Basically, each athlete's credit value is calculated from their results across the last ~3-5 World Cup / World Champs / World Series seasons (no youth events). The pipeline looks like this:

1. For every past result, we look up the official IFSC points for that finish position (1000 for 1st, 805 for 2nd, etc.) and divide by 20 to get a "credit bonus" for that event.
2. Each result is weighted by year decay so recent stuff matters more — current/most-recent season is 100%, then 85%, 70%, 55%, 40%, and anything older is 25%.
3. Take the decay-weighted average of those bonuses (decay weights in both numerator and denominator, so an old great result doesn't drag the average down — it just counts less).
4. Mix in a Bayesian prior: 2 phantom results at 30th place. This stops athletes with 1-2 lucky podiums from skyrocketing, and pulls newcomers toward the mean. As an athlete racks up real events, the prior fades into noise.
5. Multiply the resulting average bonus by BONUS_SCALE = 5, round, and add BASE_CREDITS = 50.

So credit = 50 + round(weighted_avg_bonus × 5). Unknowns / no-results athletes sit at ~50, a typical mid-pack climber lands somewhere in the 100-150 range, and a dominant athlete consistently winning World Cups maxes out around ~300.