Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.4076  0.0066  0.0457  0.0460  0.0467  0.04
Anderszewski 2003   1  0.752  0.152  0.253  0.439  0.512  0.47
Ashkenazy 1981   5  0.703  0.123  0.141  0.5317  0.373  0.44
Bacha 2000   53  0.4468  0.0061  0.0359  0.0344  0.1055  0.05
Badura 1965   63  0.4163  0.0055  0.0362  0.0342  0.1252  0.06
Barbosa 1983   84  0.2082  0.0082  0.0278  0.0283  0.0286  0.02
Biret 1990   48  0.4777  0.0051  0.0458  0.0472  0.0377  0.03
Blet 2003   44  0.4839  0.0060  0.0368  0.0367  0.0474  0.03
Block 1995   19  0.5922  0.0126  0.0421  0.2522  0.2818  0.26
Blumental 1952   61  0.416  0.079  0.0939  0.1327  0.1832  0.15
Boshniakovich 1969   13  0.6129  0.0023  0.0527  0.2143  0.1231  0.16
Brailowsky 1960   15  0.6152  0.0016  0.0919  0.2628  0.2815  0.27
Bunin 1987   50  0.4749  0.0053  0.0455  0.0469  0.0469  0.04
Bunin 1987b   49  0.4770  0.0052  0.0453  0.0466  0.0463  0.04
Chiu 1999   58  0.4253  0.0048  0.0454  0.0460  0.0461  0.04
Cohen 1997   85  0.1946  0.0087  0.0285  0.0279  0.0288  0.02
Cortot 1951   74  0.3683  0.0083  0.0287  0.0277  0.0389  0.02
Csalog 1996   88  0.1635  0.0086  0.0275  0.0254  0.0673  0.03
Czerny 1949   73  0.3761  0.0068  0.0547  0.0573  0.0365  0.04
Czerny 1990   18  0.597  0.0322  0.0517  0.2637  0.1329  0.18
Duchoud 2007   23  0.5737  0.0037  0.0630  0.2149  0.0537  0.10
Ezaki 2006   10  0.6390  0.0021  0.0523  0.2362  0.0436  0.10
Falvay 1989   38  0.5328  0.0045  0.0745  0.0774  0.0357  0.05
Farrell 1958   60  0.4257  0.0072  0.0370  0.0379  0.0372  0.03
Ferenczy 1958   79  0.2578  0.0089  0.0189  0.0185  0.0290  0.01
Fliere 1977   9  0.6547  0.0019  0.0622  0.2452  0.0534  0.11
Fou 1978   34  0.5542  0.0028  0.0534  0.1941  0.1827  0.18
Francois 1956   76  0.3536  0.0063  0.0361  0.0344  0.0960  0.05
Friedman 1923   86  0.1871  0.0076  0.0280  0.0239  0.1754  0.06
Friedman 1923b   87  0.1779  0.0077  0.0274  0.0239  0.1753  0.06
Friedman 1930   81  0.2373  0.0075  0.0283  0.0276  0.0475  0.03
Garcia 2007   64  0.4084  0.0047  0.0548  0.0545  0.0851  0.06
Garcia 2007b   78  0.3185  0.0020  0.0638  0.1413  0.2626  0.19
Gierzod 1998   37  0.5431  0.0025  0.0544  0.0951  0.0450  0.06
Gornostaeva 1994   12  0.6267  0.0033  0.0529  0.2139  0.1628  0.18
Groot 1988   46  0.4833  0.0057  0.0360  0.0357  0.0478  0.03
Harasiewicz 1955   28  0.5650  0.007  0.118  0.3725  0.2810  0.32
Hatto 1993   33  0.5510  0.0211  0.069  0.3613  0.366  0.36
Hatto 1997   41  0.5221  0.0118  0.0713  0.2822  0.3211  0.30
Horowitz 1949   36  0.5417  0.0139  0.0537  0.1433  0.1830  0.16
Indjic 1988   39  0.5314  0.0117  0.1010  0.3420  0.368  0.35
Kapell 1951   69  0.3815  0.0179  0.0276  0.0270  0.0382  0.02
Kissin 1993   7  0.6623  0.018  0.117  0.3719  0.365  0.36
Kushner 1989   3  0.728  0.034  0.162  0.497  0.451  0.47
Luisada 1991   2  0.751  0.171  0.165  0.425  0.454  0.43
Lushtak 2004   52  0.4564  0.0049  0.0549  0.0573  0.0368  0.04
Malcuzynski 1961   6  0.685  0.085  0.124  0.4326  0.269  0.33
Magaloff 1978   4  0.719  0.036  0.116  0.3926  0.317  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   72  0.3711  0.0240  0.0443  0.0968  0.0449  0.06
Milkina 1970   16  0.6069  0.0035  0.0724  0.2238  0.1824  0.20
Mohovich 1999   26  0.5644  0.0044  0.0640  0.1258  0.0446  0.07
Moravec 1969   71  0.3726  0.0165  0.0364  0.0341  0.1056  0.05
Morozova 2008   11  0.6265  0.0013  0.0718  0.2633  0.1525  0.20
Neighaus 1950   24  0.5743  0.0034  0.0528  0.2148  0.0539  0.10
Niedzielski 1931   75  0.3530  0.0062  0.0366  0.0318  0.2741  0.09
Ohlsson 1999   14  0.6132  0.0029  0.0516  0.2737  0.1622  0.21
Osinska 1989   54  0.4340  0.0073  0.0277  0.0282  0.0380  0.02
Pachmann 1927   83  0.2066  0.0085  0.0284  0.0278  0.0384  0.02
Paderewski 1930   57  0.4320  0.0174  0.0282  0.0284  0.0283  0.02
Perlemuter 1992   35  0.5441  0.0042  0.0635  0.1545  0.0540  0.09
Pierdomenico 2008   17  0.5972  0.0015  0.0914  0.2822  0.2913  0.28
Poblocka 1999   47  0.4727  0.0170  0.0363  0.0383  0.0371  0.03
Rabcewiczowa 1932   68  0.3987  0.0078  0.0371  0.0384  0.0281  0.02
Rachmaninoff 1923   40  0.5238  0.0031  0.0515  0.2728  0.2021  0.23
Rangell 2001   22  0.5858  0.0036  0.0733  0.2042  0.1233  0.15
Richter 1976   29  0.564  0.1010  0.0912  0.2919  0.2616  0.27
Rosen 1989   20  0.5825  0.0124  0.0520  0.2531  0.2619  0.25
Rosenthal 1930   42  0.4959  0.0059  0.0373  0.0366  0.0376  0.03
Rosenthal 1931   25  0.5788  0.0030  0.0525  0.2216  0.3812  0.29
Rosenthal 1931b   27  0.5680  0.0032  0.0531  0.2116  0.3814  0.28
Rosenthal 1931c   30  0.5524  0.0146  0.0550  0.0537  0.1542  0.09
Rosenthal 1931d   31  0.5574  0.0041  0.0436  0.1523  0.3023  0.21
Rossi 2007   59  0.4213  0.0114  0.0626  0.217  0.3217  0.26
Rubinstein 1939   80  0.2434  0.0058  0.0372  0.0344  0.1148  0.06
Rubinstein 1952   70  0.3860  0.0081  0.0286  0.0260  0.0579  0.03
Rubinstein 1966   65  0.4048  0.0080  0.0281  0.0277  0.0387  0.02
Schilhawsky 1960   56  0.4386  0.0064  0.0456  0.0453  0.0564  0.04
Shebanova 2002   45  0.4816  0.0154  0.0552  0.0539  0.1343  0.08
Smith 1975   21  0.5875  0.0027  0.0432  0.2082  0.0247  0.06
Sokolov 2002   8  0.6545  0.0012  0.0611  0.3240  0.1820  0.24
Sztompka 1959   77  0.3462  0.0084  0.0279  0.0272  0.0385  0.02
Tomsic 1995   32  0.5551  0.0043  0.0641  0.1154  0.0445  0.07
Uninsky 1932   67  0.4012  0.0169  0.0646  0.0664  0.0459  0.05
Uninsky 1971   51  0.4556  0.0067  0.0551  0.0547  0.0658  0.05
Wasowski 1980   43  0.4919  0.0150  0.0365  0.0351  0.0470  0.03
Zak 1937   62  0.4189  0.0056  0.0367  0.0360  0.0562  0.04
Zak 1951   55  0.4318  0.0138  0.0542  0.1154  0.0544  0.07
Random 1   89  0.0754  0.0088  0.0288  0.022  0.5338  0.10
Random 2   90  -0.0955  0.0090  0.0190  0.0134  0.1766  0.04
Random 3   82  0.2181  0.0071  0.0369  0.0311  0.4435  0.11

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).