Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.626  0.057  0.1211  0.4817  0.5013  0.49
Anderszewski 2003   68  0.4341  0.0064  0.0649  0.0644  0.0965  0.07
Ashkenazy 1981   47  0.5171  0.0053  0.0647  0.0651  0.0575  0.05
Bacha 2000   52  0.5079  0.0058  0.0469  0.0432  0.3351  0.11
Badura 1965   69  0.4329  0.0074  0.0387  0.0365  0.0583  0.04
Barbosa 1983   33  0.5438  0.0024  0.0918  0.435  0.5911  0.50
Biret 1990   32  0.5450  0.0044  0.0543  0.1044  0.1157  0.10
Blet 2003   36  0.5328  0.0041  0.0738  0.1919  0.3932  0.27
Block 1995   21  0.5711  0.0215  0.0820  0.426  0.5116  0.46
Blumental 1952   76  0.4042  0.0068  0.0374  0.0375  0.0487  0.03
Boshniakovich 1969   34  0.5485  0.0038  0.0636  0.2345  0.0744  0.13
Brailowsky 1960   18  0.5827  0.0033  0.0731  0.316  0.6815  0.46
Bunin 1987   42  0.5243  0.0050  0.0650  0.0619  0.4041  0.15
Bunin 1987b   43  0.5248  0.0049  0.0457  0.0422  0.3845  0.12
Chiu 1999   55  0.4930  0.0021  0.0727  0.3511  0.5318  0.43
Cohen 1997   82  0.3661  0.0083  0.0461  0.0420  0.3353  0.11
Cortot 1951   74  0.4182  0.0082  0.0378  0.0339  0.1567  0.07
Csalog 1996   48  0.5045  0.0042  0.0740  0.1625  0.3637  0.24
Czerny 1949   57  0.4755  0.0060  0.0463  0.0461  0.0482  0.04
Czerny 1990   12  0.595  0.0514  0.084  0.5423  0.3617  0.44
Duchoud 2007   60  0.4765  0.0066  0.0381  0.0337  0.1866  0.07
Ezaki 2006   13  0.5932  0.0027  0.0722  0.3932  0.2828  0.33
Falvay 1989   4  0.6319  0.015  0.135  0.546  0.603  0.57
Farrell 1958   35  0.5353  0.0039  0.0639  0.1716  0.4134  0.26
Ferenczy 1958   62  0.4667  0.0080  0.0455  0.0436  0.1860  0.08
Fliere 1977   2  0.653  0.112  0.271  0.678  0.592  0.63
Fou 1978   10  0.5916  0.0110  0.103  0.5720  0.4212  0.49
Francois 1956   8  0.608  0.0412  0.118  0.496  0.626  0.55
Friedman 1923   87  0.2752  0.0087  0.0459  0.0455  0.0585  0.04
Friedman 1923b   86  0.2868  0.0086  0.0464  0.0474  0.0484  0.04
Friedman 1930   81  0.3673  0.0065  0.0471  0.0435  0.1958  0.09
Garcia 2007   83  0.3634  0.0081  0.0375  0.0331  0.2161  0.08
Garcia 2007b   80  0.3756  0.0067  0.0460  0.0418  0.3550  0.12
Gierzod 1998   50  0.5049  0.0052  0.0553  0.0549  0.0674  0.05
Gornostaeva 1994   24  0.5626  0.0020  0.0829  0.3521  0.4624  0.40
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   44  0.5181  0.0022  0.0725  0.3839  0.1933  0.27
Hatto 1993   75  0.4159  0.0062  0.0466  0.0429  0.1862  0.08
Hatto 1997   72  0.4260  0.0054  0.0456  0.0446  0.0772  0.05
Horowitz 1949   17  0.5814  0.0116  0.0921  0.423  0.669  0.53
Indjic 1988   73  0.4251  0.0063  0.0745  0.0731  0.2047  0.12
Kapell 1951   31  0.5477  0.0051  0.0458  0.0470  0.0479  0.04
Kissin 1993   26  0.5566  0.0030  0.0732  0.3053  0.0643  0.13
Kushner 1989   16  0.5880  0.0028  0.0828  0.3525  0.3327  0.34
Luisada 1991   40  0.5239  0.0048  0.0651  0.0645  0.0863  0.07
Lushtak 2004   39  0.5269  0.0034  0.0830  0.3130  0.3331  0.32
Malcuzynski 1961   20  0.5836  0.0035  0.0937  0.2125  0.3135  0.26
Magaloff 1978   6  0.622  0.133  0.206  0.533  0.558  0.54
Magin 1975   49  0.5054  0.0037  0.0642  0.1131  0.2539  0.17
Michalowski 1933   84  0.3331  0.0084  0.0376  0.0366  0.0581  0.04
Milkina 1970   7  0.6220  0.0111  0.1112  0.4726  0.4019  0.43
Mohovich 1999   1  0.671  0.301  0.302  0.633  0.751  0.69
Moravec 1969   54  0.4937  0.0073  0.0384  0.0345  0.0677  0.04
Morozova 2008   46  0.5125  0.0029  0.0824  0.3825  0.2830  0.33
Neighaus 1950   14  0.5847  0.0018  0.0915  0.4521  0.3920  0.42
Niedzielski 1931   66  0.4521  0.0072  0.0385  0.0349  0.0486  0.03
Ohlsson 1999   53  0.4935  0.0059  0.0470  0.0448  0.0670  0.05
Osinska 1989   23  0.5644  0.0032  0.1033  0.2937  0.2236  0.25
Pachmann 1927   65  0.4583  0.0079  0.0468  0.0424  0.3546  0.12
Paderewski 1930   58  0.4746  0.0078  0.0377  0.0348  0.0580  0.04
Perlemuter 1992   19  0.5812  0.0117  0.1010  0.494  0.597  0.54
Pierdomenico 2008   59  0.4778  0.0031  0.0834  0.2615  0.4329  0.33
Poblocka 1999   29  0.5418  0.0136  0.0935  0.2557  0.0552  0.11
Rabcewiczowa 1932   61  0.4762  0.0057  0.0372  0.0344  0.1168  0.06
Rachmaninoff 1923   27  0.559  0.034  0.1014  0.459  0.5014  0.47
Rangell 2001   64  0.4533  0.0047  0.0646  0.0653  0.0576  0.05
Richter 1976   45  0.5164  0.0043  0.0544  0.1031  0.3040  0.17
Rosen 1989   28  0.5517  0.0125  0.0823  0.3920  0.4123  0.40
Rosenthal 1930   63  0.4657  0.0061  0.0467  0.0420  0.4642  0.14
Rosenthal 1931   79  0.3876  0.0070  0.0383  0.0321  0.4848  0.12
Rosenthal 1931b   77  0.3986  0.0076  0.0373  0.0320  0.4454  0.11
Rosenthal 1931c   70  0.4387  0.0075  0.0382  0.0323  0.3955  0.11
Rosenthal 1931d   71  0.4274  0.0071  0.0380  0.0315  0.4749  0.12
Rossi 2007   85  0.3184  0.0085  0.0462  0.0436  0.1859  0.08
Rubinstein 1939   78  0.3872  0.0069  0.0379  0.0335  0.1864  0.07
Rubinstein 1952   9  0.604  0.069  0.1116  0.4413  0.5810  0.51
Rubinstein 1966   11  0.5915  0.0119  0.097  0.529  0.624  0.57
Schilhawsky 1960   56  0.4958  0.0056  0.0554  0.0548  0.0671  0.05
Shebanova 2002   15  0.5875  0.0026  0.0826  0.3729  0.3426  0.35
Smith 1975   22  0.5722  0.0023  0.0819  0.4318  0.4021  0.41
Sokolov 2002   41  0.5240  0.0055  0.0465  0.0462  0.0478  0.04
Sztompka 1959   38  0.527  0.0445  0.0648  0.0634  0.1756  0.10
Tomsic 1995   3  0.6323  0.006  0.159  0.493  0.645  0.56
Uninsky 1932   67  0.4470  0.0077  0.0386  0.0345  0.0973  0.05
Uninsky 1971   51  0.5063  0.0046  0.0652  0.0649  0.0769  0.06
Wasowski 1980   37  0.5313  0.0140  0.0641  0.1630  0.2638  0.20
Zak 1937   30  0.5424  0.0013  0.0917  0.4326  0.3625  0.39
Zak 1951   25  0.5510  0.038  0.1113  0.4625  0.3722  0.41
Random 1   90  -0.0989  0.0088  0.0189  0.0157  0.0489  0.02
Random 2   89  -0.0788  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   88  -0.0390  0.0089  0.0188  0.0142  0.0788  0.03

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).