Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.5736  0.006  0.129  0.4822  0.447  0.46
Anderszewski 2003   51  0.4443  0.0055  0.0556  0.0560  0.0473  0.04
Ashkenazy 1981   53  0.4374  0.0061  0.0555  0.0570  0.0478  0.04
Bacha 2000   66  0.4162  0.0066  0.0472  0.0457  0.0564  0.04
Badura 1965   73  0.3865  0.0076  0.0386  0.0354  0.0576  0.04
Barbosa 1983   55  0.4315  0.0117  0.0617  0.3825  0.3710  0.37
Biret 1990   1  0.612  0.152  0.192  0.606  0.572  0.58
Blet 2003   63  0.4166  0.0054  0.0464  0.0455  0.0574  0.04
Block 1995   61  0.4164  0.0052  0.0560  0.0570  0.0477  0.04
Blumental 1952   27  0.5063  0.0020  0.0823  0.2921  0.2820  0.28
Boshniakovich 1969   50  0.4575  0.0074  0.0385  0.0380  0.0385  0.03
Brailowsky 1960   68  0.4173  0.0082  0.0382  0.0379  0.0380  0.03
Bunin 1987   67  0.4126  0.0072  0.0467  0.0451  0.0663  0.05
Bunin 1987b   70  0.4034  0.0073  0.0469  0.0464  0.0469  0.04
Chiu 1999   56  0.4327  0.0057  0.0563  0.0551  0.0553  0.05
Cohen 1997   81  0.3652  0.0075  0.0377  0.0321  0.3246  0.10
Cortot 1951   32  0.4944  0.0035  0.0934  0.2015  0.4616  0.30
Csalog 1996   74  0.3854  0.0077  0.0381  0.0347  0.0757  0.05
Czerny 1949   4  0.6011  0.018  0.136  0.5216  0.495  0.50
Czerny 1990   7  0.5823  0.017  0.1011  0.4528  0.2912  0.36
Duchoud 2007   60  0.4260  0.0070  0.0378  0.0354  0.0575  0.04
Ezaki 2006   10  0.5618  0.0114  0.0618  0.3745  0.0734  0.16
Falvay 1989   31  0.4933  0.0031  0.0635  0.1834  0.2228  0.20
Farrell 1958   21  0.5146  0.0018  0.0712  0.4415  0.428  0.43
Ferenczy 1958   38  0.4819  0.0125  0.0830  0.2117  0.4019  0.29
Fliere 1977   25  0.5155  0.0043  0.0542  0.1265  0.0451  0.07
Fou 1978   46  0.4687  0.0038  0.0537  0.1745  0.0842  0.12
Francois 1956   9  0.563  0.144  0.225  0.529  0.574  0.54
Friedman 1923   86  0.2770  0.0085  0.0374  0.0352  0.0679  0.04
Friedman 1923b   87  0.2683  0.0084  0.0380  0.0373  0.0486  0.03
Friedman 1930   64  0.4151  0.0065  0.0465  0.0450  0.0659  0.05
Garcia 2007   78  0.3768  0.0071  0.0470  0.0452  0.0662  0.05
Garcia 2007b   77  0.3786  0.0069  0.0376  0.0364  0.0488  0.03
Gierzod 1998   19  0.5240  0.0021  0.0821  0.3651  0.0540  0.13
Gornostaeva 1994   3  0.614  0.085  0.171  0.629  0.581  0.60
Groot 1988   44  0.4722  0.0142  0.0644  0.1172  0.0352  0.06
Harasiewicz 1955   40  0.4729  0.0030  0.0626  0.2654  0.0545  0.11
Hatto 1993   84  0.3372  0.0078  0.0387  0.0386  0.0387  0.03
Hatto 1997   69  0.4050  0.0048  0.0651  0.0664  0.0460  0.05
Horowitz 1949   80  0.3614  0.0186  0.0375  0.0370  0.0383  0.03
Indjic 1988   83  0.3388  0.0079  0.0466  0.0480  0.0472  0.04
Kapell 1951   6  0.595  0.073  0.234  0.5613  0.426  0.48
Kissin 1993   52  0.4484  0.0063  0.0652  0.0670  0.0456  0.05
Kushner 1989   11  0.5628  0.0012  0.0615  0.4038  0.1723  0.26
Luisada 1991   47  0.4585  0.0058  0.0554  0.0572  0.0465  0.04
Lushtak 2004   37  0.4824  0.0116  0.0614  0.4237  0.1722  0.27
Malcuzynski 1961   41  0.4759  0.0053  0.0557  0.0573  0.0370  0.04
Magaloff 1978   18  0.537  0.0411  0.0629  0.2242  0.1332  0.17
Magin 1975   62  0.4189  0.0056  0.0559  0.0577  0.0367  0.04
Michalowski 1933   36  0.4848  0.0033  0.0528  0.2422  0.3618  0.29
Milkina 1970   24  0.5138  0.0040  0.0633  0.2059  0.0644  0.11
Mohovich 1999   16  0.5410  0.0119  0.0710  0.4736  0.2613  0.35
Moravec 1969   23  0.5116  0.0129  0.0731  0.2117  0.3917  0.29
Morozova 2008   26  0.5037  0.0028  0.0627  0.2551  0.0643  0.12
Neighaus 1950   14  0.5447  0.0024  0.1020  0.3749  0.0638  0.15
Niedzielski 1931   76  0.3857  0.0080  0.0383  0.0366  0.0382  0.03
Ohlsson 1999   35  0.4835  0.0049  0.0650  0.0673  0.0455  0.05
Osinska 1989   5  0.6039  0.009  0.177  0.5131  0.349  0.42
Pachmann 1927   79  0.3730  0.0083  0.0473  0.0457  0.0571  0.04
Paderewski 1930   29  0.5020  0.0134  0.0632  0.2018  0.3124  0.25
Perlemuter 1992   33  0.4981  0.0027  0.0625  0.2732  0.2226  0.24
Pierdomenico 2008   65  0.4180  0.0067  0.0379  0.0359  0.0566  0.04
Poblocka 1999   20  0.5241  0.0026  0.0724  0.2749  0.0639  0.13
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   34  0.488  0.0210  0.0722  0.3033  0.1927  0.24
Rangell 2001   54  0.436  0.0432  0.0441  0.1262  0.0549  0.08
Richter 1976   85  0.2971  0.0087  0.0468  0.0487  0.0284  0.03
Rosen 1989   15  0.5476  0.0013  0.0613  0.4328  0.2714  0.34
Rosenthal 1930   28  0.5012  0.0144  0.0740  0.1318  0.4925  0.25
Rosenthal 1931   72  0.3942  0.0050  0.0558  0.0522  0.4537  0.15
Rosenthal 1931b   75  0.3861  0.0051  0.0845  0.0823  0.4230  0.18
Rosenthal 1931c   43  0.4721  0.0146  0.0747  0.0717  0.4831  0.18
Rosenthal 1931d   71  0.409  0.0247  0.0746  0.0721  0.4033  0.17
Rossi 2007   57  0.4267  0.0059  0.0553  0.0510  0.4636  0.15
Rubinstein 1939   82  0.3549  0.0081  0.0384  0.0366  0.0481  0.03
Rubinstein 1952   42  0.4756  0.0045  0.0748  0.0732  0.2441  0.13
Rubinstein 1966   30  0.5045  0.0039  0.0538  0.1737  0.2329  0.20
Schilhawsky 1960   49  0.4553  0.0062  0.0562  0.0555  0.0558  0.05
Shebanova 2002   45  0.4690  0.0060  0.0561  0.0564  0.0561  0.05
Smith 1975   12  0.5432  0.0015  0.078  0.4928  0.2711  0.36
Sokolov 2002   22  0.5131  0.0041  0.0836  0.1841  0.1435  0.16
Sztompka 1959   2  0.611  0.211  0.213  0.589  0.533  0.55
Tomsic 1995   48  0.4517  0.0137  0.0543  0.1264  0.0547  0.08
Uninsky 1932   17  0.5325  0.0023  0.1019  0.3727  0.3015  0.33
Uninsky 1971   13  0.5413  0.0122  0.0816  0.3835  0.1921  0.27
Wasowski 1980   39  0.4858  0.0036  0.0839  0.1467  0.0450  0.07
Zak 1937   59  0.4278  0.0068  0.0471  0.0479  0.0468  0.04
Zak 1951   58  0.4277  0.0064  0.0649  0.0663  0.0554  0.05
Random 1   90  -0.1169  0.0090  0.0190  0.0181  0.0290  0.01
Random 2   88  0.0279  0.0088  0.0288  0.0218  0.3348  0.08
Random 3   89  -0.0382  0.0089  0.0289  0.0257  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).