Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.7520  0.003  0.195  0.692  0.635  0.66
Anderszewski 2003   31  0.6222  0.0037  0.0834  0.3620  0.4629  0.41
Ashkenazy 1981   26  0.636  0.0221  0.0831  0.3713  0.4631  0.41
Bacha 2000   86  0.3953  0.0081  0.0285  0.0284  0.0387  0.02
Badura 1965   35  0.6079  0.0035  0.0738  0.3111  0.5530  0.41
Barbosa 1983   75  0.4726  0.0067  0.0474  0.0466  0.0480  0.04
Biret 1990   46  0.5769  0.0049  0.0650  0.0661  0.0477  0.05
Blet 2003   54  0.5540  0.0061  0.0466  0.0430  0.2269  0.09
Block 1995   61  0.5176  0.0060  0.0469  0.0442  0.1173  0.07
Blumental 1952   53  0.5542  0.0044  0.0744  0.1436  0.1751  0.15
Boshniakovich 1969   9  0.702  0.055  0.1815  0.596  0.6114  0.60
Brailowsky 1960   83  0.4170  0.0085  0.0384  0.0362  0.0578  0.04
Bunin 1987   81  0.4155  0.0082  0.0286  0.0255  0.0586  0.03
Bunin 1987b   84  0.4060  0.0083  0.0381  0.0345  0.0679  0.04
Chiu 1999   71  0.4858  0.0072  0.0473  0.0448  0.0675  0.05
Cohen 1997   87  0.3156  0.0084  0.0287  0.0266  0.0485  0.03
Cortot 1951   64  0.5041  0.0070  0.0382  0.0320  0.4757  0.12
Csalog 1996   67  0.5030  0.0064  0.0654  0.0625  0.3153  0.14
Czerny 1949   15  0.6811  0.017  0.178  0.658  0.5910  0.62
Czerny 1990   4  0.7224  0.008  0.166  0.678  0.674  0.67
Duchoud 2007   79  0.4574  0.0075  0.0471  0.0438  0.1770  0.08
Ezaki 2006   17  0.6816  0.0122  0.0930  0.4017  0.5425  0.46
Falvay 1989   48  0.5646  0.0057  0.0468  0.0437  0.2465  0.10
Farrell 1958   45  0.5734  0.0039  0.0840  0.2819  0.4538  0.35
Ferenczy 1958   73  0.4881  0.0080  0.0378  0.0366  0.0384  0.03
Fliere 1977   19  0.6736  0.0019  0.1122  0.5033  0.2240  0.33
Fou 1978   18  0.6739  0.0020  0.1021  0.5012  0.5123  0.50
Francois 1956   63  0.5178  0.0065  0.0558  0.0533  0.3058  0.12
Friedman 1923   57  0.5375  0.0056  0.0461  0.0429  0.3759  0.12
Friedman 1923b   55  0.5464  0.0050  0.0648  0.0618  0.4846  0.17
Friedman 1930   66  0.5084  0.0073  0.0560  0.0538  0.2268  0.10
Garcia 2007   62  0.5185  0.0068  0.0472  0.0446  0.0776  0.05
Garcia 2007b   59  0.5265  0.0062  0.0463  0.0468  0.0483  0.04
Gierzod 1998   1  0.791  0.591  0.581  0.831  0.791  0.81
Gornostaeva 1994   47  0.5754  0.0054  0.0652  0.0633  0.2163  0.11
Groot 1988   78  0.4577  0.0066  0.0475  0.0455  0.0581  0.04
Harasiewicz 1955   6  0.723  0.044  0.153  0.736  0.703  0.71
Hatto 1993   37  0.6071  0.0031  0.1028  0.4523  0.3435  0.39
Hatto 1997   33  0.619  0.0223  0.1123  0.4916  0.3926  0.44
Horowitz 1949   58  0.5386  0.0063  0.0655  0.0628  0.4548  0.16
Indjic 1988   32  0.6259  0.0024  0.1024  0.4819  0.3928  0.43
Kapell 1951   34  0.6145  0.0036  0.0732  0.3733  0.2441  0.30
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   21  0.6732  0.0032  0.1027  0.4726  0.4824  0.47
Luisada 1991   24  0.6519  0.0130  0.1136  0.3616  0.4232  0.39
Lushtak 2004   36  0.6068  0.0042  0.0941  0.2425  0.3642  0.29
Malcuzynski 1961   44  0.5821  0.0041  0.0842  0.2410  0.4839  0.34
Magaloff 1978   51  0.5648  0.0051  0.0647  0.0618  0.3749  0.15
Magin 1975   11  0.7028  0.0012  0.0811  0.6111  0.5317  0.57
Michalowski 1933   65  0.5087  0.0052  0.0556  0.0514  0.4750  0.15
Milkina 1970   16  0.6829  0.0017  0.1116  0.5912  0.5915  0.59
Mohovich 1999   49  0.5672  0.0045  0.0653  0.0638  0.2062  0.11
Moravec 1969   60  0.5257  0.0069  0.0465  0.0425  0.3754  0.12
Morozova 2008   13  0.6944  0.0013  0.0813  0.613  0.6211  0.61
Neighaus 1950   28  0.6343  0.0026  0.0919  0.518  0.5918  0.55
Niedzielski 1931   50  0.5673  0.0043  0.0843  0.1522  0.4043  0.24
Ohlsson 1999   38  0.6035  0.0038  0.0935  0.3628  0.3637  0.36
Osinska 1989   20  0.6737  0.0018  0.1318  0.5527  0.4721  0.51
Pachmann 1927   68  0.5051  0.0078  0.0379  0.0312  0.4756  0.12
Paderewski 1930   76  0.4762  0.0071  0.0383  0.0327  0.3366  0.10
Perlemuter 1992   39  0.6049  0.0048  0.0649  0.0620  0.4247  0.16
Pierdomenico 2008   69  0.5063  0.0058  0.0462  0.0427  0.3455  0.12
Poblocka 1999   7  0.718  0.029  0.117  0.664  0.646  0.65
Rabcewiczowa 1932   52  0.5561  0.0047  0.0745  0.0736  0.1861  0.11
Rachmaninoff 1923   43  0.5850  0.0027  0.0929  0.4119  0.3636  0.38
Rangell 2001   70  0.4931  0.0059  0.0557  0.0516  0.4352  0.15
Richter 1976   22  0.6712  0.0129  0.0926  0.477  0.6320  0.54
Rosen 1989   25  0.655  0.0334  0.1133  0.3614  0.4334  0.39
Rosenthal 1930   72  0.4888  0.0076  0.0380  0.0335  0.2371  0.08
Rosenthal 1931   80  0.4489  0.0079  0.0470  0.0430  0.2667  0.10
Rosenthal 1931b   82  0.4190  0.0086  0.0376  0.0349  0.0582  0.04
Rosenthal 1931c   77  0.4647  0.0077  0.0377  0.0335  0.2472  0.08
Rosenthal 1931d   85  0.3982  0.0087  0.0467  0.0444  0.1374  0.07
Rossi 2007   74  0.4752  0.0074  0.0464  0.0435  0.2664  0.10
Rubinstein 1939   42  0.5925  0.0046  0.0746  0.0715  0.4044  0.17
Rubinstein 1952   40  0.5910  0.0228  0.0937  0.3610  0.5527  0.44
Rubinstein 1966   27  0.6313  0.0125  0.0920  0.5117  0.5122  0.51
Schilhawsky 1960   10  0.7023  0.0010  0.1614  0.606  0.6013  0.60
Shebanova 2002   8  0.7115  0.016  0.144  0.693  0.627  0.65
Smith 1975   41  0.5918  0.0153  0.0651  0.0638  0.1960  0.11
Sokolov 2002   30  0.627  0.0233  0.1325  0.483  0.6019  0.54
Sztompka 1959   3  0.744  0.032  0.212  0.761  0.752  0.75
Tomsic 1995   56  0.5433  0.0055  0.0559  0.0512  0.5545  0.17
Uninsky 1932   23  0.6666  0.0016  0.1217  0.584  0.6016  0.59
Uninsky 1971   14  0.6827  0.0015  0.1110  0.624  0.649  0.63
Wasowski 1980   29  0.6338  0.0040  0.0839  0.3013  0.5133  0.39
Zak 1937   5  0.7217  0.0111  0.129  0.635  0.658  0.64
Zak 1951   12  0.7014  0.0114  0.1012  0.617  0.5912  0.60
Random 1   89  -0.0883  0.0089  0.0188  0.0157  0.0389  0.02
Random 2   88  -0.0667  0.0088  0.0189  0.0152  0.0488  0.02
Random 3   90  -0.1280  0.0090  0.0190  0.0178  0.0390  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).