Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.383  0.114  0.1221  0.257  0.589  0.38
Ashkenazy 1981   37  0.3738  0.0044  0.0545  0.0530  0.1540  0.09
Beliavsky 2004   62  0.2061  0.0060  0.0458  0.0449  0.0656  0.05
BenOr 1989   25  0.3927  0.0024  0.0732  0.1247  0.0741  0.09
Biret 1990   47  0.3547  0.0039  0.0636  0.0654  0.0561  0.05
Blet 2003   51  0.3323  0.0043  0.0547  0.0549  0.0557  0.05
Block 1995   46  0.3555  0.0047  0.0554  0.0551  0.0558  0.05
Brailowsky 1960   9  0.4449  0.0031  0.0630  0.1336  0.1035  0.11
Chiu 1999   35  0.3735  0.0046  0.0544  0.0545  0.0553  0.05
Clidat 1994   21  0.4048  0.009  0.119  0.3416  0.3610  0.35
Cohen 1997   61  0.2118  0.0062  0.0543  0.0546  0.0660  0.05
Coop 1987   5  0.466  0.023  0.222  0.4621  0.433  0.44
Cortot 1951   41  0.3617  0.0035  0.0638  0.068  0.6125  0.19
Czerny 1949   7  0.455  0.0213  0.0916  0.2924  0.2917  0.29
Czerny 1949b   39  0.3613  0.0145  0.0641  0.0641  0.0643  0.06
Ezaki 2006   52  0.3229  0.0054  0.0460  0.0450  0.0650  0.05
Falvay 1989   19  0.4039  0.0033  0.0642  0.0639  0.0642  0.06
Ferenczy 1958   53  0.3153  0.0041  0.0548  0.0545  0.0745  0.06
Fiorentino 1962   28  0.3941  0.0023  0.0920  0.2625  0.3713  0.31
Fliere 1977   54  0.3142  0.0049  0.0459  0.0439  0.0651  0.05
Fou 1978   42  0.3651  0.0051  0.0549  0.0543  0.0744  0.06
Francois 1956   27  0.398  0.0136  0.0640  0.0626  0.2434  0.12
Hatto 1997   29  0.3919  0.0018  0.0717  0.2824  0.3512  0.31
Horowitz 1971   8  0.4537  0.0014  0.0915  0.3021  0.3511  0.32
Horowitz 1985   18  0.4110  0.0125  0.0724  0.2016  0.3422  0.26
Indjic 2001   32  0.3850  0.0021  0.0919  0.2625  0.3318  0.29
Kapell 1951   60  0.2463  0.0059  0.0457  0.0461  0.0364  0.03
Kiepura 1999   14  0.4316  0.0130  0.0629  0.1324  0.2326  0.17
Kilenyi 1937   12  0.4330  0.0037  0.0933  0.0926  0.2630  0.15
Kissin 1993   10  0.4411  0.0119  0.0713  0.3016  0.536  0.40
Kitain 1937   55  0.294  0.0527  0.0728  0.149  0.5121  0.27
Kushner 1990   59  0.2460  0.0057  0.0455  0.0460  0.0463  0.04
Levy 1951   20  0.4032  0.0010  0.0911  0.3313  0.468  0.39
Luisada 1990   26  0.3915  0.0126  0.0725  0.1622  0.2924  0.22
Lushtak 2004   33  0.3828  0.0020  0.0722  0.2523  0.2123  0.23
Lympany 1968   17  0.4131  0.0034  0.0637  0.0619  0.4527  0.16
Magaloff 1977   45  0.3554  0.0052  0.0635  0.0625  0.2932  0.13
Magaloff 1977b   50  0.3352  0.0053  0.0550  0.0528  0.1938  0.10
Magin 1975   49  0.3446  0.0050  0.0553  0.0546  0.0554  0.05
Milkina 1970   24  0.3924  0.007  0.135  0.3831  0.1920  0.27
Mohovich 1999   56  0.2758  0.0056  0.0551  0.0548  0.0559  0.05
Nadelmann 1956   22  0.4057  0.0029  0.0726  0.1646  0.0637  0.10
Ohlsson 1999   40  0.3612  0.0128  0.0727  0.1535  0.0639  0.09
Olejniczac 1990   44  0.3559  0.0042  0.0546  0.0541  0.0847  0.06
Olejniczak 1991   31  0.3864  0.0038  0.0734  0.0727  0.2133  0.12
Osinska 1989   6  0.4620  0.0022  0.0918  0.2634  0.0929  0.15
Paderewski 1912   15  0.437  0.0215  0.0710  0.334  0.497  0.40
Perahia 1994   1  0.511  0.421  0.421  0.648  0.631  0.63
Perlemuter 1986   4  0.4740  0.0011  0.086  0.3527  0.2219  0.28
Poblocka 1999   3  0.4714  0.0112  0.0823  0.2519  0.3715  0.30
Rangell 2001   48  0.3433  0.0055  0.0552  0.0535  0.0749  0.06
Risler 1920   43  0.3522  0.0048  0.0362  0.0342  0.0662  0.04
Rosen 1989   57  0.2756  0.0058  0.0456  0.0443  0.0948  0.06
Rubinstein 1939   23  0.3921  0.0017  0.0812  0.3124  0.2816  0.29
Rubinstein 1952   34  0.379  0.016  0.108  0.3428  0.2814  0.31
Rubinstein 1966   38  0.3636  0.0016  0.0714  0.3045  0.0631  0.13
Rummel 1943   2  0.502  0.202  0.247  0.355  0.535  0.43
Shebanova 2002   36  0.3744  0.0040  0.0639  0.0647  0.0646  0.06
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Szpilman 1948   58  0.2762  0.0061  0.0461  0.0449  0.0652  0.05
Uninsky 1971   16  0.4126  0.008  0.153  0.4611  0.542  0.50
Wasowski 1980   13  0.4325  0.0032  0.0631  0.1229  0.2028  0.15
Weissenberg 1971   11  0.4334  0.005  0.104  0.429  0.444  0.43
Random 1    64  -0.0245  0.0064  0.0264  0.0231  0.1355  0.05
Random 2   65  -0.0565  0.0065  0.0265  0.0262  0.0365  0.02
Random 3   63  0.0643  0.0063  0.0363  0.036  0.4436  0.11

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).