Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.569  0.0216  0.1116  0.3853  0.0538  0.14
Anderszewski 2003   25  0.5241  0.0033  0.0532  0.1842  0.2029  0.19
Ashkenazy 1981   45  0.4943  0.0055  0.0652  0.0655  0.0665  0.06
Bacha 2000   28  0.5263  0.0050  0.0556  0.0520  0.3540  0.13
Badura 1965   64  0.4326  0.0074  0.0481  0.0450  0.0672  0.05
Barbosa 1983   29  0.5162  0.0026  0.0926  0.2626  0.4320  0.33
Biret 1990   2  0.6017  0.015  0.124  0.4920  0.408  0.44
Blet 2003   46  0.4924  0.0151  0.0647  0.0619  0.3437  0.14
Block 1995   17  0.548  0.026  0.1012  0.4313  0.497  0.46
Blumental 1952   16  0.5434  0.0020  0.0723  0.3144  0.0932  0.17
Boshniakovich 1969   37  0.5157  0.0048  0.0650  0.0669  0.0473  0.05
Brailowsky 1960   5  0.596  0.0312  0.1013  0.439  0.662  0.53
Bunin 1987   62  0.4455  0.0071  0.0649  0.0629  0.3239  0.14
Bunin 1987b   63  0.4347  0.0070  0.0746  0.0730  0.3334  0.15
Chiu 1999   40  0.5044  0.0027  0.1025  0.279  0.4019  0.33
Cohen 1997   81  0.3839  0.0066  0.0465  0.0420  0.3046  0.11
Cortot 1951   65  0.4356  0.0072  0.0561  0.0531  0.3143  0.12
Csalog 1996   49  0.4868  0.0030  0.0543  0.0926  0.3033  0.16
Czerny 1949   66  0.4337  0.0058  0.0473  0.0462  0.0586  0.04
Czerny 1990   35  0.5112  0.0128  0.0727  0.2544  0.1330  0.18
Duchoud 2007   71  0.4282  0.0067  0.0468  0.0423  0.2945  0.11
Ezaki 2006   22  0.5375  0.0037  0.0438  0.1266  0.0463  0.07
Falvay 1989   15  0.5423  0.0122  0.0622  0.3118  0.4713  0.38
Farrell 1958   8  0.5748  0.0011  0.1210  0.4720  0.455  0.46
Ferenczy 1958   55  0.4614  0.0145  0.0559  0.0541  0.1653  0.09
Fliere 1977   3  0.603  0.083  0.142  0.5936  0.2017  0.34
Fou 1978   13  0.5615  0.0115  0.1118  0.3535  0.1924  0.26
Francois 1956   34  0.5149  0.0034  0.0533  0.1817  0.4922  0.30
Friedman 1923   74  0.3973  0.0075  0.0475  0.0447  0.0676  0.05
Friedman 1923b   78  0.3977  0.0076  0.0472  0.0447  0.0674  0.05
Friedman 1930   69  0.4251  0.0073  0.0557  0.0556  0.0571  0.05
Garcia 2007   68  0.4252  0.0068  0.0554  0.0540  0.1950  0.10
Garcia 2007b   51  0.4854  0.0032  0.0537  0.1332  0.2631  0.18
Gierzod 1998   41  0.5066  0.0040  0.0541  0.1156  0.0564  0.07
Gornostaeva 1994   61  0.4458  0.0057  0.0745  0.0732  0.2142  0.12
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   42  0.5083  0.0047  0.0653  0.0657  0.0575  0.05
Hatto 1993   39  0.5184  0.0041  0.0434  0.1554  0.0555  0.09
Hatto 1997   31  0.5179  0.0035  0.0531  0.2044  0.1136  0.15
Horowitz 1949   26  0.5230  0.0044  0.0544  0.0925  0.4527  0.20
Indjic 1988   38  0.5160  0.0042  0.0636  0.1550  0.0652  0.09
Kapell 1951   36  0.5135  0.0038  0.0535  0.1547  0.0748  0.10
Kissin 1993   56  0.4578  0.0061  0.0555  0.0575  0.0482  0.04
Kushner 1989   19  0.5376  0.0025  0.0821  0.3240  0.1326  0.20
Luisada 1991   27  0.5261  0.0043  0.0442  0.1054  0.0657  0.08
Lushtak 2004   12  0.5629  0.0010  0.108  0.4718  0.456  0.46
Malcuzynski 1961   67  0.4332  0.0069  0.0466  0.0454  0.0578  0.04
Magaloff 1978   20  0.537  0.0314  0.1117  0.3712  0.4310  0.40
Magin 1975   33  0.5121  0.0118  0.1119  0.3436  0.2323  0.28
Michalowski 1933   86  0.3133  0.0086  0.0480  0.0461  0.0481  0.04
Milkina 1970   4  0.5931  0.007  0.097  0.4832  0.3311  0.40
Mohovich 1999   1  0.641  0.381  0.381  0.615  0.661  0.63
Moravec 1969   73  0.4050  0.0083  0.0384  0.0354  0.0577  0.04
Morozova 2008   48  0.4819  0.0146  0.0563  0.0548  0.0670  0.05
Neighaus 1950   43  0.5038  0.0052  0.0558  0.0542  0.1262  0.08
Niedzielski 1931   70  0.4227  0.0063  0.0560  0.0558  0.0568  0.05
Ohlsson 1999   53  0.4713  0.0136  0.0540  0.1237  0.1935  0.15
Osinska 1989   10  0.5618  0.018  0.099  0.4734  0.2418  0.34
Pachmann 1927   87  0.3188  0.0087  0.0479  0.0462  0.0480  0.04
Paderewski 1930   83  0.3769  0.0078  0.0386  0.0376  0.0388  0.03
Perlemuter 1992   44  0.4942  0.0056  0.0648  0.0639  0.1747  0.10
Pierdomenico 2008   60  0.4580  0.0021  0.0828  0.2510  0.4914  0.35
Poblocka 1999   52  0.4770  0.0039  0.0539  0.1249  0.0658  0.08
Rabcewiczowa 1932   54  0.4664  0.0053  0.0562  0.0541  0.1259  0.08
Rachmaninoff 1923   7  0.572  0.102  0.1211  0.4616  0.399  0.42
Rangell 2001   82  0.3867  0.0062  0.0470  0.0442  0.1861  0.08
Richter 1976   72  0.4136  0.0065  0.0471  0.0457  0.0579  0.04
Rosen 1989   23  0.5320  0.0117  0.1014  0.3927  0.3116  0.35
Rosenthal 1930   75  0.3946  0.0077  0.0467  0.0434  0.2551  0.10
Rosenthal 1931   84  0.3771  0.0082  0.0483  0.0435  0.2349  0.10
Rosenthal 1931b   76  0.3985  0.0080  0.0387  0.0328  0.2856  0.09
Rosenthal 1931c   85  0.3574  0.0085  0.0474  0.0444  0.1066  0.06
Rosenthal 1931d   80  0.3945  0.0081  0.0385  0.0331  0.3054  0.09
Rossi 2007   79  0.3986  0.0079  0.0482  0.0450  0.0667  0.05
Rubinstein 1939   47  0.4859  0.0054  0.0564  0.0536  0.2444  0.11
Rubinstein 1952   14  0.554  0.0713  0.126  0.4814  0.494  0.48
Rubinstein 1966   6  0.595  0.044  0.163  0.5414  0.523  0.53
Schilhawsky 1960   57  0.4553  0.0059  0.0476  0.0466  0.0484  0.04
Shebanova 2002   9  0.5710  0.029  0.115  0.4826  0.3212  0.39
Smith 1975   21  0.5325  0.0124  0.0824  0.3019  0.3421  0.32
Sokolov 2002   58  0.4540  0.0064  0.0469  0.0473  0.0387  0.03
Sztompka 1959   50  0.4816  0.0149  0.0651  0.0666  0.0569  0.05
Tomsic 1995   18  0.5422  0.0129  0.0729  0.2315  0.5215  0.35
Uninsky 1932   77  0.3972  0.0084  0.0478  0.0473  0.0485  0.04
Uninsky 1971   59  0.4565  0.0060  0.0477  0.0460  0.0583  0.04
Wasowski 1980   32  0.5111  0.0231  0.0530  0.2141  0.1828  0.19
Zak 1937   30  0.5187  0.0023  0.0720  0.3368  0.0541  0.13
Zak 1951   24  0.5328  0.0019  0.1015  0.3840  0.1325  0.22
Random 1   90  -0.1489  0.0089  0.0189  0.0177  0.0290  0.01
Random 2   89  -0.1090  0.0090  0.0190  0.0186  0.0289  0.01
Random 3   88  -0.0181  0.0088  0.0288  0.0212  0.3360  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).