Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6345  0.0016  0.1112  0.4430  0.168  0.27
Ashkenazy 1981   12  0.6315  0.0022  0.0820  0.3750  0.0625  0.15
Beliavsky 2004   32  0.5811  0.0015  0.0917  0.3932  0.1113  0.21
BenOr 1989   26  0.6057  0.0033  0.0739  0.0746  0.0646  0.06
Biret 1990   8  0.6430  0.009  0.1415  0.4022  0.296  0.34
Blet 2003   46  0.5434  0.0032  0.0632  0.1138  0.0635  0.08
Block 1995   55  0.5042  0.0053  0.0457  0.0454  0.0461  0.04
Brailowsky 1960   42  0.5651  0.0050  0.0547  0.0553  0.0648  0.05
Chiu 1999   58  0.4833  0.0052  0.0552  0.0558  0.0458  0.04
Clidat 1994   16  0.6218  0.0017  0.1310  0.4654  0.0524  0.15
Cohen 1997   56  0.5027  0.0037  0.0735  0.0714  0.5016  0.19
Coop 1987   47  0.5421  0.0034  0.0834  0.0858  0.0440  0.06
Cortot 1951   51  0.5148  0.0049  0.0642  0.0631  0.2132  0.11
Czerny 1949   23  0.6112  0.0026  0.0825  0.2547  0.0630  0.12
Czerny 1949b   24  0.617  0.0128  0.0927  0.2032  0.1319  0.16
Ezaki 2006   50  0.5116  0.0056  0.0740  0.0761  0.0447  0.05
Falvay 1989   60  0.4536  0.0060  0.0362  0.0361  0.0462  0.03
Ferenczy 1958   62  0.4561  0.0062  0.0549  0.0557  0.0553  0.05
Fiorentino 1962   40  0.5749  0.0046  0.0646  0.0656  0.0645  0.06
Fliere 1977   20  0.6235  0.0025  0.0624  0.2738  0.0821  0.15
Fou 1978   41  0.5617  0.0044  0.0643  0.0661  0.0551  0.05
Francois 1956   30  0.5926  0.0031  0.0631  0.1354  0.0438  0.07
Hatto 1997   21  0.6243  0.0013  0.1016  0.4048  0.0623  0.15
Horowitz 1971   15  0.6337  0.0020  0.1022  0.3338  0.0629  0.14
Horowitz 1985   22  0.6165  0.0027  0.0726  0.2214  0.467  0.32
Indjic 2001   19  0.6210  0.0012  0.1313  0.4235  0.0818  0.18
Kapell 1951   52  0.5138  0.0051  0.0555  0.0559  0.0459  0.04
Kiepura 1999   36  0.5723  0.0047  0.0550  0.0561  0.0455  0.04
Kilenyi 1937   54  0.5064  0.0057  0.0459  0.0460  0.0560  0.04
Kissin 1993   10  0.635  0.028  0.195  0.6343  0.0615  0.19
Kitain 1937   57  0.5020  0.0038  0.0737  0.0711  0.5217  0.19
Kushner 1990   5  0.6846  0.005  0.227  0.5933  0.109  0.24
Levy 1951   44  0.5552  0.0042  0.0551  0.0536  0.0649  0.05
Luisada 1990   35  0.5831  0.0043  0.0553  0.0557  0.0554  0.05
Lushtak 2004   28  0.5955  0.0023  0.0923  0.3246  0.0628  0.14
Lympany 1968   27  0.596  0.0121  0.0921  0.3551  0.0626  0.14
Magaloff 1977   29  0.5958  0.0041  0.0645  0.0641  0.0742  0.06
Magaloff 1977b   38  0.5753  0.0048  0.0736  0.0748  0.0644  0.06
Magin 1975   48  0.5413  0.0055  0.0554  0.0551  0.0650  0.05
Milkina 1970   3  0.732  0.092  0.373  0.7712  0.583  0.67
Mohovich 1999   14  0.6325  0.0010  0.158  0.5136  0.0814  0.20
Nadelmann 1956   6  0.6719  0.007  0.1911  0.4631  0.1211  0.23
Ohlsson 1999   49  0.5224  0.0035  0.0833  0.0860  0.0441  0.06
Olejniczac 1990   37  0.5740  0.0045  0.0738  0.0754  0.0543  0.06
Olejniczak 1991   33  0.5832  0.0040  0.0548  0.0541  0.0839  0.06
Osinska 1989   4  0.6914  0.006  0.264  0.6440  0.0810  0.23
Paderewski 1912   31  0.5839  0.0030  0.0928  0.1949  0.0533  0.10
Perahia 1994   7  0.669  0.014  0.216  0.595  0.694  0.64
Perlemuter 1986   11  0.634  0.0214  0.109  0.4853  0.0522  0.15
Poblocka 1999   45  0.5462  0.0054  0.0556  0.0560  0.0456  0.04
Rangell 2001   43  0.5522  0.0024  0.0730  0.1556  0.0534  0.09
Risler 1920   53  0.5028  0.0058  0.0458  0.0456  0.0557  0.04
Rosen 1989   59  0.4741  0.0061  0.0460  0.0462  0.0365  0.03
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.753  0.023  0.562  0.828  0.592  0.70
Rubinstein 1966   1  0.801  0.761  0.751  0.903  0.811  0.85
Rummel 1943   34  0.5844  0.0029  0.0729  0.1725  0.1520  0.16
Shebanova 2002   17  0.628  0.0119  0.0918  0.3752  0.0527  0.14
Smith 1975   9  0.6450  0.0011  0.1814  0.4031  0.1212  0.22
Szpilman 1948   25  0.6056  0.0039  0.0641  0.0638  0.0836  0.07
Uninsky 1971   39  0.5747  0.0036  0.0644  0.0660  0.0452  0.05
Wasowski 1980   18  0.6229  0.0018  0.1019  0.3720  0.315  0.34
Weissenberg 1971   61  0.4554  0.0059  0.0361  0.0359  0.0463  0.03
Random 1    65  -0.0363  0.0065  0.0265  0.0221  0.2337  0.07
Random 2   64  0.0260  0.0063  0.0264  0.0250  0.0564  0.03
Random 3   63  0.0359  0.0064  0.0263  0.022  0.6731  0.12

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).