Rubinstein 1938

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   47  0.0338  0.0047  0.0547  0.0540  0.0545  0.05
Bacha 1997   45  0.1439  0.0046  0.0641  0.0643  0.0635  0.06
Barbosa 1983   36  0.2729  0.0021  0.0923  0.2033  0.0724  0.12
Biret 1990   38  0.2620  0.0025  0.0825  0.1446  0.0529  0.08
Block 1995   4  0.5019  0.005  0.194  0.5920  0.543  0.56
Brailowsky 1960   40  0.2440  0.0040  0.1026  0.1028  0.0826  0.09
Chiu 1999   21  0.3841  0.0024  0.0924  0.1742  0.0625  0.10
Clidat 1994   23  0.3516  0.0128  0.0639  0.0649  0.0543  0.05
Cohen 1997   26  0.3227  0.0034  0.0928  0.0937  0.0728  0.08
Cortot 1951   32  0.307  0.0213  0.1321  0.2426  0.0919  0.15
Csalog 1996   29  0.3135  0.0033  0.0829  0.0840  0.0634  0.07
Czerny 1990   20  0.3823  0.0018  0.1315  0.4346  0.0518  0.15
Ezaki 2006   14  0.4131  0.0015  0.1110  0.4947  0.0515  0.16
Ferenczy 1958   24  0.3421  0.0029  0.0735  0.0734  0.0731  0.07
Fliere 1977   28  0.3124  0.0032  0.0832  0.0838  0.0630  0.07
Fou 1978   6  0.489  0.019  0.129  0.5025  0.176  0.29
Francois 1956   44  0.1742  0.0038  0.0642  0.0648  0.0548  0.05
Grinberg 1951   43  0.1911  0.0144  0.0734  0.0745  0.0637  0.06
Hatto 1993   39  0.2549  0.0041  0.0927  0.0948  0.0532  0.07
Hatto 1997   41  0.2344  0.0042  0.0830  0.0849  0.0436  0.06
Indjic 2001   35  0.2750  0.0037  0.0640  0.0649  0.0544  0.05
Jonas 1947   27  0.3143  0.0030  0.0636  0.0633  0.0738  0.06
Kapell 1951   31  0.306  0.0536  0.0637  0.0631  0.0739  0.06
Kiepura 1999   46  0.1430  0.0045  0.0643  0.0644  0.0540  0.05
Kushner 1989   19  0.3922  0.0020  0.1019  0.3243  0.0623  0.14
Luisada 1991   25  0.3232  0.0026  0.0545  0.0545  0.0541  0.05
Lushtak 2004   11  0.4314  0.0117  0.1117  0.4035  0.1011  0.20
Magaloff 1978   33  0.282  0.117  0.1018  0.3234  0.0717  0.15
Meguri 1997   37  0.2651  0.0039  0.0831  0.0841  0.0633  0.07
Milkina 1970   5  0.4815  0.014  0.185  0.5933  0.097  0.23
Mohovich 1999   12  0.4236  0.0016  0.1112  0.4646  0.0614  0.17
Niedzielski 1931   48  0.0345  0.0049  0.0449  0.0448  0.0550  0.04
Ohlsson 1999   17  0.3910  0.0112  0.1214  0.4345  0.0616  0.16
Olejniczak 1990   34  0.2718  0.0035  0.0644  0.0649  0.0447  0.05
Osinska 1989   7  0.4525  0.0010  0.117  0.5646  0.0612  0.18
Rangell 2001   9  0.4513  0.016  0.238  0.5423  0.365  0.44
Richter 1976   22  0.3628  0.0027  0.0546  0.0541  0.0646  0.05
Rubinstein 1938   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   3  0.524  0.063  0.343  0.6819  0.444  0.55
Rubinstein 1961   1  0.601  0.491  0.481  0.7315  0.591  0.66
Rubinstein 1966   2  0.565  0.052  0.372  0.7121  0.502  0.60
Shebanova 2002   30  0.3117  0.0131  0.0733  0.0749  0.0442  0.05
Smidowicz 1948   16  0.4046  0.0022  0.0920  0.2423  0.239  0.23
Smidowicz 1948b   15  0.4047  0.0023  0.1122  0.2223  0.258  0.23
Smith 1975   42  0.2234  0.0043  0.0638  0.0626  0.1027  0.08
Sofronitsky 1949   50  0.0348  0.0050  0.0448  0.0448  0.0449  0.04
Sztompka 1959   8  0.453  0.068  0.1116  0.4232  0.0813  0.18
Tomsic 1995   10  0.4412  0.0111  0.126  0.5935  0.0810  0.22
Uninsky 1971   18  0.398  0.0219  0.1813  0.4545  0.0520  0.15
Wasowski 1980   13  0.4133  0.0014  0.1011  0.4749  0.0421  0.14
Random 1   49  0.0326  0.0048  0.0450  0.044  0.5122  0.14
Random 2   51  -0.0137  0.0052  0.0252  0.0246  0.0352  0.02
Random 3   52  -0.0452  0.0051  0.0351  0.0342  0.0551  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).