Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.1674  0.0058  0.0468  0.0488  0.0278  0.03
Anderszewski 2003   62  0.1963  0.0066  0.0560  0.0566  0.0464  0.04
Ashkenazy 1981   70  0.1675  0.0076  0.0372  0.0377  0.0480  0.03
Bacha 2000   43  0.2466  0.0038  0.0835  0.2759  0.0536  0.12
Badura 1965   52  0.2235  0.0048  0.0551  0.0559  0.0470  0.04
Barbosa 1983   72  0.1559  0.0070  0.0280  0.0272  0.0476  0.03
Biret 1990   58  0.2033  0.0054  0.0647  0.0652  0.0650  0.06
Blet 2003   59  0.2064  0.0050  0.0649  0.0661  0.0648  0.06
Block 1995   9  0.414  0.036  0.1710  0.6132  0.3821  0.48
Blumental 1952   81  0.1186  0.0073  0.0377  0.0375  0.0379  0.03
Boshniakovich 1969   61  0.1913  0.0134  0.0934  0.3068  0.0438  0.11
Brailowsky 1960   18  0.3453  0.0021  0.0918  0.5417  0.5413  0.54
Bunin 1987   79  0.1287  0.0079  0.0378  0.0377  0.0381  0.03
Bunin 1987b   77  0.1288  0.0078  0.0371  0.0377  0.0374  0.03
Chiu 1999   27  0.3215  0.0152  0.0462  0.0473  0.0459  0.04
Cohen 1997   7  0.4212  0.018  0.1811  0.608  0.6210  0.61
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   51  0.229  0.0167  0.0465  0.0446  0.0754  0.05
Czerny 1949   16  0.3531  0.0015  0.1315  0.5712  0.758  0.65
Czerny 1990   89  0.0068  0.0090  0.0190  0.0187  0.0289  0.01
Duchoud 2007   54  0.2280  0.0053  0.0555  0.0555  0.0657  0.05
Ezaki 2006   8  0.423  0.045  0.264  0.7220  0.616  0.66
Falvay 1989   39  0.2543  0.0047  0.0648  0.0660  0.0451  0.05
Farrell 1958   25  0.3332  0.0027  0.0727  0.4326  0.3724  0.40
Ferenczy 1958   11  0.3916  0.0113  0.1712  0.597  0.823  0.70
Fliere 1977   29  0.3169  0.0031  0.0928  0.4166  0.0532  0.14
Fou 1978   47  0.2338  0.0041  0.0643  0.1276  0.0346  0.06
Francois 1956   22  0.3427  0.0014  0.1417  0.5419  0.5812  0.56
Friedman 1923   42  0.2429  0.0059  0.0463  0.0458  0.0758  0.05
Friedman 1923b   50  0.2360  0.0061  0.0559  0.0556  0.0849  0.06
Friedman 1930   44  0.2485  0.0060  0.0561  0.0568  0.0555  0.05
Garcia 2007   57  0.2061  0.0046  0.0558  0.0573  0.0469  0.04
Garcia 2007b   90  -0.0170  0.0089  0.0189  0.0187  0.0290  0.01
Gierzod 1998   28  0.3222  0.0017  0.0919  0.5321  0.5118  0.52
Gornostaeva 1994   2  0.4718  0.004  0.203  0.7313  0.655  0.69
Groot 1988   64  0.1752  0.0057  0.0369  0.0380  0.0382  0.03
Harasiewicz 1955   15  0.3614  0.0132  0.0926  0.4370  0.0435  0.13
Hatto 1993   65  0.1781  0.0069  0.0464  0.0476  0.0471  0.04
Hatto 1997   41  0.2424  0.0045  0.0650  0.0664  0.0456  0.05
Horowitz 1949   86  0.0771  0.0086  0.0286  0.0283  0.0286  0.02
Indjic 1988   83  0.0976  0.0087  0.0285  0.0283  0.0388  0.02
Kapell 1951   78  0.1282  0.0077  0.0370  0.0377  0.0473  0.03
Kissin 1993   80  0.1137  0.0071  0.0379  0.0378  0.0475  0.03
Kushner 1989   46  0.2367  0.0056  0.0466  0.0464  0.0563  0.04
Luisada 1991   82  0.1150  0.0088  0.0288  0.0287  0.0283  0.02
Lushtak 2004   32  0.2951  0.0037  0.0836  0.2640  0.1129  0.17
Malcuzynski 1961   55  0.2211  0.0125  0.0831  0.3558  0.0534  0.13
Magaloff 1978   14  0.3623  0.0012  0.159  0.6128  0.4020  0.49
Magin 1975   84  0.0956  0.0072  0.0376  0.0360  0.0562  0.04
Michalowski 1933   74  0.1489  0.0083  0.0282  0.0281  0.0387  0.02
Milkina 1970   63  0.1740  0.0055  0.0556  0.0549  0.0747  0.06
Mohovich 1999   24  0.338  0.0120  0.0921  0.5240  0.1825  0.31
Moravec 1969   45  0.2428  0.0039  0.0739  0.2076  0.0440  0.09
Morozova 2008   40  0.2554  0.0063  0.0646  0.0682  0.0366  0.04
Neighaus 1950   6  0.435  0.033  0.247  0.6615  0.4414  0.54
Niedzielski 1931   75  0.1357  0.0068  0.0467  0.0472  0.0461  0.04
Ohlsson 1999   13  0.3710  0.0119  0.0922  0.5248  0.0628  0.18
Osinska 1989   4  0.457  0.027  0.166  0.6815  0.599  0.63
Pachmann 1927   19  0.3439  0.0035  0.1033  0.3461  0.0633  0.14
Paderewski 1930   37  0.2748  0.0029  0.0929  0.3944  0.2126  0.29
Perlemuter 1992   60  0.1983  0.0040  0.0640  0.1679  0.0442  0.08
Pierdomenico 2008   31  0.2920  0.0036  0.0838  0.2150  0.0637  0.11
Poblocka 1999   76  0.1344  0.0075  0.0373  0.0376  0.0472  0.03
Rabcewiczowa 1932   10  0.4030  0.0011  0.208  0.6517  0.687  0.66
Rachmaninoff 1923   66  0.1777  0.0062  0.0553  0.0563  0.0460  0.04
Rangell 2001   17  0.3517  0.0010  0.1413  0.5911  0.4815  0.53
Richter 1976   38  0.2578  0.0065  0.0557  0.0560  0.0553  0.05
Rosen 1989   1  0.551  0.401  0.401  0.7910  0.642  0.71
Rosenthal 1930   23  0.3446  0.0023  0.1025  0.4530  0.4023  0.42
Rosenthal 1931   20  0.3445  0.0018  0.1120  0.5214  0.6711  0.59
Rosenthal 1931b   26  0.3379  0.0026  0.0924  0.4820  0.5917  0.53
Rosenthal 1931c   5  0.436  0.039  0.215  0.706  0.704  0.70
Rosenthal 1931d   34  0.2936  0.0024  0.1223  0.5110  0.5616  0.53
Rossi 2007   35  0.2821  0.0028  0.0832  0.356  0.5922  0.45
Rubinstein 1939   30  0.3034  0.0033  0.1137  0.2240  0.1230  0.16
Rubinstein 1952   49  0.2349  0.0030  0.0830  0.3749  0.0631  0.15
Rubinstein 1966   36  0.2872  0.0051  0.0554  0.0572  0.0465  0.04
Schilhawsky 1960   73  0.1573  0.0080  0.0374  0.0367  0.0477  0.03
Shebanova 2002   56  0.2219  0.0064  0.0552  0.0576  0.0467  0.04
Smith 1975   3  0.462  0.322  0.442  0.786  0.771  0.77
Sokolov 2002   21  0.3426  0.0022  0.1016  0.5417  0.4519  0.49
Sztompka 1959   48  0.2384  0.0044  0.0644  0.1170  0.0444  0.07
Tomsic 1995   68  0.1665  0.0049  0.0845  0.0881  0.0352  0.05
Uninsky 1932   33  0.2941  0.0042  0.0641  0.1570  0.0443  0.08
Uninsky 1971   12  0.3758  0.0016  0.1014  0.5741  0.1527  0.29
Wasowski 1980   53  0.2225  0.0043  0.0642  0.1372  0.0541  0.08
Zak 1937   71  0.1590  0.0085  0.0281  0.0283  0.0384  0.02
Zak 1951   69  0.1655  0.0084  0.0287  0.0277  0.0385  0.02
Random 1   85  0.0742  0.0081  0.0283  0.0223  0.2845  0.07
Random 2   88  0.0262  0.0074  0.0375  0.0347  0.0668  0.04
Random 3   87  0.0347  0.0082  0.0284  0.0211  0.4739  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).