Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.7444  0.0058  0.0553  0.0557  0.0462  0.04
Ashkenazy 1981   33  0.7642  0.0044  0.0648  0.0643  0.0648  0.06
Beliavsky 2004   51  0.7257  0.0057  0.0458  0.0458  0.0459  0.04
BenOr 1989   6  0.838  0.036  0.173  0.6350  0.0511  0.18
Biret 1990   35  0.7636  0.0043  0.0550  0.0548  0.0556  0.05
Blet 2003   13  0.804  0.094  0.1212  0.4551  0.0515  0.15
Block 1995   55  0.7218  0.0147  0.0551  0.0546  0.0655  0.05
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   61  0.6452  0.0055  0.0360  0.0345  0.0658  0.04
Clidat 1994   4  0.8412  0.028  0.244  0.6242  0.0610  0.19
Cohen 1997   62  0.5647  0.0063  0.0647  0.0636  0.0649  0.06
Coop 1987   54  0.7226  0.0031  0.0830  0.1761  0.0434  0.08
Cortot 1951   11  0.8143  0.0033  0.0737  0.0722  0.2623  0.13
Czerny 1949   18  0.806  0.0613  0.1611  0.4654  0.0516  0.15
Czerny 1949b   14  0.8014  0.0117  0.1215  0.4246  0.0519  0.14
Ezaki 2006   31  0.7720  0.0127  0.0723  0.2556  0.0526  0.11
Falvay 1989   48  0.7413  0.0129  0.0731  0.1451  0.0632  0.09
Ferenczy 1958   46  0.7533  0.0019  0.0826  0.2037  0.0725  0.12
Fiorentino 1962   42  0.7556  0.0036  0.0641  0.0639  0.0843  0.07
Fliere 1977   8  0.8146  0.009  0.148  0.4757  0.0513  0.15
Fou 1978   9  0.812  0.102  0.182  0.6845  0.067  0.20
Francois 1956   7  0.8117  0.0114  0.0910  0.4715  0.362  0.41
Hatto 1997   32  0.7719  0.0153  0.0363  0.0342  0.0561  0.04
Horowitz 1971   25  0.7827  0.0025  0.0632  0.1240  0.0636  0.08
Horowitz 1985   59  0.6840  0.0062  0.0555  0.0535  0.0937  0.07
Indjic 2001   34  0.7662  0.0054  0.0361  0.0341  0.0563  0.04
Kapell 1951   40  0.7629  0.0028  0.0725  0.2253  0.0529  0.10
Kiepura 1999   43  0.7535  0.0052  0.0552  0.0538  0.0651  0.05
Kilenyi 1937   53  0.7223  0.0039  0.0736  0.0752  0.0644  0.06
Kissin 1993   44  0.7554  0.0026  0.0628  0.1956  0.0530  0.10
Kitain 1937   63  0.4324  0.0061  0.0359  0.0331  0.1742  0.07
Kushner 1990   19  0.8032  0.0018  0.0817  0.3448  0.0424  0.12
Levy 1951   57  0.725  0.0815  0.0921  0.2616  0.414  0.33
Luisada 1990   24  0.7845  0.0037  0.0645  0.0639  0.0645  0.06
Lushtak 2004   15  0.8048  0.0012  0.139  0.4762  0.0420  0.14
Lympany 1968   5  0.833  0.093  0.117  0.4926  0.223  0.33
Magaloff 1977   28  0.7863  0.0050  0.0833  0.0846  0.0640  0.07
Magaloff 1977b   29  0.7864  0.0049  0.0734  0.0748  0.0647  0.06
Magin 1975   37  0.7631  0.0045  0.0740  0.0742  0.0738  0.07
Milkina 1970   3  0.8522  0.0111  0.1613  0.4428  0.126  0.23
Mohovich 1999   16  0.8028  0.0021  0.0822  0.2650  0.0528  0.11
Nadelmann 1956   26  0.7837  0.0042  0.0739  0.0732  0.0935  0.08
Ohlsson 1999   60  0.6561  0.0060  0.0457  0.0454  0.0460  0.04
Olejniczac 1990   41  0.7655  0.0034  0.0644  0.0637  0.0841  0.07
Olejniczak 1991   30  0.7765  0.0032  0.0929  0.1855  0.0533  0.09
Osinska 1989   2  0.859  0.027  0.155  0.5852  0.0512  0.17
Paderewski 1912   50  0.7359  0.0056  0.0362  0.0361  0.0364  0.03
Perahia 1994   52  0.7234  0.0059  0.0456  0.0422  0.2531  0.10
Perlemuter 1986   10  0.8121  0.0116  0.0814  0.4355  0.0422  0.13
Poblocka 1999   27  0.7810  0.0230  0.0924  0.2340  0.0817  0.14
Rangell 2001   49  0.7366  0.0046  0.0738  0.0749  0.0550  0.06
Risler 1920   56  0.7251  0.0038  0.0642  0.0655  0.0552  0.05
Rosen 1989   38  0.7616  0.0141  0.0735  0.0739  0.0646  0.06
Rubinstein 1939   39  0.7630  0.0040  0.0643  0.0615  0.3518  0.14
Rubinstein 1952   23  0.7911  0.0210  0.1616  0.4029  0.165  0.25
Rubinstein 1966   17  0.8039  0.0024  0.0627  0.1927  0.208  0.19
Rummel 1943   21  0.797  0.035  0.166  0.541  0.631  0.58
Shebanova 2002   36  0.7660  0.0035  0.0549  0.0544  0.0554  0.05
Smith 1975   12  0.8025  0.0023  0.1020  0.2961  0.0427  0.11
Szpilman 1948   22  0.7953  0.0022  0.1118  0.3351  0.0521  0.13
Uninsky 1971   20  0.8015  0.0120  0.0719  0.3136  0.0714  0.15
Wasowski 1980   45  0.7549  0.0051  0.0554  0.0550  0.0457  0.04
Weissenberg 1971   58  0.6958  0.0048  0.0646  0.0653  0.0553  0.05
Average   1  0.861  0.281  0.271  0.7350  0.059  0.19
Random 1    65  -0.0841  0.0065  0.0265  0.0217  0.2639  0.07
Random 2   64  -0.0438  0.0064  0.0364  0.0363  0.0265  0.02
Random 3   66  -0.1950  0.0066  0.0166  0.0160  0.0266  0.01

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).