Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.6618  0.008  0.146  0.553  0.604  0.57
Anderszewski 2003   45  0.5033  0.0030  0.0832  0.2620  0.4331  0.33
Ashkenazy 1981   42  0.5262  0.0027  0.1026  0.3432  0.3429  0.34
Bacha 2000   76  0.3926  0.0071  0.0569  0.0559  0.0562  0.05
Badura 1965   24  0.557  0.0117  0.1318  0.444  0.619  0.52
Barbosa 1983   52  0.498  0.0135  0.0734  0.2415  0.4530  0.33
Biret 1990   43  0.5140  0.0043  0.0540  0.1540  0.1543  0.15
Blet 2003   21  0.5679  0.0036  0.0733  0.2416  0.4332  0.32
Block 1995   60  0.4660  0.0057  0.0558  0.0548  0.0671  0.05
Blumental 1952   46  0.5054  0.0024  0.0835  0.218  0.4134  0.29
Boshniakovich 1969   17  0.576  0.0231  0.0925  0.3518  0.4523  0.40
Brailowsky 1960   68  0.4221  0.0077  0.0566  0.0550  0.0664  0.05
Bunin 1987   9  0.6067  0.0019  0.1614  0.465  0.5612  0.51
Bunin 1987b   12  0.6031  0.0018  0.1513  0.465  0.5710  0.51
Chiu 1999   74  0.4043  0.0069  0.0563  0.0575  0.0374  0.04
Cohen 1997   88  0.2466  0.0078  0.0481  0.0455  0.0580  0.04
Cortot 1951   26  0.5577  0.0025  0.0829  0.315  0.6320  0.44
Csalog 1996   75  0.3972  0.0062  0.0473  0.0442  0.1454  0.07
Czerny 1949   4  0.6524  0.007  0.135  0.5512  0.586  0.56
Czerny 1990   11  0.6050  0.0023  0.0919  0.4227  0.3028  0.35
Duchoud 2007   50  0.4984  0.0045  0.0545  0.1019  0.4338  0.21
Ezaki 2006   13  0.6085  0.0026  0.0823  0.3725  0.4025  0.38
Falvay 1989   73  0.4056  0.0081  0.0383  0.0381  0.0384  0.03
Farrell 1958   70  0.4139  0.0072  0.0559  0.0561  0.0565  0.05
Ferenczy 1958   18  0.5711  0.0122  0.1330  0.305  0.5922  0.42
Fliere 1977   14  0.599  0.0128  0.1321  0.4043  0.1137  0.21
Fou 1978   65  0.4351  0.0068  0.0560  0.0581  0.0477  0.04
Francois 1956   47  0.5059  0.0058  0.0565  0.0543  0.1352  0.08
Friedman 1923   71  0.4176  0.0037  0.0641  0.138  0.5736  0.27
Friedman 1923b   69  0.4164  0.0034  0.0737  0.188  0.5733  0.32
Friedman 1930   72  0.4173  0.0047  0.0568  0.0520  0.4244  0.14
Garcia 2007   79  0.3789  0.0070  0.0474  0.0447  0.0770  0.05
Garcia 2007b   81  0.3638  0.0063  0.0475  0.0427  0.2250  0.09
Gierzod 1998   10  0.605  0.0215  0.149  0.5216  0.5011  0.51
Gornostaeva 1994   40  0.5227  0.0059  0.0564  0.0564  0.0481  0.04
Groot 1988   48  0.5046  0.0055  0.0650  0.0653  0.0572  0.05
Harasiewicz 1955   15  0.593  0.043  0.323  0.674  0.552  0.61
Hatto 1993   56  0.4742  0.0013  0.0916  0.4413  0.4719  0.45
Hatto 1997   38  0.5214  0.014  0.154  0.587  0.507  0.54
Horowitz 1949   55  0.4855  0.0060  0.0655  0.0628  0.4241  0.16
Indjic 1988   53  0.4920  0.0012  0.1015  0.4511  0.5016  0.47
Kapell 1951   6  0.6345  0.0011  0.1611  0.478  0.4815  0.47
Kissin 1993   28  0.5525  0.0053  0.0654  0.0652  0.0659  0.06
Kushner 1989   36  0.5374  0.0056  0.0652  0.0662  0.0566  0.05
Luisada 1991   57  0.4729  0.0066  0.0472  0.0452  0.0663  0.05
Lushtak 2004   49  0.5041  0.0032  0.0831  0.2743  0.1339  0.19
Malcuzynski 1961   19  0.5769  0.006  0.1224  0.3619  0.3527  0.35
Magaloff 1978   63  0.4535  0.0065  0.0480  0.0473  0.0475  0.04
Magin 1975   41  0.5234  0.0039  0.0544  0.1041  0.1148  0.10
Michalowski 1933   44  0.5190  0.0020  0.1322  0.395  0.5417  0.46
Milkina 1970   37  0.5222  0.0054  0.0651  0.0651  0.0758  0.06
Mohovich 1999   27  0.5517  0.0051  0.0846  0.0843  0.1447  0.11
Moravec 1969   64  0.4419  0.0076  0.0562  0.0572  0.0473  0.04
Morozova 2008   39  0.5268  0.0048  0.0561  0.0550  0.0669  0.05
Neighaus 1950   20  0.5758  0.0014  0.1112  0.4717  0.4418  0.45
Niedzielski 1931   62  0.4663  0.0064  0.0478  0.0441  0.1253  0.07
Ohlsson 1999   31  0.544  0.0221  0.0920  0.4124  0.3724  0.39
Osinska 1989   29  0.5480  0.0052  0.0657  0.0649  0.0655  0.06
Pachmann 1927   80  0.3771  0.0079  0.0470  0.0450  0.0668  0.05
Paderewski 1930   58  0.4765  0.0061  0.0656  0.0627  0.2545  0.12
Perlemuter 1992   25  0.5528  0.0033  0.0828  0.3113  0.4726  0.38
Pierdomenico 2008   82  0.3481  0.0083  0.0476  0.0468  0.0476  0.04
Poblocka 1999   5  0.6515  0.0010  0.1610  0.4910  0.4813  0.48
Rabcewiczowa 1932   30  0.5413  0.0141  0.0636  0.1917  0.3835  0.27
Rachmaninoff 1923   59  0.4687  0.0050  0.0748  0.0755  0.0556  0.06
Rangell 2001   66  0.4278  0.0075  0.0471  0.0453  0.0582  0.04
Richter 1976   22  0.5657  0.0029  0.0727  0.349  0.5421  0.43
Rosen 1989   33  0.5344  0.0042  0.0642  0.1250  0.0651  0.08
Rosenthal 1930   61  0.4623  0.0073  0.0749  0.0741  0.1646  0.11
Rosenthal 1931   83  0.3088  0.0087  0.0382  0.0388  0.0288  0.02
Rosenthal 1931b   84  0.2970  0.0086  0.0287  0.0289  0.0290  0.02
Rosenthal 1931c   78  0.3847  0.0080  0.0288  0.0274  0.0391  0.02
Rosenthal 1931d   86  0.2952  0.0088  0.0479  0.0473  0.0386  0.03
Rossi 2007   87  0.2875  0.0084  0.0385  0.0366  0.0483  0.03
Rubinstein 1939   85  0.2930  0.0085  0.0386  0.0384  0.0385  0.03
Rubinstein 1952   77  0.3848  0.0082  0.0384  0.0369  0.0487  0.03
Rubinstein 1966   67  0.4249  0.0074  0.0567  0.0572  0.0478  0.04
Schilhawsky 1960   8  0.6216  0.005  0.137  0.544  0.595  0.56
Shebanova 2002   32  0.5437  0.0046  0.0653  0.0651  0.0660  0.06
Smith 1975   23  0.5610  0.0138  0.0538  0.1744  0.1442  0.15
Sokolov 2002   16  0.5812  0.0116  0.1117  0.445  0.5214  0.48
Sztompka 1959   7  0.6261  0.009  0.128  0.5311  0.518  0.52
Tomsic 1995   54  0.4882  0.0067  0.0477  0.0453  0.0667  0.05
Uninsky 1932   1  0.781  0.711  0.701  0.841  0.881  0.86
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   51  0.4932  0.0044  0.0543  0.1230  0.2640  0.18
Zak 1937   34  0.5336  0.0049  0.0747  0.0752  0.0557  0.06
Zak 1951   35  0.5353  0.0040  0.0539  0.1652  0.0649  0.10
Average   2  0.722  0.062  0.432  0.8026  0.423  0.58
Random 1   89  -0.0186  0.0089  0.0190  0.0112  0.3761  0.06
Random 2   90  -0.0383  0.0090  0.0189  0.0134  0.2079  0.04
Random 3   91  -0.0491  0.0091  0.0191  0.0157  0.0389  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).