Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.662  0.116  0.223  0.565  0.584  0.57
Anderszewski 2003   43  0.5257  0.0036  0.0538  0.1322  0.3937  0.23
Ashkenazy 1981   7  0.657  0.039  0.164  0.5611  0.548  0.55
Bacha 2000   77  0.3985  0.0078  0.0566  0.0582  0.0375  0.04
Badura 1965   47  0.5145  0.0047  0.0651  0.0618  0.4046  0.15
Barbosa 1983   73  0.4527  0.0060  0.0656  0.0659  0.0573  0.05
Biret 1990   46  0.5167  0.0059  0.0748  0.0759  0.0566  0.06
Blet 2003   34  0.5619  0.0140  0.0635  0.168  0.4933  0.28
Block 1995   61  0.4917  0.0129  0.0733  0.1719  0.3734  0.25
Blumental 1952   50  0.519  0.0311  0.1130  0.266  0.4425  0.34
Boshniakovich 1969   30  0.5687  0.0045  0.0474  0.0440  0.1759  0.08
Brailowsky 1960   80  0.3766  0.0084  0.0287  0.0272  0.0481  0.03
Bunin 1987   54  0.5043  0.0057  0.0747  0.0723  0.3447  0.15
Bunin 1987b   58  0.5070  0.0058  0.0749  0.0726  0.3245  0.15
Chiu 1999   76  0.4453  0.0073  0.0479  0.0459  0.0476  0.04
Cohen 1997   86  0.2949  0.0086  0.0381  0.0377  0.0486  0.03
Cortot 1951   16  0.6050  0.0010  0.1213  0.452  0.735  0.57
Csalog 1996   83  0.3373  0.0081  0.0384  0.0386  0.0385  0.03
Czerny 1949   6  0.6612  0.025  0.165  0.5510  0.603  0.57
Czerny 1990   1  0.721  0.341  0.331  0.743  0.741  0.74
Duchoud 2007   49  0.5169  0.0051  0.0562  0.0521  0.4049  0.14
Ezaki 2006   24  0.5856  0.0043  0.0541  0.1154  0.0656  0.08
Falvay 1989   74  0.4526  0.0077  0.0569  0.0565  0.0568  0.05
Farrell 1958   35  0.5648  0.0042  0.0536  0.155  0.5131  0.28
Ferenczy 1958   45  0.5255  0.0035  0.0542  0.109  0.4640  0.21
Fliere 1977   3  0.6722  0.0112  0.1211  0.4931  0.3915  0.44
Fou 1978   40  0.5337  0.0050  0.0570  0.0560  0.0569  0.05
Francois 1956   36  0.5551  0.0039  0.0539  0.1315  0.5035  0.25
Friedman 1923   59  0.5088  0.0038  0.0537  0.146  0.5930  0.29
Friedman 1923b   57  0.5034  0.0032  0.0732  0.196  0.6126  0.34
Friedman 1930   39  0.5330  0.0030  0.0629  0.268  0.5323  0.37
Garcia 2007   72  0.4676  0.0053  0.0653  0.066  0.6141  0.19
Garcia 2007b   71  0.4689  0.0041  0.0544  0.096  0.5638  0.22
Gierzod 1998   14  0.6161  0.0013  0.1012  0.4718  0.4814  0.47
Gornostaeva 1994   31  0.5638  0.0034  0.0640  0.1337  0.1848  0.15
Groot 1988   42  0.525  0.0333  0.0634  0.1748  0.0653  0.10
Harasiewicz 1955   25  0.5852  0.0017  0.0816  0.4029  0.2828  0.33
Hatto 1993   70  0.4662  0.0056  0.0945  0.0958  0.0662  0.07
Hatto 1997   64  0.4881  0.0054  0.0561  0.0536  0.1655  0.09
Horowitz 1949   68  0.4740  0.0074  0.0568  0.0546  0.0671  0.05
Indjic 1988   66  0.4782  0.0055  0.0655  0.0667  0.0572  0.05
Kapell 1951   9  0.644  0.083  0.218  0.534  0.5410  0.53
Kissin 1993   19  0.6010  0.0225  0.0825  0.2834  0.2036  0.24
Kushner 1989   10  0.6315  0.0121  0.0920  0.3718  0.4420  0.40
Luisada 1991   44  0.5278  0.0061  0.0567  0.0557  0.0567  0.05
Lushtak 2004   38  0.5468  0.0046  0.0563  0.0545  0.0764  0.06
Malcuzynski 1961   21  0.598  0.0327  0.0926  0.2823  0.3229  0.30
Magaloff 1978   52  0.5128  0.0066  0.0475  0.0471  0.0477  0.04
Magin 1975   55  0.5042  0.0065  0.0478  0.0462  0.0478  0.04
Michalowski 1933   27  0.5763  0.0014  0.1414  0.452  0.6311  0.53
Milkina 1970   51  0.5144  0.0063  0.0571  0.0555  0.0670  0.05
Mohovich 1999   41  0.5318  0.0152  0.0658  0.0648  0.0765  0.06
Moravec 1969   60  0.4936  0.0062  0.0564  0.0532  0.2152  0.10
Morozova 2008   15  0.616  0.0316  0.0915  0.4311  0.4416  0.43
Neighaus 1950   4  0.6711  0.028  0.186  0.543  0.596  0.56
Niedzielski 1931   56  0.5016  0.0149  0.0565  0.0512  0.4943  0.16
Ohlsson 1999   17  0.6013  0.0226  0.0927  0.2730  0.3032  0.28
Osinska 1989   26  0.5883  0.0037  0.0531  0.2036  0.2239  0.21
Pachmann 1927   81  0.3632  0.0085  0.0286  0.0265  0.0483  0.03
Paderewski 1930   29  0.5725  0.0019  0.0824  0.312  0.5717  0.42
Perlemuter 1992   20  0.6046  0.0023  0.0818  0.385  0.5813  0.47
Pierdomenico 2008   69  0.4660  0.0072  0.0477  0.0438  0.1757  0.08
Poblocka 1999   2  0.6765  0.004  0.147  0.534  0.539  0.53
Rabcewiczowa 1932   13  0.6121  0.0115  0.169  0.533  0.587  0.55
Rachmaninoff 1923   37  0.5429  0.0028  0.0921  0.3117  0.4422  0.37
Rangell 2001   67  0.4741  0.0071  0.0476  0.0439  0.1461  0.07
Richter 1976   33  0.5633  0.0048  0.0654  0.0619  0.4144  0.16
Rosen 1989   28  0.5772  0.0044  0.0543  0.0941  0.1351  0.11
Rosenthal 1930   63  0.4854  0.0069  0.0652  0.0619  0.4742  0.17
Rosenthal 1931   84  0.3184  0.0080  0.0382  0.0363  0.0484  0.03
Rosenthal 1931b   85  0.2980  0.0083  0.0385  0.0381  0.0290  0.02
Rosenthal 1931c   75  0.4474  0.0075  0.0650  0.0640  0.1854  0.10
Rosenthal 1931d   87  0.2879  0.0087  0.0480  0.0478  0.0387  0.03
Rossi 2007   79  0.3858  0.0076  0.0659  0.0625  0.2750  0.13
Rubinstein 1939   82  0.3431  0.0082  0.0383  0.0373  0.0482  0.03
Rubinstein 1952   78  0.3935  0.0079  0.0657  0.0676  0.0474  0.05
Rubinstein 1966   48  0.5164  0.0068  0.0660  0.0651  0.0860  0.07
Schilhawsky 1960   32  0.5659  0.0031  0.0728  0.2627  0.4127  0.33
Shebanova 2002   12  0.6223  0.0118  0.0717  0.3928  0.3821  0.38
Smith 1975   22  0.5975  0.0022  0.1019  0.3713  0.4618  0.41
Sokolov 2002   18  0.6014  0.0124  0.0922  0.3117  0.4224  0.36
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   53  0.5024  0.0067  0.0572  0.0541  0.1258  0.08
Uninsky 1932   8  0.653  0.102  0.192  0.582  0.692  0.63
Uninsky 1971   11  0.6247  0.007  0.2210  0.517  0.5312  0.52
Wasowski 1980   23  0.5920  0.0120  0.0923  0.315  0.5219  0.40
Zak 1937   62  0.4839  0.0064  0.0473  0.0473  0.0479  0.04
Zak 1951   65  0.4771  0.0070  0.0846  0.0869  0.0463  0.06
Random 1   90  -0.0677  0.0088  0.0189  0.0134  0.1680  0.04
Random 2   89  -0.0490  0.0090  0.0190  0.0167  0.0388  0.02
Random 3   88  -0.0286  0.0089  0.0188  0.0151  0.0489  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).