Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5065  0.0037  0.0838  0.223  0.6635  0.38
Anderszewski 2003   32  0.5067  0.0041  0.0540  0.1346  0.0966  0.11
Ashkenazy 1981   46  0.4552  0.0055  0.0563  0.059  0.4752  0.15
Bacha 2000   68  0.3968  0.0075  0.0288  0.0247  0.0590  0.03
Badura 1965   58  0.429  0.0163  0.0650  0.0633  0.2560  0.12
Barbosa 1983   13  0.5518  0.0013  0.1211  0.5617  0.5512  0.55
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   57  0.4387  0.0060  0.0651  0.0610  0.4550  0.16
Block 1995   43  0.4750  0.0051  0.0647  0.0622  0.4451  0.16
Blumental 1952   6  0.5876  0.0010  0.096  0.585  0.724  0.65
Boshniakovich 1969   29  0.5069  0.0020  0.0723  0.4317  0.4229  0.42
Brailowsky 1960   26  0.5244  0.0033  0.1034  0.3414  0.5726  0.44
Bunin 1987   71  0.3882  0.0070  0.0468  0.0447  0.0682  0.05
Bunin 1987b   74  0.3784  0.0071  0.0374  0.0349  0.0683  0.04
Chiu 1999   47  0.4510  0.0153  0.0746  0.0717  0.4047  0.17
Cohen 1997   75  0.3783  0.0073  0.0381  0.0317  0.3171  0.10
Cortot 1951   77  0.3560  0.0083  0.0375  0.0329  0.3472  0.10
Csalog 1996   40  0.4826  0.0026  0.0937  0.2320  0.3538  0.28
Czerny 1949   50  0.4485  0.0054  0.0558  0.0548  0.0779  0.06
Czerny 1990   19  0.5479  0.0016  0.1122  0.4433  0.4724  0.45
Duchoud 2007   87  0.2589  0.0087  0.0380  0.0360  0.0586  0.04
Ezaki 2006   15  0.5533  0.0028  0.1025  0.4227  0.3532  0.38
Falvay 1989   9  0.567  0.0124  0.0918  0.4732  0.4523  0.46
Farrell 1958   56  0.4325  0.0058  0.0560  0.0542  0.2068  0.10
Ferenczy 1958   64  0.4080  0.0067  0.0471  0.0437  0.2470  0.10
Fliere 1977   3  0.635  0.013  0.255  0.637  0.597  0.61
Fou 1978   25  0.5316  0.0032  0.0829  0.3620  0.4133  0.38
Francois 1956   66  0.3922  0.0048  0.0652  0.065  0.5646  0.18
Friedman 1923   79  0.3455  0.0076  0.0287  0.0226  0.3676  0.08
Friedman 1923b   83  0.3161  0.0077  0.0286  0.0235  0.2678  0.07
Friedman 1930   53  0.4356  0.0050  0.0554  0.058  0.5848  0.17
Garcia 2007   81  0.3340  0.0082  0.0377  0.0340  0.2075  0.08
Garcia 2007b   67  0.3988  0.0047  0.0555  0.0532  0.3163  0.12
Gierzod 1998   12  0.5521  0.0011  0.1110  0.5621  0.4719  0.51
Gornostaeva 1994   55  0.4390  0.0043  0.0541  0.1332  0.3341  0.21
Groot 1988   18  0.5434  0.0019  0.1117  0.483  0.5717  0.52
Harasiewicz 1955   21  0.5330  0.0030  0.0826  0.4232  0.4230  0.42
Hatto 1993   16  0.5546  0.0018  0.1115  0.5113  0.5418  0.52
Hatto 1997   20  0.5481  0.0023  0.0919  0.4716  0.5220  0.49
Horowitz 1949   78  0.3571  0.0074  0.0379  0.0313  0.4858  0.12
Indjic 1988   14  0.5572  0.0017  0.1114  0.5311  0.5711  0.55
Kapell 1951   51  0.4458  0.0062  0.0553  0.0552  0.0680  0.05
Kissin 1993   63  0.4086  0.0078  0.0385  0.0360  0.0585  0.04
Kushner 1989   7  0.5728  0.008  0.123  0.6618  0.509  0.57
Luisada 1991   49  0.4411  0.0142  0.0543  0.1119  0.4939  0.23
Lushtak 2004   34  0.4914  0.0121  0.0724  0.4319  0.5122  0.47
Malcuzynski 1961   37  0.4977  0.0038  0.1036  0.2835  0.3037  0.29
Magaloff 1978   22  0.5319  0.0029  0.0830  0.3613  0.5128  0.43
Magin 1975   38  0.4820  0.0034  0.0832  0.3522  0.4731  0.41
Michalowski 1933   85  0.2738  0.0081  0.0378  0.036  0.5755  0.13
Milkina 1970   8  0.5717  0.005  0.232  0.6912  0.595  0.64
Mohovich 1999   5  0.584  0.0212  0.129  0.569  0.628  0.59
Moravec 1969   42  0.4766  0.0045  0.0445  0.0837  0.1957  0.12
Morozova 2008   60  0.4148  0.0046  0.0565  0.0528  0.3456  0.13
Neighaus 1950   82  0.3245  0.0085  0.0384  0.0357  0.0589  0.04
Niedzielski 1931   76  0.3641  0.0072  0.0373  0.0322  0.3567  0.10
Ohlsson 1999   33  0.506  0.0125  0.0927  0.388  0.5821  0.47
Osinska 1989   11  0.5527  0.009  0.1112  0.5525  0.5214  0.53
Pachmann 1927   86  0.2573  0.0088  0.0472  0.0455  0.0584  0.04
Paderewski 1930   88  0.2349  0.0086  0.0376  0.0330  0.2174  0.08
Perlemuter 1992   65  0.4074  0.0061  0.0559  0.057  0.5049  0.16
Pierdomenico 2008   80  0.3370  0.0079  0.0383  0.0326  0.3764  0.11
Poblocka 1999   44  0.4637  0.0039  0.0639  0.1340  0.2443  0.18
Rabcewiczowa 1932   28  0.513  0.026  0.1716  0.506  0.5415  0.52
Rachmaninoff 1923   10  0.568  0.017  0.258  0.583  0.733  0.65
Rangell 2001   70  0.3942  0.0080  0.0382  0.0357  0.0688  0.04
Richter 1976   45  0.4635  0.0057  0.0556  0.0538  0.2565  0.11
Rosen 1989   52  0.4354  0.0049  0.0562  0.0531  0.3161  0.12
Rosenthal 1930   48  0.4531  0.0059  0.0649  0.0612  0.5745  0.18
Rosenthal 1931   73  0.3753  0.0068  0.0466  0.0433  0.2569  0.10
Rosenthal 1931b   54  0.4313  0.0164  0.0467  0.0417  0.4754  0.14
Rosenthal 1931c   62  0.4036  0.0066  0.0557  0.0530  0.2762  0.12
Rosenthal 1931d   61  0.4175  0.0065  0.0470  0.0418  0.4753  0.14
Rossi 2007   84  0.3112  0.0184  0.0469  0.0438  0.1573  0.08
Rubinstein 1939   36  0.4957  0.0040  0.0542  0.1224  0.4240  0.22
Rubinstein 1952   27  0.5278  0.0027  0.1128  0.3729  0.3736  0.37
Rubinstein 1966   17  0.5432  0.0014  0.1113  0.5424  0.5016  0.52
Schilhawsky 1960   23  0.5351  0.0015  0.1021  0.455  0.6813  0.55
Shebanova 2002   30  0.5039  0.0031  0.0833  0.3411  0.5627  0.44
Smith 1975   24  0.5315  0.0122  0.0720  0.476  0.6510  0.55
Sokolov 2002   39  0.4862  0.0052  0.0648  0.0612  0.5244  0.18
Sztompka 1959   72  0.3723  0.0056  0.0561  0.0537  0.2859  0.12
Tomsic 1995   59  0.4159  0.0069  0.0564  0.0566  0.0581  0.05
Uninsky 1932   69  0.3943  0.0044  0.0444  0.0824  0.5042  0.20
Uninsky 1971   35  0.4929  0.0036  0.0935  0.2921  0.5034  0.38
Wasowski 1980   41  0.4747  0.0035  0.1131  0.3613  0.5325  0.44
Zak 1937   4  0.6124  0.004  0.227  0.585  0.696  0.63
Zak 1951   2  0.632  0.082  0.284  0.635  0.742  0.68
Average   1  0.741  0.711  0.711  0.8710  0.701  0.78
Random 1   91  -0.0991  0.0091  0.0191  0.0169  0.0291  0.01
Random 2   89  0.0664  0.0089  0.0289  0.0227  0.2777  0.07
Random 3   90  -0.0463  0.0090  0.0190  0.0140  0.1587  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).