Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5849  0.0037  0.0733  0.2360  0.0550  0.11
Anderszewski 2003   11  0.6227  0.0114  0.0923  0.3239  0.2221  0.27
Ashkenazy 1981   24  0.5832  0.0024  0.0721  0.3326  0.3019  0.31
Bacha 2000   58  0.5047  0.0048  0.0648  0.0619  0.3630  0.15
Badura 1965   73  0.4533  0.0081  0.0380  0.0360  0.0579  0.04
Barbosa 1983   41  0.5437  0.0017  0.0822  0.3224  0.4410  0.38
Biret 1990   27  0.579  0.0213  0.0911  0.4329  0.2515  0.33
Blet 2003   49  0.5252  0.0067  0.0472  0.0441  0.1159  0.07
Block 1995   67  0.4865  0.0055  0.0465  0.0438  0.1657  0.08
Blumental 1952   23  0.5815  0.018  0.158  0.5315  0.377  0.44
Boshniakovich 1969   15  0.6121  0.0115  0.0918  0.3539  0.1922  0.26
Brailowsky 1960   7  0.646  0.039  0.187  0.542  0.771  0.64
Bunin 1987   86  0.3087  0.0086  0.0460  0.0471  0.0480  0.04
Bunin 1987b   87  0.2982  0.0087  0.0467  0.0478  0.0385  0.03
Chiu 1999   62  0.4988  0.0061  0.0471  0.0455  0.0569  0.04
Cohen 1997   84  0.3783  0.0082  0.0386  0.0335  0.1561  0.07
Cortot 1951   78  0.4366  0.0079  0.0382  0.0363  0.0582  0.04
Csalog 1996   74  0.4314  0.0159  0.0474  0.0444  0.1158  0.07
Czerny 1949   36  0.554  0.0427  0.0634  0.2356  0.0646  0.12
Czerny 1990   6  0.658  0.025  0.144  0.5625  0.416  0.48
Duchoud 2007   81  0.4268  0.0076  0.0384  0.0350  0.0678  0.04
Ezaki 2006   10  0.6311  0.0118  0.0724  0.3137  0.2023  0.25
Falvay 1989   16  0.6028  0.0028  0.0631  0.2522  0.4614  0.34
Farrell 1958   51  0.5189  0.0032  0.0530  0.2543  0.1724  0.21
Ferenczy 1958   39  0.5423  0.0153  0.0554  0.0518  0.4236  0.14
Fliere 1977   1  0.702  0.252  0.361  0.7323  0.355  0.51
Fou 1978   25  0.5838  0.0030  0.0526  0.2963  0.0543  0.12
Francois 1956   69  0.4790  0.0073  0.0553  0.0553  0.0567  0.05
Friedman 1923   45  0.5346  0.0054  0.0649  0.0635  0.3041  0.13
Friedman 1923b   44  0.5418  0.0150  0.0466  0.0433  0.3547  0.12
Friedman 1930   35  0.5534  0.0051  0.0557  0.0530  0.3835  0.14
Garcia 2007   79  0.4248  0.0083  0.0476  0.0483  0.0388  0.03
Garcia 2007b   53  0.5150  0.0049  0.0464  0.0450  0.0583  0.04
Gierzod 1998   3  0.6712  0.016  0.123  0.6138  0.2212  0.37
Gornostaeva 1994   5  0.6610  0.017  0.156  0.555  0.612  0.58
Groot 1988   47  0.5322  0.0121  0.0719  0.3424  0.3018  0.32
Harasiewicz 1955   13  0.6139  0.0016  0.1013  0.4255  0.0538  0.14
Hatto 1993   37  0.5570  0.0042  0.0740  0.1745  0.0848  0.12
Hatto 1997   34  0.5576  0.0046  0.0845  0.0854  0.0660  0.07
Horowitz 1949   75  0.4374  0.0080  0.0385  0.0358  0.0671  0.04
Indjic 1988   33  0.5645  0.0041  0.0737  0.2045  0.0745  0.12
Kapell 1951   38  0.5431  0.0043  0.0741  0.1659  0.0555  0.09
Kissin 1993   19  0.5929  0.0038  0.0638  0.1951  0.0649  0.11
Kushner 1989   14  0.6113  0.0119  0.0814  0.4050  0.0631  0.15
Luisada 1991   9  0.645  0.034  0.145  0.567  0.543  0.55
Lushtak 2004   43  0.5454  0.0031  0.0536  0.2155  0.0554  0.10
Malcuzynski 1961   71  0.4684  0.0077  0.0378  0.0363  0.0486  0.03
Magaloff 1978   28  0.573  0.0610  0.1017  0.3611  0.439  0.39
Magin 1975   2  0.691  0.281  0.282  0.6522  0.434  0.53
Michalowski 1933   63  0.4871  0.0075  0.0387  0.0348  0.0865  0.05
Milkina 1970   12  0.6117  0.0112  0.1010  0.4440  0.2317  0.32
Mohovich 1999   29  0.5758  0.0044  0.0743  0.1440  0.1633  0.15
Moravec 1969   52  0.5140  0.0060  0.0459  0.0420  0.4339  0.13
Morozova 2008   59  0.4980  0.0066  0.0377  0.0360  0.0576  0.04
Neighaus 1950   42  0.5436  0.0036  0.0539  0.1733  0.2325  0.20
Niedzielski 1931   66  0.4860  0.0058  0.0379  0.0363  0.0484  0.03
Ohlsson 1999   46  0.5335  0.0047  0.0747  0.0760  0.0563  0.06
Osinska 1989   8  0.6451  0.0011  0.109  0.4737  0.2216  0.32
Pachmann 1927   83  0.3985  0.0085  0.0383  0.0366  0.0387  0.03
Paderewski 1930   85  0.3756  0.0084  0.0552  0.0550  0.0473  0.04
Perlemuter 1992   68  0.4886  0.0069  0.0463  0.0450  0.0568  0.04
Pierdomenico 2008   76  0.4372  0.0074  0.0381  0.0356  0.0570  0.04
Poblocka 1999   32  0.5630  0.0045  0.0846  0.0864  0.0562  0.06
Rabcewiczowa 1932   70  0.4741  0.0035  0.0642  0.1647  0.0652  0.10
Rachmaninoff 1923   31  0.5653  0.0034  0.0529  0.2643  0.1226  0.18
Rangell 2001   82  0.4179  0.0078  0.0470  0.0455  0.0581  0.04
Richter 1976   77  0.4324  0.0156  0.0475  0.0454  0.0572  0.04
Rosen 1989   4  0.667  0.023  0.1112  0.4217  0.408  0.41
Rosenthal 1930   55  0.5042  0.0063  0.0473  0.0419  0.4937  0.14
Rosenthal 1931   61  0.4959  0.0068  0.0461  0.0416  0.5034  0.14
Rosenthal 1931b   60  0.4978  0.0065  0.0556  0.0514  0.5329  0.16
Rosenthal 1931c   50  0.5257  0.0052  0.0555  0.0513  0.5727  0.17
Rosenthal 1931d   57  0.5062  0.0064  0.0468  0.049  0.6128  0.16
Rossi 2007   72  0.4563  0.0062  0.0469  0.0437  0.2451  0.10
Rubinstein 1939   40  0.5426  0.0129  0.0532  0.2427  0.3420  0.29
Rubinstein 1952   48  0.5325  0.0123  0.0920  0.3326  0.3713  0.35
Rubinstein 1966   17  0.6016  0.0122  0.0815  0.3929  0.3611  0.37
Schilhawsky 1960   54  0.5019  0.0170  0.0550  0.0571  0.0475  0.04
Shebanova 2002   26  0.5769  0.0033  0.0627  0.2773  0.0453  0.10
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   64  0.4855  0.0040  0.0744  0.1350  0.0556  0.08
Sztompka 1959   18  0.5981  0.0020  0.1016  0.3752  0.0632  0.15
Tomsic 1995   80  0.4264  0.0057  0.0558  0.0557  0.0664  0.05
Uninsky 1932   65  0.4875  0.0072  0.0462  0.0456  0.0577  0.04
Uninsky 1971   56  0.5044  0.0071  0.0551  0.0573  0.0474  0.04
Wasowski 1980   30  0.5761  0.0039  0.0735  0.2149  0.0742  0.12
Zak 1937   21  0.5920  0.0126  0.0628  0.2761  0.0544  0.12
Zak 1951   20  0.5943  0.0025  0.0725  0.3054  0.0640  0.13
Random 1   89  -0.0977  0.0089  0.0289  0.0240  0.1266  0.05
Random 2   90  -0.1573  0.0090  0.0190  0.0189  0.0190  0.01
Random 3   88  -0.0467  0.0088  0.0288  0.0246  0.0589  0.03

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).