Kitain 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.2515  0.0124  0.1122  0.3720  0.2710  0.32
Ashkenazy 1981   53  0.2066  0.0048  0.0552  0.0558  0.0464  0.04
Beliavsky 2004   26  0.299  0.0115  0.1221  0.3822  0.279  0.32
BenOr 1989   33  0.2743  0.0043  0.1033  0.1052  0.0633  0.08
Biret 1990   36  0.2652  0.0038  0.0934  0.0952  0.0535  0.07
Blet 2003   64  0.1464  0.0060  0.0363  0.0344  0.0659  0.04
Block 1995   38  0.2550  0.0039  0.0741  0.0763  0.0348  0.05
Brailowsky 1960   49  0.2240  0.0053  0.0546  0.0554  0.0646  0.05
Chiu 1999   51  0.2131  0.0047  0.0547  0.0558  0.0356  0.04
Clidat 1994   31  0.2848  0.0036  0.0935  0.0962  0.0442  0.06
Cohen 1997   57  0.1863  0.0049  0.0454  0.0437  0.0751  0.05
Coop 1987   16  0.3319  0.0022  0.0914  0.4658  0.0424  0.14
Cortot 1951   13  0.3420  0.0023  0.1124  0.3513  0.583  0.45
Czerny 1949   5  0.3913  0.0116  0.1118  0.4244  0.0619  0.16
Czerny 1949b   2  0.415  0.058  0.168  0.5931  0.198  0.33
Ezaki 2006   48  0.2254  0.0050  0.0550  0.0559  0.0544  0.05
Falvay 1989   63  0.1538  0.0057  0.0551  0.0561  0.0457  0.04
Ferenczy 1958   59  0.1837  0.0059  0.0361  0.0357  0.0560  0.04
Fiorentino 1962   56  0.1947  0.0064  0.0456  0.0455  0.0652  0.05
Fliere 1977   50  0.2261  0.0056  0.0455  0.0458  0.0454  0.04
Fou 1978   43  0.2428  0.0044  0.0644  0.0645  0.0639  0.06
Francois 1956   58  0.1857  0.0055  0.0457  0.0461  0.0366  0.03
Hatto 1997   12  0.357  0.0412  0.1510  0.5127  0.296  0.38
Horowitz 1971   8  0.3711  0.015  0.184  0.6925  0.274  0.43
Horowitz 1985   19  0.313  0.096  0.1813  0.4722  0.277  0.36
Indjic 2001   10  0.358  0.0111  0.129  0.5226  0.325  0.41
Kapell 1951   46  0.2353  0.0028  0.0632  0.1352  0.0532  0.08
Kiepura 1999   14  0.3351  0.0018  0.1019  0.4158  0.0425  0.13
Kilenyi 1937   54  0.1949  0.0058  0.0360  0.0357  0.0561  0.04
Kissin 1993   3  0.4010  0.014  0.182  0.7618  0.511  0.62
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   32  0.2744  0.0030  0.0631  0.1362  0.0341  0.06
Levy 1951   35  0.2736  0.0034  0.0742  0.0757  0.0537  0.06
Luisada 1990   45  0.2321  0.0051  0.0549  0.0558  0.0463  0.04
Lushtak 2004   6  0.3814  0.019  0.176  0.6432  0.1312  0.29
Lympany 1968   30  0.2841  0.0029  0.0727  0.1851  0.0529  0.09
Magaloff 1977   52  0.2035  0.0054  0.0458  0.0463  0.0365  0.03
Magaloff 1977b   41  0.2534  0.0042  0.0839  0.0840  0.0543  0.06
Magin 1975   28  0.2860  0.0040  0.0838  0.0854  0.0538  0.06
Milkina 1970   17  0.3322  0.0013  0.1412  0.4842  0.0618  0.17
Mohovich 1999   40  0.2539  0.0032  0.0729  0.1442  0.0630  0.09
Nadelmann 1956   9  0.364  0.083  0.175  0.6733  0.0914  0.25
Ohlsson 1999   47  0.2332  0.0031  0.0730  0.1458  0.0434  0.07
Olejniczac 1990   55  0.1965  0.0063  0.0364  0.0357  0.0562  0.04
Olejniczak 1991   62  0.1659  0.0062  0.0359  0.0354  0.0658  0.04
Osinska 1989   25  0.2929  0.0037  0.0840  0.0862  0.0345  0.05
Paderewski 1912   20  0.3126  0.0021  0.0920  0.4035  0.0817  0.18
Perahia 1994   4  0.392  0.112  0.213  0.7423  0.282  0.46
Perlemuter 1986   23  0.3030  0.0025  0.1423  0.3550  0.0526  0.13
Poblocka 1999   29  0.2816  0.0127  0.0728  0.1553  0.0431  0.08
Rangell 2001   24  0.3025  0.0020  0.1326  0.3338  0.0723  0.15
Risler 1920   44  0.2462  0.0046  0.0548  0.0553  0.0455  0.04
Rosen 1989   61  0.1627  0.0052  0.0453  0.0449  0.0650  0.05
Rubinstein 1939   7  0.3745  0.0010  0.147  0.6229  0.1611  0.31
Rubinstein 1952   34  0.2723  0.0035  0.0837  0.0861  0.0353  0.05
Rubinstein 1966   11  0.3512  0.0117  0.1316  0.4563  0.0427  0.13
Rummel 1943   37  0.2658  0.0041  0.0836  0.0860  0.0349  0.05
Shebanova 2002   21  0.3017  0.0133  0.0643  0.0662  0.0447  0.05
Smith 1975   27  0.296  0.047  0.1711  0.5029  0.1413  0.26
Szpilman 1948   39  0.2555  0.0045  0.0645  0.0648  0.0636  0.06
Uninsky 1971   18  0.3233  0.0026  0.1425  0.3438  0.0721  0.15
Wasowski 1980   15  0.3324  0.0014  0.1117  0.4347  0.0520  0.15
Weissenberg 1971   22  0.3018  0.0019  0.0915  0.4537  0.0816  0.19
Average   1  0.461  0.441  0.441  0.8357  0.0515  0.20
Random 1    66  0.0546  0.0066  0.0166  0.0111  0.3440  0.06
Random 2   60  0.1742  0.0061  0.0362  0.031  0.7822  0.15
Random 3   65  0.1056  0.0065  0.0265  0.022  0.5428  0.10

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).