Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.3021  0.0017  0.1315  0.5152  0.0518  0.16
Ashkenazy 1981   46  0.2053  0.0040  0.0649  0.0662  0.0452  0.05
Beliavsky 2004   15  0.3311  0.0114  0.1114  0.5424  0.209  0.33
BenOr 1989   59  0.0841  0.0059  0.0262  0.0263  0.0366  0.02
Biret 1990   41  0.2333  0.0046  0.0644  0.0650  0.0553  0.05
Blet 2003   62  0.0762  0.0057  0.0357  0.0363  0.0260  0.02
Block 1995   20  0.3258  0.0030  0.1228  0.2750  0.0528  0.12
Brailowsky 1960   45  0.2034  0.0052  0.0551  0.0559  0.0456  0.04
Chiu 1999   19  0.3235  0.0025  0.1122  0.3953  0.0427  0.12
Clidat 1994   8  0.392  0.125  0.1812  0.5923  0.296  0.41
Cohen 1997   39  0.2322  0.0021  0.1224  0.3528  0.1613  0.24
Coop 1987   40  0.2349  0.0042  0.0556  0.0546  0.0548  0.05
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   2  0.523  0.093  0.371  0.8417  0.413  0.59
Czerny 1949b   3  0.488  0.014  0.304  0.7519  0.444  0.57
Ezaki 2006   54  0.1347  0.0054  0.0553  0.0563  0.0354  0.04
Falvay 1989   48  0.2042  0.0043  0.0647  0.0647  0.0545  0.05
Ferenczy 1958   63  0.0560  0.0065  0.0265  0.0264  0.0361  0.02
Fiorentino 1962   58  0.0861  0.0061  0.0359  0.0364  0.0265  0.02
Fliere 1977   38  0.2450  0.0044  0.0550  0.0545  0.0542  0.05
Fou 1978   43  0.2151  0.0048  0.0643  0.0654  0.0546  0.05
Francois 1956   47  0.2043  0.0049  0.0838  0.0859  0.0440  0.06
Hatto 1997   31  0.2752  0.0028  0.1029  0.2357  0.0430  0.10
Horowitz 1971   13  0.3524  0.0019  0.1818  0.4656  0.0421  0.14
Horowitz 1985   16  0.3330  0.0013  0.1211  0.5939  0.0814  0.22
Indjic 2001   33  0.2656  0.0029  0.0931  0.2054  0.0432  0.09
Kapell 1951   42  0.2228  0.0041  0.0555  0.0550  0.0547  0.05
Kiepura 1999   7  0.4123  0.0011  0.138  0.6329  0.1411  0.30
Kilenyi 1937   61  0.0759  0.0062  0.0358  0.0363  0.0358  0.03
Kissin 1993   1  0.531  0.581  0.572  0.818  0.651  0.73
Kitain 1937   14  0.3419  0.0015  0.1513  0.5824  0.355  0.45
Kushner 1990   37  0.2415  0.0035  0.0935  0.0960  0.0438  0.06
Levy 1951   36  0.2548  0.0032  0.0832  0.1558  0.0531  0.09
Luisada 1990   44  0.2146  0.0050  0.0740  0.0760  0.0351  0.05
Lushtak 2004   6  0.4417  0.006  0.196  0.7026  0.208  0.37
Lympany 1968   30  0.2718  0.0034  0.0934  0.0963  0.0341  0.05
Magaloff 1977   29  0.2844  0.0031  0.1030  0.2162  0.0334  0.08
Magaloff 1977b   25  0.309  0.0126  0.1026  0.3344  0.0524  0.13
Magin 1975   28  0.2937  0.0033  0.0837  0.0852  0.0536  0.06
Milkina 1970   22  0.3054  0.0023  0.1223  0.3654  0.0523  0.13
Mohovich 1999   53  0.1445  0.0051  0.0645  0.0662  0.0357  0.04
Nadelmann 1956   21  0.3039  0.0022  0.1220  0.4548  0.0520  0.15
Ohlsson 1999   50  0.1863  0.0039  0.0554  0.0548  0.0549  0.05
Olejniczac 1990   56  0.0957  0.0058  0.0261  0.0264  0.0363  0.02
Olejniczak 1991   57  0.0964  0.0060  0.0264  0.0264  0.0259  0.02
Osinska 1989   10  0.3610  0.0120  0.1217  0.4763  0.0326  0.12
Paderewski 1912   17  0.336  0.027  0.1710  0.5924  0.287  0.41
Perahia 1994   12  0.3525  0.0018  0.1316  0.5039  0.0816  0.20
Perlemuter 1986   34  0.2655  0.0038  0.1133  0.1151  0.0535  0.07
Poblocka 1999   32  0.2626  0.0036  0.0936  0.0963  0.0343  0.05
Rangell 2001   18  0.3212  0.0124  0.1021  0.4148  0.0522  0.14
Risler 1920   51  0.1829  0.0047  0.0646  0.0654  0.0444  0.05
Rosen 1989   64  0.0338  0.0064  0.0263  0.0264  0.0264  0.02
Rubinstein 1939   9  0.3814  0.018  0.197  0.6331  0.1510  0.31
Rubinstein 1952   26  0.2936  0.0027  0.1325  0.3436  0.0525  0.13
Rubinstein 1966   52  0.1665  0.0053  0.0741  0.0758  0.0450  0.05
Rummel 1943   24  0.3016  0.0016  0.1019  0.4529  0.1612  0.27
Shebanova 2002   35  0.2631  0.0037  0.0739  0.0753  0.0539  0.06
Smith 1975   11  0.3620  0.0012  0.149  0.6139  0.0617  0.19
Szpilman 1948   55  0.1066  0.0056  0.0648  0.0664  0.0355  0.04
Uninsky 1971   4  0.477  0.012  0.293  0.807  0.582  0.68
Wasowski 1980   27  0.294  0.0510  0.1427  0.3057  0.0429  0.11
Weissenberg 1971   49  0.1913  0.0145  0.0742  0.0757  0.0537  0.06
Average   5  0.445  0.029  0.215  0.7250  0.0615  0.21
Random 1    65  0.0240  0.0063  0.0260  0.0216  0.2933  0.08
Random 2   66  -0.0327  0.0066  0.0166  0.0138  0.0562  0.02
Random 3   60  0.0832  0.0055  0.0552  0.053  0.5319  0.16

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).