Kitain 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5256  0.0024  0.0719  0.3360  0.0328  0.10
Ashkenazy 1981   5  0.5814  0.0110  0.139  0.5162  0.0322  0.12
Beliavsky 2004   43  0.4834  0.0043  0.0644  0.0648  0.0546  0.05
BenOr 1989   18  0.5449  0.0014  0.1016  0.4149  0.0513  0.14
Biret 1990   22  0.5439  0.0028  0.0926  0.2642  0.0623  0.12
Blet 2003   6  0.5836  0.0011  0.167  0.5250  0.058  0.16
Block 1995   19  0.549  0.0213  0.1122  0.3041  0.0521  0.12
Brailowsky 1960   2  0.625  0.074  0.243  0.6722  0.282  0.43
Chiu 1999   32  0.516  0.0341  0.0640  0.0663  0.0442  0.05
Clidat 1994   7  0.582  0.132  0.225  0.5636  0.067  0.18
Cohen 1997   50  0.4751  0.0036  0.0735  0.0759  0.0457  0.05
Coop 1987   56  0.4545  0.0057  0.0459  0.0451  0.0647  0.05
Cortot 1951   10  0.5747  0.0012  0.1311  0.4857  0.0414  0.14
Czerny 1949   53  0.4617  0.0156  0.0455  0.0451  0.0651  0.05
Czerny 1949b   59  0.4254  0.0059  0.0736  0.0747  0.0635  0.06
Ezaki 2006   55  0.4531  0.0058  0.0646  0.0653  0.0633  0.06
Falvay 1989   24  0.5313  0.0131  0.0730  0.1854  0.0530  0.09
Ferenczy 1958   44  0.4827  0.0021  0.1020  0.3254  0.0425  0.11
Fiorentino 1962   34  0.5160  0.0044  0.0456  0.0457  0.0463  0.04
Fliere 1977   25  0.537  0.0332  0.0832  0.1555  0.0432  0.08
Fou 1978   15  0.5518  0.019  0.136  0.5354  0.049  0.15
Francois 1956   63  0.3553  0.0060  0.0462  0.0445  0.0658  0.05
Hatto 1997   48  0.4864  0.0053  0.0458  0.0452  0.0649  0.05
Horowitz 1971   3  0.611  0.361  0.352  0.714  0.521  0.61
Horowitz 1985   13  0.5625  0.0016  0.1112  0.4719  0.303  0.38
Indjic 2001   47  0.4857  0.0052  0.0550  0.0563  0.0462  0.04
Kapell 1951   14  0.5526  0.0019  0.0917  0.3957  0.0511  0.14
Kiepura 1999   58  0.4441  0.0054  0.0454  0.0439  0.0639  0.05
Kilenyi 1937   30  0.5121  0.0040  0.0738  0.0759  0.0450  0.05
Kissin 1993   8  0.5810  0.017  0.1310  0.5055  0.0412  0.14
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   40  0.5016  0.0123  0.0731  0.1650  0.0531  0.09
Levy 1951   27  0.5238  0.0039  0.0643  0.0645  0.0634  0.06
Luisada 1990   45  0.4840  0.0051  0.0645  0.0663  0.0453  0.05
Lushtak 2004   41  0.4930  0.0034  0.0642  0.0661  0.0454  0.05
Lympany 1968   36  0.5032  0.0020  0.0921  0.3047  0.0516  0.12
Magaloff 1977   38  0.5059  0.0047  0.0833  0.0855  0.0536  0.06
Magaloff 1977b   39  0.5046  0.0046  0.0734  0.0756  0.0537  0.06
Magin 1975   28  0.5211  0.0137  0.0641  0.0657  0.0544  0.05
Milkina 1970   33  0.5148  0.0035  0.0737  0.0762  0.0345  0.05
Mohovich 1999   46  0.4850  0.0025  0.0827  0.2349  0.0527  0.11
Nadelmann 1956   23  0.5333  0.0015  0.1014  0.4450  0.0415  0.13
Ohlsson 1999   57  0.4424  0.0038  0.0552  0.0554  0.0460  0.04
Olejniczac 1990   31  0.5165  0.0042  0.0551  0.0552  0.0552  0.05
Olejniczak 1991   52  0.4655  0.0048  0.0460  0.0456  0.0643  0.05
Osinska 1989   35  0.5152  0.0045  0.0553  0.0558  0.0540  0.05
Paderewski 1912   37  0.5035  0.0029  0.1028  0.2353  0.0526  0.11
Perahia 1994   62  0.3642  0.0061  0.0457  0.0441  0.0655  0.05
Perlemuter 1986   11  0.574  0.096  0.1413  0.4523  0.314  0.37
Poblocka 1999   51  0.4728  0.0055  0.0461  0.0454  0.0559  0.04
Rangell 2001   49  0.4743  0.0049  0.0547  0.0561  0.0464  0.04
Risler 1920   61  0.3822  0.0063  0.0548  0.0551  0.0641  0.05
Rosen 1989   21  0.5429  0.0030  0.0829  0.1948  0.0529  0.10
Rubinstein 1939   9  0.5712  0.0117  0.0915  0.4248  0.0510  0.14
Rubinstein 1952   42  0.4944  0.0033  0.0739  0.0746  0.0538  0.06
Rubinstein 1966   54  0.4662  0.0050  0.0549  0.0539  0.0648  0.05
Rummel 1943   26  0.528  0.025  0.264  0.6526  0.195  0.35
Shebanova 2002   60  0.3863  0.0062  0.0463  0.0441  0.0561  0.04
Smith 1975   4  0.5920  0.008  0.198  0.5159  0.0319  0.12
Szpilman 1948   20  0.5437  0.0022  0.0918  0.3861  0.0418  0.12
Uninsky 1971   12  0.5723  0.0018  0.0923  0.2860  0.0424  0.11
Wasowski 1980   16  0.5515  0.0127  0.0824  0.2755  0.0517  0.12
Weissenberg 1971   17  0.5419  0.0126  0.0825  0.2751  0.0520  0.12
Average   1  0.623  0.103  0.171  0.7443  0.066  0.21
Random 1    66  -0.0566  0.0066  0.0166  0.0165  0.0266  0.01
Random 2   64  0.0158  0.0064  0.0364  0.0341  0.0465  0.03
Random 3   65  -0.0261  0.0065  0.0265  0.0228  0.1356  0.05

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).