Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3233  0.0028  0.0541  0.1561  0.0444  0.08
Anderszewski 2003   18  0.3617  0.0113  0.1713  0.5535  0.336  0.43
Ashkenazy 1981   3  0.4512  0.028  0.174  0.6922  0.492  0.58
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   40  0.3020  0.0024  0.0625  0.3033  0.2019  0.24
Barbosa 1983   24  0.3470  0.0031  0.0727  0.2851  0.0730  0.14
Biret 1990   57  0.2767  0.0079  0.0376  0.0380  0.0383  0.03
Blet 2003   68  0.2451  0.0058  0.0462  0.0465  0.0468  0.04
Block 1995   55  0.2749  0.0047  0.0552  0.0577  0.0371  0.04
Blumental 1952   2  0.473  0.092  0.262  0.7815  0.581  0.67
Boshniakovich 1969   38  0.3050  0.0053  0.0651  0.0676  0.0455  0.05
Brailowsky 1960   20  0.3443  0.0020  0.1020  0.3929  0.398  0.39
Bunin 1987   71  0.2440  0.0073  0.0467  0.0483  0.0380  0.03
Bunin 1987b   67  0.2465  0.0072  0.0461  0.0477  0.0376  0.03
Chiu 1999   31  0.3216  0.0126  0.0634  0.2145  0.1127  0.15
Cohen 1997   44  0.3077  0.0043  0.0737  0.2035  0.3418  0.26
Cortot 1951   43  0.3045  0.0044  0.0835  0.2121  0.4415  0.30
Csalog 1996   88  0.1472  0.0087  0.0287  0.0280  0.0389  0.02
Czerny 1949   39  0.3039  0.0040  0.0540  0.1848  0.0740  0.11
Czerny 1990   58  0.2654  0.0055  0.0556  0.0560  0.0556  0.05
Duchoud 2007   63  0.2644  0.0060  0.0471  0.0482  0.0469  0.04
Ezaki 2006   4  0.446  0.037  0.137  0.6527  0.464  0.55
Falvay 1989   15  0.3727  0.0025  0.0730  0.2753  0.0537  0.12
Farrell 1958   66  0.2546  0.0069  0.0463  0.0468  0.0462  0.04
Ferenczy 1958   49  0.2930  0.0057  0.0554  0.0538  0.3434  0.13
Fliere 1977   53  0.2857  0.0032  0.0645  0.1269  0.0447  0.07
Fou 1978   12  0.399  0.0212  0.2014  0.5435  0.2710  0.38
Francois 1956   69  0.2438  0.0041  0.0644  0.1438  0.1729  0.15
Friedman 1923   80  0.1887  0.0075  0.0381  0.0383  0.0384  0.03
Friedman 1923b   82  0.1888  0.0076  0.0380  0.0386  0.0381  0.03
Friedman 1930   81  0.1890  0.0081  0.0379  0.0370  0.0477  0.03
Garcia 2007   74  0.2373  0.0071  0.0466  0.0466  0.0570  0.04
Garcia 2007b   62  0.2648  0.0064  0.0470  0.0476  0.0472  0.04
Gierzod 1998   5  0.4310  0.024  0.143  0.7219  0.443  0.56
Gornostaeva 1994   73  0.2434  0.0077  0.0383  0.0375  0.0382  0.03
Groot 1988   33  0.3160  0.0045  0.0842  0.1558  0.0542  0.09
Harasiewicz 1955   27  0.3311  0.0222  0.1019  0.4065  0.0533  0.14
Hatto 1993   7  0.412  0.113  0.1610  0.5935  0.2012  0.34
Hatto 1997   11  0.4022  0.0014  0.1717  0.4947  0.0624  0.17
Horowitz 1949   78  0.1985  0.0083  0.0469  0.0464  0.0463  0.04
Indjic 1988   8  0.4136  0.0010  0.2011  0.5846  0.0920  0.23
Kapell 1951   16  0.3615  0.0117  0.2316  0.4943  0.0921  0.21
Kissin 1993   47  0.2968  0.0051  0.0555  0.0558  0.0653  0.05
Kushner 1989   6  0.438  0.036  0.126  0.6536  0.249  0.39
Luisada 1991   70  0.2478  0.0070  0.0460  0.0477  0.0458  0.04
Lushtak 2004   42  0.3058  0.0042  0.0639  0.1988  0.0345  0.08
Malcuzynski 1961   9  0.404  0.049  0.179  0.6148  0.0722  0.21
Magaloff 1978   34  0.3156  0.0046  0.0746  0.0778  0.0349  0.05
Magin 1975   77  0.2289  0.0068  0.0459  0.0476  0.0460  0.04
Michalowski 1933   85  0.1586  0.0078  0.0375  0.0362  0.0567  0.04
Milkina 1970   14  0.3826  0.0015  0.1412  0.5642  0.1713  0.31
Mohovich 1999   23  0.3441  0.0021  0.0921  0.3855  0.0532  0.14
Moravec 1969   48  0.2976  0.0054  0.0649  0.0672  0.0448  0.05
Morozova 2008   17  0.3625  0.0016  0.1515  0.5339  0.2211  0.34
Neighaus 1950   52  0.2884  0.0049  0.0747  0.0777  0.0357  0.05
Niedzielski 1931   64  0.2514  0.0156  0.0557  0.0551  0.0551  0.05
Ohlsson 1999   36  0.3118  0.0119  0.1022  0.3476  0.0341  0.10
Osinska 1989   75  0.2319  0.0059  0.0373  0.0377  0.0374  0.03
Pachmann 1927   65  0.2537  0.0067  0.0465  0.0461  0.0565  0.04
Paderewski 1930   60  0.265  0.0423  0.1029  0.2736  0.3216  0.29
Perlemuter 1992   87  0.1571  0.0086  0.0285  0.0281  0.0385  0.02
Pierdomenico 2008   59  0.2655  0.0074  0.0464  0.0466  0.0459  0.04
Poblocka 1999   79  0.1842  0.0082  0.0289  0.0288  0.0286  0.02
Rabcewiczowa 1932   54  0.2853  0.0063  0.0372  0.0362  0.0561  0.04
Rachmaninoff 1923   83  0.1766  0.0084  0.0378  0.0387  0.0288  0.02
Rangell 2001   41  0.3035  0.0039  0.0628  0.2751  0.0635  0.13
Richter 1976   51  0.2963  0.0065  0.0558  0.0582  0.0464  0.04
Rosen 1989   50  0.2961  0.0062  0.0374  0.0379  0.0379  0.03
Rosenthal 1930   76  0.2275  0.0080  0.0384  0.0370  0.0478  0.03
Rosenthal 1931   45  0.3023  0.0035  0.0733  0.2126  0.4414  0.30
Rosenthal 1931b   30  0.3232  0.0029  0.0623  0.3320  0.537  0.42
Rosenthal 1931c   32  0.3213  0.0137  0.0643  0.1555  0.0543  0.09
Rosenthal 1931d   61  0.2652  0.0052  0.0553  0.0527  0.3038  0.12
Rossi 2007   86  0.1579  0.0088  0.0382  0.0378  0.0287  0.02
Rubinstein 1939   21  0.3424  0.0018  0.1318  0.4735  0.1617  0.27
Rubinstein 1952   37  0.3164  0.0038  0.0532  0.2275  0.0346  0.08
Rubinstein 1966   10  0.4021  0.0011  0.175  0.6663  0.0623  0.20
Schilhawsky 1960   26  0.3347  0.0034  0.0638  0.2042  0.1325  0.16
Shebanova 2002   19  0.3582  0.0030  0.0624  0.3255  0.0631  0.14
Smith 1975   56  0.2759  0.0048  0.0648  0.0675  0.0450  0.05
Sokolov 2002   25  0.3431  0.0036  0.0536  0.2046  0.0736  0.12
Sztompka 1959   72  0.2480  0.0066  0.0468  0.0483  0.0466  0.04
Tomsic 1995   22  0.3428  0.0033  0.0731  0.2562  0.0539  0.11
Uninsky 1932   35  0.3174  0.0027  0.0626  0.2844  0.0926  0.16
Uninsky 1971   13  0.387  0.035  0.138  0.6433  0.335  0.46
Wasowski 1980   84  0.1683  0.0085  0.0286  0.0270  0.0573  0.03
Zak 1937   46  0.3069  0.0061  0.0377  0.0371  0.0475  0.03
Zak 1951   29  0.3229  0.0050  0.0650  0.0667  0.0452  0.05
Average   1  0.501  0.431  0.431  0.8079  0.0328  0.15
Random 1   91  -0.1091  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   89  0.0162  0.0089  0.0288  0.0241  0.1454  0.05
Random 3   90  -0.0881  0.0090  0.0190  0.0160  0.0390  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).