Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6623  0.0023  0.0921  0.4423  0.4520  0.44
Anderszewski 2003   41  0.606  0.0049  0.0750  0.0735  0.3057  0.14
Ashkenazy 1981   19  0.6537  0.0024  0.1030  0.3213  0.4630  0.38
Bacha 2000   76  0.4755  0.0075  0.0567  0.0552  0.0578  0.05
Badura 1965   51  0.5538  0.0027  0.0639  0.1520  0.4437  0.26
Barbosa 1983   50  0.554  0.0042  0.0643  0.1320  0.4738  0.25
Biret 1990   12  0.6739  0.0011  0.155  0.677  0.607  0.63
Blet 2003   61  0.5240  0.0065  0.0479  0.0430  0.2271  0.09
Block 1995   57  0.5441  0.0055  0.0561  0.0517  0.4352  0.15
Blumental 1952   36  0.6111  0.0045  0.0545  0.0943  0.1368  0.11
Boshniakovich 1969   18  0.6556  0.008  0.119  0.606  0.628  0.61
Brailowsky 1960   75  0.479  0.0079  0.0566  0.0572  0.0480  0.04
Bunin 1987   66  0.5057  0.0071  0.0470  0.0415  0.4658  0.14
Bunin 1987b   70  0.4958  0.0072  0.0748  0.0717  0.4544  0.18
Chiu 1999   45  0.5959  0.0047  0.0564  0.056  0.5047  0.16
Cohen 1997   84  0.3960  0.0082  0.0385  0.0353  0.0583  0.04
Cortot 1951   79  0.4461  0.0081  0.0563  0.0543  0.1174  0.07
Csalog 1996   59  0.5324  0.0057  0.0655  0.0617  0.4148  0.16
Czerny 1949   28  0.6262  0.0032  0.0922  0.4327  0.4619  0.44
Czerny 1990   10  0.6810  0.0016  0.0912  0.5316  0.4912  0.51
Duchoud 2007   72  0.4842  0.0074  0.0565  0.0526  0.2765  0.12
Ezaki 2006   5  0.7143  0.007  0.158  0.627  0.645  0.63
Falvay 1989   42  0.5925  0.0026  0.0642  0.1328  0.3841  0.22
Farrell 1958   56  0.5426  0.0050  0.0658  0.0638  0.2562  0.12
Ferenczy 1958   54  0.5444  0.0063  0.0474  0.0425  0.3964  0.12
Fliere 1977   8  0.6945  0.0010  0.1310  0.5525  0.3518  0.44
Fou 1978   21  0.6446  0.0037  0.0635  0.2327  0.3235  0.27
Francois 1956   67  0.5047  0.0068  0.0568  0.0533  0.3167  0.12
Friedman 1923   37  0.613  0.0036  0.0836  0.2111  0.5333  0.33
Friedman 1923b   35  0.6112  0.0029  0.0828  0.3511  0.5622  0.44
Friedman 1930   29  0.6215  0.0025  0.0726  0.398  0.6214  0.49
Garcia 2007   77  0.4763  0.0077  0.0384  0.0367  0.0487  0.03
Garcia 2007b   65  0.5127  0.0066  0.0475  0.0450  0.0585  0.04
Gierzod 1998   4  0.7117  0.004  0.137  0.6322  0.529  0.57
Gornostaeva 1994   55  0.5464  0.0041  0.0738  0.1831  0.2940  0.23
Groot 1988   63  0.5165  0.0046  0.0469  0.0421  0.3369  0.11
Harasiewicz 1955   6  0.7013  0.003  0.374  0.708  0.692  0.69
Hatto 1993   17  0.6648  0.0018  0.0819  0.4520  0.3829  0.41
Hatto 1997   15  0.6766  0.0019  0.0920  0.4520  0.3927  0.42
Horowitz 1949   69  0.4967  0.0070  0.0382  0.0339  0.2670  0.09
Indjic 1988   14  0.6720  0.0020  0.1518  0.4521  0.3926  0.42
Kapell 1951   24  0.6318  0.0014  0.0917  0.4518  0.4024  0.42
Kissin 1993   3  0.7268  0.006  0.176  0.6510  0.634  0.64
Kushner 1989   11  0.6869  0.0021  0.1113  0.5325  0.5211  0.52
Luisada 1991   22  0.6421  0.0040  0.0737  0.1831  0.2939  0.23
Lushtak 2004   26  0.635  0.0017  0.1027  0.3813  0.5221  0.44
Malcuzynski 1961   71  0.4870  0.0038  0.0540  0.1436  0.1555  0.14
Magaloff 1978   58  0.5371  0.0067  0.0471  0.0471  0.0481  0.04
Magin 1975   20  0.6549  0.0022  0.0914  0.5220  0.4515  0.48
Michalowski 1933   80  0.4472  0.0073  0.0754  0.0724  0.3450  0.15
Milkina 1970   25  0.6373  0.0015  0.1024  0.4130  0.4325  0.42
Mohovich 1999   43  0.5974  0.0051  0.0752  0.0737  0.3153  0.15
Moravec 1969   81  0.4228  0.0084  0.0473  0.0453  0.0579  0.04
Morozova 2008   40  0.6029  0.0048  0.0657  0.0632  0.3060  0.13
Neighaus 1950   49  0.5522  0.0052  0.0751  0.0725  0.3549  0.16
Niedzielski 1931   60  0.5275  0.0060  0.0749  0.0729  0.2854  0.14
Ohlsson 1999   27  0.6376  0.009  0.1416  0.4816  0.4816  0.48
Osinska 1989   7  0.7077  0.005  0.173  0.7018  0.576  0.63
Pachmann 1927   73  0.4750  0.0078  0.0383  0.039  0.5063  0.12
Paderewski 1930   83  0.4178  0.0080  0.0478  0.0444  0.1172  0.07
Perlemuter 1992   47  0.572  0.0058  0.0656  0.0617  0.4546  0.16
Pierdomenico 2008   68  0.4951  0.0064  0.0476  0.0418  0.4359  0.13
Poblocka 1999   23  0.6479  0.0030  0.0925  0.4026  0.4328  0.41
Rabcewiczowa 1932   62  0.5280  0.0061  0.0847  0.0865  0.0477  0.06
Rachmaninoff 1923   46  0.5881  0.0043  0.0641  0.1427  0.2843  0.20
Rangell 2001   74  0.4730  0.0069  0.0472  0.0423  0.3966  0.12
Richter 1976   52  0.5531  0.0062  0.0846  0.0832  0.4245  0.18
Rosen 1989   31  0.6232  0.0039  0.0534  0.2321  0.3734  0.29
Rosenthal 1930   82  0.4282  0.0083  0.0481  0.0460  0.0482  0.04
Rosenthal 1931   87  0.3733  0.0085  0.0288  0.0261  0.0486  0.03
Rosenthal 1931b   85  0.3852  0.0086  0.0387  0.0354  0.0584  0.04
Rosenthal 1931c   86  0.3883  0.0087  0.0386  0.0369  0.0389  0.03
Rosenthal 1931d   88  0.378  0.0088  0.0477  0.0477  0.0388  0.03
Rossi 2007   78  0.4653  0.0076  0.0480  0.0446  0.0976  0.06
Rubinstein 1939   30  0.6234  0.0044  0.0544  0.1113  0.4142  0.21
Rubinstein 1952   38  0.6084  0.0033  0.0832  0.2619  0.4732  0.35
Rubinstein 1966   9  0.687  0.0013  0.1315  0.5111  0.5910  0.55
Schilhawsky 1960   32  0.6285  0.0034  0.0831  0.2824  0.4431  0.35
Shebanova 2002   13  0.6786  0.0012  0.1511  0.5418  0.4613  0.50
Smith 1975   44  0.5987  0.0054  0.0562  0.0529  0.2761  0.12
Sokolov 2002   39  0.6014  0.0031  0.0729  0.347  0.5323  0.42
Sztompka 1959   34  0.6116  0.0035  0.0633  0.2637  0.2636  0.26
Tomsic 1995   64  0.5188  0.0056  0.0560  0.0528  0.3956  0.14
Uninsky 1932   53  0.5454  0.0053  0.0659  0.0629  0.3951  0.15
Uninsky 1971   33  0.6135  0.0028  0.0723  0.4219  0.5117  0.46
Wasowski 1980   48  0.5789  0.0059  0.0753  0.0753  0.0675  0.06
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  0.991  0.981  0.991  0.991  0.99
Average   2  0.8019  0.002  0.682  0.8418  0.533  0.67
Random 1   91  -0.0890  0.0091  0.0191  0.0152  0.0491  0.02
Random 2   89  -0.0336  0.0090  0.0190  0.0150  0.0490  0.02
Random 3   90  -0.0691  0.0089  0.0289  0.0228  0.2473  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).