Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   14  0.4561  0.0028  0.0826  0.2263  0.0431  0.09
Ax 1995   36  0.4032  0.0035  0.0638  0.0658  0.0639  0.06
Bacha 1998   25  0.4250  0.0045  0.0545  0.0564  0.0357  0.04
Barbosa 1983   10  0.483  0.1119  0.0928  0.2152  0.0626  0.11
BenOr 1989   1  0.568  0.048  0.128  0.5159  0.057  0.16
Biret 1990   18  0.4411  0.0237  0.0447  0.0452  0.0650  0.05
Brailowsky 1960   16  0.4430  0.0018  0.1016  0.4059  0.0417  0.13
Chiu 1999   61  0.2643  0.0064  0.0543  0.0561  0.0541  0.05
Clidat 1994   43  0.3628  0.0050  0.0540  0.0558  0.0545  0.05
Cohen 1997   48  0.3444  0.0061  0.0461  0.0452  0.0563  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   39  0.3723  0.0139  0.0456  0.0454  0.0643  0.05
Czerny 1989   49  0.3413  0.0124  0.0821  0.2541  0.0622  0.12
Ezaki 2006   20  0.4340  0.0027  0.0723  0.2352  0.0620  0.12
Falvay 1989   7  0.501  0.231  0.221  0.6862  0.046  0.16
Fiorentino 1962   17  0.4416  0.0116  0.1215  0.4362  0.0512  0.15
Fliere 1977   31  0.4136  0.0017  0.1019  0.3262  0.0424  0.11
Fou 1978   15  0.4541  0.0034  0.0735  0.0752  0.0636  0.06
Francois 1956   51  0.3347  0.0057  0.0362  0.0354  0.0564  0.04
Goldenweiser 1946   47  0.344  0.094  0.1313  0.4627  0.211  0.31
Gornostaeva 1994   22  0.4238  0.0051  0.0637  0.0663  0.0449  0.05
Groot 1988   23  0.4217  0.0114  0.1310  0.4956  0.058  0.16
Hatto 1993   28  0.4225  0.0011  0.139  0.5061  0.059  0.16
Hatto 1997   24  0.4221  0.0112  0.1211  0.4863  0.0414  0.14
Horszowski 1983   60  0.3031  0.0056  0.0453  0.0464  0.0453  0.04
Indjic 2001   26  0.4259  0.0013  0.1112  0.4862  0.0416  0.14
Katin 1996   54  0.3263  0.0060  0.0455  0.0456  0.0559  0.04
Kiepura 1999   9  0.489  0.0320  0.0924  0.2346  0.0621  0.12
Korecka 1992   38  0.3862  0.0044  0.0449  0.0463  0.0365  0.03
Kushner 1990   6  0.5019  0.0125  0.0827  0.2247  0.0528  0.10
Lilamand 2001   45  0.3566  0.0033  0.0533  0.1164  0.0337  0.06
Luisada 1990   44  0.3645  0.0046  0.0544  0.0554  0.0646  0.05
Luisada 2008   19  0.4433  0.0026  0.0722  0.2463  0.0332  0.08
Lushtak 2004   4  0.515  0.063  0.212  0.6660  0.0315  0.14
Malcuzynski 1951   2  0.542  0.142  0.203  0.6363  0.0410  0.16
Malcuzynski 1961   3  0.5318  0.017  0.106  0.5658  0.054  0.17
Magaloff 1977   53  0.3358  0.0038  0.0450  0.0463  0.0461  0.04
Magin 1975   37  0.3952  0.0049  0.0639  0.0656  0.0635  0.06
Meguri 1997   21  0.4315  0.0131  0.0631  0.1438  0.0629  0.09
Milkina 1970   46  0.3435  0.0052  0.0448  0.0454  0.0558  0.04
Mohovich 1999   55  0.3267  0.0048  0.0736  0.0756  0.0538  0.06
Nezu 2005   12  0.4629  0.0030  0.0830  0.1558  0.0630  0.09
Ohlsson 1999   35  0.4126  0.0023  0.0829  0.1955  0.0527  0.10
Olejniczak 1990   50  0.3322  0.0140  0.0460  0.0454  0.0651  0.05
Osinska 1989   11  0.476  0.065  0.117  0.5656  0.063  0.18
Perlemuter 1992   63  0.2554  0.0059  0.0458  0.0439  0.0555  0.04
Poblocka 1999   30  0.4139  0.0047  0.0834  0.0855  0.0633  0.07
Rangell 2001   8  0.4912  0.0210  0.155  0.5756  0.055  0.17
Richter 1960   59  0.3024  0.0032  0.0632  0.1160  0.0434  0.07
Richter 1961   62  0.2637  0.0043  0.0457  0.0446  0.0640  0.05
Rosen 1989   42  0.377  0.056  0.1017  0.4051  0.0611  0.15
Rubinstein 1939   58  0.3055  0.0058  0.0363  0.0352  0.0656  0.04
Rubinstein 1952   56  0.3157  0.0063  0.0542  0.0556  0.0552  0.05
Rubinstein 1966   57  0.3051  0.0062  0.0454  0.0454  0.0560  0.04
Rudanovskaya 2007   64  0.2348  0.0055  0.0365  0.0346  0.0562  0.04
Shebanova 2002   52  0.3327  0.0053  0.0546  0.0553  0.0644  0.05
Smith 1975   29  0.4214  0.0115  0.1314  0.4464  0.0418  0.13
Sztompka 1959   32  0.4120  0.0122  0.0920  0.3162  0.0425  0.11
Tanyel 1992   13  0.4546  0.0029  0.0925  0.2351  0.0623  0.12
Tsujii 2005   34  0.4165  0.0036  0.0541  0.0555  0.0647  0.05
Uninsky 1959   27  0.4210  0.0221  0.0918  0.3353  0.0613  0.14
Vardi 1988   41  0.3753  0.0042  0.0451  0.0452  0.0642  0.05
Wasowski 1980   40  0.3760  0.0054  0.0459  0.0454  0.0554  0.04
Zimerman 1975   33  0.4134  0.0041  0.0452  0.0449  0.0648  0.05
Average   5  0.5142  0.009  0.114  0.6159  0.062  0.19
Random 1   65  0.0149  0.0065  0.0364  0.034  0.6019  0.13
Random 2   66  -0.0156  0.0066  0.0266  0.0238  0.0566  0.03
Random 3   67  -0.0864  0.0067  0.0167  0.0132  0.0967  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).