Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.3451  0.0077  0.0472  0.0459  0.0478  0.04
Anderszewski 2003   7  0.6232  0.007  0.175  0.713  0.724  0.71
Ashkenazy 1981   65  0.3845  0.0082  0.0379  0.0384  0.0291  0.02
Bacha 2000   67  0.3882  0.0065  0.0565  0.0537  0.2463  0.11
Badura 1965   63  0.3926  0.0063  0.0757  0.0741  0.1267  0.09
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   27  0.5548  0.0020  0.1217  0.5511  0.5619  0.55
Blet 2003   64  0.3970  0.0076  0.0381  0.0372  0.0386  0.03
Block 1995   38  0.5215  0.0126  0.1029  0.359  0.6225  0.47
Blumental 1952   9  0.6118  0.0114  0.1010  0.653  0.746  0.69
Boshniakovich 1969   39  0.5222  0.0023  0.1120  0.4914  0.4626  0.47
Brailowsky 1960   16  0.5829  0.0018  0.1226  0.3813  0.6124  0.48
Bunin 1987   45  0.5040  0.0050  0.0664  0.066  0.5850  0.19
Bunin 1987b   50  0.4883  0.0053  0.0848  0.088  0.5746  0.21
Chiu 1999   52  0.4738  0.0051  0.0758  0.076  0.5149  0.19
Cohen 1997   72  0.3367  0.0073  0.0378  0.0354  0.0488  0.03
Cortot 1951   61  0.408  0.0240  0.0842  0.1724  0.4144  0.26
Csalog 1996   60  0.4075  0.0062  0.0946  0.0961  0.0573  0.07
Czerny 1949   15  0.5911  0.018  0.1321  0.4817  0.6617  0.56
Czerny 1990   5  0.633  0.044  0.242  0.767  0.772  0.76
Duchoud 2007   85  0.2186  0.0085  0.0288  0.0267  0.0487  0.03
Ezaki 2006   2  0.672  0.062  0.204  0.753  0.713  0.73
Falvay 1989   12  0.5920  0.0016  0.1213  0.6117  0.5815  0.59
Farrell 1958   35  0.5325  0.0031  0.0827  0.388  0.6721  0.50
Ferenczy 1958   59  0.4455  0.0061  0.0849  0.0831  0.3553  0.17
Fliere 1977   23  0.5643  0.0019  0.1019  0.5120  0.4623  0.48
Fou 1978   24  0.5630  0.0034  0.0733  0.2923  0.3936  0.34
Francois 1956   78  0.3077  0.0081  0.0377  0.0360  0.0582  0.04
Friedman 1923   73  0.3384  0.0068  0.0471  0.0438  0.1968  0.09
Friedman 1923b   75  0.3256  0.0071  0.0473  0.0440  0.1871  0.08
Friedman 1930   76  0.3241  0.0064  0.0660  0.0642  0.1764  0.10
Garcia 2007   81  0.2874  0.0067  0.0568  0.0542  0.1666  0.09
Garcia 2007b   68  0.3535  0.0054  0.0854  0.0836  0.2757  0.15
Gierzod 1998   8  0.6121  0.009  0.168  0.6614  0.5414  0.60
Gornostaeva 1994   41  0.5242  0.0048  0.0663  0.0620  0.4454  0.16
Groot 1988   49  0.4857  0.0035  0.0645  0.1317  0.3845  0.22
Harasiewicz 1955   3  0.664  0.043  0.216  0.687  0.667  0.67
Hatto 1993   33  0.5485  0.0047  0.0662  0.0630  0.3360  0.14
Hatto 1997   32  0.5478  0.0046  0.0759  0.0733  0.3456  0.15
Horowitz 1949   74  0.3360  0.0075  0.0376  0.0336  0.1872  0.07
Indjic 1988   37  0.5387  0.0052  0.0853  0.0833  0.2955  0.15
Kapell 1951   13  0.599  0.0113  0.0812  0.638  0.6710  0.65
Kissin 1993   19  0.5713  0.0136  0.0636  0.2617  0.5533  0.38
Kushner 1989   21  0.5631  0.0029  0.0823  0.4735  0.3331  0.39
Luisada 1991   34  0.5328  0.0049  0.0661  0.0616  0.5051  0.17
Lushtak 2004   28  0.5514  0.0125  0.1124  0.4320  0.5027  0.46
Malcuzynski 1961   25  0.5650  0.0024  0.1222  0.4818  0.5222  0.50
Magaloff 1978   18  0.5723  0.0027  0.1025  0.417  0.6420  0.51
Magin 1975   36  0.5358  0.0030  0.0931  0.3314  0.5729  0.43
Michalowski 1933   87  0.1361  0.0088  0.0287  0.0277  0.0290  0.02
Milkina 1970   11  0.606  0.025  0.187  0.6713  0.5913  0.63
Mohovich 1999   29  0.5544  0.0028  0.0832  0.3027  0.4035  0.35
Moravec 1969   10  0.605  0.0310  0.1018  0.518  0.5918  0.55
Morozova 2008   42  0.5271  0.0038  0.0634  0.2816  0.5332  0.39
Neighaus 1950   77  0.3068  0.0083  0.0569  0.0560  0.0481  0.04
Niedzielski 1931   70  0.3462  0.0072  0.0374  0.0341  0.1174  0.06
Ohlsson 1999   54  0.4659  0.0058  0.0851  0.0829  0.3652  0.17
Osinska 1989   17  0.5872  0.0022  0.1314  0.6121  0.5516  0.58
Pachmann 1927   84  0.2388  0.0086  0.0384  0.0356  0.0577  0.04
Paderewski 1930   88  0.1389  0.0084  0.0286  0.0260  0.0485  0.03
Perlemuter 1992   79  0.2990  0.0079  0.0385  0.0363  0.0483  0.03
Pierdomenico 2008   86  0.1846  0.0087  0.0383  0.0375  0.0384  0.03
Poblocka 1999   4  0.6449  0.0012  0.0711  0.647  0.669  0.65
Rabcewiczowa 1932   55  0.467  0.0211  0.0728  0.389  0.4830  0.43
Rachmaninoff 1923   44  0.5027  0.0033  0.0739  0.2010  0.5438  0.33
Rangell 2001   51  0.4769  0.0059  0.0850  0.0813  0.5347  0.21
Richter 1976   22  0.5679  0.0032  0.1230  0.3413  0.6028  0.45
Rosen 1989   56  0.4563  0.0056  0.0756  0.0735  0.2759  0.14
Rosenthal 1930   62  0.3973  0.0070  0.0566  0.0534  0.3062  0.12
Rosenthal 1931   71  0.3491  0.0069  0.0470  0.0437  0.1869  0.08
Rosenthal 1931b   80  0.2847  0.0078  0.0382  0.0362  0.0489  0.03
Rosenthal 1931c   66  0.3880  0.0066  0.0567  0.0559  0.0675  0.05
Rosenthal 1931d   82  0.2853  0.0074  0.0375  0.0357  0.0580  0.04
Rossi 2007   83  0.2664  0.0080  0.0380  0.0361  0.0576  0.04
Rubinstein 1939   40  0.5237  0.0044  0.0643  0.1617  0.4943  0.28
Rubinstein 1952   14  0.5939  0.0015  0.129  0.6610  0.6312  0.64
Rubinstein 1966   6  0.6212  0.016  0.153  0.757  0.685  0.71
Schilhawsky 1960   48  0.4936  0.0037  0.0635  0.2614  0.5334  0.37
Shebanova 2002   53  0.4665  0.0060  0.0847  0.0837  0.2061  0.13
Smith 1975   43  0.5124  0.0043  0.0640  0.1810  0.5840  0.32
Sokolov 2002   47  0.4917  0.0157  0.0852  0.0814  0.5148  0.20
Sztompka 1959   46  0.4976  0.0039  0.0637  0.2222  0.5337  0.34
Tomsic 1995   57  0.4566  0.0055  0.0755  0.0728  0.2958  0.14
Uninsky 1932   58  0.4519  0.0145  0.0744  0.148  0.6642  0.30
Uninsky 1971   26  0.5633  0.0017  0.1015  0.604  0.728  0.66
Wasowski 1980   20  0.5710  0.0121  0.1116  0.602  0.6811  0.64
Zak 1937   31  0.5416  0.0141  0.0641  0.1716  0.5241  0.30
Zak 1951   30  0.5552  0.0042  0.0838  0.2117  0.5339  0.33
Average   1  0.741  0.601  0.591  0.8715  0.661  0.76
Random 1   90  -0.0181  0.0091  0.0191  0.0135  0.2079  0.04
Random 2   89  0.0834  0.0089  0.0289  0.0213  0.4265  0.09
Random 3   91  -0.0354  0.0090  0.0290  0.0214  0.3670  0.08

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).