Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.5849  0.0061  0.0651  0.061  0.8552  0.23
Anderszewski 2003   62  0.5663  0.0047  0.0652  0.062  0.8356  0.22
Ashkenazy 1981   18  0.6541  0.0036  0.0732  0.331  0.9032  0.54
Bacha 2000   79  0.5088  0.0076  0.0379  0.031  0.8085  0.15
Badura 1965   76  0.5158  0.0066  0.0477  0.041  0.8668  0.19
Barbosa 1983   24  0.6438  0.0023  0.0719  0.461  0.9020  0.64
Biret 1990   47  0.5940  0.0050  0.0560  0.051  0.8763  0.21
Blet 2003   45  0.5919  0.0051  0.0566  0.051  0.8661  0.21
Block 1995   40  0.6113  0.0130  0.1135  0.311  0.9033  0.53
Blumental 1952   46  0.5922  0.0046  0.0748  0.071  0.8847  0.25
Boshniakovich 1969   22  0.654  0.048  0.256  0.621  0.917  0.75
Brailowsky 1960   65  0.5444  0.0065  0.0467  0.041  0.8570  0.18
Bunin 1987   57  0.5672  0.0054  0.0561  0.052  0.8762  0.21
Bunin 1987b   63  0.5678  0.0055  0.0658  0.062  0.8651  0.23
Chiu 1999   19  0.6574  0.0034  0.0731  0.331  0.9031  0.54
Cohen 1997   75  0.5162  0.0073  0.0476  0.041  0.8475  0.18
Cortot 1951   81  0.4636  0.0081  0.0384  0.031  0.7988  0.15
Csalog 1996   53  0.5848  0.0062  0.0749  0.071  0.8449  0.24
Czerny 1949   70  0.5350  0.0070  0.0469  0.043  0.8374  0.18
Czerny 1990   21  0.6510  0.0115  0.0815  0.541  0.9015  0.70
Duchoud 2007   77  0.5181  0.0074  0.0380  0.031  0.8282  0.16
Ezaki 2006   36  0.6223  0.0032  0.0837  0.261  0.8736  0.48
Falvay 1989   20  0.6529  0.0029  0.0827  0.371  0.8827  0.57
Farrell 1958   68  0.5353  0.0063  0.0650  0.061  0.8155  0.22
Ferenczy 1958   87  0.4167  0.0087  0.0468  0.046  0.7773  0.18
Fliere 1977   1  0.761  0.491  0.481  0.821  0.941  0.88
Fou 1978   10  0.6664  0.0018  0.1016  0.531  0.9116  0.69
Francois 1956   80  0.4955  0.0075  0.0470  0.041  0.8377  0.18
Friedman 1923   54  0.5725  0.0058  0.0846  0.083  0.9046  0.27
Friedman 1923b   55  0.579  0.0257  0.0657  0.063  0.9053  0.23
Friedman 1930   48  0.5930  0.0044  0.0744  0.153  0.8944  0.37
Garcia 2007   78  0.5189  0.0064  0.0656  0.062  0.8357  0.22
Garcia 2007b   71  0.5269  0.0060  0.0655  0.062  0.8458  0.22
Gierzod 1998   43  0.5924  0.0028  0.0828  0.371  0.8528  0.56
Gornostaeva 1994   38  0.6165  0.0039  0.0743  0.181  0.8843  0.40
Groot 1988   13  0.668  0.027  0.2311  0.601  0.919  0.74
Harasiewicz 1955   2  0.747  0.022  0.242  0.751  0.922  0.83
Hatto 1993   5  0.692  0.143  0.265  0.653  0.915  0.77
Hatto 1997   16  0.6634  0.0010  0.119  0.603  0.8911  0.73
Horowitz 1949   74  0.5270  0.0078  0.0381  0.031  0.8380  0.16
Indjic 1988   8  0.6712  0.015  0.207  0.623  0.916  0.75
Kapell 1951   26  0.6417  0.0025  0.0729  0.361  0.8529  0.55
Kissin 1993   41  0.6076  0.0049  0.0562  0.051  0.8960  0.21
Kushner 1989   3  0.7114  0.016  0.214  0.701  0.914  0.80
Luisada 1991   23  0.6527  0.0041  0.0742  0.191  0.8840  0.41
Lushtak 2004   42  0.6057  0.0038  0.0636  0.271  0.8537  0.48
Malcuzynski 1961   12  0.6621  0.0011  0.1112  0.601  0.8910  0.73
Magaloff 1978   17  0.6515  0.0116  0.0920  0.461  0.9019  0.64
Magin 1975   35  0.6245  0.0045  0.0645  0.121  0.8545  0.32
Michalowski 1933   82  0.4661  0.0083  0.0383  0.031  0.8281  0.16
Milkina 1970   44  0.5954  0.0027  0.0825  0.421  0.8725  0.60
Mohovich 1999   33  0.6326  0.0024  0.0721  0.451  0.9021  0.64
Moravec 1969   34  0.6371  0.0037  0.0834  0.311  0.8734  0.52
Morozova 2008   27  0.646  0.0213  0.1213  0.561  0.8814  0.70
Neighaus 1950   39  0.6131  0.0035  0.0838  0.211  0.8838  0.43
Niedzielski 1931   72  0.5273  0.0067  0.0382  0.031  0.8179  0.16
Ohlsson 1999   14  0.6651  0.0021  0.0823  0.441  0.9023  0.63
Osinska 1989   11  0.6647  0.0014  0.0914  0.551  0.9013  0.70
Pachmann 1927   73  0.5280  0.0082  0.0471  0.042  0.8172  0.18
Paderewski 1930   83  0.4583  0.0080  0.0385  0.031  0.8087  0.15
Perlemuter 1992   61  0.5656  0.0071  0.0472  0.041  0.8667  0.19
Pierdomenico 2008   69  0.5386  0.0079  0.0388  0.031  0.8086  0.15
Poblocka 1999   32  0.6343  0.0031  0.0830  0.341  0.8630  0.54
Rabcewiczowa 1932   64  0.5539  0.0053  0.0653  0.061  0.8750  0.23
Rachmaninoff 1923   50  0.5860  0.0040  0.0641  0.191  0.8642  0.40
Rangell 2001   58  0.5642  0.0052  0.0565  0.051  0.8466  0.20
Richter 1976   9  0.675  0.0317  0.0924  0.431  0.8824  0.62
Rosen 1989   7  0.6818  0.0012  0.118  0.611  0.908  0.74
Rosenthal 1930   66  0.5337  0.0077  0.0386  0.036  0.8483  0.16
Rosenthal 1931   85  0.4482  0.0086  0.0559  0.055  0.8464  0.20
Rosenthal 1931b   84  0.4590  0.0085  0.0474  0.045  0.8576  0.18
Rosenthal 1931c   67  0.5359  0.0068  0.0478  0.045  0.8769  0.19
Rosenthal 1931d   86  0.4387  0.0084  0.0387  0.035  0.8384  0.16
Rossi 2007   88  0.3579  0.0088  0.0473  0.042  0.7178  0.17
Rubinstein 1939   49  0.5932  0.0048  0.0654  0.061  0.8354  0.22
Rubinstein 1952   29  0.6311  0.0122  0.0917  0.511  0.8818  0.67
Rubinstein 1966   4  0.703  0.084  0.253  0.731  0.913  0.82
Schilhawsky 1960   60  0.5675  0.0072  0.0563  0.051  0.7965  0.20
Shebanova 2002   6  0.6820  0.009  0.1210  0.601  0.9012  0.73
Smith 1975   56  0.5766  0.0069  0.0475  0.041  0.8571  0.18
Sokolov 2002   52  0.5835  0.0056  0.0564  0.051  0.8659  0.21
Sztompka 1959   28  0.6446  0.0026  0.0726  0.381  0.8926  0.58
Tomsic 1995   59  0.5677  0.0059  0.0747  0.071  0.8448  0.24
Uninsky 1932   37  0.6116  0.0133  0.0733  0.311  0.8835  0.52
Uninsky 1971   25  0.6433  0.0019  0.0618  0.501  0.8917  0.67
Wasowski 1980   15  0.6652  0.0020  0.0622  0.441  0.8922  0.63
Zak 1937   30  0.6368  0.0043  0.0940  0.192  0.8941  0.41
Zak 1951   31  0.6328  0.0042  0.0639  0.202  0.8839  0.42
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0584  0.0090  0.0190  0.0187  0.0290  0.01
Random 2   89  0.0185  0.0089  0.0289  0.0255  0.0589  0.03
Random 3   91  -0.0891  0.0091  0.0191  0.0185  0.0291  0.01

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).