Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3141  0.0061  0.0456  0.0454  0.0562  0.04
Ashkenazy 1981   62  0.2848  0.0060  0.0361  0.0352  0.0663  0.04
Beliavsky 2004   59  0.2939  0.0057  0.0364  0.0354  0.0560  0.04
BenOr 1989   3  0.513  0.025  0.174  0.6119  0.573  0.59
Biret 1990   19  0.4319  0.0025  0.0719  0.3246  0.0637  0.14
Blet 2003   6  0.4812  0.003  0.166  0.5815  0.564  0.57
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   7  0.4640  0.007  0.227  0.5720  0.487  0.52
Chiu 1999   22  0.426  0.0118  0.0818  0.3412  0.4914  0.41
Clidat 1994   25  0.4222  0.0021  0.0822  0.2626  0.2220  0.24
Cohen 1997   56  0.3130  0.0055  0.0739  0.0717  0.4525  0.18
Coop 1987   21  0.4256  0.0022  0.0817  0.3440  0.0732  0.15
Cortot 1951   52  0.3226  0.0063  0.0550  0.0528  0.2739  0.12
Czerny 1949   20  0.4255  0.0015  0.1011  0.4820  0.3515  0.41
Czerny 1949b   35  0.3965  0.0041  0.0834  0.0827  0.2434  0.14
Ezaki 2006   36  0.3945  0.0040  0.0736  0.0734  0.1341  0.10
Falvay 1989   33  0.3938  0.0027  0.0825  0.2149  0.0543  0.10
Ferenczy 1958   29  0.4161  0.0028  0.0629  0.1530  0.2523  0.19
Fiorentino 1962   34  0.3918  0.0014  0.1513  0.4018  0.4513  0.42
Fliere 1977   61  0.2959  0.0062  0.0458  0.0461  0.0459  0.04
Fou 1978   30  0.4134  0.0039  0.0738  0.0729  0.3431  0.15
Francois 1956   57  0.3049  0.0058  0.0359  0.0341  0.0664  0.04
Hatto 1997   23  0.4237  0.0038  0.1033  0.1030  0.1838  0.13
Horowitz 1971   14  0.4328  0.0020  0.0923  0.2518  0.3618  0.30
Horowitz 1985   16  0.4313  0.008  0.179  0.535  0.605  0.56
Indjic 2001   24  0.4223  0.0037  0.0647  0.0643  0.0848  0.07
Kapell 1951   44  0.3753  0.0047  0.0453  0.0434  0.1051  0.06
Kiepura 1999   4  0.4935  0.004  0.163  0.639  0.601  0.61
Kilenyi 1937   54  0.3150  0.0045  0.0835  0.0841  0.0845  0.08
Kissin 1993   15  0.4320  0.0036  0.0643  0.0625  0.3536  0.14
Kitain 1937   63  0.2566  0.0059  0.0363  0.0341  0.0758  0.05
Kushner 1990   41  0.3862  0.0043  0.0737  0.0737  0.0847  0.07
Levy 1951   60  0.2931  0.0056  0.0455  0.0439  0.0753  0.05
Luisada 1990   31  0.4151  0.0019  0.0815  0.3813  0.5411  0.45
Lushtak 2004   13  0.4317  0.0024  0.0721  0.3231  0.1422  0.21
Lympany 1968   39  0.385  0.0130  0.0631  0.1330  0.1929  0.16
Magaloff 1977   32  0.4011  0.0134  0.0642  0.066  0.4727  0.17
Magaloff 1977b   45  0.3632  0.0046  0.0644  0.0612  0.3733  0.15
Magin 1975   11  0.4427  0.0010  0.168  0.5424  0.3910  0.46
Milkina 1970   28  0.418  0.0133  0.0648  0.0653  0.0555  0.05
Mohovich 1999   49  0.3536  0.0053  0.0646  0.0633  0.0949  0.07
Nadelmann 1956   17  0.4360  0.0012  0.1216  0.3535  0.0826  0.17
Ohlsson 1999   42  0.3843  0.0042  0.0649  0.0653  0.0556  0.05
Olejniczac 1990   38  0.384  0.0113  0.1314  0.3822  0.4216  0.40
Olejniczak 1991   37  0.3844  0.0023  0.0827  0.1722  0.2621  0.21
Osinska 1989   2  0.532  0.036  0.242  0.6327  0.379  0.48
Paderewski 1912   58  0.2933  0.0051  0.0360  0.0340  0.0757  0.05
Perahia 1994   9  0.4458  0.0032  0.0632  0.1140  0.0744  0.09
Perlemuter 1986   48  0.3557  0.0049  0.0457  0.0456  0.0561  0.04
Poblocka 1999   27  0.4142  0.0029  0.0628  0.1731  0.1924  0.18
Rangell 2001   47  0.3514  0.0054  0.0740  0.0733  0.0850  0.07
Risler 1920   43  0.3863  0.0026  0.0824  0.228  0.5217  0.34
Rosen 1989   50  0.3454  0.0044  0.0645  0.0627  0.4628  0.17
Rubinstein 1939   40  0.3847  0.0035  0.0641  0.0635  0.0846  0.07
Rubinstein 1952   5  0.4925  0.002  0.275  0.608  0.612  0.60
Rubinstein 1966   12  0.4329  0.0016  0.1120  0.3236  0.0830  0.16
Rummel 1943   53  0.3124  0.0052  0.0551  0.0533  0.0852  0.06
Shebanova 2002   8  0.4516  0.009  0.1410  0.5124  0.3712  0.43
Smith 1975   46  0.3552  0.0050  0.0552  0.0555  0.0554  0.05
Szpilman 1948   51  0.3415  0.0048  0.0454  0.0429  0.2642  0.10
Uninsky 1971   10  0.449  0.0111  0.1512  0.4511  0.558  0.50
Wasowski 1980   18  0.437  0.0117  0.1026  0.2021  0.3319  0.26
Weissenberg 1971   26  0.4110  0.0131  0.0630  0.1329  0.1535  0.14
Average   1  0.651  0.811  0.791  0.9019  0.346  0.55
Random 1    65  0.0064  0.0065  0.0265  0.0248  0.0465  0.03
Random 2   64  0.0221  0.0064  0.0362  0.0312  0.4040  0.11
Random 3   66  -0.0346  0.0066  0.0166  0.0154  0.0366  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).