Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.5432  0.0013  0.0917  0.4255  0.0527  0.14
Anderszewski 2003   13  0.5116  0.029  0.137  0.5142  0.1212  0.25
Ashkenazy 1981   65  0.3954  0.0045  0.0744  0.1379  0.0346  0.06
Bacha 2000   48  0.4339  0.0048  0.0548  0.0542  0.1534  0.09
Badura 1965   58  0.4115  0.0244  0.0645  0.1363  0.0540  0.08
Barbosa 1983   36  0.4550  0.0024  0.1125  0.3351  0.0626  0.14
Biret 1990   34  0.4665  0.0038  0.0528  0.2757  0.0529  0.12
Blet 2003   26  0.4736  0.0031  0.0522  0.3643  0.1115  0.20
Block 1995   40  0.4417  0.0129  0.0740  0.1661  0.0441  0.08
Blumental 1952   39  0.452  0.113  0.1414  0.4320  0.306  0.36
Boshniakovich 1969   64  0.3982  0.0074  0.0278  0.0288  0.0386  0.02
Brailowsky 1960   16  0.507  0.0316  0.0827  0.2945  0.1020  0.17
Bunin 1987   19  0.4921  0.0125  0.1112  0.4336  0.199  0.29
Bunin 1987b   24  0.4829  0.0026  0.1016  0.4238  0.1611  0.26
Chiu 1999   73  0.3476  0.0070  0.0280  0.0287  0.0379  0.02
Cohen 1997   69  0.3543  0.0054  0.0459  0.0438  0.2239  0.09
Cortot 1951   14  0.5020  0.0111  0.129  0.4717  0.444  0.45
Csalog 1996   25  0.478  0.0328  0.1026  0.2928  0.327  0.30
Czerny 1949   11  0.5137  0.0021  0.0920  0.3841  0.1513  0.24
Czerny 1990   20  0.4842  0.0034  0.0732  0.2482  0.0342  0.08
Duchoud 2007   75  0.3380  0.0076  0.0281  0.0281  0.0385  0.02
Ezaki 2006   4  0.5811  0.0210  0.196  0.5754  0.0617  0.18
Falvay 1989   12  0.513  0.0715  0.0921  0.3763  0.0525  0.14
Farrell 1958   59  0.4130  0.0067  0.0551  0.0578  0.0353  0.04
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   27  0.4686  0.0051  0.0452  0.0488  0.0366  0.03
Fou 1978   43  0.4456  0.0056  0.0461  0.0469  0.0454  0.04
Francois 1956   42  0.4431  0.0052  0.0549  0.0551  0.0552  0.05
Friedman 1923   87  0.2353  0.0088  0.0466  0.0472  0.0465  0.04
Friedman 1923b   88  0.2372  0.0087  0.0375  0.0376  0.0477  0.03
Friedman 1930   81  0.3151  0.0066  0.0368  0.0352  0.0661  0.04
Garcia 2007   79  0.3157  0.0071  0.0279  0.0260  0.0476  0.03
Garcia 2007b   84  0.2973  0.0062  0.0465  0.0482  0.0378  0.03
Gierzod 1998   17  0.4944  0.0032  0.0529  0.2778  0.0337  0.09
Gornostaeva 1994   18  0.4952  0.0035  0.0735  0.2084  0.0247  0.06
Groot 1988   32  0.4681  0.0039  0.0537  0.1856  0.0443  0.08
Harasiewicz 1955   31  0.4628  0.0027  0.1023  0.3578  0.0333  0.10
Hatto 1993   60  0.4169  0.0018  0.0731  0.2468  0.0531  0.11
Hatto 1997   21  0.489  0.037  0.1713  0.4336  0.1710  0.27
Horowitz 1949   71  0.3461  0.0075  0.0373  0.0389  0.0282  0.02
Indjic 1988   50  0.4274  0.0019  0.1133  0.2461  0.0530  0.11
Kapell 1951   2  0.611  0.311  0.311  0.6612  0.441  0.54
Kissin 1993   63  0.3964  0.0073  0.0288  0.0275  0.0474  0.03
Kushner 1989   51  0.4268  0.0065  0.0463  0.0471  0.0455  0.04
Luisada 1991   29  0.4641  0.0037  0.0539  0.1764  0.0536  0.09
Lushtak 2004   15  0.5018  0.0117  0.0811  0.4465  0.0428  0.13
Malcuzynski 1961   55  0.4138  0.0069  0.0369  0.0364  0.0473  0.03
Magaloff 1978   67  0.3833  0.0079  0.0277  0.0269  0.0468  0.03
Magin 1975   82  0.3089  0.0086  0.0376  0.0375  0.0371  0.03
Michalowski 1933   70  0.3477  0.0030  0.0538  0.1843  0.1918  0.18
Milkina 1970   38  0.4546  0.0053  0.0458  0.0475  0.0456  0.04
Mohovich 1999   9  0.5310  0.0314  0.108  0.5047  0.0816  0.20
Moravec 1969   37  0.4514  0.0246  0.0646  0.0642  0.1435  0.09
Morozova 2008   61  0.4026  0.0068  0.0462  0.0482  0.0375  0.03
Neighaus 1950   45  0.4387  0.0043  0.0543  0.1383  0.0348  0.06
Niedzielski 1931   66  0.3848  0.0063  0.0457  0.0470  0.0370  0.03
Ohlsson 1999   56  0.4190  0.0064  0.0647  0.0676  0.0450  0.05
Osinska 1989   7  0.5413  0.0212  0.1215  0.4264  0.0523  0.14
Pachmann 1927   83  0.3083  0.0085  0.0282  0.0284  0.0383  0.02
Paderewski 1930   46  0.4388  0.0047  0.0456  0.0455  0.0558  0.04
Perlemuter 1992   41  0.4466  0.0040  0.0634  0.2158  0.0532  0.10
Pierdomenico 2008   86  0.2963  0.0084  0.0283  0.0283  0.0381  0.02
Poblocka 1999   3  0.614  0.062  0.244  0.5914  0.462  0.52
Rabcewiczowa 1932   23  0.4825  0.0022  0.1018  0.4031  0.218  0.29
Rachmaninoff 1923   74  0.3335  0.0077  0.0286  0.0287  0.0280  0.02
Rangell 2001   77  0.3384  0.0083  0.0284  0.0286  0.0388  0.02
Richter 1976   57  0.4127  0.0059  0.0453  0.0452  0.0649  0.05
Rosen 1989   28  0.4619  0.0141  0.0736  0.1972  0.0438  0.09
Rosenthal 1930   49  0.4249  0.0057  0.0467  0.0456  0.0651  0.05
Rosenthal 1931   72  0.3434  0.0060  0.0550  0.0553  0.0459  0.04
Rosenthal 1931b   80  0.3147  0.0080  0.0374  0.0388  0.0290  0.02
Rosenthal 1931c   62  0.3924  0.0058  0.0464  0.0471  0.0463  0.04
Rosenthal 1931d   76  0.3355  0.0072  0.0287  0.0267  0.0389  0.02
Rossi 2007   85  0.2959  0.0078  0.0285  0.0272  0.0467  0.03
Rubinstein 1939   78  0.3245  0.0082  0.0371  0.0387  0.0369  0.03
Rubinstein 1952   68  0.3675  0.0081  0.0372  0.0363  0.0564  0.04
Rubinstein 1966   33  0.4667  0.0049  0.0455  0.0470  0.0460  0.04
Schilhawsky 1960   22  0.4860  0.0023  0.1019  0.4053  0.0622  0.15
Shebanova 2002   54  0.4185  0.0050  0.0460  0.0454  0.0562  0.04
Smith 1975   6  0.5612  0.026  0.233  0.6323  0.363  0.48
Sokolov 2002   35  0.4523  0.0033  0.0724  0.3351  0.0624  0.14
Sztompka 1959   10  0.5258  0.008  0.1410  0.4643  0.1014  0.21
Tomsic 1995   30  0.4640  0.0036  0.0641  0.1481  0.0444  0.07
Uninsky 1932   44  0.4470  0.0020  0.0730  0.2444  0.1319  0.18
Uninsky 1971   5  0.575  0.064  0.175  0.5930  0.305  0.42
Wasowski 1980   47  0.4322  0.0142  0.0642  0.1487  0.0345  0.06
Zak 1937   52  0.4271  0.0061  0.0370  0.0379  0.0472  0.03
Zak 1951   53  0.4291  0.0055  0.0454  0.0477  0.0457  0.04
Average   1  0.626  0.045  0.252  0.6466  0.0421  0.16
Random 1   91  -0.1178  0.0091  0.0191  0.0187  0.0291  0.01
Random 2   90  -0.0862  0.0090  0.0190  0.0163  0.0384  0.02
Random 3   89  -0.0679  0.0089  0.0289  0.0261  0.0387  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).