Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6528  0.0031  0.0632  0.2551  0.0542  0.11
Anderszewski 2003   35  0.6053  0.0038  0.0638  0.2157  0.0446  0.09
Ashkenazy 1981   32  0.6138  0.0033  0.0537  0.2237  0.1527  0.18
Bacha 2000   34  0.6029  0.0043  0.0843  0.1727  0.1828  0.17
Badura 1965   72  0.4648  0.0076  0.0382  0.0350  0.0675  0.04
Barbosa 1983   49  0.5549  0.0032  0.0535  0.2412  0.3621  0.29
Biret 1990   8  0.6754  0.0017  0.0714  0.4127  0.2220  0.30
Blet 2003   57  0.5271  0.0062  0.0469  0.0464  0.0570  0.04
Block 1995   12  0.661  0.191  0.195  0.531  0.535  0.53
Blumental 1952   41  0.5842  0.0049  0.0653  0.0670  0.0463  0.05
Boshniakovich 1969   43  0.5723  0.0155  0.0650  0.0661  0.0564  0.05
Brailowsky 1960   7  0.6852  0.009  0.1013  0.446  0.527  0.48
Bunin 1987   71  0.4617  0.0174  0.0654  0.0643  0.1348  0.09
Bunin 1987b   73  0.4630  0.0073  0.0467  0.0443  0.1252  0.07
Chiu 1999   23  0.6365  0.0022  0.0719  0.3917  0.2916  0.34
Cohen 1997   83  0.3643  0.0087  0.0378  0.0349  0.0576  0.04
Cortot 1951   33  0.6178  0.0041  0.0640  0.1936  0.1529  0.17
Csalog 1996   78  0.4186  0.0061  0.0473  0.0444  0.0855  0.06
Czerny 1949   67  0.4935  0.0060  0.0651  0.0658  0.0561  0.05
Czerny 1990   40  0.5860  0.0047  0.0746  0.0763  0.0465  0.05
Duchoud 2007   54  0.5466  0.0051  0.0656  0.0616  0.2940  0.13
Ezaki 2006   14  0.6582  0.0024  0.0821  0.3548  0.0538  0.13
Falvay 1989   22  0.6318  0.0135  0.0633  0.256  0.5411  0.37
Farrell 1958   2  0.732  0.183  0.292  0.622  0.591  0.60
Ferenczy 1958   66  0.5032  0.0064  0.0471  0.0458  0.0573  0.04
Fliere 1977   27  0.6224  0.0127  0.0516  0.4056  0.0533  0.14
Fou 1978   17  0.6445  0.0026  0.0824  0.3439  0.1125  0.19
Francois 1956   19  0.645  0.0520  0.0829  0.3020  0.4215  0.35
Friedman 1923   58  0.5284  0.0068  0.0468  0.0456  0.0579  0.04
Friedman 1923b   60  0.5172  0.0067  0.0474  0.0445  0.0856  0.06
Friedman 1930   61  0.5061  0.0075  0.0657  0.0683  0.0371  0.04
Garcia 2007   38  0.5836  0.0048  0.0649  0.0636  0.1943  0.11
Garcia 2007b   51  0.5540  0.0053  0.0655  0.0641  0.1349  0.09
Gierzod 1998   52  0.5457  0.0054  0.0745  0.0773  0.0362  0.05
Gornostaeva 1994   59  0.5273  0.0044  0.0544  0.1040  0.1045  0.10
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   36  0.6068  0.0036  0.0531  0.2657  0.0544  0.11
Hatto 1993   68  0.4937  0.0071  0.0648  0.0681  0.0377  0.04
Hatto 1997   63  0.5085  0.0069  0.0562  0.0577  0.0472  0.04
Horowitz 1949   28  0.6247  0.0037  0.0634  0.2450  0.0835  0.14
Indjic 1988   64  0.5079  0.0070  0.0472  0.0480  0.0469  0.04
Kapell 1951   47  0.5627  0.0028  0.0626  0.3345  0.0634  0.14
Kissin 1993   42  0.5789  0.0045  0.0466  0.0467  0.0383  0.03
Kushner 1989   31  0.6141  0.0023  0.0920  0.3736  0.1624  0.24
Luisada 1991   26  0.6274  0.0034  0.0636  0.2446  0.0739  0.13
Lushtak 2004   3  0.7016  0.015  0.133  0.579  0.358  0.45
Malcuzynski 1961   76  0.4444  0.0072  0.0379  0.0374  0.0380  0.03
Magaloff 1978   30  0.617  0.0319  0.0723  0.3416  0.3713  0.35
Magin 1975   50  0.5558  0.0039  0.0641  0.1839  0.1530  0.16
Michalowski 1933   80  0.4080  0.0080  0.0386  0.0367  0.0482  0.03
Milkina 1970   20  0.6462  0.0021  0.0725  0.3333  0.2123  0.26
Mohovich 1999   1  0.743  0.132  0.261  0.637  0.562  0.59
Moravec 1969   77  0.4233  0.0081  0.0383  0.0350  0.0566  0.04
Morozova 2008   44  0.5721  0.0146  0.0652  0.0666  0.0460  0.05
Neighaus 1950   11  0.6713  0.0118  0.0717  0.4052  0.0632  0.15
Niedzielski 1931   65  0.5031  0.0059  0.0561  0.0563  0.0467  0.04
Ohlsson 1999   45  0.5646  0.0040  0.0542  0.1736  0.1531  0.16
Osinska 1989   4  0.6911  0.027  0.174  0.5329  0.3010  0.40
Pachmann 1927   69  0.4963  0.0077  0.0477  0.0462  0.0381  0.03
Paderewski 1930   46  0.5655  0.0058  0.0563  0.0542  0.0953  0.07
Perlemuter 1992   5  0.699  0.0214  0.099  0.4825  0.2612  0.35
Pierdomenico 2008   24  0.634  0.094  0.1611  0.482  0.584  0.53
Poblocka 1999   75  0.4456  0.0056  0.0560  0.0554  0.0557  0.05
Rabcewiczowa 1932   53  0.5451  0.0057  0.0565  0.0564  0.0468  0.04
Rachmaninoff 1923   13  0.6620  0.0116  0.0815  0.4127  0.2218  0.30
Rangell 2001   62  0.5014  0.018  0.1330  0.267  0.4517  0.34
Richter 1976   79  0.416  0.0366  0.0470  0.0454  0.0658  0.05
Rosen 1989   37  0.5919  0.0129  0.0628  0.3038  0.1226  0.19
Rosenthal 1930   86  0.3364  0.0083  0.0387  0.0380  0.0386  0.03
Rosenthal 1931   84  0.3587  0.0084  0.0380  0.0363  0.0485  0.03
Rosenthal 1931b   82  0.3659  0.0082  0.0385  0.0360  0.0578  0.04
Rosenthal 1931c   87  0.2975  0.0086  0.0384  0.0386  0.0389  0.03
Rosenthal 1931d   85  0.3483  0.0085  0.0381  0.0368  0.0488  0.03
Rossi 2007   56  0.5290  0.0065  0.0564  0.0541  0.1450  0.08
Rubinstein 1939   48  0.5667  0.0050  0.0559  0.0539  0.1451  0.08
Rubinstein 1952   39  0.588  0.0225  0.0722  0.356  0.549  0.43
Rubinstein 1966   10  0.6712  0.0210  0.116  0.513  0.536  0.52
Schilhawsky 1960   70  0.4869  0.0063  0.0558  0.0561  0.0559  0.05
Shebanova 2002   9  0.6726  0.0113  0.097  0.5067  0.0437  0.14
Smith 1975   21  0.6439  0.0015  0.0818  0.3918  0.3114  0.35
Sokolov 2002   55  0.5381  0.0052  0.0747  0.0749  0.0554  0.06
Sztompka 1959   25  0.6310  0.0230  0.0627  0.3150  0.0636  0.14
Tomsic 1995   6  0.6825  0.016  0.1212  0.475  0.613  0.54
Uninsky 1932   74  0.4550  0.0079  0.0475  0.0474  0.0474  0.04
Uninsky 1971   81  0.3976  0.0078  0.0476  0.0480  0.0384  0.03
Wasowski 1980   29  0.6122  0.0142  0.0839  0.2153  0.0641  0.11
Zak 1937   15  0.6515  0.0112  0.1710  0.4837  0.1522  0.27
Zak 1951   18  0.6470  0.0011  0.108  0.4936  0.1819  0.30
Random 1   90  -0.2177  0.0089  0.0189  0.0140  0.1187  0.03
Random 2   89  -0.1388  0.0090  0.0190  0.0179  0.0390  0.02
Random 3   88  0.0034  0.0088  0.0288  0.0214  0.4347  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).