Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.3059  0.0030  0.1130  0.3760  0.0436  0.12
Anderszewski 2003   73  0.2188  0.0074  0.0380  0.0385  0.0374  0.03
Ashkenazy 1981   4  0.444  0.083  0.182  0.7121  0.514  0.60
Bacha 2000   76  0.1950  0.0064  0.0464  0.0469  0.0453  0.04
Badura 1965   78  0.1930  0.0075  0.0374  0.0369  0.0377  0.03
Barbosa 1983   26  0.3528  0.0023  0.1023  0.5054  0.0718  0.19
Biret 1990   44  0.3041  0.0038  0.0937  0.3170  0.0441  0.11
Blet 2003   9  0.4125  0.0013  0.0914  0.5623  0.4411  0.50
Block 1995   40  0.3165  0.0037  0.0935  0.3462  0.0437  0.12
Blumental 1952   33  0.3412  0.0110  0.1519  0.5238  0.2013  0.32
Boshniakovich 1969   24  0.3614  0.0024  0.0821  0.5169  0.0429  0.14
Brailowsky 1960   22  0.3620  0.009  0.1210  0.6021  0.565  0.58
Bunin 1987   3  0.4513  0.008  0.156  0.6716  0.517  0.58
Bunin 1987b   8  0.4218  0.0016  0.1112  0.5822  0.4212  0.49
Chiu 1999   20  0.3724  0.0019  0.1017  0.5342  0.1316  0.26
Cohen 1997   75  0.1963  0.0058  0.0466  0.0481  0.0379  0.03
Cortot 1951   86  0.1079  0.0087  0.0377  0.0390  0.0188  0.02
Csalog 1996   52  0.2833  0.0059  0.0460  0.0462  0.0562  0.04
Czerny 1949   87  0.1078  0.0088  0.0388  0.0391  0.0186  0.02
Czerny 1990   23  0.3642  0.0033  0.0834  0.3559  0.0533  0.13
Duchoud 2007   67  0.2346  0.0067  0.0468  0.0463  0.0563  0.04
Ezaki 2006   84  0.1462  0.0085  0.0471  0.0486  0.0266  0.03
Falvay 1989   55  0.2887  0.0049  0.0647  0.0688  0.0268  0.03
Farrell 1958   81  0.1873  0.0082  0.0375  0.0387  0.0285  0.02
Ferenczy 1958   83  0.1610  0.0142  0.0643  0.1248  0.0842  0.10
Fliere 1977   14  0.3967  0.0027  0.1027  0.4466  0.0430  0.13
Fou 1978   61  0.2680  0.0047  0.0646  0.0681  0.0355  0.04
Francois 1956   79  0.1982  0.0083  0.0469  0.0480  0.0383  0.03
Friedman 1923   17  0.3860  0.0015  0.098  0.6320  0.529  0.57
Friedman 1923b   16  0.3822  0.0011  0.129  0.6319  0.548  0.58
Friedman 1930   10  0.406  0.026  0.325  0.6912  0.582  0.63
Garcia 2007   50  0.2958  0.0056  0.0557  0.0551  0.0551  0.05
Garcia 2007b   32  0.3427  0.0041  0.0840  0.2043  0.1225  0.15
Gierzod 1998   80  0.1891  0.0069  0.0386  0.0385  0.0376  0.03
Gornostaeva 1994   63  0.2483  0.0071  0.0378  0.0374  0.0380  0.03
Groot 1988   6  0.4419  0.007  0.127  0.6741  0.1514  0.32
Harasiewicz 1955   34  0.3345  0.0039  0.0839  0.2276  0.0443  0.09
Hatto 1993   29  0.3536  0.0018  0.1016  0.5559  0.0620  0.18
Hatto 1997   41  0.3174  0.0029  0.1128  0.4277  0.0431  0.13
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   28  0.3581  0.0022  0.1020  0.5263  0.0523  0.16
Kapell 1951   18  0.375  0.0412  0.0938  0.2976  0.0438  0.11
Kissin 1993   59  0.2790  0.0061  0.0382  0.0371  0.0560  0.04
Kushner 1989   42  0.3137  0.0043  0.0644  0.1181  0.0445  0.07
Luisada 1991   2  0.452  0.212  0.314  0.7015  0.523  0.60
Lushtak 2004   65  0.2444  0.0063  0.0384  0.0387  0.0378  0.03
Malcuzynski 1961   46  0.3034  0.0055  0.0556  0.0586  0.0357  0.04
Magaloff 1978   21  0.3777  0.0025  0.0822  0.5050  0.0521  0.16
Magin 1975   38  0.3275  0.0050  0.0648  0.0675  0.0447  0.05
Michalowski 1933   53  0.2851  0.0052  0.0649  0.0665  0.0550  0.05
Milkina 1970   58  0.2748  0.0046  0.0650  0.0680  0.0356  0.04
Mohovich 1999   36  0.3331  0.0036  0.0936  0.3356  0.0532  0.13
Moravec 1969   25  0.3647  0.0034  0.0831  0.3766  0.0434  0.12
Morozova 2008   51  0.297  0.0240  0.0941  0.2048  0.0639  0.11
Neighaus 1950   49  0.2964  0.0054  0.0555  0.0580  0.0365  0.04
Niedzielski 1931   13  0.393  0.144  0.1911  0.597  0.576  0.58
Ohlsson 1999   47  0.3055  0.0051  0.0553  0.0551  0.0549  0.05
Osinska 1989   70  0.2356  0.0072  0.0461  0.0480  0.0367  0.03
Pachmann 1927   66  0.2368  0.0076  0.0383  0.0367  0.0559  0.04
Paderewski 1930   57  0.2739  0.0062  0.0385  0.0353  0.0658  0.04
Perlemuter 1992   31  0.3429  0.0044  0.0642  0.1368  0.0544  0.08
Pierdomenico 2008   48  0.2969  0.0057  0.0467  0.0473  0.0454  0.04
Poblocka 1999   30  0.3576  0.0035  0.0732  0.3673  0.0435  0.12
Rabcewiczowa 1932   72  0.2272  0.0078  0.0459  0.0486  0.0371  0.03
Rachmaninoff 1923   5  0.4411  0.015  0.303  0.708  0.601  0.65
Rangell 2001   62  0.2549  0.0077  0.0381  0.0383  0.0287  0.02
Richter 1976   19  0.3717  0.0032  0.0829  0.3763  0.0526  0.14
Rosen 1989   39  0.3223  0.0026  0.0926  0.4865  0.0428  0.14
Rosenthal 1930   27  0.3526  0.0020  0.0818  0.5321  0.5710  0.55
Rosenthal 1931   85  0.1452  0.0084  0.0554  0.0565  0.0461  0.04
Rosenthal 1931b   82  0.1789  0.0080  0.0458  0.0472  0.0381  0.03
Rosenthal 1931c   68  0.2357  0.0048  0.0652  0.0662  0.0452  0.05
Rosenthal 1931d   74  0.1984  0.0079  0.0462  0.0459  0.0564  0.04
Rossi 2007   89  0.0566  0.0089  0.0289  0.0288  0.0189  0.01
Rubinstein 1939   69  0.2335  0.0073  0.0465  0.0487  0.0270  0.03
Rubinstein 1952   54  0.2821  0.0066  0.0372  0.0380  0.0382  0.03
Rubinstein 1966   56  0.2770  0.0065  0.0470  0.0477  0.0375  0.03
Schilhawsky 1960   35  0.338  0.0131  0.0833  0.3634  0.1717  0.25
Shebanova 2002   11  0.3953  0.0014  0.0815  0.5557  0.0619  0.18
Smith 1975   77  0.1985  0.0081  0.0379  0.0381  0.0369  0.03
Sokolov 2002   71  0.2371  0.0068  0.0373  0.0383  0.0284  0.02
Sztompka 1959   12  0.3916  0.0021  0.0924  0.5060  0.0522  0.16
Tomsic 1995   60  0.2640  0.0070  0.0463  0.0483  0.0372  0.03
Uninsky 1932   15  0.3815  0.0028  0.1225  0.4966  0.0427  0.14
Uninsky 1971   64  0.2454  0.0060  0.0376  0.0382  0.0373  0.03
Wasowski 1980   7  0.429  0.0117  0.1313  0.5739  0.1615  0.30
Zak 1937   37  0.3332  0.0045  0.0645  0.1172  0.0446  0.07
Zak 1951   43  0.3143  0.0053  0.0651  0.0671  0.0448  0.05
Average   1  0.521  0.371  0.361  0.8381  0.0324  0.16
Random 1   90  -0.0961  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   88  0.0738  0.0086  0.0387  0.0311  0.4240  0.11
Random 3   91  -0.1086  0.0091  0.0191  0.0189  0.0291  0.01

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).