Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7746  0.0012  0.096  0.4715  0.358  0.41
Anderszewski 2003   73  0.4466  0.0073  0.0452  0.0474  0.0381  0.03
Ashkenazy 1981   49  0.5874  0.0041  0.0541  0.1368  0.0359  0.06
Bacha 2000   64  0.4961  0.0054  0.0467  0.0434  0.2045  0.09
Badura 1965   43  0.6054  0.0036  0.0536  0.1619  0.3825  0.25
Barbosa 1983   55  0.5569  0.0051  0.0551  0.0545  0.1746  0.09
Biret 1990   9  0.762  0.132  0.132  0.594  0.522  0.55
Blet 2003   35  0.6458  0.0042  0.0445  0.0866  0.0458  0.06
Block 1995   42  0.6143  0.0059  0.0461  0.0428  0.2444  0.10
Blumental 1952   68  0.4710  0.0220  0.0822  0.3012  0.3318  0.31
Boshniakovich 1969   26  0.6922  0.0126  0.0729  0.2319  0.3023  0.26
Brailowsky 1960   44  0.6075  0.0069  0.0546  0.0561  0.0464  0.04
Bunin 1987   67  0.4862  0.0076  0.0456  0.0461  0.0472  0.04
Bunin 1987b   66  0.4867  0.0075  0.0374  0.0380  0.0376  0.03
Chiu 1999   62  0.5068  0.0048  0.0465  0.0444  0.1057  0.06
Cohen 1997   76  0.4124  0.0162  0.0454  0.0415  0.4038  0.13
Cortot 1951   17  0.7218  0.0118  0.128  0.422  0.544  0.48
Csalog 1996   51  0.5639  0.0065  0.0460  0.0415  0.4437  0.13
Czerny 1949   3  0.791  0.161  0.164  0.5511  0.513  0.53
Czerny 1990   1  0.8144  0.007  0.097  0.4627  0.2517  0.34
Duchoud 2007   46  0.5964  0.0047  0.0462  0.0466  0.0470  0.04
Ezaki 2006   19  0.7127  0.0132  0.0818  0.3459  0.0439  0.12
Falvay 1989   20  0.7152  0.0029  0.0727  0.2536  0.1532  0.19
Farrell 1958   36  0.6314  0.0124  0.0728  0.247  0.3719  0.30
Ferenczy 1958   45  0.6019  0.0140  0.0537  0.1630  0.2830  0.21
Fliere 1977   7  0.7663  0.0016  0.1112  0.3844  0.1229  0.21
Fou 1978   54  0.557  0.0634  0.0639  0.1537  0.2233  0.18
Francois 1956   16  0.7313  0.0210  0.0810  0.3919  0.3114  0.35
Friedman 1923   88  0.0582  0.0088  0.0289  0.0275  0.0585  0.03
Friedman 1923b   87  0.0573  0.0089  0.0285  0.0265  0.0582  0.03
Friedman 1930   81  0.3153  0.0072  0.0376  0.0352  0.0567  0.04
Garcia 2007   83  0.2659  0.0085  0.0286  0.0281  0.0288  0.02
Garcia 2007b   86  0.1385  0.0086  0.0288  0.0273  0.0390  0.02
Gierzod 1998   27  0.6886  0.0027  0.0723  0.3025  0.2124  0.25
Gornostaeva 1994   4  0.7811  0.0211  0.1013  0.3819  0.3213  0.35
Groot 1988   23  0.6955  0.0039  0.0538  0.1649  0.0548  0.09
Harasiewicz 1955   69  0.4645  0.0058  0.0470  0.0466  0.0383  0.03
Hatto 1993   85  0.1987  0.0079  0.0382  0.0389  0.0289  0.02
Hatto 1997   82  0.2815  0.0157  0.0459  0.0450  0.0468  0.04
Horowitz 1949   61  0.5242  0.0068  0.0458  0.0473  0.0377  0.03
Indjic 1988   84  0.2088  0.0080  0.0468  0.0484  0.0279  0.03
Kapell 1951   25  0.6978  0.0031  0.0731  0.2133  0.2726  0.24
Kissin 1993   21  0.7035  0.0030  0.0624  0.2933  0.2321  0.26
Kushner 1989   5  0.788  0.028  0.0816  0.3723  0.3215  0.34
Luisada 1991   50  0.589  0.0222  0.0734  0.1742  0.1236  0.14
Lushtak 2004   57  0.5441  0.0035  0.0530  0.2264  0.0447  0.09
Malcuzynski 1961   14  0.7434  0.0021  0.0820  0.3233  0.1827  0.24
Magaloff 1978   24  0.6920  0.0138  0.0535  0.1649  0.0449  0.08
Magin 1975   75  0.4328  0.0078  0.0383  0.0378  0.0287  0.02
Michalowski 1933   72  0.4417  0.0163  0.0549  0.0545  0.0955  0.07
Milkina 1970   22  0.7026  0.0128  0.0717  0.3421  0.3416  0.34
Mohovich 1999   28  0.6732  0.0043  0.0440  0.1339  0.1140  0.12
Moravec 1969   13  0.7423  0.0114  0.1215  0.385  0.535  0.45
Morozova 2008   40  0.6249  0.009  0.0826  0.2630  0.1631  0.20
Neighaus 1950   37  0.6330  0.0025  0.0919  0.3335  0.2220  0.27
Niedzielski 1931   65  0.4950  0.0084  0.0284  0.0266  0.0386  0.02
Ohlsson 1999   33  0.6437  0.0046  0.0457  0.0444  0.1254  0.07
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   77  0.3989  0.0074  0.0375  0.0359  0.0478  0.03
Paderewski 1930   15  0.733  0.105  0.1114  0.386  0.447  0.41
Perlemuter 1992   59  0.5333  0.0067  0.0463  0.0483  0.0374  0.03
Pierdomenico 2008   31  0.6770  0.0053  0.0548  0.0541  0.1052  0.07
Poblocka 1999   11  0.7431  0.0017  0.099  0.4219  0.406  0.41
Rabcewiczowa 1932   10  0.7571  0.0015  0.1211  0.3817  0.419  0.39
Rachmaninoff 1923   74  0.4483  0.0071  0.0378  0.0353  0.0475  0.03
Rangell 2001   38  0.6329  0.0033  0.0632  0.2040  0.1434  0.17
Richter 1976   60  0.5256  0.0070  0.0471  0.0445  0.0760  0.05
Rosen 1989   8  0.764  0.083  0.113  0.584  0.641  0.61
Rosenthal 1930   48  0.5847  0.0064  0.0472  0.0457  0.0471  0.04
Rosenthal 1931   78  0.3884  0.0081  0.0380  0.0363  0.0380  0.03
Rosenthal 1931b   79  0.3590  0.0083  0.0379  0.0364  0.0484  0.03
Rosenthal 1931c   47  0.5865  0.0061  0.0550  0.0550  0.0663  0.05
Rosenthal 1931d   71  0.4579  0.0082  0.0469  0.0462  0.0473  0.04
Rossi 2007   70  0.4636  0.0052  0.0455  0.0413  0.2542  0.10
Rubinstein 1939   80  0.3148  0.0077  0.0381  0.0327  0.3443  0.10
Rubinstein 1952   34  0.6425  0.0149  0.0547  0.0522  0.4335  0.15
Rubinstein 1966   32  0.6421  0.0123  0.0925  0.2712  0.4812  0.36
Schilhawsky 1960   52  0.5660  0.0060  0.0453  0.0449  0.0661  0.05
Shebanova 2002   18  0.7151  0.0019  0.0721  0.3117  0.4610  0.38
Smith 1975   12  0.746  0.066  0.145  0.5319  0.2611  0.37
Sokolov 2002   41  0.6212  0.0213  0.0842  0.1354  0.0451  0.07
Sztompka 1959   29  0.6740  0.0037  0.0533  0.2032  0.2928  0.24
Tomsic 1995   39  0.6280  0.0044  0.0543  0.1161  0.0453  0.07
Uninsky 1932   63  0.4957  0.0066  0.0377  0.0352  0.0569  0.04
Uninsky 1971   53  0.5616  0.0145  0.0544  0.0957  0.0556  0.07
Wasowski 1980   30  0.6738  0.0050  0.0464  0.0413  0.3241  0.11
Zak 1937   56  0.5576  0.0055  0.0473  0.0460  0.0565  0.04
Zak 1951   58  0.5472  0.0056  0.0466  0.0450  0.0566  0.04
Average   2  0.815  0.074  0.121  0.6043  0.1122  0.26
Random 1   91  -0.1991  0.0091  0.0191  0.0189  0.0291  0.01
Random 2   90  0.0077  0.0090  0.0287  0.0217  0.3250  0.08
Random 3   89  0.0481  0.0087  0.0290  0.0236  0.1462  0.05

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).