Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   68  0.5560  0.0058  0.0368  0.0369  0.0390  0.03
Ashkenazy 1981   55  0.6058  0.0042  0.0842  0.1737  0.1943  0.18
Bacha 2000   65  0.5645  0.0055  0.0458  0.0439  0.1768  0.08
Badura 1965   28  0.7178  0.0026  0.0728  0.321  0.6422  0.45
Barbosa 1983   56  0.6042  0.0054  0.0456  0.0413  0.4245  0.13
Biret 1990   30  0.706  0.0335  0.0737  0.2415  0.3737  0.30
Blet 2003   7  0.7841  0.0016  0.0822  0.403  0.5716  0.48
Block 1995   66  0.5680  0.0053  0.0453  0.0449  0.0581  0.04
Blumental 1952   74  0.5153  0.0045  0.0545  0.0927  0.1946  0.13
Boshniakovich 1969   39  0.6762  0.0047  0.0450  0.0423  0.3552  0.12
Brailowsky 1960   63  0.5782  0.0083  0.0451  0.0475  0.0480  0.04
Bunin 1987   58  0.5987  0.0066  0.0466  0.0426  0.3553  0.12
Bunin 1987b   62  0.5976  0.0065  0.0467  0.0425  0.3750  0.12
Chiu 1999   60  0.5950  0.0061  0.0386  0.0326  0.2963  0.09
Cohen 1997   88  0.2843  0.0088  0.0460  0.0466  0.0483  0.04
Cortot 1951   40  0.6686  0.0048  0.0546  0.0520  0.3547  0.13
Csalog 1996   72  0.5330  0.0074  0.0371  0.0329  0.2566  0.09
Czerny 1949   4  0.812  0.102  0.302  0.643  0.672  0.65
Czerny 1990   2  0.833  0.063  0.313  0.623  0.653  0.63
Duchoud 2007   41  0.6614  0.0141  0.0941  0.195  0.4539  0.29
Ezaki 2006   3  0.8116  0.014  0.134  0.623  0.614  0.61
Falvay 1989   52  0.6215  0.0177  0.0373  0.0342  0.1575  0.07
Farrell 1958   47  0.6325  0.0170  0.0381  0.0373  0.0488  0.03
Ferenczy 1958   44  0.6520  0.0144  0.0544  0.1016  0.3242  0.18
Fliere 1977   5  0.8136  0.005  0.135  0.577  0.536  0.55
Fou 1978   36  0.688  0.0238  0.0731  0.3021  0.3831  0.34
Francois 1956   11  0.7627  0.0118  0.0810  0.473  0.657  0.55
Friedman 1923   81  0.4944  0.0063  0.0377  0.0310  0.5348  0.13
Friedman 1923b   80  0.4951  0.0062  0.0382  0.0310  0.5154  0.12
Friedman 1930   75  0.5161  0.0060  0.0385  0.0324  0.3858  0.11
Garcia 2007   70  0.5459  0.0073  0.0372  0.0334  0.2072  0.08
Garcia 2007b   86  0.4083  0.0067  0.0376  0.0324  0.2174  0.08
Gierzod 1998   16  0.7411  0.017  0.136  0.548  0.539  0.53
Gornostaeva 1994   34  0.6938  0.0024  0.0634  0.2616  0.4433  0.34
Groot 1988   25  0.717  0.0336  0.0736  0.2622  0.4335  0.33
Harasiewicz 1955   45  0.6417  0.0132  0.1130  0.3021  0.3736  0.33
Hatto 1993   79  0.4957  0.0056  0.0548  0.0530  0.1962  0.10
Hatto 1997   64  0.5631  0.0043  0.0543  0.1124  0.2644  0.17
Horowitz 1949   57  0.6074  0.0072  0.0454  0.0433  0.3256  0.11
Indjic 1988   73  0.5256  0.0051  0.0464  0.0427  0.2165  0.09
Kapell 1951   31  0.7072  0.0030  0.0727  0.3319  0.3730  0.35
Kissin 1993   8  0.7722  0.0111  0.117  0.528  0.625  0.57
Kushner 1989   13  0.7573  0.0019  0.0621  0.4119  0.4523  0.43
Luisada 1991   38  0.6728  0.0020  0.0832  0.2928  0.3734  0.33
Lushtak 2004   35  0.6888  0.0037  0.0835  0.2629  0.2341  0.24
Malcuzynski 1961   32  0.6921  0.0139  0.0638  0.236  0.5132  0.34
Magaloff 1978   54  0.6137  0.0050  0.0461  0.0446  0.0879  0.06
Magin 1975   59  0.5924  0.0123  0.0639  0.2218  0.3140  0.26
Michalowski 1933   76  0.5064  0.0052  0.0465  0.0424  0.3751  0.12
Milkina 1970   24  0.7123  0.0134  0.0725  0.3618  0.3828  0.37
Mohovich 1999   14  0.7440  0.0028  0.0816  0.4310  0.5317  0.48
Moravec 1969   53  0.6165  0.0076  0.0459  0.0426  0.3449  0.12
Morozova 2008   22  0.7110  0.028  0.1118  0.434  0.5019  0.46
Neighaus 1950   12  0.7546  0.009  0.098  0.527  0.5310  0.52
Niedzielski 1931   48  0.6354  0.0064  0.0384  0.0315  0.4155  0.11
Ohlsson 1999   26  0.7132  0.0022  0.0617  0.4315  0.4324  0.43
Osinska 1989   9  0.7655  0.0017  0.0613  0.468  0.5512  0.50
Pachmann 1927   61  0.5969  0.0078  0.0452  0.0420  0.3357  0.11
Paderewski 1930   51  0.6252  0.0071  0.0369  0.0329  0.2071  0.08
Perlemuter 1992   20  0.7371  0.0031  0.0833  0.2711  0.4529  0.35
Pierdomenico 2008   69  0.5477  0.0079  0.0457  0.0442  0.1377  0.07
Poblocka 1999   10  0.7613  0.0112  0.1214  0.468  0.5014  0.48
Rabcewiczowa 1932   33  0.6939  0.0033  0.0829  0.318  0.4926  0.39
Rachmaninoff 1923   23  0.7112  0.0121  0.1020  0.415  0.5715  0.48
Rangell 2001   78  0.4935  0.0081  0.0547  0.0534  0.2261  0.10
Richter 1976   49  0.6367  0.0068  0.0380  0.0325  0.2964  0.09
Rosen 1989   17  0.735  0.046  0.1111  0.4711  0.5313  0.50
Rosenthal 1930   67  0.5568  0.0075  0.0463  0.0433  0.2267  0.09
Rosenthal 1931   85  0.4170  0.0084  0.0374  0.0363  0.0489  0.03
Rosenthal 1931b   87  0.3981  0.0087  0.0370  0.0350  0.0585  0.04
Rosenthal 1931c   77  0.5066  0.0080  0.0462  0.0440  0.1773  0.08
Rosenthal 1931d   84  0.4363  0.0086  0.0289  0.0247  0.0784  0.04
Rossi 2007   82  0.4533  0.0082  0.0375  0.0328  0.2470  0.08
Rubinstein 1939   83  0.4326  0.0185  0.0287  0.0263  0.0487  0.03
Rubinstein 1952   71  0.5318  0.0159  0.0383  0.0355  0.0686  0.04
Rubinstein 1966   50  0.6249  0.0049  0.0455  0.0432  0.2760  0.10
Schilhawsky 1960   29  0.7047  0.0029  0.0926  0.3421  0.4327  0.38
Shebanova 2002   15  0.7475  0.0027  0.0619  0.4214  0.5020  0.46
Smith 1975   42  0.6589  0.0046  0.0549  0.0544  0.1076  0.07
Sokolov 2002   37  0.6834  0.0040  0.0740  0.2017  0.4238  0.29
Sztompka 1959   6  0.7829  0.0010  0.139  0.514  0.578  0.54
Tomsic 1995   46  0.6484  0.0069  0.0379  0.0328  0.3159  0.10
Uninsky 1932   27  0.7148  0.0025  0.0623  0.395  0.5718  0.47
Uninsky 1971   21  0.724  0.0413  0.1212  0.476  0.5511  0.51
Wasowski 1980   43  0.6579  0.0057  0.0378  0.0328  0.2069  0.08
Zak 1937   19  0.7319  0.0115  0.1024  0.3814  0.4525  0.41
Zak 1951   18  0.739  0.0214  0.1215  0.4311  0.4821  0.45
Average   1  0.861  0.451  0.441  0.774  0.621  0.69
Random 1   91  -0.2091  0.0091  0.0191  0.0177  0.0291  0.01
Random 2   89  -0.0885  0.0089  0.0288  0.0221  0.2278  0.07
Random 3   90  -0.1190  0.0090  0.0290  0.0244  0.0882  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).