0.0028  0.0719  0.3810  0.4818  0.43
Tomsic 1995   8  0.648  0.028  0.1415  0.4312  0.4317  0.43
Uninsky 1932   54  0.5019  0.0162  0.0469  0.0443  0.1172  0.07
Uninsky 1971   12  0.6217  0.0111  0.1411  0.477  0.5313  0.50
Wasowski 1980   76  0.3972  0.0075  0.0464  0.0458  0.0578  0.04
Zak 1937   72  0.4185  0.0077  0.0382  0.0369  0.0486  0.03
Zak 1951   69  0.4483  0.0073  0.0462  0.0466  0.0481  0.04
Average   1  0.781  0.561  0.551  0.806  0.553  0.66
Random 1   91  -0.0536  0.0091  0.0191  0.0158  0.0491  0.02
Random 2   90  -0.0276  0.0090  0.0290  0.0215  0.3569  0.08
Random 3   89  0.0567  0.0089  0.0288  0.024  0.4961  0.10

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).