Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3128  0.0060  0.0455  0.0453  0.0562  0.04
Ashkenazy 1981   61  0.2851  0.0059  0.0360  0.0351  0.0663  0.04
Beliavsky 2004   58  0.2944  0.0056  0.0363  0.0354  0.0560  0.04
BenOr 1989   2  0.513  0.104  0.173  0.6218  0.574  0.59
Biret 1990   18  0.4326  0.0024  0.0718  0.3346  0.0637  0.14
Blet 2003   5  0.485  0.072  0.165  0.5815  0.565  0.57
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   6  0.4629  0.006  0.226  0.5821  0.506  0.54
Chiu 1999   21  0.4215  0.0117  0.0817  0.3410  0.5114  0.42
Clidat 1994   24  0.4214  0.0120  0.0821  0.2725  0.2419  0.25
Cohen 1997   55  0.3135  0.0054  0.0739  0.0717  0.4624  0.18
Coop 1987   20  0.4256  0.0021  0.0816  0.3539  0.0730  0.16
Cortot 1951   51  0.3233  0.0062  0.0549  0.0527  0.2840  0.12
Czerny 1949   19  0.4257  0.0014  0.1010  0.4919  0.3813  0.43
Czerny 1949b   34  0.3965  0.0040  0.0834  0.0826  0.3032  0.15
Ezaki 2006   35  0.3948  0.0039  0.0736  0.0732  0.2638  0.13
Falvay 1989   32  0.3943  0.0026  0.0824  0.2248  0.0542  0.10
Ferenczy 1958   28  0.4160  0.0027  0.0628  0.1629  0.2922  0.22
Fiorentino 1962   33  0.3917  0.0113  0.1512  0.4118  0.4712  0.44
Fliere 1977   60  0.2959  0.0061  0.0457  0.0460  0.0459  0.04
Fou 1978   29  0.4134  0.0038  0.0738  0.0728  0.3529  0.16
Francois 1956   56  0.3052  0.0057  0.0458  0.0440  0.0658  0.05
Hatto 1997   22  0.4232  0.0037  0.1033  0.1029  0.2036  0.14
Horowitz 1971   13  0.4323  0.0019  0.0922  0.2617  0.3717  0.31
Horowitz 1985   15  0.434  0.077  0.178  0.544  0.643  0.59
Indjic 2001   23  0.427  0.0436  0.0647  0.0642  0.0851  0.07
Kapell 1951   43  0.3753  0.0046  0.0552  0.0533  0.1049  0.07
Kiepura 1999   3  0.4910  0.023  0.171  0.648  0.601  0.62
Kilenyi 1937   53  0.3154  0.0044  0.0835  0.0841  0.0847  0.08
Kissin 1993   14  0.4321  0.0035  0.0643  0.0625  0.3535  0.14
Kitain 1937   62  0.2563  0.0058  0.0362  0.0341  0.0857  0.05
Kushner 1990   40  0.3861  0.0042  0.0737  0.0736  0.0946  0.08
Levy 1951   59  0.2940  0.0055  0.0454  0.0438  0.0753  0.05
Luisada 1990   30  0.4146  0.0018  0.0914  0.3813  0.5411  0.45
Lushtak 2004   12  0.4318  0.0123  0.0719  0.3332  0.1620  0.23
Lympany 1968   38  0.3812  0.0229  0.0630  0.1330  0.2125  0.17
Magaloff 1977   31  0.4016  0.0133  0.0642  0.065  0.4927  0.17
Magaloff 1977b   44  0.3638  0.0045  0.0644  0.0612  0.3734  0.15
Magin 1975   10  0.4422  0.009  0.167  0.5523  0.419  0.47
Milkina 1970   27  0.419  0.0232  0.0632  0.1152  0.0550  0.07
Mohovich 1999   48  0.3542  0.0052  0.0646  0.0631  0.1744  0.10
Nadelmann 1956   16  0.4350  0.0011  0.1215  0.3635  0.0826  0.17
Ohlsson 1999   41  0.3836  0.0041  0.0648  0.0652  0.0555  0.05
Olejniczac 1990   37  0.386  0.0512  0.1413  0.3822  0.4315  0.40
Olejniczak 1991   36  0.3839  0.0022  0.0826  0.1821  0.2821  0.22
Osinska 1989   1  0.532  0.125  0.242  0.6427  0.407  0.51
Paderewski 1912   57  0.2925  0.0050  0.0359  0.0339  0.0756  0.05
Perahia 1994   8  0.4431  0.0031  0.0631  0.1340  0.0843  0.10
Perlemuter 1986   47  0.3547  0.0048  0.0456  0.0455  0.0561  0.04
Poblocka 1999   26  0.4145  0.0028  0.0627  0.1730  0.1923  0.18
Rangell 2001   46  0.3520  0.0153  0.0740  0.0733  0.0852  0.07
Risler 1920   42  0.3862  0.0025  0.0823  0.237  0.5216  0.35
Rosen 1989   49  0.3458  0.0043  0.0645  0.0626  0.5028  0.17
Rubinstein 1939   39  0.3841  0.0034  0.0741  0.0734  0.0848  0.07
Rubinstein 1952   4  0.491  0.281  0.284  0.607  0.612  0.60
Rubinstein 1966   11  0.4337  0.0015  0.1120  0.3235  0.0831  0.16
Rummel 1943   52  0.3130  0.0051  0.0550  0.0529  0.1545  0.09
Shebanova 2002   7  0.4513  0.018  0.149  0.5123  0.4310  0.47
Smith 1975   45  0.3555  0.0049  0.0551  0.0554  0.0554  0.05
Szpilman 1948   50  0.3424  0.0047  0.0553  0.0528  0.2739  0.12
Uninsky 1971   9  0.4411  0.0210  0.1511  0.4610  0.578  0.51
Wasowski 1980   17  0.438  0.0416  0.1025  0.2119  0.3518  0.27
Weissenberg 1971   25  0.4119  0.0130  0.0629  0.1328  0.1733  0.15
Random 1    64  0.0064  0.0064  0.0264  0.0247  0.0464  0.03
Random 2   63  0.0227  0.0063  0.0361  0.0312  0.4041  0.11
Random 3   65  -0.0349  0.0065  0.0265  0.0253  0.0365  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).