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2 players • Match results by round

Tip: Click any player row to see detailed round-by-round calculations

dropped 3-3-0
50%
Meta
+0.4
Perf
2.9
Surp
2.3
Diff
Kano
!!
70:30
R1 SAGE
Round 1: Loss vs Jacob Turner (Kano) - Expected: 71:29, favorite upset
Data Doll MKII
R2
R2 SAGE
Round 2: Win vs Benjamin Freedman (Data Doll MKII) - Expected: Not enough data (1 matches)
Briar
25:75
R3 SAGE
Round 3: Loss vs Jonathan Sanchez (Briar) - Expected: 26:74
Briar
!!
25:75
R4 SAGE
Round 4: Win vs Grant Strom (Briar) - Expected: 26:74, underdog victory
Fai
55:45
R5 SAGE
Round 5: Win vs Matthew Millar (Fai) - Expected: 57:43
Briar
25:75
R6 SAGE
Round 6: Loss vs Sean Soderman (Briar) - Expected: 26:74
dropped 1-3-0
50%
Meta
-0.5
Perf
1.5
Surp
0.2
Diff
Arakni, Web of Deceit
R1
R1 SAGE
Round 1: Win vs Emmerson Montgomery (Arakni, Web of Deceit) - Expected: Not enough data (3 matches)
Kayo
60:40
R2 SAGE
Round 2: Loss vs Nathan Crawford (Kayo) - Expected: 60:40
Briar
25:75
R3 SAGE
Round 3: Loss vs Jesse Perkins (Briar) - Expected: 26:74
Bravo, Flattering Showman
10:90
R4 SAGE
Round 4: Loss vs Daniel Brouillet (Bravo, Flattering Showman) - Expected: 10:90

Legend

Win
Loss
Draw
Unknown Opponent
!
Minor Surprise (10-19%)
!!
Major Surprise (≥20%)

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.