Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7520  0.004  0.186  0.693  0.636  0.66
Anderszewski 2003   32  0.6218  0.0038  0.0835  0.3621  0.4630  0.41
Ashkenazy 1981   27  0.636  0.0222  0.0832  0.3714  0.4632  0.41
Bacha 2000   87  0.3961  0.0082  0.0286  0.0285  0.0388  0.02
Badura 1965   36  0.6081  0.0036  0.0739  0.3112  0.5531  0.41
Barbosa 1983   76  0.4725  0.0068  0.0475  0.0467  0.0481  0.04
Biret 1990   47  0.5769  0.0050  0.0651  0.0662  0.0478  0.05
Blet 2003   55  0.5534  0.0062  0.0467  0.0431  0.2270  0.09
Block 1995   62  0.5179  0.0061  0.0470  0.0443  0.1174  0.07
Blumental 1952   54  0.5540  0.0045  0.0745  0.1437  0.1752  0.15
Boshniakovich 1969   10  0.7050  0.006  0.1816  0.597  0.6115  0.60
Brailowsky 1960   84  0.4171  0.0086  0.0385  0.0363  0.0579  0.04
Bunin 1987   82  0.4152  0.0083  0.0287  0.0256  0.0587  0.03
Bunin 1987b   85  0.4057  0.0084  0.0382  0.0346  0.0680  0.04
Chiu 1999   72  0.4856  0.0073  0.0474  0.0449  0.0676  0.05
Cohen 1997   88  0.3153  0.0085  0.0288  0.0267  0.0486  0.03
Cortot 1951   65  0.5036  0.0071  0.0383  0.0321  0.4758  0.12
Csalog 1996   68  0.5021  0.0065  0.0555  0.0526  0.3157  0.12
Czerny 1949   16  0.6811  0.018  0.179  0.659  0.5911  0.62
Czerny 1990   5  0.7222  0.009  0.167  0.679  0.675  0.67
Duchoud 2007   80  0.4575  0.0076  0.0472  0.0439  0.1771  0.08
Ezaki 2006   18  0.6815  0.0123  0.0931  0.4018  0.5426  0.46
Falvay 1989   49  0.5643  0.0058  0.0469  0.0438  0.2465  0.10
Farrell 1958   46  0.5732  0.0040  0.0841  0.2820  0.4539  0.35
Ferenczy 1958   74  0.4882  0.0081  0.0379  0.0367  0.0385  0.03
Fliere 1977   20  0.6744  0.0020  0.1023  0.5034  0.2241  0.33
Fou 1978   19  0.6741  0.0021  0.1022  0.5013  0.5124  0.50
Francois 1956   64  0.5177  0.0066  0.0559  0.0534  0.3059  0.12
Friedman 1923   58  0.5374  0.0057  0.0462  0.0430  0.3760  0.12
Friedman 1923b   56  0.5465  0.0051  0.0649  0.0619  0.4847  0.17
Friedman 1930   67  0.5085  0.0074  0.0561  0.0539  0.2268  0.10
Garcia 2007   63  0.5186  0.0069  0.0473  0.0447  0.0777  0.05
Garcia 2007b   60  0.5262  0.0063  0.0464  0.0469  0.0484  0.04
Gierzod 1998   2  0.792  0.352  0.582  0.832  0.791  0.81
Gornostaeva 1994   48  0.5751  0.0055  0.0653  0.0634  0.2163  0.11
Groot 1988   79  0.4576  0.0067  0.0476  0.0456  0.0582  0.04
Harasiewicz 1955   7  0.723  0.025  0.154  0.737  0.703  0.71
Hatto 1993   38  0.6072  0.0032  0.1029  0.4524  0.3436  0.39
Hatto 1997   34  0.6138  0.0024  0.1124  0.4917  0.3927  0.44
Horowitz 1949   59  0.5387  0.0064  0.0556  0.0529  0.4550  0.15
Indjic 1988   33  0.6258  0.0025  0.1025  0.4820  0.3929  0.43
Kapell 1951   35  0.6154  0.0037  0.0733  0.3734  0.2442  0.30
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   22  0.6729  0.0033  0.1028  0.4727  0.4825  0.47
Luisada 1991   25  0.6519  0.0031  0.1137  0.3617  0.4233  0.39
Lushtak 2004   37  0.6066  0.0043  0.0942  0.2426  0.3643  0.29
Malcuzynski 1961   45  0.5823  0.0042  0.0843  0.2411  0.4840  0.34
Magaloff 1978   52  0.5645  0.0052  0.0648  0.0619  0.3749  0.15
Magin 1975   12  0.7037  0.0013  0.0812  0.6112  0.5318  0.57
Michalowski 1933   66  0.5088  0.0053  0.0557  0.0515  0.4751  0.15
Milkina 1970   17  0.6828  0.0018  0.1017  0.5913  0.5916  0.59
Mohovich 1999   50  0.5678  0.0046  0.0554  0.0539  0.2069  0.10
Moravec 1969   61  0.5255  0.0070  0.0466  0.0426  0.3754  0.12
Morozova 2008   14  0.6948  0.0014  0.0814  0.614  0.6212  0.61
Neighaus 1950   29  0.6339  0.0027  0.0920  0.519  0.5919  0.55
Niedzielski 1931   51  0.5673  0.0044  0.0844  0.1523  0.4044  0.24
Ohlsson 1999   39  0.6035  0.0039  0.0936  0.3629  0.3638  0.36
Osinska 1989   21  0.6730  0.0019  0.1219  0.5528  0.4722  0.51
Pachmann 1927   69  0.5049  0.0079  0.0380  0.0313  0.4756  0.12
Paderewski 1930   77  0.4763  0.0072  0.0384  0.0328  0.3366  0.10
Perlemuter 1992   40  0.6046  0.0049  0.0650  0.0621  0.4248  0.16
Pierdomenico 2008   70  0.5059  0.0059  0.0463  0.0428  0.3455  0.12
Poblocka 1999   8  0.718  0.0110  0.118  0.665  0.647  0.65
Rabcewiczowa 1932   53  0.5560  0.0048  0.0746  0.0737  0.1862  0.11
Rachmaninoff 1923   44  0.5847  0.0028  0.0930  0.4120  0.3637  0.38
Rangell 2001   71  0.4931  0.0060  0.0558  0.0517  0.4353  0.15
Richter 1976   23  0.679  0.0130  0.0927  0.478  0.6321  0.54
Rosen 1989   26  0.654  0.0235  0.1134  0.3615  0.4335  0.39
Rosenthal 1930   73  0.4889  0.0077  0.0381  0.0336  0.2372  0.08
Rosenthal 1931   81  0.4490  0.0080  0.0471  0.0431  0.2667  0.10
Rosenthal 1931b   83  0.4191  0.0087  0.0377  0.0350  0.0583  0.04
Rosenthal 1931c   78  0.4670  0.0078  0.0378  0.0336  0.2473  0.08
Rosenthal 1931d   86  0.3983  0.0088  0.0468  0.0445  0.1375  0.07
Rossi 2007   75  0.4767  0.0075  0.0465  0.0436  0.2664  0.10
Rubinstein 1939   43  0.5927  0.0047  0.0747  0.0716  0.4045  0.17
Rubinstein 1952   41  0.5910  0.0129  0.0938  0.3611  0.5528  0.44
Rubinstein 1966   28  0.6313  0.0126  0.0921  0.5118  0.5123  0.51
Schilhawsky 1960   11  0.7033  0.0011  0.1615  0.607  0.6014  0.60
Shebanova 2002   9  0.7112  0.017  0.135  0.694  0.628  0.65
Smith 1975   42  0.5916  0.0154  0.0652  0.0639  0.1961  0.11
Sokolov 2002   31  0.625  0.0234  0.1326  0.484  0.6020  0.54
Sztompka 1959   4  0.747  0.023  0.213  0.762  0.752  0.75
Tomsic 1995   57  0.5426  0.0056  0.0560  0.0513  0.5546  0.17
Uninsky 1932   24  0.6668  0.0017  0.1218  0.585  0.6017  0.59
Uninsky 1971   15  0.6824  0.0016  0.1111  0.625  0.6410  0.63
Wasowski 1980   30  0.6342  0.0041  0.0840  0.3014  0.5134  0.39
Zak 1937   6  0.7217  0.0012  0.1110  0.636  0.659  0.64
Zak 1951   13  0.7014  0.0115  0.1013  0.618  0.5913  0.60
Average   1  0.811  0.401  0.391  0.8712  0.574  0.70
Random 1   90  -0.0884  0.0090  0.0189  0.0157  0.0390  0.02
Random 2   89  -0.0664  0.0089  0.0190  0.0152  0.0489  0.02
Random 3   91  -0.1280  0.0091  0.0191  0.0179  0.0391  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).