Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5961  0.0040  0.0735  0.2643  0.1343  0.18
Anderszewski 2003   10  0.6312  0.0118  0.1113  0.5117  0.499  0.50
Ashkenazy 1981   68  0.5084  0.0069  0.0567  0.0555  0.0675  0.05
Bacha 2000   77  0.4281  0.0078  0.0382  0.0371  0.0484  0.03
Badura 1965   55  0.5462  0.0056  0.0658  0.0644  0.1758  0.10
Barbosa 1983   35  0.584  0.0513  0.1028  0.3910  0.5812  0.48
Biret 1990   25  0.6038  0.0014  0.1019  0.4525  0.3519  0.40
Blet 2003   56  0.5234  0.0058  0.0561  0.0524  0.3053  0.12
Block 1995   39  0.5710  0.0123  0.0727  0.3912  0.5115  0.45
Blumental 1952   33  0.589  0.0122  0.0729  0.3233  0.2135  0.26
Boshniakovich 1969   15  0.6222  0.0015  0.0911  0.5331  0.4113  0.47
Brailowsky 1960   61  0.5166  0.0068  0.0469  0.0429  0.3650  0.12
Bunin 1987   75  0.4544  0.0077  0.0474  0.0438  0.2160  0.09
Bunin 1987b   76  0.4454  0.0076  0.0387  0.0338  0.2362  0.08
Chiu 1999   46  0.5655  0.0036  0.0643  0.1811  0.4032  0.27
Cohen 1997   84  0.3645  0.0082  0.0564  0.0560  0.0481  0.04
Cortot 1951   58  0.5232  0.0063  0.0480  0.0418  0.4949  0.14
Csalog 1996   80  0.4267  0.0064  0.0478  0.0460  0.0579  0.04
Czerny 1949   24  0.6035  0.0033  0.0733  0.2941  0.2334  0.26
Czerny 1990   9  0.6426  0.0020  0.1022  0.4337  0.2231  0.31
Duchoud 2007   81  0.3833  0.0081  0.0560  0.0563  0.0574  0.05
Ezaki 2006   34  0.5873  0.0055  0.0751  0.0760  0.0469  0.05
Falvay 1989   67  0.5014  0.0175  0.0386  0.0355  0.0676  0.04
Farrell 1958   65  0.5074  0.0065  0.0476  0.0452  0.0671  0.05
Ferenczy 1958   48  0.5675  0.0050  0.0847  0.0812  0.5241  0.20
Fliere 1977   7  0.658  0.015  0.1510  0.5430  0.2522  0.37
Fou 1978   26  0.6031  0.0041  0.0538  0.2247  0.0656  0.11
Francois 1956   70  0.4785  0.0073  0.0472  0.0457  0.0583  0.04
Friedman 1923   52  0.5517  0.0154  0.0654  0.0627  0.4047  0.15
Friedman 1923b   50  0.5546  0.0052  0.0752  0.0728  0.4245  0.17
Friedman 1930   31  0.5916  0.0145  0.1139  0.2215  0.5227  0.34
Garcia 2007   38  0.5748  0.0043  0.0740  0.2017  0.4930  0.31
Garcia 2007b   18  0.6213  0.0111  0.1012  0.538  0.565  0.54
Gierzod 1998   3  0.6740  0.004  0.134  0.6129  0.4110  0.50
Gornostaeva 1994   16  0.6224  0.0016  0.099  0.5610  0.573  0.56
Groot 1988   59  0.5137  0.0039  0.0542  0.1831  0.2142  0.19
Harasiewicz 1955   5  0.665  0.048  0.117  0.5829  0.4111  0.49
Hatto 1993   23  0.6049  0.0032  0.1126  0.4043  0.1736  0.26
Hatto 1997   17  0.6225  0.0021  0.1116  0.4930  0.2328  0.34
Horowitz 1949   54  0.5482  0.0059  0.0659  0.0617  0.4944  0.17
Indjic 1988   21  0.6157  0.0026  0.0820  0.4538  0.2229  0.31
Kapell 1951   8  0.647  0.026  0.155  0.6114  0.438  0.51
Kissin 1993   12  0.6320  0.0017  0.0914  0.5140  0.3020  0.39
Kushner 1989   20  0.6252  0.0025  0.0718  0.4533  0.3123  0.37
Luisada 1991   6  0.6658  0.0012  0.1115  0.507  0.566  0.53
Lushtak 2004   44  0.5723  0.0038  0.0645  0.1140  0.1848  0.14
Malcuzynski 1961   51  0.553  0.087  0.1530  0.3117  0.4325  0.37
Magaloff 1978   60  0.5129  0.0060  0.0656  0.0644  0.1061  0.08
Magin 1975   32  0.5960  0.0044  0.0936  0.2450  0.0555  0.11
Michalowski 1933   79  0.4259  0.0079  0.0562  0.0559  0.0572  0.05
Milkina 1970   19  0.6211  0.0119  0.1121  0.4337  0.3124  0.37
Mohovich 1999   49  0.5668  0.0046  0.0749  0.0743  0.1459  0.10
Moravec 1969   66  0.5036  0.0062  0.0566  0.0533  0.2454  0.11
Morozova 2008   36  0.5764  0.0051  0.0846  0.0848  0.0664  0.07
Neighaus 1950   37  0.5765  0.0029  0.0732  0.3021  0.4026  0.35
Niedzielski 1931   53  0.5451  0.0037  0.0641  0.1824  0.3637  0.25
Ohlsson 1999   45  0.5643  0.0034  0.0831  0.3039  0.1440  0.20
Osinska 1989   2  0.696  0.033  0.252  0.6819  0.531  0.60
Pachmann 1927   82  0.3770  0.0084  0.0479  0.0469  0.0386  0.03
Paderewski 1930   71  0.4786  0.0061  0.0565  0.0517  0.4646  0.15
Perlemuter 1992   13  0.6328  0.0031  0.0924  0.434  0.617  0.51
Pierdomenico 2008   78  0.4279  0.0074  0.0388  0.0358  0.0577  0.04
Poblocka 1999   27  0.5927  0.0024  0.0717  0.4727  0.4216  0.44
Rabcewiczowa 1932   47  0.5619  0.0028  0.0737  0.2325  0.2933  0.26
Rachmaninoff 1923   57  0.5253  0.0057  0.0563  0.0561  0.0570  0.05
Rangell 2001   62  0.5039  0.0035  0.0644  0.1311  0.5039  0.25
Richter 1976   63  0.5076  0.0067  0.0481  0.0438  0.3057  0.11
Rosen 1989   29  0.5941  0.0030  0.0723  0.4326  0.3321  0.38
Rosenthal 1930   83  0.3671  0.0083  0.0470  0.0450  0.0480  0.04
Rosenthal 1931   85  0.3150  0.0086  0.0473  0.0471  0.0387  0.03
Rosenthal 1931b   87  0.2889  0.0087  0.0384  0.0384  0.0289  0.02
Rosenthal 1931c   86  0.3190  0.0085  0.0383  0.0387  0.0290  0.02
Rosenthal 1931d   88  0.2669  0.0088  0.0385  0.0386  0.0288  0.02
Rossi 2007   69  0.4977  0.0066  0.0471  0.0422  0.3651  0.12
Rubinstein 1939   64  0.5083  0.0070  0.0568  0.0571  0.0478  0.04
Rubinstein 1952   73  0.4656  0.0071  0.0477  0.0454  0.0582  0.04
Rubinstein 1966   42  0.5742  0.0053  0.0657  0.0661  0.0573  0.05
Schilhawsky 1960   28  0.5921  0.0042  0.0634  0.2636  0.2438  0.25
Shebanova 2002   11  0.6315  0.0110  0.096  0.5830  0.3017  0.42
Smith 1975   40  0.5772  0.0048  0.0750  0.0736  0.2152  0.12
Sokolov 2002   74  0.4680  0.0072  0.0475  0.0470  0.0385  0.03
Sztompka 1959   4  0.672  0.102  0.273  0.6517  0.542  0.59
Tomsic 1995   72  0.4618  0.0180  0.0655  0.0652  0.0767  0.06
Uninsky 1932   22  0.6091  0.0027  0.0725  0.4218  0.4814  0.45
Uninsky 1971   14  0.6230  0.009  0.128  0.5618  0.534  0.54
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   41  0.5787  0.0049  0.0653  0.0653  0.0765  0.06
Zak 1951   43  0.5788  0.0047  0.0748  0.0757  0.0666  0.06
Average   1  0.761  0.491  0.481  0.8342  0.2018  0.41
Random 1   90  -0.0847  0.0090  0.0290  0.0234  0.1668  0.06
Random 2   91  -0.1563  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   89  -0.0578  0.0089  0.0289  0.029  0.3663  0.08

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).