Ratings - Chess.com VS Chess South Africa Rating System
Often the question is asked how to convert your online rating to your actual ratings. I have found some answers and will show you how you can make your online rating be a measure of your over the board strength.
The questions will be:
- Can you use Blitz
- Can you use Rapid
- What formulas can you use
Can you use Blitz - YES
| t-Test: Paired Two Sample for Means | ||
| CHESSA | BLITZ | |
| Mean | 1308.26 | 1336.52 |
| Variance | 107847.7065 | 141929.0302 |
| Observations | 50 | 50 |
| Pearson Correlation | 0.832887415 | |
| Hypothesized Mean Difference | 0 | |
| df | 49 | |
| t Stat | -0.956056195 | |
| P(T<=t) one-tail | 0.17186856 | |
| t Critical one-tail | 1.676550893 | |
| P(T<=t) two-tail | 0.343737119 | |
| t Critical two-tail | 2.009575237 |
The Blitz Correlate well over a sample of 50 players. Pearson Correlation 0.83.
Can you use Rapid - YES
| t-Test: Paired Two Sample for Means | ||
| CHESSA | RAPID | |
| Mean | 1287.057692 | 1355.769231 |
| Variance | 106863.1535 | 115707.632 |
| Observations | 52 | 52 |
| Pearson Correlation | 0.891775235 | |
| Hypothesized Mean Difference | 0 | |
| df | 51 | |
| t Stat | -3.182183539 | |
| P(T<=t) one-tail | 0.001244818 | |
| t Critical one-tail | 1.67528495 | |
| P(T<=t) two-tail | 0.002489635 | |
| t Critical two-tail | 2.00758377 |
The RAPID Correlate well over a sample of 52 players. Pearson Correlation 0.89.
What formulas can we use for Blitz:

CHESSA = 0.726 BLITZ + 337.9
What formulas can we use for Blitz:

CHESSA = 0.857 RAPID + 125.14
SIMPLIFIED TABLES:
| Chess.com: Rapid | Chessa | Variance | Chess.com: Blitz | Chessa | Variance | |
| 800 | 811 | -11 | 800 | 919 | -119 | |
| 1000 | 982 | 18 | 1000 | 1064 | -64 | |
| 1200 | 1154 | 46 | 1200 | 1209 | -9 | |
| 1400 | 1325 | 75 | 1400 | 1354 | 46 | |
| 1600 | 1496 | 104 | 1600 | 1500 | 101 | |
| 1800 | 1668 | 132 | 1800 | 1645 | 155 | |
| 2000 | 1839 | 161 | 2000 | 1790 | 210 | |
| 2200 | 2011 | 189 | 2200 | 1935 | 265 | |
| 2400 | 2182 | 218 | 2400 | 2080 | 320 | |
| 2600 | 2353 | 247 | 2600 | 2226 | 375 | |
| 2800 | 2525 | 275 | 2800 | 2371 | 429 | |
| 3000 | 2696 | 304 | 3000 | 2516 | 484 |
But how do I translate Chessa to FIDE or other systems:
| t-Test: Paired Two Sample for Means | ||
| CHESSA Rating | FIDE Rating | |
| Mean | 2075.163934 | 2042.721311 |
| Variance | 19411.50601 | 20605.57104 |
| Observations | 61 | 61 |
| Pearson Correlation | 0.9101917 | |
| Hypothesized Mean Difference | 0 | |
| df | 60 | |
| t Stat | 4.217180735 | |
| P(T<=t) one-tail | 4.23698E-05 | |
| t Critical one-tail | 1.670648865 | |
| P(T<=t) two-tail | 8.47395E-05 | |
| t Critical two-tail | 2.000297822 |
The Rating systems Correlate well over a sample of 61 players. Pearson Correlation 0.91.
FORMULA:

CHESSA = 0.857 RAPID + 125.14
OR
CHESSA = 0.726 BLITZ + 337.9
THEN
FIDE = 0.9378 CHESSA + 125.14
SUMMARY LOOKUP TABLES:
| Chess.com: Rapid | Chessa | FIDE | Variance | Chess.com: Blitz | Chessa | FIDE | Variance | |
| 800 | 811 | 885 | -85 | 800 | 919 | 987 | -119 | |
| 1000 | 982 | 1046 | -46 | 1000 | 1064 | 1123 | -64 | |
| 1200 | 1154 | 1207 | -7 | 1200 | 1209 | 1259 | -9 | |
| 1400 | 1325 | 1368 | 32 | 1400 | 1354 | 1395 | 46 | |
| 1600 | 1496 | 1528 | 72 | 1600 | 1500 | 1531 | 101 | |
| 1800 | 1668 | 1689 | 111 | 1800 | 1645 | 1668 | 155 | |
| 2000 | 1839 | 1850 | 150 | 2000 | 1790 | 1804 | 210 | |
| 2200 | 2011 | 2011 | 189 | 2200 | 1935 | 1940 | 265 | |
| 2400 | 2182 | 2171 | 229 | 2400 | 2080 | 2076 | 320 | |
| 2600 | 2353 | 2332 | 268 | 2600 | 2226 | 2212 | 375 | |
| 2800 | 2525 | 2493 | 307 | 2800 | 2371 | 2348 | 429 | |
| 3000 | 2696 | 2654 | 346 | 3000 | 2516 | 2485 | 484 |
GO TEST IT ON YOUR RATINGS AND LET ME KNOW!
Remember the more you play the lower your RD and the more accurate your rating...