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  0.4346  0.0012  0.1112  0.4540  0.068  0.16
Ashkenazy 1981   11  0.4940  0.0017  0.1015  0.3954  0.0614  0.15
Beliavsky 2004   31  0.4629  0.0027  0.0723  0.2663  0.0330  0.09
BenOr 1989   12  0.4934  0.0019  0.0719  0.3161  0.0423  0.11
Biret 1990   29  0.4661  0.0032  0.0831  0.1649  0.0628  0.10
Blet 2003   32  0.4658  0.0021  0.0922  0.2763  0.0331  0.09
Block 1995   46  0.4233  0.0040  0.0642  0.0647  0.0641  0.06
Brailowsky 1960   17  0.4823  0.0023  0.0821  0.2952  0.0518  0.12
Chiu 1999   49  0.4128  0.0052  0.0364  0.0353  0.0656  0.04
Clidat 1994   6  0.514  0.033  0.214  0.5762  0.0317  0.13
Cohen 1997   63  0.3566  0.0048  0.0547  0.0549  0.0552  0.05
Coop 1987   48  0.4154  0.0054  0.0362  0.0351  0.0660  0.04
Cortot 1951   40  0.4441  0.0028  0.0827  0.2263  0.0432  0.09
Czerny 1949   21  0.475  0.0235  0.0936  0.0961  0.0439  0.06
Czerny 1949b   37  0.4536  0.0037  0.0937  0.0963  0.0437  0.06
Ezaki 2006   50  0.4055  0.0055  0.0358  0.0355  0.0653  0.04
Falvay 1989   55  0.3921  0.0056  0.0357  0.0354  0.0657  0.04
Ferenczy 1958   61  0.3764  0.0060  0.0450  0.0462  0.0461  0.04
Fiorentino 1962   39  0.4438  0.0045  0.0645  0.0652  0.0642  0.06
Fliere 1977   16  0.4813  0.0134  0.0935  0.0960  0.0436  0.06
Fou 1978   23  0.4632  0.0022  0.1018  0.3364  0.0326  0.10
Francois 1956   58  0.3960  0.0049  0.0451  0.0454  0.0564  0.04
Hatto 1997   56  0.3951  0.0047  0.0449  0.0447  0.0645  0.05
Horowitz 1971   2  0.541  0.491  0.482  0.7323  0.291  0.46
Horowitz 1985   7  0.5110  0.018  0.177  0.5520  0.312  0.41
Indjic 2001   54  0.3959  0.0046  0.0546  0.0552  0.0649  0.05
Kapell 1951   35  0.4530  0.0026  0.0728  0.2059  0.0429  0.09
Kiepura 1999   53  0.4048  0.0057  0.0363  0.0344  0.0554  0.04
Kilenyi 1937   24  0.469  0.0138  0.0738  0.0764  0.0346  0.05
Kissin 1993   10  0.4911  0.0111  0.1111  0.4859  0.0510  0.15
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   13  0.4937  0.0013  0.1314  0.4051  0.0516  0.14
Levy 1951   19  0.4725  0.0036  0.1333  0.1360  0.0534  0.08
Luisada 1990   41  0.4319  0.0041  0.0640  0.0661  0.0448  0.05
Lushtak 2004   25  0.4635  0.0029  0.0829  0.1851  0.0627  0.10
Lympany 1968   30  0.4622  0.0020  0.0820  0.3062  0.0422  0.11
Magaloff 1977   45  0.4265  0.0050  0.0454  0.0453  0.0647  0.05
Magaloff 1977b   43  0.4362  0.0043  0.0548  0.0554  0.0650  0.05
Magin 1975   51  0.4018  0.0153  0.0455  0.0463  0.0459  0.04
Milkina 1970   27  0.4631  0.0016  0.0816  0.3951  0.069  0.15
Mohovich 1999   34  0.4524  0.0015  0.0817  0.3841  0.0613  0.15
Nadelmann 1956   14  0.486  0.029  0.209  0.5356  0.057  0.16
Ohlsson 1999   62  0.3652  0.0062  0.0452  0.0451  0.0644  0.05
Olejniczac 1990   38  0.4439  0.0044  0.0643  0.0653  0.0640  0.06
Olejniczak 1991   57  0.3950  0.0058  0.0359  0.0351  0.0658  0.04
Osinska 1989   22  0.4747  0.0030  0.0630  0.1754  0.0624  0.10
Paderewski 1912   26  0.4627  0.0014  0.1313  0.4457  0.0511  0.15
Perahia 1994   59  0.3849  0.0059  0.0356  0.0341  0.0662  0.04
Perlemuter 1986   5  0.528  0.017  0.195  0.5656  0.056  0.17
Poblocka 1999   44  0.4245  0.0051  0.0361  0.0347  0.0655  0.04
Rangell 2001   47  0.4143  0.0042  0.0739  0.0756  0.0643  0.06
Risler 1920   52  0.4026  0.0061  0.0360  0.0358  0.0465  0.03
Rosen 1989   33  0.4517  0.0139  0.0641  0.0663  0.0363  0.04
Rubinstein 1939   3  0.533  0.044  0.146  0.5544  0.064  0.18
Rubinstein 1952   15  0.4844  0.0025  0.0825  0.2538  0.0621  0.12
Rubinstein 1966   28  0.4657  0.0033  0.1034  0.1035  0.0635  0.08
Rummel 1943   9  0.4920  0.006  0.188  0.5353  0.0412  0.15
Shebanova 2002   60  0.3716  0.0163  0.0644  0.0655  0.0638  0.06
Smith 1975   4  0.5215  0.015  0.173  0.5952  0.055  0.17
Szpilman 1948   8  0.5012  0.0110  0.1310  0.4861  0.0415  0.14
Uninsky 1971   18  0.4714  0.0124  0.0824  0.2639  0.0619  0.12
Wasowski 1980   20  0.4742  0.0031  0.0632  0.1561  0.0433  0.08
Weissenberg 1971   36  0.457  0.0118  0.0826  0.2361  0.0425  0.10
Average   1  0.552  0.252  0.461  0.8155  0.063  0.22
Random 1    66  -0.0363  0.0065  0.0265  0.0247  0.0466  0.03
Random 2   64  0.0453  0.0064  0.0453  0.0415  0.3820  0.12
Random 3   65  -0.0156  0.0066  0.0166  0.0118  0.3051  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).