Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.4882  0.0063  0.0549  0.0551  0.0479  0.04
Anderszewski 2003   6  0.7311  0.0410  0.139  0.486  0.558  0.51
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   42  0.5968  0.0066  0.0460  0.0415  0.4043  0.13
Badura 1965   61  0.5369  0.0043  0.0543  0.1119  0.3740  0.20
Barbosa 1983   79  0.4079  0.0065  0.0376  0.0345  0.0675  0.04
Biret 1990   20  0.6860  0.0019  0.0713  0.397  0.4515  0.42
Blet 2003   32  0.6232  0.0035  0.0632  0.2126  0.2336  0.22
Block 1995   71  0.4854  0.0075  0.0457  0.0434  0.1857  0.08
Blumental 1952   44  0.5862  0.0038  0.0437  0.147  0.4033  0.24
Boshniakovich 1969   41  0.5959  0.0055  0.0366  0.0339  0.1467  0.06
Brailowsky 1960   51  0.5675  0.0074  0.0370  0.0365  0.0485  0.03
Bunin 1987   34  0.6256  0.0051  0.0454  0.0438  0.1558  0.08
Bunin 1987b   31  0.6263  0.0050  0.0453  0.0438  0.1655  0.08
Chiu 1999   60  0.5343  0.0047  0.0545  0.0518  0.3644  0.13
Cohen 1997   68  0.5110  0.0456  0.0369  0.039  0.4547  0.12
Cortot 1951   30  0.6422  0.0114  0.0727  0.2713  0.4422  0.34
Csalog 1996   80  0.4088  0.0077  0.0377  0.0335  0.2356  0.08
Czerny 1949   64  0.5247  0.0062  0.0450  0.0441  0.1066  0.06
Czerny 1990   25  0.6530  0.0021  0.0715  0.3819  0.2923  0.33
Duchoud 2007   7  0.726  0.055  0.105  0.513  0.529  0.51
Ezaki 2006   12  0.7080  0.0025  0.0722  0.3331  0.1832  0.24
Falvay 1989   43  0.5829  0.0032  0.0538  0.1340  0.1246  0.12
Farrell 1958   45  0.5840  0.0073  0.0381  0.0373  0.0387  0.03
Ferenczy 1958   54  0.5533  0.0037  0.0535  0.1620  0.3830  0.25
Fliere 1977   13  0.7074  0.0029  0.1125  0.3026  0.2328  0.26
Fou 1978   49  0.5718  0.0131  0.0840  0.1247  0.0753  0.09
Francois 1956   74  0.4566  0.0061  0.0452  0.0449  0.0584  0.04
Friedman 1923   86  0.2683  0.0085  0.0288  0.0236  0.2070  0.06
Friedman 1923b   85  0.2678  0.0084  0.0286  0.0235  0.2068  0.06
Friedman 1930   75  0.4526  0.0067  0.0456  0.0425  0.3350  0.11
Garcia 2007   70  0.4870  0.0042  0.0542  0.116  0.4835  0.23
Garcia 2007b   83  0.3351  0.0087  0.0379  0.0317  0.2460  0.08
Gierzod 1998   2  0.781  0.171  0.161  0.591  0.603  0.59
Gornostaeva 1994   56  0.5434  0.0072  0.0451  0.0462  0.0390  0.03
Groot 1988   67  0.5148  0.0071  0.0455  0.0460  0.0482  0.04
Harasiewicz 1955   52  0.5515  0.0220  0.0721  0.3420  0.3325  0.33
Hatto 1993   17  0.6916  0.028  0.112  0.563  0.672  0.61
Hatto 1997   16  0.7044  0.009  0.096  0.513  0.585  0.54
Horowitz 1949   53  0.5520  0.0160  0.0368  0.0336  0.1365  0.06
Indjic 1988   18  0.695  0.057  0.093  0.563  0.661  0.61
Kapell 1951   22  0.6628  0.0027  0.0814  0.3917  0.4316  0.41
Kissin 1993   26  0.6413  0.0315  0.0626  0.2815  0.4520  0.35
Kushner 1989   11  0.704  0.064  0.0910  0.461  0.606  0.53
Luisada 1991   8  0.719  0.0413  0.108  0.491  0.567  0.52
Lushtak 2004   3  0.7441  0.0011  0.137  0.5011  0.4810  0.49
Malcuzynski 1961   19  0.6914  0.0230  0.1124  0.3228  0.2627  0.29
Magaloff 1978   21  0.6712  0.0316  0.0830  0.2530  0.2629  0.25
Magin 1975   15  0.708  0.0517  0.0717  0.371  0.5312  0.44
Michalowski 1933   35  0.6117  0.0112  0.1516  0.383  0.4913  0.43
Milkina 1970   37  0.6152  0.0045  0.0363  0.0340  0.1662  0.07
Mohovich 1999   38  0.6065  0.0059  0.0373  0.0359  0.0489  0.03
Moravec 1969   48  0.5742  0.0024  0.0829  0.2512  0.4621  0.34
Morozova 2008   40  0.5935  0.0044  0.0544  0.1028  0.1745  0.13
Neighaus 1950   14  0.7037  0.0028  0.0918  0.3529  0.3124  0.33
Niedzielski 1931   81  0.3750  0.0064  0.0372  0.0319  0.2752  0.09
Ohlsson 1999   1  0.793  0.092  0.104  0.543  0.594  0.56
Osinska 1989   46  0.5884  0.0053  0.0367  0.0340  0.1364  0.06
Pachmann 1927   84  0.3272  0.0082  0.0375  0.0370  0.0388  0.03
Paderewski 1930   27  0.6424  0.0141  0.0441  0.1111  0.3937  0.21
Perlemuter 1992   58  0.5357  0.0058  0.0374  0.0349  0.0572  0.04
Pierdomenico 2008   50  0.5667  0.0052  0.0458  0.0421  0.2949  0.11
Poblocka 1999   4  0.732  0.093  0.1012  0.456  0.5111  0.48
Rabcewiczowa 1932   66  0.5176  0.0070  0.0365  0.0349  0.0574  0.04
Rachmaninoff 1923   77  0.4431  0.0049  0.0461  0.0437  0.1461  0.07
Rangell 2001   39  0.5939  0.0054  0.0459  0.0438  0.1559  0.08
Richter 1976   63  0.5223  0.0157  0.0378  0.0343  0.0771  0.05
Rosen 1989   24  0.6555  0.0046  0.0546  0.0516  0.4342  0.15
Rosenthal 1930   47  0.5858  0.0068  0.0362  0.0328  0.2654  0.09
Rosenthal 1931   76  0.4485  0.0080  0.0364  0.0347  0.0676  0.04
Rosenthal 1931b   73  0.4561  0.0078  0.0284  0.0242  0.1083  0.04
Rosenthal 1931c   36  0.6177  0.0069  0.0547  0.0524  0.2848  0.12
Rosenthal 1931d   72  0.4549  0.0079  0.0380  0.0356  0.0581  0.04
Rossi 2007   88  0.1989  0.0083  0.0285  0.0239  0.0973  0.04
Rubinstein 1939   87  0.2481  0.0088  0.0287  0.0259  0.0486  0.03
Rubinstein 1952   78  0.4253  0.0081  0.0371  0.0342  0.1169  0.06
Rubinstein 1966   65  0.5245  0.0076  0.0382  0.0357  0.0577  0.04
Schilhawsky 1960   28  0.6421  0.0122  0.0619  0.3511  0.3918  0.37
Shebanova 2002   5  0.7319  0.0123  0.0920  0.354  0.5414  0.43
Smith 1975   9  0.717  0.056  0.1311  0.457  0.3517  0.40
Sokolov 2002   10  0.7127  0.0026  0.0923  0.3219  0.3919  0.35
Sztompka 1959   29  0.6438  0.0039  0.0436  0.1421  0.3734  0.23
Tomsic 1995   23  0.6573  0.0048  0.0548  0.0540  0.1163  0.07
Uninsky 1932   55  0.5464  0.0040  0.0633  0.1721  0.3831  0.25
Uninsky 1971   33  0.6271  0.0034  0.0528  0.2724  0.3926  0.32
Wasowski 1980   62  0.5246  0.0036  0.0534  0.1720  0.2438  0.20
Zak 1937   57  0.5386  0.0033  0.0839  0.1336  0.1841  0.15
Zak 1951   59  0.5336  0.0018  0.0831  0.2137  0.1939  0.20
Random 1   89  0.0287  0.0090  0.0190  0.0142  0.1480  0.04
Random 2   90  -0.0490  0.0089  0.0189  0.0136  0.1578  0.04
Random 3   82  0.3425  0.0186  0.0283  0.022  0.5451  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).