Riftbound · España

Career Mode · career-v1.0.0

What it measures: demonstrated competitive quality over time. What it does not measure: how often someone plays.

We do not add up every event, because a sum rewards availability: whoever plays twice as much accumulates twice the chances to score at the same level. Career is a bounded average, so adding an event worse than the ones already counted never raises the score.

AWR   = (W - byes + 0,5·D + 6·0,5) / (W - byes + L + D + 6)
S     = 1 + (sigma - 0,5)/0,5 · amplitud            S en [0.85 ; 1.2)
q     = 0,5 + (AWR - 0,5) · T · S                   T = 1 | 2
k_c   = min( n , max( 10 , ceil(n · 0,5) ) )
score = 100 · ( 0,5 + suma(q - 0,5) / max(pesos, 10) · 1.4 )

Adjusted win rate

Corrected for sample size: every career starts with 6 imaginary neutral matches, so 3-0 does not claim what 30-10 claims. A draw is half a point.

Event tier

A featured competitive event weighs about double an ordinary one. The tier comes from each Game's canonical methodology, never from the event title or an editorial badge.

Strength of opposition

The same result is worth more against stronger opposition, bounded between x0.85 and x1.2. Strength is measured with information from BEFORE the event: an event cannot retroactively prove its own field was strong.

Maturity

A career starts with 10 imaginary average performances; each real event displaces one. Until then the score stays close to neutral.

Best 50%

Below maturity every event counts, so nothing can be cherry-picked. Above it, Career uses the top half of your performances — the same proportion for everyone.

Byes

A bye is not a win: there was no opponent. It is discounted from performance and never raises strength of opposition.

Final position

Not part of the Career Score. Matches reconstruct wins and losses but not official tiebreaks, and depending on position would leave recovered events incomparable.

Consistency

Shown as a statistic, weight 0 in the score. Measured one way it repeated performance; measured the other it rewarded being uniformly mediocre.

Scale

0-100 with a fixed anchor: 50 is neutral performance, around 80 a very strong career. It is not normalised against the current best player, so nobody's history is rewritten when a phenomenon appears.

How this methodology was validated

• The previous Career added up each Season's score, and that sum rewarded volume: its correlation with the number of events was 0.89 in Lorcana and 0.86 in Riftbound, far above its correlation with performance.
• A fixed cap such as "your best 12 events" still rewarded volume: picking 12 out of many versus 12 out of 12 was worth 9.24 points out of 100 at equal real level. The proportional approach reduced that to 0.24.
• A multiplicative confidence correction produced an absurd result: adding a defeat could RAISE the Career Score, because the bad result did not enter the average but did increase confidence. It was replaced by neutral padding.
• With 6 starting performances, careers that were too short reached the top. With 10 the maturity proved defensible and short samples left the Top.
• The final model passes its invariants and resists exploitation: farming small events, avoiding strong opponents, playing only featured events or accumulating mediocre samples all lose points.