Coop 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4223  0.0036  0.0837  0.085  0.6533  0.23
Ashkenazy 1981   23  0.4920  0.0018  0.1516  0.468  0.6714  0.56
Beliavsky 2004   54  0.3342  0.0056  0.0557  0.0520  0.3344  0.13
BenOr 1989   7  0.5612  0.019  0.208  0.594  0.756  0.67
Biret 1990   25  0.4941  0.0027  0.1128  0.336  0.5627  0.43
Blet 2003   17  0.5122  0.0015  0.149  0.556  0.719  0.62
Block 1995   36  0.4246  0.0035  0.0740  0.0717  0.3440  0.15
Brailowsky 1960   40  0.4139  0.0033  0.1333  0.1331  0.1838  0.15
Chiu 1999   49  0.3837  0.0050  0.0555  0.0530  0.1251  0.08
Clidat 1994   11  0.5317  0.006  0.1818  0.455  0.5520  0.50
Cohen 1997   55  0.3340  0.0054  0.0547  0.0513  0.5437  0.16
Coop 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   63  0.2355  0.0063  0.0546  0.0556  0.0561  0.05
Czerny 1949   62  0.3047  0.0062  0.0645  0.0649  0.0560  0.05
Czerny 1949b   57  0.3252  0.0060  0.0552  0.0548  0.0559  0.05
Ezaki 2006   18  0.5110  0.0126  0.1321  0.4215  0.6018  0.50
Falvay 1989   24  0.4918  0.0030  0.1231  0.299  0.5928  0.41
Ferenczy 1958   13  0.5248  0.0014  0.1214  0.489  0.6713  0.57
Fiorentino 1962   20  0.5033  0.0016  0.1815  0.477  0.7112  0.58
Fliere 1977   33  0.4427  0.0037  0.0741  0.0710  0.5035  0.19
Fou 1978   46  0.3951  0.0043  0.0935  0.0928  0.3536  0.18
Francois 1956   39  0.4129  0.0040  0.0742  0.077  0.5734  0.20
Hatto 1997   15  0.5262  0.0022  0.0925  0.385  0.6619  0.50
Horowitz 1971   51  0.3534  0.0052  0.0548  0.0555  0.0463  0.04
Horowitz 1985   58  0.3166  0.0055  0.0553  0.0554  0.0658  0.05
Indjic 2001   16  0.5157  0.0024  0.1027  0.346  0.6524  0.47
Kapell 1951   26  0.4928  0.0031  0.1130  0.298  0.5529  0.40
Kiepura 1999   37  0.4249  0.0041  0.0738  0.0747  0.0556  0.06
Kilenyi 1937   29  0.4835  0.0023  0.0924  0.3817  0.5923  0.47
Kissin 1993   43  0.4154  0.0049  0.0551  0.0538  0.1055  0.07
Kitain 1937   56  0.3343  0.0053  0.0458  0.0414  0.4641  0.14
Kushner 1990   28  0.4815  0.0010  0.1112  0.5011  0.6015  0.55
Levy 1951   47  0.3950  0.0046  0.0644  0.0622  0.3043  0.13
Luisada 1990   60  0.3060  0.0057  0.0550  0.0536  0.0857  0.06
Lushtak 2004   10  0.5321  0.0017  0.1711  0.545  0.6711  0.60
Lympany 1968   8  0.553  0.018  0.185  0.632  0.794  0.71
Magaloff 1977   52  0.3453  0.0058  0.0363  0.0329  0.2252  0.08
Magaloff 1977b   53  0.3461  0.0059  0.0556  0.0523  0.2149  0.10
Magin 1975   44  0.408  0.0144  0.0554  0.0536  0.1154  0.07
Milkina 1970   2  0.5911  0.015  0.294  0.673  0.725  0.69
Mohovich 1999   27  0.494  0.0129  0.1226  0.354  0.6722  0.48
Nadelmann 1956   32  0.4463  0.0028  0.1129  0.3240  0.0739  0.15
Ohlsson 1999   42  0.4132  0.0042  0.0936  0.0930  0.1447  0.11
Olejniczac 1990   22  0.4925  0.0020  0.1119  0.4410  0.7016  0.55
Olejniczak 1991   14  0.5216  0.0011  0.1310  0.556  0.738  0.63
Osinska 1989   12  0.539  0.0119  0.1120  0.4228  0.3730  0.39
Paderewski 1912   61  0.3065  0.0061  0.0462  0.0459  0.0364  0.03
Perahia 1994   9  0.5336  0.0013  0.1217  0.4610  0.5917  0.52
Perlemuter 1986   6  0.5613  0.007  0.183  0.693  0.773  0.73
Poblocka 1999   41  0.4156  0.0039  0.0739  0.0728  0.2146  0.12
Rangell 2001   45  0.3945  0.0047  0.0460  0.0418  0.5042  0.14
Risler 1920   59  0.3114  0.0051  0.0459  0.0425  0.2250  0.09
Rosen 1989   50  0.355  0.0148  0.0461  0.0433  0.1653  0.08
Rubinstein 1939   19  0.5124  0.0012  0.1113  0.4810  0.5121  0.49
Rubinstein 1952   5  0.576  0.014  0.237  0.605  0.707  0.65
Rubinstein 1966   3  0.582  0.013  0.296  0.628  0.6310  0.62
Rummel 1943   48  0.3930  0.0045  0.0549  0.0523  0.2348  0.11
Shebanova 2002   21  0.5019  0.0025  0.1123  0.3916  0.5025  0.44
Smith 1975   31  0.4644  0.0021  0.1222  0.413  0.4626  0.43
Szpilman 1948   34  0.4431  0.0034  0.1134  0.1115  0.5732  0.25
Uninsky 1971   30  0.4826  0.0032  0.1332  0.246  0.5831  0.37
Wasowski 1980   35  0.4338  0.0038  0.0743  0.0728  0.2045  0.12
Weissenberg 1971   4  0.577  0.012  0.222  0.701  0.802  0.75
Average   1  0.731  0.841  0.831  0.914  0.651  0.77
Random 1    64  0.0064  0.0064  0.0364  0.0333  0.0662  0.04
Random 2   66  -0.0458  0.0066  0.0166  0.0153  0.0466  0.02
Random 3   65  0.0059  0.0065  0.0265  0.0244  0.0565  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).