Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.2574  0.0034  0.1032  0.3862  0.0438  0.12
Anderszewski 2003   50  0.2162  0.0038  0.0742  0.2038  0.1630  0.18
Ashkenazy 1981   74  0.1463  0.0078  0.0373  0.0382  0.0376  0.03
Bacha 2000   64  0.1783  0.0045  0.0651  0.0647  0.0648  0.06
Badura 1965   82  0.1030  0.0082  0.0284  0.0286  0.0388  0.02
Barbosa 1983   41  0.2333  0.0043  0.0743  0.1664  0.0544  0.09
Biret 1990   8  0.432  0.154  0.2811  0.703  0.796  0.74
Blet 2003   33  0.2648  0.0037  0.0738  0.3057  0.0636  0.13
Block 1995   32  0.2664  0.0042  0.1039  0.2564  0.0541  0.11
Blumental 1952   85  0.0761  0.0072  0.0372  0.0359  0.0564  0.04
Boshniakovich 1969   66  0.1619  0.0056  0.0460  0.0483  0.0375  0.03
Brailowsky 1960   45  0.2259  0.0055  0.0649  0.0654  0.0649  0.06
Bunin 1987   48  0.219  0.0152  0.0654  0.0662  0.0557  0.05
Bunin 1987b   47  0.2155  0.0053  0.0655  0.0660  0.0555  0.05
Chiu 1999   43  0.2257  0.0061  0.0462  0.0477  0.0460  0.04
Cohen 1997   1  0.523  0.122  0.231  0.843  0.753  0.79
Cortot 1951   18  0.347  0.0323  0.1519  0.5817  0.5413  0.56
Csalog 1996   69  0.1675  0.0081  0.0283  0.0276  0.0468  0.03
Czerny 1949   3  0.491  0.401  0.393  0.812  0.871  0.84
Czerny 1990   80  0.1176  0.0079  0.0376  0.0383  0.0290  0.02
Duchoud 2007   38  0.2545  0.0044  0.0644  0.1265  0.0545  0.08
Ezaki 2006   10  0.4136  0.0012  0.1610  0.7219  0.6210  0.67
Falvay 1989   25  0.3221  0.0021  0.1618  0.5911  0.4518  0.52
Farrell 1958   31  0.2710  0.0133  0.1127  0.4633  0.3026  0.37
Ferenczy 1958   28  0.3140  0.0024  0.1623  0.5220  0.7112  0.61
Fliere 1977   53  0.2084  0.0067  0.0464  0.0472  0.0458  0.04
Fou 1978   52  0.2034  0.0046  0.0653  0.0683  0.0362  0.04
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   75  0.1177  0.0084  0.0285  0.0271  0.0479  0.03
Friedman 1923b   76  0.1185  0.0085  0.0282  0.0268  0.0477  0.03
Friedman 1930   62  0.1746  0.0064  0.0366  0.0379  0.0371  0.03
Garcia 2007   84  0.0978  0.0069  0.0370  0.0379  0.0374  0.03
Garcia 2007b   78  0.1179  0.0077  0.0367  0.0375  0.0478  0.03
Gierzod 1998   87  0.0369  0.0060  0.0465  0.0477  0.0273  0.03
Gornostaeva 1994   4  0.485  0.065  0.264  0.787  0.774  0.77
Groot 1988   29  0.3137  0.0028  0.1230  0.4155  0.0731  0.17
Harasiewicz 1955   7  0.4425  0.009  0.1514  0.6717  0.4614  0.56
Hatto 1993   46  0.2272  0.0049  0.0747  0.0766  0.0652  0.06
Hatto 1997   15  0.3517  0.0015  0.1613  0.6720  0.3720  0.50
Horowitz 1949   65  0.1638  0.0062  0.0369  0.0372  0.0467  0.03
Indjic 1988   54  0.1958  0.0050  0.0648  0.0670  0.0556  0.05
Kapell 1951   49  0.2122  0.0047  0.0652  0.0670  0.0554  0.05
Kissin 1993   89  0.0073  0.0089  0.0286  0.0283  0.0386  0.02
Kushner 1989   72  0.1549  0.0075  0.0277  0.0285  0.0281  0.02
Luisada 1991   40  0.2431  0.0051  0.0650  0.0673  0.0453  0.05
Lushtak 2004   60  0.1852  0.0057  0.0458  0.0467  0.0563  0.04
Malcuzynski 1961   68  0.1680  0.0065  0.0368  0.0381  0.0365  0.03
Magaloff 1978   30  0.3056  0.0040  0.0640  0.2266  0.0442  0.09
Magin 1975   57  0.1943  0.0059  0.0461  0.0447  0.0950  0.06
Michalowski 1933   42  0.2323  0.0054  0.0746  0.0769  0.0551  0.06
Milkina 1970   14  0.3911  0.0111  0.198  0.739  0.658  0.69
Mohovich 1999   21  0.3326  0.0020  0.1220  0.5628  0.3123  0.42
Moravec 1969   20  0.3314  0.0119  0.1422  0.5430  0.2625  0.37
Morozova 2008   56  0.1929  0.0063  0.0463  0.0485  0.0370  0.03
Neighaus 1950   9  0.4215  0.0010  0.169  0.7326  0.3321  0.49
Niedzielski 1931   77  0.1128  0.0083  0.0287  0.0282  0.0380  0.02
Ohlsson 1999   16  0.3535  0.0029  0.1034  0.3564  0.0437  0.12
Osinska 1989   5  0.4518  0.008  0.167  0.7312  0.677  0.70
Pachmann 1927   70  0.1554  0.0086  0.0281  0.0284  0.0384  0.02
Paderewski 1930   58  0.1886  0.0048  0.0845  0.0861  0.0646  0.07
Perlemuter 1992   26  0.3265  0.0035  0.0836  0.3163  0.0439  0.11
Pierdomenico 2008   55  0.1981  0.0058  0.0556  0.0565  0.0461  0.04
Poblocka 1999   39  0.2450  0.0032  0.0931  0.4048  0.0633  0.15
Rabcewiczowa 1932   6  0.446  0.036  0.216  0.758  0.755  0.75
Rachmaninoff 1923   36  0.2566  0.0041  0.0741  0.2067  0.0443  0.09
Rangell 2001   44  0.2239  0.0030  0.0829  0.4161  0.0535  0.14
Richter 1976   79  0.1147  0.0080  0.0280  0.0284  0.0383  0.02
Rosen 1989   23  0.3270  0.0025  0.1224  0.5246  0.0532  0.16
Rosenthal 1930   34  0.2644  0.0039  0.0637  0.3038  0.2728  0.28
Rosenthal 1931   63  0.1767  0.0031  0.1133  0.3632  0.4624  0.41
Rosenthal 1931b   51  0.2013  0.0126  0.1328  0.4224  0.5022  0.46
Rosenthal 1931c   22  0.3212  0.0117  0.1621  0.5516  0.5416  0.54
Rosenthal 1931d   37  0.2541  0.0022  0.1425  0.5114  0.5419  0.52
Rossi 2007   71  0.1551  0.0071  0.0371  0.0350  0.0559  0.04
Rubinstein 1939   24  0.3260  0.0027  0.1126  0.4841  0.1229  0.24
Rubinstein 1952   11  0.418  0.027  0.165  0.757  0.639  0.69
Rubinstein 1966   19  0.3353  0.0018  0.1117  0.6134  0.1627  0.31
Schilhawsky 1960   61  0.1832  0.0073  0.0375  0.0376  0.0469  0.03
Shebanova 2002   83  0.0924  0.0087  0.0288  0.0286  0.0387  0.02
Smith 1975   2  0.504  0.083  0.272  0.815  0.802  0.80
Sokolov 2002   13  0.4027  0.0013  0.1512  0.699  0.5611  0.62
Sztompka 1959   67  0.1682  0.0074  0.0279  0.0279  0.0385  0.02
Tomsic 1995   17  0.3416  0.0014  0.1716  0.6511  0.4715  0.55
Uninsky 1932   59  0.1887  0.0066  0.0459  0.0484  0.0372  0.03
Uninsky 1971   12  0.4020  0.0016  0.1815  0.6616  0.4217  0.53
Wasowski 1980   27  0.3188  0.0036  0.0835  0.3357  0.0634  0.14
Zak 1937   81  0.1089  0.0076  0.0278  0.0278  0.0382  0.02
Zak 1951   73  0.1471  0.0068  0.0457  0.0473  0.0366  0.03
Random 1   90  -0.0368  0.0090  0.0190  0.0167  0.0389  0.02
Random 2   86  0.0490  0.0070  0.0374  0.0316  0.4240  0.11
Random 3   88  0.0142  0.0088  0.0189  0.0114  0.4347  0.07

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).