Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.634  0.076  0.148  0.5311  0.5310  0.53
Anderszewski 2003   58  0.5162  0.0059  0.0558  0.0539  0.1368  0.08
Ashkenazy 1981   12  0.615  0.078  0.149  0.5110  0.5413  0.52
Bacha 2000   62  0.5080  0.0070  0.0559  0.0525  0.3657  0.13
Badura 1965   71  0.4567  0.0069  0.0472  0.0441  0.2167  0.09
Barbosa 1983   72  0.4555  0.0066  0.0746  0.0738  0.2061  0.12
Biret 1990   28  0.5728  0.0147  0.0648  0.0626  0.2958  0.13
Blet 2003   33  0.5551  0.0039  0.0531  0.223  0.5725  0.35
Block 1995   48  0.527  0.0324  0.0729  0.239  0.4830  0.33
Blumental 1952   79  0.4083  0.0075  0.0479  0.0446  0.0677  0.05
Boshniakovich 1969   1  0.671  0.231  0.221  0.664  0.681  0.67
Brailowsky 1960   70  0.4865  0.0074  0.0567  0.0550  0.0675  0.05
Bunin 1987   43  0.5345  0.0049  0.0471  0.0413  0.4655  0.14
Bunin 1987b   49  0.5233  0.0054  0.0564  0.0513  0.4753  0.15
Chiu 1999   54  0.5132  0.0046  0.0555  0.0517  0.4550  0.15
Cohen 1997   85  0.3356  0.0084  0.0286  0.0266  0.0488  0.03
Cortot 1951   63  0.5054  0.0048  0.0651  0.0617  0.4349  0.16
Csalog 1996   82  0.3660  0.0083  0.0287  0.0270  0.0487  0.03
Czerny 1949   11  0.618  0.039  0.0913  0.489  0.608  0.54
Czerny 1990   27  0.5844  0.0035  0.0636  0.2039  0.1643  0.18
Duchoud 2007   56  0.5147  0.0061  0.0552  0.0523  0.3754  0.14
Ezaki 2006   25  0.5868  0.0034  0.0641  0.1341  0.1456  0.13
Falvay 1989   66  0.4974  0.0071  0.0478  0.0446  0.0776  0.05
Farrell 1958   22  0.5971  0.0032  0.0538  0.193  0.5729  0.33
Ferenczy 1958   73  0.4375  0.0076  0.0382  0.0342  0.1373  0.06
Fliere 1977   4  0.666  0.053  0.192  0.6214  0.542  0.58
Fou 1978   29  0.5721  0.0114  0.0820  0.4021  0.4221  0.41
Francois 1956   10  0.6115  0.0112  0.1014  0.482  0.693  0.58
Friedman 1923   65  0.4972  0.0037  0.0539  0.155  0.6033  0.30
Friedman 1923b   61  0.5036  0.0029  0.0537  0.204  0.6424  0.36
Friedman 1930   44  0.5348  0.0043  0.0642  0.135  0.5837  0.27
Garcia 2007   78  0.4153  0.0077  0.0476  0.0442  0.1271  0.07
Garcia 2007b   77  0.4287  0.0072  0.0565  0.0529  0.2065  0.10
Gierzod 1998   6  0.6423  0.017  0.144  0.5710  0.529  0.54
Gornostaeva 1994   8  0.6311  0.0220  0.1417  0.4312  0.5616  0.49
Groot 1988   23  0.5858  0.0021  0.1221  0.3915  0.4520  0.42
Harasiewicz 1955   19  0.602  0.162  0.175  0.5715  0.4714  0.52
Hatto 1993   59  0.5076  0.0040  0.0534  0.2116  0.3638  0.27
Hatto 1997   47  0.5227  0.0127  0.0727  0.2819  0.3232  0.30
Horowitz 1949   35  0.5561  0.0052  0.0563  0.0512  0.5744  0.17
Indjic 1988   55  0.5178  0.0041  0.0735  0.2116  0.3535  0.27
Kapell 1951   50  0.5286  0.0063  0.0556  0.0557  0.0482  0.04
Kissin 1993   15  0.6046  0.0017  0.1318  0.4317  0.4918  0.46
Kushner 1989   31  0.5763  0.0051  0.0470  0.0464  0.0581  0.04
Luisada 1991   38  0.5430  0.0042  0.0740  0.1435  0.2842  0.20
Lushtak 2004   14  0.6018  0.0118  0.1219  0.4110  0.5317  0.47
Malcuzynski 1961   16  0.6043  0.0030  0.0528  0.2716  0.3631  0.31
Magaloff 1978   18  0.6038  0.0026  0.0625  0.3020  0.3928  0.34
Magin 1975   53  0.5266  0.0053  0.0553  0.0535  0.1666  0.09
Michalowski 1933   69  0.4824  0.0160  0.0745  0.0713  0.4346  0.17
Milkina 1970   40  0.5449  0.0055  0.0566  0.0553  0.0772  0.06
Mohovich 1999   26  0.5859  0.0028  0.0624  0.3026  0.4126  0.35
Moravec 1969   80  0.3977  0.0080  0.0481  0.0453  0.0479  0.04
Morozova 2008   37  0.5412  0.0231  0.0530  0.2321  0.3136  0.27
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   68  0.4842  0.0062  0.0475  0.0423  0.3759  0.12
Ohlsson 1999   2  0.673  0.094  0.186  0.575  0.574  0.57
Osinska 1989   17  0.6050  0.0022  0.1122  0.3323  0.4423  0.38
Pachmann 1927   60  0.5031  0.0067  0.0557  0.058  0.5545  0.17
Paderewski 1930   45  0.5326  0.0145  0.0554  0.053  0.4947  0.16
Perlemuter 1992   34  0.5522  0.0123  0.0723  0.327  0.5122  0.40
Pierdomenico 2008   64  0.4916  0.0164  0.0561  0.0510  0.4751  0.15
Poblocka 1999   30  0.579  0.0225  0.0926  0.3020  0.3927  0.34
Rabcewiczowa 1932   39  0.5457  0.0056  0.0649  0.0620  0.3752  0.15
Rachmaninoff 1923   52  0.5235  0.0036  0.0532  0.2126  0.3039  0.25
Rangell 2001   41  0.5320  0.0157  0.0650  0.0613  0.4548  0.16
Richter 1976   67  0.4937  0.0068  0.0569  0.0533  0.2860  0.12
Rosen 1989   9  0.6225  0.0119  0.1511  0.509  0.5711  0.53
Rosenthal 1930   76  0.4388  0.0078  0.0473  0.0436  0.1769  0.08
Rosenthal 1931   86  0.3382  0.0086  0.0383  0.0355  0.0486  0.03
Rosenthal 1931b   83  0.3581  0.0081  0.0480  0.0453  0.0584  0.04
Rosenthal 1931c   75  0.4364  0.0079  0.0568  0.0543  0.1270  0.08
Rosenthal 1931d   84  0.3484  0.0087  0.0477  0.0459  0.0483  0.04
Rossi 2007   87  0.3289  0.0085  0.0384  0.0349  0.0580  0.04
Rubinstein 1939   81  0.3669  0.0082  0.0285  0.0258  0.0585  0.03
Rubinstein 1952   74  0.4352  0.0073  0.0562  0.0563  0.0578  0.05
Rubinstein 1966   42  0.5370  0.0065  0.0647  0.0639  0.2263  0.11
Schilhawsky 1960   36  0.5440  0.0044  0.0644  0.1219  0.4840  0.24
Shebanova 2002   5  0.6429  0.0016  0.117  0.549  0.567  0.55
Smith 1975   21  0.5941  0.0015  0.0915  0.445  0.5415  0.49
Sokolov 2002   24  0.5839  0.0033  0.0633  0.2124  0.3434  0.27
Sztompka 1959   3  0.6717  0.015  0.133  0.596  0.546  0.56
Tomsic 1995   51  0.5219  0.0158  0.0560  0.0535  0.2362  0.11
Uninsky 1932   57  0.5179  0.0050  0.0474  0.0426  0.3264  0.11
Uninsky 1971   32  0.5713  0.0113  0.0816  0.4411  0.4719  0.45
Wasowski 1980   46  0.5234  0.0038  0.0543  0.1319  0.3841  0.22
Zak 1937   13  0.6110  0.0211  0.1110  0.517  0.615  0.56
Zak 1951   20  0.5914  0.0110  0.0812  0.507  0.5412  0.52
Random 1   89  -0.0473  0.0088  0.0288  0.0230  0.2074  0.06
Random 2   90  -0.0890  0.0090  0.0190  0.0189  0.0190  0.01
Random 3   88  -0.0385  0.0089  0.0289  0.0275  0.0389  0.02

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).