Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.5042  0.0056  0.0850  0.0882  0.0358  0.05
Anderszewski 2003   25  0.5725  0.0031  0.0830  0.3650  0.0543  0.13
Ashkenazy 1981   64  0.4375  0.0069  0.0567  0.0589  0.0279  0.03
Bacha 2000   50  0.4843  0.0054  0.0658  0.0661  0.0454  0.05
Badura 1965   74  0.3856  0.0073  0.0378  0.0388  0.0289  0.02
Barbosa 1983   32  0.5547  0.0013  0.1426  0.4131  0.3915  0.40
Biret 1990   21  0.5935  0.0027  0.0922  0.4664  0.0440  0.14
Blet 2003   63  0.4485  0.0066  0.0564  0.0586  0.0274  0.03
Block 1995   36  0.548  0.0218  0.0724  0.4616  0.469  0.46
Blumental 1952   18  0.609  0.027  0.118  0.5628  0.2421  0.37
Boshniakovich 1969   61  0.4480  0.0061  0.0663  0.0663  0.0559  0.05
Brailowsky 1960   8  0.6319  0.0120  0.0821  0.478  0.665  0.56
Bunin 1987   80  0.3381  0.0079  0.0387  0.0388  0.0380  0.03
Bunin 1987b   83  0.3163  0.0080  0.0472  0.0486  0.0369  0.03
Chiu 1999   24  0.5776  0.0033  0.0631  0.3224  0.2726  0.29
Cohen 1997   44  0.5024  0.0037  0.0737  0.253  0.5223  0.36
Cortot 1951   86  0.3064  0.0085  0.0376  0.0386  0.0383  0.03
Csalog 1996   6  0.642  0.172  0.363  0.641  0.721  0.68
Czerny 1949   72  0.3971  0.0074  0.0380  0.0372  0.0477  0.03
Czerny 1990   5  0.664  0.076  0.256  0.6034  0.3114  0.43
Duchoud 2007   82  0.3254  0.0078  0.0386  0.0370  0.0478  0.03
Ezaki 2006   9  0.6317  0.0126  0.1213  0.5040  0.1825  0.30
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   28  0.5728  0.0017  0.0716  0.4931  0.3713  0.43
Ferenczy 1958   34  0.5550  0.0043  0.0643  0.1622  0.4027  0.25
Fliere 1977   35  0.5552  0.0045  0.0745  0.1474  0.0449  0.07
Fou 1978   10  0.6332  0.0025  0.0918  0.4844  0.1129  0.23
Francois 1956   57  0.4657  0.0053  0.0947  0.0955  0.0551  0.07
Friedman 1923   79  0.3465  0.0083  0.0379  0.0375  0.0484  0.03
Friedman 1923b   81  0.3311  0.0182  0.0382  0.0375  0.0481  0.03
Friedman 1930   73  0.3982  0.0075  0.0374  0.0383  0.0376  0.03
Garcia 2007   65  0.4377  0.0063  0.0570  0.0572  0.0466  0.04
Garcia 2007b   56  0.4639  0.0058  0.0661  0.0646  0.0653  0.06
Gierzod 1998   26  0.5769  0.0042  0.0742  0.1976  0.0347  0.08
Gornostaeva 1994   27  0.576  0.0414  0.0814  0.5030  0.2918  0.38
Groot 1988   38  0.5445  0.0023  0.0819  0.4723  0.3119  0.38
Harasiewicz 1955   37  0.5448  0.0044  0.0844  0.1673  0.0448  0.08
Hatto 1993   70  0.4158  0.0071  0.0659  0.0682  0.0368  0.04
Hatto 1997   67  0.4283  0.0072  0.0662  0.0683  0.0365  0.04
Horowitz 1949   84  0.3086  0.0087  0.0381  0.0381  0.0371  0.03
Indjic 1988   66  0.4249  0.0070  0.0473  0.0475  0.0373  0.03
Kapell 1951   39  0.5437  0.0040  0.1136  0.2751  0.0642  0.13
Kissin 1993   29  0.5612  0.0132  0.0838  0.2469  0.0446  0.10
Kushner 1989   2  0.677  0.023  0.142  0.6923  0.523  0.60
Luisada 1991   30  0.5661  0.0038  0.0835  0.2964  0.0544  0.12
Lushtak 2004   14  0.6231  0.009  0.107  0.5623  0.427  0.48
Malcuzynski 1961   68  0.4146  0.0060  0.0471  0.0488  0.0270  0.03
Magaloff 1978   19  0.5934  0.0019  0.0720  0.4714  0.4212  0.44
Magin 1975   46  0.5036  0.0047  0.0948  0.0974  0.0357  0.05
Michalowski 1933   88  0.2787  0.0086  0.0288  0.0288  0.0386  0.02
Milkina 1970   15  0.6130  0.0015  0.0711  0.5257  0.0633  0.18
Mohovich 1999   7  0.6322  0.0110  0.099  0.5527  0.428  0.48
Moravec 1969   12  0.6214  0.0116  0.0912  0.5113  0.576  0.54
Morozova 2008   60  0.4666  0.0059  0.0660  0.0683  0.0364  0.04
Neighaus 1950   71  0.3972  0.0076  0.0377  0.0385  0.0382  0.03
Niedzielski 1931   76  0.3651  0.0068  0.0752  0.0763  0.0456  0.05
Ohlsson 1999   59  0.4641  0.0057  0.0569  0.0579  0.0463  0.04
Osinska 1989   3  0.675  0.065  0.175  0.6032  0.3310  0.44
Pachmann 1927   58  0.4678  0.0064  0.0565  0.0523  0.3839  0.14
Paderewski 1930   75  0.3679  0.0065  0.0568  0.0557  0.0461  0.04
Perlemuter 1992   31  0.5684  0.0041  0.0840  0.2146  0.0841  0.13
Pierdomenico 2008   42  0.5123  0.0021  0.0632  0.3117  0.4420  0.37
Poblocka 1999   43  0.5110  0.0146  0.0849  0.0852  0.0552  0.06
Rabcewiczowa 1932   33  0.5516  0.018  0.1325  0.4520  0.3216  0.38
Rachmaninoff 1923   54  0.4762  0.0051  0.0753  0.0784  0.0355  0.05
Rangell 2001   49  0.4818  0.0128  0.0839  0.2238  0.2728  0.24
Richter 1976   87  0.2938  0.0088  0.0375  0.0384  0.0285  0.02
Rosen 1989   17  0.6059  0.0024  0.0917  0.4853  0.0637  0.17
Rosenthal 1930   69  0.4188  0.0067  0.0656  0.0665  0.0367  0.04
Rosenthal 1931   51  0.4867  0.0048  0.0654  0.0619  0.4736  0.17
Rosenthal 1931b   53  0.4789  0.0050  0.0751  0.0719  0.4734  0.18
Rosenthal 1931c   48  0.4968  0.0036  0.0633  0.3020  0.4622  0.37
Rosenthal 1931d   52  0.4744  0.0049  0.0657  0.0619  0.5038  0.17
Rossi 2007   40  0.5326  0.0029  0.0827  0.4010  0.4811  0.44
Rubinstein 1939   41  0.5253  0.0039  0.1041  0.2142  0.1435  0.17
Rubinstein 1952   4  0.661  0.321  0.314  0.629  0.602  0.61
Rubinstein 1966   11  0.6220  0.0112  0.1115  0.4933  0.3017  0.38
Schilhawsky 1960   85  0.3055  0.0084  0.0384  0.0387  0.0375  0.03
Shebanova 2002   23  0.5715  0.0130  0.0934  0.3075  0.0445  0.11
Smith 1975   16  0.6040  0.0022  0.0723  0.4632  0.2524  0.34
Sokolov 2002   62  0.4413  0.0152  0.0946  0.0953  0.0550  0.07
Sztompka 1959   55  0.4770  0.0062  0.0566  0.0588  0.0362  0.04
Tomsic 1995   13  0.6233  0.0011  0.1310  0.532  0.684  0.60
Uninsky 1932   77  0.3573  0.0081  0.0383  0.0388  0.0287  0.02
Uninsky 1971   78  0.3560  0.0077  0.0385  0.0382  0.0472  0.03
Wasowski 1980   47  0.5029  0.0055  0.0655  0.0686  0.0360  0.04
Zak 1937   20  0.5927  0.0035  0.1128  0.3842  0.1330  0.22
Zak 1951   22  0.5821  0.0134  0.0729  0.3744  0.1131  0.20
Average   1  0.693  0.114  0.171  0.7159  0.0532  0.19
Random 1   91  -0.1590  0.0091  0.0191  0.0171  0.0390  0.02
Random 2   89  -0.0991  0.0089  0.0190  0.0174  0.0388  0.02
Random 3   90  -0.1274  0.0090  0.0189  0.0149  0.0591  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).