Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.2372  0.0065  0.0659  0.0664  0.0470  0.05
Anderszewski 2003   52  0.2926  0.0029  0.1029  0.358  0.6027  0.46
Ashkenazy 1981   32  0.3755  0.0033  0.1035  0.3042  0.1638  0.22
Bacha 2000   58  0.2677  0.0063  0.0469  0.0450  0.0665  0.05
Badura 1965   62  0.2542  0.0058  0.0654  0.0630  0.3839  0.15
Barbosa 1983   24  0.4241  0.0020  0.1313  0.575  0.6711  0.62
Biret 1990   72  0.1756  0.0078  0.0379  0.0353  0.0677  0.04
Blet 2003   47  0.3273  0.0053  0.0748  0.0744  0.1551  0.10
Block 1995   1  0.5410  0.025  0.231  0.773  0.774  0.77
Blumental 1952   54  0.2744  0.0064  0.0564  0.0544  0.1058  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   40  0.3339  0.0040  0.0639  0.2415  0.5631  0.37
Bunin 1987   56  0.2612  0.0159  0.0563  0.0551  0.0764  0.06
Bunin 1987b   59  0.2678  0.0060  0.0567  0.0547  0.0760  0.06
Chiu 1999   51  0.2979  0.0057  0.0845  0.0848  0.0855  0.08
Cohen 1997   53  0.2786  0.0043  0.0643  0.1352  0.0654  0.09
Cortot 1951   69  0.1951  0.0062  0.0468  0.0434  0.3050  0.11
Csalog 1996   61  0.2549  0.0066  0.0653  0.0649  0.0661  0.06
Czerny 1949   87  -0.0587  0.0087  0.0287  0.0278  0.0387  0.02
Czerny 1990   70  0.1980  0.0077  0.0472  0.0460  0.0671  0.05
Duchoud 2007   64  0.2447  0.0061  0.0660  0.0650  0.0763  0.06
Ezaki 2006   57  0.2663  0.0056  0.0656  0.0637  0.2345  0.12
Falvay 1989   77  0.1464  0.0069  0.0746  0.0772  0.0368  0.05
Farrell 1958   83  0.0388  0.0084  0.0373  0.0377  0.0381  0.03
Ferenczy 1958   85  0.0068  0.0085  0.0381  0.0359  0.0676  0.04
Fliere 1977   2  0.546  0.096  0.206  0.6915  0.727  0.70
Fou 1978   35  0.357  0.0326  0.1227  0.4220  0.4329  0.42
Francois 1956   73  0.1634  0.0074  0.0383  0.0360  0.0484  0.03
Friedman 1923   22  0.4314  0.0123  0.1424  0.4919  0.5925  0.54
Friedman 1923b   18  0.4430  0.0022  0.2023  0.4918  0.6220  0.55
Friedman 1930   19  0.4429  0.0024  0.1417  0.5320  0.6017  0.56
Garcia 2007   6  0.522  0.134  0.193  0.761  0.783  0.77
Garcia 2007b   31  0.3733  0.0031  0.1034  0.3125  0.4830  0.39
Gierzod 1998   48  0.3122  0.0041  0.0641  0.1618  0.5734  0.30
Gornostaeva 1994   63  0.2481  0.0067  0.0747  0.0739  0.2147  0.12
Groot 1988   27  0.4075  0.0038  0.0738  0.2454  0.0744  0.13
Harasiewicz 1955   21  0.4437  0.0021  0.1712  0.5910  0.5515  0.57
Hatto 1993   50  0.3045  0.0045  0.0565  0.0544  0.1356  0.08
Hatto 1997   76  0.1446  0.0068  0.0562  0.0574  0.0375  0.04
Horowitz 1949   25  0.4159  0.0034  0.1036  0.2930  0.4332  0.35
Indjic 1988   55  0.2661  0.0046  0.0658  0.0650  0.0857  0.07
Kapell 1951   36  0.3440  0.0027  0.1132  0.3324  0.3433  0.33
Kissin 1993   46  0.3257  0.0048  0.0657  0.0641  0.2842  0.13
Kushner 1989   15  0.4524  0.0016  0.1015  0.5517  0.5423  0.54
Luisada 1991   26  0.4118  0.0128  0.1025  0.4626  0.4726  0.46
Lushtak 2004   17  0.449  0.0214  0.0818  0.532  0.6913  0.60
Malcuzynski 1961   14  0.4750  0.0018  0.1021  0.5112  0.5918  0.55
Magaloff 1978   8  0.505  0.099  0.1916  0.5315  0.5622  0.54
Magin 1975   37  0.3452  0.0052  0.0652  0.0641  0.2346  0.12
Michalowski 1933   34  0.3665  0.0042  0.0640  0.1649  0.0749  0.11
Milkina 1970   84  0.0182  0.0082  0.0382  0.0376  0.0382  0.03
Mohovich 1999   3  0.541  0.231  0.232  0.762  0.765  0.76
Moravec 1969   80  0.1276  0.0081  0.0385  0.0385  0.0285  0.02
Morozova 2008   45  0.3231  0.0030  0.1033  0.3253  0.0543  0.13
Neighaus 1950   11  0.4916  0.0111  0.139  0.655  0.5514  0.60
Niedzielski 1931   30  0.3727  0.0039  0.0837  0.2535  0.2336  0.24
Ohlsson 1999   33  0.3721  0.0035  0.0731  0.3436  0.1437  0.22
Osinska 1989   29  0.3835  0.0036  0.0828  0.3721  0.5328  0.44
Pachmann 1927   5  0.5315  0.017  0.207  0.687  0.836  0.75
Paderewski 1930   23  0.4328  0.0025  0.1320  0.5116  0.6116  0.56
Perlemuter 1992   10  0.4932  0.0013  0.1119  0.527  0.7212  0.61
Pierdomenico 2008   38  0.3354  0.0055  0.0566  0.0546  0.0759  0.06
Poblocka 1999   16  0.4536  0.0017  0.0922  0.507  0.5921  0.54
Rabcewiczowa 1932   67  0.2253  0.0071  0.0376  0.0349  0.0869  0.05
Rachmaninoff 1923   75  0.1589  0.0079  0.0378  0.0379  0.0380  0.03
Rangell 2001   20  0.448  0.0310  0.1511  0.614  0.6610  0.63
Richter 1976   12  0.4917  0.0115  0.1010  0.6323  0.718  0.67
Rosen 1989   13  0.484  0.108  0.218  0.688  0.669  0.67
Rosenthal 1930   81  0.0958  0.0083  0.0374  0.0366  0.0483  0.03
Rosenthal 1931   82  0.0383  0.0080  0.0377  0.0350  0.0574  0.04
Rosenthal 1931b   78  0.1262  0.0073  0.0375  0.0345  0.1072  0.05
Rosenthal 1931c   74  0.1566  0.0070  0.0470  0.0459  0.0479  0.04
Rosenthal 1931d   79  0.1290  0.0076  0.0471  0.0449  0.0578  0.04
Rossi 2007   71  0.1769  0.0075  0.0384  0.0324  0.2952  0.09
Rubinstein 1939   86  -0.0184  0.0086  0.0386  0.0389  0.0286  0.02
Rubinstein 1952   41  0.3325  0.0049  0.0651  0.0634  0.2648  0.12
Rubinstein 1966   44  0.3274  0.0032  0.0930  0.3430  0.2535  0.29
Schilhawsky 1960   28  0.4013  0.0119  0.1126  0.443  0.7019  0.55
Shebanova 2002   9  0.5048  0.0012  0.0914  0.5530  0.5324  0.54
Smith 1975   68  0.2038  0.0072  0.0380  0.0352  0.0673  0.04
Sokolov 2002   65  0.2420  0.0050  0.0749  0.0760  0.0367  0.05
Sztompka 1959   43  0.3260  0.0044  0.0644  0.1357  0.0653  0.09
Tomsic 1995   42  0.3323  0.0047  0.0750  0.0727  0.2641  0.13
Uninsky 1932   39  0.3343  0.0051  0.0655  0.0652  0.0662  0.06
Uninsky 1971   60  0.2519  0.0037  0.0742  0.1443  0.1440  0.14
Wasowski 1980   49  0.3070  0.0054  0.0661  0.0660  0.0566  0.05
Zak 1937   4  0.533  0.132  0.204  0.742  0.821  0.78
Zak 1951   7  0.5111  0.013  0.215  0.722  0.822  0.77
Random 1   88  -0.0667  0.0089  0.0188  0.0187  0.0290  0.01
Random 2   90  -0.0885  0.0088  0.0189  0.0185  0.0289  0.01
Random 3   89  -0.0771  0.0090  0.0190  0.0153  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).