Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3270  0.0053  0.0752  0.0754  0.0562  0.06
Anderszewski 2003   42  0.3816  0.0033  0.1432  0.4422  0.5032  0.47
Ashkenazy 1981   19  0.4815  0.0130  0.1328  0.5017  0.5628  0.53
Bacha 2000   77  0.2634  0.0079  0.0560  0.0556  0.0566  0.05
Badura 1965   69  0.3135  0.0059  0.0471  0.0430  0.2252  0.09
Barbosa 1983   21  0.477  0.0221  0.1517  0.688  0.6418  0.66
Biret 1990   49  0.3631  0.0066  0.0474  0.0460  0.0582  0.04
Blet 2003   51  0.3655  0.0063  0.0383  0.0346  0.0678  0.04
Block 1995   46  0.3762  0.0050  0.0846  0.0843  0.1350  0.10
Blumental 1952   24  0.4629  0.0020  0.1615  0.705  0.7510  0.72
Boshniakovich 1969   47  0.3671  0.0049  0.0848  0.0868  0.0565  0.06
Brailowsky 1960   75  0.2953  0.0070  0.0466  0.0454  0.0667  0.05
Bunin 1987   40  0.3968  0.0041  0.0640  0.1819  0.4840  0.29
Bunin 1987b   41  0.3850  0.0044  0.0743  0.1523  0.4242  0.25
Chiu 1999   18  0.488  0.0222  0.1326  0.528  0.5825  0.55
Cohen 1997   81  0.2572  0.0081  0.0384  0.0382  0.0387  0.03
Cortot 1951   85  0.1885  0.0085  0.0288  0.0254  0.0688  0.03
Csalog 1996   58  0.3424  0.0055  0.0849  0.0828  0.2448  0.14
Czerny 1949   25  0.4627  0.0026  0.1430  0.4814  0.7022  0.58
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   60  0.3447  0.0067  0.0563  0.0540  0.1355  0.08
Ezaki 2006   52  0.3543  0.0046  0.0654  0.0653  0.0758  0.06
Falvay 1989   17  0.4964  0.0024  0.1227  0.5215  0.4430  0.48
Farrell 1958   35  0.4023  0.0038  0.0738  0.2313  0.4838  0.33
Ferenczy 1958   86  0.1783  0.0087  0.0386  0.0360  0.0579  0.04
Fliere 1977   8  0.5411  0.018  0.196  0.789  0.669  0.72
Fou 1978   13  0.5221  0.0013  0.1310  0.753  0.747  0.74
Francois 1956   80  0.2578  0.0082  0.0472  0.0467  0.0485  0.04
Friedman 1923   43  0.3730  0.0040  0.0739  0.1919  0.5439  0.32
Friedman 1923b   45  0.3748  0.0037  0.0937  0.2721  0.5335  0.38
Friedman 1930   34  0.4146  0.0035  0.0936  0.2824  0.5036  0.37
Garcia 2007   71  0.3180  0.0069  0.0470  0.0445  0.0964  0.06
Garcia 2007b   36  0.4073  0.0042  0.0642  0.1522  0.4641  0.26
Gierzod 1998   66  0.3365  0.0048  0.0656  0.0659  0.0663  0.06
Gornostaeva 1994   59  0.3461  0.0054  0.0655  0.0641  0.1353  0.09
Groot 1988   23  0.475  0.0210  0.1725  0.5610  0.5426  0.55
Harasiewicz 1955   15  0.5126  0.0012  0.1911  0.755  0.6314  0.69
Hatto 1993   9  0.5312  0.017  0.298  0.775  0.746  0.75
Hatto 1997   27  0.4658  0.0027  0.1622  0.6215  0.5323  0.57
Horowitz 1949   48  0.3669  0.0057  0.0559  0.0534  0.3549  0.13
Indjic 1988   12  0.5225  0.009  0.2212  0.756  0.738  0.74
Kapell 1951   3  0.583  0.044  0.203  0.852  0.793  0.82
Kissin 1993   5  0.569  0.016  0.225  0.823  0.862  0.84
Kushner 1989   11  0.5219  0.0014  0.1313  0.7310  0.6117  0.67
Luisada 1991   32  0.4245  0.0036  0.0935  0.3021  0.3937  0.34
Lushtak 2004   54  0.3544  0.0060  0.0478  0.0465  0.0480  0.04
Malcuzynski 1961   29  0.4556  0.0025  0.1324  0.5622  0.4929  0.52
Magaloff 1978   53  0.3559  0.0039  0.0741  0.1742  0.1447  0.15
Magin 1975   31  0.4251  0.0031  0.1529  0.5013  0.5827  0.54
Michalowski 1933   82  0.2284  0.0080  0.0468  0.0463  0.0577  0.04
Milkina 1970   30  0.4260  0.0032  0.1431  0.4625  0.4931  0.47
Mohovich 1999   73  0.3079  0.0072  0.0565  0.0553  0.0571  0.05
Moravec 1969   14  0.5113  0.0116  0.1320  0.663  0.6816  0.67
Morozova 2008   20  0.4728  0.0018  0.1216  0.686  0.6220  0.65
Neighaus 1950   61  0.3437  0.0058  0.0467  0.0459  0.0584  0.04
Niedzielski 1931   63  0.3449  0.0051  0.0847  0.0826  0.3246  0.16
Ohlsson 1999   39  0.3963  0.0045  0.0645  0.1247  0.0654  0.08
Osinska 1989   56  0.3554  0.0056  0.0657  0.0646  0.0659  0.06
Pachmann 1927   78  0.2666  0.0076  0.0469  0.0448  0.0860  0.06
Paderewski 1930   79  0.2640  0.0075  0.0476  0.0442  0.2151  0.09
Perlemuter 1992   64  0.3377  0.0073  0.0475  0.0458  0.0573  0.04
Pierdomenico 2008   68  0.3281  0.0074  0.0477  0.0450  0.0575  0.04
Poblocka 1999   6  0.554  0.025  0.237  0.782  0.765  0.77
Rabcewiczowa 1932   72  0.3022  0.0071  0.0561  0.0561  0.0568  0.05
Rachmaninoff 1923   28  0.4617  0.0015  0.1318  0.673  0.7312  0.70
Rangell 2001   37  0.3918  0.0043  0.0744  0.1435  0.3643  0.22
Richter 1976   4  0.576  0.023  0.244  0.833  0.824  0.82
Rosen 1989   57  0.3586  0.0061  0.0481  0.0471  0.0481  0.04
Rosenthal 1930   44  0.3741  0.0052  0.0751  0.0715  0.6144  0.21
Rosenthal 1931   83  0.2187  0.0083  0.0564  0.0548  0.0761  0.06
Rosenthal 1931b   87  0.1788  0.0086  0.0385  0.0373  0.0389  0.03
Rosenthal 1931c   76  0.2774  0.0077  0.0562  0.0557  0.0572  0.05
Rosenthal 1931d   84  0.1975  0.0084  0.0558  0.0564  0.0483  0.04
Rossi 2007   88  0.1489  0.0088  0.0387  0.0376  0.0386  0.03
Rubinstein 1939   38  0.3938  0.0028  0.1134  0.4120  0.4533  0.43
Rubinstein 1952   26  0.4633  0.0029  0.1123  0.5914  0.5624  0.57
Rubinstein 1966   16  0.5052  0.0019  0.1314  0.7214  0.5919  0.65
Schilhawsky 1960   55  0.3532  0.0047  0.0750  0.0714  0.4145  0.17
Shebanova 2002   7  0.5510  0.0111  0.169  0.759  0.6811  0.71
Smith 1975   65  0.3376  0.0064  0.0480  0.0444  0.1256  0.07
Sokolov 2002   74  0.2982  0.0065  0.0473  0.0467  0.0474  0.04
Sztompka 1959   2  0.632  0.272  0.522  0.862  0.881  0.87
Tomsic 1995   50  0.3639  0.0062  0.0479  0.0456  0.0670  0.05
Uninsky 1932   22  0.4736  0.0023  0.1419  0.666  0.7015  0.68
Uninsky 1971   33  0.4120  0.0034  0.1633  0.4128  0.3834  0.39
Wasowski 1980   10  0.5314  0.0117  0.1821  0.648  0.6121  0.62
Zak 1937   62  0.3442  0.0068  0.0482  0.0478  0.0476  0.04
Zak 1951   70  0.3157  0.0078  0.0653  0.0669  0.0469  0.05
Average   1  0.651  0.491  0.491  0.9015  0.5413  0.70
Random 1   91  -0.0691  0.0091  0.0191  0.0155  0.0490  0.02
Random 2   89  0.0667  0.0089  0.0289  0.0234  0.2357  0.07
Random 3   90  -0.0390  0.0090  0.0190  0.0146  0.0591  0.02

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).