Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4685  0.0064  0.0375  0.0379  0.0387  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   16  0.5870  0.0011  0.1713  0.4921  0.4213  0.45
Bacha 2000   48  0.4639  0.0061  0.0463  0.0423  0.3846  0.12
Badura 1965   42  0.4933  0.0055  0.0461  0.0427  0.3448  0.12
Barbosa 1983   68  0.4313  0.0141  0.0638  0.1337  0.2039  0.16
Biret 1990   31  0.5273  0.0034  0.0629  0.2448  0.0745  0.13
Blet 2003   46  0.4753  0.0060  0.0467  0.0451  0.0582  0.04
Block 1995   22  0.5425  0.0021  0.0923  0.398  0.5014  0.44
Blumental 1952   61  0.4419  0.0033  0.0635  0.1638  0.1342  0.14
Boshniakovich 1969   27  0.5329  0.0032  0.0731  0.2234  0.2532  0.23
Brailowsky 1960   20  0.5517  0.0135  0.0636  0.1514  0.5523  0.29
Bunin 1987   51  0.4681  0.0049  0.0646  0.0627  0.3243  0.14
Bunin 1987b   55  0.4566  0.0050  0.0647  0.0628  0.3141  0.14
Chiu 1999   76  0.4184  0.0082  0.0456  0.0476  0.0385  0.03
Cohen 1997   83  0.3528  0.0080  0.0379  0.0334  0.2457  0.08
Cortot 1951   59  0.4556  0.0067  0.0368  0.0333  0.1959  0.08
Csalog 1996   87  0.2977  0.0081  0.0372  0.0349  0.0681  0.04
Czerny 1949   29  0.5246  0.0028  0.0826  0.3030  0.2825  0.29
Czerny 1990   14  0.5816  0.0118  0.0812  0.5025  0.3018  0.39
Duchoud 2007   45  0.4734  0.0031  0.0732  0.1922  0.3827  0.27
Ezaki 2006   10  0.6043  0.0016  0.0920  0.4231  0.3020  0.35
Falvay 1989   47  0.479  0.0246  0.0549  0.0545  0.0864  0.06
Farrell 1958   39  0.4949  0.0052  0.0454  0.0434  0.1855  0.08
Ferenczy 1958   36  0.5136  0.0037  0.0541  0.126  0.5128  0.25
Fliere 1977   15  0.5878  0.0019  0.0824  0.3453  0.0640  0.14
Fou 1978   38  0.5064  0.0043  0.0543  0.1257  0.0556  0.08
Francois 1956   74  0.4244  0.0058  0.0374  0.0343  0.1167  0.06
Friedman 1923   79  0.3888  0.0085  0.0381  0.0337  0.1563  0.07
Friedman 1923b   80  0.3883  0.0086  0.0459  0.0446  0.0866  0.06
Friedman 1930   62  0.4482  0.0072  0.0385  0.0349  0.0683  0.04
Garcia 2007   77  0.4179  0.0062  0.0377  0.0312  0.4647  0.12
Garcia 2007b   81  0.3759  0.0071  0.0287  0.0241  0.1173  0.05
Gierzod 1998   9  0.616  0.057  0.151  0.639  0.531  0.58
Gornostaeva 1994   13  0.585  0.0915  0.1214  0.4824  0.4115  0.44
Groot 1988   67  0.4350  0.0044  0.0544  0.0949  0.0662  0.07
Harasiewicz 1955   5  0.612  0.172  0.294  0.5711  0.494  0.53
Hatto 1993   3  0.624  0.104  0.175  0.5610  0.513  0.53
Hatto 1997   1  0.628  0.035  0.222  0.6212  0.435  0.52
Horowitz 1949   75  0.4272  0.0076  0.0376  0.0341  0.1561  0.07
Indjic 1988   6  0.6158  0.006  0.258  0.5511  0.457  0.50
Kapell 1951   12  0.591  0.201  0.203  0.603  0.542  0.57
Kissin 1993   43  0.4874  0.0056  0.0466  0.0461  0.0580  0.04
Kushner 1989   11  0.6010  0.0113  0.167  0.5517  0.449  0.49
Luisada 1991   7  0.6126  0.0010  0.1215  0.4721  0.4611  0.46
Lushtak 2004   32  0.5223  0.0023  0.0816  0.4632  0.3119  0.38
Malcuzynski 1961   25  0.5341  0.0029  0.1225  0.3332  0.2624  0.29
Magaloff 1978   33  0.5127  0.0054  0.0645  0.0648  0.0569  0.05
Magin 1975   2  0.623  0.153  0.1711  0.5115  0.4510  0.48
Michalowski 1933   60  0.4540  0.0038  0.0542  0.1221  0.3735  0.21
Milkina 1970   18  0.5712  0.0122  0.0921  0.4136  0.2422  0.31
Mohovich 1999   23  0.5411  0.0117  0.0818  0.4325  0.4316  0.43
Moravec 1969   73  0.4222  0.0069  0.0465  0.0442  0.1360  0.07
Morozova 2008   26  0.5369  0.0020  0.0830  0.2440  0.1238  0.17
Neighaus 1950   34  0.5151  0.0040  0.0639  0.1358  0.0558  0.08
Niedzielski 1931   53  0.4535  0.0066  0.0373  0.0334  0.2254  0.08
Ohlsson 1999   8  0.6118  0.018  0.149  0.5127  0.3517  0.42
Osinska 1989   24  0.5331  0.0030  0.0828  0.2743  0.1833  0.22
Pachmann 1927   86  0.2960  0.0084  0.0383  0.0358  0.0579  0.04
Paderewski 1930   71  0.4352  0.0075  0.0384  0.0344  0.0871  0.05
Perlemuter 1992   65  0.4457  0.0065  0.0551  0.0548  0.0668  0.05
Pierdomenico 2008   85  0.3271  0.0087  0.0457  0.0458  0.0670  0.05
Poblocka 1999   19  0.5654  0.009  0.126  0.5510  0.486  0.51
Rabcewiczowa 1932   63  0.4421  0.0068  0.0460  0.0456  0.0576  0.04
Rachmaninoff 1923   44  0.4865  0.0057  0.0458  0.0452  0.0575  0.04
Rangell 2001   64  0.4415  0.0151  0.0548  0.0533  0.2250  0.10
Richter 1976   40  0.4948  0.0042  0.0540  0.1322  0.3930  0.23
Rosen 1989   41  0.4963  0.0053  0.0550  0.0555  0.0672  0.05
Rosenthal 1930   57  0.4545  0.0074  0.0380  0.0344  0.1265  0.06
Rosenthal 1931   52  0.4620  0.0045  0.0552  0.0512  0.5937  0.17
Rosenthal 1931b   69  0.4376  0.0047  0.0453  0.0418  0.4844  0.14
Rosenthal 1931c   66  0.4455  0.0073  0.0382  0.0330  0.3451  0.10
Rosenthal 1931d   78  0.3962  0.0077  0.0378  0.0326  0.3053  0.09
Rossi 2007   82  0.3689  0.0083  0.0286  0.0244  0.1074  0.04
Rubinstein 1939   72  0.4342  0.0079  0.0369  0.0324  0.3052  0.09
Rubinstein 1952   84  0.3238  0.0078  0.0370  0.0381  0.0488  0.03
Rubinstein 1966   21  0.547  0.0424  0.0733  0.1940  0.1936  0.19
Schilhawsky 1960   28  0.5224  0.0027  0.0727  0.2935  0.2826  0.28
Shebanova 2002   54  0.4590  0.0070  0.0464  0.0483  0.0386  0.03
Smith 1975   4  0.6247  0.0012  0.1610  0.5112  0.488  0.49
Sokolov 2002   17  0.5730  0.0014  0.1517  0.4412  0.4612  0.45
Sztompka 1959   30  0.5237  0.0026  0.0722  0.3938  0.1331  0.23
Tomsic 1995   50  0.4614  0.0136  0.0537  0.1521  0.3234  0.22
Uninsky 1932   70  0.4368  0.0063  0.0462  0.0460  0.0584  0.04
Uninsky 1971   37  0.5032  0.0025  0.0719  0.4331  0.2621  0.33
Wasowski 1980   35  0.5175  0.0039  0.0634  0.1928  0.2729  0.23
Zak 1937   58  0.4561  0.0059  0.0371  0.0348  0.0677  0.04
Zak 1951   56  0.4587  0.0048  0.0455  0.0471  0.0478  0.04
Random 1   90  -0.0667  0.0089  0.0189  0.0155  0.0490  0.02
Random 2   89  -0.0586  0.0090  0.0190  0.0165  0.0389  0.02
Random 3   88  0.0280  0.0088  0.0288  0.025  0.4849  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).