Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.4077  0.0067  0.0458  0.0461  0.0468  0.04
Anderszewski 2003   1  0.752  0.152  0.253  0.4310  0.512  0.47
Ashkenazy 1981   5  0.703  0.123  0.141  0.5318  0.373  0.44
Bacha 2000   54  0.4467  0.0062  0.0360  0.0345  0.1056  0.05
Badura 1965   64  0.4162  0.0056  0.0363  0.0343  0.1253  0.06
Barbosa 1983   85  0.2082  0.0083  0.0279  0.0284  0.0287  0.02
Biret 1990   49  0.4778  0.0052  0.0459  0.0473  0.0378  0.03
Blet 2003   45  0.4839  0.0061  0.0369  0.0368  0.0475  0.03
Block 1995   20  0.5922  0.0127  0.0422  0.2522  0.2818  0.26
Blumental 1952   62  0.416  0.078  0.0940  0.1328  0.1832  0.15
Boshniakovich 1969   14  0.6129  0.0024  0.0528  0.2144  0.1231  0.16
Brailowsky 1960   16  0.6160  0.0017  0.0920  0.2629  0.2815  0.27
Bunin 1987   51  0.4750  0.0054  0.0456  0.0470  0.0470  0.04
Bunin 1987b   50  0.4771  0.0053  0.0454  0.0467  0.0464  0.04
Chiu 1999   59  0.4253  0.0049  0.0455  0.0461  0.0462  0.04
Cohen 1997   86  0.1947  0.0088  0.0286  0.0280  0.0289  0.02
Cortot 1951   75  0.3683  0.0084  0.0288  0.0278  0.0390  0.02
Csalog 1996   89  0.1635  0.0087  0.0276  0.0255  0.0674  0.03
Czerny 1949   74  0.3761  0.0069  0.0548  0.0574  0.0366  0.04
Czerny 1990   19  0.597  0.0323  0.0518  0.2638  0.1329  0.18
Duchoud 2007   24  0.5737  0.0038  0.0631  0.2150  0.0538  0.10
Ezaki 2006   11  0.6391  0.0022  0.0524  0.2363  0.0437  0.10
Falvay 1989   39  0.5328  0.0046  0.0746  0.0775  0.0358  0.05
Farrell 1958   61  0.4257  0.0073  0.0371  0.0380  0.0373  0.03
Ferenczy 1958   80  0.2584  0.0090  0.0190  0.0186  0.0291  0.01
Fliere 1977   10  0.6548  0.0020  0.0623  0.2453  0.0534  0.11
Fou 1978   35  0.5543  0.0029  0.0535  0.1942  0.1827  0.18
Francois 1956   77  0.3536  0.0064  0.0362  0.0345  0.0961  0.05
Friedman 1923   87  0.1872  0.0077  0.0281  0.0240  0.1755  0.06
Friedman 1923b   88  0.1779  0.0078  0.0275  0.0240  0.1754  0.06
Friedman 1930   82  0.2374  0.0076  0.0284  0.0277  0.0476  0.03
Garcia 2007   65  0.4085  0.0048  0.0549  0.0546  0.0852  0.06
Garcia 2007b   79  0.3186  0.0021  0.0639  0.1413  0.2626  0.19
Gierzod 1998   38  0.5431  0.0026  0.0545  0.0952  0.0451  0.06
Gornostaeva 1994   13  0.6266  0.0034  0.0530  0.2140  0.1628  0.18
Groot 1988   47  0.4833  0.0058  0.0361  0.0358  0.0479  0.03
Harasiewicz 1955   29  0.5651  0.007  0.119  0.3726  0.2810  0.32
Hatto 1993   34  0.5510  0.0212  0.0610  0.3614  0.366  0.36
Hatto 1997   42  0.5220  0.0119  0.0714  0.2823  0.3211  0.30
Horowitz 1949   37  0.5417  0.0140  0.0538  0.1434  0.1830  0.16
Indjic 1988   40  0.5314  0.0118  0.0911  0.3421  0.368  0.35
Kapell 1951   70  0.3815  0.0180  0.0277  0.0271  0.0383  0.02
Kissin 1993   8  0.6623  0.0110  0.098  0.3720  0.365  0.36
Kushner 1989   3  0.728  0.034  0.162  0.498  0.451  0.47
Luisada 1991   2  0.751  0.161  0.165  0.426  0.454  0.43
Lushtak 2004   53  0.4568  0.0050  0.0550  0.0574  0.0369  0.04
Malcuzynski 1961   7  0.685  0.085  0.124  0.4327  0.269  0.33
Magaloff 1978   4  0.719  0.036  0.116  0.3927  0.317  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   73  0.3711  0.0241  0.0444  0.0969  0.0450  0.06
Milkina 1970   17  0.6069  0.0036  0.0725  0.2239  0.1824  0.20
Mohovich 1999   27  0.5645  0.0045  0.0641  0.1259  0.0447  0.07
Moravec 1969   72  0.3726  0.0166  0.0365  0.0342  0.1057  0.05
Morozova 2008   12  0.6263  0.0014  0.0719  0.2634  0.1525  0.20
Neighaus 1950   25  0.5744  0.0035  0.0529  0.2149  0.0540  0.10
Niedzielski 1931   76  0.3530  0.0063  0.0367  0.0319  0.2742  0.09
Ohlsson 1999   15  0.6132  0.0030  0.0517  0.2738  0.1622  0.21
Osinska 1989   55  0.4341  0.0074  0.0278  0.0283  0.0381  0.02
Pachmann 1927   84  0.2064  0.0086  0.0285  0.0279  0.0385  0.02
Paderewski 1930   58  0.4321  0.0175  0.0283  0.0285  0.0284  0.02
Perlemuter 1992   36  0.5442  0.0043  0.0636  0.1546  0.0541  0.09
Pierdomenico 2008   18  0.5973  0.0016  0.0915  0.2823  0.2913  0.28
Poblocka 1999   48  0.4727  0.0171  0.0364  0.0384  0.0372  0.03
Rabcewiczowa 1932   69  0.3988  0.0079  0.0372  0.0385  0.0282  0.02
Rachmaninoff 1923   41  0.5238  0.0032  0.0516  0.2729  0.2021  0.23
Rangell 2001   23  0.5870  0.0037  0.0734  0.2043  0.1233  0.15
Richter 1976   30  0.564  0.109  0.0913  0.2920  0.2616  0.27
Rosen 1989   21  0.5825  0.0125  0.0521  0.2532  0.2619  0.25
Rosenthal 1930   43  0.4958  0.0060  0.0374  0.0367  0.0377  0.03
Rosenthal 1931   26  0.5789  0.0031  0.0526  0.2217  0.3812  0.29
Rosenthal 1931b   28  0.5680  0.0033  0.0532  0.2117  0.3814  0.28
Rosenthal 1931c   31  0.5524  0.0147  0.0551  0.0538  0.1543  0.09
Rosenthal 1931d   32  0.5575  0.0042  0.0437  0.1524  0.3023  0.21
Rossi 2007   60  0.4213  0.0115  0.0627  0.217  0.3217  0.26
Rubinstein 1939   81  0.2434  0.0059  0.0373  0.0345  0.1149  0.06
Rubinstein 1952   71  0.3859  0.0082  0.0287  0.0261  0.0580  0.03
Rubinstein 1966   66  0.4049  0.0081  0.0282  0.0278  0.0388  0.02
Schilhawsky 1960   57  0.4387  0.0065  0.0457  0.0454  0.0565  0.04
Shebanova 2002   46  0.4816  0.0155  0.0553  0.0540  0.1344  0.08
Smith 1975   22  0.5876  0.0028  0.0433  0.2083  0.0248  0.06
Sokolov 2002   9  0.6546  0.0013  0.0612  0.3241  0.1820  0.24
Sztompka 1959   78  0.3465  0.0085  0.0280  0.0273  0.0386  0.02
Tomsic 1995   33  0.5552  0.0044  0.0542  0.1155  0.0446  0.07
Uninsky 1932   68  0.4012  0.0170  0.0647  0.0665  0.0460  0.05
Uninsky 1971   52  0.4556  0.0068  0.0552  0.0548  0.0559  0.05
Wasowski 1980   44  0.4919  0.0151  0.0366  0.0352  0.0471  0.03
Zak 1937   63  0.4190  0.0057  0.0368  0.0361  0.0563  0.04
Zak 1951   56  0.4318  0.0139  0.0543  0.1155  0.0545  0.07
Average   6  0.6840  0.0011  0.077  0.3885  0.0335  0.11
Random 1   90  0.0754  0.0089  0.0289  0.022  0.5339  0.10
Random 2   91  -0.0955  0.0091  0.0191  0.0134  0.1767  0.04
Random 3   83  0.2181  0.0072  0.0370  0.0311  0.4436  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).