Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.7562  0.0036  0.0731  0.272  0.7131  0.44
Anderszewski 2003   65  0.6313  0.0129  0.0537  0.201  0.6443  0.36
Ashkenazy 1981   10  0.783  0.113  0.201  0.711  0.842  0.77
Bacha 2000   69  0.5986  0.0080  0.0555  0.053  0.6159  0.17
Badura 1965   70  0.5865  0.0057  0.0467  0.041  0.6870  0.16
Barbosa 1983   64  0.6379  0.0041  0.0542  0.181  0.7342  0.36
Biret 1990   36  0.7173  0.0051  0.0647  0.062  0.7448  0.21
Blet 2003   28  0.7216  0.0139  0.0432  0.251  0.7532  0.43
Block 1995   54  0.6529  0.0059  0.0462  0.043  0.6962  0.17
Blumental 1952   77  0.5225  0.0066  0.0554  0.051  0.6257  0.18
Boshniakovich 1969   39  0.7022  0.0052  0.0464  0.041  0.7958  0.18
Brailowsky 1960   51  0.6777  0.0073  0.0646  0.061  0.6550  0.20
Bunin 1987   19  0.7527  0.0034  0.0727  0.292  0.7029  0.45
Bunin 1987b   18  0.7512  0.0133  0.0626  0.302  0.7028  0.46
Chiu 1999   59  0.6455  0.0043  0.0738  0.191  0.7937  0.39
Cohen 1997   82  0.4548  0.0081  0.0384  0.038  0.5083  0.12
Cortot 1951   61  0.6341  0.0064  0.0471  0.042  0.6472  0.16
Csalog 1996   73  0.5549  0.0082  0.0386  0.0319  0.4582  0.12
Czerny 1949   46  0.6887  0.0042  0.0745  0.162  0.7645  0.35
Czerny 1990   12  0.7850  0.0015  0.0814  0.401  0.7616  0.55
Duchoud 2007   23  0.7366  0.0031  0.0521  0.331  0.7720  0.50
Ezaki 2006   5  0.806  0.068  0.1710  0.511  0.7610  0.62
Falvay 1989   21  0.7420  0.0118  0.0917  0.361  0.7518  0.52
Farrell 1958   53  0.6560  0.0069  0.0379  0.032  0.7076  0.14
Ferenczy 1958   67  0.5972  0.0075  0.0476  0.0411  0.4877  0.14
Fliere 1977   2  0.8321  0.016  0.135  0.591  0.874  0.72
Fou 1978   37  0.7115  0.0119  0.1020  0.332  0.6326  0.46
Francois 1956   24  0.7331  0.0014  0.0919  0.342  0.7321  0.50
Friedman 1923   86  0.3275  0.0085  0.0378  0.038  0.4985  0.12
Friedman 1923b   85  0.3324  0.0084  0.0380  0.036  0.5381  0.13
Friedman 1930   81  0.4845  0.0062  0.0553  0.053  0.6555  0.18
Garcia 2007   84  0.4070  0.0083  0.0385  0.038  0.6378  0.14
Garcia 2007b   87  0.3284  0.0086  0.0288  0.028  0.5187  0.10
Gierzod 1998   34  0.7137  0.0026  0.0535  0.231  0.7434  0.41
Gornostaeva 1994   13  0.788  0.0317  0.0715  0.401  0.7715  0.55
Groot 1988   4  0.8010  0.0111  0.1212  0.441  0.7912  0.59
Harasiewicz 1955   48  0.682  0.152  0.194  0.591  0.765  0.67
Hatto 1993   75  0.5438  0.0045  0.0943  0.184  0.7541  0.37
Hatto 1997   68  0.5930  0.0027  0.0725  0.313  0.7623  0.49
Horowitz 1949   44  0.6935  0.0054  0.0559  0.052  0.7252  0.19
Indjic 1988   74  0.5564  0.0044  0.0640  0.194  0.7539  0.38
Kapell 1951   15  0.7678  0.0028  0.0528  0.291  0.7327  0.46
Kissin 1993   25  0.7361  0.0037  0.0634  0.233  0.6935  0.40
Kushner 1989   8  0.7839  0.0021  0.0629  0.282  0.8024  0.47
Luisada 1991   33  0.7128  0.0030  0.0541  0.191  0.7440  0.37
Lushtak 2004   31  0.7218  0.0110  0.129  0.511  0.819  0.64
Malcuzynski 1961   1  0.854  0.094  0.203  0.661  0.813  0.73
Magaloff 1978   6  0.805  0.085  0.147  0.531  0.778  0.64
Magin 1975   56  0.6463  0.0055  0.0463  0.045  0.5774  0.15
Michalowski 1933   80  0.5159  0.0060  0.0460  0.041  0.6767  0.16
Milkina 1970   40  0.7068  0.0053  0.0466  0.042  0.6465  0.16
Mohovich 1999   14  0.7774  0.0023  0.0516  0.381  0.7914  0.55
Moravec 1969   42  0.6944  0.0047  0.0552  0.051  0.6951  0.19
Morozova 2008   26  0.7214  0.0113  0.118  0.531  0.817  0.66
Neighaus 1950   3  0.811  0.221  0.222  0.711  0.891  0.79
Niedzielski 1931   72  0.5636  0.0076  0.0475  0.043  0.5873  0.15
Ohlsson 1999   7  0.799  0.0212  0.1111  0.471  0.8111  0.62
Osinska 1989   27  0.7252  0.0050  0.0551  0.051  0.8049  0.20
Pachmann 1927   71  0.5680  0.0074  0.0550  0.054  0.6554  0.18
Paderewski 1930   47  0.6846  0.0065  0.0473  0.041  0.6666  0.16
Perlemuter 1992   41  0.6934  0.0035  0.0630  0.271  0.7230  0.44
Pierdomenico 2008   66  0.6254  0.0070  0.0381  0.032  0.6675  0.14
Poblocka 1999   17  0.767  0.059  0.1413  0.421  0.7213  0.55
Rabcewiczowa 1932   62  0.6376  0.0071  0.0470  0.042  0.7360  0.17
Rachmaninoff 1923   58  0.6469  0.0032  0.0533  0.252  0.7033  0.42
Rangell 2001   43  0.6926  0.0056  0.0468  0.041  0.6771  0.16
Richter 1976   50  0.6751  0.0063  0.0558  0.052  0.5761  0.17
Rosen 1989   22  0.7419  0.0116  0.0718  0.351  0.8017  0.53
Rosenthal 1930   57  0.6481  0.0072  0.0557  0.055  0.6953  0.19
Rosenthal 1931   78  0.5188  0.0079  0.0474  0.045  0.6568  0.16
Rosenthal 1931b   79  0.5185  0.0078  0.0382  0.035  0.6580  0.14
Rosenthal 1931c   55  0.6553  0.0067  0.0469  0.045  0.7363  0.17
Rosenthal 1931d   76  0.5482  0.0077  0.0383  0.035  0.6379  0.14
Rossi 2007   88  0.3289  0.0087  0.0387  0.0322  0.2988  0.09
Rubinstein 1939   83  0.4133  0.0088  0.0472  0.0427  0.3186  0.11
Rubinstein 1952   63  0.6371  0.0068  0.0377  0.0316  0.4684  0.12
Rubinstein 1966   45  0.6840  0.0061  0.0465  0.044  0.6769  0.16
Schilhawsky 1960   49  0.6811  0.0138  0.0544  0.171  0.7344  0.35
Shebanova 2002   30  0.7217  0.0146  0.0649  0.062  0.7447  0.21
Smith 1975   11  0.7847  0.007  0.186  0.551  0.806  0.66
Sokolov 2002   9  0.7857  0.0020  0.0622  0.321  0.7622  0.49
Sztompka 1959   32  0.7123  0.0049  0.0648  0.061  0.7146  0.21
Tomsic 1995   16  0.7643  0.0024  0.0624  0.311  0.7225  0.47
Uninsky 1932   52  0.6642  0.0048  0.0556  0.052  0.6556  0.18
Uninsky 1971   29  0.7232  0.0022  0.0536  0.222  0.7236  0.40
Wasowski 1980   60  0.6467  0.0058  0.0461  0.041  0.6864  0.16
Zak 1937   38  0.7056  0.0040  0.0539  0.192  0.8038  0.39
Zak 1951   35  0.7158  0.0025  0.0623  0.312  0.8119  0.50
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   91  -0.0490  0.0091  0.0191  0.0179  0.0390  0.02
Random 2   90  -0.0391  0.0089  0.0289  0.0269  0.0389  0.02
Random 3   89  0.0283  0.0090  0.0190  0.0171  0.0391  0.02

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).