Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.718  0.042  0.134  0.614  0.624  0.61
Anderszewski 2003   28  0.6180  0.0023  0.1230  0.3025  0.4330  0.36
Ashkenazy 1981   12  0.666  0.0510  0.129  0.541  0.685  0.61
Bacha 2000   85  0.4081  0.0082  0.0465  0.0446  0.0580  0.04
Badura 1965   51  0.5483  0.0057  0.0547  0.0533  0.3159  0.12
Barbosa 1983   82  0.4439  0.0067  0.0554  0.0540  0.1370  0.08
Biret 1990   59  0.5124  0.0151  0.0468  0.0476  0.0485  0.04
Blet 2003   58  0.5284  0.0079  0.0374  0.0347  0.0777  0.05
Block 1995   71  0.4971  0.0062  0.0467  0.0431  0.2269  0.09
Blumental 1952   44  0.5651  0.0042  0.0642  0.1530  0.2244  0.18
Boshniakovich 1969   7  0.6818  0.0119  0.0927  0.3529  0.4226  0.38
Brailowsky 1960   72  0.4958  0.0074  0.0385  0.0331  0.3166  0.10
Bunin 1987   78  0.4642  0.0048  0.0471  0.0418  0.4355  0.13
Bunin 1987b   79  0.4625  0.0149  0.0470  0.0418  0.4352  0.13
Chiu 1999   73  0.4938  0.0043  0.0743  0.146  0.4239  0.24
Cohen 1997   87  0.2773  0.0087  0.0461  0.0461  0.0484  0.04
Cortot 1951   84  0.4388  0.0086  0.0469  0.0455  0.0586  0.04
Csalog 1996   76  0.4715  0.0150  0.0460  0.0443  0.1171  0.07
Czerny 1949   25  0.6259  0.008  0.1014  0.5020  0.5118  0.50
Czerny 1990   23  0.6372  0.0027  0.0818  0.4622  0.4423  0.45
Duchoud 2007   49  0.5485  0.0040  0.0640  0.203  0.6332  0.35
Ezaki 2006   16  0.6634  0.0020  0.1023  0.4315  0.5519  0.49
Falvay 1989   67  0.5053  0.0075  0.0373  0.0347  0.0976  0.05
Farrell 1958   63  0.5170  0.0058  0.0459  0.0445  0.0873  0.06
Ferenczy 1958   80  0.4664  0.0083  0.0378  0.0359  0.0487  0.03
Fliere 1977   1  0.727  0.044  0.123  0.6411  0.517  0.57
Fou 1978   31  0.6117  0.0131  0.1126  0.3522  0.3829  0.36
Francois 1956   60  0.5144  0.0063  0.0548  0.0522  0.4547  0.15
Friedman 1923   48  0.5452  0.0054  0.0551  0.0527  0.3851  0.14
Friedman 1923b   47  0.5546  0.0053  0.0458  0.0429  0.4056  0.13
Friedman 1930   35  0.5931  0.0039  0.0837  0.2316  0.5133  0.34
Garcia 2007   37  0.5867  0.0052  0.0375  0.037  0.5554  0.13
Garcia 2007b   33  0.5948  0.0036  0.0634  0.2812  0.5227  0.38
Gierzod 1998   2  0.711  0.301  0.301  0.6710  0.612  0.64
Gornostaeva 1994   9  0.6727  0.0114  0.106  0.563  0.713  0.63
Groot 1988   61  0.5154  0.0028  0.0936  0.2319  0.3435  0.28
Harasiewicz 1955   13  0.664  0.0711  0.1410  0.5325  0.5016  0.51
Hatto 1993   41  0.5762  0.0035  0.1233  0.2835  0.2238  0.25
Hatto 1997   39  0.5736  0.0034  0.1132  0.2934  0.1840  0.23
Horowitz 1949   53  0.5355  0.0064  0.0455  0.0430  0.4253  0.13
Indjic 1988   40  0.5712  0.0233  0.0731  0.2936  0.2237  0.25
Kapell 1951   29  0.6149  0.0041  0.0639  0.2039  0.2042  0.20
Kissin 1993   5  0.7011  0.0212  0.1411  0.5311  0.618  0.57
Kushner 1989   11  0.663  0.085  0.1313  0.5221  0.5313  0.52
Luisada 1991   14  0.6626  0.0121  0.1024  0.388  0.5224  0.44
Lushtak 2004   56  0.5247  0.0059  0.0552  0.0549  0.0679  0.05
Malcuzynski 1961   43  0.5668  0.0061  0.0462  0.0429  0.2168  0.09
Magaloff 1978   74  0.4960  0.0069  0.0379  0.0345  0.0775  0.05
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   22  0.6314  0.0230  0.1025  0.361  0.7315  0.51
Milkina 1970   21  0.6477  0.0029  0.1217  0.4631  0.4125  0.43
Mohovich 1999   38  0.5865  0.0044  0.0744  0.1332  0.3741  0.22
Moravec 1969   77  0.4721  0.0178  0.0287  0.0239  0.1872  0.06
Morozova 2008   8  0.6737  0.0017  0.105  0.564  0.606  0.58
Neighaus 1950   46  0.5574  0.0055  0.0550  0.0526  0.3161  0.12
Niedzielski 1931   45  0.5675  0.0056  0.0553  0.0527  0.2957  0.12
Ohlsson 1999   24  0.6230  0.009  0.1415  0.498  0.5712  0.53
Osinska 1989   26  0.6266  0.0032  0.0928  0.3438  0.2136  0.27
Pachmann 1927   68  0.5041  0.0080  0.0472  0.044  0.5546  0.15
Paderewski 1930   83  0.4378  0.0084  0.0386  0.0342  0.1174  0.06
Perlemuter 1992   64  0.5132  0.0065  0.0546  0.0538  0.1767  0.09
Pierdomenico 2008   70  0.4961  0.0068  0.0376  0.0320  0.4064  0.11
Poblocka 1999   17  0.6519  0.0124  0.1121  0.4414  0.5122  0.47
Rabcewiczowa 1932   50  0.5413  0.0226  0.0829  0.3114  0.4128  0.36
Rachmaninoff 1923   30  0.619  0.036  0.1112  0.535  0.569  0.54
Rangell 2001   75  0.4733  0.0066  0.0463  0.0426  0.3760  0.12
Richter 1976   34  0.5935  0.0047  0.0456  0.0424  0.4948  0.14
Rosen 1989   3  0.7110  0.027  0.112  0.641  0.711  0.67
Rosenthal 1930   52  0.5429  0.0072  0.0380  0.0318  0.5158  0.12
Rosenthal 1931   54  0.5328  0.0071  0.0464  0.047  0.6345  0.16
Rosenthal 1931b   55  0.5322  0.0170  0.0383  0.037  0.6550  0.14
Rosenthal 1931c   62  0.5157  0.0076  0.0381  0.0316  0.5162  0.12
Rosenthal 1931d   65  0.5156  0.0077  0.0382  0.038  0.6349  0.14
Rossi 2007   86  0.4086  0.0085  0.0377  0.0354  0.0681  0.04
Rubinstein 1939   66  0.5069  0.0073  0.0384  0.0345  0.0682  0.04
Rubinstein 1952   69  0.495  0.0525  0.0841  0.1836  0.2343  0.20
Rubinstein 1966   57  0.5220  0.0160  0.0457  0.0452  0.0678  0.05
Schilhawsky 1960   20  0.6416  0.0115  0.1020  0.4516  0.5420  0.49
Shebanova 2002   18  0.6523  0.013  0.138  0.5418  0.4617  0.50
Smith 1975   6  0.692  0.0913  0.1122  0.432  0.6510  0.53
Sokolov 2002   42  0.5650  0.0038  0.0638  0.2212  0.4434  0.31
Sztompka 1959   10  0.6776  0.0016  0.117  0.5524  0.5111  0.53
Tomsic 1995   81  0.4463  0.0081  0.0466  0.0463  0.0583  0.04
Uninsky 1932   27  0.6243  0.0037  0.0635  0.2719  0.4731  0.36
Uninsky 1971   32  0.6179  0.0045  0.0645  0.0637  0.2065  0.11
Wasowski 1980   36  0.5982  0.0046  0.0549  0.0535  0.2463  0.11
Zak 1937   19  0.6545  0.0022  0.0919  0.4513  0.5221  0.48
Zak 1951   15  0.6640  0.0018  0.1016  0.4910  0.5614  0.52
Random 1   90  -0.1287  0.0090  0.0190  0.0162  0.0389  0.02
Random 2   89  -0.0789  0.0089  0.0189  0.0151  0.0488  0.02
Random 3   88  -0.0790  0.0088  0.0188  0.0147  0.0590  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).