Kitain 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4347  0.0011  0.1112  0.4640  0.066  0.17
Ashkenazy 1981   10  0.4916  0.0116  0.1014  0.4253  0.068  0.16
Beliavsky 2004   30  0.4633  0.0026  0.0821  0.3362  0.0331  0.10
BenOr 1989   11  0.4926  0.0018  0.0717  0.3760  0.0423  0.12
Biret 1990   28  0.4660  0.0031  0.0830  0.2348  0.0624  0.12
Blet 2003   31  0.4642  0.0020  0.0923  0.3062  0.0427  0.11
Block 1995   45  0.4212  0.0139  0.0641  0.0646  0.0642  0.06
Brailowsky 1960   16  0.4819  0.0122  0.0818  0.3551  0.0517  0.13
Chiu 1999   48  0.4131  0.0051  0.0363  0.0352  0.0656  0.04
Clidat 1994   5  0.515  0.032  0.213  0.5761  0.0318  0.13
Cohen 1997   62  0.3565  0.0047  0.0546  0.0548  0.0552  0.05
Coop 1987   47  0.4152  0.0053  0.0361  0.0350  0.0660  0.04
Cortot 1951   39  0.4445  0.0027  0.0826  0.2562  0.0432  0.10
Czerny 1949   20  0.474  0.0334  0.0935  0.0960  0.0439  0.06
Czerny 1949b   36  0.4540  0.0036  0.0936  0.0962  0.0437  0.06
Ezaki 2006   49  0.4051  0.0054  0.0357  0.0354  0.0653  0.04
Falvay 1989   54  0.3925  0.0055  0.0356  0.0353  0.0657  0.04
Ferenczy 1958   60  0.3763  0.0059  0.0449  0.0461  0.0461  0.04
Fiorentino 1962   38  0.4438  0.0044  0.0644  0.0651  0.0643  0.06
Fliere 1977   15  0.488  0.0133  0.0934  0.0959  0.0436  0.06
Fou 1978   22  0.4632  0.0021  0.1019  0.3563  0.0329  0.10
Francois 1956   57  0.3959  0.0048  0.0450  0.0453  0.0563  0.04
Hatto 1997   55  0.3954  0.0046  0.0448  0.0446  0.0646  0.05
Horowitz 1971   1  0.541  0.591  0.581  0.7322  0.321  0.48
Horowitz 1985   6  0.5111  0.017  0.186  0.5517  0.362  0.44
Indjic 2001   53  0.3957  0.0045  0.0545  0.0551  0.0650  0.05
Kapell 1951   34  0.4535  0.0025  0.0727  0.2458  0.0430  0.10
Kiepura 1999   52  0.4049  0.0056  0.0362  0.0343  0.0654  0.04
Kilenyi 1937   23  0.469  0.0137  0.0737  0.0763  0.0347  0.05
Kissin 1993   9  0.4913  0.0110  0.1210  0.4858  0.0511  0.15
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   12  0.4941  0.0012  0.1313  0.4450  0.0510  0.15
Levy 1951   18  0.4729  0.0035  0.1433  0.1459  0.0534  0.08
Luisada 1990   40  0.4321  0.0140  0.0739  0.0760  0.0541  0.06
Lushtak 2004   24  0.4624  0.0028  0.0829  0.2350  0.0622  0.12
Lympany 1968   29  0.4623  0.0019  0.0822  0.3161  0.0425  0.11
Magaloff 1977   44  0.4264  0.0049  0.0453  0.0452  0.0648  0.05
Magaloff 1977b   42  0.4361  0.0042  0.0547  0.0553  0.0651  0.05
Magin 1975   50  0.4022  0.0152  0.0454  0.0462  0.0459  0.04
Milkina 1970   26  0.4636  0.0015  0.0915  0.4050  0.069  0.15
Mohovich 1999   33  0.4528  0.0014  0.0816  0.3940  0.0614  0.15
Nadelmann 1956   13  0.487  0.028  0.218  0.5355  0.057  0.16
Ohlsson 1999   61  0.3653  0.0061  0.0451  0.0450  0.0645  0.05
Olejniczac 1990   37  0.4437  0.0043  0.0642  0.0652  0.0640  0.06
Olejniczak 1991   56  0.3948  0.0057  0.0358  0.0350  0.0658  0.04
Osinska 1989   21  0.4746  0.0029  0.0628  0.2353  0.0620  0.12
Paderewski 1912   25  0.4627  0.0013  0.1311  0.4656  0.0512  0.15
Perahia 1994   58  0.3850  0.0058  0.0455  0.0440  0.0649  0.05
Perlemuter 1986   4  0.522  0.086  0.194  0.5755  0.055  0.17
Poblocka 1999   43  0.4239  0.0050  0.0360  0.0346  0.0655  0.04
Rangell 2001   46  0.4134  0.0041  0.0738  0.0755  0.0644  0.06
Risler 1920   51  0.4030  0.0060  0.0359  0.0357  0.0464  0.03
Rosen 1989   32  0.4517  0.0138  0.0640  0.0662  0.0362  0.04
Rubinstein 1939   2  0.533  0.053  0.145  0.5543  0.063  0.18
Rubinstein 1952   14  0.4844  0.0024  0.0824  0.2937  0.0619  0.13
Rubinstein 1966   27  0.4655  0.0032  0.1032  0.1935  0.0628  0.11
Rummel 1943   8  0.4920  0.015  0.187  0.5452  0.0413  0.15
Shebanova 2002   59  0.3718  0.0162  0.0643  0.0654  0.0638  0.06
Smith 1975   3  0.5215  0.014  0.172  0.5951  0.054  0.17
Szpilman 1948   7  0.5014  0.019  0.139  0.4960  0.0415  0.14
Uninsky 1971   17  0.4710  0.0123  0.0820  0.3339  0.0616  0.14
Wasowski 1980   19  0.4743  0.0030  0.0631  0.2160  0.0433  0.09
Weissenberg 1971   35  0.456  0.0217  0.0825  0.2860  0.0426  0.11
Random 1    65  -0.0362  0.0064  0.0264  0.0256  0.0365  0.02
Random 2   63  0.0456  0.0063  0.0452  0.0415  0.3921  0.12
Random 3   64  -0.0158  0.0065  0.0265  0.0218  0.3035  0.08

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).