Risler 1920

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3045  0.0039  0.0739  0.0741  0.0542  0.06
Ashkenazy 1981   47  0.2744  0.0061  0.0546  0.0560  0.0461  0.04
Beliavsky 2004   57  0.2341  0.0058  0.0452  0.0435  0.1040  0.06
BenOr 1989   31  0.3332  0.0033  0.0547  0.0546  0.0743  0.06
Biret 1990   9  0.3816  0.014  0.153  0.5919  0.276  0.40
Blet 2003   2  0.422  0.082  0.262  0.6020  0.521  0.56
Block 1995   11  0.3811  0.019  0.128  0.5224  0.228  0.34
Brailowsky 1960   5  0.4115  0.018  0.126  0.5648  0.0813  0.21
Chiu 1999   12  0.3646  0.0026  0.0819  0.2842  0.0522  0.12
Clidat 1994   49  0.2649  0.0056  0.0460  0.0439  0.0748  0.05
Cohen 1997   50  0.2629  0.0059  0.0456  0.0440  0.0751  0.05
Coop 1987   36  0.3125  0.0023  0.0625  0.2259  0.0431  0.09
Cortot 1951   63  0.1831  0.0063  0.0454  0.0446  0.0653  0.05
Czerny 1949   42  0.2922  0.0135  0.0545  0.0545  0.0647  0.05
Czerny 1949b   44  0.2928  0.0029  0.0928  0.1750  0.0530  0.09
Ezaki 2006   46  0.2762  0.0047  0.0551  0.0547  0.0736  0.06
Falvay 1989   15  0.3530  0.0028  0.0924  0.2355  0.0526  0.11
Ferenczy 1958   51  0.2643  0.0040  0.0640  0.0641  0.0834  0.07
Fiorentino 1962   22  0.3434  0.007  0.149  0.5127  0.344  0.42
Fliere 1977   29  0.3338  0.0043  0.0736  0.0748  0.0537  0.06
Fou 1978   10  0.386  0.0217  0.0913  0.4141  0.0715  0.17
Francois 1956   32  0.323  0.0421  0.0729  0.1334  0.0728  0.10
Hatto 1997   20  0.3427  0.0034  0.0641  0.0643  0.0741  0.06
Horowitz 1971   35  0.3133  0.0037  0.0734  0.0758  0.0452  0.05
Horowitz 1985   48  0.2747  0.0031  0.0531  0.1151  0.0729  0.09
Indjic 2001   23  0.3435  0.0042  0.0735  0.0740  0.0835  0.07
Kapell 1951   38  0.3051  0.0022  0.0618  0.2847  0.0621  0.13
Kiepura 1999   34  0.3242  0.0025  0.0817  0.3056  0.0424  0.11
Kilenyi 1937   7  0.3921  0.0112  0.1512  0.4645  0.0714  0.18
Kissin 1993   33  0.3218  0.0132  0.0532  0.1045  0.0732  0.08
Kitain 1937   56  0.2454  0.0050  0.0453  0.0448  0.0562  0.04
Kushner 1990   26  0.3348  0.0030  0.0730  0.1359  0.0433  0.07
Levy 1951   45  0.2819  0.0141  0.0738  0.0759  0.0538  0.06
Luisada 1990   3  0.424  0.033  0.174  0.5711  0.563  0.56
Lushtak 2004   61  0.2157  0.0049  0.0364  0.0363  0.0364  0.03
Lympany 1968   59  0.2265  0.0060  0.0550  0.0561  0.0454  0.04
Magaloff 1977   8  0.3923  0.016  0.147  0.553  0.572  0.56
Magaloff 1977b   37  0.308  0.0114  0.0927  0.1819  0.2812  0.22
Magin 1975   4  0.415  0.035  0.165  0.5730  0.295  0.41
Milkina 1970   54  0.2564  0.0052  0.0458  0.0457  0.0457  0.04
Mohovich 1999   58  0.2340  0.0055  0.0548  0.0541  0.0650  0.05
Nadelmann 1956   6  0.409  0.0111  0.1410  0.4855  0.0419  0.14
Ohlsson 1999   43  0.2912  0.0157  0.0455  0.0450  0.0558  0.04
Olejniczac 1990   25  0.3314  0.0110  0.1411  0.4728  0.277  0.36
Olejniczak 1991   21  0.3452  0.0019  0.0816  0.3350  0.0717  0.15
Osinska 1989   19  0.3450  0.0027  0.0823  0.2440  0.0720  0.13
Paderewski 1912   55  0.2453  0.0053  0.0459  0.0452  0.0459  0.04
Perahia 1994   53  0.2559  0.0054  0.0363  0.0351  0.0560  0.04
Perlemuter 1986   30  0.3339  0.0038  0.0737  0.0762  0.0445  0.05
Poblocka 1999   17  0.3517  0.0120  0.0726  0.1944  0.0625  0.11
Rangell 2001   62  0.2066  0.0062  0.0461  0.0457  0.0463  0.04
Risler 1920   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   60  0.2255  0.0051  0.0362  0.0342  0.0949  0.05
Rubinstein 1939   27  0.3324  0.0144  0.0833  0.0853  0.0439  0.06
Rubinstein 1952   28  0.3310  0.0115  0.0820  0.2837  0.0523  0.12
Rubinstein 1966   16  0.3536  0.0024  0.0822  0.2762  0.0427  0.10
Rummel 1943   24  0.337  0.0113  0.0921  0.2722  0.2410  0.25
Shebanova 2002   13  0.3626  0.0016  0.1014  0.4047  0.0618  0.15
Smith 1975   14  0.3537  0.0036  0.0642  0.0663  0.0356  0.04
Szpilman 1948   18  0.3513  0.0118  0.0815  0.3628  0.279  0.31
Uninsky 1971   52  0.2620  0.0146  0.0643  0.0656  0.0546  0.05
Wasowski 1980   39  0.3056  0.0048  0.0549  0.0561  0.0355  0.04
Weissenberg 1971   40  0.3058  0.0045  0.0544  0.0553  0.0544  0.05
Average   1  0.501  0.591  0.581  0.8047  0.0611  0.22
Random 1    64  0.1163  0.0064  0.0457  0.041  0.6516  0.16
Random 2   66  0.0060  0.0065  0.0165  0.0143  0.0566  0.02
Random 3   65  0.0061  0.0066  0.0166  0.0135  0.0865  0.03

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).