Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   81  0.2757  0.0083  0.0287  0.0272  0.0388  0.02
Anderszewski 2003   4  0.637  0.043  0.186  0.716  0.666  0.68
Ashkenazy 1981   79  0.2877  0.0081  0.0471  0.0473  0.0384  0.03
Bacha 2000   64  0.3774  0.0054  0.0564  0.0533  0.2553  0.11
Badura 1965   73  0.3479  0.0065  0.0659  0.0645  0.0766  0.06
Barbosa 1983   10  0.5919  0.019  0.127  0.6711  0.638  0.65
Biret 1990   47  0.4438  0.0056  0.0651  0.0652  0.0571  0.05
Blet 2003   65  0.3752  0.0067  0.0563  0.0552  0.0670  0.05
Block 1995   36  0.494  0.0518  0.1029  0.4116  0.4928  0.45
Blumental 1952   39  0.4780  0.0048  0.0655  0.0639  0.1754  0.10
Boshniakovich 1969   38  0.4943  0.0036  0.1235  0.3541  0.1343  0.21
Brailowsky 1960   56  0.4163  0.0064  0.0658  0.0656  0.0662  0.06
Bunin 1987   44  0.4551  0.0061  0.1045  0.1027  0.2650  0.16
Bunin 1987b   40  0.4765  0.0050  0.0846  0.0816  0.4246  0.18
Chiu 1999   50  0.4347  0.0040  0.0842  0.1518  0.3541  0.23
Cohen 1997   74  0.335  0.0568  0.0467  0.0439  0.1068  0.06
Cortot 1951   78  0.3270  0.0037  0.0840  0.2014  0.5037  0.32
Csalog 1996   24  0.549  0.0312  0.1720  0.539  0.5421  0.53
Czerny 1949   16  0.582  0.152  0.2311  0.6018  0.6510  0.62
Czerny 1990   2  0.6310  0.027  0.162  0.755  0.781  0.76
Duchoud 2007   71  0.3562  0.0066  0.0653  0.0624  0.4449  0.16
Ezaki 2006   7  0.623  0.085  0.181  0.751  0.722  0.73
Falvay 1989   12  0.5824  0.0024  0.0913  0.5925  0.5019  0.54
Farrell 1958   29  0.5117  0.0116  0.1518  0.556  0.6711  0.61
Ferenczy 1958   66  0.3681  0.0069  0.0376  0.0367  0.0482  0.03
Fliere 1977   23  0.5553  0.0027  0.1323  0.5033  0.3530  0.42
Fou 1978   22  0.5516  0.0121  0.0822  0.5110  0.5024  0.50
Francois 1956   75  0.3378  0.0071  0.0380  0.0348  0.0677  0.04
Friedman 1923   85  0.1982  0.0086  0.0282  0.0286  0.0390  0.02
Friedman 1923b   84  0.2083  0.0085  0.0285  0.0288  0.0289  0.02
Friedman 1930   83  0.2054  0.0082  0.0283  0.0271  0.0481  0.03
Garcia 2007   43  0.4633  0.0033  0.1431  0.387  0.6325  0.49
Garcia 2007b   27  0.5336  0.0020  0.1121  0.524  0.6713  0.59
Gierzod 1998   15  0.5832  0.0026  0.1017  0.5639  0.2334  0.36
Gornostaeva 1994   20  0.5614  0.0219  0.1019  0.554  0.6312  0.59
Groot 1988   55  0.4264  0.0051  0.0566  0.0557  0.0572  0.05
Harasiewicz 1955   9  0.596  0.0517  0.1916  0.5721  0.5517  0.56
Hatto 1993   49  0.4344  0.0053  0.0565  0.0554  0.0573  0.05
Hatto 1997   45  0.4548  0.0049  0.0847  0.0845  0.0759  0.07
Horowitz 1949   86  0.1866  0.0087  0.0286  0.0283  0.0386  0.02
Indjic 1988   48  0.4471  0.0052  0.0468  0.0450  0.0575  0.04
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   30  0.5139  0.0035  0.1036  0.3026  0.4733  0.38
Kushner 1989   8  0.608  0.034  0.2010  0.6113  0.5515  0.58
Luisada 1991   62  0.3884  0.0075  0.0374  0.0368  0.0478  0.03
Lushtak 2004   28  0.5228  0.0031  0.1427  0.4626  0.4229  0.44
Malcuzynski 1961   3  0.631  0.291  0.283  0.732  0.704  0.71
Magaloff 1978   42  0.4721  0.0157  0.0750  0.0747  0.0757  0.07
Magin 1975   35  0.4967  0.0038  0.0837  0.2534  0.2242  0.23
Michalowski 1933   87  0.1568  0.0084  0.0284  0.0245  0.0580  0.03
Milkina 1970   17  0.5720  0.0115  0.1214  0.5819  0.4820  0.53
Mohovich 1999   21  0.5615  0.0222  0.0833  0.3730  0.3535  0.36
Moravec 1969   18  0.5723  0.0028  0.1228  0.4311  0.5126  0.47
Morozova 2008   33  0.5155  0.0029  0.1225  0.4912  0.5523  0.52
Neighaus 1950   77  0.3285  0.0080  0.0373  0.0368  0.0485  0.03
Niedzielski 1931   80  0.2856  0.0076  0.0375  0.0338  0.1365  0.06
Ohlsson 1999   60  0.4025  0.0058  0.0656  0.0667  0.0469  0.05
Osinska 1989   13  0.5849  0.0014  0.1612  0.6022  0.5516  0.57
Pachmann 1927   52  0.4359  0.0046  0.0654  0.062  0.6644  0.20
Paderewski 1930   82  0.2386  0.0070  0.0381  0.0365  0.0479  0.03
Perlemuter 1992   67  0.3629  0.0077  0.0379  0.0349  0.0674  0.04
Pierdomenico 2008   63  0.3845  0.0042  0.0641  0.179  0.5538  0.31
Poblocka 1999   5  0.6322  0.018  0.154  0.721  0.743  0.73
Rabcewiczowa 1932   19  0.5750  0.0013  0.1315  0.581  0.5914  0.58
Rachmaninoff 1923   61  0.3869  0.0059  0.0657  0.0645  0.0763  0.06
Rangell 2001   41  0.4718  0.0145  0.0848  0.0825  0.3947  0.18
Richter 1976   14  0.5827  0.0010  0.139  0.652  0.725  0.68
Rosen 1989   46  0.4575  0.0055  0.0661  0.0646  0.0667  0.06
Rosenthal 1930   69  0.3687  0.0073  0.0470  0.0437  0.2256  0.09
Rosenthal 1931   68  0.3646  0.0074  0.0469  0.0441  0.1258  0.07
Rosenthal 1931b   76  0.3272  0.0079  0.0472  0.0447  0.0576  0.04
Rosenthal 1931c   58  0.4030  0.0062  0.0749  0.0730  0.2451  0.13
Rosenthal 1931d   70  0.3573  0.0072  0.0377  0.0339  0.1761  0.07
Rossi 2007   51  0.4337  0.0044  0.0644  0.116  0.5439  0.24
Rubinstein 1939   26  0.5342  0.0030  0.1424  0.5011  0.5422  0.52
Rubinstein 1952   6  0.6334  0.0011  0.158  0.6710  0.629  0.64
Rubinstein 1966   1  0.6413  0.026  0.155  0.7110  0.667  0.68
Schilhawsky 1960   54  0.4360  0.0043  0.0743  0.1535  0.2645  0.20
Shebanova 2002   72  0.3561  0.0078  0.0378  0.0370  0.0483  0.03
Smith 1975   59  0.4041  0.0063  0.0562  0.0546  0.0864  0.06
Sokolov 2002   57  0.4131  0.0060  0.0652  0.0636  0.2652  0.12
Sztompka 1959   37  0.4976  0.0041  0.0839  0.2020  0.5336  0.33
Tomsic 1995   11  0.5811  0.0223  0.1026  0.484  0.6318  0.55
Uninsky 1932   53  0.4340  0.0047  0.0660  0.0624  0.4948  0.17
Uninsky 1971   32  0.5135  0.0039  0.0738  0.2036  0.3040  0.24
Wasowski 1980   25  0.5412  0.0232  0.1330  0.4118  0.4927  0.45
Zak 1937   34  0.5026  0.0034  0.1334  0.3624  0.4132  0.38
Zak 1951   31  0.5158  0.0025  0.0932  0.3824  0.4031  0.39
Random 1   88  0.0488  0.0089  0.0288  0.023  0.5355  0.10
Random 2   89  0.0089  0.0090  0.0190  0.0148  0.0487  0.02
Random 3   90  -0.0190  0.0088  0.0189  0.013  0.5460  0.07

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).