Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.3221  0.0131  0.0827  0.4349  0.0728  0.17
Anderszewski 2003   9  0.3612  0.013  0.135  0.657  0.653  0.65
Ashkenazy 1981   3  0.4116  0.016  0.167  0.6442  0.2212  0.38
Bacha 2000   25  0.3042  0.0016  0.0916  0.5121  0.469  0.48
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   70  0.1761  0.0073  0.0464  0.0478  0.0376  0.03
Biret 1990   87  0.0383  0.0087  0.0386  0.0362  0.0483  0.03
Blet 2003   64  0.2069  0.0081  0.0373  0.0377  0.0377  0.03
Block 1995   16  0.349  0.0219  0.1020  0.4950  0.0629  0.17
Blumental 1952   7  0.366  0.038  0.148  0.6114  0.566  0.58
Boshniakovich 1969   42  0.2555  0.0030  0.0731  0.3855  0.0633  0.15
Brailowsky 1960   11  0.355  0.037  0.134  0.687  0.662  0.67
Bunin 1987   65  0.2075  0.0068  0.0369  0.0375  0.0482  0.03
Bunin 1987b   61  0.2076  0.0067  0.0372  0.0371  0.0475  0.03
Chiu 1999   41  0.2681  0.0053  0.0458  0.0470  0.0554  0.04
Cohen 1997   46  0.2472  0.0043  0.0742  0.1338  0.2725  0.19
Cortot 1951   50  0.2265  0.0055  0.0460  0.0452  0.0569  0.04
Csalog 1996   52  0.2236  0.0052  0.0457  0.0465  0.0562  0.04
Czerny 1949   85  0.1084  0.0084  0.0376  0.0346  0.0852  0.05
Czerny 1990   63  0.2044  0.0059  0.0370  0.0362  0.0566  0.04
Duchoud 2007   57  0.2151  0.0042  0.0541  0.1459  0.0546  0.08
Ezaki 2006   19  0.334  0.0611  0.1017  0.4928  0.4510  0.47
Falvay 1989   24  0.3022  0.0114  0.0921  0.4836  0.2116  0.32
Farrell 1958   48  0.2264  0.0050  0.0548  0.0538  0.2441  0.11
Ferenczy 1958   54  0.2238  0.0038  0.0839  0.1929  0.6114  0.34
Fliere 1977   17  0.3449  0.0033  0.1028  0.4182  0.0436  0.13
Fou 1978   2  0.431  0.401  0.391  0.778  0.621  0.69
Francois 1956   84  0.1047  0.0086  0.0287  0.0285  0.0291  0.02
Friedman 1923   13  0.3529  0.0025  0.0719  0.4947  0.1024  0.22
Friedman 1923b   14  0.3431  0.0026  0.0918  0.4949  0.1022  0.22
Friedman 1930   5  0.377  0.0224  0.0924  0.4652  0.0726  0.18
Garcia 2007   72  0.1677  0.0061  0.0378  0.0373  0.0479  0.03
Garcia 2007b   78  0.1543  0.0072  0.0371  0.0367  0.0486  0.03
Gierzod 1998   6  0.3614  0.015  0.173  0.6917  0.624  0.65
Gornostaeva 1994   75  0.1662  0.0079  0.0454  0.0465  0.0465  0.04
Groot 1988   37  0.2615  0.0151  0.0455  0.0473  0.0467  0.04
Harasiewicz 1955   45  0.2457  0.0077  0.0380  0.0387  0.0385  0.03
Hatto 1993   44  0.2485  0.0060  0.0456  0.0471  0.0568  0.04
Hatto 1997   66  0.1974  0.0069  0.0467  0.0470  0.0463  0.04
Horowitz 1949   73  0.1666  0.0065  0.0465  0.0472  0.0458  0.04
Indjic 1988   55  0.2186  0.0066  0.0375  0.0369  0.0561  0.04
Kapell 1951   76  0.1670  0.0064  0.0381  0.0362  0.0657  0.04
Kissin 1993   34  0.2737  0.0044  0.0543  0.1249  0.0843  0.10
Kushner 1989   10  0.3626  0.004  0.166  0.6525  0.448  0.53
Luisada 1991   39  0.2635  0.0058  0.0550  0.0579  0.0453  0.04
Lushtak 2004   62  0.2050  0.0027  0.0735  0.2830  0.2019  0.24
Malcuzynski 1961   8  0.3610  0.0215  0.1011  0.5639  0.1915  0.33
Magaloff 1978   68  0.1823  0.0057  0.0553  0.0568  0.0455  0.04
Magin 1975   59  0.2141  0.0074  0.0382  0.0377  0.0473  0.03
Michalowski 1933   47  0.2363  0.0056  0.0459  0.0461  0.0651  0.05
Milkina 1970   71  0.1752  0.0078  0.0463  0.0476  0.0374  0.03
Mohovich 1999   67  0.1887  0.0070  0.0368  0.0376  0.0381  0.03
Moravec 1969   26  0.2934  0.0035  0.0834  0.2965  0.0440  0.11
Morozova 2008   15  0.3427  0.0023  0.0822  0.4856  0.0531  0.15
Neighaus 1950   81  0.1288  0.0082  0.0461  0.0485  0.0284  0.03
Niedzielski 1931   51  0.2211  0.0221  0.0937  0.2569  0.0442  0.10
Ohlsson 1999   32  0.2789  0.0039  0.0738  0.1972  0.0444  0.09
Osinska 1989   86  0.0978  0.0083  0.0374  0.0385  0.0287  0.02
Pachmann 1927   23  0.3118  0.0120  0.1115  0.5241  0.2413  0.35
Paderewski 1930   56  0.2167  0.0063  0.0379  0.0369  0.0560  0.04
Perlemuter 1992   28  0.2979  0.0036  0.0836  0.2746  0.0637  0.13
Pierdomenico 2008   77  0.1571  0.0076  0.0383  0.0375  0.0372  0.03
Poblocka 1999   31  0.2868  0.0034  0.1232  0.3776  0.0439  0.12
Rabcewiczowa 1932   82  0.1139  0.0071  0.0462  0.0455  0.0649  0.05
Rachmaninoff 1923   43  0.2530  0.0046  0.0746  0.0771  0.0348  0.05
Rangell 2001   33  0.2733  0.0032  0.0830  0.3943  0.1223  0.22
Richter 1976   38  0.2660  0.0049  0.0551  0.0579  0.0459  0.04
Rosen 1989   29  0.2958  0.0028  0.0725  0.4459  0.0438  0.13
Rosenthal 1930   22  0.3120  0.0129  0.0726  0.4426  0.4311  0.43
Rosenthal 1931   27  0.2913  0.0110  0.159  0.5916  0.635  0.61
Rosenthal 1931b   36  0.2617  0.0113  0.1214  0.5320  0.607  0.56
Rosenthal 1931c   74  0.1653  0.0062  0.0466  0.0458  0.0470  0.04
Rosenthal 1931d   79  0.1554  0.0040  0.0840  0.1733  0.3718  0.25
Rossi 2007   91  -0.0890  0.0089  0.0290  0.0282  0.0389  0.02
Rubinstein 1939   40  0.2645  0.0054  0.0549  0.0563  0.0456  0.04
Rubinstein 1952   83  0.1191  0.0075  0.0384  0.0384  0.0290  0.02
Rubinstein 1966   12  0.3519  0.0118  0.1312  0.5578  0.0430  0.15
Schilhawsky 1960   58  0.2125  0.0045  0.0545  0.1140  0.1835  0.14
Shebanova 2002   18  0.3359  0.0022  0.0823  0.4766  0.0627  0.17
Smith 1975   69  0.1732  0.0080  0.0377  0.0369  0.0471  0.03
Sokolov 2002   80  0.1282  0.0085  0.0385  0.0388  0.0188  0.02
Sztompka 1959   30  0.2880  0.0037  0.0933  0.3153  0.0634  0.14
Tomsic 1995   35  0.263  0.0712  0.1229  0.4136  0.1617  0.26
Uninsky 1932   4  0.388  0.029  0.1610  0.5847  0.0821  0.22
Uninsky 1971   21  0.3228  0.0017  0.1113  0.5446  0.0920  0.22
Wasowski 1980   53  0.2240  0.0041  0.0544  0.1267  0.0545  0.08
Zak 1937   60  0.2124  0.0047  0.0647  0.0666  0.0550  0.05
Zak 1951   49  0.2273  0.0048  0.0552  0.0547  0.0747  0.06
Average   1  0.452  0.152  0.342  0.7781  0.0332  0.15
Random 1   89  -0.0156  0.0090  0.0289  0.0252  0.0480  0.03
Random 2   88  -0.0148  0.0088  0.0288  0.0249  0.0678  0.03
Random 3   90  -0.0846  0.0091  0.0191  0.0137  0.1564  0.04

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).