Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   48  0.3164  0.0051  0.0450  0.0446  0.0561  0.04
Ax 1995   22  0.4134  0.0016  0.1020  0.4162  0.0423  0.13
Bacha 1998   62  0.2252  0.0061  0.0364  0.0363  0.0464  0.03
Barbosa 1983   11  0.435  0.0413  0.1016  0.4664  0.0417  0.14
BenOr 1989   14  0.4265  0.0027  0.1029  0.2761  0.0432  0.10
Biret 1990   24  0.409  0.0226  0.1024  0.3164  0.0431  0.11
Brailowsky 1960   23  0.4051  0.0029  0.1026  0.3063  0.0428  0.11
Chiu 1999   56  0.2760  0.0054  0.0548  0.0556  0.0451  0.04
Clidat 1994   34  0.3521  0.0024  0.1128  0.2850  0.0526  0.12
Cohen 1997   60  0.2245  0.0063  0.0360  0.0354  0.0562  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   54  0.2719  0.0156  0.0456  0.0456  0.0554  0.04
Czerny 1989   6  0.4512  0.018  0.114  0.6157  0.056  0.17
Ezaki 2006   30  0.3829  0.0034  0.0934  0.0964  0.0435  0.06
Falvay 1989   12  0.4348  0.0020  0.1014  0.4861  0.0513  0.15
Fiorentino 1962   26  0.4030  0.0010  0.127  0.5658  0.059  0.17
Fliere 1977   31  0.3843  0.0030  0.0930  0.2656  0.0527  0.11
Fou 1978   21  0.417  0.0311  0.1221  0.3963  0.0425  0.12
Francois 1956   59  0.2549  0.0059  0.0449  0.0461  0.0463  0.04
Goldenweiser 1946   13  0.423  0.094  0.195  0.6142  0.063  0.19
Gornostaeva 1994   27  0.3935  0.0019  0.1019  0.4354  0.0515  0.15
Groot 1988   9  0.434  0.085  0.188  0.5545  0.072  0.20
Hatto 1993   16  0.4158  0.0015  0.1211  0.5244  0.074  0.19
Hatto 1997   17  0.4138  0.0022  0.0915  0.4764  0.0419  0.14
Horszowski 1983   49  0.3018  0.0145  0.0547  0.0561  0.0448  0.04
Indjic 2001   18  0.4153  0.0023  0.1517  0.4652  0.068  0.17
Katin 1996   50  0.3031  0.0044  0.0545  0.0557  0.0544  0.05
Kiepura 1999   8  0.4416  0.019  0.136  0.5856  0.055  0.17
Korecka 1992   52  0.2962  0.0050  0.0454  0.0462  0.0452  0.04
Kushner 1990   35  0.3541  0.0049  0.0455  0.0456  0.0553  0.04
Lilamand 2001   64  0.1661  0.0064  0.0365  0.0364  0.0365  0.03
Luisada 1990   55  0.2737  0.0057  0.0451  0.0461  0.0557  0.04
Luisada 2008   58  0.2659  0.0058  0.0459  0.0458  0.0555  0.04
Lushtak 2004   4  0.4613  0.016  0.172  0.6462  0.0411  0.16
Malcuzynski 1951   2  0.492  0.172  0.2810  0.5461  0.0512  0.16
Malcuzynski 1961   5  0.4524  0.007  0.1213  0.4862  0.0514  0.15
Magaloff 1977   43  0.3347  0.0033  0.0633  0.1258  0.0533  0.08
Magin 1975   44  0.3332  0.0053  0.0546  0.0557  0.0543  0.05
Meguri 1997   7  0.4514  0.0112  0.119  0.5543  0.057  0.17
Milkina 1970   33  0.3644  0.0040  0.0739  0.0756  0.0536  0.06
Mohovich 1999   32  0.3666  0.0036  0.0736  0.0762  0.0445  0.05
Nezu 2005   40  0.3339  0.0048  0.0452  0.0457  0.0560  0.04
Ohlsson 1999   37  0.3440  0.0052  0.0740  0.0755  0.0538  0.06
Olejniczak 1990   53  0.2820  0.0038  0.0737  0.0764  0.0447  0.05
Osinska 1989   19  0.4111  0.0218  0.1018  0.4362  0.0421  0.13
Perlemuter 1992   61  0.2250  0.0055  0.0453  0.0464  0.0450  0.04
Poblocka 1999   45  0.3346  0.0043  0.0643  0.0664  0.0442  0.05
Rangell 2001   25  0.4042  0.0035  0.0835  0.0852  0.0540  0.06
Richter 1960   15  0.416  0.0414  0.1312  0.4961  0.0418  0.14
Richter 1961   39  0.3417  0.0128  0.0927  0.2847  0.0622  0.13
Rosen 1989   3  0.471  0.351  0.341  0.7049  0.061  0.20
Rubinstein 1939   28  0.3923  0.0021  0.1122  0.3859  0.0424  0.12
Rubinstein 1952   47  0.3236  0.0037  0.0741  0.0754  0.0541  0.06
Rubinstein 1966   41  0.3357  0.0039  0.0738  0.0758  0.0539  0.06
Rudanovskaya 2007   63  0.1955  0.0062  0.0361  0.0350  0.0558  0.04
Shebanova 2002   51  0.3025  0.0046  0.0457  0.0449  0.0456  0.04
Smith 1975   38  0.3415  0.0117  0.0925  0.3154  0.0616  0.14
Sztompka 1959   46  0.3222  0.0041  0.0642  0.0657  0.0637  0.06
Tanyel 1992   20  0.4127  0.0032  0.0832  0.1764  0.0434  0.08
Tsujii 2005   42  0.3363  0.0047  0.0458  0.0458  0.0559  0.04
Uninsky 1959   10  0.4310  0.0225  0.1023  0.3364  0.0429  0.11
Vardi 1988   29  0.3926  0.0031  0.1031  0.2451  0.0530  0.11
Wasowski 1980   57  0.2654  0.0060  0.0362  0.0361  0.0549  0.04
Zimerman 1975   36  0.3567  0.0042  0.0544  0.0555  0.0546  0.05
Average   1  0.508  0.023  0.183  0.6364  0.0410  0.16
Random 1   65  0.1033  0.0065  0.0363  0.031  0.6620  0.14
Random 2   66  0.0056  0.0067  0.0167  0.0139  0.0567  0.02
Random 3   67  -0.0228  0.0066  0.0166  0.0126  0.1266  0.03

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).