Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.3460  0.0069  0.0462  0.0478  0.0382  0.03
Anderszewski 2003   7  0.625  0.074  0.2214  0.4012  0.5110  0.45
Ashkenazy 1981   2  0.661  0.211  0.211  0.7210  0.531  0.62
Bacha 2000   67  0.3582  0.0067  0.0381  0.0343  0.1356  0.06
Badura 1965   63  0.3643  0.0060  0.0459  0.0453  0.0568  0.04
Barbosa 1983   81  0.2378  0.0077  0.0367  0.0371  0.0479  0.03
Biret 1990   68  0.3548  0.0070  0.0372  0.0376  0.0486  0.03
Blet 2003   33  0.4619  0.0145  0.0644  0.1256  0.0547  0.08
Block 1995   22  0.5054  0.0024  0.0518  0.2826  0.2918  0.28
Blumental 1952   43  0.437  0.0518  0.1133  0.2122  0.2820  0.24
Boshniakovich 1969   16  0.5321  0.0128  0.0826  0.2544  0.1326  0.18
Brailowsky 1960   42  0.4366  0.0027  0.0539  0.1543  0.1037  0.12
Bunin 1987   52  0.3956  0.0065  0.0465  0.0463  0.0471  0.04
Bunin 1987b   51  0.3970  0.0064  0.0376  0.0366  0.0477  0.03
Chiu 1999   54  0.3979  0.0042  0.0543  0.1242  0.1535  0.13
Cohen 1997   87  0.1836  0.0088  0.0378  0.0380  0.0385  0.03
Cortot 1951   79  0.2758  0.0084  0.0385  0.0376  0.0387  0.03
Csalog 1996   86  0.2047  0.0078  0.0384  0.0356  0.0665  0.04
Czerny 1949   74  0.3042  0.0062  0.0458  0.0483  0.0281  0.03
Czerny 1990   17  0.5316  0.0117  0.1215  0.4031  0.2316  0.30
Duchoud 2007   23  0.5071  0.0032  0.0521  0.2744  0.0929  0.16
Ezaki 2006   29  0.4855  0.0041  0.0737  0.1769  0.0445  0.08
Falvay 1989   36  0.4467  0.0048  0.0646  0.0660  0.0559  0.05
Farrell 1958   78  0.2738  0.0086  0.0287  0.0284  0.0389  0.02
Ferenczy 1958   88  0.1483  0.0091  0.0191  0.0190  0.0191  0.01
Fliere 1977   11  0.5729  0.0019  0.0816  0.3751  0.0630  0.15
Fou 1978   32  0.4739  0.0026  0.0519  0.2844  0.1522  0.20
Francois 1956   73  0.3224  0.0056  0.0554  0.0570  0.0373  0.04
Friedman 1923   82  0.2257  0.0074  0.0379  0.0336  0.1555  0.07
Friedman 1923b   84  0.2272  0.0075  0.0374  0.0345  0.1060  0.05
Friedman 1930   77  0.2825  0.0063  0.0366  0.0353  0.0567  0.04
Garcia 2007   85  0.2168  0.0082  0.0377  0.0367  0.0383  0.03
Garcia 2007b   75  0.3030  0.0040  0.0545  0.1124  0.2927  0.18
Gierzod 1998   37  0.4484  0.0050  0.0647  0.0644  0.0952  0.07
Gornostaeva 1994   18  0.5364  0.0035  0.0625  0.2543  0.1423  0.19
Groot 1988   25  0.4920  0.0125  0.0534  0.1950  0.0543  0.10
Harasiewicz 1955   19  0.5173  0.0012  0.1613  0.4124  0.2914  0.34
Hatto 1993   12  0.569  0.036  0.134  0.587  0.543  0.56
Hatto 1997   27  0.4861  0.0016  0.1317  0.3622  0.3413  0.35
Horowitz 1949   31  0.4731  0.0030  0.0530  0.2236  0.1525  0.18
Indjic 1988   14  0.558  0.037  0.146  0.5611  0.475  0.51
Kapell 1951   57  0.3728  0.0073  0.0457  0.0474  0.0376  0.03
Kissin 1993   5  0.636  0.065  0.152  0.6111  0.562  0.58
Kushner 1989   6  0.6262  0.0011  0.118  0.5310  0.494  0.51
Luisada 1991   1  0.662  0.163  0.199  0.527  0.477  0.49
Lushtak 2004   56  0.3885  0.0051  0.0649  0.0674  0.0369  0.04
Malcuzynski 1961   4  0.633  0.112  0.213  0.5814  0.436  0.50
Magaloff 1978   8  0.6223  0.009  0.1312  0.4323  0.2812  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   53  0.3911  0.0223  0.0531  0.2251  0.0540  0.10
Milkina 1970   21  0.5059  0.0036  0.0629  0.2337  0.2021  0.21
Mohovich 1999   40  0.4453  0.0049  0.0555  0.0563  0.0470  0.04
Moravec 1969   60  0.3786  0.0055  0.0648  0.0647  0.0657  0.06
Morozova 2008   15  0.5333  0.0015  0.1320  0.2745  0.0831  0.15
Neighaus 1950   30  0.4880  0.0038  0.0732  0.2167  0.0444  0.09
Niedzielski 1931   55  0.3822  0.0046  0.0553  0.0516  0.3536  0.13
Ohlsson 1999   10  0.5813  0.0214  0.177  0.5416  0.379  0.45
Osinska 1989   59  0.3745  0.0072  0.0368  0.0363  0.0562  0.04
Pachmann 1927   83  0.2246  0.0079  0.0371  0.0356  0.0563  0.04
Paderewski 1930   44  0.4314  0.0258  0.0464  0.0477  0.0378  0.03
Perlemuter 1992   26  0.4927  0.0034  0.0527  0.2541  0.1324  0.18
Pierdomenico 2008   35  0.4563  0.0021  0.0623  0.2718  0.3315  0.30
Poblocka 1999   46  0.4137  0.0071  0.0369  0.0386  0.0374  0.03
Rabcewiczowa 1932   76  0.2887  0.0083  0.0383  0.0382  0.0288  0.02
Rachmaninoff 1923   47  0.4174  0.0037  0.0635  0.1944  0.1033  0.14
Rangell 2001   38  0.4475  0.0044  0.0642  0.1262  0.0454  0.07
Richter 1976   13  0.554  0.0910  0.1110  0.486  0.438  0.45
Rosen 1989   39  0.4469  0.0043  0.0640  0.1584  0.0353  0.07
Rosenthal 1930   71  0.3381  0.0080  0.0382  0.0381  0.0384  0.03
Rosenthal 1931   61  0.3688  0.0053  0.0550  0.0532  0.2141  0.10
Rosenthal 1931b   64  0.3589  0.0057  0.0461  0.0437  0.1749  0.08
Rosenthal 1931c   45  0.4290  0.0059  0.0463  0.0456  0.0572  0.04
Rosenthal 1931d   65  0.3576  0.0066  0.0380  0.0337  0.1458  0.06
Rossi 2007   72  0.3334  0.0039  0.0538  0.159  0.4119  0.25
Rubinstein 1939   80  0.2426  0.0085  0.0286  0.0251  0.0575  0.03
Rubinstein 1952   48  0.4118  0.0161  0.0460  0.0452  0.0761  0.05
Rubinstein 1966   62  0.3652  0.0076  0.0375  0.0374  0.0480  0.03
Schilhawsky 1960   66  0.3591  0.0068  0.0373  0.0358  0.0566  0.04
Shebanova 2002   24  0.4910  0.0220  0.0622  0.2731  0.3217  0.29
Smith 1975   20  0.5044  0.0022  0.0624  0.2576  0.0439  0.10
Sokolov 2002   9  0.6112  0.0213  0.1411  0.4426  0.3611  0.40
Sztompka 1959   70  0.3441  0.0081  0.0370  0.0360  0.0564  0.04
Tomsic 1995   28  0.4832  0.0033  0.0528  0.2455  0.0538  0.11
Uninsky 1932   49  0.4015  0.0152  0.0551  0.0544  0.1051  0.07
Uninsky 1971   41  0.4335  0.0054  0.0552  0.0545  0.1246  0.08
Wasowski 1980   34  0.4617  0.0131  0.0536  0.1942  0.1528  0.17
Zak 1937   58  0.3765  0.0047  0.0556  0.0543  0.0950  0.07
Zak 1951   50  0.3949  0.0029  0.0541  0.1443  0.1534  0.14
Average   3  0.6440  0.008  0.145  0.5763  0.0432  0.15
Random 1   90  0.0251  0.0089  0.0289  0.0216  0.3448  0.08
Random 2   91  -0.0350  0.0090  0.0190  0.0167  0.0390  0.02
Random 3   89  0.1277  0.0087  0.0288  0.022  0.5242  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).