Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2053  0.0065  0.0664  0.0658  0.0469  0.05
Anderszewski 2003   66  0.1778  0.0064  0.0573  0.0552  0.0666  0.05
Ashkenazy 1981   2  0.664  0.062  0.562  0.903  0.882  0.89
Bacha 2000   52  0.2642  0.0053  0.0569  0.0541  0.1948  0.10
Badura 1965   50  0.2762  0.0057  0.0849  0.0843  0.1249  0.10
Barbosa 1983   43  0.3143  0.0041  0.0844  0.2836  0.2140  0.24
Biret 1990   84  0.0173  0.0083  0.0383  0.0381  0.0381  0.03
Blet 2003   24  0.4039  0.0030  0.0724  0.5228  0.4624  0.49
Block 1995   18  0.4315  0.0017  0.2615  0.6818  0.5614  0.62
Blumental 1952   26  0.3845  0.0026  0.0935  0.4418  0.5526  0.49
Boshniakovich 1969   38  0.3267  0.0040  0.0942  0.2858  0.0647  0.13
Brailowsky 1960   88  -0.0254  0.0087  0.0286  0.0288  0.0284  0.02
Bunin 1987   58  0.2283  0.0060  0.0850  0.0861  0.0559  0.06
Bunin 1987b   59  0.2263  0.0061  0.0848  0.0873  0.0455  0.06
Chiu 1999   25  0.3979  0.0029  0.0828  0.5140  0.2236  0.33
Cohen 1997   78  0.0840  0.0079  0.0382  0.0382  0.0288  0.02
Cortot 1951   74  0.1146  0.0076  0.0479  0.0480  0.0382  0.03
Csalog 1996   48  0.288  0.0135  0.1139  0.3322  0.4432  0.38
Czerny 1949   91  -0.1086  0.0089  0.0189  0.0186  0.0291  0.01
Czerny 1990   12  0.5010  0.018  0.227  0.795  0.844  0.81
Duchoud 2007   45  0.2968  0.0033  0.1134  0.4533  0.3233  0.38
Ezaki 2006   75  0.1119  0.0075  0.0575  0.0565  0.0473  0.04
Falvay 1989   47  0.2874  0.0042  0.1041  0.2937  0.2138  0.25
Farrell 1958   71  0.1447  0.0069  0.0753  0.0750  0.0654  0.06
Ferenczy 1958   90  -0.0833  0.0090  0.0190  0.0176  0.0386  0.02
Fliere 1977   4  0.5412  0.007  0.255  0.8217  0.727  0.77
Fou 1978   22  0.4280  0.0018  0.1817  0.6513  0.5318  0.59
Francois 1956   86  0.0081  0.0084  0.0384  0.0387  0.0290  0.02
Friedman 1923   19  0.4321  0.0022  0.1219  0.6224  0.5319  0.57
Friedman 1923b   20  0.4369  0.0023  0.1221  0.6029  0.5121  0.55
Friedman 1930   29  0.3641  0.0032  0.1031  0.4740  0.3630  0.41
Garcia 2007   51  0.2684  0.0050  0.0752  0.0759  0.0558  0.06
Garcia 2007b   34  0.3536  0.0044  0.1343  0.2832  0.3437  0.31
Gierzod 1998   61  0.2148  0.0062  0.0755  0.0747  0.0852  0.07
Gornostaeva 1994   82  0.0449  0.0082  0.0577  0.0583  0.0279  0.03
Groot 1988   15  0.4827  0.0013  0.1716  0.6815  0.5315  0.60
Harasiewicz 1955   46  0.2955  0.0054  0.0659  0.0668  0.0472  0.05
Hatto 1993   14  0.4925  0.0015  0.1511  0.7513  0.5913  0.67
Hatto 1997   54  0.2487  0.0056  0.0757  0.0769  0.0468  0.05
Horowitz 1949   40  0.3175  0.0052  0.0758  0.0768  0.0556  0.06
Indjic 1988   13  0.4970  0.0016  0.2412  0.7513  0.6312  0.69
Kapell 1951   27  0.3837  0.0031  0.0825  0.5233  0.2735  0.37
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   8  0.5326  0.009  0.216  0.816  0.766  0.78
Luisada 1991   16  0.4514  0.0014  0.1720  0.6120  0.5716  0.59
Lushtak 2004   37  0.3344  0.0028  0.1130  0.4711  0.5225  0.49
Malcuzynski 1961   9  0.516  0.0112  0.1713  0.747  0.669  0.70
Magaloff 1978   36  0.3322  0.0027  0.0829  0.5031  0.3728  0.43
Magin 1975   5  0.542  0.075  0.209  0.777  0.825  0.79
Michalowski 1933   42  0.3159  0.0051  0.0663  0.0665  0.0657  0.06
Milkina 1970   72  0.1388  0.0070  0.0661  0.0663  0.0464  0.05
Mohovich 1999   70  0.1417  0.0071  0.0851  0.0883  0.0371  0.05
Moravec 1969   32  0.3664  0.0037  0.0836  0.4328  0.3234  0.37
Morozova 2008   33  0.3556  0.0038  0.1137  0.4140  0.1341  0.23
Neighaus 1950   49  0.2724  0.0046  0.1046  0.1075  0.0460  0.06
Niedzielski 1931   17  0.4560  0.0019  0.1818  0.6315  0.5617  0.59
Ohlsson 1999   30  0.3631  0.0025  0.0926  0.5229  0.3131  0.40
Osinska 1989   81  0.0782  0.0078  0.0572  0.0584  0.0276  0.03
Pachmann 1927   31  0.3634  0.0036  0.0932  0.4633  0.4527  0.45
Paderewski 1930   3  0.583  0.063  0.324  0.831  0.833  0.83
Perlemuter 1992   23  0.415  0.0224  0.1323  0.5524  0.5720  0.56
Pierdomenico 2008   28  0.3650  0.0034  0.1133  0.4615  0.5423  0.50
Poblocka 1999   44  0.3065  0.0039  0.1138  0.3542  0.1739  0.24
Rabcewiczowa 1932   89  -0.0576  0.0088  0.0288  0.0287  0.0285  0.02
Rachmaninoff 1923   56  0.2423  0.0058  0.0754  0.0770  0.0362  0.05
Rangell 2001   65  0.1889  0.0072  0.0568  0.0586  0.0280  0.03
Richter 1976   11  0.5011  0.0111  0.178  0.7818  0.768  0.77
Rosen 1989   64  0.1990  0.0068  0.0756  0.0783  0.0370  0.05
Rosenthal 1930   73  0.1266  0.0081  0.0478  0.0479  0.0378  0.03
Rosenthal 1931   77  0.1032  0.0077  0.0480  0.0458  0.0474  0.04
Rosenthal 1931b   80  0.0729  0.0080  0.0481  0.0475  0.0383  0.03
Rosenthal 1931c   68  0.1671  0.0073  0.0571  0.0570  0.0375  0.04
Rosenthal 1931d   85  0.0172  0.0085  0.0385  0.0387  0.0289  0.02
Rossi 2007   79  0.0728  0.0049  0.0665  0.0614  0.4546  0.16
Rubinstein 1939   67  0.1785  0.0048  0.0660  0.0644  0.1250  0.08
Rubinstein 1952   41  0.3118  0.0045  0.0945  0.1739  0.1745  0.17
Rubinstein 1966   35  0.359  0.0120  0.1427  0.5121  0.3729  0.43
Schilhawsky 1960   62  0.2035  0.0067  0.0570  0.0563  0.0567  0.05
Shebanova 2002   1  0.711  0.701  0.691  0.923  0.891  0.90
Smith 1975   69  0.1561  0.0066  0.0662  0.0655  0.0653  0.06
Sokolov 2002   57  0.2438  0.0059  0.0666  0.0658  0.0461  0.05
Sztompka 1959   10  0.517  0.0110  0.1514  0.7310  0.6611  0.69
Tomsic 1995   39  0.3177  0.0043  0.1140  0.3039  0.1343  0.20
Uninsky 1932   7  0.5313  0.006  0.2210  0.7611  0.6410  0.70
Uninsky 1971   53  0.2416  0.0047  0.1047  0.1063  0.0551  0.07
Wasowski 1980   21  0.4251  0.0021  0.1122  0.5832  0.4522  0.51
Zak 1937   55  0.2430  0.0055  0.0567  0.0570  0.0563  0.05
Zak 1951   60  0.2291  0.0063  0.0574  0.0558  0.0565  0.05
Average   6  0.5320  0.004  0.253  0.8559  0.0542  0.21
Random 1   76  0.1152  0.0074  0.0576  0.052  0.5644  0.17
Random 2   83  0.0457  0.0086  0.0287  0.0262  0.0477  0.03
Random 3   87  0.0058  0.0091  0.0191  0.0152  0.0487  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).