Aurora, Legacy of Tempest at Calling: Kyoto 2026
Aurora, Legacy of Tempest
9 players • Match results by round
Tip: Click any player row to see detailed round-by-round calculations
37th • 8-4-0
100%
Meta
+1.7
Perf
5.9
Surp
4.1
Diff
R1
R1 CC
Round 1: Win vs Chard Tan (Betsy, Skin in the Game) - Expected: Not enough data (7 matches)
Round 2: Loss vs Yuma Ishikura (Fang, Dracai of Blades) - Expected: 62:38, favorite upset
R3
R3 CC
Round 3: Win vs 藤田 隼輔 (Oscilio, Forked Continuum) - Expected: Not enough data (1 matches)
R4
R4 CC
Round 4: Loss vs Shoma Nakama (Ira, Scarlet Revenger) - Expected: Not enough data (5 matches)
R5
R5 CC
Round 5: Win vs Kenji Enomoto (Cindra, Dracai of Retribution) - Expected: Not enough data (7 matches)
60:40
R6 CC
Round 6: Win vs Ikumi Miyao (Fang, Dracai of Blades) - Expected: 62:38
60:40
R7 CC
Round 7: Win vs Hiroki Goto (Fang, Dracai of Blades) - Expected: 62:38
R8
R8 CC
Round 8: Loss vs Dylan Thompson (Arakni, Marionette) - Expected: Not enough data (8 matches)
R9
R9 CC
Round 9: Win vs Takumi Watanabe (Viserai, the Forsaken) - Expected: Not enough data (4 matches)
50:50
R10 CC
Round 10: Win vs Kenta Miki (Levia, Shadowborn Abomination) - Expected: 50:50
R11
R11 CC
Round 11: Loss vs masaru okuda (Arakni, Marionette) - Expected: Not enough data (8 matches)
R12
R12 CC
Round 12: Win vs K. Tanaka (Gravy Bones, Shipwrecked Looter) - Expected: Not enough data (4 matches)
Meta Fit
100% (12/12 favorable matchups)
Performance
+1.7 Wins (6.3 expected, 8 actual)
Surprise
5.9 total deviation
Difficulty
4.1 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Betsy, Skin in the Game | 50% | Win |
| R2 | Fang, Dracai of Blades | 60% | Loss |
| R3 | Oscilio, Forked Continuum | 50% | Win |
| R4 | Ira, Scarlet Revenger | 50% | Loss |
| R5 | Cindra, Dracai of Retribution | 50% | Win |
| R6 | Fang, Dracai of Blades | 60% | Win |
| R7 | Fang, Dracai of Blades | 60% | Win |
| R8 | Arakni, Marionette | 50% | Loss |
| R9 | Viserai, the Forsaken | 50% | Win |
| R10 | Levia, Shadowborn Abomination | 50% | Win |
| R11 | Arakni, Marionette | 50% | Loss |
| R12 | Gravy Bones, Shipwrecked Looter | 50% | Win |
dropped • 4-3-0
86%
Meta
+0.6
Perf
3.6
Surp
2.5
Diff
R1
R1 CC
Round 1: Loss vs 大誠 瀧下 (Fai, Rising Rebellion) - Expected: Not enough data (7 matches)
Round 2: Win vs Satoshi Kawamoto (Jarl Vetreiði) - Expected: 30:70, underdog victory
R3
R3 CC
Round 3: Loss vs Tomoyuki Yagura (Lyath Goldmane, Vile Savant) - Expected: Not enough data (1 matches)
R4
R4 CC
Round 4: Win vs Ken Kuwahara (Fai, Rising Rebellion) - Expected: Not enough data (7 matches)
R5
R5 CC
Round 5: Win vs Taiki Koike (Gravy Bones, Shipwrecked Looter) - Expected: Not enough data (4 matches)
R6
R6 CC
Round 6: Loss vs Hiroki Saito (Zyggy Starlight) - Expected: Not enough data (2 matches)
60:40
R7 CC
Round 7: Win vs Ikumi Miyao (Fang, Dracai of Blades) - Expected: 62:38
Meta Fit
86% (6/7 favorable matchups)
Performance
+0.6 Wins (3.4 expected, 4 actual)
Surprise
3.6 total deviation
Difficulty
2.5 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Fai, Rising Rebellion | 50% | Loss |
| R2 | Jarl Vetreiði | 30% | Win |
| R3 | Lyath Goldmane, Vile Savant | 50% | Loss |
| R4 | Fai, Rising Rebellion | 50% | Win |
| R5 | Gravy Bones, Shipwrecked Looter | 50% | Win |
| R6 | Zyggy Starlight | 50% | Loss |
| R7 | Fang, Dracai of Blades | 60% | Win |
dropped • 3-4-0
86%
Meta
-0.4
Perf
3.2
Surp
1.8
Diff
R1
R1 CC
Round 1: Loss vs KOTA SANJO (Fai, Rising Rebellion) - Expected: Not enough data (7 matches)
R2
R2 CC
Round 2: Loss vs 英 鈴木 (Ser Boltyn, Breaker of Dawn) - Expected: Not enough data (7 matches)
50:50
R3 CC
Round 3: Win vs Yusuke Ueda (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
50:50
R4 CC
Round 4: Loss vs RYOTO KAGAWA (Levia, Shadowborn Abomination) - Expected: 50:50
60:40
R5 CC
Round 5: Win vs KOUKI TOYONARI (Fang, Dracai of Blades) - Expected: 62:38
R6
R6 CC
Round 6: Win vs JIA NIAN WANG (Malice, Domina of the Dead) - Expected: Not enough data (3 matches)
30:70
R7 CC
Round 7: Loss vs Mitsuhiro Iwata (Jarl Vetreiði) - Expected: 30:70
Meta Fit
86% (6/7 favorable matchups)
Performance
-0.4 Wins (3.4 expected, 3 actual)
Surprise
3.2 total deviation
Difficulty
1.8 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Fai, Rising Rebellion | 50% | Loss |
| R2 | Ser Boltyn, Breaker of Dawn | 50% | Loss |
| R3 | Aurora, Legacy of Tempest | 50% | Win |
| R4 | Levia, Shadowborn Abomination | 50% | Loss |
| R5 | Fang, Dracai of Blades | 60% | Win |
| R6 | Malice, Domina of the Dead | 50% | Win |
| R7 | Jarl Vetreiði | 30% | Loss |
dropped • 3-4-0
86%
Meta
-0.5
Perf
3.3
Surp
2.1
Diff
30:70
R1 CC
Round 1: Loss vs Mitsuhiro Iwata (Jarl Vetreiði) - Expected: 30:70
R2
R2 CC
Round 2: Loss vs Daisuke Koseki (Gravy Bones, Shipwrecked Looter) - Expected: Not enough data (4 matches)
50:50
R3 CC
Round 3: Loss vs Hugo Bessho-Symm (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
R4
R4 CC
Round 4: Win vs hiroyuki sasaki (Fai, Rising Rebellion) - Expected: Not enough data (7 matches)
60:40
R5 CC
Round 5: Win vs XIN RUI SONG (Fang, Dracai of Blades) - Expected: 62:38
Round 6: Loss vs Akira Takezaki (Fang, Dracai of Blades) - Expected: 62:38, favorite upset
R7
R7 CC
Round 7: Win vs satoshi kurokawa (Gravy Bones, Shipwrecked Looter) - Expected: Not enough data (4 matches)
Meta Fit
86% (6/7 favorable matchups)
Performance
-0.5 Wins (3.5 expected, 3 actual)
Surprise
3.3 total deviation
Difficulty
2.1 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Jarl Vetreiði | 30% | Loss |
| R2 | Gravy Bones, Shipwrecked Looter | 50% | Loss |
| R3 | Aurora, Legacy of Tempest | 50% | Loss |
| R4 | Fai, Rising Rebellion | 50% | Win |
| R5 | Fang, Dracai of Blades | 60% | Win |
| R6 | Fang, Dracai of Blades | 60% | Loss |
| R7 | Gravy Bones, Shipwrecked Looter | 50% | Win |
dropped • 2-5-0
100%
Meta
-1.6
Perf
3.4
Surp
0.7
Diff
60:40
R1 CC
Round 1: Win vs ケイタ サト (Fang, Dracai of Blades) - Expected: 62:38
50:50
R2 CC
Round 2: Loss vs Justin Cu (Levia, Shadowborn Abomination) - Expected: 50:50
R3
R3 CC
Round 3: Loss vs Kanato Kusuoka (Dorinthea Ironsong) - Expected: Not enough data (2 matches)
50:50
R4 CC
Round 4: Win vs Haruki Ueda (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
R5
R5 CC
Round 5: Loss vs Masaaki Ochi (Ira, Scarlet Revenger) - Expected: Not enough data (5 matches)
R6
R6 CC
Round 6: Loss vs ヤマモト ダイスケ (Ira, Scarlet Revenger) - Expected: Not enough data (5 matches)
R7
R7 CC
Round 7: Loss vs Kazuyoshi Tokizane (Betsy, Skin in the Game) - Expected: Not enough data (7 matches)
Meta Fit
100% (7/7 favorable matchups)
Performance
-1.6 Wins (3.6 expected, 2 actual)
Surprise
3.4 total deviation
Difficulty
0.7 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Fang, Dracai of Blades | 60% | Win |
| R2 | Levia, Shadowborn Abomination | 50% | Loss |
| R3 | Dorinthea Ironsong | 50% | Loss |
| R4 | Aurora, Legacy of Tempest | 50% | Win |
| R5 | Ira, Scarlet Revenger | 50% | Loss |
| R6 | Ira, Scarlet Revenger | 50% | Loss |
| R7 | Betsy, Skin in the Game | 50% | Loss |
dropped • 2-3-0
100%
Meta
-0.5
Perf
2.5
Surp
1.2
Diff
50:50
R1 CC
Round 1: Loss vs Soichiro Fukui (Levia, Shadowborn Abomination) - Expected: 50:50
50:50
R2 CC
Round 2: Win vs chikayuki akashi (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
R3
R3 CC
Round 3: Loss vs Yusuke Miki (Cindra, Dracai of Retribution) - Expected: Not enough data (7 matches)
R4
R4 CC
Round 4: Win vs JIA NIAN WANG (Malice, Domina of the Dead) - Expected: Not enough data (3 matches)
R5
R5 CC
Round 5: Loss vs Taiki Bamba (Arakni, Huntsman) - Expected: Not enough data (6 matches)
Meta Fit
100% (5/5 favorable matchups)
Performance
-0.5 Wins (2.5 expected, 2 actual)
Surprise
2.5 total deviation
Difficulty
1.2 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Levia, Shadowborn Abomination | 50% | Loss |
| R2 | Aurora, Legacy of Tempest | 50% | Win |
| R3 | Cindra, Dracai of Retribution | 50% | Loss |
| R4 | Malice, Domina of the Dead | 50% | Win |
| R5 | Arakni, Huntsman | 50% | Loss |
dropped • 1-4-0
100%
Meta
-1.6
Perf
2.6
Surp
0.6
Diff
R1
R1 CC
Round 1: Loss vs Yuuya Okawa (Arakni, Marionette) - Expected: Not enough data (8 matches)
50:50
R2 CC
Round 2: Loss vs Kenta Morino (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
R3
R3 CC
Round 3: Win vs 章裕 森 (Cindra, Dracai of Retribution) - Expected: Not enough data (7 matches)
Round 4: Loss vs Kyoshiro Takegahara (Fang, Dracai of Blades) - Expected: 62:38, favorite upset
R5
R5 CC
Round 5: Loss vs 雅文 尾形 (Katsu, the Wanderer) - Expected: Not enough data (1 matches)
Meta Fit
100% (5/5 favorable matchups)
Performance
-1.6 Wins (2.6 expected, 1 actual)
Surprise
2.6 total deviation
Difficulty
0.6 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Arakni, Marionette | 50% | Loss |
| R2 | Aurora, Legacy of Tempest | 50% | Loss |
| R3 | Cindra, Dracai of Retribution | 50% | Win |
| R4 | Fang, Dracai of Blades | 60% | Loss |
| R5 | Katsu, the Wanderer | 50% | Loss |
dropped • 1-3-0
100%
Meta
-1.0
Perf
2.0
Surp
0.5
Diff
R1
R1 CC
Round 1: Loss vs PANG CHEN (Betsy, Skin in the Game) - Expected: Not enough data (7 matches)
R2
R2 CC
Round 2: Win vs ryo inoue (Betsy, Skin in the Game) - Expected: Not enough data (7 matches)
R3
R3 CC
Round 3: Loss vs Yuki Matsumoto (Arakni, Marionette) - Expected: Not enough data (8 matches)
50:50
R4 CC
Round 4: Loss vs Ryo Yanase (Aurora, Legacy of Tempest) - Expected: 50:50 (mirror match)
Meta Fit
100% (4/4 favorable matchups)
Performance
-1.0 Wins (2.0 expected, 1 actual)
Surprise
2.0 total deviation
Difficulty
0.5 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Betsy, Skin in the Game | 50% | Loss |
| R2 | Betsy, Skin in the Game | 50% | Win |
| R3 | Arakni, Marionette | 50% | Loss |
| R4 | Aurora, Legacy of Tempest | 50% | Loss |
dropped • 0-3-0
100%
Meta
-1.5
Perf
1.5
Surp
0.0
Diff
R1
R1 CC
Round 1: Loss vs Pei-Tung Liao (Arakni, Marionette) - Expected: Not enough data (8 matches)
R2
R2 CC
Round 2: Loss vs Yu fan Liao (Betsy, Skin in the Game) - Expected: Not enough data (7 matches)
R3
R3 CC
Round 3: Loss vs Ken Kuwahara (Fai, Rising Rebellion) - Expected: Not enough data (7 matches)
Meta Fit
100% (3/3 favorable matchups)
Performance
-1.5 Wins (1.5 expected, 0 actual)
Surprise
1.5 total deviation
Difficulty
0.0 difficulty points
Round-by-Round Breakdown
Win probabilities rounded to nearest 5% for consistency with match display
Swipe left to see all columns →
| Round | Opponent | Expected | Result |
|---|---|---|---|
| R1 | Arakni, Marionette | 50% | Loss |
| R2 | Betsy, Skin in the Game | 50% | Loss |
| R3 | Fai, Rising Rebellion | 50% | Loss |
Legend
Win
Loss
Draw
Unknown Opponent
!
!!
Performance Metrics
Meta
% of rounds where the historical win rate favored you (≥50%). Higher means you faced a softer field.
Perf
Actual wins minus expected wins based on matchup odds. Positive = outperformed; negative = underperformed.
Surp
Sum of |result − win probability| per round. Near 0 means results matched expectations; higher means consistently surprising outcomes in either direction.
Diff
Win points weighted by matchup difficulty and round number (−log₂(prob) × round/total). Rewards beating long-shot matchups in late rounds.