Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.4230  0.0023  0.1023  0.4521  0.4716  0.46
Anderszewski 2003   38  0.3640  0.0032  0.0832  0.3144  0.1427  0.21
Ashkenazy 1981   70  0.2687  0.0074  0.0383  0.0382  0.0385  0.03
Bacha 2000   65  0.2726  0.0059  0.0474  0.0447  0.0651  0.05
Badura 1965   72  0.2662  0.0073  0.0379  0.0381  0.0384  0.03
Barbosa 1983   36  0.3659  0.0034  0.0733  0.2568  0.0539  0.11
Biret 1990   5  0.476  0.044  0.198  0.6114  0.606  0.60
Blet 2003   40  0.3554  0.0046  0.0654  0.0652  0.0560  0.05
Block 1995   50  0.3271  0.0050  0.0746  0.0765  0.0464  0.05
Blumental 1952   43  0.3537  0.0033  0.0834  0.2559  0.0637  0.12
Boshniakovich 1969   45  0.3416  0.0030  0.1029  0.3649  0.0633  0.15
Brailowsky 1960   13  0.439  0.0214  0.1314  0.5513  0.647  0.59
Bunin 1987   84  0.1483  0.0085  0.0285  0.0280  0.0390  0.02
Bunin 1987b   85  0.1388  0.0086  0.0286  0.0283  0.0388  0.02
Chiu 1999   56  0.3089  0.0076  0.0467  0.0484  0.0379  0.03
Cohen 1997   8  0.4512  0.0112  0.147  0.631  0.794  0.71
Cortot 1951   34  0.3610  0.0219  0.1121  0.477  0.6311  0.54
Csalog 1996   59  0.2829  0.0072  0.0464  0.0485  0.0382  0.03
Czerny 1949   1  0.531  0.521  0.522  0.801  0.841  0.82
Czerny 1990   49  0.3380  0.0040  0.0643  0.1279  0.0447  0.07
Duchoud 2007   78  0.2328  0.0080  0.0471  0.0466  0.0575  0.04
Ezaki 2006   3  0.523  0.063  0.273  0.764  0.693  0.72
Falvay 1989   9  0.458  0.0210  0.1418  0.5123  0.3619  0.43
Farrell 1958   55  0.3061  0.0049  0.0748  0.0756  0.0649  0.06
Ferenczy 1958   41  0.3541  0.0026  0.0927  0.3812  0.7012  0.52
Fliere 1977   16  0.4213  0.0124  0.0930  0.3560  0.0536  0.13
Fou 1978   44  0.3517  0.0041  0.0544  0.1264  0.0444  0.07
Francois 1956   22  0.3948  0.0020  0.0920  0.4813  0.668  0.56
Friedman 1923   67  0.2742  0.0068  0.0556  0.0572  0.0478  0.04
Friedman 1923b   66  0.2767  0.0066  0.0470  0.0470  0.0476  0.04
Friedman 1930   53  0.3168  0.0062  0.0558  0.0555  0.0562  0.05
Garcia 2007   86  0.1243  0.0084  0.0381  0.0384  0.0383  0.03
Garcia 2007b   80  0.2270  0.0077  0.0382  0.0379  0.0486  0.03
Gierzod 1998   24  0.3927  0.008  0.139  0.6127  0.3217  0.44
Gornostaeva 1994   2  0.522  0.062  0.371  0.814  0.742  0.77
Groot 1988   21  0.4020  0.0022  0.1122  0.4754  0.0534  0.15
Harasiewicz 1955   4  0.487  0.045  0.174  0.6839  0.1922  0.36
Hatto 1993   35  0.3673  0.0044  0.0741  0.1380  0.0448  0.07
Hatto 1997   11  0.4415  0.0116  0.1219  0.5032  0.2523  0.35
Horowitz 1949   83  0.1990  0.0083  0.0380  0.0378  0.0381  0.03
Indjic 1988   42  0.3581  0.0045  0.0747  0.0772  0.0459  0.05
Kapell 1951   76  0.2477  0.0079  0.0468  0.0477  0.0467  0.04
Kissin 1993   58  0.2869  0.0060  0.0562  0.0572  0.0558  0.05
Kushner 1989   32  0.3645  0.0039  0.0538  0.1855  0.0640  0.10
Luisada 1991   26  0.3833  0.0036  0.0539  0.1650  0.0738  0.11
Lushtak 2004   29  0.3736  0.0028  0.0926  0.3845  0.0732  0.16
Malcuzynski 1961   64  0.2766  0.0063  0.0560  0.0574  0.0469  0.04
Magaloff 1978   17  0.4222  0.0013  0.1416  0.5235  0.2024  0.32
Magin 1975   14  0.4331  0.0018  0.1613  0.5829  0.3615  0.46
Michalowski 1933   81  0.2260  0.0081  0.0378  0.0356  0.0672  0.04
Milkina 1970   20  0.4032  0.0017  0.1615  0.5335  0.3520  0.43
Mohovich 1999   46  0.3482  0.0047  0.0649  0.0672  0.0465  0.05
Moravec 1969   33  0.3623  0.0027  0.0924  0.4247  0.0729  0.17
Morozova 2008   61  0.2864  0.0070  0.0376  0.0387  0.0289  0.02
Neighaus 1950   18  0.4119  0.009  0.1410  0.6111  0.509  0.55
Niedzielski 1931   87  0.1052  0.0087  0.0287  0.0278  0.0387  0.02
Ohlsson 1999   30  0.3738  0.0038  0.0537  0.1887  0.0345  0.07
Osinska 1989   7  0.4614  0.0111  0.1711  0.6027  0.4113  0.50
Pachmann 1927   79  0.2375  0.0082  0.0473  0.0461  0.0571  0.04
Paderewski 1930   82  0.1925  0.0057  0.0465  0.0450  0.0656  0.05
Perlemuter 1992   54  0.3046  0.0065  0.0561  0.0549  0.0652  0.05
Pierdomenico 2008   71  0.2655  0.0071  0.0384  0.0378  0.0380  0.03
Poblocka 1999   25  0.3847  0.0043  0.0640  0.1455  0.0642  0.09
Rabcewiczowa 1932   12  0.444  0.066  0.206  0.639  0.645  0.63
Rachmaninoff 1923   52  0.3134  0.0051  0.0652  0.0657  0.0553  0.05
Rangell 2001   77  0.2444  0.0055  0.0557  0.0566  0.0477  0.04
Richter 1976   48  0.3350  0.0061  0.0472  0.0452  0.0655  0.05
Rosen 1989   23  0.3956  0.0037  0.0536  0.1955  0.0541  0.10
Rosenthal 1930   31  0.3721  0.0029  0.1031  0.3219  0.5821  0.43
Rosenthal 1931   62  0.2863  0.0054  0.0845  0.0827  0.4428  0.19
Rosenthal 1931b   69  0.2672  0.0053  0.0655  0.0626  0.4631  0.17
Rosenthal 1931c   39  0.3618  0.0025  0.1025  0.4113  0.5614  0.48
Rosenthal 1931d   68  0.2657  0.0048  0.0650  0.0616  0.4930  0.17
Rossi 2007   75  0.2458  0.0078  0.0377  0.0356  0.0566  0.04
Rubinstein 1939   37  0.3684  0.0042  0.0542  0.1362  0.0443  0.07
Rubinstein 1952   10  0.4411  0.0115  0.1312  0.5833  0.3418  0.44
Rubinstein 1966   19  0.4149  0.0021  0.1117  0.5143  0.1026  0.23
Schilhawsky 1960   47  0.3324  0.0064  0.0651  0.0676  0.0461  0.05
Shebanova 2002   74  0.2478  0.0075  0.0469  0.0478  0.0474  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   28  0.3776  0.0035  0.0735  0.2131  0.3625  0.27
Sztompka 1959   51  0.3285  0.0052  0.0653  0.0655  0.0557  0.05
Tomsic 1995   57  0.2939  0.0056  0.0463  0.0463  0.0570  0.04
Uninsky 1932   60  0.2874  0.0067  0.0466  0.0455  0.0573  0.04
Uninsky 1971   6  0.465  0.057  0.135  0.6722  0.4310  0.54
Wasowski 1980   27  0.3835  0.0031  0.1028  0.3766  0.0535  0.14
Zak 1937   73  0.2579  0.0069  0.0475  0.0481  0.0468  0.04
Zak 1951   63  0.2765  0.0058  0.0559  0.0559  0.0554  0.05
Random 1   90  0.0051  0.0089  0.0188  0.0116  0.4250  0.06
Random 2   89  0.0153  0.0090  0.0190  0.0128  0.2463  0.05
Random 3   88  0.0186  0.0088  0.0189  0.014  0.5346  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).