Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6663  0.0018  0.1516  0.5313  0.5218  0.52
Anderszewski 2003   58  0.4880  0.0063  0.0562  0.0567  0.0379  0.04
Ashkenazy 1981   15  0.644  0.0411  0.1313  0.597  0.6212  0.60
Bacha 2000   72  0.4278  0.0070  0.0559  0.0551  0.0669  0.05
Badura 1965   45  0.5454  0.0044  0.0545  0.116  0.5836  0.25
Barbosa 1983   67  0.4530  0.0066  0.0657  0.0663  0.0574  0.05
Biret 1990   54  0.4985  0.0062  0.0656  0.0664  0.0576  0.05
Blet 2003   42  0.5456  0.0058  0.0749  0.0725  0.2851  0.14
Block 1995   38  0.5657  0.0045  0.0643  0.1119  0.3841  0.20
Blumental 1952   63  0.4571  0.0057  0.0747  0.0749  0.0566  0.06
Boshniakovich 1969   10  0.655  0.0210  0.1217  0.5110  0.6015  0.55
Brailowsky 1960   64  0.4551  0.0075  0.0472  0.0444  0.1064  0.06
Bunin 1987   75  0.4052  0.0086  0.0384  0.0365  0.0487  0.03
Bunin 1987b   77  0.3976  0.0087  0.0473  0.0462  0.0477  0.04
Chiu 1999   57  0.4826  0.0051  0.0570  0.0533  0.2955  0.12
Cohen 1997   86  0.3186  0.0076  0.0382  0.0347  0.0681  0.04
Cortot 1951   71  0.4377  0.0077  0.0381  0.0370  0.0488  0.03
Csalog 1996   56  0.498  0.0131  0.0644  0.1110  0.5935  0.25
Czerny 1949   50  0.5382  0.0037  0.0537  0.1845  0.1249  0.15
Czerny 1990   5  0.6816  0.009  0.1314  0.589  0.6511  0.61
Duchoud 2007   69  0.4431  0.0068  0.0568  0.0549  0.0675  0.05
Ezaki 2006   12  0.6419  0.0024  0.1323  0.4523  0.4125  0.43
Falvay 1989   20  0.6332  0.0028  0.0830  0.2823  0.4228  0.34
Farrell 1958   60  0.4773  0.0065  0.0560  0.0549  0.0672  0.05
Ferenczy 1958   78  0.3962  0.0088  0.0475  0.0488  0.0284  0.03
Fliere 1977   4  0.6837  0.005  0.124  0.706  0.635  0.66
Fou 1978   3  0.703  0.103  0.343  0.742  0.732  0.73
Francois 1956   53  0.5170  0.0059  0.0650  0.0635  0.2558  0.12
Friedman 1923   88  0.2866  0.0085  0.0286  0.0278  0.0490  0.03
Friedman 1923b   87  0.2887  0.0084  0.0378  0.0368  0.0582  0.04
Friedman 1930   84  0.3341  0.0083  0.0376  0.0371  0.0483  0.03
Garcia 2007   82  0.3674  0.0079  0.0385  0.0364  0.0486  0.03
Garcia 2007b   85  0.3381  0.0080  0.0383  0.0358  0.0489  0.03
Gierzod 1998   16  0.649  0.014  0.1215  0.547  0.5516  0.54
Gornostaeva 1994   34  0.5747  0.0036  0.0634  0.2128  0.3433  0.27
Groot 1988   39  0.5588  0.0049  0.0654  0.0633  0.3052  0.13
Harasiewicz 1955   23  0.6211  0.018  0.1212  0.6018  0.4617  0.53
Hatto 1993   65  0.4548  0.0030  0.0933  0.2622  0.2437  0.25
Hatto 1997   68  0.4527  0.0032  0.0738  0.1860  0.0562  0.09
Horowitz 1949   52  0.5246  0.0054  0.0653  0.0616  0.5443  0.18
Indjic 1988   61  0.4628  0.0026  0.0931  0.2723  0.2534  0.26
Kapell 1951   48  0.5334  0.0060  0.0748  0.0783  0.0373  0.05
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   6  0.676  0.0212  0.1310  0.637  0.6210  0.62
Luisada 1991   24  0.6160  0.0019  0.1322  0.459  0.5620  0.50
Lushtak 2004   32  0.5836  0.0035  0.0632  0.2630  0.3531  0.30
Malcuzynski 1961   11  0.6512  0.0117  0.1311  0.626  0.649  0.63
Magaloff 1978   22  0.6222  0.0021  0.0920  0.485  0.5419  0.51
Magin 1975   8  0.667  0.026  0.139  0.633  0.687  0.65
Michalowski 1933   83  0.3691  0.0078  0.0380  0.0351  0.0678  0.04
Milkina 1970   7  0.6721  0.007  0.107  0.667  0.638  0.64
Mohovich 1999   37  0.5689  0.0047  0.0558  0.0538  0.2559  0.11
Moravec 1969   40  0.5555  0.0040  0.0741  0.1511  0.4932  0.27
Morozova 2008   25  0.6167  0.0023  0.1121  0.4713  0.4424  0.45
Neighaus 1950   28  0.6058  0.0022  0.1218  0.4919  0.4323  0.46
Niedzielski 1931   62  0.4650  0.0061  0.0651  0.0623  0.3847  0.15
Ohlsson 1999   35  0.5717  0.0025  0.1224  0.4220  0.4326  0.42
Osinska 1989   27  0.6040  0.0033  0.0729  0.3233  0.3330  0.32
Pachmann 1927   55  0.4938  0.0064  0.0567  0.0512  0.5046  0.16
Paderewski 1930   47  0.5329  0.0055  0.0746  0.0714  0.3348  0.15
Perlemuter 1992   31  0.5849  0.0043  0.0542  0.1316  0.4438  0.24
Pierdomenico 2008   49  0.5365  0.0046  0.0566  0.056  0.5345  0.16
Poblocka 1999   18  0.6324  0.0029  0.0927  0.3718  0.4127  0.39
Rabcewiczowa 1932   70  0.4483  0.0071  0.0471  0.0453  0.0671  0.05
Rachmaninoff 1923   59  0.4759  0.0050  0.0564  0.0554  0.0570  0.05
Rangell 2001   46  0.5433  0.0048  0.0561  0.059  0.4750  0.15
Richter 1976   19  0.6313  0.0116  0.1225  0.404  0.6221  0.50
Rosen 1989   29  0.6072  0.0034  0.1128  0.3428  0.3229  0.33
Rosenthal 1930   73  0.4279  0.0073  0.0377  0.0351  0.0680  0.04
Rosenthal 1931   79  0.3964  0.0072  0.0379  0.0331  0.3461  0.10
Rosenthal 1931b   81  0.3742  0.0082  0.0287  0.0237  0.2168  0.06
Rosenthal 1931c   66  0.4520  0.0067  0.0569  0.0533  0.3353  0.13
Rosenthal 1931d   80  0.3969  0.0081  0.0288  0.0240  0.1767  0.06
Rossi 2007   74  0.4084  0.0074  0.0474  0.0421  0.3654  0.12
Rubinstein 1939   76  0.4039  0.0069  0.0563  0.0530  0.2856  0.12
Rubinstein 1952   17  0.6410  0.0115  0.115  0.673  0.753  0.71
Rubinstein 1966   26  0.6044  0.0020  0.0919  0.489  0.6314  0.55
Schilhawsky 1960   44  0.5453  0.0038  0.0736  0.1834  0.3040  0.23
Shebanova 2002   2  0.742  0.282  0.512  0.832  0.821  0.82
Smith 1975   33  0.5861  0.0042  0.0640  0.1539  0.1844  0.16
Sokolov 2002   36  0.5714  0.0141  0.0639  0.1737  0.2042  0.18
Sztompka 1959   30  0.6045  0.0039  0.0635  0.2026  0.2839  0.24
Tomsic 1995   21  0.6225  0.0027  0.0826  0.387  0.6122  0.48
Uninsky 1932   43  0.5423  0.0052  0.0655  0.0630  0.2657  0.12
Uninsky 1971   41  0.5535  0.0056  0.0652  0.0654  0.0665  0.06
Wasowski 1980   51  0.5343  0.0053  0.0565  0.0533  0.1960  0.10
Zak 1937   13  0.6415  0.0113  0.118  0.663  0.704  0.68
Zak 1951   14  0.6418  0.0014  0.206  0.674  0.656  0.66
Average   1  0.771  0.391  0.391  0.8329  0.3913  0.57
Random 1   89  -0.0475  0.0089  0.0289  0.0221  0.2963  0.08
Random 2   90  -0.0568  0.0090  0.0290  0.0246  0.0585  0.03
Random 3   91  -0.0690  0.0091  0.0191  0.0176  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).