Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.6450  0.0049  0.0743  0.0746  0.0558  0.06
Ashkenazy 1981   15  0.7733  0.0016  0.1515  0.5113  0.5316  0.52
Beliavsky 2004   48  0.6748  0.0048  0.0648  0.0619  0.2747  0.13
BenOr 1989   6  0.8013  0.007  0.242  0.744  0.632  0.68
Biret 1990   21  0.7512  0.0117  0.1916  0.5113  0.5714  0.54
Blet 2003   36  0.7127  0.0040  0.0840  0.0815  0.4440  0.19
Block 1995   28  0.7361  0.0037  0.1033  0.1019  0.4336  0.21
Brailowsky 1960   54  0.6263  0.0056  0.0460  0.0432  0.2352  0.10
Chiu 1999   13  0.7822  0.0014  0.1419  0.4519  0.5020  0.47
Clidat 1994   32  0.7237  0.0036  0.0939  0.0912  0.4337  0.20
Cohen 1997   59  0.5444  0.0063  0.0651  0.0640  0.0659  0.06
Coop 1987   2  0.846  0.012  0.244  0.6910  0.663  0.67
Cortot 1951   47  0.6720  0.0050  0.0653  0.069  0.5143  0.17
Czerny 1949   38  0.7047  0.0022  0.0827  0.3016  0.5026  0.39
Czerny 1949b   39  0.7051  0.0023  0.0830  0.2715  0.5525  0.39
Ezaki 2006   4  0.835  0.014  0.289  0.6014  0.587  0.59
Falvay 1989   11  0.802  0.0513  0.2010  0.599  0.646  0.61
Ferenczy 1958   57  0.6062  0.0058  0.0652  0.0629  0.1951  0.11
Fiorentino 1962   19  0.7555  0.0029  0.1425  0.3220  0.4827  0.39
Fliere 1977   20  0.7521  0.0028  0.1028  0.3020  0.4628  0.37
Fou 1978   12  0.788  0.0112  0.2111  0.589  0.588  0.58
Francois 1956   61  0.5223  0.0061  0.0363  0.0341  0.0663  0.04
Hatto 1997   45  0.6917  0.0047  0.0745  0.0722  0.3545  0.16
Horowitz 1971   55  0.6228  0.0054  0.0650  0.0638  0.0660  0.06
Horowitz 1985   60  0.5341  0.0060  0.0457  0.0434  0.1056  0.06
Indjic 2001   40  0.707  0.0144  0.0841  0.0820  0.3742  0.17
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kiepura 1999   50  0.6540  0.0051  0.0554  0.0546  0.0561  0.05
Kilenyi 1937   14  0.7815  0.0010  0.217  0.6016  0.569  0.58
Kissin 1993   8  0.8057  0.0011  0.168  0.6019  0.4117  0.50
Kitain 1937   63  0.4545  0.0062  0.0459  0.0428  0.2053  0.09
Kushner 1990   35  0.7125  0.0039  0.1034  0.106  0.6433  0.25
Levy 1951   30  0.729  0.0121  0.0824  0.3210  0.6221  0.45
Luisada 1990   18  0.7630  0.0020  0.0722  0.3613  0.5223  0.43
Lushtak 2004   42  0.7035  0.0038  0.0938  0.0922  0.3541  0.18
Lympany 1968   43  0.7043  0.0042  0.0647  0.066  0.5838  0.19
Magaloff 1977   23  0.7456  0.0030  0.1326  0.3017  0.4529  0.37
Magaloff 1977b   24  0.7459  0.0031  0.0931  0.2320  0.3931  0.30
Magin 1975   9  0.8014  0.008  0.1713  0.5419  0.5912  0.56
Milkina 1970   44  0.7018  0.0046  0.0746  0.0728  0.2149  0.12
Mohovich 1999   26  0.7338  0.0026  0.1123  0.349  0.5922  0.45
Nadelmann 1956   31  0.7210  0.0125  0.1020  0.425  0.6018  0.50
Ohlsson 1999   22  0.7452  0.0033  0.0936  0.097  0.5535  0.22
Olejniczac 1990   17  0.7760  0.0018  0.0818  0.4515  0.5519  0.50
Olejniczak 1991   16  0.7754  0.0015  0.1914  0.5314  0.5613  0.54
Osinska 1989   10  0.8034  0.009  0.155  0.6616  0.5010  0.57
Paderewski 1912   49  0.6636  0.0043  0.0649  0.0621  0.2848  0.13
Perahia 1994   62  0.5258  0.0059  0.0461  0.0459  0.0462  0.04
Perlemuter 1986   53  0.634  0.0257  0.0556  0.0534  0.0857  0.06
Poblocka 1999   7  0.803  0.026  0.2612  0.5613  0.5811  0.57
Rangell 2001   5  0.8239  0.005  0.226  0.654  0.665  0.65
Risler 1920   41  0.7046  0.0034  0.1035  0.109  0.5434  0.23
Rosen 1989   52  0.6442  0.0055  0.0362  0.0327  0.2054  0.08
Rubinstein 1939   58  0.5729  0.0053  0.0458  0.0432  0.1155  0.07
Rubinstein 1952   34  0.7111  0.0127  0.1229  0.2717  0.4730  0.36
Rubinstein 1966   46  0.6826  0.0045  0.0744  0.0718  0.3744  0.16
Rummel 1943   56  0.6024  0.0052  0.0555  0.0522  0.2750  0.12
Shebanova 2002   29  0.7253  0.0035  0.0742  0.0721  0.3046  0.14
Smith 1975   27  0.7349  0.0024  0.0921  0.3715  0.4424  0.40
Szpilman 1948   25  0.7419  0.0019  0.1017  0.4510  0.6115  0.52
Uninsky 1971   37  0.7131  0.0032  0.1032  0.1924  0.3832  0.27
Wasowski 1980   33  0.7232  0.0041  0.0937  0.0916  0.4239  0.19
Weissenberg 1971   3  0.8316  0.003  0.253  0.696  0.614  0.65
Average   1  0.871  0.791  0.781  0.8911  0.531  0.69
Random 1    65  -0.0366  0.0065  0.0265  0.0241  0.0464  0.03
Random 2   64  0.0164  0.0064  0.0364  0.0364  0.0265  0.02
Random 3   66  -0.0465  0.0066  0.0166  0.0144  0.0466  0.02

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).