Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5938  0.0024  0.1318  0.4921  0.4718  0.48
Anderszewski 2003   13  0.6157  0.009  0.1922  0.4616  0.4721  0.46
Ashkenazy 1981   4  0.6518  0.006  0.164  0.6310  0.556  0.59
Bacha 2000   55  0.4911  0.0133  0.0641  0.2212  0.5231  0.34
Badura 1965   71  0.4377  0.0071  0.0468  0.0451  0.0668  0.05
Barbosa 1983   37  0.5429  0.0031  0.0735  0.3118  0.4329  0.37
Biret 1990   25  0.5828  0.0026  0.0819  0.4819  0.4023  0.44
Blet 2003   11  0.6125  0.0021  0.0912  0.533  0.675  0.60
Block 1995   52  0.5064  0.0044  0.0744  0.1422  0.3440  0.22
Blumental 1952   40  0.538  0.0141  0.0939  0.2321  0.2939  0.26
Boshniakovich 1969   31  0.5730  0.0038  0.0737  0.2629  0.2936  0.27
Brailowsky 1960   17  0.5913  0.0122  0.0930  0.349  0.6619  0.47
Bunin 1987   67  0.4542  0.0079  0.0560  0.0553  0.0570  0.05
Bunin 1987b   68  0.4466  0.0080  0.0565  0.0557  0.0563  0.05
Chiu 1999   33  0.5632  0.0029  0.0729  0.3710  0.5422  0.45
Cohen 1997   82  0.3773  0.0082  0.0475  0.0445  0.0769  0.05
Cortot 1951   84  0.3552  0.0088  0.0471  0.0487  0.0388  0.03
Csalog 1996   86  0.3526  0.0067  0.0654  0.0635  0.2351  0.12
Czerny 1949   64  0.4687  0.0066  0.0563  0.0564  0.0480  0.04
Czerny 1990   26  0.5880  0.0036  0.0928  0.3754  0.0645  0.15
Duchoud 2007   63  0.4669  0.0061  0.0477  0.0447  0.0767  0.05
Ezaki 2006   7  0.6270  0.0020  0.1032  0.3136  0.2335  0.27
Falvay 1989   36  0.5515  0.0028  0.1034  0.3127  0.3732  0.34
Farrell 1958   57  0.4884  0.0070  0.0467  0.0463  0.0575  0.04
Ferenczy 1958   62  0.4622  0.0054  0.0564  0.0539  0.1754  0.09
Fliere 1977   2  0.675  0.025  0.172  0.7313  0.571  0.65
Fou 1978   15  0.6059  0.0019  0.1011  0.5417  0.4514  0.49
Francois 1956   69  0.4461  0.0064  0.0470  0.0452  0.0482  0.04
Friedman 1923   78  0.3954  0.0075  0.0382  0.0337  0.1658  0.07
Friedman 1923b   76  0.4062  0.0073  0.0379  0.0340  0.1361  0.06
Friedman 1930   75  0.4123  0.0062  0.0474  0.0473  0.0479  0.04
Garcia 2007   74  0.4183  0.0076  0.0381  0.0340  0.1556  0.07
Garcia 2007b   54  0.4927  0.0039  0.0840  0.225  0.5630  0.35
Gierzod 1998   30  0.5716  0.0015  0.1020  0.4834  0.3625  0.42
Gornostaeva 1994   32  0.5649  0.0042  0.0838  0.2431  0.3037  0.27
Groot 1988   43  0.5221  0.0049  0.0846  0.0852  0.0562  0.06
Harasiewicz 1955   34  0.5675  0.0037  0.0933  0.3146  0.0746  0.15
Hatto 1993   12  0.614  0.043  0.175  0.625  0.633  0.62
Hatto 1997   8  0.6140  0.008  0.188  0.599  0.478  0.53
Horowitz 1949   53  0.5036  0.0055  0.0559  0.0520  0.5144  0.16
Indjic 1988   6  0.629  0.014  0.173  0.655  0.652  0.65
Kapell 1951   46  0.5150  0.0050  0.0847  0.0875  0.0460  0.06
Kissin 1993   9  0.6158  0.0013  0.109  0.5622  0.4512  0.50
Kushner 1989   14  0.6114  0.0125  0.0817  0.5024  0.3426  0.41
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   41  0.5331  0.0046  0.0651  0.0640  0.1455  0.09
Malcuzynski 1961   60  0.4660  0.0060  0.0472  0.0484  0.0383  0.03
Magaloff 1978   39  0.5445  0.0043  0.0743  0.1744  0.1247  0.14
Magin 1975   3  0.662  0.102  0.216  0.616  0.594  0.60
Michalowski 1933   70  0.4333  0.0053  0.0655  0.0634  0.2949  0.13
Milkina 1970   18  0.5910  0.0110  0.167  0.6012  0.537  0.56
Mohovich 1999   22  0.5935  0.0032  0.0726  0.3928  0.3828  0.38
Moravec 1969   65  0.4543  0.0058  0.0561  0.0535  0.1953  0.10
Morozova 2008   5  0.646  0.017  0.1824  0.4418  0.3727  0.40
Neighaus 1950   38  0.5434  0.0040  0.0836  0.2841  0.1441  0.20
Niedzielski 1931   61  0.4655  0.0052  0.0653  0.0620  0.4243  0.16
Ohlsson 1999   21  0.5974  0.0017  0.0914  0.5319  0.4317  0.48
Osinska 1989   35  0.5544  0.0035  0.0831  0.3441  0.2038  0.26
Pachmann 1927   81  0.3781  0.0083  0.0386  0.0370  0.0484  0.03
Paderewski 1930   77  0.3976  0.0078  0.0469  0.0447  0.0577  0.04
Perlemuter 1992   42  0.5356  0.0051  0.0848  0.0839  0.1850  0.12
Pierdomenico 2008   72  0.4382  0.0072  0.0378  0.0355  0.0673  0.04
Poblocka 1999   29  0.5819  0.0034  0.0727  0.3830  0.2833  0.33
Rabcewiczowa 1932   66  0.4586  0.0063  0.0473  0.0455  0.0574  0.04
Rachmaninoff 1923   45  0.5224  0.0045  0.0645  0.1242  0.1052  0.11
Rangell 2001   73  0.4367  0.0069  0.0557  0.0562  0.0571  0.05
Richter 1976   59  0.4791  0.0074  0.0383  0.0363  0.0576  0.04
Rosen 1989   20  0.5947  0.0018  0.0810  0.5514  0.4811  0.51
Rosenthal 1930   83  0.3646  0.0087  0.0384  0.0371  0.0386  0.03
Rosenthal 1931   87  0.3585  0.0086  0.0385  0.0371  0.0385  0.03
Rosenthal 1931b   88  0.3468  0.0085  0.0288  0.0247  0.0689  0.03
Rosenthal 1931c   85  0.3579  0.0084  0.0287  0.0257  0.0490  0.03
Rosenthal 1931d   79  0.3848  0.0081  0.0476  0.0444  0.1257  0.07
Rossi 2007   80  0.3888  0.0077  0.0380  0.0353  0.0572  0.04
Rubinstein 1939   49  0.5151  0.0057  0.0650  0.0611  0.4642  0.17
Rubinstein 1952   48  0.5117  0.0027  0.0742  0.2225  0.3734  0.29
Rubinstein 1966   24  0.5853  0.0030  0.0725  0.4322  0.4424  0.43
Schilhawsky 1960   56  0.4963  0.0065  0.0562  0.0563  0.0478  0.04
Shebanova 2002   16  0.603  0.0411  0.1913  0.5316  0.5010  0.51
Smith 1975   10  0.6120  0.0016  0.0821  0.4815  0.4520  0.46
Sokolov 2002   47  0.5139  0.0047  0.0656  0.0653  0.0659  0.06
Sztompka 1959   44  0.5290  0.0056  0.0558  0.0568  0.0564  0.05
Tomsic 1995   51  0.5078  0.0048  0.0749  0.0732  0.2648  0.13
Uninsky 1932   50  0.5012  0.0159  0.0566  0.0553  0.0666  0.05
Uninsky 1971   58  0.4737  0.0068  0.0652  0.0672  0.0465  0.05
Wasowski 1980   27  0.587  0.0112  0.1123  0.455  0.5313  0.49
Zak 1937   23  0.5965  0.0023  0.0816  0.5119  0.4515  0.48
Zak 1951   28  0.5841  0.0014  0.0915  0.5321  0.4316  0.48
Average   1  0.751  0.621  0.611  0.8638  0.309  0.51
Random 1   91  -0.0471  0.0091  0.0191  0.0165  0.0391  0.02
Random 2   90  -0.0489  0.0089  0.0289  0.0245  0.0881  0.04
Random 3   89  -0.0372  0.0090  0.0290  0.0255  0.0487  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).