AverageTempo

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.9838  0.0012  0.1212  0.45X  AverageTempo29  0.00
Bacha 1997   21  0.9741  0.0024  0.0722  0.23X  AverageTempo2  0.00
Barbosa 1983   27  0.9636  0.0025  0.0824  0.21X  AverageTempo47  0.00
Biret 1990   28  0.9649  0.0033  0.0740  0.07X  AverageTempo40  0.00
Block 1995   43  0.9134  0.0044  0.0930  0.09X  AverageTempo20  0.00
Brailowsky 1960   15  0.9750  0.0026  0.0925  0.17X  AverageTempo11  0.00
Chiu 1999   20  0.9721  0.0127  0.0738  0.07X  AverageTempo13  0.00
Clidat 1994   13  0.9810  0.0310  0.175  0.50X  AverageTempo15  0.00
Cohen 1997   37  0.9527  0.0037  0.1127  0.11X  AverageTempo30  0.00
Cortot 1951   35  0.9546  0.0035  0.0834  0.08X  AverageTempo43  0.00
Csalog 1996   9  0.9819  0.017  0.147  0.50X  AverageTempo51  0.00
Czerny 1990   31  0.9611  0.0216  0.1114  0.42X  AverageTempo36  0.00
Ezaki 2006   24  0.9718  0.0122  0.0818  0.25X  AverageTempo1  0.00
Ferenczy 1958   30  0.964  0.0829  0.0741  0.07X  AverageTempo8  0.00
Fliere 1977   19  0.9715  0.0123  0.1016  0.30X  AverageTempo7  0.00
Fou 1978   40  0.9314  0.0141  0.0739  0.07X  AverageTempo25  0.00
Francois 1956   16  0.9747  0.0014  0.1017  0.29X  AverageTempo53  0.00
Grinberg 1951   29  0.9624  0.0036  0.1128  0.11X  AverageTempo19  0.00
Hatto 1993   5  0.982  0.114  0.148  0.47X  AverageTempo42  0.00
Hatto 1997   7  0.9842  0.009  0.2410  0.47X  AverageTempo6  0.00
Indjic 2001   8  0.9832  0.008  0.159  0.47X  AverageTempo24  0.00
Jonas 1947   3  0.981  0.261  0.261  0.62X  AverageTempo22  0.00
Kapell 1951   6  0.989  0.0311  0.1313  0.45X  AverageTempo31  0.00
Kiepura 1999   42  0.9128  0.0042  0.0550  0.05X  AverageTempo3  0.00
Kushner 1989   26  0.9631  0.0034  0.0835  0.08X  AverageTempo28  0.00
Luisada 1991   23  0.9745  0.0020  0.0719  0.25X  AverageTempo4  0.00
Lushtak 2004   22  0.9729  0.0028  0.0643  0.06X  AverageTempo18  0.00
Magaloff 1978   44  0.8944  0.0043  0.0645  0.06X  AverageTempo14  0.00
Meguri 1997   12  0.987  0.055  0.136  0.50X  AverageTempo48  0.00
Milkina 1970   41  0.9216  0.0140  0.0833  0.08X  AverageTempo32  0.00
Mohovich 1999   25  0.9717  0.0119  0.1026  0.17X  AverageTempo26  0.00
Niedzielski 1931   34  0.9525  0.0021  0.0721  0.24X  AverageTempo21  0.00
Ohlsson 1999   36  0.958  0.0331  0.0831  0.08X  AverageTempo41  0.00
Olejniczak 1990   14  0.9839  0.0015  0.1515  0.34X  AverageTempo49  0.00
Osinska 1989   39  0.9326  0.0039  0.0832  0.08X  AverageTempo10  0.00
Rangell 2001   46  0.8520  0.0147  0.0646  0.06X  AverageTempo38  0.00
Richter 1976   38  0.9330  0.0038  0.1029  0.10X  AverageTempo37  0.00
Rubinstein 1938   45  0.8648  0.0045  0.0737  0.07X  AverageTempo44  0.00
Rubinstein 1952   47  0.8433  0.0046  0.0648  0.06X  AverageTempo50  0.00
Rubinstein 1961   49  0.8037  0.0049  0.0649  0.06X  AverageTempo46  0.00
Rubinstein 1966   50  0.7923  0.0050  0.0736  0.07X  AverageTempo52  0.00
Shebanova 2002   32  0.9640  0.0032  0.0642  0.06X  AverageTempo9  0.00
Smidowicz 1948   1  0.993  0.112  0.302  0.56X  AverageTempo35  0.00
Smidowicz 1948b   2  0.9935  0.003  0.264  0.55X  AverageTempo34  0.00
Smith 1975   48  0.8213  0.0248  0.0647  0.06X  AverageTempo16  0.00
Sofronitsky 1949   17  0.9743  0.0018  0.0720  0.25X  AverageTempo17  0.00
Sztompka 1959   33  0.9522  0.0130  0.0644  0.06X  AverageTempo39  0.00
Tomsic 1995   4  0.986  0.066  0.123  0.56X  AverageTempo33  0.00
Uninsky 1971   11  0.9812  0.0213  0.1611  0.47X  AverageTempo45  0.00
Wasowski 1980   18  0.975  0.0617  0.0923  0.22X  AverageTempo5  0.00
Average Tempo   target  targettarget  targettarget  targettarget  targetX  AverageTempotarget  target
Random 1   52  0.0351  0.0051  0.0252  0.02X  AverageTempo23  0.00
Random 2   53  -0.0752  0.0053  0.0253  0.02X  AverageTempo12  0.00
Random 3   51  0.0453  0.0052  0.0351  0.03X  AverageTempo27  0.00
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).