Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.4664  0.0063  0.0554  0.0528  0.3152  0.12
Anderszewski 2003   39  0.4665  0.0035  0.0636  0.2064  0.0555  0.10
Ashkenazy 1981   61  0.4256  0.0071  0.0474  0.0432  0.2558  0.10
Bacha 2000   85  0.2789  0.0087  0.0382  0.0365  0.0386  0.03
Badura 1965   66  0.4084  0.0059  0.0377  0.0348  0.0776  0.05
Barbosa 1983   20  0.5324  0.0015  0.0714  0.5731  0.3320  0.43
Biret 1990   31  0.486  0.0223  0.1022  0.4732  0.3523  0.41
Blet 2003   49  0.4534  0.0062  0.0462  0.0420  0.2756  0.10
Block 1995   81  0.3454  0.0067  0.0385  0.0354  0.0582  0.04
Blumental 1952   41  0.4685  0.0051  0.0551  0.0556  0.0677  0.05
Boshniakovich 1969   13  0.5617  0.0114  0.088  0.6116  0.4314  0.51
Brailowsky 1960   42  0.4630  0.0027  0.0837  0.1937  0.2934  0.23
Bunin 1987   54  0.4386  0.0056  0.0465  0.0441  0.1166  0.07
Bunin 1987b   62  0.4132  0.0061  0.0470  0.0447  0.0773  0.05
Chiu 1999   69  0.4033  0.0055  0.0459  0.0432  0.2260  0.09
Cohen 1997   75  0.3759  0.0077  0.0555  0.0541  0.0965  0.07
Cortot 1951   88  0.2173  0.0088  0.0376  0.0369  0.0389  0.03
Csalog 1996   18  0.542  0.066  0.1415  0.5411  0.5412  0.54
Czerny 1949   23  0.5150  0.0028  0.0725  0.4034  0.4322  0.41
Czerny 1990   30  0.4980  0.0030  0.0927  0.3546  0.1040  0.19
Duchoud 2007   82  0.3253  0.0076  0.0380  0.0334  0.3953  0.11
Ezaki 2006   16  0.5513  0.0119  0.1018  0.5329  0.3024  0.40
Falvay 1989   4  0.5935  0.005  0.145  0.6621  0.574  0.61
Farrell 1958   53  0.4447  0.0045  0.0742  0.1336  0.2939  0.19
Ferenczy 1958   73  0.3771  0.0081  0.0458  0.0459  0.0675  0.05
Fliere 1977   6  0.5814  0.0111  0.1216  0.5330  0.3917  0.45
Fou 1978   21  0.5226  0.0029  0.0732  0.3038  0.1835  0.23
Francois 1956   52  0.445  0.0244  0.0643  0.1313  0.4633  0.24
Friedman 1923   84  0.3161  0.0082  0.0475  0.0457  0.0585  0.04
Friedman 1923b   83  0.3122  0.0083  0.0471  0.0470  0.0483  0.04
Friedman 1930   59  0.4228  0.0040  0.0641  0.157  0.5931  0.30
Garcia 2007   58  0.4281  0.0049  0.0847  0.0815  0.5138  0.20
Garcia 2007b   22  0.514  0.0210  0.1212  0.584  0.682  0.63
Gierzod 1998   2  0.617  0.012  0.172  0.7217  0.525  0.61
Gornostaeva 1994   8  0.5710  0.0112  0.1211  0.597  0.607  0.59
Groot 1988   32  0.4876  0.0021  0.0826  0.3815  0.3928  0.38
Harasiewicz 1955   15  0.5511  0.0113  0.1019  0.5136  0.3819  0.44
Hatto 1993   47  0.4577  0.0048  0.0749  0.0750  0.0572  0.06
Hatto 1997   40  0.4667  0.0037  0.0634  0.2457  0.0457  0.10
Horowitz 1949   79  0.3539  0.0080  0.0378  0.0334  0.1961  0.08
Indjic 1988   50  0.4474  0.0046  0.0946  0.0950  0.0564  0.07
Kapell 1951   26  0.4960  0.0036  0.0735  0.2238  0.2536  0.23
Kissin 1993   27  0.4925  0.0032  0.1129  0.3436  0.3630  0.35
Kushner 1989   3  0.6023  0.003  0.183  0.6717  0.519  0.58
Luisada 1991   28  0.4955  0.0054  0.0553  0.0530  0.3050  0.12
Lushtak 2004   25  0.5037  0.0025  0.1220  0.4930  0.3918  0.44
Malcuzynski 1961   51  0.4490  0.0052  0.0552  0.0546  0.0963  0.07
Magaloff 1978   43  0.4662  0.0057  0.0557  0.0550  0.0769  0.06
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   74  0.378  0.0178  0.0463  0.044  0.6244  0.16
Milkina 1970   12  0.5643  0.0016  0.0710  0.6029  0.4015  0.49
Mohovich 1999   19  0.5366  0.0022  0.0924  0.4029  0.3825  0.39
Moravec 1969   34  0.4738  0.0039  0.0838  0.1840  0.1742  0.17
Morozova 2008   35  0.4746  0.0033  0.1028  0.3522  0.4127  0.38
Neighaus 1950   80  0.3451  0.0084  0.0469  0.0442  0.1167  0.07
Niedzielski 1931   87  0.2682  0.0085  0.0379  0.0354  0.0579  0.04
Ohlsson 1999   71  0.3978  0.0073  0.0468  0.0456  0.0580  0.04
Osinska 1989   7  0.5844  0.009  0.174  0.6735  0.4311  0.54
Pachmann 1927   60  0.4215  0.0153  0.0556  0.054  0.6441  0.18
Paderewski 1930   86  0.2787  0.0086  0.0288  0.0245  0.1274  0.05
Perlemuter 1992   46  0.4520  0.0043  0.0640  0.1512  0.4532  0.26
Pierdomenico 2008   78  0.3648  0.0079  0.0461  0.0449  0.0578  0.04
Poblocka 1999   33  0.4819  0.0034  0.0633  0.2757  0.0745  0.14
Rabcewiczowa 1932   44  0.4621  0.0024  0.1223  0.4416  0.4121  0.42
Rachmaninoff 1923   77  0.3772  0.0069  0.0383  0.0372  0.0487  0.03
Rangell 2001   65  0.409  0.0142  0.0645  0.1038  0.2147  0.14
Richter 1976   24  0.5027  0.0026  0.0830  0.3424  0.4226  0.38
Rosen 1989   14  0.5512  0.0120  0.0821  0.4713  0.5513  0.51
Rosenthal 1930   57  0.4340  0.0066  0.0472  0.0435  0.2954  0.11
Rosenthal 1931   56  0.4345  0.0060  0.0466  0.0418  0.4549  0.13
Rosenthal 1931b   55  0.4336  0.0058  0.0473  0.0414  0.5048  0.14
Rosenthal 1931c   67  0.4049  0.0065  0.0460  0.0460  0.0584  0.04
Rosenthal 1931d   64  0.4063  0.0068  0.0384  0.0325  0.3659  0.10
Rossi 2007   72  0.3888  0.0075  0.0387  0.0337  0.1562  0.07
Rubinstein 1939   36  0.4779  0.0050  0.0550  0.0535  0.2751  0.12
Rubinstein 1952   5  0.583  0.024  0.187  0.6416  0.548  0.59
Rubinstein 1966   10  0.5629  0.0017  0.0813  0.5834  0.4116  0.49
Schilhawsky 1960   29  0.4968  0.0031  0.0731  0.3126  0.4329  0.37
Shebanova 2002   45  0.4569  0.0047  0.0848  0.0835  0.2546  0.14
Smith 1975   9  0.5718  0.007  0.136  0.643  0.711  0.67
Sokolov 2002   70  0.4058  0.0064  0.0467  0.0446  0.0868  0.06
Sztompka 1959   63  0.4175  0.0070  0.0381  0.0375  0.0488  0.03
Tomsic 1995   48  0.4541  0.0038  0.0639  0.1626  0.3137  0.22
Uninsky 1932   76  0.3752  0.0072  0.0386  0.0343  0.1170  0.06
Uninsky 1971   68  0.4070  0.0074  0.0464  0.0472  0.0481  0.04
Wasowski 1980   38  0.4642  0.0041  0.0644  0.1239  0.2143  0.16
Zak 1937   17  0.5431  0.0018  0.0917  0.5312  0.5910  0.56
Zak 1951   11  0.5616  0.018  0.129  0.6110  0.643  0.62
Average   1  0.721  0.671  0.661  0.8329  0.446  0.60
Random 1   90  -0.0291  0.0089  0.0289  0.0234  0.2071  0.06
Random 2   89  -0.0283  0.0091  0.0191  0.0183  0.0291  0.01
Random 3   91  -0.1157  0.0090  0.0190  0.0171  0.0390  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).