Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6238  0.0049  0.0646  0.0648  0.0553  0.05
Ashkenazy 1981   34  0.6256  0.0040  0.0937  0.0961  0.0450  0.06
Beliavsky 2004   53  0.5648  0.0057  0.0553  0.0560  0.0461  0.04
BenOr 1989   1  0.721  0.451  0.441  0.7637  0.098  0.26
Biret 1990   23  0.6421  0.0030  0.1328  0.3653  0.0625  0.15
Blet 2003   6  0.6712  0.014  0.1515  0.5040  0.0811  0.20
Block 1995   13  0.659  0.0215  0.1216  0.4944  0.0618  0.17
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   54  0.5664  0.0050  0.0460  0.0462  0.0460  0.04
Clidat 1994   2  0.698  0.023  0.162  0.6524  0.147  0.30
Cohen 1997   60  0.5351  0.0062  0.0648  0.0654  0.0457  0.05
Coop 1987   43  0.6018  0.0137  0.0938  0.0958  0.0540  0.07
Cortot 1951   41  0.6010  0.0255  0.0557  0.0551  0.0558  0.05
Czerny 1949   7  0.677  0.0321  0.0822  0.4245  0.0716  0.17
Czerny 1949b   47  0.5949  0.0047  0.0552  0.0545  0.0744  0.06
Ezaki 2006   38  0.6137  0.0034  0.0936  0.0953  0.0636  0.07
Falvay 1989   10  0.6641  0.0019  0.1213  0.5149  0.0614  0.17
Ferenczy 1958   20  0.6419  0.007  0.1311  0.556  0.563  0.55
Fiorentino 1962   27  0.6330  0.0027  0.0927  0.3854  0.0529  0.14
Fliere 1977   15  0.6527  0.0022  0.0918  0.4453  0.0619  0.16
Fou 1978   19  0.6522  0.009  0.174  0.6059  0.0424  0.15
Francois 1956   58  0.5555  0.0051  0.0461  0.0420  0.3533  0.12
Hatto 1997   52  0.5765  0.0060  0.0459  0.0461  0.0562  0.04
Horowitz 1971   25  0.6416  0.0116  0.1217  0.4827  0.245  0.34
Horowitz 1985   51  0.5736  0.0053  0.0645  0.0625  0.2631  0.12
Indjic 2001   50  0.5863  0.0059  0.0458  0.0452  0.0655  0.05
Kapell 1951   35  0.6244  0.0031  0.1231  0.2959  0.0435  0.11
Kiepura 1999   30  0.6329  0.0036  0.0842  0.0861  0.0443  0.06
Kilenyi 1937   28  0.6311  0.0117  0.127  0.5847  0.0612  0.19
Kissin 1993   37  0.6231  0.0035  0.1133  0.1159  0.0541  0.07
Kitain 1937   62  0.4833  0.0054  0.0551  0.0518  0.3530  0.13
Kushner 1990   45  0.6032  0.0033  0.0843  0.0849  0.0545  0.06
Levy 1951   36  0.626  0.0320  0.1021  0.4248  0.0620  0.16
Luisada 1990   32  0.6334  0.0041  0.0840  0.0858  0.0547  0.06
Lushtak 2004   48  0.5947  0.0048  0.0647  0.0657  0.0454  0.05
Lympany 1968   22  0.6417  0.0114  0.1224  0.4248  0.0526  0.14
Magaloff 1977   40  0.6140  0.0039  0.1034  0.1058  0.0446  0.06
Magaloff 1977b   46  0.6045  0.0043  0.0744  0.0761  0.0456  0.05
Magin 1975   16  0.6526  0.0032  0.1332  0.2551  0.0534  0.11
Milkina 1970   9  0.6653  0.0028  0.1030  0.3151  0.0532  0.12
Mohovich 1999   26  0.6339  0.0029  0.1129  0.3239  0.0628  0.14
Nadelmann 1956   4  0.6723  0.0011  0.155  0.6052  0.0515  0.17
Ohlsson 1999   59  0.5442  0.0061  0.0549  0.0544  0.0652  0.05
Olejniczac 1990   18  0.6543  0.0018  0.1414  0.5153  0.0617  0.17
Olejniczak 1991   44  0.6060  0.0038  0.0839  0.0849  0.0637  0.07
Osinska 1989   3  0.6713  0.0110  0.176  0.5957  0.0423  0.15
Paderewski 1912   56  0.5659  0.0052  0.0556  0.0559  0.0463  0.04
Perahia 1994   55  0.5650  0.0046  0.0555  0.0535  0.0848  0.06
Perlemuter 1986   8  0.6615  0.0126  0.1025  0.3932  0.149  0.23
Poblocka 1999   5  0.674  0.0712  0.1410  0.5536  0.0810  0.21
Rangell 2001   57  0.5561  0.0056  0.0462  0.0463  0.0464  0.04
Risler 1920   61  0.5146  0.0058  0.0554  0.0552  0.0551  0.05
Rosen 1989   21  0.642  0.105  0.148  0.5810  0.542  0.56
Rubinstein 1939   24  0.6425  0.0013  0.1019  0.4423  0.334  0.38
Rubinstein 1952   14  0.6514  0.016  0.1312  0.5451  0.0522  0.16
Rubinstein 1966   11  0.655  0.048  0.173  0.6128  0.166  0.31
Rummel 1943   12  0.653  0.092  0.269  0.573  0.581  0.57
Shebanova 2002   42  0.6054  0.0042  0.0841  0.0852  0.0642  0.07
Smith 1975   17  0.6528  0.0023  0.1126  0.3958  0.0527  0.14
Szpilman 1948   29  0.6320  0.0025  0.1023  0.4243  0.0713  0.17
Uninsky 1971   31  0.6324  0.0024  0.1320  0.4342  0.0621  0.16
Wasowski 1980   39  0.6135  0.0045  0.0550  0.0562  0.0459  0.04
Weissenberg 1971   49  0.5958  0.0044  0.0935  0.0957  0.0538  0.07
Random 1    64  -0.0257  0.0063  0.0264  0.0219  0.2639  0.07
Random 2   63  -0.0162  0.0064  0.0263  0.0264  0.0265  0.02
Random 3   65  -0.0352  0.0065  0.0265  0.0225  0.2049  0.06

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).