Risler 1920

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.5731  0.0044  0.0648  0.0648  0.0558  0.05
Ashkenazy 1981   37  0.6346  0.0038  0.0838  0.0847  0.0642  0.07
Beliavsky 2004   40  0.6140  0.0040  0.0647  0.0645  0.0746  0.06
BenOr 1989   25  0.6836  0.0030  0.0932  0.2538  0.0830  0.14
Biret 1990   38  0.625  0.0237  0.0936  0.0955  0.0543  0.07
Blet 2003   28  0.676  0.0231  0.1130  0.3024  0.2221  0.26
Block 1995   30  0.6742  0.0029  0.0831  0.3027  0.3320  0.31
Brailowsky 1960   53  0.5523  0.0055  0.0652  0.0643  0.0837  0.07
Chiu 1999   6  0.7514  0.017  0.137  0.5714  0.504  0.53
Clidat 1994   19  0.708  0.0122  0.1318  0.4532  0.1122  0.22
Cohen 1997   63  0.3426  0.0063  0.0556  0.0547  0.0560  0.05
Coop 1987   3  0.7710  0.013  0.443  0.6323  0.386  0.49
Cortot 1951   60  0.4549  0.0061  0.0363  0.0359  0.0466  0.03
Czerny 1949   22  0.7045  0.008  0.138  0.5623  0.3711  0.46
Czerny 1949b   26  0.6837  0.0017  0.1116  0.4734  0.0923  0.21
Ezaki 2006   7  0.7539  0.0010  0.1712  0.5423  0.399  0.46
Falvay 1989   11  0.7211  0.015  0.1410  0.5522  0.407  0.47
Ferenczy 1958   58  0.5055  0.0054  0.0559  0.0545  0.0657  0.05
Fiorentino 1962   15  0.7134  0.0019  0.1020  0.4523  0.3915  0.42
Fliere 1977   12  0.7222  0.0015  0.1514  0.5130  0.1919  0.31
Fou 1978   20  0.7019  0.0124  0.1227  0.3435  0.1026  0.18
Francois 1956   47  0.5830  0.0050  0.0740  0.0751  0.0462  0.05
Hatto 1997   54  0.5352  0.0052  0.0739  0.0737  0.0738  0.07
Horowitz 1971   52  0.5561  0.0056  0.0649  0.0661  0.0461  0.05
Horowitz 1985   59  0.4912  0.0159  0.0462  0.0445  0.0564  0.04
Indjic 2001   55  0.5227  0.0053  0.0744  0.0737  0.0840  0.07
Kapell 1951   8  0.7450  0.009  0.1411  0.5422  0.3812  0.45
Kiepura 1999   43  0.6153  0.0041  0.0742  0.0758  0.0545  0.06
Kilenyi 1937   4  0.7525  0.004  0.266  0.5820  0.495  0.53
Kissin 1993   5  0.7516  0.016  0.114  0.6026  0.2716  0.40
Kitain 1937   61  0.4233  0.0060  0.0561  0.0533  0.0853  0.06
Kushner 1990   29  0.6747  0.0032  0.1629  0.3152  0.0532  0.12
Levy 1951   39  0.6121  0.0043  0.1035  0.1033  0.0935  0.09
Luisada 1990   9  0.734  0.0212  0.209  0.569  0.543  0.55
Lushtak 2004   41  0.6166  0.0039  0.0653  0.0651  0.0650  0.06
Lympany 1968   48  0.5863  0.0051  0.0651  0.0661  0.0363  0.04
Magaloff 1977   23  0.6924  0.0023  0.1119  0.4512  0.498  0.47
Magaloff 1977b   27  0.6828  0.0025  0.1224  0.4120  0.3618  0.38
Magin 1975   17  0.713  0.0313  0.2113  0.5127  0.4110  0.46
Milkina 1970   44  0.6056  0.0046  0.0650  0.0662  0.0455  0.05
Mohovich 1999   36  0.6444  0.0035  0.0837  0.0842  0.0741  0.07
Nadelmann 1956   33  0.657  0.0233  0.1033  0.1039  0.0736  0.08
Ohlsson 1999   34  0.6515  0.0134  0.0745  0.0757  0.0547  0.06
Olejniczac 1990   16  0.7160  0.0020  0.1522  0.4324  0.3817  0.40
Olejniczak 1991   18  0.7148  0.0021  0.1323  0.4340  0.0825  0.19
Osinska 1989   21  0.7041  0.0018  0.0821  0.4450  0.0627  0.16
Paderewski 1912   45  0.6058  0.0049  0.0646  0.0638  0.0649  0.06
Perahia 1994   62  0.4257  0.0062  0.0560  0.0540  0.0659  0.05
Perlemuter 1986   31  0.6738  0.0027  0.1026  0.3445  0.0628  0.14
Poblocka 1999   13  0.7254  0.0014  0.1515  0.4823  0.4113  0.44
Rangell 2001   14  0.7132  0.0016  0.1117  0.4521  0.4414  0.44
Risler 1920   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   42  0.6117  0.0148  0.0558  0.0546  0.0751  0.06
Rubinstein 1939   57  0.5029  0.0058  0.0557  0.0559  0.0465  0.04
Rubinstein 1952   35  0.6418  0.0136  0.1034  0.1045  0.0544  0.07
Rubinstein 1966   50  0.5713  0.0147  0.0743  0.0764  0.0356  0.05
Rummel 1943   46  0.5920  0.0145  0.0655  0.0625  0.1634  0.10
Shebanova 2002   32  0.6551  0.0026  0.0925  0.3547  0.0629  0.14
Smith 1975   24  0.6835  0.0028  0.0828  0.3359  0.0433  0.11
Szpilman 1948   10  0.729  0.0111  0.205  0.5914  0.582  0.58
Uninsky 1971   49  0.5843  0.0042  0.0741  0.0749  0.0548  0.06
Wasowski 1980   56  0.5259  0.0057  0.0654  0.0660  0.0454  0.05
Weissenberg 1971   2  0.791  0.431  0.422  0.689  0.561  0.62
Average   1  0.792  0.252  0.341  0.7649  0.0624  0.21
Random 1    65  0.0064  0.0065  0.0364  0.032  0.5431  0.13
Random 2   64  0.0262  0.0064  0.0365  0.0330  0.1539  0.07
Random 3   66  -0.0465  0.0066  0.0166  0.0113  0.3652  0.06

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).