Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.6739  0.0035  0.0628  0.2535  0.1540  0.19
Anderszewski 2003   74  0.3953  0.0072  0.0371  0.0379  0.0376  0.03
Ashkenazy 1981   33  0.644  0.067  0.1216  0.4527  0.2819  0.35
Bacha 2000   49  0.5677  0.0054  0.0461  0.0426  0.3144  0.11
Badura 1965   50  0.5581  0.0045  0.0743  0.1426  0.3139  0.21
Barbosa 1983   61  0.4751  0.0060  0.0555  0.0551  0.0464  0.04
Biret 1990   52  0.5543  0.0055  0.0552  0.0555  0.0468  0.04
Blet 2003   40  0.6170  0.0058  0.0462  0.0456  0.0465  0.04
Block 1995   18  0.7056  0.0037  0.0538  0.2014  0.3330  0.26
Blumental 1952   78  0.3317  0.0167  0.0466  0.0475  0.0383  0.03
Boshniakovich 1969   17  0.7020  0.0125  0.0725  0.3011  0.3821  0.34
Brailowsky 1960   23  0.6835  0.0040  0.0629  0.2516  0.3923  0.31
Bunin 1987   68  0.4540  0.0079  0.0467  0.0469  0.0467  0.04
Bunin 1987b   67  0.4567  0.0078  0.0289  0.0268  0.0472  0.03
Chiu 1999   46  0.5749  0.0033  0.0632  0.2420  0.3624  0.29
Cohen 1997   75  0.3846  0.0068  0.0370  0.0336  0.1655  0.07
Cortot 1951   63  0.4773  0.0076  0.0287  0.0271  0.0389  0.02
Csalog 1996   54  0.519  0.0228  0.0644  0.139  0.5229  0.26
Czerny 1949   57  0.4978  0.0059  0.0463  0.0477  0.0381  0.03
Czerny 1990   22  0.6830  0.0039  0.0834  0.2349  0.0546  0.11
Duchoud 2007   58  0.4954  0.0036  0.0645  0.1367  0.0454  0.07
Ezaki 2006   11  0.7661  0.0018  0.0812  0.4824  0.2816  0.37
Falvay 1989   1  0.843  0.083  0.195  0.577  0.545  0.55
Farrell 1958   62  0.4747  0.0073  0.0377  0.0388  0.0284  0.02
Ferenczy 1958   73  0.4185  0.0083  0.0378  0.0389  0.0286  0.02
Fliere 1977   6  0.788  0.026  0.134  0.605  0.476  0.53
Fou 1978   2  0.831  0.301  0.301  0.711  0.602  0.65
Francois 1956   35  0.6231  0.0024  0.0923  0.3231  0.1933  0.25
Friedman 1923   89  -0.1179  0.0091  0.0191  0.0179  0.0390  0.02
Friedman 1923b   90  -0.1168  0.0090  0.0190  0.0182  0.0388  0.02
Friedman 1930   85  0.1159  0.0080  0.0280  0.0258  0.0578  0.03
Garcia 2007   79  0.2886  0.0085  0.0373  0.0373  0.0382  0.03
Garcia 2007b   86  0.0387  0.0087  0.0282  0.0290  0.0191  0.01
Gierzod 1998   47  0.576  0.0313  0.0836  0.2242  0.1241  0.16
Gornostaeva 1994   21  0.6866  0.0016  0.0719  0.3821  0.3122  0.34
Groot 1988   13  0.7428  0.0019  0.0818  0.4117  0.3915  0.40
Harasiewicz 1955   48  0.5710  0.0231  0.0727  0.2531  0.2236  0.23
Hatto 1993   82  0.2455  0.0062  0.0846  0.0867  0.0359  0.05
Hatto 1997   80  0.2874  0.0063  0.0459  0.0484  0.0279  0.03
Horowitz 1949   44  0.5821  0.0127  0.0635  0.2313  0.3625  0.29
Indjic 1988   81  0.2671  0.0061  0.0648  0.0671  0.0363  0.04
Kapell 1951   65  0.4629  0.0075  0.0285  0.0279  0.0385  0.02
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   12  0.7513  0.018  0.106  0.566  0.487  0.52
Luisada 1991   34  0.6327  0.0022  0.0921  0.3521  0.3320  0.34
Lushtak 2004   37  0.6226  0.0043  0.0742  0.1765  0.0450  0.08
Malcuzynski 1961   7  0.787  0.0210  0.137  0.5414  0.4310  0.48
Magaloff 1978   8  0.7811  0.029  0.1011  0.486  0.4711  0.47
Magin 1975   30  0.6612  0.0117  0.0820  0.368  0.3717  0.36
Michalowski 1933   84  0.1869  0.0084  0.0469  0.0481  0.0374  0.03
Milkina 1970   4  0.805  0.044  0.193  0.625  0.583  0.60
Mohovich 1999   14  0.7360  0.0032  0.0826  0.2725  0.2827  0.27
Moravec 1969   38  0.6262  0.0029  0.0639  0.1820  0.3531  0.25
Morozova 2008   41  0.6032  0.0046  0.0647  0.0659  0.0457  0.05
Neighaus 1950   28  0.6748  0.0026  0.0624  0.3138  0.1735  0.23
Niedzielski 1931   77  0.3764  0.0071  0.0375  0.0354  0.0470  0.03
Ohlsson 1999   42  0.5914  0.0123  0.1130  0.2526  0.2434  0.24
Osinska 1989   16  0.7045  0.0034  0.0633  0.2324  0.2928  0.26
Pachmann 1927   53  0.5324  0.0048  0.0649  0.0624  0.3342  0.14
Paderewski 1930   39  0.6116  0.0149  0.0551  0.0539  0.1153  0.07
Perlemuter 1992   31  0.6523  0.0042  0.0937  0.2129  0.2238  0.21
Pierdomenico 2008   15  0.7136  0.0011  0.0913  0.462  0.519  0.48
Poblocka 1999   36  0.6241  0.0056  0.0553  0.0570  0.0360  0.04
Rabcewiczowa 1932   66  0.4575  0.0070  0.0374  0.0366  0.0371  0.03
Rachmaninoff 1923   70  0.4380  0.0057  0.0456  0.0447  0.0562  0.04
Rangell 2001   24  0.6842  0.0020  0.0817  0.435  0.4613  0.44
Richter 1976   29  0.6633  0.0041  0.0731  0.2419  0.2632  0.25
Rosen 1989   20  0.6988  0.0030  0.0622  0.3221  0.4018  0.36
Rosenthal 1930   56  0.5072  0.0065  0.0457  0.0463  0.0466  0.04
Rosenthal 1931   55  0.5038  0.0050  0.0464  0.0429  0.3145  0.11
Rosenthal 1931b   59  0.4852  0.0053  0.0554  0.0523  0.2943  0.12
Rosenthal 1931c   43  0.5865  0.0052  0.0458  0.0428  0.2348  0.10
Rosenthal 1931d   51  0.5589  0.0051  0.0465  0.0423  0.3247  0.11
Rossi 2007   72  0.4290  0.0047  0.0460  0.0421  0.2149  0.09
Rubinstein 1939   83  0.2257  0.0074  0.0379  0.0337  0.1852  0.07
Rubinstein 1952   10  0.7618  0.0112  0.109  0.501  0.634  0.56
Rubinstein 1966   32  0.6482  0.0044  0.0740  0.1710  0.5126  0.29
Schilhawsky 1960   64  0.4683  0.0069  0.0376  0.0376  0.0377  0.03
Shebanova 2002   3  0.812  0.212  0.212  0.701  0.671  0.68
Smith 1975   25  0.6734  0.0038  0.0741  0.1767  0.0351  0.07
Sokolov 2002   45  0.5744  0.0064  0.0650  0.0673  0.0361  0.04
Sztompka 1959   69  0.4522  0.0177  0.0283  0.0267  0.0473  0.03
Tomsic 1995   5  0.8019  0.015  0.1715  0.4514  0.4214  0.43
Uninsky 1932   76  0.3837  0.0081  0.0281  0.0262  0.0480  0.03
Uninsky 1971   71  0.4350  0.0082  0.0468  0.0482  0.0275  0.03
Wasowski 1980   60  0.4876  0.0066  0.0372  0.0370  0.0469  0.03
Zak 1937   27  0.6763  0.0021  0.1014  0.4512  0.4312  0.44
Zak 1951   19  0.7015  0.0115  0.078  0.5212  0.468  0.49
Average   9  0.7725  0.0014  0.0810  0.4944  0.1037  0.22
Random 1   88  -0.0458  0.0088  0.0286  0.0228  0.2156  0.06
Random 2   91  -0.1291  0.0089  0.0288  0.0256  0.0387  0.02
Random 3   87  0.0184  0.0086  0.0284  0.0239  0.1458  0.05

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).