Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2333  0.0060  0.0560  0.0564  0.0466  0.04
Anderszewski 2003   51  0.2928  0.0047  0.0461  0.0449  0.0757  0.05
Ashkenazy 1981   2  0.482  0.222  0.452  0.7413  0.631  0.68
Bacha 2000   62  0.2545  0.0061  0.0551  0.0557  0.0552  0.05
Badura 1965   60  0.2610  0.0135  0.0543  0.1340  0.1436  0.13
Barbosa 1983   23  0.3572  0.0046  0.0746  0.0760  0.0651  0.06
Biret 1990   78  0.2152  0.0073  0.0387  0.0363  0.0484  0.03
Blet 2003   8  0.408  0.0210  0.099  0.558  0.564  0.55
Block 1995   31  0.3471  0.0022  0.1025  0.3452  0.0634  0.14
Blumental 1952   38  0.3236  0.0016  0.1118  0.4436  0.2216  0.31
Boshniakovich 1969   24  0.3518  0.0041  0.0834  0.2571  0.0444  0.10
Brailowsky 1960   61  0.2659  0.0059  0.0472  0.0460  0.0654  0.05
Bunin 1987   46  0.3044  0.0043  0.0941  0.1846  0.0840  0.12
Bunin 1987b   44  0.3164  0.0042  0.0739  0.2049  0.0737  0.12
Chiu 1999   41  0.3262  0.0037  0.0638  0.2075  0.0445  0.09
Cohen 1997   73  0.2373  0.0063  0.0549  0.0560  0.0468  0.04
Cortot 1951   86  0.1566  0.0086  0.0467  0.0487  0.0285  0.03
Csalog 1996   40  0.3216  0.0125  0.0728  0.3227  0.2518  0.28
Czerny 1949   88  0.0567  0.0088  0.0288  0.0290  0.0190  0.01
Czerny 1990   33  0.3454  0.0026  0.0726  0.3247  0.0829  0.16
Duchoud 2007   67  0.2437  0.0069  0.0474  0.0459  0.0567  0.04
Ezaki 2006   82  0.1869  0.0085  0.0468  0.0482  0.0371  0.03
Falvay 1989   53  0.2843  0.0030  0.0640  0.1968  0.0543  0.10
Farrell 1958   65  0.2588  0.0082  0.0473  0.0475  0.0376  0.03
Ferenczy 1958   84  0.1686  0.0083  0.0559  0.0563  0.0559  0.05
Fliere 1977   4  0.4212  0.015  0.208  0.5552  0.0623  0.18
Fou 1978   37  0.3274  0.0053  0.0555  0.0586  0.0277  0.03
Francois 1956   83  0.1778  0.0084  0.0470  0.0485  0.0286  0.03
Friedman 1923   21  0.3622  0.0014  0.1417  0.4425  0.479  0.45
Friedman 1923b   17  0.3720  0.0013  0.1115  0.4625  0.477  0.46
Friedman 1930   32  0.347  0.0217  0.1413  0.5021  0.515  0.50
Garcia 2007   47  0.296  0.0228  0.0637  0.2433  0.2122  0.22
Garcia 2007b   69  0.2442  0.0076  0.0377  0.0351  0.0570  0.04
Gierzod 1998   43  0.3126  0.0027  0.0731  0.2765  0.0538  0.12
Gornostaeva 1994   70  0.2450  0.0068  0.0471  0.0479  0.0382  0.03
Groot 1988   11  0.3919  0.0018  0.1114  0.4847  0.0627  0.17
Harasiewicz 1955   25  0.3575  0.0045  0.0545  0.1066  0.0550  0.07
Hatto 1993   10  0.409  0.014  0.174  0.6132  0.2712  0.41
Hatto 1997   55  0.2846  0.0055  0.0647  0.0676  0.0458  0.05
Horowitz 1949   12  0.393  0.076  0.167  0.5711  0.592  0.58
Indjic 1988   14  0.3921  0.007  0.116  0.5733  0.2911  0.41
Kapell 1951   18  0.364  0.059  0.1022  0.3642  0.0924  0.18
Kissin 1993   22  0.3555  0.0034  0.0630  0.2955  0.0733  0.14
Kushner 1989   35  0.3376  0.0044  0.0544  0.1169  0.0548  0.07
Luisada 1991   13  0.3911  0.0119  0.1511  0.5231  0.2713  0.37
Lushtak 2004   74  0.2341  0.0078  0.0385  0.0364  0.0481  0.03
Malcuzynski 1961   6  0.4134  0.0020  0.1016  0.4650  0.0626  0.17
Magaloff 1978   26  0.3514  0.0154  0.0548  0.0563  0.0462  0.04
Magin 1975   15  0.3829  0.0021  0.0921  0.3840  0.1919  0.27
Michalowski 1933   54  0.2868  0.0062  0.0462  0.0450  0.0756  0.05
Milkina 1970   79  0.2090  0.0079  0.0381  0.0372  0.0478  0.03
Mohovich 1999   34  0.3349  0.0040  0.0735  0.2547  0.0639  0.12
Moravec 1969   30  0.3530  0.0033  0.0723  0.3549  0.0631  0.14
Morozova 2008   63  0.2570  0.0072  0.0382  0.0385  0.0379  0.03
Neighaus 1950   48  0.2957  0.0049  0.0550  0.0560  0.0560  0.05
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   16  0.3817  0.0112  0.1219  0.3938  0.2317  0.30
Osinska 1989   76  0.2235  0.0074  0.0386  0.0387  0.0287  0.02
Pachmann 1927   52  0.2840  0.0066  0.0554  0.0545  0.1149  0.07
Paderewski 1930   36  0.3227  0.0048  0.0553  0.0529  0.4132  0.14
Perlemuter 1992   49  0.2965  0.0050  0.0552  0.0562  0.0553  0.05
Pierdomenico 2008   75  0.2258  0.0081  0.0378  0.0377  0.0373  0.03
Poblocka 1999   59  0.2689  0.0067  0.0463  0.0479  0.0372  0.03
Rabcewiczowa 1932   81  0.1980  0.0077  0.0380  0.0377  0.0375  0.03
Rachmaninoff 1923   9  0.4023  0.0015  0.1110  0.5319  0.466  0.49
Rangell 2001   71  0.2482  0.0071  0.0383  0.0375  0.0383  0.03
Richter 1976   3  0.465  0.053  0.173  0.6324  0.503  0.56
Rosen 1989   29  0.3551  0.0032  0.0727  0.3272  0.0442  0.11
Rosenthal 1930   45  0.3063  0.0036  0.0642  0.1531  0.4120  0.25
Rosenthal 1931   77  0.2232  0.0057  0.0557  0.0527  0.4430  0.15
Rosenthal 1931b   66  0.2553  0.0024  0.0836  0.2421  0.5315  0.36
Rosenthal 1931c   39  0.3239  0.0023  0.0920  0.3818  0.5010  0.44
Rosenthal 1931d   80  0.1979  0.0058  0.0475  0.0435  0.1747  0.08
Rossi 2007   85  0.1631  0.0075  0.0466  0.0443  0.1746  0.08
Rubinstein 1939   64  0.2581  0.0080  0.0469  0.0472  0.0374  0.03
Rubinstein 1952   58  0.2783  0.0065  0.0465  0.0460  0.0469  0.04
Rubinstein 1966   50  0.2977  0.0051  0.0558  0.0573  0.0364  0.04
Schilhawsky 1960   68  0.2456  0.0070  0.0384  0.0358  0.0565  0.04
Shebanova 2002   7  0.4025  0.008  0.155  0.6141  0.2214  0.37
Smith 1975   87  0.1060  0.0087  0.0379  0.0388  0.0288  0.02
Sokolov 2002   42  0.3161  0.0052  0.0556  0.0566  0.0461  0.04
Sztompka 1959   5  0.4113  0.0111  0.1112  0.5125  0.398  0.45
Tomsic 1995   56  0.2847  0.0064  0.0476  0.0453  0.0655  0.05
Uninsky 1932   20  0.3615  0.0129  0.0624  0.3454  0.0535  0.13
Uninsky 1971   57  0.2784  0.0056  0.0464  0.0474  0.0463  0.04
Wasowski 1980   19  0.3624  0.0038  0.0733  0.2573  0.0541  0.11
Zak 1937   27  0.3538  0.0031  0.0629  0.3242  0.1521  0.22
Zak 1951   28  0.3548  0.0039  0.0632  0.2744  0.1225  0.18
Average   1  0.521  0.391  0.391  0.8182  0.0328  0.16
Random 1   91  -0.0791  0.0090  0.0190  0.0181  0.0291  0.01
Random 2   89  0.0185  0.0089  0.0289  0.0266  0.0480  0.03
Random 3   90  -0.0687  0.0091  0.0191  0.0170  0.0389  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).