Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.4469  0.0063  0.0564  0.0571  0.0474  0.04
Anderszewski 2003   11  0.5810  0.028  0.103  0.6720  0.464  0.56
Ashkenazy 1981   42  0.4840  0.0074  0.0557  0.0580  0.0378  0.04
Bacha 2000   41  0.4851  0.0036  0.0637  0.1922  0.3427  0.25
Badura 1965   46  0.4754  0.0059  0.0559  0.0560  0.0560  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   29  0.5416  0.0112  0.0818  0.5229  0.2818  0.38
Blet 2003   36  0.4944  0.0055  0.0468  0.0441  0.1449  0.07
Block 1995   45  0.4720  0.0123  0.0826  0.4423  0.3415  0.39
Blumental 1952   26  0.5418  0.0113  0.0921  0.4729  0.2420  0.34
Boshniakovich 1969   58  0.4413  0.0153  0.0561  0.0575  0.0477  0.04
Brailowsky 1960   8  0.595  0.074  0.1615  0.546  0.691  0.61
Bunin 1987   72  0.3741  0.0076  0.0652  0.0666  0.0462  0.05
Bunin 1987b   76  0.3671  0.0077  0.0647  0.0670  0.0454  0.05
Chiu 1999   6  0.6112  0.0110  0.118  0.584  0.525  0.55
Cohen 1997   49  0.4680  0.0066  0.0480  0.0420  0.3342  0.11
Cortot 1951   63  0.4315  0.0160  0.0553  0.0566  0.0481  0.04
Csalog 1996   73  0.3672  0.0042  0.0643  0.1233  0.2238  0.16
Czerny 1949   34  0.508  0.0339  0.0545  0.1160  0.0550  0.07
Czerny 1990   9  0.5831  0.0014  0.096  0.6036  0.2319  0.37
Duchoud 2007   78  0.3285  0.0081  0.0474  0.0466  0.0575  0.04
Ezaki 2006   1  0.672  0.123  0.204  0.6517  0.553  0.60
Falvay 1989   21  0.5519  0.0125  0.0731  0.3926  0.4113  0.40
Farrell 1958   13  0.5732  0.0021  0.0824  0.4534  0.3314  0.39
Ferenczy 1958   38  0.4947  0.0046  0.0555  0.0520  0.4139  0.14
Fliere 1977   19  0.5526  0.0019  0.0916  0.5360  0.0537  0.16
Fou 1978   23  0.5521  0.0128  0.1030  0.4043  0.1431  0.24
Francois 1956   68  0.3967  0.0072  0.0554  0.0577  0.0382  0.04
Friedman 1923   52  0.4636  0.0067  0.0477  0.0446  0.0764  0.05
Friedman 1923b   53  0.4560  0.0068  0.0475  0.0469  0.0479  0.04
Friedman 1930   56  0.4464  0.0064  0.0473  0.0448  0.0657  0.05
Garcia 2007   75  0.3674  0.0075  0.0469  0.0479  0.0476  0.04
Garcia 2007b   71  0.3757  0.0062  0.0648  0.0679  0.0383  0.04
Gierzod 1998   28  0.549  0.0217  0.0823  0.4654  0.0635  0.17
Gornostaeva 1994   43  0.4861  0.0035  0.0734  0.2640  0.1533  0.20
Groot 1988   33  0.5150  0.0027  0.0927  0.4327  0.2621  0.33
Harasiewicz 1955   7  0.6023  0.0018  0.097  0.5951  0.0536  0.17
Hatto 1993   17  0.5555  0.0047  0.0651  0.0673  0.0463  0.05
Hatto 1997   18  0.5577  0.0048  0.0746  0.0771  0.0458  0.05
Horowitz 1949   77  0.3381  0.0079  0.0479  0.0462  0.0655  0.05
Indjic 1988   22  0.5586  0.0049  0.0650  0.0663  0.0456  0.05
Kapell 1951   35  0.5011  0.0111  0.119  0.5823  0.3510  0.45
Kissin 1993   47  0.4724  0.0057  0.0467  0.0475  0.0471  0.04
Kushner 1989   24  0.5528  0.0024  0.0822  0.4743  0.1328  0.25
Luisada 1991   4  0.6314  0.019  0.105  0.6427  0.329  0.45
Lushtak 2004   5  0.623  0.095  0.1513  0.5524  0.418  0.47
Malcuzynski 1961   79  0.3237  0.0065  0.0565  0.0572  0.0468  0.04
Magaloff 1978   31  0.5334  0.0032  0.1032  0.3325  0.3122  0.32
Magin 1975   57  0.4449  0.0045  0.0641  0.1355  0.0546  0.08
Michalowski 1933   88  0.1882  0.0086  0.0289  0.0285  0.0389  0.02
Milkina 1970   32  0.526  0.057  0.1111  0.5735  0.3212  0.43
Mohovich 1999   14  0.5765  0.0016  0.1117  0.5231  0.3811  0.44
Moravec 1969   44  0.4727  0.0040  0.0536  0.2028  0.3325  0.26
Morozova 2008   30  0.5470  0.0034  0.0835  0.2544  0.1234  0.17
Neighaus 1950   67  0.4062  0.0070  0.0478  0.0456  0.0580  0.04
Niedzielski 1931   66  0.4029  0.0058  0.0563  0.0557  0.0553  0.05
Ohlsson 1999   51  0.4652  0.0052  0.0556  0.0581  0.0370  0.04
Osinska 1989   20  0.5546  0.0020  0.1112  0.5744  0.1424  0.28
Pachmann 1927   80  0.2789  0.0083  0.0384  0.0371  0.0386  0.03
Paderewski 1930   84  0.2275  0.0080  0.0481  0.0472  0.0385  0.03
Perlemuter 1992   55  0.4487  0.0061  0.0471  0.0462  0.0465  0.04
Pierdomenico 2008   82  0.2456  0.0078  0.0476  0.0480  0.0384  0.03
Poblocka 1999   48  0.4735  0.0044  0.0542  0.1274  0.0447  0.07
Rabcewiczowa 1932   64  0.4238  0.0022  0.0829  0.4133  0.2123  0.29
Rachmaninoff 1923   50  0.4658  0.0054  0.0470  0.0469  0.0467  0.04
Rangell 2001   74  0.3668  0.0056  0.0466  0.0432  0.3143  0.11
Richter 1976   70  0.3843  0.0069  0.0472  0.0461  0.0569  0.04
Rosen 1989   37  0.4976  0.0033  0.0833  0.3259  0.0540  0.13
Rosenthal 1930   81  0.2673  0.0082  0.0385  0.0385  0.0290  0.02
Rosenthal 1931   83  0.2290  0.0085  0.0382  0.0355  0.0672  0.04
Rosenthal 1931b   86  0.2083  0.0087  0.0288  0.0267  0.0488  0.03
Rosenthal 1931c   85  0.2278  0.0084  0.0286  0.0271  0.0391  0.02
Rosenthal 1931d   87  0.1991  0.0088  0.0383  0.0368  0.0487  0.03
Rossi 2007   69  0.3966  0.0073  0.0562  0.0550  0.0652  0.05
Rubinstein 1939   12  0.5763  0.0029  0.0828  0.4126  0.3517  0.38
Rubinstein 1952   25  0.5545  0.0015  0.1014  0.5422  0.456  0.49
Rubinstein 1966   3  0.647  0.032  0.152  0.7113  0.532  0.61
Schilhawsky 1960   65  0.4153  0.0071  0.0558  0.0574  0.0473  0.04
Shebanova 2002   39  0.4948  0.0037  0.0538  0.1862  0.0545  0.09
Smith 1975   27  0.5422  0.0026  0.0825  0.4423  0.3216  0.38
Sokolov 2002   62  0.4333  0.0051  0.0560  0.0559  0.0466  0.04
Sztompka 1959   40  0.4884  0.0038  0.0544  0.1268  0.0448  0.07
Tomsic 1995   60  0.4379  0.0041  0.0739  0.1833  0.3430  0.25
Uninsky 1932   54  0.4530  0.0050  0.0649  0.0652  0.0651  0.06
Uninsky 1971   61  0.4325  0.0043  0.0640  0.1555  0.0644  0.09
Wasowski 1980   10  0.584  0.096  0.1710  0.5828  0.397  0.48
Zak 1937   15  0.5517  0.0131  0.1720  0.4743  0.1329  0.25
Zak 1951   16  0.5542  0.0030  0.1219  0.4939  0.1426  0.26
Average   2  0.651  0.331  0.331  0.7861  0.0532  0.20
Random 1   91  -0.0188  0.0090  0.0190  0.0122  0.2861  0.05
Random 2   89  0.0039  0.0091  0.0191  0.0126  0.2659  0.05
Random 3   90  -0.0159  0.0089  0.0287  0.021  0.6341  0.11

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).