Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7322  0.0022  0.1018  0.3232  0.1612  0.23
Ashkenazy 1981   28  0.6916  0.0043  0.0643  0.0640  0.0741  0.06
Beliavsky 2004   30  0.6926  0.0020  0.1023  0.2545  0.0523  0.11
BenOr 1989   23  0.7044  0.0034  0.0737  0.0754  0.0542  0.06
Biret 1990   14  0.765  0.028  0.1610  0.5018  0.304  0.39
Blet 2003   42  0.6745  0.0027  0.0825  0.1763  0.0430  0.08
Block 1995   60  0.5530  0.0060  0.0364  0.0350  0.0660  0.04
Brailowsky 1960   13  0.7642  0.0014  0.1115  0.3543  0.0617  0.14
Chiu 1999   63  0.5046  0.0063  0.0645  0.0650  0.0544  0.05
Clidat 1994   25  0.7012  0.0126  0.0724  0.2361  0.0525  0.11
Cohen 1997   57  0.5620  0.0045  0.0639  0.0618  0.2822  0.13
Coop 1987   56  0.5836  0.0057  0.0647  0.0656  0.0449  0.05
Cortot 1951   49  0.6159  0.0049  0.0641  0.0653  0.0456  0.05
Czerny 1949   24  0.7025  0.0025  0.0630  0.1456  0.0532  0.08
Czerny 1949b   27  0.6915  0.0040  0.0552  0.0547  0.0547  0.05
Ezaki 2006   53  0.5928  0.0052  0.0455  0.0454  0.0557  0.04
Falvay 1989   62  0.5352  0.0062  0.0458  0.0452  0.0645  0.05
Ferenczy 1958   54  0.5865  0.0038  0.0551  0.0548  0.0550  0.05
Fiorentino 1962   37  0.6747  0.0042  0.0640  0.0661  0.0455  0.05
Fliere 1977   15  0.7418  0.0018  0.0916  0.3344  0.0616  0.14
Fou 1978   43  0.6610  0.0139  0.0835  0.0855  0.0537  0.06
Francois 1956   21  0.7151  0.0021  0.1022  0.2756  0.0427  0.10
Hatto 1997   35  0.6854  0.0029  0.0728  0.1763  0.0431  0.08
Horowitz 1971   10  0.7723  0.0013  0.219  0.5028  0.197  0.31
Horowitz 1985   6  0.7924  0.0012  0.1812  0.464  0.603  0.53
Indjic 2001   34  0.6833  0.0028  0.0627  0.1761  0.0433  0.08
Kapell 1951   50  0.6037  0.0056  0.0553  0.0554  0.0548  0.05
Kiepura 1999   33  0.6817  0.0044  0.0644  0.0641  0.0635  0.06
Kilenyi 1937   51  0.5964  0.0055  0.0361  0.0358  0.0464  0.03
Kissin 1993   38  0.679  0.0116  0.0914  0.3854  0.0519  0.14
Kitain 1937   58  0.5619  0.0036  0.0649  0.0616  0.3815  0.15
Kushner 1990   5  0.8021  0.006  0.247  0.5744  0.0514  0.17
Levy 1951   45  0.6541  0.0046  0.0836  0.0845  0.0436  0.06
Luisada 1990   26  0.7035  0.0032  0.0532  0.1062  0.0353  0.05
Lushtak 2004   32  0.6827  0.0030  0.0826  0.1743  0.0626  0.10
Lympany 1968   19  0.7111  0.0123  0.0920  0.3039  0.0620  0.13
Magaloff 1977   41  0.6758  0.0048  0.0933  0.0958  0.0438  0.06
Magaloff 1977b   40  0.6734  0.0047  0.0834  0.0860  0.0440  0.06
Magin 1975   48  0.6250  0.0053  0.0454  0.0458  0.0559  0.04
Milkina 1970   2  0.813  0.033  0.275  0.6120  0.225  0.37
Mohovich 1999   7  0.7931  0.004  0.194  0.6333  0.1010  0.25
Nadelmann 1956   8  0.7913  0.0010  0.1313  0.4524  0.266  0.34
Ohlsson 1999   59  0.5539  0.0059  0.0362  0.0363  0.0463  0.03
Olejniczac 1990   36  0.6832  0.0041  0.0646  0.0662  0.0451  0.05
Olejniczak 1991   31  0.6840  0.0037  0.0550  0.0557  0.0546  0.05
Osinska 1989   4  0.8014  0.005  0.182  0.6739  0.0811  0.23
Paderewski 1912   29  0.6957  0.0035  0.0648  0.0658  0.0452  0.05
Perahia 1994   11  0.764  0.022  0.196  0.594  0.592  0.59
Perlemuter 1986   17  0.738  0.0119  0.0917  0.3348  0.0521  0.13
Poblocka 1999   46  0.6238  0.0054  0.0459  0.0452  0.0643  0.05
Rangell 2001   55  0.5848  0.0058  0.0456  0.0450  0.0561  0.04
Risler 1920   52  0.5943  0.0051  0.0457  0.0462  0.0458  0.04
Rosen 1989   47  0.6255  0.0050  0.0642  0.0658  0.0454  0.05
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   3  0.817  0.029  0.158  0.5631  0.148  0.28
Rubinstein 1966   1  0.881  0.741  0.731  0.883  0.731  0.80
Rummel 1943   39  0.6749  0.0033  0.0738  0.0735  0.0639  0.06
Shebanova 2002   22  0.706  0.0217  0.1021  0.2857  0.0424  0.11
Smith 1975   9  0.7856  0.0011  0.1211  0.4960  0.0418  0.14
Szpilman 1948   18  0.7253  0.0024  0.0629  0.1545  0.0528  0.09
Uninsky 1971   44  0.6663  0.0031  0.0631  0.1245  0.0629  0.08
Wasowski 1980   20  0.7129  0.0015  0.0919  0.3123  0.219  0.26
Weissenberg 1971   61  0.5460  0.0061  0.0363  0.0363  0.0362  0.03
Average   12  0.762  0.057  0.143  0.6754  0.0513  0.18
Random 1    65  -0.1061  0.0065  0.0265  0.0216  0.2634  0.07
Random 2   64  0.0562  0.0064  0.0460  0.0453  0.0365  0.03
Random 3   66  -0.1166  0.0066  0.0166  0.0139  0.0466  0.02

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).