Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   18  0.8220  0.0020  0.1220  0.4242  0.0720  0.17
Bacha 1997   47  0.6925  0.0047  0.0741  0.0747  0.0643  0.06
Barbosa 1983   8  0.8615  0.016  0.255  0.6126  0.115  0.26
Biret 1990   48  0.6835  0.0048  0.0549  0.0544  0.0652  0.05
Block 1995   22  0.8123  0.0018  0.1213  0.5142  0.0619  0.17
Brailowsky 1960   27  0.7812  0.0124  0.0825  0.1648  0.0624  0.10
Chiu 1999   23  0.8137  0.0022  0.1222  0.2433  0.0721  0.13
Clidat 1994   13  0.8314  0.0112  0.1516  0.4936  0.0618  0.17
Cohen 1997   20  0.8253  0.0023  0.1023  0.2140  0.0623  0.11
Cortot 1951   50  0.6638  0.0049  0.0550  0.0543  0.0748  0.06
Csalog 1996   43  0.7348  0.0043  0.0646  0.0639  0.0749  0.06
Czerny 1990   33  0.7629  0.0029  0.1031  0.1049  0.0633  0.08
Ezaki 2006   12  0.8421  0.0015  0.1417  0.4838  0.0712  0.18
Ferenczy 1958   10  0.857  0.0410  0.178  0.5836  0.079  0.20
Fliere 1977   7  0.866  0.0511  0.169  0.5647  0.0516  0.17
Fou 1978   2  0.894  0.073  0.333  0.6320  0.264  0.40
Francois 1956   44  0.7217  0.0144  0.0547  0.0550  0.0553  0.05
Grinberg 1951   45  0.7145  0.0046  0.0548  0.0548  0.0550  0.05
Hatto 1993   35  0.7531  0.0040  0.0833  0.0846  0.0547  0.06
Hatto 1997   39  0.7526  0.0041  0.0832  0.0846  0.0544  0.06
Indjic 2001   40  0.7432  0.0042  0.0835  0.0846  0.0545  0.06
Jonas 1947   36  0.7511  0.0133  0.1030  0.1047  0.0631  0.08
Kapell 1951   34  0.7610  0.0237  0.0645  0.0637  0.0839  0.07
Kiepura 1999   15  0.825  0.064  0.1715  0.5033  0.0615  0.17
Kushner 1989   49  0.6846  0.0050  0.0742  0.0740  0.0738  0.07
Luisada 1991   41  0.7452  0.0045  0.0743  0.0743  0.0734  0.07
Lushtak 2004   28  0.7827  0.0028  0.0834  0.0827  0.0736  0.07
Magaloff 1978   11  0.8440  0.009  0.167  0.5835  0.0611  0.19
Meguri 1997   42  0.7347  0.0036  0.1128  0.1149  0.0442  0.07
Milkina 1970   4  0.8836  0.008  0.1710  0.5438  0.0613  0.18
Mohovich 1999   37  0.7549  0.0038  0.0839  0.0836  0.0832  0.08
Niedzielski 1931   46  0.7018  0.0135  0.0836  0.0838  0.0737  0.07
Ohlsson 1999   9  0.8650  0.0013  0.1119  0.4450  0.0422  0.13
Olejniczak 1990   25  0.7930  0.0026  0.0726  0.1443  0.0726  0.10
Osinska 1989   3  0.8813  0.015  0.204  0.6138  0.0610  0.19
Rangell 2001   24  0.7942  0.0025  0.0727  0.1445  0.0629  0.09
Richter 1976   5  0.888  0.027  0.256  0.5833  0.088  0.22
Rubinstein 1938   21  0.8241  0.0021  0.1521  0.4026  0.166  0.25
Rubinstein 1952   6  0.871  0.281  0.282  0.652  0.611  0.63
Rubinstein 1961   19  0.8234  0.0019  0.1612  0.5319  0.443  0.48
Rubinstein 1966   14  0.8239  0.0017  0.1511  0.5316  0.502  0.51
Shebanova 2002   1  0.902  0.192  0.221  0.6728  0.087  0.23
Smidowicz 1948   29  0.7824  0.0032  0.0740  0.0740  0.0740  0.07
Smidowicz 1948b   30  0.7822  0.0031  0.0644  0.0640  0.0746  0.06
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sofronitsky 1949   38  0.759  0.0239  0.0838  0.0847  0.0635  0.07
Sztompka 1959   16  0.8216  0.0114  0.1118  0.4637  0.0714  0.18
Tomsic 1995   32  0.7719  0.0130  0.1624  0.1649  0.0528  0.09
Uninsky 1971   26  0.7828  0.0027  0.0837  0.0835  0.0741  0.07
Wasowski 1980   31  0.7733  0.0034  0.1029  0.1036  0.0730  0.08
Average Tempo   17  0.823  0.1116  0.1514  0.5047  0.0617  0.17
Random 1   53  -0.0743  0.0051  0.0351  0.0312  0.2527  0.09
Random 2   51  -0.0151  0.0053  0.0253  0.024  0.4925  0.10
Random 3   52  -0.0544  0.0052  0.0252  0.0226  0.1451  0.05

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).