Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.3155  0.0066  0.0665  0.0680  0.0374  0.04
Anderszewski 2003   46  0.3663  0.0036  0.0837  0.3735  0.3330  0.35
Ashkenazy 1981   2  0.592  0.222  0.257  0.802  0.834  0.81
Bacha 2000   63  0.2964  0.0068  0.0657  0.0654  0.0561  0.05
Badura 1965   50  0.3572  0.0047  0.0753  0.0725  0.3146  0.15
Barbosa 1983   20  0.4444  0.0029  0.0625  0.5242  0.1736  0.30
Biret 1990   77  0.2149  0.0077  0.0476  0.0486  0.0281  0.03
Blet 2003   34  0.3932  0.0051  0.1145  0.1137  0.2245  0.16
Block 1995   19  0.4418  0.0013  0.2019  0.588  0.6213  0.60
Blumental 1952   41  0.3776  0.0050  0.1046  0.1056  0.0655  0.08
Boshniakovich 1969   25  0.4220  0.0021  0.1123  0.5433  0.2828  0.39
Brailowsky 1960   83  0.1456  0.0084  0.0285  0.0284  0.0383  0.02
Bunin 1987   69  0.2675  0.0074  0.0656  0.0672  0.0377  0.04
Bunin 1987b   71  0.2565  0.0073  0.0478  0.0477  0.0378  0.03
Chiu 1999   35  0.3942  0.0043  0.0943  0.1863  0.0454  0.08
Cohen 1997   80  0.1788  0.0082  0.0479  0.0473  0.0380  0.03
Cortot 1951   78  0.2057  0.0072  0.0575  0.0557  0.0670  0.05
Csalog 1996   43  0.3628  0.0024  0.0731  0.4714  0.4421  0.45
Czerny 1949   74  0.2377  0.0070  0.0667  0.0669  0.0467  0.05
Czerny 1990   3  0.563  0.073  0.332  0.864  0.821  0.84
Duchoud 2007   62  0.3050  0.0059  0.0658  0.0636  0.1453  0.09
Ezaki 2006   51  0.3514  0.0156  0.0755  0.0772  0.0460  0.05
Falvay 1989   27  0.4236  0.0026  0.0732  0.4740  0.1539  0.27
Farrell 1958   61  0.3038  0.0055  0.0666  0.0651  0.0656  0.06
Ferenczy 1958   84  0.1333  0.0083  0.0287  0.0277  0.0385  0.02
Fliere 1977   11  0.4921  0.0016  0.3010  0.7329  0.3718  0.52
Fou 1978   9  0.4917  0.0012  0.1611  0.6712  0.6011  0.63
Francois 1956   82  0.1679  0.0081  0.0382  0.0383  0.0290  0.02
Friedman 1923   49  0.3558  0.0042  0.0744  0.1735  0.2441  0.20
Friedman 1923b   45  0.3639  0.0041  0.1040  0.2730  0.3734  0.32
Friedman 1930   65  0.2837  0.0062  0.0668  0.0645  0.0757  0.06
Garcia 2007   72  0.2589  0.0069  0.0750  0.0777  0.0468  0.05
Garcia 2007b   56  0.3240  0.0058  0.0660  0.0648  0.0659  0.06
Gierzod 1998   24  0.4324  0.0030  0.0830  0.4735  0.2431  0.34
Gornostaeva 1994   70  0.2583  0.0076  0.0849  0.0869  0.0458  0.06
Groot 1988   40  0.3870  0.0039  0.1236  0.3975  0.0449  0.12
Harasiewicz 1955   16  0.4727  0.0018  0.1512  0.6640  0.1832  0.34
Hatto 1993   15  0.4719  0.0014  0.1717  0.6117  0.4917  0.55
Hatto 1997   42  0.3653  0.0035  0.0738  0.3454  0.0548  0.13
Horowitz 1949   67  0.2787  0.0071  0.0570  0.0581  0.0372  0.04
Indjic 1988   13  0.4815  0.0111  0.1714  0.6513  0.6112  0.63
Kapell 1951   18  0.4567  0.0019  0.1415  0.6430  0.2825  0.42
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   6  0.548  0.026  0.225  0.8212  0.578  0.68
Luisada 1991   21  0.4362  0.0025  0.0726  0.5021  0.3822  0.44
Lushtak 2004   26  0.4226  0.0017  0.1718  0.5911  0.5715  0.58
Malcuzynski 1961   8  0.4910  0.0110  0.189  0.759  0.569  0.65
Magaloff 1978   30  0.4022  0.0027  0.0824  0.5327  0.3226  0.41
Magin 1975   7  0.519  0.019  0.216  0.805  0.716  0.75
Michalowski 1933   68  0.2674  0.0067  0.0751  0.0738  0.1850  0.11
Milkina 1970   57  0.3284  0.0053  0.0662  0.0674  0.0464  0.05
Mohovich 1999   64  0.2923  0.0063  0.0571  0.0573  0.0476  0.04
Moravec 1969   23  0.4346  0.0031  0.0829  0.4827  0.3327  0.40
Morozova 2008   22  0.4378  0.0022  0.1222  0.5429  0.3920  0.46
Neighaus 1950   39  0.3834  0.0037  0.0934  0.4227  0.3329  0.37
Niedzielski 1931   48  0.3560  0.0046  0.0754  0.0729  0.2947  0.14
Ohlsson 1999   29  0.4035  0.0028  0.0833  0.4233  0.2633  0.33
Osinska 1989   59  0.3154  0.0057  0.0663  0.0675  0.0462  0.05
Pachmann 1927   44  0.3613  0.0144  0.1042  0.1815  0.4935  0.30
Paderewski 1930   31  0.4016  0.0120  0.1021  0.562  0.7510  0.65
Perlemuter 1992   37  0.3831  0.0048  0.0848  0.0826  0.3642  0.17
Pierdomenico 2008   52  0.3485  0.0049  0.0847  0.0826  0.3444  0.16
Poblocka 1999   28  0.4229  0.0032  0.0927  0.5029  0.3624  0.42
Rabcewiczowa 1932   85  0.1261  0.0080  0.0381  0.0386  0.0284  0.02
Rachmaninoff 1923   73  0.2445  0.0075  0.0659  0.0679  0.0371  0.04
Rangell 2001   53  0.3471  0.0061  0.0573  0.0558  0.0569  0.05
Richter 1976   5  0.557  0.025  0.374  0.834  0.785  0.80
Rosen 1989   54  0.3386  0.0054  0.0664  0.0679  0.0375  0.04
Rosenthal 1930   81  0.1790  0.0085  0.0384  0.0385  0.0287  0.02
Rosenthal 1931   79  0.1848  0.0079  0.0480  0.0475  0.0473  0.04
Rosenthal 1931b   86  0.1266  0.0086  0.0383  0.0387  0.0289  0.02
Rosenthal 1931c   76  0.2180  0.0078  0.0477  0.0485  0.0282  0.03
Rosenthal 1931d   87  0.0982  0.0087  0.0288  0.0287  0.0288  0.02
Rossi 2007   75  0.2325  0.0052  0.0569  0.0510  0.5043  0.16
Rubinstein 1939   55  0.3343  0.0038  0.1039  0.2837  0.1540  0.20
Rubinstein 1952   17  0.4512  0.0123  0.1320  0.5732  0.4019  0.48
Rubinstein 1966   12  0.494  0.077  0.2016  0.6214  0.5614  0.59
Schilhawsky 1960   58  0.3251  0.0065  0.0574  0.0554  0.0566  0.05
Shebanova 2002   1  0.601  0.411  0.401  0.871  0.792  0.83
Smith 1975   66  0.2852  0.0064  0.0572  0.0562  0.0563  0.05
Sokolov 2002   33  0.4030  0.0040  0.0741  0.2633  0.3337  0.29
Sztompka 1959   4  0.566  0.044  0.363  0.852  0.793  0.82
Tomsic 1995   32  0.4059  0.0033  0.1228  0.4922  0.3923  0.44
Uninsky 1932   10  0.495  0.058  0.238  0.764  0.707  0.73
Uninsky 1971   38  0.3847  0.0034  0.1235  0.4038  0.2038  0.28
Wasowski 1980   14  0.4711  0.0115  0.2113  0.6520  0.5016  0.57
Zak 1937   36  0.3941  0.0045  0.0661  0.0640  0.1552  0.09
Zak 1951   47  0.3681  0.0060  0.0752  0.0767  0.0465  0.05
Random 1   88  0.0373  0.0088  0.0286  0.024  0.4951  0.10
Random 2   89  0.0068  0.0089  0.0189  0.0166  0.0486  0.02
Random 3   90  -0.0569  0.0090  0.0190  0.0144  0.1079  0.03

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).