Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4277  0.0052  0.0753  0.0739  0.1652  0.11
Anderszewski 2003   17  0.5424  0.0012  0.1410  0.6725  0.4711  0.56
Ashkenazy 1981   21  0.5316  0.0142  0.1042  0.267  0.4931  0.36
Bacha 2000   63  0.3355  0.0074  0.0472  0.0457  0.0466  0.04
Badura 1965   51  0.4283  0.0046  0.0950  0.0920  0.3845  0.18
Barbosa 1983   10  0.5722  0.0026  0.0817  0.5536  0.2629  0.38
Biret 1990   55  0.4078  0.0055  0.0560  0.0585  0.0375  0.04
Blet 2003   58  0.3828  0.0064  0.0561  0.0555  0.0560  0.05
Block 1995   46  0.4570  0.0041  0.0937  0.3528  0.3334  0.34
Blumental 1952   59  0.3658  0.0068  0.0556  0.0577  0.0474  0.04
Boshniakovich 1969   20  0.5360  0.0011  0.1511  0.6215  0.4415  0.52
Brailowsky 1960   66  0.3265  0.0075  0.0473  0.0472  0.0468  0.04
Bunin 1987   70  0.2953  0.0079  0.0383  0.0379  0.0384  0.03
Bunin 1987b   73  0.2832  0.0080  0.0479  0.0476  0.0379  0.03
Chiu 1999   56  0.3938  0.0058  0.0567  0.0557  0.0659  0.05
Cohen 1997   79  0.2661  0.0078  0.0381  0.0380  0.0383  0.03
Cortot 1951   71  0.2937  0.0054  0.0558  0.0543  0.2153  0.10
Csalog 1996   47  0.4435  0.0040  0.0935  0.3934  0.2336  0.30
Czerny 1949   12  0.5710  0.0310  0.189  0.6825  0.606  0.64
Czerny 1990   5  0.6217  0.016  0.256  0.7418  0.675  0.70
Duchoud 2007   69  0.3079  0.0077  0.0564  0.0557  0.0562  0.05
Ezaki 2006   9  0.5815  0.0113  0.0812  0.6128  0.3320  0.45
Falvay 1989   13  0.5641  0.0036  0.0731  0.4245  0.1441  0.24
Farrell 1958   42  0.4619  0.0135  0.0838  0.3430  0.3633  0.35
Ferenczy 1958   60  0.3659  0.0065  0.0654  0.0660  0.0561  0.05
Fliere 1977   49  0.4444  0.0050  0.1047  0.1047  0.0654  0.08
Fou 1978   11  0.5721  0.0024  0.0614  0.5814  0.4813  0.53
Francois 1956   65  0.3262  0.0072  0.0563  0.0559  0.0565  0.05
Friedman 1923   75  0.2866  0.0066  0.0471  0.0465  0.0577  0.04
Friedman 1923b   72  0.2968  0.0061  0.0566  0.0551  0.0663  0.05
Friedman 1930   86  0.2163  0.0085  0.0477  0.0482  0.0381  0.03
Garcia 2007   81  0.2487  0.0071  0.0478  0.0469  0.0473  0.04
Garcia 2007b   68  0.3054  0.0060  0.0475  0.0468  0.0576  0.04
Gierzod 1998   2  0.646  0.044  0.235  0.7515  0.528  0.62
Gornostaeva 1994   41  0.4656  0.0049  0.0948  0.0949  0.0655  0.07
Groot 1988   74  0.2864  0.0067  0.0562  0.0565  0.0564  0.05
Harasiewicz 1955   3  0.643  0.103  0.232  0.799  0.644  0.71
Hatto 1993   44  0.4557  0.0032  0.0741  0.3038  0.2140  0.25
Hatto 1997   34  0.487  0.0419  0.0926  0.4734  0.3427  0.40
Horowitz 1949   82  0.2384  0.0082  0.0384  0.0352  0.0672  0.04
Indjic 1988   39  0.4814  0.0121  0.0733  0.4035  0.2835  0.33
Kapell 1951   26  0.5150  0.0030  0.0927  0.4737  0.3028  0.38
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   16  0.5529  0.0017  0.1018  0.5539  0.3025  0.41
Luisada 1991   52  0.4246  0.0062  0.0470  0.0452  0.0567  0.04
Lushtak 2004   24  0.5147  0.0028  0.1020  0.5234  0.3422  0.42
Malcuzynski 1961   37  0.488  0.0316  0.0824  0.5133  0.3721  0.43
Magaloff 1978   38  0.4839  0.0045  0.1045  0.2042  0.1644  0.18
Magin 1975   31  0.4945  0.0037  0.0836  0.3629  0.3432  0.35
Michalowski 1933   84  0.2280  0.0070  0.0474  0.0423  0.3849  0.12
Milkina 1970   25  0.5148  0.0022  0.0728  0.4743  0.1338  0.25
Mohovich 1999   50  0.4388  0.0047  0.1046  0.1063  0.0457  0.06
Moravec 1969   28  0.5034  0.0043  0.1139  0.3342  0.1543  0.22
Morozova 2008   27  0.5142  0.0029  0.1222  0.5119  0.5017  0.50
Neighaus 1950   32  0.4913  0.0139  0.0832  0.424  0.6116  0.51
Niedzielski 1931   77  0.2667  0.0076  0.0476  0.0471  0.0471  0.04
Ohlsson 1999   45  0.4540  0.0048  0.0851  0.0839  0.2248  0.13
Osinska 1989   14  0.5671  0.0023  0.0515  0.5639  0.2430  0.37
Pachmann 1927   61  0.3636  0.0056  0.0557  0.0515  0.4747  0.15
Paderewski 1930   83  0.2272  0.0073  0.0655  0.0646  0.0656  0.06
Perlemuter 1992   62  0.3651  0.0069  0.0469  0.0447  0.0658  0.05
Pierdomenico 2008   64  0.3389  0.0059  0.0468  0.0468  0.0470  0.04
Poblocka 1999   18  0.544  0.078  0.1421  0.5131  0.3323  0.41
Rabcewiczowa 1932   67  0.3173  0.0057  0.0565  0.0584  0.0278  0.03
Rachmaninoff 1923   80  0.2549  0.0081  0.0382  0.0384  0.0286  0.02
Rangell 2001   29  0.5030  0.0031  0.0730  0.4210  0.5519  0.48
Richter 1976   7  0.609  0.037  0.217  0.724  0.702  0.71
Rosen 1989   40  0.4723  0.0034  0.0844  0.2339  0.2442  0.23
Rosenthal 1930   85  0.2190  0.0086  0.0387  0.0381  0.0382  0.03
Rosenthal 1931   78  0.2674  0.0083  0.0385  0.0372  0.0480  0.03
Rosenthal 1931b   87  0.1785  0.0088  0.0386  0.0382  0.0291  0.02
Rosenthal 1931c   76  0.2681  0.0084  0.0380  0.0379  0.0385  0.03
Rosenthal 1931d   88  0.1791  0.0087  0.0288  0.0285  0.0290  0.02
Rossi 2007   57  0.3882  0.0053  0.0852  0.0826  0.3246  0.16
Rubinstein 1939   36  0.4811  0.0220  0.0834  0.4025  0.4224  0.41
Rubinstein 1952   8  0.5818  0.019  0.148  0.6924  0.489  0.58
Rubinstein 1966   4  0.631  0.231  0.223  0.7715  0.653  0.71
Schilhawsky 1960   48  0.4433  0.0051  0.0949  0.0944  0.1550  0.12
Shebanova 2002   35  0.4825  0.0033  0.0640  0.3129  0.3037  0.30
Smith 1975   54  0.4143  0.0063  0.0559  0.0565  0.0469  0.04
Sokolov 2002   15  0.5531  0.0027  0.1013  0.582  0.697  0.63
Sztompka 1959   6  0.615  0.055  0.264  0.774  0.761  0.76
Tomsic 1995   33  0.4920  0.0114  0.0825  0.5016  0.4918  0.49
Uninsky 1932   43  0.4552  0.0015  0.0923  0.5111  0.6410  0.57
Uninsky 1971   22  0.5227  0.0025  0.0719  0.5420  0.5114  0.52
Wasowski 1980   23  0.5212  0.0218  0.1416  0.5515  0.5312  0.54
Zak 1937   19  0.5326  0.0038  0.0829  0.4331  0.3826  0.40
Zak 1951   30  0.4986  0.0044  0.1143  0.2357  0.0551  0.11
Average   1  0.672  0.222  0.301  0.8149  0.0839  0.25
Random 1   90  -0.0375  0.0090  0.0190  0.0152  0.0488  0.02
Random 2   89  -0.0269  0.0091  0.0191  0.0150  0.0487  0.02
Random 3   91  -0.0976  0.0089  0.0189  0.0148  0.0589  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).