Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.6358  0.0059  0.0549  0.0559  0.0478  0.04
Anderszewski 2003   11  0.7217  0.0112  0.0718  0.3221  0.2619  0.29
Ashkenazy 1981   18  0.6939  0.0020  0.0911  0.3930  0.2317  0.30
Bacha 2000   36  0.634  0.076  0.129  0.416  0.456  0.43
Badura 1965   82  0.5035  0.0084  0.0551  0.0578  0.0379  0.04
Barbosa 1983   71  0.5614  0.0132  0.0528  0.2111  0.4118  0.29
Biret 1990   46  0.6240  0.0030  0.0534  0.1740  0.1039  0.13
Blet 2003   58  0.5957  0.0076  0.0388  0.0363  0.0575  0.04
Block 1995   62  0.5721  0.0122  0.0735  0.1622  0.2523  0.20
Blumental 1952   47  0.619  0.0217  0.0620  0.3036  0.1324  0.20
Boshniakovich 1969   21  0.6620  0.0140  0.0441  0.0951  0.0654  0.07
Brailowsky 1960   10  0.7224  0.014  0.115  0.473  0.632  0.54
Bunin 1987   87  0.3486  0.0088  0.0465  0.0475  0.0388  0.03
Bunin 1987b   88  0.3372  0.0087  0.0460  0.0470  0.0468  0.04
Chiu 1999   68  0.5783  0.0024  0.0636  0.1640  0.1428  0.15
Cohen 1997   85  0.3956  0.0079  0.0379  0.0326  0.2949  0.09
Cortot 1951   57  0.5987  0.0069  0.0384  0.0371  0.0489  0.03
Csalog 1996   84  0.4743  0.0043  0.0342  0.0835  0.1840  0.12
Czerny 1949   65  0.5747  0.0066  0.0374  0.0347  0.0763  0.05
Czerny 1990   9  0.7252  0.0013  0.0915  0.3730  0.2220  0.29
Duchoud 2007   75  0.5528  0.0164  0.0462  0.0438  0.1452  0.07
Ezaki 2006   8  0.7326  0.0116  0.0713  0.3827  0.299  0.33
Falvay 1989   34  0.6471  0.0057  0.0453  0.0413  0.5234  0.14
Farrell 1958   24  0.6662  0.0019  0.0612  0.3921  0.407  0.39
Ferenczy 1958   27  0.6612  0.0144  0.0540  0.0918  0.3427  0.17
Fliere 1977   5  0.756  0.058  0.094  0.5161  0.0433  0.14
Fou 1978   42  0.6249  0.0052  0.0647  0.0661  0.0461  0.05
Francois 1956   44  0.6284  0.0058  0.0452  0.0441  0.1256  0.07
Friedman 1923   52  0.6036  0.0071  0.0458  0.0468  0.0483  0.04
Friedman 1923b   53  0.6074  0.0070  0.0468  0.0465  0.0580  0.04
Friedman 1930   32  0.6423  0.0168  0.0381  0.0343  0.1651  0.07
Garcia 2007   51  0.6081  0.0067  0.0382  0.0373  0.0387  0.03
Garcia 2007b   39  0.6390  0.0050  0.0648  0.0657  0.0564  0.05
Gierzod 1998   12  0.7210  0.0123  0.0622  0.2663  0.0448  0.10
Gornostaeva 1994   2  0.7913  0.015  0.182  0.575  0.531  0.55
Groot 1988   35  0.6416  0.0115  0.0719  0.3119  0.398  0.35
Harasiewicz 1955   30  0.6459  0.0046  0.0471  0.0472  0.0482  0.04
Hatto 1993   67  0.5763  0.0072  0.0387  0.0350  0.0681  0.04
Hatto 1997   61  0.5876  0.0074  0.0646  0.0649  0.0658  0.06
Horowitz 1949   78  0.5369  0.0083  0.0455  0.0470  0.0470  0.04
Indjic 1988   60  0.5855  0.0073  0.0375  0.0349  0.0674  0.04
Kapell 1951   33  0.6427  0.0126  0.0525  0.2349  0.0544  0.11
Kissin 1993   22  0.6634  0.0039  0.0439  0.1072  0.0362  0.05
Kushner 1989   17  0.7018  0.0128  0.0530  0.2042  0.1229  0.15
Luisada 1991   13  0.7133  0.0011  0.077  0.4528  0.2410  0.33
Lushtak 2004   49  0.6125  0.0135  0.0631  0.2048  0.0646  0.11
Malcuzynski 1961   77  0.5368  0.0080  0.0470  0.0467  0.0469  0.04
Magaloff 1978   25  0.663  0.089  0.0921  0.2713  0.3913  0.32
Magin 1975   7  0.735  0.067  0.0914  0.3729  0.2515  0.30
Michalowski 1933   54  0.6077  0.0078  0.0380  0.0352  0.0672  0.04
Milkina 1970   14  0.7185  0.0014  0.0816  0.3628  0.3111  0.33
Mohovich 1999   6  0.7467  0.0010  0.088  0.4215  0.475  0.44
Moravec 1969   74  0.5546  0.0063  0.0454  0.0420  0.4438  0.13
Morozova 2008   50  0.6041  0.0061  0.0464  0.0450  0.0576  0.04
Neighaus 1950   20  0.677  0.0329  0.0629  0.2074  0.0450  0.09
Niedzielski 1931   31  0.6464  0.0038  0.0538  0.1440  0.1535  0.14
Ohlsson 1999   28  0.6537  0.0041  0.0443  0.0851  0.0557  0.06
Osinska 1989   4  0.7815  0.013  0.133  0.5321  0.413  0.47
Pachmann 1927   76  0.5361  0.0085  0.0472  0.0467  0.0385  0.03
Paderewski 1930   70  0.5688  0.0075  0.0376  0.0367  0.0384  0.03
Perlemuter 1992   55  0.5950  0.0053  0.0456  0.0460  0.0466  0.04
Pierdomenico 2008   72  0.5644  0.0054  0.0467  0.0429  0.2943  0.11
Poblocka 1999   66  0.5766  0.0065  0.0473  0.0446  0.0759  0.05
Rabcewiczowa 1932   69  0.5778  0.0060  0.0457  0.0452  0.0567  0.04
Rachmaninoff 1923   43  0.6222  0.0151  0.0550  0.0550  0.0560  0.05
Rangell 2001   80  0.5170  0.0045  0.0444  0.0826  0.3031  0.15
Richter 1976   86  0.3745  0.0086  0.0386  0.0364  0.0571  0.04
Rosen 1989   3  0.782  0.152  0.236  0.4716  0.414  0.44
Rosenthal 1930   64  0.5730  0.0162  0.0459  0.0432  0.1453  0.07
Rosenthal 1931   38  0.6351  0.0048  0.0463  0.048  0.5430  0.15
Rosenthal 1931b   45  0.6273  0.0049  0.0461  0.048  0.5532  0.15
Rosenthal 1931c   59  0.5860  0.0055  0.0377  0.039  0.5042  0.12
Rosenthal 1931d   37  0.6342  0.0042  0.0445  0.078  0.5625  0.20
Rossi 2007   56  0.5965  0.0025  0.0637  0.1514  0.4222  0.25
Rubinstein 1939   40  0.6311  0.0137  0.0932  0.1810  0.4121  0.27
Rubinstein 1952   79  0.5232  0.0136  0.0627  0.2116  0.4614  0.31
Rubinstein 1966   26  0.6638  0.0033  0.0524  0.2412  0.4612  0.33
Schilhawsky 1960   81  0.5029  0.0181  0.0378  0.0371  0.0486  0.03
Shebanova 2002   16  0.7189  0.0021  0.0717  0.3667  0.0441  0.12
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   63  0.578  0.0227  0.0533  0.1730  0.2126  0.19
Sztompka 1959   15  0.7179  0.0018  0.0710  0.4063  0.0537  0.14
Tomsic 1995   48  0.6131  0.0156  0.0466  0.0415  0.5036  0.14
Uninsky 1932   73  0.5680  0.0077  0.0385  0.0367  0.0577  0.04
Uninsky 1971   83  0.4919  0.0182  0.0383  0.0355  0.0673  0.04
Wasowski 1980   29  0.6548  0.0047  0.0469  0.0460  0.0565  0.04
Zak 1937   19  0.6854  0.0031  0.0623  0.2551  0.0545  0.11
Zak 1951   23  0.6653  0.0034  0.0526  0.2257  0.0547  0.10
Average   1  0.811  0.251  0.241  0.7143  0.1316  0.30
Random 1   91  -0.3282  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   90  -0.3091  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   89  -0.0675  0.0089  0.0289  0.0229  0.2855  0.07

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).