Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.637  0.0256  0.0549  0.0544  0.0556  0.05
Ashkenazy 1981   2  0.796  0.032  0.242  0.6922  0.442  0.55
Beliavsky 2004   57  0.6049  0.0057  0.0556  0.0559  0.0460  0.04
BenOr 1989   4  0.7713  0.016  0.175  0.5430  0.2111  0.34
Biret 1990   5  0.762  0.063  0.164  0.5928  0.276  0.40
Blet 2003   50  0.6520  0.0025  0.0826  0.2029  0.1523  0.17
Block 1995   45  0.6635  0.0045  0.0554  0.0544  0.0557  0.05
Brailowsky 1960   43  0.6736  0.0037  0.0643  0.0624  0.2534  0.12
Chiu 1999   41  0.6755  0.0043  0.0552  0.0538  0.0746  0.06
Clidat 1994   40  0.6742  0.0049  0.0555  0.0537  0.0655  0.05
Cohen 1997   51  0.6546  0.0051  0.0457  0.0434  0.0850  0.06
Coop 1987   35  0.6854  0.0047  0.0460  0.0455  0.0561  0.04
Cortot 1951   23  0.7159  0.0020  0.0719  0.3424  0.2314  0.28
Czerny 1949   30  0.6956  0.0034  0.0734  0.0737  0.1042  0.08
Czerny 1949b   13  0.733  0.0512  0.1317  0.3622  0.348  0.35
Ezaki 2006   21  0.7130  0.0032  0.0731  0.1448  0.0738  0.10
Falvay 1989   49  0.6650  0.0052  0.0550  0.0554  0.0459  0.04
Ferenczy 1958   48  0.6634  0.0046  0.0640  0.0619  0.3130  0.14
Fiorentino 1962   25  0.6924  0.0023  0.1216  0.3739  0.0727  0.16
Fliere 1977   12  0.7310  0.0211  0.149  0.4728  0.2410  0.34
Fou 1978   18  0.7119  0.0121  0.0812  0.4336  0.1018  0.21
Francois 1956   62  0.4457  0.0062  0.0641  0.0636  0.0845  0.07
Hatto 1997   31  0.6864  0.0044  0.0644  0.0633  0.0943  0.07
Horowitz 1971   33  0.6823  0.0029  0.0632  0.1216  0.3120  0.19
Horowitz 1985   59  0.5527  0.0058  0.0459  0.0442  0.0751  0.05
Indjic 2001   20  0.7152  0.0030  0.0630  0.1534  0.0837  0.11
Kapell 1951   17  0.7243  0.0013  0.0918  0.3640  0.0725  0.16
Kiepura 1999   22  0.7118  0.0142  0.0735  0.0714  0.4322  0.17
Kilenyi 1937   37  0.6732  0.0039  0.0636  0.0636  0.1041  0.08
Kissin 1993   16  0.729  0.0210  0.1210  0.4531  0.1415  0.25
Kitain 1937   61  0.4960  0.0061  0.0645  0.0632  0.1340  0.09
Kushner 1990   53  0.6411  0.0250  0.0548  0.0513  0.4528  0.15
Levy 1951   42  0.6738  0.0040  0.0546  0.0539  0.0747  0.06
Luisada 1990   7  0.754  0.059  0.1411  0.4322  0.434  0.43
Lushtak 2004   38  0.6715  0.0136  0.0638  0.0624  0.2833  0.13
Lympany 1968   46  0.6631  0.0024  0.1025  0.2315  0.4212  0.31
Magaloff 1977   15  0.7221  0.0027  0.1221  0.3038  0.0731  0.14
Magaloff 1977b   19  0.7139  0.0026  0.0723  0.2833  0.0926  0.16
Magin 1975   36  0.6845  0.0053  0.0642  0.0650  0.0552  0.05
Milkina 1970   6  0.7614  0.017  0.177  0.514  0.553  0.53
Mohovich 1999   11  0.7344  0.0019  0.0614  0.3933  0.0821  0.18
Nadelmann 1956   44  0.6733  0.0014  0.0824  0.2727  0.2017  0.23
Ohlsson 1999   32  0.6829  0.0041  0.0553  0.0541  0.0654  0.05
Olejniczac 1990   24  0.7040  0.0022  0.0915  0.3950  0.0532  0.14
Olejniczak 1991   39  0.6751  0.0035  0.0639  0.0646  0.0748  0.06
Osinska 1989   3  0.7717  0.015  0.153  0.6028  0.257  0.39
Paderewski 1912   34  0.6841  0.0033  0.0833  0.0823  0.3524  0.17
Perahia 1994   55  0.6237  0.0048  0.0551  0.0532  0.1044  0.07
Perlemuter 1986   58  0.5728  0.0060  0.0461  0.0433  0.1049  0.06
Poblocka 1999   9  0.748  0.0217  0.0620  0.3350  0.0629  0.14
Rangell 2001   26  0.6922  0.0028  0.0627  0.1937  0.0835  0.12
Risler 1920   60  0.5358  0.0059  0.0362  0.0348  0.0658  0.04
Rosen 1989   28  0.6948  0.0016  0.0728  0.185  0.5513  0.31
Rubinstein 1939   27  0.6926  0.0015  0.0722  0.297  0.545  0.40
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.831  0.531  0.521  0.732  0.771  0.75
Rummel 1943   29  0.6961  0.0038  0.0637  0.0624  0.2236  0.11
Shebanova 2002   52  0.6525  0.0054  0.0458  0.0444  0.0563  0.04
Smith 1975   14  0.7212  0.018  0.136  0.5334  0.1116  0.24
Szpilman 1948   47  0.6647  0.0031  0.0729  0.1535  0.0739  0.10
Uninsky 1971   56  0.6216  0.0155  0.0547  0.0562  0.0362  0.04
Wasowski 1980   10  0.7453  0.0018  0.0613  0.4134  0.0919  0.19
Weissenberg 1971   8  0.745  0.044  0.158  0.4829  0.259  0.35
Random 1    64  -0.0165  0.0063  0.0263  0.0232  0.1353  0.05
Random 2   63  0.0063  0.0064  0.0264  0.0260  0.0364  0.02
Random 3   65  -0.0262  0.0065  0.0265  0.0260  0.0365  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).