Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.813  0.142  0.234  0.564  0.512  0.53
Anderszewski 2003   74  0.4039  0.0073  0.0466  0.0449  0.0473  0.04
Ashkenazy 1981   69  0.4545  0.0052  0.0550  0.0553  0.0475  0.04
Bacha 2000   71  0.4258  0.0083  0.0381  0.0348  0.0668  0.04
Badura 1965   57  0.5252  0.0056  0.0463  0.0453  0.0474  0.04
Barbosa 1983   23  0.6727  0.0124  0.0725  0.2616  0.4019  0.32
Biret 1990   30  0.6315  0.0141  0.0438  0.1340  0.1540  0.14
Blet 2003   29  0.6461  0.0040  0.0534  0.1538  0.1539  0.15
Block 1995   62  0.4969  0.0077  0.0382  0.0355  0.0482  0.03
Blumental 1952   80  0.2264  0.0064  0.0373  0.0352  0.0483  0.03
Boshniakovich 1969   68  0.4678  0.0075  0.0374  0.0370  0.0384  0.03
Brailowsky 1960   64  0.4851  0.0078  0.0384  0.0362  0.0477  0.03
Bunin 1987   39  0.6231  0.0048  0.0551  0.0537  0.2050  0.10
Bunin 1987b   40  0.6241  0.0049  0.0746  0.0737  0.1945  0.12
Chiu 1999   72  0.4168  0.0066  0.0467  0.0452  0.0571  0.04
Cohen 1997   83  0.1946  0.0085  0.0285  0.0262  0.0485  0.03
Cortot 1951   45  0.5810  0.0247  0.0555  0.0534  0.2252  0.10
Csalog 1996   59  0.5128  0.0154  0.0548  0.0537  0.2249  0.10
Czerny 1949   1  0.831  0.241  0.231  0.682  0.681  0.68
Czerny 1990   5  0.7943  0.007  0.133  0.569  0.465  0.51
Duchoud 2007   31  0.6379  0.0046  0.0552  0.0542  0.1259  0.08
Ezaki 2006   9  0.7517  0.0112  0.159  0.4812  0.4310  0.45
Falvay 1989   8  0.757  0.0310  0.127  0.5211  0.427  0.47
Farrell 1958   49  0.5719  0.0161  0.0469  0.0435  0.1360  0.07
Ferenczy 1958   44  0.5840  0.0051  0.0553  0.0535  0.2447  0.11
Fliere 1977   14  0.7275  0.0022  0.0722  0.2928  0.2325  0.26
Fou 1978   54  0.5316  0.0119  0.0729  0.1938  0.2032  0.19
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   87  0.0889  0.0069  0.0557  0.0538  0.2053  0.10
Friedman 1923b   86  0.0972  0.0068  0.0549  0.0537  0.1951  0.10
Friedman 1930   75  0.3876  0.0058  0.0375  0.0330  0.3055  0.09
Garcia 2007   84  0.1680  0.0086  0.0286  0.0280  0.0389  0.02
Garcia 2007b   88  -0.0186  0.0088  0.0289  0.0281  0.0391  0.02
Gierzod 1998   22  0.6770  0.0025  0.0720  0.3016  0.2922  0.29
Gornostaeva 1994   6  0.775  0.056  0.1310  0.467  0.469  0.46
Groot 1988   2  0.829  0.025  0.126  0.546  0.503  0.52
Harasiewicz 1955   55  0.5326  0.0132  0.0528  0.2034  0.1735  0.18
Hatto 1993   85  0.1483  0.0082  0.0383  0.0363  0.0387  0.03
Hatto 1997   79  0.2767  0.0074  0.0460  0.0476  0.0381  0.03
Horowitz 1949   51  0.5624  0.0129  0.0632  0.1927  0.2729  0.23
Indjic 1988   82  0.1971  0.0081  0.0376  0.0373  0.0380  0.03
Kapell 1951   12  0.738  0.0215  0.0816  0.3323  0.4015  0.36
Kissin 1993   36  0.6244  0.0034  0.0731  0.1923  0.3227  0.25
Kushner 1989   20  0.6763  0.0027  0.0724  0.2726  0.3023  0.28
Luisada 1991   70  0.4538  0.0071  0.0372  0.0354  0.0569  0.04
Lushtak 2004   52  0.5456  0.0035  0.0630  0.1935  0.1734  0.18
Malcuzynski 1961   7  0.7647  0.0011  0.118  0.4910  0.476  0.48
Magaloff 1978   28  0.6418  0.0136  0.0533  0.1740  0.1537  0.16
Magin 1975   76  0.3523  0.0130  0.0545  0.0962  0.0367  0.05
Michalowski 1933   78  0.3187  0.0070  0.0377  0.0357  0.0572  0.04
Milkina 1970   33  0.6329  0.0045  0.0544  0.1044  0.1444  0.12
Mohovich 1999   10  0.7433  0.0014  0.0912  0.3822  0.3614  0.37
Moravec 1969   11  0.7449  0.0020  0.0627  0.2315  0.4320  0.31
Morozova 2008   60  0.5177  0.0033  0.0537  0.1335  0.1442  0.13
Neighaus 1950   15  0.724  0.074  0.135  0.5514  0.494  0.52
Niedzielski 1931   42  0.6142  0.0053  0.0458  0.0427  0.2254  0.09
Ohlsson 1999   41  0.6135  0.0055  0.0554  0.0542  0.1356  0.08
Osinska 1989   13  0.7322  0.0121  0.0619  0.3110  0.3917  0.35
Pachmann 1927   67  0.4784  0.0059  0.0379  0.0342  0.1362  0.06
Paderewski 1930   48  0.5721  0.0165  0.0461  0.0443  0.0961  0.06
Perlemuter 1992   32  0.6381  0.0037  0.0439  0.1331  0.2036  0.16
Pierdomenico 2008   43  0.5957  0.0050  0.0647  0.0629  0.2246  0.11
Poblocka 1999   38  0.6236  0.0044  0.0640  0.1240  0.1541  0.13
Rabcewiczowa 1932   18  0.7014  0.0116  0.0811  0.3810  0.4711  0.42
Rachmaninoff 1923   27  0.6530  0.0028  0.0721  0.2921  0.2921  0.29
Rangell 2001   65  0.4790  0.0084  0.0370  0.0369  0.0386  0.03
Richter 1976   61  0.5150  0.0067  0.0459  0.0482  0.0379  0.03
Rosen 1989   37  0.626  0.0317  0.1018  0.3120  0.4216  0.36
Rosenthal 1930   26  0.6588  0.0042  0.0442  0.1025  0.3633  0.19
Rosenthal 1931   66  0.4765  0.0076  0.0380  0.0343  0.1163  0.06
Rosenthal 1931b   73  0.4073  0.0080  0.0468  0.0444  0.0965  0.06
Rosenthal 1931c   35  0.6248  0.0038  0.0441  0.1118  0.3631  0.20
Rosenthal 1931d   63  0.4932  0.0079  0.0378  0.0353  0.0576  0.04
Rossi 2007   77  0.3454  0.0072  0.0462  0.0415  0.2548  0.10
Rubinstein 1939   81  0.2259  0.0087  0.0290  0.0268  0.0478  0.03
Rubinstein 1952   46  0.5811  0.0260  0.0465  0.0444  0.1066  0.06
Rubinstein 1966   50  0.5753  0.0057  0.0371  0.0332  0.2157  0.08
Schilhawsky 1960   25  0.6666  0.0026  0.0726  0.2530  0.2428  0.24
Shebanova 2002   53  0.5337  0.0063  0.0464  0.0434  0.1858  0.08
Smith 1975   16  0.7034  0.0013  0.1115  0.3330  0.2224  0.27
Sokolov 2002   24  0.6660  0.0023  0.0723  0.2734  0.2626  0.26
Sztompka 1959   34  0.6285  0.0043  0.0635  0.1428  0.3430  0.22
Tomsic 1995   19  0.6925  0.0118  0.0917  0.3217  0.3718  0.34
Uninsky 1932   56  0.5282  0.0039  0.0443  0.1037  0.1843  0.13
Uninsky 1971   47  0.5712  0.0131  0.0536  0.1340  0.1938  0.16
Wasowski 1980   58  0.5155  0.0062  0.0556  0.0574  0.0370  0.04
Zak 1937   21  0.6720  0.018  0.1214  0.3413  0.4113  0.37
Zak 1951   17  0.7013  0.019  0.1513  0.3713  0.4412  0.40
Average   4  0.792  0.153  0.172  0.6117  0.348  0.46
Random 1   91  -0.1791  0.0091  0.0191  0.0179  0.0390  0.02
Random 2   90  -0.0874  0.0090  0.0288  0.0274  0.0288  0.02
Random 3   89  -0.0662  0.0089  0.0287  0.0231  0.2064  0.06

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).