Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6654  0.0014  0.1913  0.5420  0.4514  0.49
Anderszewski 2003   21  0.5979  0.0035  0.0934  0.1944  0.1038  0.14
Ashkenazy 1981   13  0.619  0.0212  0.166  0.603  0.614  0.60
Bacha 2000   55  0.5066  0.0065  0.0648  0.0648  0.0559  0.05
Badura 1965   36  0.5435  0.0049  0.0562  0.0535  0.3043  0.12
Barbosa 1983   76  0.4063  0.0074  0.0555  0.0577  0.0473  0.04
Biret 1990   50  0.5226  0.0058  0.0556  0.0574  0.0478  0.04
Blet 2003   52  0.5125  0.0051  0.0554  0.0514  0.4039  0.14
Block 1995   57  0.5021  0.0137  0.0537  0.1630  0.2231  0.19
Blumental 1952   73  0.4451  0.0066  0.0473  0.0465  0.0476  0.04
Boshniakovich 1969   3  0.683  0.083  0.204  0.6211  0.583  0.60
Brailowsky 1960   71  0.4561  0.0075  0.0479  0.0470  0.0568  0.04
Bunin 1987   64  0.4836  0.0053  0.0560  0.0517  0.4434  0.15
Bunin 1987b   70  0.4624  0.0057  0.0549  0.0520  0.4036  0.14
Chiu 1999   69  0.4759  0.0067  0.0564  0.0558  0.0560  0.05
Cohen 1997   83  0.3267  0.0082  0.0386  0.0364  0.0483  0.03
Cortot 1951   59  0.4952  0.0052  0.0552  0.0527  0.3940  0.14
Csalog 1996   86  0.3186  0.0079  0.0476  0.0482  0.0381  0.03
Czerny 1949   5  0.687  0.0410  0.1611  0.5615  0.5410  0.55
Czerny 1990   15  0.6043  0.0032  0.0732  0.2454  0.0644  0.12
Duchoud 2007   74  0.4338  0.0071  0.0551  0.0541  0.1551  0.09
Ezaki 2006   66  0.4883  0.0073  0.0558  0.0578  0.0467  0.04
Falvay 1989   78  0.3964  0.0081  0.0384  0.0376  0.0379  0.03
Farrell 1958   31  0.566  0.0521  0.0731  0.2550  0.0741  0.13
Ferenczy 1958   62  0.4839  0.0059  0.0465  0.0437  0.2650  0.10
Fliere 1977   10  0.6468  0.0015  0.1716  0.5144  0.1127  0.24
Fou 1978   49  0.5287  0.0036  0.0535  0.1845  0.0648  0.10
Francois 1956   19  0.6010  0.0226  0.0623  0.352  0.6417  0.47
Friedman 1923   9  0.6430  0.0011  0.1814  0.547  0.588  0.56
Friedman 1923b   8  0.658  0.047  0.1512  0.556  0.626  0.58
Friedman 1930   14  0.6170  0.0024  0.0722  0.3717  0.5119  0.43
Garcia 2007   65  0.4850  0.0072  0.0646  0.0648  0.0658  0.06
Garcia 2007b   45  0.5353  0.0040  0.0439  0.1463  0.0457  0.07
Gierzod 1998   4  0.682  0.084  0.253  0.6924  0.467  0.56
Gornostaeva 1994   27  0.5733  0.0045  0.0470  0.0442  0.1356  0.07
Groot 1988   58  0.5029  0.0042  0.0442  0.1258  0.0553  0.08
Harasiewicz 1955   12  0.6148  0.0019  0.1819  0.4442  0.1526  0.26
Hatto 1993   22  0.594  0.065  0.167  0.5915  0.4115  0.49
Hatto 1997   20  0.5955  0.008  0.1810  0.5717  0.3916  0.47
Horowitz 1949   48  0.5256  0.0039  0.0440  0.1322  0.4628  0.24
Indjic 1988   16  0.6013  0.016  0.189  0.5917  0.4211  0.50
Kapell 1951   54  0.5180  0.0048  0.0466  0.0462  0.0472  0.04
Kissin 1993   11  0.6311  0.0213  0.138  0.5919  0.519  0.55
Kushner 1989   25  0.5857  0.0046  0.0563  0.0556  0.0562  0.05
Luisada 1991   43  0.5344  0.0050  0.0647  0.0645  0.0954  0.07
Lushtak 2004   24  0.5845  0.0023  0.0821  0.3930  0.2923  0.34
Malcuzynski 1961   56  0.5046  0.0043  0.0443  0.0952  0.0555  0.07
Magaloff 1978   53  0.5162  0.0063  0.0474  0.0467  0.0470  0.04
Magin 1975   34  0.5520  0.0131  0.0726  0.3150  0.0542  0.12
Michalowski 1933   44  0.5328  0.0044  0.0444  0.0815  0.4630  0.19
Milkina 1970   47  0.5365  0.0064  0.0559  0.0567  0.0563  0.05
Mohovich 1999   68  0.4884  0.0068  0.0553  0.0564  0.0477  0.04
Moravec 1969   85  0.3285  0.0085  0.0385  0.0387  0.0288  0.02
Morozova 2008   41  0.5427  0.0047  0.0557  0.0549  0.0666  0.05
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   30  0.5723  0.0020  0.0929  0.2719  0.4222  0.34
Ohlsson 1999   6  0.6722  0.009  0.145  0.6011  0.565  0.58
Osinska 1989   18  0.6049  0.0030  0.0628  0.2954  0.0735  0.14
Pachmann 1927   63  0.4869  0.0077  0.0468  0.0432  0.2549  0.10
Paderewski 1930   35  0.5515  0.0129  0.0641  0.134  0.6125  0.28
Perlemuter 1992   42  0.5447  0.0056  0.0550  0.0532  0.2246  0.10
Pierdomenico 2008   72  0.4514  0.0162  0.0478  0.0436  0.2547  0.10
Poblocka 1999   28  0.5734  0.0017  0.1418  0.4727  0.4218  0.44
Rabcewiczowa 1932   60  0.4841  0.0069  0.0745  0.0769  0.0461  0.05
Rachmaninoff 1923   38  0.5416  0.0141  0.0538  0.1562  0.0452  0.08
Rangell 2001   67  0.4818  0.0160  0.0475  0.0428  0.3545  0.12
Richter 1976   29  0.5737  0.0033  0.0930  0.2718  0.5220  0.37
Rosen 1989   51  0.5188  0.0055  0.0467  0.0477  0.0475  0.04
Rosenthal 1930   75  0.4072  0.0076  0.0477  0.0451  0.0474  0.04
Rosenthal 1931   84  0.3273  0.0086  0.0471  0.0472  0.0380  0.03
Rosenthal 1931b   82  0.3389  0.0084  0.0383  0.0378  0.0385  0.03
Rosenthal 1931c   81  0.3474  0.0083  0.0482  0.0477  0.0386  0.03
Rosenthal 1931d   87  0.2875  0.0087  0.0481  0.0483  0.0384  0.03
Rossi 2007   77  0.4076  0.0080  0.0387  0.0355  0.0669  0.04
Rubinstein 1939   61  0.4817  0.0161  0.0480  0.0467  0.0471  0.04
Rubinstein 1952   79  0.3842  0.0070  0.0469  0.0480  0.0387  0.03
Rubinstein 1966   37  0.5440  0.0054  0.0472  0.0457  0.0665  0.05
Schilhawsky 1960   17  0.6012  0.0218  0.2115  0.5120  0.4912  0.50
Shebanova 2002   2  0.715  0.052  0.312  0.718  0.572  0.64
Smith 1975   39  0.5419  0.0134  0.0833  0.2339  0.1729  0.20
Sokolov 2002   32  0.5631  0.0027  0.0727  0.3024  0.3124  0.30
Sztompka 1959   1  0.751  0.381  0.381  0.753  0.671  0.71
Tomsic 1995   80  0.3732  0.0078  0.0561  0.0573  0.0564  0.05
Uninsky 1932   46  0.5358  0.0038  0.0536  0.1641  0.2132  0.18
Uninsky 1971   23  0.5971  0.0016  0.2117  0.4919  0.5013  0.49
Wasowski 1980   26  0.5760  0.0022  0.0720  0.4031  0.3021  0.35
Zak 1937   33  0.5577  0.0025  0.0624  0.3550  0.0733  0.16
Zak 1951   40  0.5478  0.0028  0.0625  0.3157  0.0637  0.14
Random 1   90  -0.1090  0.0088  0.0289  0.0250  0.0482  0.03
Random 2   89  -0.0981  0.0090  0.0190  0.0187  0.0290  0.01
Random 3   88  -0.0882  0.0089  0.0288  0.0277  0.0389  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).