Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.389  0.0180  0.0380  0.0384  0.0388  0.03
Anderszewski 2003   23  0.5633  0.0022  0.0919  0.5316  0.5620  0.54
Ashkenazy 1981   61  0.4236  0.0069  0.0381  0.0339  0.1872  0.07
Bacha 2000   63  0.4175  0.0064  0.0556  0.0517  0.4156  0.14
Badura 1965   77  0.3571  0.0063  0.0461  0.0435  0.1968  0.09
Barbosa 1983   16  0.5924  0.0013  0.1210  0.639  0.6612  0.64
Biret 1990   31  0.5264  0.0031  0.1029  0.3728  0.3733  0.37
Blet 2003   82  0.3276  0.0083  0.0470  0.0464  0.0483  0.04
Block 1995   55  0.4567  0.0046  0.0651  0.0614  0.5048  0.17
Blumental 1952   36  0.5041  0.0043  0.0643  0.1534  0.3345  0.22
Boshniakovich 1969   41  0.4957  0.0035  0.0835  0.2626  0.3241  0.29
Brailowsky 1960   33  0.5137  0.0036  0.0736  0.2525  0.4735  0.34
Bunin 1987   65  0.4051  0.0066  0.0374  0.0334  0.1773  0.07
Bunin 1987b   74  0.3777  0.0070  0.0373  0.0343  0.1176  0.06
Chiu 1999   62  0.4234  0.0074  0.0465  0.0454  0.0680  0.05
Cohen 1997   58  0.4242  0.0068  0.0379  0.0311  0.3965  0.11
Cortot 1951   83  0.2981  0.0065  0.0468  0.0437  0.2566  0.10
Csalog 1996   43  0.4960  0.0047  0.0749  0.0727  0.3252  0.15
Czerny 1949   10  0.6030  0.006  0.1112  0.6213  0.6910  0.65
Czerny 1990   5  0.6323  0.0014  0.158  0.6513  0.707  0.67
Duchoud 2007   73  0.3872  0.0067  0.0376  0.0312  0.5462  0.13
Ezaki 2006   15  0.5953  0.0021  0.0815  0.5614  0.5518  0.55
Falvay 1989   7  0.6219  0.0019  0.1022  0.5125  0.5123  0.51
Farrell 1958   27  0.5320  0.009  0.1113  0.584  0.748  0.66
Ferenczy 1958   76  0.3668  0.0078  0.0288  0.0251  0.0686  0.03
Fliere 1977   20  0.5810  0.0124  0.1017  0.5416  0.5022  0.52
Fou 1978   17  0.5812  0.0018  0.1120  0.534  0.6217  0.57
Francois 1956   59  0.4278  0.0056  0.0469  0.048  0.5355  0.15
Friedman 1923   56  0.435  0.0244  0.0544  0.144  0.6639  0.30
Friedman 1923b   64  0.4149  0.0045  0.0645  0.124  0.6242  0.27
Friedman 1930   79  0.3546  0.0071  0.0471  0.0439  0.2067  0.09
Garcia 2007   75  0.3661  0.0058  0.0466  0.0420  0.4759  0.14
Garcia 2007b   40  0.5054  0.0032  0.0933  0.317  0.6228  0.44
Gierzod 1998   11  0.6027  0.0023  0.1023  0.4830  0.3530  0.41
Gornostaeva 1994   52  0.4644  0.0053  0.0560  0.0540  0.1869  0.09
Groot 1988   54  0.4526  0.0037  0.0839  0.2020  0.3544  0.26
Harasiewicz 1955   21  0.5711  0.0110  0.1221  0.5119  0.5721  0.54
Hatto 1993   45  0.4850  0.0030  0.0730  0.3629  0.3534  0.35
Hatto 1997   39  0.5085  0.0020  0.0925  0.4523  0.4527  0.45
Horowitz 1949   85  0.2838  0.0085  0.0284  0.0253  0.0585  0.03
Indjic 1988   44  0.4958  0.0029  0.1027  0.3926  0.3832  0.38
Kapell 1951   6  0.638  0.0111  0.1311  0.629  0.6711  0.64
Kissin 1993   18  0.5829  0.0025  0.1324  0.488  0.6915  0.58
Kushner 1989   4  0.6518  0.004  0.284  0.717  0.656  0.68
Luisada 1991   57  0.4325  0.0073  0.0377  0.0343  0.1475  0.06
Lushtak 2004   13  0.5931  0.005  0.155  0.683  0.734  0.70
Malcuzynski 1961   28  0.5335  0.0017  0.1418  0.5415  0.5519  0.54
Magaloff 1978   30  0.5216  0.0039  0.0642  0.1622  0.4143  0.26
Magin 1975   19  0.586  0.017  0.1116  0.547  0.6414  0.59
Michalowski 1933   86  0.2082  0.0086  0.0286  0.0235  0.1877  0.06
Milkina 1970   8  0.6228  0.008  0.117  0.677  0.649  0.65
Mohovich 1999   9  0.6121  0.0012  0.126  0.673  0.715  0.69
Moravec 1969   38  0.5014  0.0062  0.0557  0.0559  0.0678  0.05
Morozova 2008   51  0.4740  0.0042  0.1040  0.2018  0.5037  0.32
Neighaus 1950   67  0.4086  0.0075  0.0655  0.0621  0.4251  0.16
Niedzielski 1931   87  0.1987  0.0088  0.0375  0.0376  0.0484  0.03
Ohlsson 1999   50  0.4752  0.0049  0.0653  0.0618  0.4550  0.16
Osinska 1989   14  0.5955  0.0015  0.2114  0.5720  0.5716  0.57
Pachmann 1927   81  0.3245  0.0077  0.0464  0.0423  0.4161  0.13
Paderewski 1930   88  0.1788  0.0087  0.0382  0.0349  0.0582  0.04
Perlemuter 1992   66  0.4056  0.0079  0.0287  0.0238  0.2271  0.07
Pierdomenico 2008   69  0.3969  0.0059  0.0654  0.0624  0.4647  0.17
Poblocka 1999   12  0.604  0.0216  0.149  0.6310  0.6213  0.62
Rabcewiczowa 1932   48  0.4862  0.0026  0.0831  0.3311  0.4531  0.39
Rachmaninoff 1923   70  0.397  0.0152  0.0750  0.0733  0.2660  0.13
Rangell 2001   46  0.4822  0.0055  0.0559  0.0521  0.4654  0.15
Richter 1976   26  0.5483  0.0033  0.0732  0.3218  0.5829  0.43
Rosen 1989   34  0.5073  0.0051  0.0746  0.0730  0.3153  0.15
Rosenthal 1930   84  0.2959  0.0084  0.0285  0.0276  0.0390  0.02
Rosenthal 1931   72  0.3889  0.0076  0.0463  0.0431  0.2864  0.11
Rosenthal 1931b   78  0.3584  0.0081  0.0283  0.0242  0.1581  0.05
Rosenthal 1931c   68  0.3965  0.0072  0.0378  0.0342  0.1774  0.07
Rosenthal 1931d   80  0.3479  0.0082  0.0372  0.0338  0.2070  0.08
Rossi 2007   60  0.4266  0.0054  0.0467  0.049  0.5158  0.14
Rubinstein 1939   3  0.682  0.193  0.573  0.742  0.802  0.77
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.761  0.451  0.441  0.862  0.861  0.86
Schilhawsky 1960   35  0.5047  0.0041  0.0738  0.2112  0.5636  0.34
Shebanova 2002   29  0.5232  0.0038  0.0737  0.2216  0.4638  0.32
Smith 1975   37  0.5015  0.0050  0.0652  0.0624  0.4149  0.16
Sokolov 2002   53  0.4670  0.0057  0.0462  0.0421  0.4757  0.14
Sztompka 1959   25  0.5517  0.0034  0.0934  0.3110  0.6426  0.45
Tomsic 1995   42  0.4943  0.0061  0.0747  0.0736  0.2163  0.12
Uninsky 1932   49  0.4774  0.0048  0.0748  0.0713  0.6346  0.21
Uninsky 1971   32  0.5263  0.0040  0.0741  0.1925  0.4340  0.29
Wasowski 1980   47  0.4839  0.0060  0.0558  0.0554  0.0679  0.05
Zak 1937   24  0.5613  0.0028  0.0928  0.3915  0.5625  0.47
Zak 1951   22  0.5748  0.0027  0.0826  0.4413  0.5924  0.51
Average   2  0.753  0.182  0.512  0.8414  0.683  0.76
Random 1   90  -0.0690  0.0091  0.0191  0.0143  0.1289  0.03
Random 2   89  0.0291  0.0089  0.0289  0.0248  0.0487  0.03
Random 3   91  -0.0680  0.0090  0.0190  0.0164  0.0391  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).