Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.4938  0.0054  0.1045  0.1078  0.0358  0.05
Anderszewski 2003   11  0.5518  0.0122  0.1514  0.5536  0.1517  0.29
Ashkenazy 1981   52  0.4439  0.0053  0.0846  0.0860  0.0448  0.06
Bacha 2000   15  0.5359  0.0020  0.1221  0.4220  0.4113  0.41
Badura 1965   76  0.3630  0.0076  0.0473  0.0476  0.0471  0.04
Barbosa 1983   43  0.4719  0.0114  0.0924  0.3840  0.1919  0.27
Biret 1990   18  0.5247  0.0029  0.0726  0.3766  0.0531  0.14
Blet 2003   59  0.4251  0.0068  0.0383  0.0386  0.0379  0.03
Block 1995   12  0.552  0.142  0.1718  0.4814  0.4410  0.46
Blumental 1952   47  0.4612  0.0227  0.0634  0.3164  0.0439  0.11
Boshniakovich 1969   27  0.5057  0.0039  0.0937  0.2375  0.0441  0.10
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   69  0.4086  0.0073  0.0476  0.0466  0.0472  0.04
Bunin 1987b   71  0.3989  0.0074  0.0653  0.0669  0.0452  0.05
Chiu 1999   44  0.4758  0.0033  0.0830  0.3450  0.0533  0.13
Cohen 1997   62  0.4128  0.0047  0.0652  0.0615  0.4326  0.16
Cortot 1951   72  0.3850  0.0071  0.0382  0.0383  0.0387  0.03
Csalog 1996   68  0.4070  0.0061  0.0563  0.0555  0.0557  0.05
Czerny 1949   67  0.4037  0.0070  0.0377  0.0382  0.0381  0.03
Czerny 1990   36  0.4963  0.0050  0.0556  0.0578  0.0373  0.04
Duchoud 2007   80  0.3288  0.0082  0.0471  0.0485  0.0382  0.03
Ezaki 2006   4  0.609  0.039  0.169  0.6243  0.1218  0.27
Falvay 1989   3  0.603  0.134  0.163  0.7019  0.464  0.57
Farrell 1958   38  0.4883  0.0049  0.0565  0.0561  0.0550  0.05
Ferenczy 1958   29  0.5016  0.0144  0.0544  0.1026  0.2924  0.17
Fliere 1977   5  0.608  0.036  0.121  0.7547  0.0720  0.23
Fou 1978   9  0.5711  0.0210  0.144  0.6843  0.1316  0.30
Francois 1956   61  0.4274  0.0067  0.0381  0.0380  0.0388  0.03
Friedman 1923   86  0.2385  0.0086  0.0386  0.0381  0.0489  0.03
Friedman 1923b   87  0.2382  0.0085  0.0387  0.0377  0.0485  0.03
Friedman 1930   84  0.2968  0.0081  0.0474  0.0477  0.0469  0.04
Garcia 2007   79  0.3260  0.0078  0.0380  0.0369  0.0483  0.03
Garcia 2007b   78  0.3256  0.0075  0.0469  0.0450  0.0574  0.04
Gierzod 1998   23  0.5121  0.0125  0.0923  0.3968  0.0437  0.12
Gornostaeva 1994   13  0.5577  0.0036  0.0731  0.3345  0.0535  0.13
Groot 1988   8  0.586  0.045  0.166  0.6831  0.3111  0.46
Harasiewicz 1955   20  0.5217  0.0115  0.0911  0.5761  0.0525  0.17
Hatto 1993   74  0.3784  0.0060  0.0467  0.0481  0.0386  0.03
Hatto 1997   65  0.4072  0.0058  0.0558  0.0572  0.0470  0.04
Horowitz 1949   24  0.514  0.1012  0.1412  0.5716  0.536  0.55
Indjic 1988   73  0.3778  0.0063  0.0559  0.0566  0.0556  0.05
Kapell 1951   51  0.4475  0.0056  0.0748  0.0765  0.0451  0.05
Kissin 1993   50  0.4541  0.0043  0.0543  0.1071  0.0447  0.06
Kushner 1989   19  0.5252  0.0037  0.0833  0.3171  0.0438  0.11
Luisada 1991   6  0.5914  0.028  0.168  0.6629  0.348  0.47
Lushtak 2004   28  0.507  0.0316  0.0922  0.3940  0.1421  0.23
Malcuzynski 1961   39  0.4834  0.0052  0.0747  0.0779  0.0353  0.05
Magaloff 1978   2  0.621  0.171  0.167  0.6721  0.397  0.51
Magin 1975   48  0.4676  0.0041  0.0641  0.1773  0.0444  0.08
Michalowski 1933   85  0.2779  0.0083  0.0566  0.0586  0.0367  0.04
Milkina 1970   10  0.5761  0.0021  0.1617  0.5145  0.0822  0.20
Mohovich 1999   1  0.635  0.103  0.182  0.7424  0.435  0.56
Moravec 1969   37  0.4824  0.0028  0.0738  0.2344  0.1027  0.15
Morozova 2008   40  0.4835  0.0034  0.0925  0.3870  0.0436  0.12
Neighaus 1950   42  0.4855  0.0051  0.0650  0.0667  0.0559  0.05
Niedzielski 1931   66  0.4027  0.0048  0.0555  0.0581  0.0363  0.04
Ohlsson 1999   34  0.4964  0.0045  0.0561  0.0574  0.0466  0.04
Osinska 1989   22  0.5149  0.0040  0.0640  0.2270  0.0442  0.09
Pachmann 1927   64  0.4171  0.0072  0.0384  0.0350  0.0665  0.04
Paderewski 1930   82  0.2966  0.0087  0.0475  0.0473  0.0377  0.03
Perlemuter 1992   53  0.4440  0.0057  0.0651  0.0678  0.0360  0.04
Pierdomenico 2008   81  0.3290  0.0077  0.0470  0.0475  0.0462  0.04
Poblocka 1999   17  0.5320  0.0123  0.0920  0.4470  0.0432  0.13
Rabcewiczowa 1932   63  0.4167  0.0069  0.0379  0.0382  0.0376  0.03
Rachmaninoff 1923   26  0.5126  0.0032  0.1028  0.3761  0.0528  0.14
Rangell 2001   60  0.4265  0.0042  0.0642  0.1369  0.0446  0.07
Richter 1976   56  0.4245  0.0059  0.0468  0.0450  0.0654  0.05
Rosen 1989   14  0.5432  0.0013  0.1019  0.4746  0.0823  0.19
Rosenthal 1930   45  0.4715  0.0226  0.0635  0.2925  0.3415  0.31
Rosenthal 1931   32  0.4954  0.0018  0.0816  0.528  0.653  0.58
Rosenthal 1931b   31  0.4943  0.0019  0.1215  0.527  0.662  0.59
Rosenthal 1931c   54  0.4431  0.0046  0.0557  0.0535  0.2540  0.11
Rosenthal 1931d   16  0.5322  0.0011  0.1310  0.577  0.681  0.62
Rossi 2007   83  0.2973  0.0084  0.0385  0.0376  0.0375  0.03
Rubinstein 1939   46  0.4610  0.0324  0.0732  0.3217  0.4014  0.36
Rubinstein 1952   21  0.5223  0.0017  0.0913  0.5623  0.399  0.47
Rubinstein 1966   25  0.5144  0.0035  0.0936  0.2348  0.0830  0.14
Schilhawsky 1960   70  0.3925  0.0065  0.0562  0.0577  0.0468  0.04
Shebanova 2002   35  0.4929  0.0038  0.0839  0.2280  0.0443  0.09
Smith 1975   7  0.5913  0.027  0.145  0.6825  0.2912  0.44
Sokolov 2002   55  0.4280  0.0064  0.0564  0.0578  0.0361  0.04
Sztompka 1959   75  0.3748  0.0080  0.0472  0.0487  0.0278  0.03
Tomsic 1995   49  0.4653  0.0055  0.0554  0.0574  0.0464  0.04
Uninsky 1932   77  0.3669  0.0079  0.0378  0.0383  0.0380  0.03
Uninsky 1971   57  0.4236  0.0066  0.0649  0.0665  0.0555  0.05
Wasowski 1980   58  0.4233  0.0062  0.0560  0.0560  0.0549  0.05
Zak 1937   33  0.4942  0.0030  0.0729  0.3662  0.0534  0.13
Zak 1951   41  0.4846  0.0031  0.1327  0.3761  0.0529  0.14
Random 1   90  -0.1287  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   88  -0.0462  0.0088  0.0289  0.0230  0.2345  0.07
Random 3   89  -0.0481  0.0089  0.0288  0.0249  0.0484  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).