Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.4733  0.0039  0.0739  0.2310  0.5119  0.34
Anderszewski 2003   30  0.4752  0.0026  0.0632  0.2950  0.0740  0.14
Ashkenazy 1981   52  0.3763  0.0051  0.0945  0.0942  0.1347  0.11
Bacha 2000   63  0.3368  0.0073  0.0474  0.0450  0.0469  0.04
Badura 1965   62  0.3432  0.0066  0.0563  0.0559  0.0565  0.05
Barbosa 1983   11  0.5117  0.0110  0.139  0.5839  0.1822  0.32
Biret 1990   7  0.532  0.162  0.205  0.6519  0.475  0.55
Blet 2003   39  0.4345  0.0043  0.0843  0.1711  0.4030  0.26
Block 1995   56  0.3627  0.0062  0.0559  0.0574  0.0476  0.04
Blumental 1952   8  0.5235  0.0016  0.1114  0.5227  0.459  0.48
Boshniakovich 1969   21  0.494  0.096  0.157  0.6022  0.3510  0.46
Brailowsky 1960   1  0.611  0.251  0.251  0.723  0.731  0.72
Bunin 1987   80  0.2388  0.0080  0.0377  0.0376  0.0385  0.03
Bunin 1987b   84  0.2089  0.0085  0.0285  0.0286  0.0386  0.02
Chiu 1999   59  0.3579  0.0067  0.0467  0.0455  0.0661  0.05
Cohen 1997   71  0.3273  0.0072  0.0379  0.0347  0.0677  0.04
Cortot 1951   77  0.2775  0.0079  0.0560  0.0550  0.0759  0.06
Csalog 1996   53  0.3743  0.0040  0.0642  0.1940  0.1634  0.17
Czerny 1949   19  0.507  0.039  0.128  0.5926  0.514  0.55
Czerny 1990   6  0.5519  0.017  0.183  0.6729  0.513  0.58
Duchoud 2007   83  0.2056  0.0084  0.0286  0.0274  0.0390  0.02
Ezaki 2006   26  0.4811  0.0245  0.0848  0.0865  0.0556  0.06
Falvay 1989   2  0.573  0.094  0.1310  0.5535  0.3711  0.45
Farrell 1958   68  0.3283  0.0057  0.0561  0.0570  0.0471  0.04
Ferenczy 1958   49  0.3947  0.0058  0.0555  0.0540  0.1550  0.09
Fliere 1977   4  0.566  0.045  0.144  0.6523  0.437  0.53
Fou 1978   17  0.5012  0.0220  0.0821  0.4540  0.1627  0.27
Francois 1956   75  0.2976  0.0075  0.0473  0.0463  0.0478  0.04
Friedman 1923   45  0.4228  0.0036  0.0636  0.2710  0.5417  0.38
Friedman 1923b   40  0.4336  0.0031  0.0827  0.355  0.5812  0.45
Friedman 1930   50  0.3831  0.0035  0.0640  0.2320  0.4224  0.31
Garcia 2007   82  0.2174  0.0082  0.0376  0.0348  0.0675  0.04
Garcia 2007b   54  0.3729  0.0048  0.0749  0.0750  0.0660  0.06
Gierzod 1998   5  0.5613  0.018  0.246  0.6335  0.2815  0.42
Gornostaeva 1994   28  0.4858  0.0022  0.0820  0.4532  0.2918  0.36
Groot 1988   41  0.4269  0.0028  0.0629  0.3435  0.1631  0.23
Harasiewicz 1955   9  0.529  0.0313  0.1317  0.4743  0.1628  0.27
Hatto 1993   27  0.4890  0.0029  0.0724  0.4051  0.0541  0.14
Hatto 1997   23  0.4866  0.0034  0.0628  0.3550  0.0543  0.13
Horowitz 1949   72  0.3284  0.0069  0.0380  0.0334  0.1855  0.07
Indjic 1988   15  0.5180  0.0023  0.0819  0.4544  0.1529  0.26
Kapell 1951   48  0.4046  0.0054  0.0846  0.0862  0.0558  0.06
Kissin 1993   47  0.4151  0.0061  0.0464  0.0458  0.0572  0.04
Kushner 1989   13  0.518  0.0311  0.1512  0.5444  0.1526  0.28
Luisada 1991   14  0.5110  0.0214  0.1315  0.5111  0.556  0.53
Lushtak 2004   37  0.4520  0.0133  0.0633  0.2950  0.0544  0.12
Malcuzynski 1961   69  0.3285  0.0071  0.0382  0.0374  0.0383  0.03
Magaloff 1978   16  0.5049  0.0017  0.1116  0.4724  0.3914  0.43
Magin 1975   3  0.575  0.083  0.192  0.715  0.642  0.67
Michalowski 1933   76  0.2857  0.0077  0.0468  0.0420  0.4042  0.13
Milkina 1970   12  0.5114  0.0112  0.1511  0.5446  0.0832  0.21
Mohovich 1999   42  0.4253  0.0052  0.0653  0.0671  0.0467  0.05
Moravec 1969   33  0.4686  0.0037  0.0835  0.2748  0.0937  0.16
Morozova 2008   67  0.3381  0.0055  0.0465  0.0456  0.0664  0.05
Neighaus 1950   60  0.3542  0.0049  0.0752  0.0717  0.4336  0.17
Niedzielski 1931   86  0.1677  0.0086  0.0384  0.0377  0.0382  0.03
Ohlsson 1999   66  0.3364  0.0060  0.0558  0.0550  0.0563  0.05
Osinska 1989   24  0.4834  0.0032  0.0631  0.2947  0.0739  0.14
Pachmann 1927   81  0.2287  0.0083  0.0288  0.0270  0.0388  0.02
Paderewski 1930   87  0.1637  0.0064  0.0471  0.0434  0.1752  0.08
Perlemuter 1992   73  0.3270  0.0076  0.0470  0.0455  0.0570  0.04
Pierdomenico 2008   78  0.2555  0.0081  0.0383  0.0369  0.0481  0.03
Poblocka 1999   10  0.5225  0.0019  0.0918  0.4636  0.2420  0.33
Rabcewiczowa 1932   55  0.3630  0.0030  0.0738  0.2450  0.0546  0.11
Rachmaninoff 1923   29  0.4815  0.0121  0.0722  0.4218  0.4713  0.44
Rangell 2001   74  0.3059  0.0078  0.0557  0.0566  0.0568  0.05
Richter 1976   34  0.4618  0.0127  0.0730  0.3233  0.2925  0.30
Rosen 1989   35  0.4526  0.0053  0.0750  0.0768  0.0466  0.05
Rosenthal 1930   46  0.4121  0.0042  0.0841  0.2219  0.4921  0.33
Rosenthal 1931   64  0.3354  0.0074  0.0469  0.0457  0.0573  0.04
Rosenthal 1931b   65  0.3362  0.0068  0.0375  0.0333  0.2254  0.08
Rosenthal 1931c   44  0.4224  0.0041  0.0734  0.2823  0.3723  0.32
Rosenthal 1931d   58  0.3571  0.0056  0.0466  0.0425  0.3545  0.12
Rossi 2007   85  0.2048  0.0087  0.0378  0.0379  0.0380  0.03
Rubinstein 1939   43  0.4244  0.0047  0.0751  0.0746  0.0657  0.06
Rubinstein 1952   18  0.5041  0.0024  0.0723  0.4151  0.0638  0.16
Rubinstein 1966   22  0.4916  0.0125  0.0926  0.3948  0.0735  0.17
Schilhawsky 1960   20  0.4923  0.0018  0.0725  0.3927  0.4016  0.39
Shebanova 2002   57  0.3567  0.0059  0.0562  0.0563  0.0474  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   70  0.3282  0.0065  0.0472  0.0472  0.0379  0.03
Sztompka 1959   51  0.3860  0.0050  0.0847  0.0844  0.1048  0.09
Tomsic 1995   79  0.2378  0.0070  0.0381  0.0383  0.0287  0.02
Uninsky 1932   61  0.3440  0.0063  0.0556  0.0539  0.1453  0.08
Uninsky 1971   36  0.4522  0.0044  0.0844  0.1658  0.0549  0.09
Wasowski 1980   25  0.4839  0.0015  0.1213  0.5221  0.448  0.48
Zak 1937   38  0.4438  0.0046  0.0654  0.0663  0.0462  0.05
Zak 1951   32  0.4750  0.0038  0.0737  0.2533  0.1733  0.21
Random 1   88  0.0161  0.0088  0.0287  0.0213  0.3951  0.09
Random 2   89  -0.0372  0.0090  0.0190  0.0178  0.0389  0.02
Random 3   90  -0.0565  0.0089  0.0189  0.0146  0.0784  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).