Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.614  0.024  0.204  0.6525  0.398  0.50
Anderszewski 2003   62  0.4225  0.0044  0.0544  0.1175  0.0353  0.06
Ashkenazy 1981   59  0.4352  0.0042  0.0638  0.2362  0.0444  0.10
Bacha 2000   67  0.4178  0.0070  0.0460  0.0453  0.0658  0.05
Badura 1965   68  0.4079  0.0068  0.0455  0.0458  0.0572  0.04
Barbosa 1983   46  0.4780  0.0048  0.0646  0.0645  0.0952  0.07
Biret 1990   19  0.556  0.029  0.149  0.6115  0.446  0.52
Blet 2003   43  0.4948  0.0050  0.0548  0.0568  0.0468  0.04
Block 1995   73  0.3884  0.0084  0.0288  0.0286  0.0290  0.02
Blumental 1952   79  0.3551  0.0051  0.0456  0.0471  0.0473  0.04
Boshniakovich 1969   50  0.4649  0.0061  0.0463  0.0480  0.0474  0.04
Brailowsky 1960   63  0.4285  0.0085  0.0381  0.0382  0.0379  0.03
Bunin 1987   48  0.4644  0.0063  0.0458  0.0448  0.0662  0.05
Bunin 1987b   51  0.4576  0.0064  0.0372  0.0349  0.0665  0.04
Chiu 1999   72  0.3873  0.0071  0.0457  0.0470  0.0464  0.04
Cohen 1997   82  0.3311  0.0182  0.0386  0.0323  0.3145  0.10
Cortot 1951   60  0.4281  0.0060  0.0371  0.0358  0.0577  0.04
Csalog 1996   69  0.3963  0.0062  0.0459  0.0460  0.0567  0.04
Czerny 1949   2  0.652  0.082  0.262  0.747  0.661  0.70
Czerny 1990   6  0.6153  0.008  0.216  0.6323  0.3711  0.48
Duchoud 2007   57  0.4320  0.0073  0.0462  0.0474  0.0471  0.04
Ezaki 2006   13  0.5633  0.0020  0.0817  0.4937  0.2321  0.34
Falvay 1989   17  0.5524  0.0021  0.0911  0.5622  0.4310  0.49
Farrell 1958   38  0.5038  0.0032  0.0829  0.3820  0.3814  0.38
Ferenczy 1958   53  0.4421  0.0053  0.0551  0.0549  0.0561  0.05
Fliere 1977   23  0.5482  0.0036  0.0832  0.2983  0.0346  0.09
Fou 1978   31  0.5116  0.0111  0.1224  0.4433  0.2522  0.33
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   87  0.2760  0.0076  0.0365  0.0377  0.0489  0.03
Friedman 1923b   88  0.2742  0.0075  0.0385  0.0366  0.0575  0.04
Friedman 1930   70  0.3955  0.0065  0.0464  0.0444  0.1054  0.06
Garcia 2007   86  0.2870  0.0086  0.0380  0.0362  0.0486  0.03
Garcia 2007b   85  0.2845  0.0078  0.0383  0.0372  0.0488  0.03
Gierzod 1998   22  0.5574  0.0027  0.0925  0.4347  0.0732  0.17
Gornostaeva 1994   3  0.6314  0.016  0.155  0.6421  0.503  0.57
Groot 1988   8  0.605  0.027  0.177  0.629  0.494  0.55
Harasiewicz 1955   37  0.5037  0.0028  0.1026  0.4157  0.0534  0.14
Hatto 1993   84  0.3083  0.0077  0.0373  0.0377  0.0487  0.03
Hatto 1997   76  0.3769  0.0045  0.0545  0.0980  0.0455  0.06
Horowitz 1949   65  0.4164  0.0059  0.0368  0.0372  0.0383  0.03
Indjic 1988   83  0.3291  0.0074  0.0382  0.0385  0.0385  0.03
Kapell 1951   14  0.5646  0.0024  0.1030  0.3762  0.0437  0.12
Kissin 1993   32  0.5159  0.0037  0.0635  0.2550  0.0638  0.12
Kushner 1989   12  0.5675  0.0013  0.1219  0.4933  0.2618  0.36
Luisada 1991   56  0.4462  0.0054  0.0452  0.0470  0.0463  0.04
Lushtak 2004   39  0.5068  0.0022  0.0822  0.4636  0.2126  0.31
Malcuzynski 1961   20  0.5536  0.0035  0.0637  0.2452  0.0539  0.11
Magaloff 1978   16  0.5530  0.0026  0.0923  0.4528  0.2719  0.35
Magin 1975   64  0.4232  0.0043  0.0840  0.1848  0.0643  0.10
Michalowski 1933   74  0.3847  0.0072  0.0378  0.0354  0.0666  0.04
Milkina 1970   9  0.5822  0.0018  0.0915  0.5238  0.2420  0.35
Mohovich 1999   10  0.5628  0.0015  0.1213  0.5431  0.3412  0.43
Moravec 1969   28  0.5366  0.0047  0.0647  0.0631  0.2336  0.12
Morozova 2008   54  0.4471  0.0038  0.0536  0.2553  0.0541  0.11
Neighaus 1950   5  0.6113  0.013  0.223  0.6915  0.482  0.58
Niedzielski 1931   45  0.4727  0.0055  0.0370  0.0349  0.0482  0.03
Ohlsson 1999   26  0.5429  0.0033  0.0831  0.3642  0.1331  0.22
Osinska 1989   7  0.6115  0.0110  0.168  0.6128  0.409  0.49
Pachmann 1927   66  0.4186  0.0081  0.0384  0.0347  0.0759  0.05
Paderewski 1930   34  0.5119  0.0040  0.0641  0.185  0.4727  0.29
Perlemuter 1992   18  0.558  0.0214  0.1312  0.5410  0.477  0.50
Pierdomenico 2008   47  0.4634  0.0031  0.0734  0.289  0.5016  0.37
Poblocka 1999   44  0.4867  0.0056  0.0453  0.0486  0.0380  0.03
Rabcewiczowa 1932   11  0.563  0.025  0.1510  0.576  0.525  0.54
Rachmaninoff 1923   30  0.5217  0.0129  0.1028  0.3837  0.1330  0.22
Rangell 2001   61  0.4287  0.0069  0.0376  0.0365  0.0576  0.04
Richter 1976   80  0.3472  0.0088  0.0461  0.0482  0.0384  0.03
Rosen 1989   25  0.5410  0.0112  0.1521  0.4825  0.3513  0.41
Rosenthal 1930   49  0.4688  0.0067  0.0369  0.0343  0.1357  0.06
Rosenthal 1931   78  0.3590  0.0083  0.0387  0.0340  0.2150  0.08
Rosenthal 1931b   77  0.3640  0.0079  0.0379  0.0330  0.3048  0.09
Rosenthal 1931c   55  0.4461  0.0066  0.0366  0.0328  0.3742  0.11
Rosenthal 1931d   71  0.3943  0.0080  0.0377  0.0331  0.2451  0.08
Rossi 2007   75  0.377  0.0252  0.0454  0.0416  0.4235  0.13
Rubinstein 1939   81  0.3454  0.0087  0.0367  0.0376  0.0481  0.03
Rubinstein 1952   29  0.5226  0.0030  0.0833  0.2927  0.3525  0.32
Rubinstein 1966   35  0.5139  0.0041  0.0642  0.1656  0.0740  0.11
Schilhawsky 1960   41  0.4941  0.0049  0.0550  0.0552  0.0660  0.05
Shebanova 2002   42  0.4977  0.0046  0.0549  0.0586  0.0370  0.04
Smith 1975   15  0.5631  0.0019  0.0820  0.4827  0.2915  0.37
Sokolov 2002   24  0.5412  0.0125  0.0718  0.4932  0.2617  0.36
Sztompka 1959   21  0.5565  0.0023  0.0816  0.5040  0.1329  0.25
Tomsic 1995   36  0.5123  0.0039  0.0639  0.2325  0.3028  0.26
Uninsky 1932   58  0.4357  0.0057  0.0375  0.0359  0.0669  0.04
Uninsky 1971   40  0.5050  0.0034  0.0543  0.1365  0.0549  0.08
Wasowski 1980   52  0.4535  0.0058  0.0374  0.0365  0.0478  0.03
Zak 1937   33  0.5118  0.0117  0.1127  0.3962  0.0533  0.14
Zak 1951   27  0.539  0.0116  0.1414  0.5242  0.2023  0.32
Average   1  0.691  0.641  0.631  0.8345  0.1224  0.32
Random 1   91  -0.0989  0.0091  0.0191  0.0180  0.0291  0.01
Random 2   89  -0.0256  0.0090  0.0289  0.0238  0.1756  0.06
Random 3   90  -0.0258  0.0089  0.0290  0.0211  0.4247  0.09

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).