Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.3242  0.0071  0.0466  0.0477  0.0381  0.03
Anderszewski 2003   66  0.3145  0.0063  0.0467  0.0463  0.0475  0.04
Ashkenazy 1981   8  0.5014  0.0110  0.199  0.659  0.656  0.65
Bacha 2000   79  0.2290  0.0079  0.0475  0.0458  0.0571  0.04
Badura 1965   69  0.3076  0.0073  0.0558  0.0566  0.0377  0.04
Barbosa 1983   32  0.4018  0.0025  0.0721  0.4547  0.0835  0.19
Biret 1990   70  0.3011  0.0166  0.0560  0.0556  0.0569  0.05
Blet 2003   15  0.4512  0.0122  0.1025  0.408  0.5518  0.47
Block 1995   58  0.3444  0.0054  0.0647  0.0645  0.0853  0.07
Blumental 1952   27  0.4159  0.0032  0.0732  0.3530  0.3230  0.33
Boshniakovich 1969   17  0.4521  0.0016  0.0722  0.4334  0.2729  0.34
Brailowsky 1960   81  0.2188  0.0082  0.0384  0.0380  0.0378  0.03
Bunin 1987   50  0.3570  0.0043  0.0643  0.1137  0.1941  0.14
Bunin 1987b   56  0.3482  0.0046  0.0557  0.0538  0.2146  0.10
Chiu 1999   40  0.3923  0.0038  0.0837  0.2333  0.1833  0.20
Cohen 1997   75  0.2449  0.0080  0.0382  0.0384  0.0384  0.03
Cortot 1951   86  0.1577  0.0083  0.0287  0.0277  0.0289  0.02
Csalog 1996   25  0.4251  0.0029  0.1131  0.3518  0.3928  0.37
Czerny 1949   71  0.2884  0.0068  0.0561  0.0546  0.0858  0.06
Czerny 1990   24  0.4248  0.0013  0.1712  0.5828  0.5013  0.54
Duchoud 2007   63  0.3255  0.0061  0.0464  0.0437  0.1452  0.07
Ezaki 2006   68  0.3180  0.0069  0.0480  0.0458  0.0660  0.05
Falvay 1989   34  0.3941  0.0041  0.0741  0.1851  0.0645  0.10
Farrell 1958   78  0.2362  0.0072  0.0472  0.0471  0.0379  0.03
Ferenczy 1958   87  0.0987  0.0087  0.0385  0.0383  0.0380  0.03
Fliere 1977   3  0.536  0.025  0.204  0.7217  0.499  0.59
Fou 1978   42  0.3822  0.0045  0.0553  0.0546  0.0755  0.06
Francois 1956   65  0.3139  0.0067  0.0473  0.0427  0.2748  0.10
Friedman 1923   60  0.3331  0.0058  0.0470  0.0444  0.1059  0.06
Friedman 1923b   59  0.3383  0.0059  0.0554  0.0540  0.1850  0.09
Friedman 1930   20  0.4313  0.0114  0.1113  0.5716  0.5511  0.56
Garcia 2007   73  0.2786  0.0065  0.0476  0.0452  0.0576  0.04
Garcia 2007b   16  0.457  0.0212  0.1414  0.565  0.698  0.62
Gierzod 1998   48  0.3743  0.0033  0.0833  0.3242  0.1334  0.20
Gornostaeva 1994   43  0.3857  0.0044  0.0644  0.1139  0.1344  0.12
Groot 1988   2  0.544  0.103  0.236  0.666  0.597  0.62
Harasiewicz 1955   14  0.4646  0.0018  0.0816  0.5450  0.0636  0.18
Hatto 1993   7  0.5124  0.006  0.242  0.757  0.663  0.70
Hatto 1997   28  0.4154  0.0020  0.1018  0.5027  0.3124  0.39
Horowitz 1949   62  0.3229  0.0070  0.0474  0.0447  0.0664  0.05
Indjic 1988   5  0.512  0.242  0.311  0.766  0.722  0.74
Kapell 1951   26  0.4173  0.0019  0.0823  0.4233  0.2231  0.30
Kissin 1993   6  0.513  0.107  0.395  0.716  0.801  0.75
Kushner 1989   9  0.5050  0.009  0.1310  0.6321  0.4215  0.51
Luisada 1991   11  0.4816  0.0115  0.1015  0.5411  0.5412  0.54
Lushtak 2004   57  0.3466  0.0050  0.0556  0.0546  0.0666  0.05
Malcuzynski 1961   12  0.4627  0.0011  0.1811  0.5924  0.4514  0.52
Magaloff 1978   33  0.4081  0.0036  0.0734  0.3145  0.0738  0.15
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   29  0.418  0.0131  0.1038  0.234  0.6326  0.38
Milkina 1970   49  0.3640  0.0047  0.0559  0.0547  0.0856  0.06
Mohovich 1999   52  0.3571  0.0051  0.0649  0.0663  0.0468  0.05
Moravec 1969   47  0.3772  0.0052  0.0650  0.0663  0.0561  0.05
Morozova 2008   46  0.3768  0.0040  0.0740  0.1958  0.0547  0.10
Neighaus 1950   67  0.3126  0.0060  0.0478  0.0480  0.0386  0.03
Niedzielski 1931   41  0.3856  0.0042  0.0839  0.1920  0.3832  0.27
Ohlsson 1999   19  0.4435  0.0023  0.0720  0.4524  0.3225  0.38
Osinska 1989   39  0.3932  0.0037  0.0836  0.2867  0.0542  0.12
Pachmann 1927   31  0.4034  0.0035  0.0735  0.308  0.6122  0.43
Paderewski 1930   38  0.3938  0.0048  0.0471  0.0419  0.5240  0.14
Perlemuter 1992   18  0.4415  0.0127  0.0826  0.3711  0.5320  0.44
Pierdomenico 2008   61  0.3253  0.0062  0.0562  0.0538  0.1451  0.08
Poblocka 1999   55  0.3452  0.0064  0.0468  0.0456  0.0662  0.05
Rabcewiczowa 1932   77  0.2489  0.0075  0.0563  0.0568  0.0473  0.04
Rachmaninoff 1923   72  0.2860  0.0076  0.0652  0.0667  0.0463  0.05
Rangell 2001   82  0.2030  0.0078  0.0381  0.0383  0.0288  0.02
Richter 1976   4  0.535  0.044  0.247  0.6610  0.685  0.67
Rosen 1989   53  0.3458  0.0055  0.0651  0.0665  0.0467  0.05
Rosenthal 1930   80  0.2265  0.0086  0.0479  0.0480  0.0382  0.03
Rosenthal 1931   83  0.2067  0.0081  0.0477  0.0466  0.0474  0.04
Rosenthal 1931b   84  0.1874  0.0084  0.0286  0.0268  0.0390  0.02
Rosenthal 1931c   76  0.2469  0.0077  0.0746  0.0774  0.0370  0.05
Rosenthal 1931d   85  0.1664  0.0085  0.0383  0.0377  0.0385  0.03
Rossi 2007   74  0.2625  0.0074  0.0465  0.0419  0.3943  0.12
Rubinstein 1939   51  0.3578  0.0049  0.0469  0.0465  0.0472  0.04
Rubinstein 1952   1  0.551  0.311  0.303  0.736  0.674  0.70
Rubinstein 1966   36  0.3933  0.0034  0.1130  0.3648  0.0837  0.17
Schilhawsky 1960   54  0.3485  0.0057  0.0555  0.0534  0.1749  0.09
Shebanova 2002   10  0.4910  0.018  0.268  0.6616  0.5210  0.59
Smith 1975   21  0.4337  0.0028  0.0929  0.3613  0.5819  0.46
Sokolov 2002   23  0.4220  0.0030  0.1027  0.377  0.6016  0.47
Sztompka 1959   37  0.3963  0.0056  0.0648  0.0649  0.0657  0.06
Tomsic 1995   44  0.3828  0.0039  0.0742  0.1741  0.1439  0.15
Uninsky 1932   35  0.3936  0.0024  0.0728  0.3724  0.3927  0.38
Uninsky 1971   45  0.3747  0.0053  0.0745  0.0770  0.0465  0.05
Wasowski 1980   13  0.469  0.0117  0.0817  0.5131  0.3721  0.43
Zak 1937   30  0.4119  0.0026  0.0724  0.4019  0.4223  0.41
Zak 1951   22  0.4217  0.0121  0.0919  0.4613  0.4817  0.47
Random 1   88  -0.0179  0.0088  0.0288  0.0235  0.2454  0.07
Random 2   89  -0.0275  0.0090  0.0190  0.0173  0.0387  0.02
Random 3   90  -0.0361  0.0089  0.0189  0.0142  0.1283  0.03

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).