Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.4883  0.0064  0.0550  0.0552  0.0479  0.04
Anderszewski 2003   7  0.737  0.0411  0.1310  0.486  0.559  0.51
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   43  0.5964  0.0067  0.0361  0.0315  0.4049  0.11
Badura 1965   62  0.5368  0.0044  0.0544  0.1120  0.3741  0.20
Barbosa 1983   80  0.4080  0.0066  0.0377  0.0346  0.0676  0.04
Biret 1990   21  0.6861  0.0020  0.0714  0.398  0.4516  0.42
Blet 2003   33  0.6236  0.0036  0.0633  0.2127  0.2337  0.22
Block 1995   72  0.4850  0.0076  0.0458  0.0435  0.1858  0.08
Blumental 1952   45  0.5862  0.0039  0.0438  0.147  0.4034  0.24
Boshniakovich 1969   42  0.5971  0.0056  0.0367  0.0340  0.1468  0.06
Brailowsky 1960   52  0.5675  0.0075  0.0371  0.0366  0.0485  0.03
Bunin 1987   35  0.6255  0.0052  0.0455  0.0439  0.1559  0.08
Bunin 1987b   32  0.6263  0.0051  0.0454  0.0439  0.1656  0.08
Chiu 1999   61  0.5342  0.0048  0.0546  0.0519  0.3644  0.13
Cohen 1997   69  0.515  0.0457  0.0370  0.039  0.4547  0.12
Cortot 1951   31  0.6439  0.0015  0.0728  0.2714  0.4423  0.34
Csalog 1996   81  0.4088  0.0078  0.0378  0.0336  0.2357  0.08
Czerny 1949   65  0.5248  0.0063  0.0451  0.0442  0.1067  0.06
Czerny 1990   26  0.6529  0.0022  0.0716  0.3820  0.2924  0.33
Duchoud 2007   8  0.7212  0.026  0.106  0.514  0.5210  0.51
Ezaki 2006   13  0.7081  0.0026  0.0723  0.3332  0.1833  0.24
Falvay 1989   44  0.5833  0.0033  0.0539  0.1341  0.1246  0.12
Farrell 1958   46  0.5838  0.0074  0.0382  0.0374  0.0387  0.03
Ferenczy 1958   55  0.5531  0.0038  0.0536  0.1621  0.3831  0.25
Fliere 1977   14  0.7074  0.0030  0.1126  0.3027  0.2329  0.26
Fou 1978   50  0.5719  0.0132  0.0841  0.1248  0.0754  0.09
Francois 1956   75  0.4565  0.0062  0.0453  0.0450  0.0584  0.04
Friedman 1923   87  0.2684  0.0086  0.0289  0.0237  0.2071  0.06
Friedman 1923b   86  0.2678  0.0085  0.0287  0.0236  0.2069  0.06
Friedman 1930   76  0.4526  0.0068  0.0457  0.0426  0.3351  0.11
Garcia 2007   71  0.4869  0.0043  0.0443  0.116  0.4836  0.23
Garcia 2007b   84  0.3356  0.0088  0.0380  0.0317  0.2461  0.08
Gierzod 1998   3  0.782  0.152  0.162  0.591  0.604  0.59
Gornostaeva 1994   57  0.5437  0.0073  0.0452  0.0463  0.0391  0.03
Groot 1988   68  0.5151  0.0072  0.0456  0.0461  0.0482  0.04
Harasiewicz 1955   53  0.5516  0.0221  0.0722  0.3421  0.3326  0.33
Hatto 1993   18  0.6917  0.029  0.113  0.563  0.673  0.61
Hatto 1997   17  0.7052  0.0010  0.097  0.514  0.586  0.54
Horowitz 1949   54  0.5521  0.0161  0.0369  0.0337  0.1366  0.06
Indjic 1988   19  0.696  0.048  0.094  0.563  0.662  0.61
Kapell 1951   23  0.6627  0.0028  0.0815  0.3918  0.4317  0.41
Kissin 1993   27  0.6411  0.0316  0.0627  0.2816  0.4521  0.35
Kushner 1989   12  0.709  0.035  0.0911  0.462  0.607  0.53
Luisada 1991   9  0.7113  0.0214  0.109  0.491  0.568  0.52
Lushtak 2004   4  0.7443  0.0012  0.138  0.5012  0.4811  0.49
Malcuzynski 1961   20  0.6914  0.0231  0.1125  0.3229  0.2628  0.29
Magaloff 1978   22  0.6710  0.0317  0.0831  0.2531  0.2630  0.25
Magin 1975   16  0.704  0.0418  0.0718  0.371  0.5313  0.44
Michalowski 1933   36  0.6118  0.0113  0.1517  0.383  0.4914  0.43
Milkina 1970   38  0.6149  0.0046  0.0364  0.0341  0.1662  0.07
Mohovich 1999   39  0.6079  0.0060  0.0374  0.0360  0.0490  0.03
Moravec 1969   49  0.5741  0.0025  0.0830  0.2513  0.4622  0.34
Morozova 2008   41  0.5932  0.0045  0.0545  0.1029  0.1745  0.13
Neighaus 1950   15  0.7040  0.0029  0.0919  0.3530  0.3125  0.33
Niedzielski 1931   82  0.3747  0.0065  0.0373  0.0320  0.2753  0.09
Ohlsson 1999   2  0.7915  0.023  0.105  0.544  0.595  0.56
Osinska 1989   47  0.5885  0.0054  0.0368  0.0341  0.1364  0.06
Pachmann 1927   85  0.3272  0.0083  0.0376  0.0371  0.0388  0.03
Paderewski 1930   28  0.6424  0.0142  0.0442  0.1112  0.3938  0.21
Perlemuter 1992   59  0.5354  0.0059  0.0375  0.0350  0.0573  0.04
Pierdomenico 2008   51  0.5666  0.0053  0.0459  0.0422  0.2950  0.11
Poblocka 1999   5  0.733  0.064  0.1013  0.457  0.5112  0.48
Rabcewiczowa 1932   67  0.5176  0.0071  0.0366  0.0350  0.0575  0.04
Rachmaninoff 1923   78  0.4430  0.0050  0.0362  0.0338  0.1465  0.06
Rangell 2001   40  0.5935  0.0055  0.0460  0.0439  0.1560  0.08
Richter 1976   64  0.5222  0.0158  0.0379  0.0344  0.0772  0.05
Rosen 1989   25  0.6553  0.0047  0.0547  0.0517  0.4343  0.15
Rosenthal 1930   48  0.5858  0.0069  0.0363  0.0329  0.2655  0.09
Rosenthal 1931   77  0.4486  0.0081  0.0365  0.0348  0.0577  0.04
Rosenthal 1931b   74  0.4560  0.0079  0.0285  0.0243  0.1083  0.04
Rosenthal 1931c   37  0.6177  0.0070  0.0548  0.0525  0.2848  0.12
Rosenthal 1931d   73  0.4545  0.0080  0.0381  0.0357  0.0581  0.04
Rossi 2007   89  0.1989  0.0084  0.0286  0.0240  0.0974  0.04
Rubinstein 1939   88  0.2482  0.0089  0.0288  0.0260  0.0486  0.03
Rubinstein 1952   79  0.4257  0.0082  0.0372  0.0343  0.1170  0.06
Rubinstein 1966   66  0.5246  0.0077  0.0283  0.0258  0.0589  0.03
Schilhawsky 1960   29  0.6423  0.0123  0.0620  0.3512  0.3919  0.37
Shebanova 2002   6  0.7320  0.0124  0.0821  0.354  0.5415  0.43
Smith 1975   10  0.718  0.047  0.1312  0.458  0.3518  0.40
Sokolov 2002   11  0.7128  0.0027  0.0924  0.3220  0.3920  0.35
Sztompka 1959   30  0.6434  0.0040  0.0437  0.1422  0.3735  0.23
Tomsic 1995   24  0.6573  0.0049  0.0549  0.0541  0.1163  0.07
Uninsky 1932   56  0.5467  0.0041  0.0634  0.1722  0.3832  0.25
Uninsky 1971   34  0.6270  0.0035  0.0529  0.2725  0.3927  0.32
Wasowski 1980   63  0.5244  0.0037  0.0535  0.1721  0.2439  0.20
Zak 1937   58  0.5390  0.0034  0.0740  0.1337  0.1842  0.15
Zak 1951   60  0.5359  0.0019  0.0832  0.2138  0.1940  0.20
Average   1  0.811  0.251  0.251  0.714  0.581  0.64
Random 1   90  0.0287  0.0091  0.0191  0.0140  0.1680  0.04
Random 2   91  -0.0491  0.0090  0.0190  0.0137  0.1578  0.04
Random 3   83  0.3425  0.0187  0.0284  0.022  0.5652  0.11

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).