Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2053  0.0064  0.0663  0.0657  0.0468  0.05
Anderszewski 2003   65  0.1777  0.0063  0.0572  0.0551  0.0665  0.05
Ashkenazy 1981   2  0.664  0.062  0.572  0.902  0.882  0.89
Bacha 2000   51  0.2641  0.0052  0.0568  0.0540  0.1947  0.10
Badura 1965   49  0.2758  0.0056  0.0948  0.0942  0.1248  0.10
Barbosa 1983   42  0.3142  0.0040  0.0843  0.2835  0.2140  0.24
Biret 1990   83  0.0172  0.0082  0.0382  0.0380  0.0380  0.03
Blet 2003   23  0.4038  0.0029  0.0723  0.5227  0.4624  0.49
Block 1995   17  0.4314  0.0016  0.2614  0.6817  0.5614  0.62
Blumental 1952   25  0.3844  0.0025  0.0934  0.4417  0.5526  0.49
Boshniakovich 1969   37  0.3259  0.0039  0.0941  0.2857  0.0646  0.13
Brailowsky 1960   87  -0.0254  0.0086  0.0285  0.0287  0.0283  0.02
Bunin 1987   57  0.2282  0.0059  0.0849  0.0860  0.0558  0.06
Bunin 1987b   58  0.2263  0.0060  0.0947  0.0972  0.0454  0.06
Chiu 1999   24  0.3978  0.0028  0.0827  0.5139  0.2236  0.33
Cohen 1997   77  0.0840  0.0078  0.0381  0.0381  0.0287  0.02
Cortot 1951   73  0.1145  0.0075  0.0478  0.0479  0.0381  0.03
Csalog 1996   47  0.288  0.0134  0.1138  0.3321  0.4432  0.38
Czerny 1949   90  -0.1085  0.0088  0.0188  0.0185  0.0290  0.01
Czerny 1990   11  0.5010  0.017  0.226  0.795  0.844  0.81
Duchoud 2007   44  0.2967  0.0032  0.1133  0.4532  0.3233  0.38
Ezaki 2006   74  0.1119  0.0074  0.0574  0.0564  0.0472  0.04
Falvay 1989   46  0.2873  0.0041  0.1040  0.2936  0.2138  0.25
Farrell 1958   70  0.1446  0.0068  0.0752  0.0749  0.0653  0.06
Ferenczy 1958   89  -0.0832  0.0089  0.0189  0.0175  0.0385  0.02
Fliere 1977   4  0.5412  0.006  0.254  0.8216  0.727  0.77
Fou 1978   21  0.4279  0.0017  0.1816  0.6512  0.5318  0.59
Francois 1956   85  0.0080  0.0083  0.0383  0.0386  0.0289  0.02
Friedman 1923   18  0.4320  0.0021  0.1318  0.6223  0.5319  0.57
Friedman 1923b   19  0.4368  0.0022  0.1220  0.6028  0.5121  0.55
Friedman 1930   28  0.3639  0.0031  0.1030  0.4739  0.3630  0.41
Garcia 2007   50  0.2683  0.0049  0.0851  0.0858  0.0557  0.06
Garcia 2007b   33  0.3535  0.0043  0.1342  0.2831  0.3437  0.31
Gierzod 1998   60  0.2147  0.0061  0.0754  0.0746  0.0851  0.07
Gornostaeva 1994   81  0.0448  0.0081  0.0576  0.0582  0.0278  0.03
Groot 1988   14  0.4826  0.0012  0.1815  0.6814  0.5315  0.60
Harasiewicz 1955   45  0.2949  0.0053  0.0658  0.0667  0.0471  0.05
Hatto 1993   13  0.4924  0.0014  0.1510  0.7512  0.5913  0.67
Hatto 1997   53  0.2486  0.0055  0.0756  0.0768  0.0467  0.05
Horowitz 1949   39  0.3174  0.0051  0.0757  0.0767  0.0555  0.06
Indjic 1988   12  0.4969  0.0015  0.2511  0.7512  0.6312  0.69
Kapell 1951   26  0.3836  0.0030  0.0824  0.5232  0.2735  0.37
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   7  0.5325  0.008  0.225  0.815  0.766  0.78
Luisada 1991   15  0.4515  0.0013  0.1719  0.6119  0.5716  0.59
Lushtak 2004   36  0.3343  0.0027  0.1129  0.4710  0.5225  0.49
Malcuzynski 1961   8  0.516  0.0111  0.1712  0.746  0.669  0.70
Magaloff 1978   35  0.3321  0.0026  0.0828  0.5030  0.3728  0.43
Magin 1975   5  0.542  0.074  0.218  0.777  0.825  0.79
Michalowski 1933   41  0.3160  0.0050  0.0662  0.0664  0.0656  0.06
Milkina 1970   71  0.1387  0.0069  0.0660  0.0662  0.0463  0.05
Mohovich 1999   69  0.1417  0.0070  0.0850  0.0882  0.0370  0.05
Moravec 1969   31  0.3664  0.0036  0.0835  0.4327  0.3234  0.37
Morozova 2008   32  0.3555  0.0037  0.1136  0.4139  0.1341  0.23
Neighaus 1950   48  0.2723  0.0045  0.1045  0.1074  0.0459  0.06
Niedzielski 1931   16  0.4561  0.0018  0.1817  0.6314  0.5617  0.59
Ohlsson 1999   29  0.3630  0.0024  0.0925  0.5228  0.3131  0.40
Osinska 1989   80  0.0781  0.0077  0.0571  0.0583  0.0275  0.03
Pachmann 1927   30  0.3633  0.0035  0.0931  0.4632  0.4527  0.45
Paderewski 1930   3  0.583  0.063  0.363  0.831  0.833  0.83
Perlemuter 1992   22  0.415  0.0223  0.1322  0.5523  0.5720  0.56
Pierdomenico 2008   27  0.3650  0.0033  0.1132  0.4614  0.5423  0.50
Poblocka 1999   43  0.3065  0.0038  0.1137  0.3541  0.1739  0.24
Rabcewiczowa 1932   88  -0.0575  0.0087  0.0287  0.0286  0.0284  0.02
Rachmaninoff 1923   55  0.2422  0.0057  0.0753  0.0769  0.0461  0.05
Rangell 2001   64  0.1888  0.0071  0.0567  0.0585  0.0279  0.03
Richter 1976   10  0.5011  0.0110  0.187  0.7817  0.768  0.77
Rosen 1989   63  0.1989  0.0067  0.0755  0.0782  0.0369  0.05
Rosenthal 1930   72  0.1266  0.0080  0.0477  0.0478  0.0377  0.03
Rosenthal 1931   76  0.1031  0.0076  0.0479  0.0457  0.0473  0.04
Rosenthal 1931b   79  0.0728  0.0079  0.0480  0.0474  0.0382  0.03
Rosenthal 1931c   67  0.1670  0.0072  0.0570  0.0569  0.0374  0.04
Rosenthal 1931d   84  0.0171  0.0084  0.0384  0.0386  0.0288  0.02
Rossi 2007   78  0.0727  0.0048  0.0664  0.0614  0.4545  0.16
Rubinstein 1939   66  0.1784  0.0047  0.0659  0.0643  0.1249  0.08
Rubinstein 1952   40  0.3118  0.0044  0.0944  0.1738  0.1744  0.17
Rubinstein 1966   34  0.359  0.0119  0.1426  0.5120  0.3729  0.43
Schilhawsky 1960   61  0.2034  0.0066  0.0569  0.0562  0.0566  0.05
Shebanova 2002   1  0.711  0.701  0.691  0.922  0.891  0.90
Smith 1975   68  0.1562  0.0065  0.0661  0.0654  0.0652  0.06
Sokolov 2002   56  0.2437  0.0058  0.0665  0.0657  0.0460  0.05
Sztompka 1959   9  0.517  0.019  0.1513  0.739  0.6611  0.69
Tomsic 1995   38  0.3176  0.0042  0.1139  0.3038  0.1342  0.20
Uninsky 1932   6  0.5313  0.005  0.229  0.7610  0.6410  0.70
Uninsky 1971   52  0.2416  0.0046  0.1046  0.1062  0.0550  0.07
Wasowski 1980   20  0.4251  0.0020  0.1221  0.5831  0.4522  0.51
Zak 1937   54  0.2429  0.0054  0.0566  0.0569  0.0562  0.05
Zak 1951   59  0.2290  0.0062  0.0573  0.0557  0.0564  0.05
Random 1   75  0.1152  0.0073  0.0575  0.052  0.5643  0.17
Random 2   82  0.0456  0.0085  0.0286  0.0261  0.0476  0.03
Random 3   86  0.0057  0.0090  0.0190  0.0151  0.0486  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).