Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.778  0.039  0.228  0.627  0.527  0.57
Anderszewski 2003   65  0.5388  0.0072  0.0459  0.0474  0.0386  0.03
Ashkenazy 1981   34  0.6516  0.0121  0.0728  0.2431  0.2634  0.25
Bacha 2000   73  0.4989  0.0055  0.0554  0.0562  0.0563  0.05
Badura 1965   43  0.6320  0.0043  0.0539  0.148  0.4633  0.25
Barbosa 1983   82  0.4348  0.0076  0.0376  0.0370  0.0485  0.03
Biret 1990   49  0.6063  0.0053  0.0648  0.0648  0.0662  0.06
Blet 2003   31  0.6647  0.0036  0.0545  0.1028  0.2643  0.16
Block 1995   38  0.6442  0.0052  0.0553  0.0519  0.3447  0.13
Blumental 1952   77  0.4752  0.0059  0.0375  0.0368  0.0388  0.03
Boshniakovich 1969   11  0.746  0.0412  0.1615  0.437  0.5712  0.50
Brailowsky 1960   48  0.6057  0.0058  0.0652  0.0629  0.3046  0.13
Bunin 1987   74  0.4777  0.0084  0.0380  0.0360  0.0489  0.03
Bunin 1987b   76  0.4778  0.0083  0.0378  0.0360  0.0572  0.04
Chiu 1999   63  0.5543  0.0048  0.0555  0.0530  0.2553  0.11
Cohen 1997   86  0.3450  0.0086  0.0461  0.0453  0.0579  0.04
Cortot 1951   59  0.5680  0.0078  0.0388  0.0356  0.0581  0.04
Csalog 1996   67  0.5219  0.0144  0.0543  0.1211  0.4536  0.23
Czerny 1949   46  0.6268  0.0033  0.0535  0.1657  0.0558  0.09
Czerny 1990   12  0.7415  0.0116  0.1014  0.4519  0.4116  0.43
Duchoud 2007   71  0.5071  0.0074  0.0463  0.0461  0.0476  0.04
Ezaki 2006   8  0.7525  0.0014  0.1112  0.4816  0.3915  0.43
Falvay 1989   25  0.6922  0.0041  0.0641  0.1420  0.4035  0.24
Farrell 1958   62  0.5675  0.0065  0.0383  0.0353  0.0670  0.04
Ferenczy 1958   72  0.5086  0.0085  0.0381  0.0384  0.0387  0.03
Fliere 1977   3  0.793  0.143  0.174  0.703  0.555  0.62
Fou 1978   4  0.791  0.231  0.235  0.692  0.663  0.67
Francois 1956   41  0.6345  0.0038  0.0734  0.1729  0.3138  0.23
Friedman 1923   87  0.2779  0.0088  0.0370  0.0371  0.0582  0.04
Friedman 1923b   88  0.2773  0.0087  0.0467  0.0467  0.0580  0.04
Friedman 1930   84  0.3869  0.0081  0.0379  0.0361  0.0574  0.04
Garcia 2007   70  0.5083  0.0077  0.0385  0.0356  0.0577  0.04
Garcia 2007b   85  0.3687  0.0082  0.0387  0.0363  0.0490  0.03
Gierzod 1998   17  0.725  0.067  0.1311  0.5210  0.5010  0.51
Gornostaeva 1994   33  0.6566  0.0037  0.0538  0.1529  0.2839  0.20
Groot 1988   32  0.6562  0.0046  0.0556  0.0531  0.3550  0.13
Harasiewicz 1955   30  0.6621  0.0015  0.1216  0.4228  0.3120  0.36
Hatto 1993   80  0.4565  0.0035  0.0637  0.1523  0.2640  0.20
Hatto 1997   75  0.4724  0.0054  0.0650  0.0640  0.1160  0.08
Horowitz 1949   36  0.6514  0.0131  0.0531  0.1913  0.5129  0.31
Indjic 1988   78  0.4659  0.0034  0.0633  0.1725  0.2241  0.19
Kapell 1951   54  0.5849  0.0067  0.0464  0.0458  0.0471  0.04
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   7  0.7611  0.0211  0.169  0.569  0.499  0.52
Luisada 1991   18  0.7110  0.028  0.1713  0.485  0.5211  0.50
Lushtak 2004   35  0.6544  0.0047  0.0646  0.0652  0.0568  0.05
Malcuzynski 1961   23  0.7030  0.0030  0.0727  0.279  0.4521  0.35
Magaloff 1978   22  0.7034  0.0020  0.0722  0.365  0.5017  0.42
Magin 1975   15  0.7218  0.0113  0.1310  0.535  0.528  0.52
Michalowski 1933   83  0.4191  0.0080  0.0384  0.0350  0.0766  0.05
Milkina 1970   5  0.799  0.025  0.242  0.732  0.701  0.71
Mohovich 1999   21  0.7055  0.0023  0.0721  0.3729  0.3223  0.34
Moravec 1969   55  0.5782  0.0073  0.0649  0.0627  0.3445  0.14
Morozova 2008   20  0.7067  0.0024  0.0820  0.3819  0.3022  0.34
Neighaus 1950   27  0.6861  0.0017  0.0818  0.3929  0.2727  0.32
Niedzielski 1931   66  0.5381  0.0045  0.0544  0.1122  0.3042  0.18
Ohlsson 1999   44  0.6226  0.0022  0.0823  0.3224  0.3326  0.32
Osinska 1989   13  0.7335  0.0019  0.0719  0.3920  0.3919  0.39
Pachmann 1927   51  0.5956  0.0060  0.0372  0.0310  0.4055  0.11
Paderewski 1930   39  0.6417  0.0151  0.0647  0.0626  0.2254  0.11
Perlemuter 1992   19  0.7137  0.0025  0.0625  0.3019  0.3524  0.32
Pierdomenico 2008   37  0.6540  0.0042  0.0640  0.149  0.4632  0.25
Poblocka 1999   16  0.7223  0.0026  0.0726  0.2921  0.3230  0.30
Rabcewiczowa 1932   57  0.5784  0.0066  0.0374  0.0364  0.0484  0.03
Rachmaninoff 1923   53  0.5854  0.0039  0.0642  0.1242  0.1251  0.12
Rangell 2001   61  0.5631  0.0050  0.0557  0.0524  0.3348  0.13
Richter 1976   26  0.6832  0.0032  0.0730  0.2210  0.4825  0.32
Rosen 1989   14  0.7251  0.0018  0.0817  0.4119  0.4218  0.41
Rosenthal 1930   60  0.5660  0.0068  0.0386  0.0328  0.2559  0.09
Rosenthal 1931   68  0.5253  0.0069  0.0377  0.0318  0.4456  0.11
Rosenthal 1931b   69  0.5076  0.0071  0.0460  0.0418  0.3752  0.12
Rosenthal 1931c   58  0.5727  0.0056  0.0558  0.0517  0.4344  0.15
Rosenthal 1931d   64  0.5474  0.0070  0.0465  0.0417  0.4349  0.13
Rossi 2007   79  0.4670  0.0079  0.0373  0.0343  0.1064  0.05
Rubinstein 1939   81  0.4338  0.0075  0.0466  0.0432  0.2757  0.10
Rubinstein 1952   29  0.6613  0.0128  0.0724  0.312  0.6714  0.46
Rubinstein 1966   42  0.6329  0.0029  0.0736  0.1614  0.5331  0.29
Schilhawsky 1960   40  0.6333  0.0027  0.0629  0.2440  0.2237  0.23
Shebanova 2002   2  0.812  0.172  0.251  0.742  0.682  0.71
Smith 1975   28  0.6736  0.0049  0.0651  0.0652  0.0565  0.05
Sokolov 2002   47  0.6058  0.0061  0.0371  0.0359  0.0483  0.03
Sztompka 1959   45  0.6246  0.0062  0.0468  0.0473  0.0473  0.04
Tomsic 1995   24  0.7028  0.0040  0.0632  0.1812  0.5428  0.31
Uninsky 1932   56  0.5741  0.0064  0.0469  0.0460  0.0575  0.04
Uninsky 1971   52  0.5939  0.0063  0.0382  0.0349  0.0767  0.05
Wasowski 1980   50  0.5964  0.0057  0.0462  0.0465  0.0569  0.04
Zak 1937   10  0.7412  0.0210  0.177  0.645  0.616  0.62
Zak 1951   9  0.757  0.036  0.186  0.673  0.654  0.66
Average   1  0.824  0.084  0.203  0.7126  0.3413  0.49
Random 1   91  -0.1390  0.0090  0.0190  0.0138  0.2078  0.04
Random 2   89  -0.1185  0.0089  0.0289  0.0228  0.1861  0.06
Random 3   90  -0.1272  0.0091  0.0191  0.0181  0.0291  0.01

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).