Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4686  0.0065  0.0376  0.0380  0.0388  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   17  0.5870  0.0012  0.1714  0.4922  0.4214  0.45
Bacha 2000   49  0.4638  0.0062  0.0464  0.0424  0.3846  0.12
Badura 1965   43  0.4934  0.0056  0.0462  0.0428  0.3449  0.12
Barbosa 1983   69  0.438  0.0142  0.0539  0.1338  0.2040  0.16
Biret 1990   32  0.5276  0.0035  0.0630  0.2449  0.0745  0.13
Blet 2003   47  0.4751  0.0061  0.0368  0.0352  0.0583  0.04
Block 1995   23  0.5428  0.0022  0.0824  0.399  0.5015  0.44
Blumental 1952   62  0.4417  0.0034  0.0636  0.1639  0.1342  0.14
Boshniakovich 1969   28  0.5333  0.0033  0.0732  0.2235  0.2533  0.23
Brailowsky 1960   21  0.5512  0.0136  0.0637  0.1515  0.5524  0.29
Bunin 1987   52  0.4683  0.0050  0.0647  0.0628  0.3243  0.14
Bunin 1987b   56  0.4566  0.0051  0.0548  0.0529  0.3147  0.12
Chiu 1999   77  0.4184  0.0083  0.0457  0.0477  0.0385  0.03
Cohen 1997   84  0.3525  0.0081  0.0380  0.0335  0.2458  0.08
Cortot 1951   60  0.4556  0.0068  0.0369  0.0334  0.1960  0.08
Csalog 1996   88  0.2978  0.0082  0.0373  0.0350  0.0682  0.04
Czerny 1949   30  0.5248  0.0029  0.0727  0.3031  0.2826  0.29
Czerny 1990   15  0.5818  0.0019  0.0813  0.5026  0.3019  0.39
Duchoud 2007   46  0.4736  0.0032  0.0733  0.1923  0.3828  0.27
Ezaki 2006   11  0.6042  0.0017  0.0921  0.4232  0.3021  0.35
Falvay 1989   48  0.4711  0.0147  0.0550  0.0546  0.0865  0.06
Farrell 1958   40  0.4959  0.0053  0.0455  0.0435  0.1856  0.08
Ferenczy 1958   37  0.5137  0.0038  0.0542  0.127  0.5129  0.25
Fliere 1977   16  0.5880  0.0020  0.0825  0.3454  0.0641  0.14
Fou 1978   39  0.5065  0.0044  0.0544  0.1258  0.0557  0.08
Francois 1956   75  0.4249  0.0059  0.0375  0.0344  0.1168  0.06
Friedman 1923   80  0.3889  0.0086  0.0382  0.0338  0.1564  0.07
Friedman 1923b   81  0.3885  0.0087  0.0460  0.0447  0.0867  0.06
Friedman 1930   63  0.4482  0.0073  0.0286  0.0250  0.0686  0.03
Garcia 2007   78  0.4179  0.0063  0.0378  0.0313  0.4648  0.12
Garcia 2007b   82  0.3760  0.0072  0.0288  0.0242  0.1174  0.05
Gierzod 1998   10  0.619  0.018  0.152  0.6310  0.531  0.58
Gornostaeva 1994   14  0.585  0.0316  0.1215  0.4825  0.4116  0.44
Groot 1988   68  0.4358  0.0045  0.0445  0.0950  0.0663  0.07
Harasiewicz 1955   6  0.617  0.013  0.295  0.5712  0.494  0.53
Hatto 1993   4  0.622  0.085  0.176  0.5611  0.513  0.53
Hatto 1997   2  0.6216  0.006  0.223  0.6213  0.435  0.52
Horowitz 1949   76  0.4272  0.0077  0.0377  0.0342  0.1562  0.07
Indjic 1988   7  0.6157  0.007  0.249  0.5512  0.457  0.50
Kapell 1951   13  0.593  0.072  0.204  0.604  0.542  0.57
Kissin 1993   44  0.4874  0.0057  0.0367  0.0362  0.0581  0.04
Kushner 1989   12  0.6027  0.0014  0.158  0.5518  0.449  0.49
Luisada 1991   8  0.6123  0.0011  0.1216  0.4722  0.4612  0.46
Lushtak 2004   33  0.5221  0.0024  0.0817  0.4633  0.3120  0.38
Malcuzynski 1961   26  0.5346  0.0030  0.1226  0.3333  0.2625  0.29
Magaloff 1978   34  0.5130  0.0055  0.0646  0.0649  0.0570  0.05
Magin 1975   3  0.624  0.064  0.1712  0.5116  0.4511  0.48
Michalowski 1933   61  0.4539  0.0039  0.0543  0.1222  0.3736  0.21
Milkina 1970   19  0.5710  0.0123  0.0922  0.4137  0.2423  0.31
Mohovich 1999   24  0.5413  0.0118  0.0819  0.4326  0.4317  0.43
Moravec 1969   74  0.4220  0.0070  0.0466  0.0443  0.1361  0.07
Morozova 2008   27  0.5373  0.0021  0.0831  0.2441  0.1239  0.17
Neighaus 1950   35  0.5152  0.0041  0.0640  0.1359  0.0559  0.08
Niedzielski 1931   54  0.4535  0.0067  0.0374  0.0335  0.2255  0.08
Ohlsson 1999   9  0.6115  0.019  0.1410  0.5128  0.3518  0.42
Osinska 1989   25  0.5332  0.0031  0.0829  0.2744  0.1834  0.22
Pachmann 1927   87  0.2963  0.0085  0.0384  0.0359  0.0580  0.04
Paderewski 1930   72  0.4350  0.0076  0.0385  0.0345  0.0872  0.05
Perlemuter 1992   66  0.4455  0.0066  0.0552  0.0549  0.0669  0.05
Pierdomenico 2008   86  0.3271  0.0088  0.0458  0.0459  0.0671  0.05
Poblocka 1999   20  0.5654  0.0010  0.127  0.5511  0.486  0.51
Rabcewiczowa 1932   64  0.4419  0.0069  0.0461  0.0457  0.0577  0.04
Rachmaninoff 1923   45  0.4864  0.0058  0.0459  0.0453  0.0576  0.04
Rangell 2001   65  0.4422  0.0052  0.0549  0.0534  0.2251  0.10
Richter 1976   41  0.4947  0.0043  0.0541  0.1323  0.3931  0.23
Rosen 1989   42  0.4967  0.0054  0.0551  0.0556  0.0673  0.05
Rosenthal 1930   58  0.4543  0.0075  0.0381  0.0345  0.1266  0.06
Rosenthal 1931   53  0.4624  0.0046  0.0553  0.0513  0.5938  0.17
Rosenthal 1931b   70  0.4377  0.0048  0.0454  0.0419  0.4844  0.14
Rosenthal 1931c   67  0.4453  0.0074  0.0383  0.0331  0.3452  0.10
Rosenthal 1931d   79  0.3962  0.0078  0.0379  0.0327  0.3054  0.09
Rossi 2007   83  0.3690  0.0084  0.0287  0.0245  0.1075  0.04
Rubinstein 1939   73  0.4340  0.0080  0.0370  0.0325  0.3053  0.09
Rubinstein 1952   85  0.3241  0.0079  0.0371  0.0382  0.0489  0.03
Rubinstein 1966   22  0.546  0.0125  0.0734  0.1941  0.1937  0.19
Schilhawsky 1960   29  0.5226  0.0028  0.0728  0.2936  0.2827  0.28
Shebanova 2002   55  0.4591  0.0071  0.0465  0.0484  0.0387  0.03
Smith 1975   5  0.6245  0.0013  0.1511  0.5113  0.488  0.49
Sokolov 2002   18  0.5729  0.0015  0.1518  0.4413  0.4613  0.45
Sztompka 1959   31  0.5244  0.0027  0.0723  0.3939  0.1332  0.23
Tomsic 1995   51  0.4614  0.0137  0.0538  0.1522  0.3235  0.22
Uninsky 1932   71  0.4369  0.0064  0.0463  0.0461  0.0584  0.04
Uninsky 1971   38  0.5031  0.0026  0.0720  0.4332  0.2622  0.33
Wasowski 1980   36  0.5175  0.0040  0.0635  0.1929  0.2730  0.23
Zak 1937   59  0.4561  0.0060  0.0372  0.0349  0.0678  0.04
Zak 1951   57  0.4588  0.0049  0.0456  0.0472  0.0479  0.04
Average   1  0.711  0.591  0.581  0.8239  0.2910  0.49
Random 1   91  -0.0668  0.0090  0.0190  0.0155  0.0491  0.02
Random 2   90  -0.0587  0.0091  0.0191  0.0166  0.0390  0.02
Random 3   89  0.0281  0.0089  0.0289  0.025  0.4950  0.10

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).