| Player A | Player B | Player C | Player D | |||
|---|---|---|---|---|---|---|
| Elo | 2000 | 1000 | 1500 | 1500 | ||
| Real Elo | 2000 | 1000 | 1500 | 1500 | ||
| Shown Strength | 8.77118932 | 2.961619375 | 5.096756246 | 5.096756246 | ||
| Real Strength | 8.77118932 | 2.961619375 | 5.096756246 | 5.096756246 | ||
| Current Team Elo | 1500 | 1500 | ||||
| New Team Elo (as it should be) | 2267.944155 | 2138.412146 | ||||
| Winrate vs 1500 elo Team | 0.678229285 | 0.5 | ||||
| Net average elo gain | -8.296662885 | 19.70333711 |
Team 1 wins with 67.8 % probability vs team 2 but player a loses 8.3 elo on average and player b wins 19.7 elo on average.
And that’s on games where the devs think “these teams are equally matched”.
fyi: the calc assumes that player a loses 30 elo when losing vs team 2 and player b loses 2 elo. That’s how I interpreted the dev’s post. But devs are cryptic.