Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   69  0.4677  0.0067  0.0379  0.0375  0.0387  0.03
Ashkenazy 1981   43  0.5548  0.0033  0.0937  0.2833  0.2838  0.28
Bacha 2000   62  0.4845  0.0066  0.0373  0.0331  0.3360  0.10
Badura 1965   24  0.6051  0.0020  0.0623  0.412  0.6314  0.51
Barbosa 1983   52  0.5256  0.0051  0.0646  0.0628  0.3248  0.14
Biret 1990   26  0.606  0.0519  0.0727  0.3620  0.3631  0.36
Blet 2003   20  0.6137  0.0034  0.0632  0.324  0.5625  0.42
Block 1995   72  0.4590  0.0068  0.0369  0.0359  0.0488  0.03
Blumental 1952   59  0.4959  0.0027  0.0743  0.1915  0.3340  0.25
Boshniakovich 1969   39  0.5641  0.0048  0.0551  0.0542  0.1568  0.09
Brailowsky 1960   58  0.4973  0.0080  0.0378  0.0345  0.1080  0.05
Bunin 1987   63  0.4881  0.0069  0.0383  0.0337  0.1876  0.07
Bunin 1987b   65  0.4768  0.0070  0.0468  0.0435  0.1965  0.09
Chiu 1999   49  0.5335  0.0049  0.0649  0.0624  0.3945  0.15
Cohen 1997   87  0.3153  0.0087  0.0459  0.0453  0.0586  0.04
Cortot 1951   66  0.4750  0.0072  0.0385  0.0329  0.2769  0.09
Csalog 1996   67  0.4743  0.0073  0.0382  0.0330  0.2966  0.09
Czerny 1949   7  0.668  0.044  0.174  0.598  0.622  0.60
Czerny 1990   6  0.6657  0.008  0.146  0.5512  0.587  0.56
Duchoud 2007   47  0.5333  0.0045  0.0647  0.069  0.4844  0.17
Ezaki 2006   1  0.701  0.221  0.221  0.703  0.661  0.68
Falvay 1989   36  0.5722  0.0152  0.0745  0.0732  0.2947  0.14
Farrell 1958   53  0.5225  0.0059  0.0461  0.0437  0.1673  0.08
Ferenczy 1958   44  0.5432  0.0047  0.0554  0.0516  0.4249  0.14
Fliere 1977   2  0.6627  0.0013  0.138  0.5427  0.4416  0.49
Fou 1978   19  0.6111  0.0225  0.0819  0.4824  0.3823  0.43
Francois 1956   18  0.6160  0.0028  0.0724  0.393  0.6515  0.50
Friedman 1923   79  0.4229  0.0065  0.0467  0.0412  0.4750  0.14
Friedman 1923b   76  0.4270  0.0063  0.0370  0.0313  0.4653  0.12
Friedman 1930   77  0.4283  0.0064  0.0464  0.0427  0.3158  0.11
Garcia 2007   85  0.3755  0.0077  0.0375  0.0357  0.0584  0.04
Garcia 2007b   86  0.3558  0.0076  0.0386  0.0332  0.1577  0.07
Gierzod 1998   8  0.642  0.202  0.213  0.593  0.583  0.58
Gornostaeva 1994   29  0.5928  0.0031  0.0625  0.3822  0.4526  0.41
Groot 1988   14  0.627  0.0424  0.1017  0.5011  0.4818  0.49
Harasiewicz 1955   37  0.5778  0.0022  0.0821  0.4627  0.3327  0.39
Hatto 1993   70  0.4647  0.0043  0.0740  0.2327  0.2042  0.21
Hatto 1997   50  0.5219  0.0118  0.0829  0.3617  0.3433  0.35
Horowitz 1949   60  0.4963  0.0062  0.0458  0.0428  0.4151  0.13
Indjic 1988   64  0.4867  0.0044  0.1142  0.2130  0.2043  0.20
Kapell 1951   41  0.5574  0.0046  0.0650  0.0640  0.1761  0.10
Kissin 1993   4  0.6621  0.019  0.1412  0.5215  0.5311  0.52
Kushner 1989   22  0.6076  0.0038  0.0738  0.2636  0.1941  0.22
Luisada 1991   28  0.5915  0.0114  0.1020  0.4717  0.4919  0.48
Lushtak 2004   54  0.5287  0.0057  0.0553  0.0566  0.0485  0.04
Malcuzynski 1961   21  0.6131  0.0036  0.0635  0.2821  0.3237  0.30
Magaloff 1978   45  0.5320  0.0142  0.0644  0.1454  0.0571  0.08
Magin 1975   48  0.5371  0.0032  0.0639  0.2527  0.2939  0.27
Michalowski 1933   78  0.4269  0.0058  0.0457  0.0419  0.3852  0.12
Milkina 1970   11  0.6312  0.0217  0.087  0.5413  0.4812  0.51
Mohovich 1999   13  0.6216  0.0116  0.0913  0.5212  0.589  0.55
Moravec 1969   46  0.5338  0.0053  0.0462  0.0424  0.3054  0.11
Morozova 2008   16  0.624  0.0611  0.1116  0.504  0.5313  0.51
Neighaus 1950   10  0.6314  0.017  0.1211  0.538  0.5310  0.53
Niedzielski 1931   61  0.4962  0.0071  0.0466  0.0429  0.3155  0.11
Ohlsson 1999   17  0.6134  0.0015  0.0918  0.4914  0.4422  0.46
Osinska 1989   30  0.5980  0.0037  0.0633  0.3233  0.3034  0.31
Pachmann 1927   71  0.4554  0.0081  0.0372  0.0329  0.3164  0.10
Paderewski 1930   68  0.4761  0.0074  0.0374  0.0343  0.0981  0.05
Perlemuter 1992   35  0.5784  0.0041  0.0941  0.2219  0.4036  0.30
Pierdomenico 2008   75  0.4452  0.0078  0.0380  0.0336  0.1972  0.08
Poblocka 1999   9  0.6417  0.0110  0.1114  0.5012  0.4720  0.48
Rabcewiczowa 1932   38  0.5742  0.0029  0.0722  0.449  0.4821  0.46
Rachmaninoff 1923   23  0.609  0.0312  0.1010  0.534  0.588  0.55
Rangell 2001   73  0.4549  0.0079  0.0460  0.0448  0.0682  0.05
Richter 1976   51  0.5239  0.0060  0.0463  0.0438  0.2363  0.10
Rosen 1989   12  0.635  0.055  0.159  0.547  0.586  0.56
Rosenthal 1930   57  0.5030  0.0055  0.0455  0.0413  0.5846  0.15
Rosenthal 1931   81  0.3985  0.0082  0.0376  0.0325  0.4156  0.11
Rosenthal 1931b   84  0.3775  0.0083  0.0384  0.0332  0.2870  0.09
Rosenthal 1931c   74  0.4472  0.0075  0.0371  0.0321  0.4159  0.11
Rosenthal 1931d   82  0.3940  0.0084  0.0381  0.0334  0.2074  0.08
Rossi 2007   83  0.3866  0.0085  0.0287  0.0238  0.1678  0.06
Rubinstein 1939   80  0.3936  0.0086  0.0377  0.0345  0.0683  0.04
Rubinstein 1952   56  0.5013  0.0154  0.0552  0.0543  0.1475  0.08
Rubinstein 1966   40  0.5626  0.0050  0.0648  0.0638  0.2257  0.11
Schilhawsky 1960   34  0.5864  0.0040  0.0936  0.2825  0.4432  0.35
Shebanova 2002   15  0.6246  0.0023  0.0815  0.5018  0.4817  0.49
Smith 1975   32  0.5924  0.0039  0.0730  0.3324  0.2935  0.31
Sokolov 2002   25  0.6023  0.0135  0.0734  0.3213  0.4428  0.38
Sztompka 1959   3  0.6618  0.016  0.145  0.583  0.564  0.57
Tomsic 1995   42  0.5582  0.0056  0.0456  0.0430  0.2662  0.10
Uninsky 1932   33  0.5944  0.0030  0.0628  0.367  0.5224  0.43
Uninsky 1971   5  0.663  0.103  0.172  0.605  0.555  0.57
Wasowski 1980   55  0.5188  0.0061  0.0465  0.0450  0.0679  0.05
Zak 1937   31  0.5965  0.0026  0.0731  0.3221  0.4030  0.36
Zak 1951   27  0.5910  0.0221  0.0726  0.3824  0.3929  0.38
Random 1   90  -0.1089  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   88  -0.0286  0.0088  0.0288  0.0214  0.3967  0.09
Random 3   89  -0.0679  0.0089  0.0289  0.0267  0.0389  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).