Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3459  0.0068  0.0461  0.0477  0.0381  0.03
Anderszewski 2003   6  0.625  0.074  0.2213  0.4011  0.5110  0.45
Ashkenazy 1981   2  0.661  0.211  0.211  0.729  0.531  0.62
Bacha 2000   66  0.3581  0.0066  0.0380  0.0342  0.1355  0.06
Badura 1965   62  0.3642  0.0059  0.0458  0.0452  0.0567  0.04
Barbosa 1983   80  0.2377  0.0076  0.0366  0.0370  0.0478  0.03
Biret 1990   67  0.3547  0.0069  0.0371  0.0375  0.0485  0.03
Blet 2003   32  0.4619  0.0144  0.0643  0.1255  0.0546  0.08
Block 1995   21  0.5053  0.0023  0.0517  0.2825  0.2918  0.28
Blumental 1952   42  0.437  0.0517  0.1132  0.2121  0.2820  0.24
Boshniakovich 1969   15  0.5321  0.0127  0.0825  0.2543  0.1326  0.18
Brailowsky 1960   41  0.4365  0.0026  0.0538  0.1542  0.1036  0.12
Bunin 1987   51  0.3955  0.0064  0.0464  0.0462  0.0470  0.04
Bunin 1987b   50  0.3969  0.0063  0.0375  0.0365  0.0476  0.03
Chiu 1999   53  0.3978  0.0041  0.0542  0.1241  0.1534  0.13
Cohen 1997   86  0.1836  0.0087  0.0377  0.0379  0.0384  0.03
Cortot 1951   78  0.2757  0.0083  0.0384  0.0375  0.0386  0.03
Csalog 1996   85  0.2045  0.0077  0.0383  0.0355  0.0664  0.04
Czerny 1949   73  0.3041  0.0061  0.0457  0.0482  0.0280  0.03
Czerny 1990   16  0.5316  0.0116  0.1214  0.4030  0.2316  0.30
Duchoud 2007   22  0.5070  0.0031  0.0520  0.2743  0.0929  0.16
Ezaki 2006   28  0.4854  0.0040  0.0736  0.1768  0.0444  0.08
Falvay 1989   35  0.4466  0.0047  0.0645  0.0659  0.0558  0.05
Farrell 1958   77  0.2738  0.0085  0.0286  0.0283  0.0388  0.02
Ferenczy 1958   87  0.1482  0.0090  0.0190  0.0189  0.0190  0.01
Fliere 1977   10  0.5729  0.0018  0.0815  0.3750  0.0630  0.15
Fou 1978   31  0.4739  0.0025  0.0518  0.2843  0.1522  0.20
Francois 1956   72  0.3224  0.0055  0.0553  0.0569  0.0372  0.04
Friedman 1923   81  0.2256  0.0073  0.0378  0.0335  0.1554  0.07
Friedman 1923b   83  0.2271  0.0074  0.0373  0.0344  0.1059  0.05
Friedman 1930   76  0.2826  0.0062  0.0465  0.0452  0.0566  0.04
Garcia 2007   84  0.2168  0.0081  0.0376  0.0366  0.0382  0.03
Garcia 2007b   74  0.3030  0.0039  0.0544  0.1123  0.2927  0.18
Gierzod 1998   36  0.4483  0.0049  0.0646  0.0643  0.0951  0.07
Gornostaeva 1994   17  0.5363  0.0034  0.0624  0.2542  0.1423  0.19
Groot 1988   24  0.4920  0.0124  0.0533  0.1949  0.0542  0.10
Harasiewicz 1955   18  0.5172  0.0011  0.1612  0.4123  0.2914  0.34
Hatto 1993   11  0.569  0.036  0.154  0.586  0.543  0.56
Hatto 1997   26  0.4860  0.0015  0.1316  0.3621  0.3413  0.35
Horowitz 1949   30  0.4731  0.0029  0.0529  0.2235  0.1525  0.18
Indjic 1988   13  0.558  0.037  0.145  0.5610  0.475  0.51
Kapell 1951   56  0.3728  0.0072  0.0456  0.0473  0.0375  0.03
Kissin 1993   4  0.636  0.065  0.172  0.6110  0.562  0.58
Kushner 1989   5  0.6261  0.0010  0.117  0.539  0.494  0.51
Luisada 1991   1  0.662  0.163  0.198  0.526  0.477  0.49
Lushtak 2004   55  0.3884  0.0050  0.0648  0.0673  0.0368  0.04
Malcuzynski 1961   3  0.633  0.112  0.213  0.5813  0.436  0.50
Magaloff 1978   7  0.6223  0.008  0.1311  0.4322  0.2812  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   52  0.3911  0.0222  0.0530  0.2250  0.0638  0.11
Milkina 1970   20  0.5058  0.0035  0.0628  0.2336  0.2021  0.21
Mohovich 1999   39  0.4452  0.0048  0.0554  0.0562  0.0469  0.04
Moravec 1969   59  0.3785  0.0054  0.0647  0.0646  0.0656  0.06
Morozova 2008   14  0.5333  0.0014  0.1319  0.2744  0.0831  0.15
Neighaus 1950   29  0.4879  0.0037  0.0731  0.2166  0.0443  0.09
Niedzielski 1931   54  0.3822  0.0045  0.0552  0.0515  0.3535  0.13
Ohlsson 1999   9  0.5813  0.0213  0.176  0.5415  0.379  0.45
Osinska 1989   58  0.3744  0.0071  0.0367  0.0362  0.0561  0.04
Pachmann 1927   82  0.2246  0.0078  0.0370  0.0355  0.0562  0.04
Paderewski 1930   43  0.4314  0.0257  0.0463  0.0476  0.0377  0.03
Perlemuter 1992   25  0.4927  0.0033  0.0526  0.2540  0.1324  0.18
Pierdomenico 2008   34  0.4562  0.0020  0.0622  0.2717  0.3315  0.30
Poblocka 1999   45  0.4137  0.0070  0.0368  0.0385  0.0373  0.03
Rabcewiczowa 1932   75  0.2886  0.0082  0.0382  0.0381  0.0287  0.02
Rachmaninoff 1923   46  0.4173  0.0036  0.0634  0.1943  0.1032  0.14
Rangell 2001   37  0.4474  0.0043  0.0641  0.1261  0.0453  0.07
Richter 1976   12  0.554  0.099  0.119  0.485  0.438  0.45
Rosen 1989   38  0.4467  0.0042  0.0639  0.1583  0.0352  0.07
Rosenthal 1930   70  0.3380  0.0079  0.0381  0.0380  0.0383  0.03
Rosenthal 1931   60  0.3687  0.0052  0.0549  0.0531  0.2140  0.10
Rosenthal 1931b   63  0.3588  0.0056  0.0460  0.0436  0.1748  0.08
Rosenthal 1931c   44  0.4289  0.0058  0.0462  0.0455  0.0571  0.04
Rosenthal 1931d   64  0.3575  0.0065  0.0379  0.0336  0.1457  0.06
Rossi 2007   71  0.3334  0.0038  0.0537  0.159  0.4119  0.25
Rubinstein 1939   79  0.2425  0.0084  0.0285  0.0250  0.0574  0.03
Rubinstein 1952   47  0.4118  0.0160  0.0459  0.0451  0.0760  0.05
Rubinstein 1966   61  0.3651  0.0075  0.0374  0.0373  0.0479  0.03
Schilhawsky 1960   65  0.3590  0.0067  0.0372  0.0357  0.0565  0.04
Shebanova 2002   23  0.4910  0.0219  0.0621  0.2730  0.3217  0.29
Smith 1975   19  0.5043  0.0021  0.0623  0.2575  0.0439  0.10
Sokolov 2002   8  0.6112  0.0212  0.1410  0.4425  0.3611  0.40
Sztompka 1959   69  0.3440  0.0080  0.0369  0.0359  0.0563  0.04
Tomsic 1995   27  0.4832  0.0032  0.0527  0.2454  0.0537  0.11
Uninsky 1932   48  0.4015  0.0151  0.0550  0.0543  0.1050  0.07
Uninsky 1971   40  0.4335  0.0053  0.0551  0.0544  0.1245  0.08
Wasowski 1980   33  0.4617  0.0130  0.0535  0.1941  0.1528  0.17
Zak 1937   57  0.3764  0.0046  0.0555  0.0542  0.0949  0.07
Zak 1951   49  0.3948  0.0028  0.0540  0.1442  0.1533  0.14
Random 1   89  0.0250  0.0088  0.0288  0.0216  0.3347  0.08
Random 2   90  -0.0349  0.0089  0.0189  0.0167  0.0389  0.02
Random 3   88  0.1276  0.0086  0.0287  0.022  0.5141  0.10

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).