Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.4230  0.0024  0.1024  0.4522  0.4716  0.46
Anderszewski 2003   39  0.3641  0.0033  0.0833  0.3145  0.1427  0.21
Ashkenazy 1981   71  0.2688  0.0075  0.0384  0.0383  0.0386  0.03
Bacha 2000   66  0.2726  0.0060  0.0475  0.0448  0.0652  0.05
Badura 1965   73  0.2663  0.0074  0.0380  0.0382  0.0385  0.03
Barbosa 1983   37  0.3660  0.0035  0.0734  0.2569  0.0540  0.11
Biret 1990   6  0.474  0.045  0.189  0.6115  0.606  0.60
Blet 2003   41  0.3555  0.0047  0.0655  0.0653  0.0560  0.05
Block 1995   51  0.3272  0.0051  0.0747  0.0766  0.0463  0.05
Blumental 1952   44  0.3537  0.0034  0.0835  0.2560  0.0638  0.12
Boshniakovich 1969   46  0.3416  0.0031  0.1030  0.3650  0.0634  0.15
Brailowsky 1960   14  0.4314  0.0115  0.1315  0.5514  0.647  0.59
Bunin 1987   85  0.1484  0.0086  0.0286  0.0281  0.0391  0.02
Bunin 1987b   86  0.1389  0.0087  0.0287  0.0284  0.0389  0.02
Chiu 1999   57  0.3090  0.0077  0.0468  0.0485  0.0380  0.03
Cohen 1997   9  0.4512  0.0113  0.148  0.632  0.794  0.71
Cortot 1951   35  0.3610  0.0220  0.1122  0.478  0.6311  0.54
Csalog 1996   60  0.2829  0.0073  0.0465  0.0486  0.0383  0.03
Czerny 1949   2  0.531  0.331  0.323  0.801  0.841  0.82
Czerny 1990   50  0.3381  0.0041  0.0644  0.1280  0.0449  0.07
Duchoud 2007   79  0.2328  0.0081  0.0472  0.0467  0.0476  0.04
Ezaki 2006   4  0.526  0.044  0.264  0.765  0.693  0.72
Falvay 1989   10  0.459  0.0211  0.1319  0.5124  0.3619  0.43
Farrell 1958   56  0.3062  0.0050  0.0749  0.0757  0.0651  0.06
Ferenczy 1958   42  0.3542  0.0027  0.0828  0.3813  0.7012  0.52
Fliere 1977   17  0.4213  0.0125  0.0931  0.3561  0.0537  0.13
Fou 1978   45  0.3517  0.0042  0.0545  0.1265  0.0445  0.07
Francois 1956   23  0.3948  0.0021  0.0921  0.4814  0.668  0.56
Friedman 1923   68  0.2743  0.0069  0.0557  0.0573  0.0479  0.04
Friedman 1923b   67  0.2768  0.0067  0.0471  0.0471  0.0477  0.04
Friedman 1930   54  0.3169  0.0063  0.0559  0.0556  0.0561  0.05
Garcia 2007   87  0.1244  0.0085  0.0382  0.0385  0.0384  0.03
Garcia 2007b   81  0.2271  0.0078  0.0383  0.0380  0.0487  0.03
Gierzod 1998   25  0.3927  0.009  0.1310  0.6128  0.3217  0.44
Gornostaeva 1994   3  0.527  0.033  0.372  0.815  0.742  0.77
Groot 1988   22  0.4021  0.0023  0.1123  0.4755  0.0535  0.15
Harasiewicz 1955   5  0.488  0.026  0.175  0.6840  0.1922  0.36
Hatto 1993   36  0.3674  0.0045  0.0742  0.1381  0.0450  0.07
Hatto 1997   12  0.4420  0.0017  0.1220  0.5033  0.2523  0.35
Horowitz 1949   84  0.1991  0.0084  0.0381  0.0379  0.0382  0.03
Indjic 1988   43  0.3583  0.0046  0.0748  0.0773  0.0459  0.05
Kapell 1951   77  0.2478  0.0080  0.0469  0.0478  0.0466  0.04
Kissin 1993   59  0.2870  0.0061  0.0463  0.0473  0.0572  0.04
Kushner 1989   33  0.3649  0.0040  0.0539  0.1856  0.0543  0.09
Luisada 1991   27  0.3832  0.0037  0.0540  0.1651  0.0739  0.11
Lushtak 2004   30  0.3736  0.0029  0.0927  0.3846  0.0733  0.16
Malcuzynski 1961   65  0.2767  0.0064  0.0561  0.0575  0.0468  0.04
Magaloff 1978   18  0.4233  0.0014  0.1417  0.5236  0.2024  0.32
Magin 1975   15  0.4338  0.0019  0.1614  0.5830  0.3615  0.46
Michalowski 1933   82  0.2261  0.0082  0.0379  0.0357  0.0671  0.04
Milkina 1970   21  0.4031  0.0018  0.1616  0.5336  0.3520  0.43
Mohovich 1999   47  0.3482  0.0048  0.0650  0.0673  0.0464  0.05
Moravec 1969   34  0.3623  0.0028  0.0925  0.4248  0.0730  0.17
Morozova 2008   62  0.2865  0.0071  0.0377  0.0388  0.0290  0.02
Neighaus 1950   19  0.4119  0.0010  0.1411  0.6112  0.509  0.55
Niedzielski 1931   88  0.1053  0.0088  0.0288  0.0279  0.0388  0.02
Ohlsson 1999   31  0.3739  0.0039  0.0538  0.1888  0.0346  0.07
Osinska 1989   8  0.4615  0.0112  0.1612  0.6028  0.4113  0.50
Pachmann 1927   80  0.2375  0.0083  0.0474  0.0462  0.0570  0.04
Paderewski 1930   83  0.1925  0.0058  0.0466  0.0451  0.0657  0.05
Perlemuter 1992   55  0.3046  0.0066  0.0562  0.0550  0.0653  0.05
Pierdomenico 2008   72  0.2656  0.0072  0.0385  0.0379  0.0381  0.03
Poblocka 1999   26  0.3847  0.0044  0.0641  0.1456  0.0642  0.09
Rabcewiczowa 1932   13  0.443  0.057  0.197  0.6310  0.645  0.63
Rachmaninoff 1923   53  0.3134  0.0052  0.0653  0.0658  0.0554  0.05
Rangell 2001   78  0.2445  0.0056  0.0558  0.0567  0.0478  0.04
Richter 1976   49  0.3351  0.0062  0.0473  0.0453  0.0656  0.05
Rosen 1989   24  0.3957  0.0038  0.0537  0.1956  0.0541  0.10
Rosenthal 1930   32  0.3722  0.0030  0.1032  0.3220  0.5821  0.43
Rosenthal 1931   63  0.2864  0.0055  0.0846  0.0828  0.4428  0.19
Rosenthal 1931b   70  0.2673  0.0054  0.0656  0.0627  0.4632  0.17
Rosenthal 1931c   40  0.3618  0.0026  0.1026  0.4114  0.5614  0.48
Rosenthal 1931d   69  0.2658  0.0049  0.0651  0.0617  0.4931  0.17
Rossi 2007   76  0.2459  0.0079  0.0378  0.0357  0.0565  0.04
Rubinstein 1939   38  0.3685  0.0043  0.0543  0.1363  0.0444  0.07
Rubinstein 1952   11  0.4411  0.0116  0.1313  0.5834  0.3418  0.44
Rubinstein 1966   20  0.4150  0.0022  0.1118  0.5144  0.1026  0.23
Schilhawsky 1960   48  0.3324  0.0065  0.0652  0.0677  0.0373  0.04
Shebanova 2002   75  0.2479  0.0076  0.0470  0.0479  0.0475  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   29  0.3776  0.0036  0.0736  0.2132  0.3625  0.27
Sztompka 1959   52  0.3286  0.0053  0.0654  0.0656  0.0558  0.05
Tomsic 1995   58  0.2940  0.0057  0.0464  0.0464  0.0569  0.04
Uninsky 1932   61  0.2877  0.0068  0.0467  0.0456  0.0574  0.04
Uninsky 1971   7  0.465  0.048  0.136  0.6723  0.4310  0.54
Wasowski 1980   28  0.3835  0.0032  0.1029  0.3767  0.0536  0.14
Zak 1937   74  0.2580  0.0070  0.0476  0.0482  0.0467  0.04
Zak 1951   64  0.2766  0.0059  0.0560  0.0560  0.0555  0.05
Average   1  0.572  0.312  0.531  0.8575  0.0429  0.18
Random 1   91  0.0052  0.0090  0.0189  0.0115  0.4347  0.07
Random 2   90  0.0154  0.0091  0.0191  0.0127  0.2762  0.05
Random 3   89  0.0187  0.0089  0.0190  0.014  0.5348  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).