Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.5570  0.0071  0.0372  0.0377  0.0379  0.03
Anderszewski 2003   75  0.4329  0.0075  0.0553  0.0561  0.0360  0.04
Ashkenazy 1981   35  0.5933  0.0044  0.0640  0.1467  0.0353  0.06
Bacha 2000   59  0.5049  0.0068  0.0461  0.0465  0.0458  0.04
Badura 1965   40  0.577  0.0328  0.0528  0.2131  0.2823  0.24
Barbosa 1983   76  0.4142  0.0021  0.0542  0.1363  0.0452  0.07
Biret 1990   38  0.5764  0.0064  0.0374  0.0371  0.0383  0.03
Blet 2003   44  0.5736  0.0049  0.0649  0.0676  0.0361  0.04
Block 1995   12  0.673  0.154  0.201  0.651  0.561  0.60
Blumental 1952   48  0.5512  0.0134  0.0637  0.1822  0.2327  0.20
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   7  0.7143  0.0014  0.0720  0.3022  0.3414  0.32
Bunin 1987   42  0.5759  0.0060  0.0454  0.0474  0.0381  0.03
Bunin 1987b   41  0.5785  0.0059  0.0456  0.0474  0.0372  0.03
Chiu 1999   58  0.5168  0.0043  0.0543  0.1259  0.0451  0.07
Cohen 1997   82  0.2969  0.0063  0.0364  0.0339  0.1454  0.06
Cortot 1951   50  0.5441  0.0066  0.0367  0.0347  0.0757  0.05
Csalog 1996   78  0.3555  0.0085  0.0286  0.0277  0.0388  0.02
Czerny 1949   55  0.5358  0.0076  0.0462  0.0465  0.0462  0.04
Czerny 1990   26  0.6371  0.0053  0.0458  0.0458  0.0465  0.04
Duchoud 2007   70  0.4452  0.0077  0.0377  0.0378  0.0380  0.03
Ezaki 2006   20  0.6446  0.0039  0.0532  0.1969  0.0347  0.08
Falvay 1989   24  0.6332  0.0035  0.0533  0.1971  0.0444  0.09
Farrell 1958   18  0.6517  0.0118  0.079  0.435  0.446  0.43
Ferenczy 1958   77  0.3886  0.0086  0.0287  0.0285  0.0290  0.02
Fliere 1977   1  0.764  0.103  0.232  0.5911  0.413  0.49
Fou 1978   14  0.672  0.172  0.193  0.588  0.512  0.54
Francois 1956   68  0.4665  0.0061  0.0370  0.0374  0.0385  0.03
Friedman 1923   88  0.0676  0.0088  0.0378  0.0367  0.0566  0.04
Friedman 1923b   87  0.0687  0.0087  0.0288  0.0266  0.0582  0.03
Friedman 1930   84  0.2380  0.0079  0.0380  0.0365  0.0478  0.03
Garcia 2007   65  0.4725  0.0052  0.0648  0.0614  0.3932  0.15
Garcia 2007b   80  0.3572  0.0065  0.0376  0.0323  0.2150  0.08
Gierzod 1998   29  0.6219  0.0150  0.0550  0.0548  0.0555  0.05
Gornostaeva 1994   5  0.736  0.035  0.155  0.5311  0.395  0.45
Groot 1988   17  0.6550  0.0016  0.0612  0.3738  0.1624  0.24
Harasiewicz 1955   56  0.539  0.0212  0.0713  0.3737  0.1625  0.24
Hatto 1993   86  0.2277  0.0080  0.0381  0.0372  0.0384  0.03
Hatto 1997   83  0.2588  0.0084  0.0379  0.0387  0.0289  0.02
Horowitz 1949   28  0.625  0.0510  0.0822  0.2929  0.2618  0.27
Indjic 1988   85  0.2374  0.0083  0.0284  0.0286  0.0287  0.02
Kapell 1951   73  0.4360  0.0082  0.0383  0.0383  0.0286  0.02
Kissin 1993   8  0.7020  0.0113  0.0711  0.3825  0.3012  0.34
Kushner 1989   10  0.6938  0.0015  0.0716  0.3337  0.2120  0.26
Luisada 1991   32  0.6140  0.0051  0.0552  0.0543  0.1248  0.08
Lushtak 2004   33  0.6023  0.0136  0.0525  0.2668  0.0346  0.09
Malcuzynski 1961   3  0.7322  0.016  0.108  0.5124  0.298  0.38
Magaloff 1978   4  0.731  0.191  0.196  0.527  0.474  0.49
Magin 1975   30  0.6127  0.0045  0.0644  0.1228  0.2131  0.16
Michalowski 1933   79  0.3562  0.0070  0.0369  0.0367  0.0476  0.03
Milkina 1970   25  0.6381  0.0027  0.0614  0.3528  0.2616  0.30
Mohovich 1999   11  0.6921  0.0125  0.0518  0.3230  0.1726  0.23
Moravec 1969   72  0.4426  0.0078  0.0382  0.0376  0.0367  0.03
Morozova 2008   19  0.6554  0.0023  0.0515  0.3326  0.1722  0.24
Neighaus 1950   6  0.7224  0.008  0.124  0.5426  0.337  0.42
Niedzielski 1931   74  0.4345  0.0081  0.0285  0.0261  0.0470  0.03
Ohlsson 1999   47  0.5644  0.0067  0.0371  0.0377  0.0375  0.03
Osinska 1989   9  0.6928  0.0019  0.0519  0.3029  0.2319  0.26
Pachmann 1927   64  0.4847  0.0017  0.0727  0.2415  0.4811  0.34
Paderewski 1930   13  0.6713  0.0122  0.0621  0.3017  0.3315  0.31
Perlemuter 1992   31  0.6157  0.0030  0.0626  0.2540  0.1130  0.17
Pierdomenico 2008   34  0.5961  0.0040  0.0535  0.1834  0.1829  0.18
Poblocka 1999   39  0.5734  0.0054  0.0460  0.0479  0.0368  0.03
Rabcewiczowa 1932   53  0.5448  0.0074  0.0459  0.0467  0.0371  0.03
Rachmaninoff 1923   69  0.4514  0.0133  0.0639  0.1445  0.0838  0.11
Rangell 2001   15  0.6630  0.009  0.0910  0.4212  0.349  0.38
Richter 1976   61  0.4951  0.0058  0.0366  0.0354  0.0473  0.03
Rosen 1989   16  0.6511  0.0211  0.0717  0.3223  0.3810  0.35
Rosenthal 1930   63  0.4878  0.0072  0.0457  0.0454  0.0464  0.04
Rosenthal 1931   71  0.4489  0.0046  0.0551  0.0525  0.3435  0.13
Rosenthal 1931b   66  0.4790  0.0026  0.0534  0.1920  0.3621  0.26
Rosenthal 1931c   43  0.5766  0.0048  0.1045  0.1036  0.1837  0.13
Rosenthal 1931d   54  0.5375  0.0047  0.0647  0.0620  0.3434  0.14
Rossi 2007   67  0.4782  0.0041  0.0641  0.1319  0.2428  0.18
Rubinstein 1939   81  0.3191  0.0062  0.0373  0.0319  0.3839  0.11
Rubinstein 1952   27  0.6337  0.0032  0.0538  0.1719  0.4517  0.28
Rubinstein 1966   45  0.5616  0.0120  0.0624  0.2620  0.4313  0.33
Schilhawsky 1960   62  0.4973  0.0055  0.0368  0.0375  0.0377  0.03
Shebanova 2002   21  0.6431  0.0042  0.0736  0.1850  0.0643  0.10
Smith 1975   23  0.6367  0.0024  0.0623  0.2654  0.0440  0.10
Sokolov 2002   51  0.5456  0.0069  0.0455  0.0482  0.0269  0.03
Sztompka 1959   60  0.5039  0.0073  0.0375  0.0371  0.0474  0.03
Tomsic 1995   22  0.6353  0.0037  0.0529  0.2154  0.0445  0.09
Uninsky 1932   57  0.5210  0.0238  0.0546  0.1040  0.1636  0.13
Uninsky 1971   52  0.5415  0.0156  0.0463  0.0461  0.0459  0.04
Wasowski 1980   36  0.5963  0.0057  0.0365  0.0329  0.2149  0.08
Zak 1937   37  0.5818  0.0131  0.0731  0.2057  0.0541  0.10
Zak 1951   46  0.5635  0.0029  0.0530  0.2151  0.0542  0.10
Average   2  0.758  0.037  0.107  0.5262  0.0433  0.14
Random 1   89  0.0383  0.0090  0.0190  0.0126  0.2556  0.05
Random 2   91  -0.0979  0.0089  0.0189  0.0135  0.1663  0.04
Random 3   90  0.0184  0.0091  0.0191  0.0170  0.0391  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).