Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4386  0.0066  0.0557  0.0577  0.0368  0.04
Anderszewski 2003   64  0.3850  0.0040  0.0544  0.1370  0.0351  0.06
Ashkenazy 1981   25  0.4946  0.0024  0.0811  0.4248  0.0536  0.14
Bacha 2000   78  0.2982  0.0077  0.0384  0.0372  0.0375  0.03
Badura 1965   54  0.4115  0.0144  0.0936  0.1962  0.0445  0.09
Barbosa 1983   53  0.4151  0.0031  0.0739  0.1938  0.2424  0.21
Biret 1990   14  0.5223  0.0110  0.105  0.5222  0.444  0.48
Blet 2003   17  0.507  0.049  0.1213  0.4031  0.2813  0.33
Block 1995   56  0.4087  0.0050  0.0559  0.0566  0.0369  0.04
Blumental 1952   79  0.2859  0.0080  0.0386  0.0381  0.0381  0.03
Boshniakovich 1969   27  0.4847  0.0043  0.0737  0.1947  0.0539  0.10
Brailowsky 1960   71  0.3370  0.0081  0.0383  0.0374  0.0477  0.03
Bunin 1987   48  0.4142  0.0060  0.0651  0.0657  0.0553  0.05
Bunin 1987b   47  0.4265  0.0059  0.0470  0.0458  0.0561  0.04
Chiu 1999   34  0.465  0.055  0.1314  0.4027  0.396  0.39
Cohen 1997   76  0.3045  0.0055  0.0378  0.0344  0.1152  0.06
Cortot 1951   36  0.4529  0.0037  0.0630  0.2535  0.2322  0.24
Csalog 1996   13  0.523  0.066  0.1010  0.4412  0.533  0.48
Czerny 1949   38  0.4468  0.0041  0.0541  0.1559  0.0544  0.09
Czerny 1990   2  0.5911  0.0311  0.088  0.4539  0.1616  0.27
Duchoud 2007   6  0.5727  0.007  0.094  0.5419  0.442  0.49
Ezaki 2006   65  0.3671  0.0073  0.0552  0.0575  0.0357  0.04
Falvay 1989   29  0.4812  0.0229  0.0620  0.3341  0.1030  0.18
Farrell 1958   24  0.5013  0.0226  0.0722  0.339  0.477  0.39
Ferenczy 1958   75  0.3083  0.0084  0.0556  0.0578  0.0367  0.04
Fliere 1977   12  0.5372  0.0023  0.0825  0.3040  0.1227  0.19
Fou 1978   68  0.3639  0.0070  0.0465  0.0459  0.0560  0.04
Francois 1956   43  0.4279  0.0065  0.0381  0.0359  0.0485  0.03
Friedman 1923   85  0.1928  0.0075  0.0469  0.0449  0.0656  0.05
Friedman 1923b   84  0.2031  0.0074  0.0475  0.0466  0.0572  0.04
Friedman 1930   74  0.3116  0.0152  0.0468  0.0440  0.1748  0.08
Garcia 2007   83  0.2138  0.0079  0.0474  0.0469  0.0379  0.03
Garcia 2007b   81  0.2562  0.0082  0.0473  0.0458  0.0474  0.04
Gierzod 1998   77  0.2973  0.0078  0.0382  0.0387  0.0287  0.02
Gornostaeva 1994   37  0.4469  0.0054  0.0464  0.0475  0.0383  0.03
Groot 1988   8  0.5525  0.0022  0.0721  0.3343  0.1325  0.21
Harasiewicz 1955   67  0.3658  0.0048  0.0747  0.0783  0.0354  0.05
Hatto 1993   62  0.3855  0.0028  0.0632  0.2321  0.3217  0.27
Hatto 1997   63  0.3852  0.0046  0.0748  0.0727  0.2735  0.14
Horowitz 1949   4  0.588  0.0412  0.107  0.4724  0.319  0.38
Indjic 1988   58  0.4041  0.0027  0.0829  0.2522  0.3314  0.29
Kapell 1951   7  0.5621  0.0116  0.0812  0.4237  0.2712  0.34
Kissin 1993   45  0.4266  0.0063  0.0560  0.0560  0.0464  0.04
Kushner 1989   15  0.5274  0.0036  0.0627  0.2973  0.0342  0.09
Luisada 1991   20  0.504  0.0517  0.076  0.5030  0.298  0.38
Lushtak 2004   55  0.4080  0.0030  0.0540  0.1767  0.0449  0.08
Malcuzynski 1961   28  0.4836  0.0051  0.0466  0.0461  0.0462  0.04
Magaloff 1978   35  0.4549  0.0056  0.0380  0.0361  0.0378  0.03
Magin 1975   33  0.4617  0.0145  0.0842  0.1536  0.1931  0.17
Michalowski 1933   44  0.4256  0.0035  0.0533  0.2334  0.2719  0.25
Milkina 1970   31  0.4734  0.0038  0.0628  0.2867  0.0437  0.11
Mohovich 1999   70  0.3477  0.0076  0.0467  0.0484  0.0382  0.03
Moravec 1969   10  0.5414  0.0213  0.0819  0.3432  0.1818  0.25
Morozova 2008   22  0.5037  0.0015  0.1517  0.3571  0.0338  0.10
Neighaus 1950   30  0.4833  0.0021  0.0826  0.3039  0.1526  0.21
Niedzielski 1931   21  0.5020  0.0134  0.0624  0.314  0.525  0.40
Ohlsson 1999   5  0.579  0.034  0.113  0.5526  0.2510  0.37
Osinska 1989   9  0.552  0.103  0.1216  0.3732  0.2015  0.27
Pachmann 1927   72  0.3232  0.0058  0.0376  0.0335  0.2147  0.08
Paderewski 1930   40  0.4335  0.0064  0.0650  0.0669  0.0363  0.04
Perlemuter 1992   57  0.4053  0.0057  0.0379  0.0364  0.0476  0.03
Pierdomenico 2008   49  0.4144  0.0049  0.0649  0.0641  0.1541  0.09
Poblocka 1999   16  0.5157  0.0025  0.0915  0.3845  0.1028  0.19
Rabcewiczowa 1932   59  0.3981  0.0071  0.0463  0.0455  0.0559  0.04
Rachmaninoff 1923   19  0.5022  0.0114  0.1123  0.3335  0.1821  0.24
Rangell 2001   60  0.3948  0.0061  0.0471  0.0457  0.0473  0.04
Richter 1976   3  0.586  0.052  0.122  0.643  0.511  0.57
Rosen 1989   52  0.4161  0.0067  0.0462  0.0458  0.0470  0.04
Rosenthal 1930   73  0.3175  0.0083  0.0472  0.0478  0.0380  0.03
Rosenthal 1931   87  0.0988  0.0089  0.0287  0.0289  0.0190  0.01
Rosenthal 1931b   88  0.0889  0.0088  0.0189  0.0189  0.0191  0.01
Rosenthal 1931c   80  0.2776  0.0085  0.0555  0.0583  0.0284  0.03
Rosenthal 1931d   86  0.1490  0.0086  0.0385  0.0389  0.0289  0.02
Rossi 2007   82  0.2430  0.0053  0.0377  0.0332  0.2046  0.08
Rubinstein 1939   69  0.3518  0.0139  0.0543  0.1425  0.3523  0.22
Rubinstein 1952   42  0.4243  0.0069  0.0554  0.0559  0.0655  0.05
Rubinstein 1966   50  0.4160  0.0068  0.0461  0.0468  0.0466  0.04
Schilhawsky 1960   32  0.4664  0.0032  0.0731  0.2545  0.1529  0.19
Shebanova 2002   11  0.5310  0.038  0.129  0.4534  0.2711  0.35
Smith 1975   61  0.3967  0.0062  0.0558  0.0564  0.0458  0.04
Sokolov 2002   23  0.5040  0.0042  0.0638  0.1962  0.0440  0.09
Sztompka 1959   18  0.5026  0.0020  0.0634  0.2145  0.1134  0.15
Tomsic 1995   39  0.4419  0.0118  0.0735  0.2045  0.1233  0.15
Uninsky 1932   26  0.4924  0.0119  0.0618  0.3434  0.1920  0.25
Uninsky 1971   66  0.3684  0.0072  0.0553  0.0570  0.0365  0.04
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   46  0.4263  0.0033  0.0645  0.1246  0.0743  0.09
Zak 1951   51  0.4154  0.0047  0.0946  0.0958  0.0550  0.07
Average   1  0.641  0.291  0.291  0.6861  0.0432  0.16
Random 1   91  -0.0685  0.0091  0.0191  0.0180  0.0388  0.02
Random 2   90  -0.0291  0.0090  0.0190  0.0170  0.0386  0.02
Random 3   89  0.0778  0.0087  0.0288  0.0244  0.1071  0.04

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).