Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2379  0.0067  0.0567  0.0571  0.0476  0.04
Anderszewski 2003   78  0.1255  0.0076  0.0481  0.0479  0.0380  0.03
Ashkenazy 1981   20  0.4947  0.0025  0.0917  0.5730  0.5026  0.53
Bacha 2000   80  0.0680  0.0080  0.0564  0.0580  0.0278  0.03
Badura 1965   72  0.2249  0.0068  0.0566  0.0543  0.1256  0.08
Barbosa 1983   47  0.3242  0.0042  0.0838  0.2625  0.3938  0.32
Biret 1990   23  0.4835  0.0011  0.109  0.682  0.813  0.74
Blet 2003   17  0.508  0.039  0.1320  0.5512  0.6418  0.59
Block 1995   50  0.3171  0.0061  0.0565  0.0553  0.0569  0.05
Blumental 1952   75  0.1648  0.0075  0.0479  0.0481  0.0381  0.03
Boshniakovich 1969   54  0.3081  0.0050  0.0560  0.0561  0.0670  0.05
Brailowsky 1960   81  0.0482  0.0081  0.0480  0.0482  0.0379  0.03
Bunin 1987   31  0.4250  0.0033  0.1329  0.4618  0.5033  0.48
Bunin 1987b   30  0.4346  0.0032  0.1030  0.4619  0.5032  0.48
Chiu 1999   8  0.547  0.047  0.203  0.758  0.695  0.72
Cohen 1997   57  0.3022  0.0047  0.0749  0.0746  0.1057  0.08
Cortot 1951   71  0.2240  0.0062  0.0572  0.0542  0.1359  0.08
Csalog 1996   13  0.521  0.231  0.2312  0.644  0.7510  0.69
Czerny 1949   67  0.2328  0.0069  0.0847  0.0835  0.4744  0.19
Czerny 1990   19  0.5025  0.0026  0.0928  0.4822  0.6424  0.55
Duchoud 2007   2  0.574  0.096  0.192  0.791  0.821  0.80
Ezaki 2006   77  0.1363  0.0078  0.0568  0.0580  0.0371  0.04
Falvay 1989   46  0.3310  0.0238  0.1037  0.2819  0.3936  0.33
Farrell 1958   29  0.4411  0.0110  0.1119  0.565  0.6317  0.59
Ferenczy 1958   90  -0.1083  0.0090  0.0190  0.0176  0.0384  0.02
Fliere 1977   16  0.5064  0.0024  0.1018  0.5730  0.5025  0.53
Fou 1978   58  0.3038  0.0055  0.0562  0.0565  0.0473  0.04
Francois 1956   52  0.3184  0.0064  0.0657  0.0635  0.3349  0.14
Friedman 1923   14  0.5258  0.0013  0.148  0.6911  0.719  0.70
Friedman 1923b   9  0.5337  0.008  0.127  0.7110  0.748  0.72
Friedman 1930   3  0.573  0.123  0.215  0.728  0.727  0.72
Garcia 2007   69  0.2372  0.0071  0.0750  0.0766  0.0560  0.06
Garcia 2007b   36  0.3952  0.0046  0.0848  0.0828  0.4145  0.18
Gierzod 1998   89  -0.1073  0.0085  0.0284  0.0288  0.0286  0.02
Gornostaeva 1994   62  0.2774  0.0056  0.0569  0.0547  0.0862  0.06
Groot 1988   5  0.5512  0.0118  0.1210  0.6610  0.5913  0.62
Harasiewicz 1955   37  0.3961  0.0039  0.0941  0.2355  0.0652  0.12
Hatto 1993   25  0.4818  0.0117  0.0924  0.5417  0.5327  0.53
Hatto 1997   34  0.4143  0.0031  0.0934  0.4115  0.4535  0.43
Horowitz 1949   10  0.5314  0.0123  0.1125  0.5410  0.7112  0.62
Indjic 1988   22  0.4920  0.0016  0.0821  0.5518  0.5821  0.56
Kapell 1951   12  0.5216  0.0119  0.1314  0.619  0.5916  0.60
Kissin 1993   33  0.4265  0.0030  0.1231  0.4521  0.5829  0.51
Kushner 1989   45  0.3356  0.0057  0.0573  0.0561  0.0565  0.05
Luisada 1991   18  0.5013  0.0121  0.1911  0.6611  0.6611  0.66
Lushtak 2004   73  0.1944  0.0073  0.0559  0.0568  0.0568  0.05
Malcuzynski 1961   59  0.3039  0.0063  0.0561  0.0569  0.0474  0.04
Magaloff 1978   41  0.3566  0.0051  0.0653  0.0653  0.0563  0.05
Magin 1975   27  0.469  0.0215  0.0927  0.5116  0.6619  0.58
Michalowski 1933   24  0.4859  0.0029  0.1626  0.5212  0.5328  0.52
Milkina 1970   64  0.2585  0.0049  0.0651  0.0629  0.3747  0.15
Mohovich 1999   82  0.0467  0.0084  0.0383  0.0386  0.0287  0.02
Moravec 1969   28  0.4641  0.0027  0.1123  0.556  0.6814  0.61
Morozova 2008   55  0.3062  0.0048  0.0656  0.0678  0.0467  0.05
Neighaus 1950   15  0.5034  0.0020  0.1613  0.6111  0.5223  0.56
Niedzielski 1931   32  0.4226  0.0035  0.0839  0.2434  0.2441  0.24
Ohlsson 1999   6  0.556  0.054  0.194  0.731  0.716  0.72
Osinska 1989   39  0.3823  0.0036  0.0932  0.4320  0.5431  0.48
Pachmann 1927   35  0.4051  0.0034  0.1233  0.4225  0.5034  0.46
Paderewski 1930   43  0.3427  0.0044  0.0844  0.1632  0.3642  0.24
Perlemuter 1992   56  0.3075  0.0066  0.0478  0.0478  0.0472  0.04
Pierdomenico 2008   26  0.4633  0.0028  0.1035  0.4010  0.6130  0.49
Poblocka 1999   40  0.3668  0.0041  0.0943  0.1925  0.3839  0.27
Rabcewiczowa 1932   74  0.1786  0.0077  0.0574  0.0559  0.0664  0.05
Rachmaninoff 1923   21  0.4929  0.0014  0.1322  0.5515  0.6715  0.61
Rangell 2001   51  0.3160  0.0054  0.0652  0.0643  0.1058  0.08
Richter 1976   4  0.5524  0.0012  0.106  0.7116  0.764  0.73
Rosen 1989   38  0.3831  0.0040  0.0840  0.2340  0.1743  0.20
Rosenthal 1930   70  0.2376  0.0074  0.0655  0.0682  0.0377  0.04
Rosenthal 1931   88  -0.0969  0.0089  0.0189  0.0189  0.0190  0.01
Rosenthal 1931b   87  -0.0487  0.0086  0.0286  0.0288  0.0289  0.02
Rosenthal 1931c   79  0.1170  0.0079  0.0571  0.0582  0.0283  0.03
Rosenthal 1931d   84  0.0077  0.0082  0.0382  0.0385  0.0288  0.02
Rossi 2007   76  0.1332  0.0072  0.0570  0.0523  0.3151  0.12
Rubinstein 1939   49  0.3219  0.0037  0.0936  0.2814  0.3937  0.33
Rubinstein 1952   42  0.3436  0.0045  0.0945  0.0936  0.1950  0.13
Rubinstein 1966   65  0.2453  0.0070  0.0654  0.0674  0.0466  0.05
Schilhawsky 1960   63  0.2688  0.0053  0.0658  0.0627  0.3748  0.15
Shebanova 2002   7  0.545  0.085  0.1616  0.5828  0.5522  0.56
Smith 1975   61  0.2721  0.0058  0.0575  0.0541  0.1455  0.08
Sokolov 2002   53  0.3130  0.0065  0.0563  0.0541  0.1853  0.09
Sztompka 1959   11  0.5217  0.0122  0.1615  0.5912  0.5820  0.58
Tomsic 1995   44  0.3315  0.0143  0.1042  0.2222  0.3140  0.26
Uninsky 1932   1  0.582  0.172  0.211  0.794  0.732  0.76
Uninsky 1971   66  0.2489  0.0060  0.0577  0.0568  0.0475  0.04
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   48  0.3290  0.0052  0.0846  0.0833  0.2846  0.15
Zak 1951   60  0.2957  0.0059  0.0576  0.0539  0.1754  0.09
Random 1   86  -0.0145  0.0083  0.0285  0.0247  0.0582  0.03
Random 2   85  -0.0178  0.0088  0.0287  0.0271  0.0385  0.02
Random 3   83  0.0354  0.0087  0.0288  0.0229  0.1861  0.06

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).