Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5472  0.0028  0.0630  0.1854  0.0549  0.09
Anderszewski 2003   7  0.607  0.027  0.199  0.5021  0.467  0.48
Ashkenazy 1981   76  0.4027  0.0066  0.0555  0.0561  0.0567  0.05
Bacha 2000   75  0.4159  0.0079  0.0376  0.0361  0.0476  0.03
Badura 1965   58  0.4650  0.0041  0.0538  0.1355  0.0553  0.08
Barbosa 1983   86  0.3244  0.0069  0.0471  0.0464  0.0574  0.04
Biret 1990   38  0.5023  0.0021  0.0924  0.2842  0.1128  0.18
Blet 2003   82  0.3888  0.0086  0.0468  0.0466  0.0384  0.03
Block 1995   49  0.4775  0.0055  0.0646  0.0660  0.0564  0.05
Blumental 1952   62  0.4418  0.0120  0.1023  0.3031  0.2221  0.26
Boshniakovich 1969   2  0.674  0.073  0.196  0.6013  0.574  0.58
Brailowsky 1960   72  0.4145  0.0082  0.0379  0.0352  0.0669  0.04
Bunin 1987   53  0.4634  0.0047  0.0470  0.0416  0.4538  0.13
Bunin 1987b   55  0.4642  0.0048  0.0549  0.0517  0.4531  0.15
Chiu 1999   85  0.3366  0.0083  0.0378  0.0372  0.0478  0.03
Cohen 1997   87  0.1481  0.0087  0.0380  0.0381  0.0387  0.03
Cortot 1951   17  0.5640  0.0031  0.0627  0.249  0.5914  0.38
Csalog 1996   83  0.3546  0.0085  0.0374  0.0373  0.0383  0.03
Czerny 1949   1  0.691  0.451  0.451  0.782  0.701  0.74
Czerny 1990   6  0.6019  0.0113  0.097  0.5637  0.2119  0.34
Duchoud 2007   81  0.3920  0.0063  0.0465  0.0443  0.1357  0.07
Ezaki 2006   9  0.5924  0.006  0.163  0.6514  0.563  0.60
Falvay 1989   69  0.4137  0.0074  0.0287  0.0270  0.0579  0.03
Farrell 1958   31  0.5226  0.0032  0.0628  0.2454  0.0640  0.12
Ferenczy 1958   80  0.4082  0.0084  0.0381  0.0362  0.0485  0.03
Fliere 1977   14  0.5760  0.0022  0.1017  0.4158  0.0535  0.14
Fou 1978   43  0.4977  0.0051  0.0461  0.0476  0.0471  0.04
Francois 1956   63  0.4441  0.0078  0.0384  0.0361  0.0489  0.03
Friedman 1923   56  0.4661  0.0059  0.0457  0.0440  0.1855  0.08
Friedman 1923b   57  0.4651  0.0058  0.0456  0.0441  0.1754  0.08
Friedman 1930   47  0.4857  0.0061  0.0548  0.0544  0.1452  0.08
Garcia 2007   35  0.5169  0.0038  0.0537  0.1319  0.4524  0.24
Garcia 2007b   42  0.4938  0.0039  0.0542  0.0938  0.1342  0.11
Gierzod 1998   10  0.5962  0.0015  0.1213  0.4654  0.0630  0.17
Gornostaeva 1994   4  0.6413  0.014  0.1612  0.4716  0.499  0.48
Groot 1988   65  0.4352  0.0060  0.0554  0.0566  0.0475  0.04
Harasiewicz 1955   5  0.645  0.052  0.232  0.6815  0.592  0.63
Hatto 1993   74  0.4183  0.0045  0.0645  0.0657  0.0568  0.05
Hatto 1997   71  0.4158  0.0044  0.0443  0.0743  0.1248  0.09
Horowitz 1949   36  0.5053  0.0054  0.0551  0.0529  0.4433  0.15
Indjic 1988   68  0.4233  0.0034  0.0539  0.1243  0.1241  0.12
Kapell 1951   8  0.5912  0.0111  0.134  0.6223  0.3310  0.45
Kissin 1993   12  0.5814  0.0114  0.0910  0.4842  0.2417  0.34
Kushner 1989   30  0.5248  0.0050  0.0462  0.0463  0.0572  0.04
Luisada 1991   77  0.4085  0.0080  0.0382  0.0374  0.0377  0.03
Lushtak 2004   73  0.4178  0.0072  0.0372  0.0375  0.0386  0.03
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   40  0.5055  0.0053  0.0547  0.0541  0.1351  0.08
Magin 1975   19  0.5679  0.0033  0.0529  0.2162  0.0446  0.09
Michalowski 1933   32  0.5273  0.0037  0.0636  0.1528  0.2825  0.20
Milkina 1970   3  0.6535  0.005  0.265  0.6124  0.475  0.54
Mohovich 1999   45  0.4863  0.0049  0.0553  0.0555  0.0566  0.05
Moravec 1969   29  0.539  0.0219  0.1018  0.4010  0.606  0.49
Morozova 2008   59  0.4630  0.0057  0.0550  0.0559  0.0563  0.05
Neighaus 1950   37  0.5054  0.0056  0.0552  0.0543  0.0959  0.07
Niedzielski 1931   20  0.5621  0.0026  0.0926  0.2525  0.3320  0.29
Ohlsson 1999   50  0.4764  0.0064  0.0467  0.0451  0.0573  0.04
Osinska 1989   13  0.5825  0.0016  0.1314  0.4657  0.0629  0.17
Pachmann 1927   66  0.4290  0.0071  0.0375  0.0333  0.2547  0.09
Paderewski 1930   54  0.4686  0.0040  0.0441  0.1128  0.3127  0.18
Perlemuter 1992   79  0.4067  0.0068  0.0466  0.0440  0.1550  0.08
Pierdomenico 2008   67  0.4232  0.0075  0.0286  0.0252  0.0681  0.03
Poblocka 1999   23  0.5456  0.0036  0.0531  0.1747  0.0643  0.10
Rabcewiczowa 1932   61  0.4428  0.0070  0.0373  0.0371  0.0482  0.03
Rachmaninoff 1923   18  0.5610  0.0210  0.138  0.5423  0.3112  0.41
Rangell 2001   27  0.5331  0.0017  0.1222  0.3312  0.4813  0.40
Richter 1976   22  0.5515  0.0123  0.1025  0.2820  0.5016  0.37
Rosen 1989   34  0.5170  0.0052  0.0458  0.0448  0.0665  0.05
Rosenthal 1930   28  0.538  0.0227  0.0633  0.1624  0.4023  0.25
Rosenthal 1931   51  0.4687  0.0076  0.0285  0.0233  0.2456  0.07
Rosenthal 1931b   60  0.4576  0.0077  0.0469  0.0432  0.2745  0.10
Rosenthal 1931c   41  0.4943  0.0042  0.0640  0.1126  0.3826  0.20
Rosenthal 1931d   48  0.4739  0.0062  0.0459  0.0426  0.4039  0.13
Rossi 2007   33  0.5122  0.0025  0.0820  0.355  0.5611  0.44
Rubinstein 1939   70  0.4129  0.0065  0.0460  0.0454  0.0570  0.04
Rubinstein 1952   84  0.3316  0.0181  0.0377  0.0376  0.0388  0.03
Rubinstein 1966   78  0.4047  0.0043  0.0444  0.0761  0.0561  0.06
Schilhawsky 1960   16  0.5617  0.0112  0.1215  0.4434  0.2618  0.34
Shebanova 2002   26  0.5465  0.0046  0.0464  0.0445  0.0862  0.06
Smith 1975   52  0.4689  0.0067  0.0463  0.0478  0.0380  0.03
Sokolov 2002   39  0.5011  0.0135  0.0534  0.1539  0.1237  0.13
Sztompka 1959   11  0.586  0.0418  0.1719  0.3854  0.0634  0.15
Tomsic 1995   64  0.4349  0.0073  0.0383  0.0344  0.1160  0.06
Uninsky 1932   15  0.573  0.088  0.1411  0.4816  0.488  0.48
Uninsky 1971   25  0.5436  0.0024  0.1121  0.3339  0.1922  0.25
Wasowski 1980   21  0.552  0.099  0.1016  0.4329  0.3115  0.37
Zak 1937   46  0.4874  0.0030  0.0735  0.1539  0.1436  0.14
Zak 1951   44  0.4868  0.0029  0.0532  0.1741  0.1332  0.15
Random 1   89  -0.0571  0.0088  0.0288  0.028  0.4744  0.10
Random 2   90  -0.1080  0.0090  0.0190  0.0173  0.0390  0.02
Random 3   88  -0.0284  0.0089  0.0289  0.0219  0.2858  0.07

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).