Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.4276  0.0051  0.0752  0.0738  0.1651  0.11
Anderszewski 2003   16  0.5423  0.0011  0.149  0.6724  0.4711  0.56
Ashkenazy 1981   20  0.5316  0.0141  0.1041  0.266  0.4931  0.36
Bacha 2000   62  0.3355  0.0073  0.0471  0.0456  0.0466  0.04
Badura 1965   50  0.4282  0.0045  0.0949  0.0919  0.3844  0.18
Barbosa 1983   9  0.5718  0.0125  0.0816  0.5535  0.2629  0.38
Biret 1990   54  0.4077  0.0054  0.0559  0.0584  0.0375  0.04
Blet 2003   57  0.3828  0.0063  0.0560  0.0554  0.0560  0.05
Block 1995   45  0.4569  0.0040  0.0936  0.3527  0.3334  0.34
Blumental 1952   58  0.3658  0.0067  0.0655  0.0676  0.0462  0.05
Boshniakovich 1969   19  0.5347  0.0010  0.1610  0.6214  0.4415  0.52
Brailowsky 1960   65  0.3260  0.0074  0.0472  0.0471  0.0468  0.04
Bunin 1987   69  0.2953  0.0078  0.0382  0.0378  0.0383  0.03
Bunin 1987b   72  0.2832  0.0079  0.0478  0.0475  0.0472  0.04
Chiu 1999   55  0.3938  0.0057  0.0566  0.0556  0.0659  0.05
Cohen 1997   78  0.2661  0.0077  0.0380  0.0379  0.0382  0.03
Cortot 1951   70  0.2936  0.0053  0.0557  0.0542  0.2152  0.10
Csalog 1996   46  0.4434  0.0039  0.0934  0.3933  0.2336  0.30
Czerny 1949   11  0.578  0.039  0.188  0.6824  0.606  0.64
Czerny 1990   4  0.6215  0.015  0.265  0.7417  0.675  0.70
Duchoud 2007   68  0.3078  0.0076  0.0563  0.0556  0.0561  0.05
Ezaki 2006   8  0.5817  0.0112  0.0811  0.6127  0.3320  0.45
Falvay 1989   12  0.5641  0.0035  0.0730  0.4244  0.1440  0.24
Farrell 1958   41  0.4619  0.0134  0.0837  0.3429  0.3633  0.35
Ferenczy 1958   59  0.3659  0.0064  0.0753  0.0759  0.0557  0.06
Fliere 1977   48  0.4445  0.0049  0.1046  0.1046  0.0653  0.08
Fou 1978   10  0.5722  0.0023  0.0613  0.5813  0.4813  0.53
Francois 1956   64  0.3262  0.0071  0.0562  0.0558  0.0565  0.05
Friedman 1923   74  0.2863  0.0065  0.0470  0.0464  0.0577  0.04
Friedman 1923b   71  0.2964  0.0060  0.0565  0.0550  0.0663  0.05
Friedman 1930   85  0.2165  0.0084  0.0476  0.0481  0.0380  0.03
Garcia 2007   80  0.2486  0.0070  0.0477  0.0468  0.0474  0.04
Garcia 2007b   67  0.3054  0.0059  0.0474  0.0467  0.0576  0.04
Gierzod 1998   1  0.643  0.083  0.244  0.7514  0.528  0.62
Gornostaeva 1994   40  0.4657  0.0048  0.0947  0.0948  0.0655  0.07
Groot 1988   73  0.2866  0.0066  0.0561  0.0564  0.0564  0.05
Harasiewicz 1955   2  0.642  0.192  0.231  0.798  0.644  0.71
Hatto 1993   43  0.4556  0.0031  0.0740  0.3037  0.2139  0.25
Hatto 1997   33  0.486  0.0418  0.1025  0.4733  0.3427  0.40
Horowitz 1949   81  0.2383  0.0081  0.0383  0.0351  0.0673  0.04
Indjic 1988   38  0.4812  0.0120  0.0732  0.4034  0.2835  0.33
Kapell 1951   25  0.5139  0.0029  0.0926  0.4736  0.3028  0.38
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   15  0.5529  0.0016  0.1017  0.5538  0.3025  0.41
Luisada 1991   51  0.4242  0.0061  0.0469  0.0451  0.0567  0.04
Lushtak 2004   23  0.5149  0.0027  0.1019  0.5233  0.3422  0.42
Malcuzynski 1961   36  0.487  0.0315  0.0823  0.5132  0.3721  0.43
Magaloff 1978   37  0.4837  0.0044  0.1144  0.2041  0.1643  0.18
Magin 1975   30  0.4946  0.0036  0.0835  0.3628  0.3432  0.35
Michalowski 1933   83  0.2279  0.0069  0.0473  0.0422  0.3848  0.12
Milkina 1970   24  0.5148  0.0021  0.0727  0.4742  0.1338  0.25
Mohovich 1999   49  0.4387  0.0046  0.1145  0.1162  0.0454  0.07
Moravec 1969   27  0.5033  0.0042  0.1138  0.3341  0.1542  0.22
Morozova 2008   26  0.5143  0.0028  0.1221  0.5118  0.5017  0.50
Neighaus 1950   31  0.4913  0.0138  0.0831  0.423  0.6116  0.51
Niedzielski 1931   76  0.2667  0.0075  0.0475  0.0470  0.0471  0.04
Ohlsson 1999   44  0.4540  0.0047  0.0850  0.0838  0.2247  0.13
Osinska 1989   13  0.5670  0.0022  0.0614  0.5638  0.2430  0.37
Pachmann 1927   60  0.3635  0.0055  0.0556  0.0514  0.4746  0.15
Paderewski 1930   82  0.2272  0.0072  0.0654  0.0645  0.0756  0.06
Perlemuter 1992   61  0.3651  0.0068  0.0468  0.0446  0.0658  0.05
Pierdomenico 2008   63  0.3388  0.0058  0.0467  0.0467  0.0470  0.04
Poblocka 1999   17  0.544  0.077  0.1420  0.5130  0.3323  0.41
Rabcewiczowa 1932   66  0.3168  0.0056  0.0564  0.0583  0.0278  0.03
Rachmaninoff 1923   79  0.2550  0.0080  0.0381  0.0383  0.0285  0.02
Rangell 2001   28  0.5030  0.0030  0.0829  0.429  0.5519  0.48
Richter 1976   6  0.609  0.036  0.216  0.723  0.702  0.71
Rosen 1989   39  0.4714  0.0133  0.0843  0.2338  0.2441  0.23
Rosenthal 1930   84  0.2189  0.0085  0.0386  0.0380  0.0381  0.03
Rosenthal 1931   77  0.2673  0.0082  0.0384  0.0371  0.0479  0.03
Rosenthal 1931b   86  0.1784  0.0087  0.0385  0.0381  0.0290  0.02
Rosenthal 1931c   75  0.2680  0.0083  0.0479  0.0478  0.0384  0.03
Rosenthal 1931d   87  0.1790  0.0086  0.0287  0.0284  0.0289  0.02
Rossi 2007   56  0.3881  0.0052  0.0851  0.0825  0.3245  0.16
Rubinstein 1939   35  0.4810  0.0219  0.0833  0.4024  0.4224  0.41
Rubinstein 1952   7  0.5820  0.018  0.157  0.6923  0.489  0.58
Rubinstein 1966   3  0.631  0.291  0.292  0.7714  0.653  0.71
Schilhawsky 1960   47  0.4431  0.0050  0.0948  0.0943  0.1549  0.12
Shebanova 2002   34  0.4824  0.0032  0.0739  0.3128  0.3037  0.30
Smith 1975   53  0.4144  0.0062  0.0558  0.0564  0.0469  0.04
Sokolov 2002   14  0.5527  0.0026  0.1012  0.581  0.697  0.63
Sztompka 1959   5  0.615  0.054  0.263  0.773  0.761  0.76
Tomsic 1995   32  0.4921  0.0113  0.0824  0.5015  0.4918  0.49
Uninsky 1932   42  0.4552  0.0014  0.0922  0.5110  0.6410  0.57
Uninsky 1971   21  0.5226  0.0024  0.0718  0.5419  0.5114  0.52
Wasowski 1980   22  0.5211  0.0217  0.1415  0.5514  0.5312  0.54
Zak 1937   18  0.5325  0.0037  0.0828  0.4330  0.3826  0.40
Zak 1951   29  0.4985  0.0043  0.1142  0.2356  0.0550  0.11
Random 1   89  -0.0374  0.0089  0.0189  0.0153  0.0487  0.02
Random 2   88  -0.0271  0.0090  0.0190  0.0147  0.0586  0.02
Random 3   90  -0.0975  0.0088  0.0188  0.0148  0.0588  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).