Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.1673  0.0059  0.0369  0.0389  0.0289  0.02
Anderszewski 2003   63  0.1964  0.0067  0.0561  0.0567  0.0465  0.04
Ashkenazy 1981   71  0.1674  0.0077  0.0373  0.0378  0.0480  0.03
Bacha 2000   44  0.2467  0.0039  0.0836  0.2760  0.0537  0.12
Badura 1965   53  0.2232  0.0049  0.0552  0.0560  0.0471  0.04
Barbosa 1983   73  0.1559  0.0071  0.0281  0.0273  0.0477  0.03
Biret 1990   59  0.2033  0.0055  0.0648  0.0653  0.0651  0.06
Blet 2003   60  0.2065  0.0051  0.0650  0.0662  0.0649  0.06
Block 1995   10  0.414  0.037  0.1711  0.6133  0.3821  0.48
Blumental 1952   82  0.1187  0.0074  0.0378  0.0376  0.0379  0.03
Boshniakovich 1969   62  0.1913  0.0135  0.0935  0.3069  0.0439  0.11
Brailowsky 1960   19  0.3453  0.0022  0.0919  0.5418  0.5413  0.54
Bunin 1987   80  0.1288  0.0080  0.0379  0.0378  0.0381  0.03
Bunin 1987b   78  0.1289  0.0079  0.0372  0.0378  0.0375  0.03
Chiu 1999   28  0.3222  0.0053  0.0463  0.0474  0.0460  0.04
Cohen 1997   8  0.4214  0.019  0.1812  0.609  0.6210  0.61
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   52  0.2210  0.0168  0.0466  0.0447  0.0755  0.05
Czerny 1949   17  0.3530  0.0016  0.1316  0.5712  0.758  0.65
Czerny 1990   90  0.0068  0.0091  0.0191  0.0188  0.0290  0.01
Duchoud 2007   55  0.2280  0.0054  0.0556  0.0556  0.0658  0.05
Ezaki 2006   9  0.423  0.044  0.194  0.7221  0.616  0.66
Falvay 1989   40  0.2544  0.0048  0.0649  0.0661  0.0452  0.05
Farrell 1958   26  0.3334  0.0028  0.0728  0.4327  0.3724  0.40
Ferenczy 1958   12  0.3916  0.0114  0.1613  0.597  0.823  0.70
Fliere 1977   30  0.3169  0.0032  0.0929  0.4167  0.0533  0.14
Fou 1978   48  0.2339  0.0042  0.0644  0.1277  0.0347  0.06
Francois 1956   23  0.3428  0.0015  0.1418  0.5420  0.5812  0.56
Friedman 1923   43  0.2431  0.0060  0.0464  0.0459  0.0759  0.05
Friedman 1923b   51  0.2360  0.0062  0.0560  0.0557  0.0850  0.06
Friedman 1930   45  0.2485  0.0061  0.0562  0.0569  0.0468  0.04
Garcia 2007   58  0.2061  0.0047  0.0559  0.0574  0.0470  0.04
Garcia 2007b   91  -0.0170  0.0090  0.0190  0.0188  0.0291  0.01
Gierzod 1998   29  0.3223  0.0018  0.0920  0.5322  0.5118  0.52
Gornostaeva 1994   3  0.4717  0.006  0.223  0.7314  0.655  0.69
Groot 1988   65  0.1762  0.0058  0.0370  0.0381  0.0382  0.03
Harasiewicz 1955   16  0.3615  0.0133  0.0927  0.4371  0.0436  0.13
Hatto 1993   66  0.1781  0.0070  0.0465  0.0477  0.0472  0.04
Hatto 1997   42  0.2425  0.0046  0.0651  0.0665  0.0456  0.05
Horowitz 1949   87  0.0771  0.0087  0.0287  0.0284  0.0286  0.02
Indjic 1988   84  0.0975  0.0088  0.0286  0.0284  0.0388  0.02
Kapell 1951   79  0.1282  0.0078  0.0371  0.0378  0.0474  0.03
Kissin 1993   81  0.1137  0.0072  0.0380  0.0379  0.0476  0.03
Kushner 1989   47  0.2376  0.0057  0.0467  0.0465  0.0564  0.04
Luisada 1991   83  0.1152  0.0089  0.0289  0.0288  0.0283  0.02
Lushtak 2004   33  0.2951  0.0038  0.0737  0.2641  0.1130  0.17
Malcuzynski 1961   56  0.2211  0.0126  0.0832  0.3559  0.0535  0.13
Magaloff 1978   15  0.3624  0.0013  0.1510  0.6129  0.4020  0.49
Magin 1975   85  0.0955  0.0073  0.0377  0.0361  0.0563  0.04
Michalowski 1933   75  0.1490  0.0084  0.0283  0.0282  0.0387  0.02
Milkina 1970   64  0.1741  0.0056  0.0557  0.0550  0.0748  0.06
Mohovich 1999   25  0.339  0.0121  0.0922  0.5241  0.1825  0.31
Moravec 1969   46  0.2429  0.0040  0.0740  0.2077  0.0441  0.09
Morozova 2008   41  0.2557  0.0064  0.0647  0.0683  0.0367  0.04
Neighaus 1950   7  0.435  0.033  0.238  0.6616  0.4414  0.54
Niedzielski 1931   76  0.1356  0.0069  0.0468  0.0473  0.0462  0.04
Ohlsson 1999   14  0.3712  0.0120  0.0923  0.5249  0.0628  0.18
Osinska 1989   5  0.457  0.028  0.167  0.6816  0.599  0.63
Pachmann 1927   20  0.3440  0.0036  0.1034  0.3462  0.0634  0.14
Paderewski 1930   38  0.2749  0.0030  0.0930  0.3945  0.2126  0.29
Perlemuter 1992   61  0.1983  0.0041  0.0641  0.1680  0.0345  0.07
Pierdomenico 2008   32  0.2919  0.0037  0.0839  0.2151  0.0638  0.11
Poblocka 1999   77  0.1345  0.0076  0.0374  0.0377  0.0473  0.03
Rabcewiczowa 1932   11  0.4038  0.0012  0.209  0.6518  0.687  0.66
Rachmaninoff 1923   67  0.1777  0.0063  0.0554  0.0564  0.0461  0.04
Rangell 2001   18  0.3518  0.0011  0.1414  0.5912  0.4815  0.53
Richter 1976   39  0.2586  0.0066  0.0558  0.0561  0.0554  0.05
Rosen 1989   1  0.551  0.401  0.401  0.7911  0.642  0.71
Rosenthal 1930   24  0.3447  0.0024  0.1026  0.4531  0.4023  0.42
Rosenthal 1931   21  0.3446  0.0019  0.1021  0.5215  0.6711  0.59
Rosenthal 1931b   27  0.3378  0.0027  0.0825  0.4821  0.5917  0.53
Rosenthal 1931c   6  0.436  0.0310  0.216  0.707  0.704  0.70
Rosenthal 1931d   35  0.2936  0.0025  0.1224  0.5111  0.5616  0.53
Rossi 2007   36  0.2820  0.0029  0.0833  0.356  0.5922  0.45
Rubinstein 1939   31  0.3035  0.0034  0.1138  0.2241  0.1231  0.16
Rubinstein 1952   50  0.2350  0.0031  0.0831  0.3750  0.0632  0.15
Rubinstein 1966   37  0.2872  0.0052  0.0555  0.0573  0.0466  0.04
Schilhawsky 1960   74  0.1579  0.0081  0.0375  0.0368  0.0478  0.03
Shebanova 2002   57  0.2221  0.0065  0.0553  0.0577  0.0469  0.04
Smith 1975   4  0.462  0.322  0.442  0.786  0.771  0.77
Sokolov 2002   22  0.3427  0.0023  0.0917  0.5418  0.4519  0.49
Sztompka 1959   49  0.2384  0.0045  0.0645  0.1171  0.0446  0.07
Tomsic 1995   69  0.1666  0.0050  0.0846  0.0882  0.0353  0.05
Uninsky 1932   34  0.2942  0.0043  0.0642  0.1571  0.0443  0.08
Uninsky 1971   13  0.3758  0.0017  0.0915  0.5742  0.1527  0.29
Wasowski 1980   54  0.2226  0.0044  0.0643  0.1373  0.0542  0.08
Zak 1937   72  0.1591  0.0086  0.0282  0.0284  0.0384  0.02
Zak 1951   70  0.1654  0.0085  0.0288  0.0278  0.0385  0.02
Average   2  0.488  0.015  0.165  0.7279  0.0429  0.17
Random 1   86  0.0743  0.0082  0.0284  0.0223  0.3044  0.08
Random 2   89  0.0263  0.0075  0.0376  0.0346  0.0757  0.05
Random 3   88  0.0348  0.0083  0.0285  0.0211  0.4740  0.10

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).