Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.5631  0.0039  0.0841  0.2265  0.0456  0.09
Anderszewski 2003   16  0.5870  0.0024  0.1217  0.4733  0.3425  0.40
Ashkenazy 1981   47  0.5230  0.0056  0.0748  0.0757  0.0563  0.06
Bacha 2000   33  0.5650  0.0033  0.0835  0.325  0.5223  0.41
Badura 1965   72  0.4364  0.0078  0.0479  0.0473  0.0478  0.04
Barbosa 1983   29  0.5736  0.0034  0.0934  0.3324  0.4526  0.39
Biret 1990   8  0.6258  0.0010  0.139  0.5715  0.4614  0.51
Blet 2003   78  0.3790  0.0079  0.0480  0.0480  0.0387  0.03
Block 1995   61  0.4879  0.0048  0.0657  0.0630  0.2250  0.11
Blumental 1952   24  0.5785  0.0036  0.0933  0.3348  0.0641  0.14
Boshniakovich 1969   56  0.4851  0.0058  0.0747  0.0761  0.0562  0.06
Brailowsky 1960   67  0.4676  0.0074  0.0567  0.0567  0.0565  0.05
Bunin 1987   88  0.2871  0.0087  0.0387  0.0387  0.0391  0.03
Bunin 1987b   87  0.2974  0.0088  0.0478  0.0488  0.0283  0.03
Chiu 1999   40  0.5580  0.0055  0.0750  0.0748  0.0659  0.06
Cohen 1997   66  0.4765  0.0070  0.0476  0.0424  0.2951  0.11
Cortot 1951   45  0.5316  0.0051  0.0660  0.069  0.5936  0.19
Csalog 1996   84  0.3486  0.0066  0.0382  0.0375  0.0386  0.03
Czerny 1949   12  0.593  0.094  0.157  0.5930  0.4216  0.50
Czerny 1990   2  0.6515  0.015  0.135  0.6414  0.535  0.58
Duchoud 2007   70  0.4563  0.0065  0.0654  0.0629  0.2548  0.12
Ezaki 2006   9  0.6113  0.0115  0.1024  0.4335  0.2828  0.35
Falvay 1989   26  0.579  0.0131  0.0931  0.3716  0.4921  0.43
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   80  0.3672  0.0084  0.0388  0.0381  0.0388  0.03
Fliere 1977   36  0.5643  0.0028  0.1023  0.4362  0.0538  0.15
Fou 1978   18  0.5877  0.0018  0.0714  0.5126  0.3324  0.41
Francois 1956   43  0.5414  0.0119  0.0825  0.426  0.6115  0.51
Friedman 1923   60  0.4835  0.0072  0.0564  0.0555  0.0574  0.05
Friedman 1923b   54  0.4945  0.0071  0.0472  0.0466  0.0580  0.04
Friedman 1930   58  0.4859  0.0073  0.0470  0.0473  0.0476  0.04
Garcia 2007   22  0.575  0.0217  0.0818  0.466  0.5912  0.52
Garcia 2007b   21  0.577  0.0113  0.1413  0.535  0.607  0.56
Gierzod 1998   41  0.5521  0.0032  0.0930  0.3749  0.0640  0.15
Gornostaeva 1994   59  0.4873  0.0062  0.0661  0.0676  0.0381  0.04
Groot 1988   27  0.5747  0.0016  0.0921  0.4511  0.4718  0.46
Harasiewicz 1955   13  0.5961  0.0026  0.0932  0.3653  0.0545  0.13
Hatto 1993   19  0.5856  0.0044  0.0843  0.1848  0.0654  0.10
Hatto 1997   34  0.5682  0.0045  0.0745  0.1448  0.0753  0.10
Horowitz 1949   86  0.3281  0.0086  0.0384  0.0384  0.0384  0.03
Indjic 1988   30  0.5769  0.0043  0.0642  0.1949  0.0649  0.11
Kapell 1951   52  0.5032  0.0030  0.0927  0.4144  0.1233  0.22
Kissin 1993   23  0.5724  0.0025  0.1020  0.4541  0.2829  0.35
Kushner 1989   6  0.646  0.023  0.174  0.6414  0.582  0.61
Luisada 1991   55  0.4839  0.0069  0.0568  0.0573  0.0375  0.04
Lushtak 2004   5  0.6437  0.0012  0.1112  0.5310  0.5510  0.54
Malcuzynski 1961   46  0.5229  0.0049  0.0655  0.0629  0.2447  0.12
Magaloff 1978   14  0.5819  0.0020  0.0828  0.406  0.5217  0.46
Magin 1975   50  0.5157  0.0046  0.0846  0.0860  0.0460  0.06
Michalowski 1933   85  0.3487  0.0085  0.0385  0.0382  0.0385  0.03
Milkina 1970   11  0.6066  0.0011  0.118  0.5826  0.4513  0.51
Mohovich 1999   39  0.5552  0.0021  0.0816  0.5030  0.3820  0.44
Moravec 1969   64  0.4749  0.0064  0.0659  0.0631  0.2842  0.13
Morozova 2008   20  0.5818  0.0038  0.0837  0.2942  0.2132  0.25
Neighaus 1950   31  0.5625  0.0047  0.0751  0.0732  0.2544  0.13
Niedzielski 1931   65  0.4738  0.0067  0.0381  0.0375  0.0382  0.03
Ohlsson 1999   17  0.5840  0.0041  0.0740  0.2337  0.2035  0.21
Osinska 1989   7  0.622  0.222  0.373  0.6815  0.581  0.63
Pachmann 1927   74  0.4175  0.0077  0.0383  0.0326  0.3452  0.10
Paderewski 1930   71  0.4444  0.0061  0.0656  0.0620  0.4537  0.16
Perlemuter 1992   53  0.5078  0.0054  0.0662  0.0643  0.1355  0.09
Pierdomenico 2008   62  0.488  0.0123  0.1022  0.442  0.688  0.55
Poblocka 1999   63  0.4820  0.0057  0.0749  0.0755  0.0558  0.06
Rabcewiczowa 1932   32  0.5641  0.0014  0.1319  0.4514  0.4222  0.43
Rachmaninoff 1923   35  0.5667  0.0027  0.0829  0.4031  0.2630  0.32
Rangell 2001   69  0.4628  0.0035  0.0939  0.246  0.5727  0.37
Richter 1976   75  0.4126  0.0075  0.0473  0.0450  0.0666  0.05
Rosen 1989   48  0.5162  0.0050  0.0658  0.0648  0.0661  0.06
Rosenthal 1930   77  0.3848  0.0082  0.0475  0.0476  0.0389  0.03
Rosenthal 1931   79  0.3733  0.0080  0.0471  0.0447  0.0768  0.05
Rosenthal 1931b   83  0.3591  0.0081  0.0386  0.0345  0.1072  0.05
Rosenthal 1931c   81  0.3555  0.0076  0.0477  0.0447  0.0673  0.05
Rosenthal 1931d   82  0.3588  0.0083  0.0469  0.0446  0.0771  0.05
Rossi 2007   28  0.574  0.0222  0.0815  0.504  0.5711  0.53
Rubinstein 1939   10  0.6123  0.009  0.1511  0.545  0.579  0.55
Rubinstein 1952   25  0.5712  0.017  0.1510  0.5610  0.566  0.56
Rubinstein 1966   3  0.6510  0.016  0.146  0.6212  0.574  0.59
Schilhawsky 1960   68  0.4660  0.0059  0.0653  0.0654  0.0569  0.05
Shebanova 2002   15  0.5827  0.0029  0.0926  0.4139  0.2131  0.29
Smith 1975   49  0.5183  0.0042  0.0844  0.1731  0.2534  0.21
Sokolov 2002   44  0.5317  0.0052  0.0565  0.0544  0.0957  0.07
Sztompka 1959   4  0.6411  0.018  0.152  0.7022  0.523  0.60
Tomsic 1995   57  0.4854  0.0053  0.0566  0.0525  0.4639  0.15
Uninsky 1932   73  0.4142  0.0068  0.0474  0.0464  0.0477  0.04
Uninsky 1971   76  0.4046  0.0063  0.0663  0.0680  0.0467  0.05
Wasowski 1980   51  0.5068  0.0060  0.0652  0.0676  0.0464  0.05
Zak 1937   42  0.5422  0.0040  0.0838  0.2558  0.0646  0.12
Zak 1951   38  0.5634  0.0037  0.0936  0.3052  0.0643  0.13
Average   1  0.721  0.471  0.471  0.8339  0.2319  0.44
Random 1   91  -0.1284  0.0091  0.0191  0.0142  0.1290  0.03
Random 2   89  0.0189  0.0089  0.0289  0.0236  0.1470  0.05
Random 3   90  -0.0753  0.0090  0.0190  0.0133  0.1979  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).