Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5682  0.0045  0.0943  0.1840  0.1243  0.15
Anderszewski 2003   73  0.3472  0.0068  0.0470  0.0477  0.0378  0.03
Ashkenazy 1981   13  0.643  0.133  0.276  0.648  0.566  0.60
Bacha 2000   51  0.4673  0.0061  0.0557  0.0529  0.3345  0.13
Badura 1965   50  0.4768  0.0047  0.0651  0.0618  0.3844  0.15
Barbosa 1983   55  0.4330  0.0052  0.0746  0.0751  0.0558  0.06
Biret 1990   59  0.4280  0.0064  0.0555  0.0560  0.0472  0.04
Blet 2003   38  0.5465  0.0051  0.0647  0.0645  0.0956  0.07
Block 1995   16  0.6154  0.0030  0.0827  0.3115  0.4124  0.36
Blumental 1952   69  0.3639  0.0057  0.0463  0.0450  0.0571  0.04
Boshniakovich 1969   18  0.6023  0.0028  0.0824  0.3418  0.5120  0.42
Brailowsky 1960   45  0.5045  0.0054  0.0553  0.0535  0.1748  0.09
Bunin 1987   62  0.3975  0.0082  0.0461  0.0475  0.0383  0.03
Bunin 1987b   61  0.3990  0.0081  0.0383  0.0378  0.0376  0.03
Chiu 1999   46  0.4849  0.0033  0.0733  0.2820  0.4425  0.35
Cohen 1997   80  0.3029  0.0072  0.0473  0.0448  0.0665  0.05
Cortot 1951   68  0.3650  0.0080  0.0287  0.0279  0.0390  0.02
Csalog 1996   49  0.479  0.0126  0.0645  0.166  0.5730  0.30
Czerny 1949   65  0.3876  0.0065  0.0464  0.0476  0.0381  0.03
Czerny 1990   14  0.6335  0.0021  0.0717  0.4316  0.4021  0.41
Duchoud 2007   56  0.4374  0.0046  0.0650  0.0657  0.0564  0.05
Ezaki 2006   17  0.6140  0.0035  0.0728  0.3132  0.2433  0.27
Falvay 1989   6  0.6958  0.008  0.119  0.567  0.559  0.55
Farrell 1958   66  0.3731  0.0076  0.0468  0.0468  0.0374  0.03
Ferenczy 1958   78  0.3155  0.0084  0.0384  0.0383  0.0287  0.02
Fliere 1977   7  0.6822  0.007  0.115  0.684  0.663  0.67
Fou 1978   2  0.732  0.262  0.362  0.731  0.692  0.71
Francois 1956   42  0.5224  0.0037  0.0740  0.1941  0.1541  0.17
Friedman 1923   88  0.0351  0.0088  0.0286  0.0278  0.0391  0.02
Friedman 1923b   87  0.0383  0.0087  0.0289  0.0268  0.0484  0.03
Friedman 1930   85  0.1666  0.0078  0.0381  0.0362  0.0480  0.03
Garcia 2007   83  0.2184  0.0085  0.0475  0.0473  0.0382  0.03
Garcia 2007b   86  0.1333  0.0086  0.0377  0.0374  0.0385  0.03
Gierzod 1998   47  0.4846  0.0034  0.0744  0.1727  0.2140  0.19
Gornostaeva 1994   29  0.5737  0.0022  0.0831  0.3032  0.2434  0.27
Groot 1988   12  0.6510  0.0115  0.1015  0.4616  0.4317  0.44
Harasiewicz 1955   43  0.5114  0.0124  0.0726  0.3228  0.2432  0.28
Hatto 1993   79  0.3136  0.0039  0.0842  0.1858  0.0453  0.08
Hatto 1997   81  0.2885  0.0053  0.0652  0.0677  0.0369  0.04
Horowitz 1949   41  0.528  0.0229  0.0835  0.2510  0.4228  0.32
Indjic 1988   77  0.3167  0.0038  0.0741  0.1868  0.0451  0.08
Kapell 1951   54  0.4434  0.0066  0.0462  0.0481  0.0375  0.03
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   10  0.6727  0.0010  0.127  0.586  0.645  0.61
Luisada 1991   23  0.5726  0.009  0.1018  0.428  0.4716  0.44
Lushtak 2004   34  0.5628  0.0040  0.0730  0.3131  0.3031  0.30
Malcuzynski 1961   3  0.736  0.034  0.174  0.682  0.644  0.66
Magaloff 1978   9  0.6813  0.0112  0.1410  0.568  0.4611  0.51
Magin 1975   15  0.6311  0.0111  0.1211  0.562  0.618  0.58
Michalowski 1933   82  0.2161  0.0079  0.0285  0.0280  0.0386  0.02
Milkina 1970   11  0.6686  0.0013  0.1312  0.536  0.5310  0.53
Mohovich 1999   27  0.5741  0.0044  0.0939  0.1935  0.2237  0.20
Moravec 1969   24  0.5742  0.0020  0.0820  0.379  0.4818  0.42
Morozova 2008   39  0.5381  0.0043  0.0738  0.2148  0.0647  0.11
Neighaus 1950   25  0.5738  0.0031  0.0725  0.3241  0.1338  0.20
Niedzielski 1931   71  0.3652  0.0069  0.0379  0.0337  0.1257  0.06
Ohlsson 1999   37  0.5444  0.0017  0.0821  0.3719  0.3227  0.34
Osinska 1989   40  0.5391  0.0048  0.0554  0.0555  0.0560  0.05
Pachmann 1927   48  0.4818  0.0049  0.0648  0.0620  0.4542  0.16
Paderewski 1930   20  0.595  0.0416  0.1034  0.2617  0.4029  0.32
Perlemuter 1992   32  0.5616  0.0041  0.0837  0.2129  0.3035  0.25
Pierdomenico 2008   33  0.5669  0.0023  0.0619  0.414  0.6112  0.50
Poblocka 1999   35  0.5547  0.0050  0.0649  0.0674  0.0461  0.05
Rabcewiczowa 1932   76  0.3262  0.0083  0.0472  0.0475  0.0373  0.03
Rachmaninoff 1923   70  0.3663  0.0056  0.0459  0.0459  0.0467  0.04
Rangell 2001   21  0.5948  0.0025  0.0623  0.359  0.4722  0.41
Richter 1976   19  0.6012  0.0127  0.0729  0.3118  0.3726  0.34
Rosen 1989   36  0.5477  0.0042  0.0836  0.2234  0.2236  0.22
Rosenthal 1930   67  0.3770  0.0077  0.0471  0.0458  0.0470  0.04
Rosenthal 1931   72  0.3553  0.0070  0.0376  0.0331  0.2252  0.08
Rosenthal 1931b   75  0.3378  0.0075  0.0474  0.0440  0.1554  0.08
Rosenthal 1931c   53  0.4564  0.0063  0.0466  0.0440  0.1555  0.08
Rosenthal 1931d   63  0.3887  0.0074  0.0378  0.0336  0.1459  0.06
Rossi 2007   74  0.3379  0.0062  0.0467  0.0414  0.3546  0.12
Rubinstein 1939   84  0.2188  0.0071  0.0382  0.0335  0.2050  0.08
Rubinstein 1952   8  0.6832  0.0014  0.128  0.583  0.627  0.60
Rubinstein 1966   26  0.5717  0.0032  0.0622  0.359  0.5019  0.42
Schilhawsky 1960   64  0.3856  0.0073  0.0380  0.0379  0.0379  0.03
Shebanova 2002   1  0.771  0.321  0.311  0.811  0.791  0.80
Smith 1975   31  0.5620  0.0036  0.0732  0.2942  0.1339  0.19
Sokolov 2002   44  0.5143  0.0055  0.0556  0.0560  0.0562  0.05
Sztompka 1959   52  0.4615  0.0158  0.0558  0.0574  0.0468  0.04
Tomsic 1995   5  0.704  0.066  0.1613  0.4811  0.4715  0.47
Uninsky 1932   58  0.4225  0.0059  0.0469  0.0448  0.0663  0.05
Uninsky 1971   60  0.4121  0.0067  0.0465  0.0475  0.0377  0.03
Wasowski 1980   57  0.4257  0.0060  0.0460  0.0460  0.0566  0.04
Zak 1937   28  0.5719  0.0019  0.0916  0.4510  0.5114  0.48
Zak 1951   22  0.5959  0.0018  0.1014  0.4712  0.5113  0.49
Average   4  0.737  0.025  0.193  0.6934  0.2323  0.40
Random 1   89  0.0060  0.0089  0.0288  0.0212  0.3949  0.09
Random 2   91  -0.0389  0.0091  0.0191  0.0150  0.0588  0.02
Random 3   90  0.0071  0.0090  0.0190  0.0152  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).