Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.6843  0.0041  0.0540  0.1319  0.3043  0.20
Anderszewski 2003   20  0.7228  0.0111  0.089  0.333  0.576  0.43
Ashkenazy 1981   25  0.715  0.054  0.087  0.3511  0.459  0.40
Bacha 2000   77  0.4389  0.0081  0.0367  0.0358  0.0482  0.03
Badura 1965   52  0.6066  0.0052  0.0548  0.0513  0.4148  0.14
Barbosa 1983   50  0.6152  0.0058  0.0549  0.0527  0.3249  0.13
Biret 1990   37  0.6829  0.0138  0.0530  0.208  0.4332  0.29
Blet 2003   13  0.732  0.102  0.101  0.453  0.541  0.49
Block 1995   49  0.6240  0.0048  0.0458  0.043  0.4253  0.13
Blumental 1952   75  0.456  0.049  0.0838  0.1710  0.3539  0.24
Boshniakovich 1969   47  0.6385  0.0051  0.0453  0.0422  0.2664  0.10
Brailowsky 1960   48  0.6326  0.0166  0.0372  0.0338  0.1370  0.06
Bunin 1987   17  0.7337  0.0032  0.0521  0.268  0.4619  0.35
Bunin 1987b   18  0.7380  0.0033  0.0622  0.268  0.4616  0.35
Chiu 1999   62  0.5572  0.0073  0.0373  0.0342  0.1171  0.06
Cohen 1997   81  0.3858  0.0079  0.0379  0.0329  0.2566  0.09
Cortot 1951   43  0.6611  0.0210  0.0828  0.236  0.5023  0.34
Csalog 1996   84  0.2979  0.0087  0.0286  0.0268  0.0388  0.02
Czerny 1949   10  0.7434  0.0018  0.0413  0.3011  0.4913  0.38
Czerny 1990   3  0.7753  0.0025  0.0512  0.3013  0.3922  0.34
Duchoud 2007   35  0.6859  0.0029  0.0516  0.2814  0.4418  0.35
Ezaki 2006   1  0.841  0.201  0.203  0.438  0.513  0.47
Falvay 1989   31  0.703  0.0712  0.0633  0.1921  0.3137  0.24
Farrell 1958   44  0.6656  0.0046  0.0552  0.052  0.5845  0.17
Ferenczy 1958   36  0.687  0.0317  0.0535  0.194  0.5624  0.33
Fliere 1977   2  0.7744  0.0023  0.0619  0.2620  0.3033  0.28
Fou 1978   59  0.5833  0.0156  0.0454  0.0439  0.1867  0.08
Francois 1956   29  0.7014  0.027  0.0829  0.2214  0.3335  0.27
Friedman 1923   86  0.2273  0.0071  0.0378  0.0315  0.4362  0.11
Friedman 1923b   85  0.2282  0.0070  0.0368  0.0315  0.4260  0.11
Friedman 1930   70  0.5042  0.0049  0.0456  0.048  0.4550  0.13
Garcia 2007   74  0.4584  0.0082  0.0370  0.0310  0.4059  0.11
Garcia 2007b   83  0.3670  0.0080  0.0381  0.034  0.4461  0.11
Gierzod 1998   24  0.7110  0.0313  0.0723  0.265  0.4026  0.32
Gornostaeva 1994   4  0.774  0.058  0.1011  0.315  0.5012  0.39
Groot 1988   32  0.6935  0.0031  0.0531  0.2022  0.3040  0.24
Harasiewicz 1955   11  0.7419  0.016  0.096  0.376  0.4410  0.40
Hatto 1993   82  0.3849  0.0069  0.0465  0.0416  0.3557  0.12
Hatto 1997   76  0.4569  0.0047  0.0551  0.0513  0.4047  0.14
Horowitz 1949   73  0.4664  0.0084  0.0463  0.0474  0.0387  0.03
Indjic 1988   80  0.3865  0.0068  0.0283  0.0215  0.3965  0.09
Kapell 1951   16  0.7321  0.0116  0.0614  0.297  0.5211  0.39
Kissin 1993   40  0.6736  0.0054  0.0366  0.0340  0.1769  0.07
Kushner 1989   15  0.7346  0.0035  0.0636  0.1914  0.3734  0.27
Luisada 1991   22  0.7138  0.0044  0.0544  0.1012  0.4042  0.20
Lushtak 2004   19  0.728  0.035  0.102  0.434  0.562  0.49
Malcuzynski 1961   8  0.7432  0.0122  0.0415  0.2915  0.4217  0.35
Magaloff 1978   26  0.7113  0.0219  0.0424  0.2617  0.4025  0.32
Magin 1975   57  0.5886  0.0072  0.0282  0.0232  0.2072  0.06
Michalowski 1933   53  0.5950  0.0027  0.0625  0.2512  0.4521  0.34
Milkina 1970   55  0.5951  0.0065  0.0377  0.0356  0.0577  0.04
Mohovich 1999   6  0.7439  0.0020  0.0420  0.2623  0.3331  0.29
Moravec 1969   65  0.5578  0.0076  0.0284  0.0245  0.0583  0.03
Morozova 2008   30  0.7081  0.0036  0.0632  0.207  0.3536  0.26
Neighaus 1950   21  0.729  0.033  0.094  0.427  0.524  0.47
Niedzielski 1931   79  0.4267  0.0085  0.0371  0.0345  0.0576  0.04
Ohlsson 1999   38  0.6861  0.0043  0.0542  0.1118  0.3144  0.18
Osinska 1989   5  0.7423  0.0134  0.0618  0.264  0.5314  0.37
Pachmann 1927   78  0.4260  0.0078  0.0375  0.0353  0.0580  0.04
Paderewski 1930   27  0.7041  0.0039  0.0539  0.161  0.5529  0.30
Perlemuter 1992   9  0.7455  0.0030  0.0526  0.257  0.4520  0.34
Pierdomenico 2008   28  0.7048  0.0053  0.0550  0.0526  0.2658  0.11
Poblocka 1999   34  0.6920  0.0114  0.0610  0.328  0.497  0.40
Rabcewiczowa 1932   33  0.6922  0.0142  0.0543  0.116  0.4841  0.23
Rachmaninoff 1923   66  0.5474  0.0062  0.0646  0.0631  0.1863  0.10
Rangell 2001   61  0.5725  0.0150  0.0462  0.0450  0.0675  0.05
Richter 1976   56  0.5890  0.0077  0.0374  0.0349  0.0579  0.04
Rosen 1989   42  0.6716  0.0240  0.0641  0.1210  0.5038  0.24
Rosenthal 1930   46  0.6454  0.0055  0.0459  0.0415  0.4452  0.13
Rosenthal 1931   58  0.5847  0.0057  0.0645  0.068  0.5046  0.17
Rosenthal 1931b   68  0.5345  0.0059  0.0461  0.0410  0.4254  0.13
Rosenthal 1931c   45  0.6527  0.0137  0.0537  0.186  0.5827  0.32
Rosenthal 1931d   67  0.5357  0.0060  0.0457  0.0411  0.3856  0.12
Rossi 2007   63  0.5563  0.0063  0.0455  0.045  0.3555  0.12
Rubinstein 1939   87  0.2075  0.0088  0.0287  0.0253  0.0585  0.03
Rubinstein 1952   71  0.4868  0.0064  0.0380  0.0351  0.0681  0.04
Rubinstein 1966   69  0.5330  0.0175  0.0376  0.0329  0.2468  0.08
Schilhawsky 1960   23  0.7112  0.0215  0.058  0.346  0.478  0.40
Shebanova 2002   54  0.5983  0.0067  0.0460  0.0453  0.0674  0.05
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   7  0.7415  0.0226  0.0617  0.277  0.4615  0.35
Sztompka 1959   14  0.7324  0.0124  0.055  0.382  0.545  0.45
Tomsic 1995   12  0.7331  0.0121  0.0527  0.2415  0.3828  0.30
Uninsky 1932   51  0.6118  0.0245  0.0547  0.0526  0.3351  0.13
Uninsky 1971   41  0.6717  0.0228  0.0534  0.1912  0.4530  0.29
Wasowski 1980   72  0.4871  0.0083  0.0369  0.0361  0.0484  0.03
Zak 1937   64  0.5576  0.0074  0.0285  0.0246  0.0686  0.03
Zak 1951   60  0.5877  0.0061  0.0464  0.0460  0.0578  0.04
Random 1   89  -0.1062  0.0090  0.0190  0.0175  0.0390  0.02
Random 2   90  -0.1687  0.0089  0.0289  0.0274  0.0289  0.02
Random 3   88  0.0588  0.0086  0.0288  0.0232  0.1673  0.06

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).