Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.1965  0.0070  0.0467  0.0480  0.0373  0.03
Anderszewski 2003   45  0.2625  0.0049  0.0750  0.0768  0.0457  0.05
Ashkenazy 1981   72  0.1871  0.0081  0.0284  0.0281  0.0389  0.02
Bacha 2000   30  0.3018  0.0019  0.1121  0.4435  0.2116  0.30
Badura 1965   71  0.1829  0.0074  0.0371  0.0389  0.0288  0.02
Barbosa 1983   40  0.2791  0.0052  0.0749  0.0777  0.0456  0.05
Biret 1990   38  0.2812  0.0142  0.0543  0.1467  0.0450  0.07
Blet 2003   67  0.1942  0.0069  0.0468  0.0485  0.0272  0.03
Block 1995   14  0.3520  0.0021  0.0919  0.4837  0.2114  0.32
Blumental 1952   52  0.2576  0.0050  0.0747  0.0775  0.0459  0.05
Boshniakovich 1969   58  0.2311  0.0123  0.0835  0.2288  0.0346  0.08
Brailowsky 1960   21  0.3339  0.0025  0.0723  0.3933  0.2515  0.31
Bunin 1987   76  0.1688  0.0079  0.0375  0.0387  0.0375  0.03
Bunin 1987b   82  0.1585  0.0080  0.0282  0.0283  0.0382  0.02
Chiu 1999   54  0.2435  0.0066  0.0562  0.0578  0.0462  0.04
Cohen 1997   12  0.3631  0.0015  0.1311  0.6212  0.613  0.61
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   69  0.1943  0.0085  0.0285  0.0282  0.0386  0.02
Czerny 1949   2  0.422  0.242  0.332  0.7418  0.671  0.70
Czerny 1990   75  0.1869  0.0064  0.0654  0.0688  0.0277  0.03
Duchoud 2007   80  0.1686  0.0075  0.0281  0.0278  0.0474  0.03
Ezaki 2006   9  0.3815  0.0114  0.1312  0.6152  0.0821  0.22
Falvay 1989   55  0.2480  0.0061  0.0565  0.0579  0.0463  0.04
Farrell 1958   8  0.3824  0.008  0.146  0.6621  0.385  0.50
Ferenczy 1958   23  0.3219  0.0031  0.0828  0.3132  0.509  0.39
Fliere 1977   22  0.3263  0.0020  0.0920  0.4468  0.0430  0.13
Fou 1978   32  0.2926  0.0029  0.0727  0.3483  0.0337  0.10
Francois 1956   27  0.3067  0.0030  0.0725  0.3630  0.2517  0.30
Friedman 1923   73  0.1883  0.0077  0.0377  0.0385  0.0378  0.03
Friedman 1923b   77  0.1689  0.0086  0.0376  0.0381  0.0376  0.03
Friedman 1930   86  0.1277  0.0091  0.0191  0.0183  0.0387  0.02
Garcia 2007   65  0.2190  0.0063  0.0661  0.0680  0.0366  0.04
Garcia 2007b   87  0.1061  0.0071  0.0374  0.0387  0.0290  0.02
Gierzod 1998   33  0.2934  0.0028  0.0929  0.3074  0.0434  0.11
Gornostaeva 1994   4  0.3917  0.0012  0.1115  0.5533  0.368  0.44
Groot 1988   59  0.2372  0.0053  0.0564  0.0587  0.0367  0.04
Harasiewicz 1955   7  0.3810  0.0116  0.1413  0.6052  0.0625  0.19
Hatto 1993   49  0.2678  0.0055  0.0751  0.0786  0.0360  0.05
Hatto 1997   34  0.2937  0.0033  0.0930  0.2764  0.0438  0.10
Horowitz 1949   88  0.1064  0.0090  0.0190  0.0177  0.0384  0.02
Indjic 1988   62  0.2284  0.0060  0.0655  0.0686  0.0364  0.04
Kapell 1951   63  0.2252  0.0038  0.0545  0.1277  0.0447  0.07
Kissin 1993   66  0.2036  0.0065  0.0658  0.0676  0.0455  0.05
Kushner 1989   44  0.2646  0.0048  0.0656  0.0680  0.0453  0.05
Luisada 1991   78  0.1630  0.0089  0.0189  0.0188  0.0291  0.01
Lushtak 2004   26  0.3149  0.0045  0.0744  0.1374  0.0449  0.07
Malcuzynski 1961   16  0.355  0.045  0.159  0.6371  0.0427  0.16
Magaloff 1978   3  0.403  0.183  0.303  0.7127  0.336  0.48
Magin 1975   81  0.1587  0.0076  0.0278  0.0288  0.0280  0.02
Michalowski 1933   85  0.1466  0.0087  0.0279  0.0275  0.0385  0.02
Milkina 1970   51  0.2581  0.0046  0.0652  0.0673  0.0454  0.05
Mohovich 1999   37  0.2816  0.0026  0.0731  0.2546  0.0631  0.12
Moravec 1969   57  0.2375  0.0062  0.0563  0.0584  0.0268  0.03
Morozova 2008   42  0.2753  0.0051  0.0653  0.0684  0.0365  0.04
Neighaus 1950   20  0.3313  0.0110  0.1217  0.5134  0.2513  0.36
Niedzielski 1931   83  0.1538  0.0084  0.0287  0.0267  0.0469  0.03
Ohlsson 1999   24  0.3148  0.0041  0.0539  0.1654  0.0541  0.09
Osinska 1989   5  0.3950  0.009  0.127  0.6538  0.2110  0.37
Pachmann 1927   64  0.2174  0.0068  0.0470  0.0480  0.0371  0.03
Paderewski 1930   53  0.2422  0.0022  0.0922  0.3930  0.3611  0.37
Perlemuter 1992   84  0.1558  0.0072  0.0373  0.0387  0.0279  0.02
Pierdomenico 2008   56  0.2456  0.0054  0.0748  0.0754  0.0452  0.05
Poblocka 1999   47  0.2673  0.0040  0.0640  0.1661  0.0540  0.09
Rabcewiczowa 1932   15  0.359  0.0111  0.1110  0.6234  0.327  0.45
Rachmaninoff 1923   39  0.2855  0.0034  0.0636  0.2157  0.0536  0.10
Rangell 2001   6  0.394  0.044  0.304  0.6910  0.572  0.63
Richter 1976   35  0.2944  0.0047  0.0946  0.0966  0.0548  0.07
Rosen 1989   11  0.376  0.0213  0.1418  0.5139  0.1618  0.29
Rosenthal 1930   25  0.3128  0.0035  0.0733  0.2336  0.3019  0.26
Rosenthal 1931   48  0.2679  0.0056  0.0659  0.0646  0.0751  0.06
Rosenthal 1931b   61  0.2370  0.0058  0.0657  0.0650  0.0561  0.05
Rosenthal 1931c   19  0.337  0.0124  0.0726  0.3441  0.1620  0.23
Rosenthal 1931d   50  0.2621  0.0043  0.0641  0.1526  0.3022  0.21
Rossi 2007   60  0.2368  0.0059  0.0566  0.0537  0.2433  0.11
Rubinstein 1939   17  0.3440  0.0017  0.1514  0.5730  0.2312  0.36
Rubinstein 1952   46  0.2645  0.0027  0.0924  0.3866  0.0432  0.12
Rubinstein 1966   28  0.3062  0.0037  0.0534  0.2387  0.0344  0.08
Schilhawsky 1960   29  0.3033  0.0036  0.0537  0.2062  0.0442  0.09
Shebanova 2002   43  0.2614  0.0157  0.0660  0.0683  0.0458  0.05
Smith 1975   13  0.368  0.016  0.158  0.6322  0.474  0.54
Sokolov 2002   36  0.2923  0.0044  0.0742  0.1542  0.1528  0.15
Sztompka 1959   18  0.3341  0.0018  0.1516  0.5447  0.0724  0.19
Tomsic 1995   79  0.1651  0.0073  0.0372  0.0382  0.0470  0.03
Uninsky 1932   31  0.3054  0.0032  0.0832  0.2573  0.0343  0.09
Uninsky 1971   10  0.3847  0.007  0.175  0.6953  0.0623  0.20
Wasowski 1980   41  0.2732  0.0039  0.0538  0.1957  0.0535  0.10
Zak 1937   68  0.1982  0.0082  0.0286  0.0285  0.0381  0.02
Zak 1951   74  0.1859  0.0083  0.0283  0.0284  0.0383  0.02
Average   1  0.461  0.331  0.321  0.7984  0.0329  0.15
Random 1   90  0.0560  0.0088  0.0288  0.021  0.5339  0.10
Random 2   89  0.0857  0.0078  0.0280  0.0221  0.3345  0.08
Random 3   91  0.0527  0.0067  0.0469  0.041  0.7126  0.17

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).