Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.1965  0.0069  0.0466  0.0479  0.0372  0.03
Anderszewski 2003   44  0.2621  0.0048  0.0749  0.0767  0.0456  0.05
Ashkenazy 1981   71  0.1872  0.0080  0.0283  0.0280  0.0388  0.02
Bacha 2000   29  0.3017  0.0018  0.1120  0.4434  0.2116  0.30
Badura 1965   70  0.1832  0.0073  0.0470  0.0488  0.0274  0.03
Barbosa 1983   39  0.2790  0.0051  0.0748  0.0776  0.0455  0.05
Biret 1990   37  0.2813  0.0141  0.0642  0.1466  0.0449  0.07
Blet 2003   66  0.1946  0.0068  0.0467  0.0484  0.0271  0.03
Block 1995   13  0.3519  0.0020  0.0918  0.4836  0.2114  0.32
Blumental 1952   51  0.2573  0.0049  0.0746  0.0774  0.0458  0.05
Boshniakovich 1969   57  0.2312  0.0122  0.0834  0.2287  0.0345  0.08
Brailowsky 1960   20  0.3338  0.0024  0.0722  0.3932  0.2515  0.31
Bunin 1987   75  0.1687  0.0078  0.0374  0.0386  0.0375  0.03
Bunin 1987b   81  0.1584  0.0079  0.0281  0.0282  0.0382  0.02
Chiu 1999   53  0.2433  0.0065  0.0561  0.0577  0.0462  0.04
Cohen 1997   11  0.3626  0.0014  0.1310  0.6211  0.613  0.61
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   68  0.1947  0.0084  0.0284  0.0281  0.0386  0.02
Czerny 1949   1  0.421  0.341  0.331  0.7417  0.671  0.70
Czerny 1990   74  0.1869  0.0063  0.0653  0.0687  0.0277  0.03
Duchoud 2007   79  0.1685  0.0074  0.0280  0.0277  0.0473  0.03
Ezaki 2006   8  0.3815  0.0113  0.1311  0.6151  0.0821  0.22
Falvay 1989   54  0.2475  0.0060  0.0564  0.0578  0.0463  0.04
Farrell 1958   7  0.3825  0.007  0.145  0.6620  0.385  0.50
Ferenczy 1958   22  0.3218  0.0030  0.0827  0.3131  0.509  0.39
Fliere 1977   21  0.3245  0.0019  0.0919  0.4467  0.0429  0.13
Fou 1978   31  0.2928  0.0028  0.0726  0.3482  0.0336  0.10
Francois 1956   26  0.3067  0.0029  0.0724  0.3629  0.2517  0.30
Friedman 1923   72  0.1882  0.0076  0.0376  0.0384  0.0378  0.03
Friedman 1923b   76  0.1688  0.0085  0.0375  0.0380  0.0376  0.03
Friedman 1930   85  0.1277  0.0090  0.0190  0.0182  0.0387  0.02
Garcia 2007   64  0.2189  0.0062  0.0660  0.0679  0.0367  0.04
Garcia 2007b   86  0.1062  0.0070  0.0373  0.0386  0.0289  0.02
Gierzod 1998   32  0.2937  0.0027  0.0928  0.3073  0.0433  0.11
Gornostaeva 1994   3  0.396  0.0311  0.1114  0.5532  0.368  0.44
Groot 1988   58  0.2374  0.0052  0.0563  0.0586  0.0368  0.04
Harasiewicz 1955   6  0.389  0.0215  0.1512  0.6051  0.0625  0.19
Hatto 1993   48  0.2678  0.0054  0.0750  0.0785  0.0359  0.05
Hatto 1997   33  0.2941  0.0032  0.0929  0.2763  0.0437  0.10
Horowitz 1949   87  0.1063  0.0089  0.0189  0.0176  0.0384  0.02
Indjic 1988   61  0.2283  0.0059  0.0654  0.0685  0.0365  0.04
Kapell 1951   62  0.2248  0.0037  0.0544  0.1276  0.0446  0.07
Kissin 1993   65  0.2039  0.0064  0.0657  0.0675  0.0554  0.05
Kushner 1989   43  0.2640  0.0047  0.0655  0.0679  0.0452  0.05
Luisada 1991   77  0.1629  0.0088  0.0188  0.0187  0.0290  0.01
Lushtak 2004   25  0.3152  0.0044  0.0743  0.1373  0.0448  0.07
Malcuzynski 1961   15  0.355  0.044  0.158  0.6370  0.0427  0.16
Magaloff 1978   2  0.402  0.202  0.312  0.7126  0.336  0.48
Magin 1975   80  0.1586  0.0075  0.0277  0.0287  0.0280  0.02
Michalowski 1933   84  0.1466  0.0086  0.0278  0.0274  0.0385  0.02
Milkina 1970   50  0.2581  0.0045  0.0751  0.0772  0.0453  0.05
Mohovich 1999   36  0.2816  0.0025  0.0730  0.2545  0.0630  0.12
Moravec 1969   56  0.2376  0.0061  0.0562  0.0583  0.0361  0.04
Morozova 2008   41  0.2735  0.0050  0.0652  0.0683  0.0366  0.04
Neighaus 1950   19  0.3310  0.019  0.1216  0.5133  0.2513  0.36
Niedzielski 1931   82  0.1542  0.0083  0.0286  0.0266  0.0469  0.03
Ohlsson 1999   23  0.3151  0.0040  0.0538  0.1653  0.0540  0.09
Osinska 1989   4  0.3949  0.008  0.126  0.6537  0.2110  0.37
Pachmann 1927   63  0.2164  0.0067  0.0469  0.0479  0.0370  0.03
Paderewski 1930   52  0.2423  0.0021  0.0921  0.3929  0.3611  0.37
Perlemuter 1992   83  0.1558  0.0071  0.0372  0.0386  0.0279  0.02
Pierdomenico 2008   55  0.2457  0.0053  0.0747  0.0753  0.0451  0.05
Poblocka 1999   46  0.2670  0.0039  0.0639  0.1660  0.0539  0.09
Rabcewiczowa 1932   14  0.357  0.0210  0.119  0.6233  0.327  0.45
Rachmaninoff 1923   38  0.2855  0.0033  0.0635  0.2156  0.0535  0.10
Rangell 2001   5  0.393  0.133  0.303  0.699  0.572  0.63
Richter 1976   34  0.2924  0.0046  0.0945  0.0965  0.0547  0.07
Rosen 1989   10  0.374  0.0612  0.1417  0.5138  0.1618  0.29
Rosenthal 1930   24  0.3131  0.0034  0.0732  0.2335  0.3019  0.26
Rosenthal 1931   47  0.2679  0.0055  0.0658  0.0645  0.0750  0.06
Rosenthal 1931b   60  0.2371  0.0057  0.0656  0.0649  0.0560  0.05
Rosenthal 1931c   18  0.3311  0.0123  0.0725  0.3440  0.1620  0.23
Rosenthal 1931d   49  0.2620  0.0042  0.0640  0.1525  0.3022  0.21
Rossi 2007   59  0.2368  0.0058  0.0565  0.0536  0.2432  0.11
Rubinstein 1939   16  0.3443  0.0016  0.1613  0.5729  0.2312  0.36
Rubinstein 1952   45  0.2634  0.0026  0.0923  0.3865  0.0431  0.12
Rubinstein 1966   27  0.3059  0.0036  0.0533  0.2386  0.0343  0.08
Schilhawsky 1960   28  0.3036  0.0035  0.0536  0.2061  0.0441  0.09
Shebanova 2002   42  0.2614  0.0156  0.0659  0.0682  0.0457  0.05
Smith 1975   12  0.368  0.025  0.157  0.6321  0.474  0.54
Sokolov 2002   35  0.2927  0.0043  0.0741  0.1541  0.1528  0.15
Sztompka 1959   17  0.3344  0.0017  0.1515  0.5446  0.0724  0.19
Tomsic 1995   78  0.1653  0.0072  0.0471  0.0481  0.0464  0.04
Uninsky 1932   30  0.3054  0.0031  0.0831  0.2572  0.0342  0.09
Uninsky 1971   9  0.3850  0.006  0.174  0.6952  0.0623  0.20
Wasowski 1980   40  0.2722  0.0038  0.0537  0.1956  0.0534  0.10
Zak 1937   67  0.1980  0.0081  0.0285  0.0284  0.0381  0.02
Zak 1951   73  0.1860  0.0082  0.0282  0.0283  0.0383  0.02
Random 1   89  0.0561  0.0087  0.0287  0.021  0.5338  0.10
Random 2   88  0.0856  0.0077  0.0279  0.0221  0.3144  0.08
Random 3   90  0.0530  0.0066  0.0468  0.041  0.7026  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).