Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6028  0.0016  0.1112  0.4255  0.0426  0.13
Anderszewski 2003   64  0.4156  0.0055  0.0556  0.0587  0.0280  0.03
Ashkenazy 1981   43  0.4941  0.0048  0.0650  0.0674  0.0370  0.04
Bacha 2000   34  0.5029  0.0031  0.0532  0.2130  0.2216  0.21
Badura 1965   24  0.5340  0.0051  0.0654  0.0671  0.0460  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   17  0.564  0.077  0.139  0.5229  0.259  0.36
Blet 2003   4  0.656  0.043  0.258  0.5311  0.414  0.47
Block 1995   76  0.3485  0.0076  0.0477  0.0479  0.0384  0.03
Blumental 1952   61  0.4262  0.0069  0.0560  0.0573  0.0368  0.04
Boshniakovich 1969   70  0.3769  0.0075  0.0476  0.0466  0.0469  0.04
Brailowsky 1960   26  0.525  0.0414  0.0931  0.2138  0.2117  0.21
Bunin 1987   57  0.4455  0.0062  0.0745  0.0750  0.0550  0.06
Bunin 1987b   60  0.4366  0.0061  0.0464  0.0451  0.0565  0.04
Chiu 1999   1  0.721  0.361  0.361  0.721  0.661  0.69
Cohen 1997   63  0.4252  0.0065  0.0467  0.0422  0.2538  0.10
Cortot 1951   52  0.4571  0.0057  0.0562  0.0570  0.0472  0.04
Csalog 1996   67  0.3958  0.0037  0.0827  0.2325  0.2812  0.25
Czerny 1949   41  0.4913  0.0156  0.0558  0.0566  0.0559  0.05
Czerny 1990   14  0.5738  0.0026  0.0721  0.2867  0.0435  0.11
Duchoud 2007   30  0.5123  0.0038  0.0636  0.1838  0.1621  0.17
Ezaki 2006   3  0.653  0.105  0.142  0.6123  0.326  0.44
Falvay 1989   18  0.5542  0.0020  0.0633  0.2036  0.2715  0.23
Farrell 1958   21  0.5426  0.0047  0.0648  0.0659  0.0557  0.05
Ferenczy 1958   23  0.5351  0.0029  0.0522  0.2829  0.2113  0.24
Fliere 1977   13  0.5834  0.0015  0.0910  0.4663  0.0423  0.14
Fou 1978   31  0.519  0.0212  0.1219  0.3041  0.1119  0.18
Francois 1956   15  0.5675  0.0024  0.0616  0.3342  0.1118  0.19
Friedman 1923   74  0.3427  0.0074  0.0383  0.0359  0.0573  0.04
Friedman 1923b   73  0.3524  0.0073  0.0379  0.0355  0.0671  0.04
Friedman 1930   65  0.408  0.0264  0.0470  0.0447  0.0758  0.05
Garcia 2007   75  0.3489  0.0079  0.0463  0.0480  0.0383  0.03
Garcia 2007b   83  0.2361  0.0082  0.0474  0.0481  0.0386  0.03
Gierzod 1998   50  0.4644  0.0060  0.0471  0.0475  0.0382  0.03
Gornostaeva 1994   47  0.4715  0.0121  0.0734  0.2044  0.0927  0.13
Groot 1988   7  0.6014  0.019  0.155  0.6028  0.383  0.48
Harasiewicz 1955   28  0.5120  0.0119  0.0543  0.1265  0.0351  0.06
Hatto 1993   53  0.4519  0.0142  0.0741  0.1364  0.0446  0.07
Hatto 1997   42  0.4946  0.0040  0.0638  0.1745  0.0831  0.12
Horowitz 1949   71  0.3659  0.0077  0.0475  0.0483  0.0277  0.03
Indjic 1988   46  0.4712  0.0141  0.0739  0.1463  0.0444  0.07
Kapell 1951   45  0.4757  0.0025  0.0620  0.2965  0.0432  0.11
Kissin 1993   59  0.4333  0.0063  0.0469  0.0475  0.0379  0.03
Kushner 1989   37  0.5090  0.0049  0.0649  0.0674  0.0363  0.04
Luisada 1991   16  0.5674  0.0039  0.0737  0.1855  0.0443  0.08
Lushtak 2004   2  0.6711  0.012  0.204  0.6022  0.287  0.41
Malcuzynski 1961   78  0.2970  0.0080  0.0465  0.0487  0.0376  0.03
Magaloff 1978   54  0.4536  0.0046  0.0653  0.0659  0.0554  0.05
Magin 1975   79  0.2879  0.0081  0.0385  0.0379  0.0375  0.03
Michalowski 1933   82  0.2581  0.0070  0.0378  0.0376  0.0378  0.03
Milkina 1970   58  0.4478  0.0045  0.0559  0.0568  0.0464  0.04
Mohovich 1999   6  0.612  0.126  0.143  0.6125  0.355  0.46
Moravec 1969   51  0.4530  0.0066  0.0468  0.0470  0.0374  0.03
Morozova 2008   19  0.5537  0.0018  0.0823  0.2746  0.0530  0.12
Neighaus 1950   32  0.5072  0.0030  0.0624  0.2666  0.0440  0.10
Niedzielski 1931   66  0.4025  0.0058  0.0655  0.0661  0.0456  0.05
Ohlsson 1999   29  0.5131  0.0027  0.0618  0.3146  0.0529  0.12
Osinska 1989   20  0.5577  0.0028  0.0626  0.2663  0.0436  0.10
Pachmann 1927   48  0.4784  0.0053  0.0652  0.0625  0.2133  0.11
Paderewski 1930   69  0.3776  0.0068  0.0561  0.0567  0.0366  0.04
Perlemuter 1992   10  0.6018  0.0123  0.0615  0.3648  0.0525  0.13
Pierdomenico 2008   77  0.3253  0.0078  0.0466  0.0467  0.0462  0.04
Poblocka 1999   62  0.4280  0.0052  0.0746  0.0770  0.0452  0.05
Rabcewiczowa 1932   36  0.5035  0.0017  0.0614  0.3621  0.3310  0.34
Rachmaninoff 1923   40  0.4960  0.0054  0.0651  0.0663  0.0455  0.05
Rangell 2001   80  0.2783  0.0059  0.0472  0.0429  0.2639  0.10
Richter 1976   72  0.3548  0.0072  0.0384  0.0386  0.0287  0.02
Rosen 1989   49  0.4650  0.0043  0.0642  0.1378  0.0348  0.06
Rosenthal 1930   81  0.2588  0.0083  0.0380  0.0385  0.0288  0.02
Rosenthal 1931   84  0.2186  0.0085  0.0473  0.0454  0.0467  0.04
Rosenthal 1931b   87  0.1782  0.0086  0.0287  0.0275  0.0390  0.02
Rosenthal 1931c   85  0.2064  0.0084  0.0382  0.0367  0.0385  0.03
Rosenthal 1931d   86  0.1773  0.0087  0.0386  0.0386  0.0289  0.02
Rossi 2007   68  0.3954  0.0071  0.0381  0.0326  0.2641  0.09
Rubinstein 1939   55  0.4543  0.0067  0.0557  0.0532  0.2728  0.12
Rubinstein 1952   33  0.5063  0.0034  0.0635  0.1829  0.3114  0.24
Rubinstein 1966   5  0.6217  0.018  0.146  0.5515  0.512  0.53
Schilhawsky 1960   35  0.5032  0.0036  0.0640  0.1468  0.0445  0.07
Shebanova 2002   27  0.5268  0.0033  0.0625  0.2685  0.0342  0.09
Smith 1975   12  0.587  0.0311  0.137  0.5324  0.298  0.39
Sokolov 2002   56  0.4421  0.0150  0.0747  0.0753  0.0453  0.05
Sztompka 1959   38  0.5045  0.0044  0.0544  0.1073  0.0447  0.06
Tomsic 1995   39  0.5022  0.0122  0.0628  0.2320  0.3911  0.30
Uninsky 1932   25  0.5347  0.0035  0.0630  0.2261  0.0537  0.10
Uninsky 1971   44  0.4816  0.0132  0.0629  0.2254  0.0634  0.11
Wasowski 1980   22  0.5410  0.024  0.1517  0.3243  0.0920  0.17
Zak 1937   9  0.6067  0.0013  0.1213  0.3962  0.0524  0.14
Zak 1951   8  0.6039  0.0010  0.1411  0.4552  0.0622  0.16
Random 1   88  -0.0587  0.0090  0.0190  0.0128  0.2861  0.05
Random 2   90  -0.0665  0.0089  0.0188  0.0139  0.1081  0.03
Random 3   89  -0.0549  0.0088  0.0189  0.0115  0.3649  0.06

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).