Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5545  0.0029  0.0531  0.2657  0.0443  0.10
Anderszewski 2003   52  0.4618  0.0018  0.1022  0.3238  0.1524  0.22
Ashkenazy 1981   45  0.4873  0.0039  0.0740  0.1556  0.0547  0.09
Bacha 2000   56  0.4637  0.0063  0.0568  0.0545  0.1150  0.07
Badura 1965   61  0.4448  0.0041  0.0544  0.1044  0.1635  0.13
Barbosa 1983   55  0.4631  0.0025  0.0824  0.3135  0.2515  0.28
Biret 1990   43  0.4949  0.0047  0.0650  0.0668  0.0563  0.05
Blet 2003   33  0.5259  0.0042  0.0441  0.1537  0.1429  0.14
Block 1995   29  0.5250  0.0033  0.0629  0.2830  0.2320  0.25
Blumental 1952   75  0.3430  0.0075  0.0474  0.0487  0.0285  0.03
Boshniakovich 1969   27  0.5365  0.0043  0.0543  0.1162  0.0553  0.07
Brailowsky 1960   57  0.4647  0.0064  0.0475  0.0455  0.0567  0.04
Bunin 1987   53  0.4651  0.0058  0.0656  0.0650  0.0655  0.06
Bunin 1987b   49  0.4619  0.0057  0.0563  0.0548  0.0658  0.05
Chiu 1999   65  0.4174  0.0062  0.0472  0.0472  0.0468  0.04
Cohen 1997   73  0.3581  0.0073  0.0564  0.0532  0.2538  0.11
Cortot 1951   76  0.3344  0.0077  0.0655  0.0686  0.0377  0.04
Csalog 1996   36  0.5142  0.0040  0.0639  0.1717  0.4914  0.29
Czerny 1949   62  0.4471  0.0066  0.0479  0.0461  0.0475  0.04
Czerny 1990   18  0.5522  0.0026  0.0635  0.2365  0.0444  0.10
Duchoud 2007   60  0.4427  0.0052  0.0559  0.0551  0.0561  0.05
Ezaki 2006   5  0.6211  0.015  0.155  0.6316  0.465  0.54
Falvay 1989   2  0.672  0.152  0.291  0.762  0.731  0.74
Farrell 1958   47  0.4640  0.0053  0.0657  0.0647  0.0754  0.06
Ferenczy 1958   54  0.4643  0.0067  0.0481  0.0441  0.1452  0.07
Fliere 1977   19  0.5479  0.0031  0.0627  0.2977  0.0345  0.09
Fou 1978   8  0.6069  0.0010  0.149  0.5929  0.3510  0.45
Francois 1956   37  0.5154  0.0032  0.0625  0.3039  0.2318  0.26
Friedman 1923   88  0.1385  0.0088  0.0384  0.0385  0.0391  0.03
Friedman 1923b   87  0.1377  0.0087  0.0386  0.0385  0.0387  0.03
Friedman 1930   86  0.2286  0.0086  0.0567  0.0581  0.0372  0.04
Garcia 2007   72  0.3564  0.0061  0.0471  0.0451  0.0662  0.05
Garcia 2007b   80  0.3260  0.0072  0.0478  0.0483  0.0390  0.03
Gierzod 1998   28  0.5232  0.0016  0.0917  0.3656  0.0534  0.13
Gornostaeva 1994   24  0.5357  0.0035  0.0728  0.2951  0.0536  0.12
Groot 1988   4  0.636  0.044  0.174  0.6410  0.494  0.56
Harasiewicz 1955   21  0.5439  0.0011  0.1912  0.5537  0.2211  0.35
Hatto 1993   71  0.3672  0.0059  0.0654  0.0678  0.0464  0.05
Hatto 1997   66  0.4138  0.0048  0.0649  0.0682  0.0373  0.04
Horowitz 1949   63  0.4235  0.0074  0.0480  0.0478  0.0381  0.03
Indjic 1988   68  0.3961  0.0056  0.0648  0.0688  0.0370  0.04
Kapell 1951   16  0.5515  0.0138  0.0838  0.2056  0.0541  0.10
Kissin 1993   6  0.629  0.037  0.187  0.6126  0.388  0.48
Kushner 1989   11  0.5820  0.0012  0.1711  0.5638  0.1812  0.32
Luisada 1991   41  0.5078  0.0020  0.0832  0.2649  0.0730  0.13
Lushtak 2004   13  0.568  0.038  0.1310  0.5627  0.409  0.47
Malcuzynski 1961   12  0.5836  0.0021  0.0719  0.3442  0.1622  0.23
Magaloff 1978   26  0.5333  0.0037  0.0737  0.2154  0.0540  0.10
Magin 1975   50  0.4663  0.0055  0.0746  0.0772  0.0457  0.05
Michalowski 1933   85  0.2484  0.0081  0.0387  0.0383  0.0382  0.03
Milkina 1970   7  0.6110  0.026  0.166  0.6124  0.417  0.50
Mohovich 1999   3  0.671  0.421  0.413  0.745  0.732  0.73
Moravec 1969   51  0.4634  0.0071  0.0562  0.0583  0.0365  0.04
Morozova 2008   39  0.504  0.0514  0.1614  0.4543  0.1223  0.23
Neighaus 1950   31  0.5255  0.0036  0.0736  0.2361  0.0539  0.11
Niedzielski 1931   77  0.3358  0.0082  0.0473  0.0460  0.0380  0.03
Ohlsson 1999   35  0.5121  0.0027  0.0633  0.2665  0.0442  0.10
Osinska 1989   22  0.5426  0.0024  0.0820  0.3346  0.0728  0.15
Pachmann 1927   42  0.4916  0.0049  0.0652  0.0611  0.5127  0.17
Paderewski 1930   67  0.4082  0.0076  0.0651  0.0673  0.0459  0.05
Perlemuter 1992   32  0.5268  0.0028  0.0530  0.2836  0.2121  0.24
Pierdomenico 2008   46  0.4762  0.0050  0.0747  0.0740  0.1737  0.11
Poblocka 1999   30  0.5229  0.0045  0.0545  0.1067  0.0551  0.07
Rabcewiczowa 1932   59  0.4517  0.0046  0.0565  0.0544  0.1248  0.08
Rachmaninoff 1923   78  0.3341  0.0069  0.0385  0.0385  0.0379  0.03
Rangell 2001   38  0.5166  0.0023  0.0834  0.2427  0.3016  0.27
Richter 1976   48  0.4652  0.0068  0.0476  0.0458  0.0569  0.04
Rosen 1989   20  0.5428  0.0017  0.0915  0.4338  0.1617  0.26
Rosenthal 1930   83  0.3175  0.0085  0.0569  0.0581  0.0376  0.04
Rosenthal 1931   81  0.3270  0.0079  0.0566  0.0565  0.0471  0.04
Rosenthal 1931b   84  0.3087  0.0083  0.0383  0.0366  0.0489  0.03
Rosenthal 1931c   70  0.3788  0.0078  0.0470  0.0466  0.0478  0.04
Rosenthal 1931d   82  0.3189  0.0084  0.0382  0.0382  0.0388  0.03
Rossi 2007   79  0.3312  0.0160  0.0561  0.0522  0.3432  0.13
Rubinstein 1939   69  0.3867  0.0065  0.0560  0.0557  0.0556  0.05
Rubinstein 1952   9  0.605  0.0413  0.1813  0.5519  0.516  0.53
Rubinstein 1966   10  0.597  0.049  0.148  0.6114  0.603  0.60
Schilhawsky 1960   74  0.3576  0.0080  0.0388  0.0385  0.0383  0.03
Shebanova 2002   14  0.5614  0.0122  0.0921  0.3366  0.0533  0.13
Smith 1975   25  0.5324  0.0019  0.1018  0.3438  0.1819  0.25
Sokolov 2002   34  0.5225  0.0034  0.0626  0.2950  0.0631  0.13
Sztompka 1959   40  0.5013  0.0144  0.0542  0.1273  0.0549  0.08
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   64  0.4180  0.0070  0.0477  0.0478  0.0474  0.04
Uninsky 1971   44  0.4890  0.0054  0.0653  0.0677  0.0460  0.05
Wasowski 1980   58  0.4523  0.0051  0.0558  0.0567  0.0466  0.04
Zak 1937   23  0.5453  0.0030  0.0523  0.3243  0.1326  0.20
Zak 1951   15  0.5546  0.0015  0.1016  0.4137  0.2313  0.31
Average   1  0.683  0.053  0.372  0.7554  0.0625  0.21
Random 1   90  -0.0356  0.0089  0.0289  0.027  0.4246  0.09
Random 2   91  -0.0783  0.0091  0.0191  0.0144  0.1084  0.03
Random 3   89  -0.0291  0.0090  0.0190  0.0135  0.1286  0.03

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).