
España · Season · Attack of the Vine!
Disney Lorcana · España
1,719Ranked playersSep 13, 2026Last updated
Disney Lorcana · España
Season · Attack of the Vine!
- 011,030.9Score8Counted events30–2–1W–L–D#1Best finish+40
- 021,026.9Score8Counted events36–7–7W–L–D#1Best finish+1210
- 031,003.2Score8Counted events31–3–6W–L–D#1Best finish-2
- 04SOHEXORA // PLAYER932.3Score8Counted events27–1–5W–L–D#1Best finishSoul🔥🇪🇸 Málaga+3
- 05889.45Score8Counted events26–4–5W–L–D#1Best finish+114
- 06JDHEXORA // PLAYER877.2Score8Counted events25–2–2W–L–D#1Best finishJdelolmo🇪🇸 Alicante/Alacant+200
- 07839Score8Counted events25–3–1W–L–D#1Best finish+35
- 08ELHEXORA // PLAYER826.4Score8Counted events29–6–0W–L–D#1Best finishElfamistika🇪🇸 Ourense+216
- 09822.4Score8Counted events29–4–6W–L–D#1Best finish+255
- 10803.75Score8Counted events21–5–6W–L–D#1Best finish+336
- 11803.7Score8Counted events19–4–1W–L–D#1Best finish+47
- 12SOHEXORA // PLAYER791.45Score8Counted events21–3–4W–L–D#1Best finishUnchanged
- 13766.6Score8Counted events22–6–0W–L–D#1Best finish+78
- 14GAHEXORA // PLAYER757.45Score8Counted events24–8–3W–L–D#2Best finish+57
- 15YOHEXORA // PLAYER756.15Score8Counted events23–7–3W–L–D#1Best finishYomi 🐱🇪🇸 Málaga+169
- 16752Score8Counted events22–7–0W–L–D#1Best finish+1
- 17747.45Score8Counted events24–5–4W–L–D#1Best finish+93
- 18LOHEXORA // PLAYER745.45Score8Counted events19–6–2W–L–D#1Best finishLony🇪🇸 Alicante/Alacant+1039
- 19742.2Score8Counted events24–5–1W–L–D#1Best finish+558
- 20KHHEXORA // PLAYER728.8Score8Counted events22–10–3W–L–D#2Best finishKhay🇪🇸 Illes BalearsUnchanged
- 21724.9Score8Counted events30–8–3W–L–D#1Best finish+128
- 22703.2Score8Counted events22–9–1W–L–D#1Best finishUnchanged
- 23VAHEXORA // PLAYER697Score8Counted events20–6–4W–L–D#1Best finishValentín (Ardemix)🇪🇸 Madrid+82
- 24KEHEXORA // PLAYER694.65Score6Counted events18–2–4W–L–D#1Best finishKeshgi🇪🇸 Valencia/ValènciaUnchanged
- 25694.6Score8Counted events23–4–1W–L–D#1Best finish+359
- 26ABHEXORA // PLAYER692.4Score8Counted events21–6–4W–L–D#1Best finish+157
- 27AZHEXORA // PLAYER688.6Score8Counted events18–7–3W–L–D#2Best finishAzkan🇪🇸 Alicante/Alacant+401
- 28ÁRHEXORA // PLAYER670.5Score8Counted events21–12–3W–L–D#1Best finishÁlvaro Roca🇪🇸 Madrid+9
- 29LLHEXORA // PLAYER666.95Score8Counted events21–7–3W–L–D#1Best finishLord Lucha🇪🇸 BarcelonaUnchanged
- 30SOHEXORA // PLAYER666.35Score8Counted events23–11–2W–L–D#1Best finishSocram🇪🇸 Pontevedra+48
- 31COHEXORA // PLAYER653.4Score8Counted events20–6–2W–L–D#1Best finishColeto-San🇪🇸 Alicante/Alacant-28
- 32FRHEXORA // PLAYER649.1Score8Counted events20–8–4W–L–D#1Best finishFrancisco🇪🇸 Murcia+769
- 33647.8Score8Counted events19–7–5W–L–D#2Best finish+123
- 34642.9Score8Counted events27–6–3W–L–D#1Best finish+32
- 35VIHEXORA // PLAYER638.6Score8Counted events23–10–3W–L–D#1Best finishViti🇪🇸 Madrid+199
- 36631.35Score5Counted events18–2–4W–L–D#1Best finish+40
- 37629.35Score8Counted events29–9–6W–L–D#1Best finish+661
- 38622.9Score8Counted events21–9–1W–L–D#2Best finish+312
- 39ALHEXORA // PLAYER620.1Score8Counted events18–6–2W–L–D#1Best finishAlejandro🇪🇸 Albacete+229
- 40DJHEXORA // PLAYER619.35Score8Counted events22–12–1W–L–D#1Best finishDJCloud13🇪🇸 Sevilla+566
- 41JOHEXORA // PLAYER617.35Score8Counted events31–11–1W–L–D#1Best finish-26
- 42CLHEXORA // PLAYER612Score7Counted events21–5–2W–L–D#1Best finishClares🇪🇸 Murcia+281
- 43610.6Score6Counted events22–3–5W–L–D#1Best finish-7
- 44SKHEXORA // PLAYER602.7Score7Counted events19–7–0W–L–D#1Best finishsk1rg3🇪🇸 Zaragoza+195
- 45AAHEXORA // PLAYER601.55Score8Counted events25–9–1W–L–D#1Best finish+1
- 46600.15Score8Counted events28–11–2W–L–D#1Best finish+346
- 47596.2Score8Counted events20–7–7W–L–D#1Best finish-4
- 48595.4Score8Counted events24–12–1W–L–D#1Best finish-4
- 49AUHEXORA // PLAYER595Score8Counted events19–7–0W–L–D#1Best finishAuriel🇪🇸 ZaragozaUnchanged
- 50590.9Score8Counted events21–9–3W–L–D#2Best finish+136
MethodologyPublished generation · canonical score
HEXORA displays the published generation without recalculation. Movement comes from published snapshots.
- Ranked players
- 1719
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.
