Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.6222  0.0018  0.0721  0.3544  0.0529  0.13
Ashkenazy 1981   9  0.6538  0.0011  0.1311  0.5141  0.0816  0.20
Beliavsky 2004   19  0.624  0.0312  0.1214  0.4629  0.189  0.29
BenOr 1989   20  0.6214  0.0133  0.1033  0.1057  0.0444  0.06
Biret 1990   13  0.645  0.0214  0.1316  0.4331  0.1612  0.26
Blet 2003   39  0.5849  0.0037  0.0737  0.0753  0.0450  0.05
Block 1995   48  0.5728  0.0042  0.0739  0.0745  0.0643  0.06
Brailowsky 1960   12  0.6425  0.0019  0.0823  0.3319  0.445  0.38
Chiu 1999   54  0.5551  0.0052  0.0362  0.0361  0.0464  0.03
Clidat 1994   8  0.652  0.085  0.208  0.5725  0.1410  0.28
Cohen 1997   57  0.5335  0.0028  0.0631  0.1212  0.4015  0.22
Coop 1987   41  0.5821  0.0041  0.0738  0.0752  0.0638  0.06
Cortot 1951   32  0.5939  0.0038  0.0740  0.0732  0.1833  0.11
Czerny 1949   11  0.658  0.0110  0.1918  0.3747  0.0723  0.16
Czerny 1949b   10  0.659  0.019  0.1710  0.5329  0.267  0.37
Ezaki 2006   59  0.5342  0.0060  0.0452  0.0459  0.0556  0.04
Falvay 1989   55  0.5412  0.0159  0.0458  0.0457  0.0558  0.04
Ferenczy 1958   52  0.5664  0.0047  0.0455  0.0441  0.0751  0.05
Fiorentino 1962   35  0.5960  0.0045  0.0457  0.0458  0.0563  0.04
Fliere 1977   4  0.6710  0.017  0.139  0.5548  0.0618  0.18
Fou 1978   43  0.5740  0.0036  0.0741  0.0743  0.0736  0.07
Francois 1956   61  0.5141  0.0061  0.0448  0.0447  0.0655  0.05
Hatto 1997   18  0.6331  0.0024  0.0917  0.3835  0.0821  0.17
Horowitz 1971   14  0.6318  0.0016  0.1013  0.4623  0.316  0.38
Horowitz 1985   29  0.6043  0.0029  0.0629  0.1412  0.4711  0.26
Indjic 2001   17  0.6327  0.0022  0.1215  0.4455  0.0525  0.15
Kapell 1951   47  0.5715  0.0130  0.0632  0.1157  0.0537  0.07
Kiepura 1999   40  0.5853  0.0055  0.0361  0.0339  0.0657  0.04
Kilenyi 1937   53  0.5565  0.0053  0.0456  0.0449  0.0652  0.05
Kissin 1993   16  0.6313  0.0113  0.157  0.5854  0.0520  0.17
Kitain 1937   58  0.5316  0.0134  0.0643  0.065  0.5519  0.18
Kushner 1990   28  0.6017  0.0017  0.0725  0.3146  0.0626  0.14
Levy 1951   24  0.6129  0.0032  0.0730  0.1332  0.1130  0.12
Luisada 1990   45  0.5724  0.0054  0.0459  0.0450  0.0653  0.05
Lushtak 2004   37  0.5959  0.0040  0.0836  0.0855  0.0542  0.06
Lympany 1968   25  0.6111  0.0125  0.1019  0.3652  0.0528  0.13
Magaloff 1977   42  0.5846  0.0044  0.0453  0.0455  0.0560  0.04
Magaloff 1977b   51  0.5652  0.0051  0.0450  0.0455  0.0562  0.04
Magin 1975   50  0.5736  0.0057  0.0546  0.0558  0.0548  0.05
Milkina 1970   3  0.696  0.023  0.303  0.6514  0.483  0.56
Mohovich 1999   23  0.6120  0.0015  0.1012  0.4755  0.0427  0.14
Nadelmann 1956   5  0.677  0.024  0.254  0.6222  0.304  0.43
Ohlsson 1999   46  0.5723  0.0048  0.0644  0.0652  0.0549  0.05
Olejniczac 1990   33  0.5948  0.0046  0.0742  0.0757  0.0541  0.06
Olejniczak 1991   49  0.5761  0.0050  0.0547  0.0553  0.0647  0.05
Osinska 1989   6  0.6626  0.008  0.135  0.6149  0.0617  0.19
Paderewski 1912   30  0.5934  0.0026  0.1222  0.3442  0.0724  0.15
Perahia 1994   36  0.5933  0.0027  0.0727  0.1923  0.3013  0.24
Perlemuter 1986   31  0.5954  0.0035  0.0835  0.0856  0.0539  0.06
Poblocka 1999   34  0.5950  0.0043  0.0449  0.0444  0.0645  0.05
Rangell 2001   56  0.5456  0.0049  0.0454  0.0452  0.0654  0.05
Risler 1920   62  0.4937  0.0062  0.0645  0.0660  0.0446  0.05
Rosen 1989   44  0.5744  0.0056  0.0451  0.0458  0.0461  0.04
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.723  0.072  0.442  0.797  0.602  0.69
Rubinstein 1966   1  0.751  0.641  0.631  0.844  0.761  0.80
Rummel 1943   27  0.6047  0.0023  0.0824  0.3220  0.308  0.31
Shebanova 2002   38  0.5845  0.0039  0.0834  0.0859  0.0540  0.06
Smith 1975   7  0.6619  0.006  0.196  0.5841  0.0814  0.22
Szpilman 1948   22  0.6132  0.0031  0.0628  0.1654  0.0534  0.09
Uninsky 1971   26  0.6055  0.0021  0.0926  0.2861  0.0431  0.11
Wasowski 1980   15  0.6330  0.0020  0.0920  0.3640  0.0722  0.16
Weissenberg 1971   60  0.5363  0.0058  0.0460  0.0461  0.0459  0.04
Random 1    65  -0.0158  0.0065  0.0265  0.0213  0.3135  0.08
Random 2   63  0.0257  0.0063  0.0263  0.0242  0.0565  0.03
Random 3   64  0.0162  0.0064  0.0264  0.025  0.5732  0.11

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).