Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.4217  0.0030  0.0732  0.3126  0.3532  0.33
Anderszewski 2003   71  0.2967  0.0061  0.0567  0.0548  0.0761  0.06
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   18  0.4537  0.0016  0.1122  0.494  0.6916  0.58
Badura 1965   51  0.3819  0.0041  0.0641  0.1914  0.4734  0.30
Barbosa 1983   46  0.3874  0.0060  0.0660  0.0661  0.0659  0.06
Biret 1990   67  0.3154  0.0073  0.0478  0.0469  0.0478  0.04
Blet 2003   22  0.4366  0.0033  0.0829  0.3513  0.5126  0.42
Block 1995   55  0.3663  0.0036  0.0739  0.2255  0.0648  0.11
Blumental 1952   33  0.4151  0.0031  0.0633  0.3135  0.2337  0.27
Boshniakovich 1969   39  0.4034  0.0027  0.1128  0.3740  0.2038  0.27
Brailowsky 1960   82  0.2253  0.0083  0.0475  0.0471  0.0572  0.04
Bunin 1987   31  0.4268  0.0032  0.0730  0.3318  0.4927  0.40
Bunin 1987b   37  0.4058  0.0038  0.0635  0.2725  0.4131  0.33
Chiu 1999   25  0.4324  0.0034  0.0736  0.2536  0.1739  0.21
Cohen 1997   80  0.2560  0.0078  0.0384  0.0376  0.0385  0.03
Cortot 1951   86  0.1883  0.0085  0.0381  0.0384  0.0290  0.02
Csalog 1996   68  0.3182  0.0065  0.0753  0.0754  0.0660  0.06
Czerny 1949   85  0.1985  0.0087  0.0479  0.0485  0.0283  0.03
Czerny 1990   16  0.4827  0.0022  0.1517  0.5628  0.5021  0.53
Duchoud 2007   44  0.3936  0.0043  0.0842  0.1917  0.4535  0.29
Ezaki 2006   66  0.3171  0.0074  0.0476  0.0475  0.0471  0.04
Falvay 1989   27  0.4356  0.0047  0.1046  0.1051  0.0652  0.08
Farrell 1958   79  0.2522  0.0075  0.0387  0.0381  0.0288  0.02
Ferenczy 1958   88  0.1259  0.0088  0.0386  0.0383  0.0382  0.03
Fliere 1977   12  0.5040  0.0018  0.1216  0.6039  0.2428  0.38
Fou 1978   4  0.5418  0.007  0.224  0.726  0.673  0.69
Francois 1956   75  0.2731  0.0076  0.0385  0.0368  0.0487  0.03
Friedman 1923   28  0.4344  0.0021  0.1219  0.548  0.6715  0.60
Friedman 1923b   26  0.4323  0.0020  0.2018  0.567  0.7011  0.63
Friedman 1930   23  0.4311  0.0119  0.1520  0.549  0.6317  0.58
Garcia 2007   74  0.2747  0.0067  0.0572  0.0559  0.0568  0.05
Garcia 2007b   43  0.3912  0.0140  0.0643  0.1824  0.4336  0.28
Gierzod 1998   50  0.3890  0.0044  0.0844  0.1667  0.0550  0.09
Gornostaeva 1994   73  0.2879  0.0081  0.0573  0.0586  0.0377  0.04
Groot 1988   13  0.4929  0.0011  0.1312  0.6413  0.5018  0.57
Harasiewicz 1955   36  0.4030  0.0052  0.0849  0.0860  0.0564  0.06
Hatto 1993   9  0.5114  0.015  0.246  0.699  0.629  0.65
Hatto 1997   38  0.4076  0.0037  0.0738  0.2280  0.0449  0.09
Horowitz 1949   20  0.446  0.0214  0.1121  0.512  0.7114  0.60
Indjic 1988   7  0.517  0.016  0.177  0.6912  0.627  0.65
Kapell 1951   42  0.3933  0.0051  0.0659  0.0649  0.0855  0.07
Kissin 1993   3  0.595  0.033  0.403  0.838  0.801  0.81
Kushner 1989   6  0.5416  0.009  0.215  0.7017  0.5213  0.60
Luisada 1991   8  0.5135  0.0010  0.179  0.656  0.685  0.66
Lushtak 2004   70  0.3057  0.0056  0.0661  0.0645  0.0763  0.06
Malcuzynski 1961   21  0.448  0.0123  0.1226  0.4136  0.2533  0.32
Magaloff 1978   60  0.3586  0.0059  0.0663  0.0686  0.0373  0.04
Magin 1975   11  0.509  0.0112  0.1310  0.6510  0.656  0.65
Michalowski 1933   54  0.3715  0.0128  0.1127  0.392  0.7022  0.52
Milkina 1970   63  0.3472  0.0063  0.0757  0.0768  0.0466  0.05
Mohovich 1999   64  0.3361  0.0058  0.0658  0.0658  0.0569  0.05
Moravec 1969   40  0.4084  0.0042  0.0640  0.2152  0.0645  0.11
Morozova 2008   17  0.4613  0.0117  0.1115  0.6122  0.4819  0.54
Neighaus 1950   30  0.4249  0.0026  0.1223  0.4717  0.4524  0.46
Niedzielski 1931   15  0.483  0.074  0.3213  0.632  0.744  0.68
Ohlsson 1999   19  0.4548  0.0025  0.1424  0.4715  0.4225  0.44
Osinska 1989   77  0.2677  0.0080  0.0480  0.0485  0.0379  0.03
Pachmann 1927   48  0.3855  0.0049  0.0755  0.0721  0.4541  0.18
Paderewski 1930   52  0.3832  0.0039  0.0637  0.238  0.6329  0.38
Perlemuter 1992   41  0.3946  0.0035  0.0734  0.2719  0.4530  0.35
Pierdomenico 2008   59  0.3573  0.0068  0.0570  0.0562  0.0474  0.04
Poblocka 1999   62  0.3478  0.0062  0.0754  0.0764  0.0557  0.06
Rabcewiczowa 1932   84  0.2075  0.0084  0.0569  0.0572  0.0475  0.04
Rachmaninoff 1923   34  0.4110  0.0124  0.1225  0.4516  0.5223  0.48
Rangell 2001   72  0.2864  0.0079  0.0477  0.0488  0.0286  0.03
Richter 1976   5  0.544  0.048  0.188  0.6717  0.6110  0.64
Rosen 1989   61  0.3480  0.0064  0.0566  0.0586  0.0376  0.04
Rosenthal 1930   65  0.3350  0.0070  0.0568  0.0543  0.1851  0.09
Rosenthal 1931   81  0.2387  0.0077  0.0382  0.0349  0.0767  0.05
Rosenthal 1931b   76  0.2643  0.0069  0.0571  0.0529  0.4442  0.15
Rosenthal 1931c   69  0.3062  0.0071  0.0662  0.0661  0.0570  0.05
Rosenthal 1931d   83  0.2252  0.0072  0.0574  0.0541  0.1453  0.08
Rossi 2007   87  0.1581  0.0086  0.0388  0.0372  0.0480  0.03
Rubinstein 1939   58  0.3569  0.0057  0.0752  0.0751  0.0558  0.06
Rubinstein 1952   47  0.3826  0.0053  0.0850  0.0846  0.0954  0.08
Rubinstein 1966   35  0.4039  0.0029  0.0831  0.3264  0.0644  0.14
Schilhawsky 1960   57  0.3570  0.0066  0.0665  0.0651  0.0662  0.06
Shebanova 2002   2  0.602  0.102  0.482  0.854  0.782  0.81
Smith 1975   78  0.2689  0.0082  0.0383  0.0384  0.0381  0.03
Sokolov 2002   45  0.3838  0.0054  0.0851  0.0841  0.1546  0.11
Sztompka 1959   10  0.5020  0.0015  0.1114  0.6213  0.6112  0.61
Tomsic 1995   49  0.3842  0.0048  0.0756  0.0741  0.1847  0.11
Uninsky 1932   14  0.4921  0.0013  0.1011  0.6410  0.678  0.65
Uninsky 1971   56  0.3665  0.0050  0.0948  0.0952  0.0656  0.07
Wasowski 1980   53  0.3741  0.0055  0.0664  0.0656  0.0565  0.05
Zak 1937   24  0.4325  0.0045  0.0845  0.1632  0.2240  0.19
Zak 1951   29  0.4328  0.0046  0.1047  0.1035  0.2043  0.14
Average   1  0.651  0.611  0.611  0.9032  0.3320  0.54
Random 1   89  -0.0245  0.0089  0.0289  0.0253  0.0484  0.03
Random 2   90  -0.0388  0.0090  0.0190  0.0171  0.0389  0.02
Random 3   91  -0.0691  0.0091  0.0191  0.0182  0.0291  0.01

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).