Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5687  0.0049  0.0548  0.0552  0.0468  0.04
Anderszewski 2003   22  0.5924  0.0116  0.0820  0.3428  0.2017  0.26
Ashkenazy 1981   48  0.4832  0.0033  0.0532  0.2064  0.0438  0.09
Bacha 2000   40  0.5036  0.0022  0.0726  0.2731  0.2219  0.24
Badura 1965   57  0.4783  0.0063  0.0373  0.0356  0.0570  0.04
Barbosa 1983   78  0.3450  0.0082  0.0379  0.0377  0.0479  0.03
Biret 1990   49  0.4841  0.0058  0.0465  0.0476  0.0473  0.04
Blet 2003   46  0.4921  0.0151  0.0451  0.0437  0.1346  0.07
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   85  0.2426  0.0146  0.0549  0.0572  0.0371  0.04
Boshniakovich 1969   1  0.675  0.073  0.141  0.5211  0.541  0.53
Brailowsky 1960   12  0.627  0.055  0.1211  0.3914  0.414  0.40
Bunin 1987   69  0.4053  0.0081  0.0367  0.0353  0.0572  0.04
Bunin 1987b   71  0.4043  0.0080  0.0286  0.0252  0.0577  0.03
Chiu 1999   60  0.4610  0.0231  0.0635  0.1744  0.0931  0.12
Cohen 1997   87  0.2329  0.0160  0.0375  0.0337  0.1154  0.06
Cortot 1951   38  0.5157  0.0064  0.0459  0.0442  0.1542  0.08
Csalog 1996   79  0.3055  0.0086  0.0383  0.0377  0.0381  0.03
Czerny 1949   58  0.4623  0.0150  0.0462  0.0470  0.0467  0.04
Czerny 1990   32  0.548  0.0443  0.0544  0.0985  0.0355  0.05
Duchoud 2007   61  0.4588  0.0068  0.0369  0.0371  0.0483  0.03
Ezaki 2006   19  0.6058  0.0032  0.0531  0.2155  0.0437  0.09
Falvay 1989   33  0.5442  0.0045  0.0450  0.0461  0.0557  0.04
Farrell 1958   31  0.5515  0.0123  0.0816  0.3524  0.2610  0.30
Ferenczy 1958   41  0.5022  0.0162  0.0461  0.0459  0.0466  0.04
Fliere 1977   13  0.616  0.058  0.108  0.4342  0.1221  0.23
Fou 1978   20  0.5925  0.0114  0.0615  0.3538  0.1223  0.20
Francois 1956   51  0.4837  0.0066  0.0380  0.0386  0.0290  0.02
Friedman 1923   80  0.2974  0.0076  0.0452  0.0438  0.1743  0.08
Friedman 1923b   81  0.2976  0.0075  0.0384  0.0338  0.1750  0.07
Friedman 1930   77  0.3479  0.0074  0.0377  0.0356  0.0565  0.04
Garcia 2007   37  0.5152  0.0035  0.0633  0.1826  0.3120  0.24
Garcia 2007b   76  0.3570  0.0054  0.0545  0.0530  0.1739  0.09
Gierzod 1998   39  0.5163  0.0053  0.0547  0.0573  0.0369  0.04
Gornostaeva 1994   6  0.6420  0.0112  0.0722  0.3130  0.2712  0.29
Groot 1988   2  0.672  0.122  0.163  0.4920  0.442  0.46
Harasiewicz 1955   8  0.633  0.104  0.144  0.4726  0.316  0.38
Hatto 1993   84  0.2673  0.0083  0.0374  0.0373  0.0485  0.03
Hatto 1997   82  0.2967  0.0084  0.0378  0.0377  0.0382  0.03
Horowitz 1949   28  0.5730  0.0130  0.0723  0.2936  0.3011  0.29
Indjic 1988   83  0.2761  0.0085  0.0463  0.0468  0.0463  0.04
Kapell 1951   55  0.4713  0.0255  0.0455  0.0478  0.0460  0.04
Kissin 1993   7  0.6428  0.0121  0.0718  0.3452  0.0529  0.13
Kushner 1989   5  0.6412  0.0213  0.097  0.4536  0.1713  0.28
Luisada 1991   21  0.5939  0.0027  0.0713  0.3642  0.0825  0.17
Lushtak 2004   64  0.4371  0.0061  0.0372  0.0383  0.0384  0.03
Malcuzynski 1961   14  0.6144  0.0025  0.0728  0.2635  0.1424  0.19
Magaloff 1978   24  0.5849  0.0024  0.0627  0.2652  0.0632  0.12
Magin 1975   23  0.5911  0.0215  0.0619  0.3432  0.1818  0.25
Michalowski 1933   74  0.3772  0.0056  0.0458  0.0461  0.0562  0.04
Milkina 1970   3  0.6638  0.006  0.119  0.4029  0.258  0.32
Mohovich 1999   16  0.6031  0.0117  0.0717  0.3563  0.0434  0.12
Moravec 1969   70  0.4069  0.0078  0.0287  0.0263  0.0474  0.03
Morozova 2008   42  0.5059  0.0042  0.0539  0.1156  0.0447  0.07
Neighaus 1950   15  0.6016  0.0110  0.096  0.4536  0.1615  0.27
Niedzielski 1931   47  0.4846  0.0044  0.0542  0.1036  0.1533  0.12
Ohlsson 1999   63  0.4482  0.0071  0.0457  0.0484  0.0378  0.03
Osinska 1989   4  0.6518  0.0120  0.0712  0.3945  0.0727  0.17
Pachmann 1927   56  0.4777  0.0072  0.0460  0.0448  0.0561  0.04
Paderewski 1930   35  0.5240  0.0039  0.0540  0.1153  0.0445  0.07
Perlemuter 1992   10  0.624  0.089  0.092  0.5127  0.257  0.36
Pierdomenico 2008   34  0.5434  0.0018  0.0614  0.3619  0.415  0.38
Poblocka 1999   27  0.5727  0.0138  0.0538  0.1266  0.0444  0.07
Rabcewiczowa 1932   65  0.4378  0.0073  0.0466  0.0450  0.0459  0.04
Rachmaninoff 1923   50  0.4865  0.0048  0.0456  0.0479  0.0376  0.03
Rangell 2001   26  0.571  0.171  0.175  0.456  0.463  0.45
Richter 1976   11  0.6217  0.0126  0.0829  0.2427  0.2816  0.26
Rosen 1989   9  0.6314  0.017  0.1110  0.4026  0.269  0.32
Rosenthal 1930   73  0.3854  0.0079  0.0382  0.0386  0.0288  0.02
Rosenthal 1931   67  0.4186  0.0070  0.0370  0.0366  0.0380  0.03
Rosenthal 1931b   68  0.4175  0.0069  0.0381  0.0358  0.0486  0.03
Rosenthal 1931c   75  0.3645  0.0077  0.0285  0.0266  0.0389  0.02
Rosenthal 1931d   59  0.4689  0.0059  0.0371  0.0334  0.1651  0.07
Rossi 2007   54  0.4719  0.0136  0.0734  0.1729  0.2322  0.20
Rubinstein 1939   86  0.2481  0.0087  0.0464  0.0454  0.0558  0.04
Rubinstein 1952   72  0.3960  0.0057  0.0368  0.0345  0.1056  0.05
Rubinstein 1966   66  0.4133  0.0047  0.0453  0.0459  0.0564  0.04
Schilhawsky 1960   52  0.489  0.0311  0.0737  0.1547  0.0736  0.10
Shebanova 2002   25  0.5766  0.0029  0.0625  0.2748  0.0630  0.13
Smith 1975   18  0.6068  0.0019  0.0621  0.3372  0.0435  0.11
Sokolov 2002   62  0.4580  0.0067  0.0376  0.0376  0.0375  0.03
Sztompka 1959   36  0.5135  0.0040  0.0641  0.1142  0.1628  0.13
Tomsic 1995   17  0.6048  0.0028  0.0724  0.2731  0.2714  0.27
Uninsky 1932   53  0.4864  0.0065  0.0454  0.0443  0.1248  0.07
Uninsky 1971   44  0.5056  0.0052  0.0546  0.0541  0.1341  0.08
Wasowski 1980   29  0.5647  0.0034  0.0630  0.2437  0.1226  0.17
Zak 1937   45  0.4962  0.0041  0.0543  0.1072  0.0452  0.06
Zak 1951   43  0.5085  0.0037  0.0636  0.1667  0.0440  0.08
Random 1   89  -0.1084  0.0089  0.0189  0.0125  0.3253  0.06
Random 2   90  -0.2090  0.0090  0.0190  0.0177  0.0387  0.02
Random 3   88  0.0251  0.0088  0.0288  0.0222  0.2649  0.07

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).