Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6552  0.0023  0.0917  0.4622  0.4519  0.45
Anderszewski 2003   43  0.5853  0.0050  0.0749  0.0737  0.2957  0.14
Ashkenazy 1981   20  0.6554  0.0024  0.1030  0.3212  0.4631  0.38
Bacha 2000   74  0.4655  0.0075  0.0571  0.0557  0.0480  0.04
Badura 1965   48  0.5656  0.0026  0.0737  0.1519  0.4639  0.26
Barbosa 1983   51  0.5557  0.0041  0.0539  0.1419  0.4938  0.26
Biret 1990   11  0.6715  0.006  0.124  0.675  0.634  0.65
Blet 2003   65  0.5158  0.0069  0.0570  0.0532  0.2069  0.10
Block 1995   60  0.5259  0.0059  0.0564  0.0519  0.3958  0.14
Blumental 1952   36  0.6021  0.0047  0.0653  0.0641  0.1371  0.09
Boshniakovich 1969   19  0.6560  0.008  0.129  0.585  0.628  0.60
Brailowsky 1960   77  0.457  0.0080  0.0566  0.0569  0.0577  0.05
Bunin 1987   64  0.5161  0.0068  0.0654  0.0611  0.4948  0.17
Bunin 1987b   68  0.5034  0.0067  0.0385  0.0310  0.4866  0.12
Chiu 1999   44  0.5862  0.0048  0.0748  0.073  0.5243  0.19
Cohen 1997   84  0.3963  0.0082  0.0482  0.0439  0.1274  0.07
Cortot 1951   80  0.4264  0.0081  0.0479  0.0459  0.0584  0.04
Csalog 1996   55  0.542  0.0054  0.0563  0.0515  0.4352  0.15
Czerny 1949   32  0.613  0.0033  0.0824  0.4128  0.4620  0.43
Czerny 1990   12  0.6735  0.0019  0.1016  0.4720  0.4717  0.47
Duchoud 2007   73  0.4836  0.0074  0.0560  0.0518  0.3264  0.13
Ezaki 2006   3  0.7137  0.007  0.137  0.616  0.665  0.63
Falvay 1989   46  0.5816  0.0029  0.0644  0.1129  0.3742  0.20
Farrell 1958   50  0.5665  0.0051  0.0652  0.0636  0.3062  0.13
Ferenczy 1958   62  0.5238  0.0070  0.0568  0.0537  0.2668  0.11
Fliere 1977   8  0.6817  0.0014  0.1312  0.5229  0.3126  0.40
Fou 1978   26  0.6339  0.0043  0.0640  0.1333  0.2444  0.18
Francois 1956   67  0.5066  0.0064  0.0481  0.0429  0.4065  0.13
Friedman 1923   39  0.604  0.0040  0.0538  0.1512  0.5235  0.28
Friedman 1923b   34  0.6112  0.0034  0.0833  0.2913  0.5528  0.40
Friedman 1930   29  0.6240  0.0025  0.0923  0.415  0.6513  0.52
Garcia 2007   72  0.4841  0.0076  0.0484  0.0458  0.0582  0.04
Garcia 2007b   63  0.5142  0.0065  0.0475  0.0459  0.0486  0.04
Gierzod 1998   4  0.7122  0.004  0.166  0.6321  0.5210  0.57
Gornostaeva 1994   54  0.5410  0.0037  0.0636  0.1921  0.3737  0.27
Groot 1988   57  0.5323  0.0042  0.0541  0.1316  0.3841  0.22
Harasiewicz 1955   6  0.6967  0.003  0.243  0.6710  0.663  0.66
Hatto 1993   15  0.6643  0.0022  0.1721  0.4522  0.3725  0.41
Hatto 1997   13  0.6718  0.0020  0.1019  0.4521  0.3824  0.41
Horowitz 1949   70  0.4868  0.0073  0.0561  0.0538  0.2767  0.12
Indjic 1988   14  0.6669  0.0021  0.1020  0.4522  0.3823  0.41
Kapell 1951   25  0.6370  0.0018  0.0922  0.4317  0.4022  0.41
Kissin 1993   5  0.7024  0.0012  0.148  0.5913  0.617  0.60
Kushner 1989   9  0.6825  0.0015  0.0910  0.5616  0.589  0.57
Luisada 1991   21  0.6471  0.0036  0.0934  0.2621  0.3534  0.30
Lushtak 2004   24  0.6344  0.0016  0.1025  0.419  0.5716  0.48
Malcuzynski 1961   71  0.4819  0.0038  0.0542  0.1333  0.1751  0.15
Magaloff 1978   58  0.5272  0.0066  0.0483  0.0451  0.0679  0.05
Magin 1975   16  0.6645  0.0017  0.1011  0.5617  0.4912  0.52
Michalowski 1933   79  0.4473  0.0072  0.0569  0.0525  0.3463  0.13
Milkina 1970   22  0.6313  0.0011  0.1218  0.4627  0.4518  0.45
Mohovich 1999   41  0.5974  0.0049  0.0751  0.0729  0.4147  0.17
Moravec 1969   82  0.4126  0.0084  0.0474  0.0475  0.0387  0.03
Morozova 2008   35  0.618  0.0045  0.0545  0.1028  0.3445  0.18
Neighaus 1950   53  0.5475  0.0052  0.0658  0.0626  0.3160  0.14
Niedzielski 1931   59  0.5276  0.0061  0.0750  0.0731  0.2755  0.14
Ohlsson 1999   23  0.6377  0.009  0.1514  0.5113  0.5214  0.51
Osinska 1989   7  0.689  0.005  0.115  0.6716  0.576  0.62
Pachmann 1927   76  0.4527  0.0079  0.0567  0.057  0.5049  0.16
Paderewski 1930   83  0.4128  0.0078  0.0478  0.0437  0.1772  0.08
Perlemuter 1992   49  0.5678  0.0056  0.0565  0.0515  0.4650  0.15
Pierdomenico 2008   69  0.5079  0.0063  0.0473  0.0413  0.4854  0.14
Poblocka 1999   28  0.6380  0.0031  0.0627  0.3529  0.4130  0.38
Rabcewiczowa 1932   61  0.5229  0.0060  0.0747  0.0756  0.0576  0.06
Rachmaninoff 1923   45  0.5830  0.0039  0.0535  0.2121  0.3636  0.27
Rangell 2001   75  0.4646  0.0071  0.0572  0.0522  0.3959  0.14
Richter 1976   52  0.545  0.0062  0.0746  0.0730  0.4246  0.17
Rosen 1989   27  0.6347  0.0030  0.0629  0.3216  0.4033  0.36
Rosenthal 1930   81  0.4214  0.0083  0.0477  0.0461  0.0388  0.03
Rosenthal 1931   88  0.3620  0.0087  0.0386  0.0350  0.0681  0.04
Rosenthal 1931b   85  0.3731  0.0086  0.0387  0.0352  0.0585  0.04
Rosenthal 1931c   86  0.376  0.0085  0.0288  0.0258  0.0489  0.03
Rosenthal 1931d   87  0.3681  0.0088  0.0480  0.0456  0.0583  0.04
Rossi 2007   78  0.4582  0.0077  0.0476  0.0448  0.0778  0.05
Rubinstein 1939   30  0.6248  0.0044  0.0643  0.1212  0.4240  0.22
Rubinstein 1952   33  0.6183  0.0027  0.0732  0.3021  0.4532  0.37
Rubinstein 1966   10  0.6884  0.0010  0.1115  0.509  0.6211  0.56
Schilhawsky 1960   31  0.6211  0.0028  0.0628  0.3323  0.4529  0.39
Shebanova 2002   18  0.6585  0.0013  0.1213  0.5221  0.4415  0.48
Smith 1975   42  0.5932  0.0053  0.0655  0.0626  0.3061  0.13
Sokolov 2002   37  0.6086  0.0035  0.0831  0.308  0.5327  0.40
Sztompka 1959   40  0.6087  0.0046  0.0659  0.0645  0.1570  0.09
Tomsic 1995   66  0.5049  0.0055  0.0562  0.0527  0.4056  0.14
Uninsky 1932   56  0.5350  0.0057  0.0656  0.0631  0.3753  0.15
Uninsky 1971   38  0.6051  0.0032  0.0726  0.3623  0.4821  0.42
Wasowski 1980   47  0.5788  0.0058  0.0657  0.0648  0.0775  0.06
Zak 1937   1  0.981  0.991  0.981  0.991  0.991  0.99
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Average   2  0.8033  0.002  0.712  0.8413  0.562  0.69
Random 1   91  -0.0889  0.0091  0.0191  0.0154  0.0491  0.02
Random 2   89  -0.0290  0.0090  0.0190  0.0153  0.0490  0.02
Random 3   90  -0.0591  0.0089  0.0289  0.0217  0.3173  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).