Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.6237  0.0050  0.0647  0.0648  0.0553  0.05
Ashkenazy 1981   35  0.6261  0.0041  0.0938  0.0962  0.0449  0.06
Beliavsky 2004   54  0.5648  0.0058  0.0554  0.0561  0.0460  0.04
BenOr 1989   2  0.723  0.022  0.442  0.7537  0.098  0.26
Biret 1990   24  0.6422  0.0031  0.1329  0.3154  0.0627  0.14
Blet 2003   7  0.6710  0.015  0.1416  0.4940  0.0812  0.20
Block 1995   14  0.657  0.0116  0.1217  0.4845  0.0619  0.17
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   55  0.5664  0.0051  0.0461  0.0463  0.0459  0.04
Clidat 1994   3  0.6938  0.004  0.163  0.6525  0.147  0.30
Cohen 1997   61  0.5349  0.0063  0.0649  0.0655  0.0457  0.05
Coop 1987   44  0.6027  0.0038  0.0839  0.0859  0.0544  0.06
Cortot 1951   42  0.608  0.0156  0.0458  0.0452  0.0565  0.04
Czerny 1949   8  0.676  0.0222  0.0822  0.4146  0.0717  0.17
Czerny 1949b   48  0.5955  0.0048  0.0553  0.0546  0.0651  0.05
Ezaki 2006   39  0.6133  0.0035  0.0937  0.0954  0.0637  0.07
Falvay 1989   11  0.6643  0.0020  0.1214  0.5050  0.0615  0.17
Ferenczy 1958   21  0.6416  0.008  0.1313  0.517  0.553  0.53
Fiorentino 1962   28  0.6325  0.0028  0.0928  0.3555  0.0529  0.13
Fliere 1977   16  0.6526  0.0023  0.0920  0.4354  0.0522  0.15
Fou 1978   20  0.6529  0.0010  0.166  0.5960  0.0425  0.15
Francois 1956   59  0.5553  0.0052  0.0462  0.0421  0.3434  0.12
Hatto 1997   53  0.5766  0.0061  0.0460  0.0462  0.0561  0.04
Horowitz 1971   26  0.6414  0.0017  0.1118  0.4728  0.245  0.34
Horowitz 1985   52  0.5734  0.0054  0.0646  0.0626  0.2430  0.12
Indjic 2001   51  0.5863  0.0060  0.0459  0.0453  0.0655  0.05
Kapell 1951   36  0.6244  0.0032  0.1232  0.2360  0.0435  0.10
Kiepura 1999   31  0.6324  0.0037  0.0843  0.0862  0.0443  0.06
Kilenyi 1937   29  0.6313  0.0118  0.128  0.5748  0.0613  0.18
Kissin 1993   38  0.6235  0.0036  0.1034  0.1060  0.0541  0.07
Kitain 1937   63  0.4832  0.0055  0.0552  0.0521  0.2933  0.12
Kushner 1990   46  0.6028  0.0034  0.0844  0.0850  0.0545  0.06
Levy 1951   37  0.6239  0.0021  0.1024  0.4049  0.0624  0.15
Luisada 1990   33  0.6331  0.0042  0.0841  0.0859  0.0547  0.06
Lushtak 2004   49  0.5954  0.0049  0.0648  0.0658  0.0454  0.05
Lympany 1968   23  0.6418  0.0015  0.1225  0.4049  0.0526  0.14
Magaloff 1977   41  0.6141  0.0040  0.1035  0.1059  0.0446  0.06
Magaloff 1977b   47  0.6046  0.0044  0.0745  0.0762  0.0456  0.05
Magin 1975   17  0.6519  0.0033  0.1333  0.1352  0.0536  0.08
Milkina 1970   10  0.6665  0.0029  0.1030  0.3052  0.0532  0.12
Mohovich 1999   27  0.6336  0.0030  0.1131  0.2840  0.0628  0.13
Nadelmann 1956   5  0.6721  0.0012  0.155  0.5953  0.0516  0.17
Ohlsson 1999   60  0.5442  0.0062  0.0550  0.0545  0.0652  0.05
Olejniczac 1990   19  0.6540  0.0019  0.1415  0.5054  0.0618  0.17
Olejniczak 1991   45  0.6060  0.0039  0.0840  0.0850  0.0638  0.07
Osinska 1989   4  0.679  0.0111  0.177  0.5858  0.0423  0.15
Paderewski 1912   57  0.5658  0.0053  0.0557  0.0560  0.0462  0.04
Perahia 1994   56  0.5651  0.0047  0.0556  0.0535  0.0848  0.06
Perlemuter 1986   9  0.6617  0.0027  0.1027  0.3832  0.139  0.22
Poblocka 1999   6  0.674  0.0213  0.1412  0.5437  0.0810  0.21
Rangell 2001   58  0.5562  0.0057  0.0463  0.0464  0.0464  0.04
Risler 1920   62  0.5147  0.0059  0.0555  0.0553  0.0550  0.05
Rosen 1989   22  0.642  0.086  0.149  0.5711  0.542  0.55
Rubinstein 1939   25  0.6420  0.0014  0.1019  0.4323  0.334  0.38
Rubinstein 1952   15  0.6511  0.017  0.1311  0.5452  0.0521  0.16
Rubinstein 1966   12  0.6512  0.019  0.174  0.6029  0.156  0.30
Rummel 1943   13  0.655  0.023  0.2610  0.564  0.581  0.57
Shebanova 2002   43  0.6050  0.0043  0.0842  0.0853  0.0642  0.07
Smith 1975   18  0.6523  0.0024  0.1126  0.3859  0.0431  0.12
Szpilman 1948   30  0.6315  0.0026  0.1023  0.4143  0.0714  0.17
Uninsky 1971   32  0.6345  0.0025  0.1321  0.4243  0.0620  0.16
Wasowski 1980   40  0.6130  0.0046  0.0551  0.0563  0.0458  0.04
Weissenberg 1971   50  0.5957  0.0045  0.0936  0.0958  0.0539  0.07
Average   1  0.761  0.711  0.701  0.9058  0.0511  0.21
Random 1    65  -0.0256  0.0064  0.0265  0.0219  0.2640  0.07
Random 2   64  -0.0159  0.0065  0.0264  0.0265  0.0266  0.02
Random 3   66  -0.0352  0.0066  0.0166  0.0125  0.2063  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).