Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.6249  0.0028  0.0540  0.1537  0.1342  0.14
Anderszewski 2003   43  0.6113  0.0224  0.0631  0.1916  0.4318  0.29
Ashkenazy 1981   3  0.781  0.231  0.231  0.602  0.591  0.59
Bacha 2000   27  0.6752  0.0048  0.0461  0.0410  0.4741  0.14
Badura 1965   75  0.4737  0.0066  0.0370  0.0357  0.0488  0.03
Barbosa 1983   76  0.4784  0.0076  0.0463  0.0460  0.0473  0.04
Biret 1990   10  0.7277  0.0016  0.0713  0.3314  0.3412  0.33
Blet 2003   53  0.5745  0.0072  0.0377  0.0371  0.0385  0.03
Block 1995   78  0.4627  0.0182  0.0285  0.0261  0.0489  0.03
Blumental 1952   55  0.5625  0.0122  0.0623  0.222  0.4516  0.31
Boshniakovich 1969   41  0.6219  0.0160  0.0548  0.0550  0.0569  0.05
Brailowsky 1960   48  0.5944  0.0069  0.0381  0.0345  0.0967  0.05
Bunin 1987   52  0.5785  0.0075  0.0549  0.0566  0.0475  0.04
Bunin 1987b   51  0.5770  0.0074  0.0379  0.0364  0.0482  0.03
Chiu 1999   79  0.4475  0.0061  0.0373  0.0341  0.1259  0.06
Cohen 1997   74  0.4771  0.0070  0.0383  0.0317  0.3647  0.10
Cortot 1951   32  0.664  0.0620  0.0718  0.2621  0.3617  0.31
Csalog 1996   58  0.5442  0.0083  0.0382  0.0327  0.3051  0.09
Czerny 1949   15  0.703  0.073  0.134  0.4410  0.522  0.48
Czerny 1990   21  0.698  0.049  0.089  0.3628  0.2419  0.29
Duchoud 2007   28  0.6660  0.0043  0.0641  0.1336  0.2138  0.17
Ezaki 2006   18  0.6948  0.0035  0.0824  0.2258  0.0449  0.09
Falvay 1989   29  0.665  0.055  0.1115  0.3223  0.3014  0.31
Farrell 1958   20  0.6959  0.0058  0.0455  0.0429  0.1852  0.08
Ferenczy 1958   56  0.5555  0.0065  0.0366  0.0341  0.1262  0.06
Fliere 1977   11  0.7253  0.0037  0.0536  0.1748  0.0550  0.09
Fou 1978   70  0.4954  0.0050  0.0365  0.0351  0.0671  0.04
Francois 1956   24  0.6790  0.0015  0.0716  0.2920  0.3020  0.29
Friedman 1923   88  0.2134  0.0063  0.0380  0.0339  0.1858  0.07
Friedman 1923b   87  0.2286  0.0064  0.0364  0.0339  0.1954  0.08
Friedman 1930   77  0.4611  0.0239  0.0630  0.1915  0.4021  0.28
Garcia 2007   82  0.3682  0.0077  0.0368  0.0361  0.0487  0.03
Garcia 2007b   85  0.2783  0.0084  0.0288  0.0244  0.0976  0.04
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   16  0.7016  0.0246  0.0453  0.0441  0.1655  0.08
Groot 1988   36  0.6330  0.0052  0.0450  0.0445  0.0864  0.06
Harasiewicz 1955   72  0.4872  0.0034  0.0827  0.2149  0.0548  0.10
Hatto 1993   73  0.4856  0.0031  0.0539  0.1615  0.3631  0.24
Hatto 1997   62  0.5335  0.0023  0.0628  0.2122  0.3524  0.27
Horowitz 1949   50  0.5891  0.0068  0.0371  0.0350  0.0572  0.04
Indjic 1988   69  0.4938  0.0030  0.0537  0.1720  0.3630  0.25
Kapell 1951   7  0.7310  0.0217  0.065  0.4320  0.426  0.42
Kissin 1993   54  0.5715  0.0213  0.0742  0.1236  0.2240  0.16
Kushner 1989   9  0.7361  0.0027  0.0522  0.2225  0.3025  0.26
Luisada 1991   44  0.6129  0.0012  0.0732  0.1929  0.2533  0.22
Lushtak 2004   37  0.6218  0.0221  0.0617  0.2637  0.1636  0.20
Malcuzynski 1961   4  0.7732  0.0014  0.0812  0.3520  0.3111  0.33
Magaloff 1978   12  0.7140  0.0010  0.0619  0.2532  0.2529  0.25
Magin 1975   59  0.5441  0.0053  0.0452  0.0445  0.0960  0.06
Michalowski 1933   67  0.4950  0.0025  0.0610  0.3613  0.449  0.40
Milkina 1970   39  0.6264  0.0051  0.0546  0.0545  0.1453  0.08
Mohovich 1999   30  0.6620  0.0149  0.0454  0.0479  0.0390  0.03
Moravec 1969   14  0.7112  0.028  0.0711  0.353  0.545  0.43
Morozova 2008   71  0.4828  0.0057  0.0456  0.0446  0.0668  0.05
Neighaus 1950   5  0.7562  0.007  0.088  0.3621  0.3610  0.36
Niedzielski 1931   49  0.5846  0.0047  0.0457  0.0411  0.3744  0.12
Ohlsson 1999   2  0.786  0.044  0.113  0.4511  0.493  0.47
Osinska 1989   22  0.6873  0.0029  0.0525  0.2123  0.3028  0.25
Pachmann 1927   83  0.3567  0.0087  0.0286  0.0258  0.0484  0.03
Paderewski 1930   23  0.6826  0.0136  0.0434  0.1815  0.3726  0.26
Perlemuter 1992   68  0.4965  0.0071  0.0367  0.0374  0.0378  0.03
Pierdomenico 2008   46  0.6087  0.0056  0.0462  0.0439  0.1356  0.07
Poblocka 1999   8  0.737  0.0418  0.087  0.3816  0.438  0.40
Rabcewiczowa 1932   33  0.6531  0.0038  0.0721  0.2316  0.4115  0.31
Rachmaninoff 1923   81  0.4279  0.0073  0.0460  0.0471  0.0380  0.03
Rangell 2001   42  0.6139  0.0059  0.0547  0.0549  0.0670  0.05
Richter 1976   80  0.4351  0.0086  0.0378  0.0384  0.0383  0.03
Rosen 1989   6  0.7323  0.0119  0.0814  0.328  0.547  0.42
Rosenthal 1930   31  0.6676  0.0055  0.0451  0.0428  0.2845  0.11
Rosenthal 1931   66  0.4947  0.0080  0.0458  0.0440  0.1257  0.07
Rosenthal 1931b   65  0.5166  0.0078  0.0372  0.0339  0.1365  0.06
Rosenthal 1931c   26  0.6717  0.0245  0.0545  0.0922  0.3339  0.17
Rosenthal 1931d   57  0.5463  0.0079  0.0369  0.0337  0.1363  0.06
Rossi 2007   89  0.1789  0.0088  0.0284  0.0252  0.0479  0.03
Rubinstein 1939   84  0.3043  0.0089  0.0289  0.0251  0.0581  0.03
Rubinstein 1952   60  0.5357  0.0062  0.0374  0.0340  0.1366  0.06
Rubinstein 1966   61  0.5374  0.0081  0.0375  0.0357  0.0574  0.04
Schilhawsky 1960   17  0.6933  0.0026  0.0520  0.2424  0.2927  0.26
Shebanova 2002   19  0.6980  0.0033  0.0633  0.1921  0.4222  0.28
Smith 1975   13  0.7121  0.016  0.096  0.4024  0.2613  0.32
Sokolov 2002   25  0.6714  0.0244  0.0543  0.1243  0.1543  0.13
Sztompka 1959   34  0.6424  0.0140  0.0529  0.2021  0.3723  0.27
Tomsic 1995   38  0.6268  0.0054  0.0459  0.0444  0.0961  0.06
Uninsky 1932   64  0.5222  0.0141  0.0735  0.1831  0.2932  0.23
Uninsky 1971   45  0.6036  0.0042  0.0444  0.1132  0.2837  0.18
Wasowski 1980   63  0.5269  0.0067  0.0376  0.0367  0.0477  0.03
Zak 1937   35  0.6488  0.0032  0.0638  0.1731  0.2435  0.20
Zak 1951   47  0.609  0.0311  0.0826  0.2134  0.2234  0.21
Average   1  0.832  0.112  0.202  0.5818  0.334  0.44
Random 1   91  -0.1081  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   90  -0.0558  0.0090  0.0290  0.0248  0.0486  0.03
Random 3   86  0.2478  0.0085  0.0287  0.025  0.4946  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).