Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.4524  0.0048  0.0464  0.0465  0.0469  0.04
Anderszewski 2003   49  0.4037  0.0039  0.0540  0.1386  0.0351  0.06
Ashkenazy 1981   78  0.3372  0.0073  0.0378  0.0375  0.0383  0.03
Bacha 2000   52  0.4038  0.0045  0.0647  0.0642  0.1041  0.08
Badura 1965   55  0.407  0.0150  0.0555  0.0554  0.0657  0.05
Barbosa 1983   64  0.3669  0.0027  0.0632  0.2242  0.1223  0.16
Biret 1990   21  0.5012  0.0123  0.0921  0.3772  0.0437  0.12
Blet 2003   19  0.508  0.0120  0.0920  0.388  0.458  0.41
Block 1995   58  0.3921  0.0028  0.0633  0.1873  0.0443  0.08
Blumental 1952   25  0.4815  0.008  0.1511  0.4939  0.1511  0.27
Boshniakovich 1969   43  0.4318  0.0049  0.0558  0.0565  0.0471  0.04
Brailowsky 1960   50  0.4055  0.0068  0.0560  0.0564  0.0554  0.05
Bunin 1987   68  0.3564  0.0078  0.0468  0.0476  0.0384  0.03
Bunin 1987b   71  0.3573  0.0077  0.0471  0.0471  0.0462  0.04
Chiu 1999   56  0.4070  0.0034  0.0829  0.2528  0.2215  0.23
Cohen 1997   72  0.3532  0.0043  0.0542  0.1313  0.4017  0.23
Cortot 1951   82  0.3174  0.0082  0.0385  0.0371  0.0487  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   74  0.3479  0.0076  0.0381  0.0374  0.0482  0.03
Czerny 1990   23  0.4975  0.0018  0.0818  0.3966  0.0436  0.12
Duchoud 2007   80  0.3240  0.0079  0.0376  0.0361  0.0570  0.04
Ezaki 2006   26  0.4852  0.0024  0.0822  0.3658  0.0529  0.13
Falvay 1989   2  0.642  0.302  0.411  0.722  0.642  0.68
Farrell 1958   75  0.3476  0.0066  0.0374  0.0381  0.0376  0.03
Ferenczy 1958   3  0.613  0.143  0.313  0.651  0.751  0.70
Fliere 1977   15  0.526  0.0314  0.0715  0.4253  0.0526  0.14
Fou 1978   18  0.5123  0.0016  0.0917  0.4147  0.0621  0.16
Francois 1956   67  0.3646  0.0074  0.0470  0.0459  0.0473  0.04
Friedman 1923   86  0.2361  0.0086  0.0383  0.0384  0.0388  0.03
Friedman 1923b   87  0.2371  0.0085  0.0386  0.0384  0.0385  0.03
Friedman 1930   84  0.2850  0.0071  0.0380  0.0384  0.0381  0.03
Garcia 2007   44  0.4366  0.0055  0.0646  0.0645  0.0752  0.06
Garcia 2007b   46  0.4253  0.0057  0.0462  0.0454  0.0474  0.04
Gierzod 1998   14  0.5247  0.0019  0.0812  0.4466  0.0431  0.13
Gornostaeva 1994   40  0.4467  0.0040  0.0537  0.1563  0.0349  0.07
Groot 1988   28  0.4882  0.0030  0.0626  0.3043  0.0924  0.16
Harasiewicz 1955   37  0.4456  0.0033  0.0827  0.3073  0.0439  0.11
Hatto 1993   59  0.3920  0.0038  0.0641  0.1359  0.0544  0.08
Hatto 1997   48  0.415  0.0335  0.0836  0.1772  0.0442  0.08
Horowitz 1949   85  0.2654  0.0087  0.0467  0.0476  0.0463  0.04
Indjic 1988   53  0.4014  0.0137  0.0639  0.1464  0.0448  0.07
Kapell 1951   1  0.651  0.311  0.312  0.7112  0.434  0.55
Kissin 1993   20  0.5017  0.0031  0.0725  0.3154  0.0627  0.14
Kushner 1989   6  0.569  0.019  0.1610  0.4941  0.1313  0.25
Luisada 1991   54  0.4058  0.0056  0.0745  0.0761  0.0550  0.06
Lushtak 2004   27  0.4839  0.0017  0.0619  0.3842  0.1319  0.22
Malcuzynski 1961   70  0.3530  0.0067  0.0373  0.0374  0.0377  0.03
Magaloff 1978   60  0.3927  0.0070  0.0379  0.0383  0.0375  0.03
Magin 1975   30  0.4731  0.0042  0.0643  0.1160  0.0447  0.07
Michalowski 1933   83  0.2877  0.0083  0.0287  0.0276  0.0389  0.02
Milkina 1970   16  0.5219  0.0026  0.0624  0.3463  0.0530  0.13
Mohovich 1999   5  0.574  0.064  0.234  0.6418  0.543  0.59
Moravec 1969   17  0.5126  0.0032  0.0731  0.2223  0.3810  0.29
Morozova 2008   47  0.4188  0.0054  0.0548  0.0573  0.0467  0.04
Neighaus 1950   81  0.3183  0.0080  0.0382  0.0376  0.0486  0.03
Niedzielski 1931   62  0.3880  0.0063  0.0561  0.0569  0.0361  0.04
Ohlsson 1999   73  0.3562  0.0053  0.0553  0.0569  0.0466  0.04
Osinska 1989   9  0.5433  0.0010  0.138  0.5152  0.0720  0.19
Pachmann 1927   77  0.3365  0.0081  0.0384  0.0352  0.0565  0.04
Paderewski 1930   79  0.3281  0.0084  0.0377  0.0384  0.0378  0.03
Perlemuter 1992   31  0.4757  0.0029  0.0630  0.2434  0.2118  0.22
Pierdomenico 2008   51  0.4022  0.0046  0.0556  0.0545  0.1046  0.07
Poblocka 1999   11  0.5316  0.0011  0.125  0.5640  0.179  0.31
Rabcewiczowa 1932   24  0.4878  0.0022  0.0823  0.3662  0.0433  0.12
Rachmaninoff 1923   69  0.3589  0.0064  0.0552  0.0576  0.0460  0.04
Rangell 2001   66  0.3684  0.0069  0.0469  0.0469  0.0472  0.04
Richter 1976   76  0.3368  0.0061  0.0463  0.0466  0.0464  0.04
Rosen 1989   8  0.5549  0.0013  0.0613  0.4343  0.1216  0.23
Rosenthal 1930   33  0.4559  0.0058  0.0465  0.0438  0.1940  0.09
Rosenthal 1931   38  0.4448  0.0059  0.0551  0.0525  0.3034  0.12
Rosenthal 1931b   32  0.4613  0.0160  0.0554  0.0526  0.2938  0.12
Rosenthal 1931c   22  0.5035  0.0036  0.0635  0.1725  0.4012  0.26
Rosenthal 1931d   39  0.4463  0.0062  0.0550  0.0527  0.3928  0.14
Rossi 2007   57  0.3945  0.0025  0.0734  0.1827  0.3214  0.24
Rubinstein 1939   41  0.4351  0.0041  0.0738  0.1542  0.1032  0.12
Rubinstein 1952   4  0.5842  0.006  0.217  0.5115  0.486  0.49
Rubinstein 1966   12  0.5311  0.015  0.236  0.5130  0.357  0.42
Schilhawsky 1960   63  0.3785  0.0072  0.0375  0.0383  0.0380  0.03
Shebanova 2002   29  0.4886  0.0021  0.0828  0.2952  0.0535  0.12
Smith 1975   42  0.4343  0.0044  0.0644  0.1174  0.0445  0.07
Sokolov 2002   35  0.4534  0.0047  0.0549  0.0548  0.0555  0.05
Sztompka 1959   65  0.3687  0.0075  0.0372  0.0383  0.0379  0.03
Tomsic 1995   7  0.5510  0.017  0.159  0.509  0.595  0.54
Uninsky 1932   61  0.3936  0.0065  0.0466  0.0470  0.0468  0.04
Uninsky 1971   36  0.4441  0.0051  0.0557  0.0572  0.0556  0.05
Wasowski 1980   45  0.4228  0.0052  0.0559  0.0577  0.0459  0.04
Zak 1937   13  0.5325  0.0015  0.0816  0.4154  0.0622  0.16
Zak 1951   10  0.5429  0.0012  0.1314  0.4362  0.0525  0.15
Random 1   89  -0.1060  0.0089  0.0288  0.0241  0.1258  0.05
Random 2   90  -0.1690  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   88  -0.0644  0.0088  0.0289  0.0232  0.1753  0.06

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).