Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.1935  0.0069  0.0750  0.0761  0.0467  0.05
Anderszewski 2003   68  0.2172  0.0064  0.0565  0.0541  0.1452  0.08
Ashkenazy 1981   9  0.5039  0.0011  0.139  0.6227  0.5810  0.60
Bacha 2000   39  0.3516  0.0125  0.0731  0.2818  0.5023  0.37
Badura 1965   74  0.1673  0.0072  0.0662  0.0681  0.0378  0.04
Barbosa 1983   16  0.4328  0.0014  0.1012  0.499  0.6411  0.56
Biret 1990   49  0.3138  0.0057  0.0574  0.0527  0.5044  0.16
Blet 2003   20  0.4027  0.0016  0.1015  0.4721  0.5612  0.51
Block 1995   53  0.3043  0.0062  0.0749  0.0758  0.0560  0.06
Blumental 1952   36  0.3714  0.0126  0.0923  0.3915  0.5620  0.47
Boshniakovich 1969   41  0.3411  0.0219  0.0825  0.3433  0.3328  0.33
Brailowsky 1960   77  0.1455  0.0074  0.0568  0.0562  0.0564  0.05
Bunin 1987   22  0.4023  0.0123  0.0819  0.4413  0.5615  0.50
Bunin 1987b   21  0.4053  0.0024  0.1420  0.4414  0.5613  0.50
Chiu 1999   8  0.524  0.075  0.176  0.6315  0.655  0.64
Cohen 1997   76  0.1486  0.0077  0.0479  0.0483  0.0281  0.03
Cortot 1951   78  0.1259  0.0078  0.0478  0.0471  0.0383  0.03
Csalog 1996   65  0.2241  0.0066  0.0753  0.0760  0.0559  0.06
Czerny 1949   79  0.1174  0.0079  0.0380  0.0357  0.0577  0.04
Czerny 1990   5  0.5312  0.028  0.245  0.6610  0.794  0.72
Duchoud 2007   15  0.4313  0.0118  0.1016  0.4613  0.5514  0.50
Ezaki 2006   83  0.0266  0.0085  0.0283  0.0287  0.0284  0.02
Falvay 1989   43  0.3468  0.0051  0.0751  0.0728  0.2947  0.14
Farrell 1958   60  0.2846  0.0028  0.0743  0.1237  0.2541  0.17
Ferenczy 1958   85  0.0252  0.0083  0.0284  0.0246  0.0876  0.04
Fliere 1977   27  0.3834  0.0034  0.0626  0.3445  0.1937  0.25
Fou 1978   32  0.3719  0.0127  0.0924  0.3627  0.3924  0.37
Francois 1956   67  0.2132  0.0068  0.0571  0.0553  0.0671  0.05
Friedman 1923   34  0.3756  0.0036  0.0634  0.2339  0.3634  0.29
Friedman 1923b   30  0.3861  0.0033  0.0632  0.2739  0.4129  0.33
Friedman 1930   11  0.4829  0.0010  0.128  0.6312  0.666  0.64
Garcia 2007   23  0.4026  0.0020  0.0928  0.3232  0.3727  0.34
Garcia 2007b   45  0.3360  0.0049  0.0846  0.0838  0.2845  0.15
Gierzod 1998   87  0.0087  0.0080  0.0477  0.0486  0.0280  0.03
Gornostaeva 1994   75  0.1562  0.0073  0.0570  0.0579  0.0379  0.04
Groot 1988   38  0.3688  0.0050  0.0659  0.0663  0.0662  0.06
Harasiewicz 1955   17  0.428  0.039  0.1222  0.4023  0.4222  0.41
Hatto 1993   4  0.553  0.102  0.212  0.7710  0.692  0.73
Hatto 1997   12  0.4821  0.0112  0.1411  0.595  0.648  0.61
Horowitz 1949   2  0.562  0.154  0.204  0.712  0.791  0.75
Indjic 1988   3  0.565  0.073  0.263  0.759  0.703  0.72
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   29  0.3836  0.0030  0.0833  0.2725  0.5226  0.37
Kushner 1989   28  0.3869  0.0038  0.0638  0.1637  0.2440  0.20
Luisada 1991   18  0.4224  0.0121  0.1018  0.4525  0.5116  0.48
Lushtak 2004   58  0.2880  0.0059  0.0564  0.0560  0.0569  0.05
Malcuzynski 1961   64  0.2447  0.0067  0.0661  0.0675  0.0465  0.05
Magaloff 1978   71  0.1849  0.0070  0.0572  0.0585  0.0374  0.04
Magin 1975   44  0.3342  0.0037  0.0639  0.1529  0.4835  0.27
Michalowski 1933   26  0.3930  0.0035  0.0630  0.2832  0.3630  0.32
Milkina 1970   55  0.2981  0.0041  0.0540  0.1424  0.4438  0.25
Mohovich 1999   61  0.2745  0.0061  0.0656  0.0649  0.0761  0.06
Moravec 1969   46  0.3375  0.0056  0.0567  0.0551  0.0563  0.05
Morozova 2008   47  0.3270  0.0045  0.0545  0.0947  0.0753  0.08
Neighaus 1950   51  0.3048  0.0058  0.0658  0.0660  0.0570  0.05
Niedzielski 1931   14  0.4418  0.0117  0.1014  0.4720  0.4819  0.47
Ohlsson 1999   52  0.3044  0.0053  0.0848  0.0863  0.0458  0.06
Osinska 1989   66  0.2263  0.0065  0.0476  0.0456  0.0573  0.04
Pachmann 1927   57  0.2876  0.0063  0.0655  0.0654  0.0757  0.06
Paderewski 1930   50  0.3157  0.0055  0.0752  0.0741  0.2449  0.13
Perlemuter 1992   72  0.1864  0.0071  0.0566  0.0573  0.0472  0.04
Pierdomenico 2008   37  0.3682  0.0047  0.0573  0.0531  0.2650  0.11
Poblocka 1999   48  0.3271  0.0046  0.0569  0.0530  0.3248  0.13
Rabcewiczowa 1932   73  0.1783  0.0076  0.0475  0.0466  0.0475  0.04
Rachmaninoff 1923   31  0.3725  0.0044  0.0542  0.1230  0.3639  0.21
Rangell 2001   25  0.4033  0.0039  0.0635  0.2016  0.4333  0.29
Richter 1976   13  0.4717  0.0115  0.1217  0.4536  0.5117  0.48
Rosen 1989   42  0.3410  0.0242  0.0541  0.1348  0.0554  0.08
Rosenthal 1930   69  0.2077  0.0075  0.0660  0.0671  0.0468  0.05
Rosenthal 1931   88  -0.0278  0.0087  0.0289  0.0275  0.0387  0.02
Rosenthal 1931b   86  0.0084  0.0088  0.0286  0.0286  0.0289  0.02
Rosenthal 1931c   81  0.0565  0.0089  0.0282  0.0291  0.0191  0.01
Rosenthal 1931d   84  0.0285  0.0081  0.0381  0.0380  0.0382  0.03
Rossi 2007   90  -0.0689  0.0082  0.0287  0.0286  0.0285  0.02
Rubinstein 1939   62  0.2640  0.0060  0.0663  0.0645  0.1051  0.08
Rubinstein 1952   33  0.379  0.0222  0.1121  0.4316  0.5318  0.48
Rubinstein 1966   24  0.4037  0.0031  0.0627  0.3324  0.3231  0.32
Schilhawsky 1960   56  0.2967  0.0052  0.0654  0.0625  0.4243  0.16
Shebanova 2002   6  0.536  0.036  0.167  0.6323  0.627  0.62
Smith 1975   80  0.0790  0.0086  0.0285  0.0282  0.0386  0.02
Sokolov 2002   59  0.2854  0.0043  0.0544  0.1041  0.2046  0.14
Sztompka 1959   40  0.3451  0.0048  0.0657  0.0648  0.0855  0.07
Tomsic 1995   63  0.2579  0.0054  0.0847  0.0860  0.0556  0.06
Uninsky 1932   10  0.4831  0.0013  0.1613  0.4928  0.4021  0.44
Uninsky 1971   54  0.3022  0.0129  0.0937  0.1740  0.1642  0.16
Wasowski 1980   7  0.527  0.037  0.1710  0.5915  0.619  0.60
Zak 1937   19  0.4020  0.0132  0.0729  0.3125  0.4425  0.37
Zak 1951   35  0.3750  0.0040  0.0736  0.1826  0.4236  0.27
Average   1  0.581  0.271  0.261  0.7742  0.1232  0.30
Random 1   91  -0.1091  0.0090  0.0190  0.0189  0.0290  0.01
Random 2   82  0.0415  0.0184  0.0288  0.0241  0.1566  0.05
Random 3   89  -0.0558  0.0091  0.0191  0.0169  0.0388  0.02

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).