Data Doll MKII
1 players • Match results by round
Tip: Click any player row to see detailed round-by-round calculations
33rd • 2-4-0
100%
Meta
-1.0
Perf
3.0
Surp
0.8
Diff
R1
R1 Blitz
Round 1: Loss vs Andy Pham (Vynnset) - Expected: Not enough data (2 matches)
R2
R2 Blitz
Round 2: Win vs Remi Grasset (Dromai) - Expected: Not enough data (4 matches)
R3
R3 Blitz
Round 3: Win vs Matthew Coulson (Kayo) - Expected: Not enough data (9 matches)
R4
R4 Blitz
Round 4: Loss vs Freeman Monika (Aurora) - Expected: Not enough data (4 matches)
R5
R5 Blitz
Round 5: Loss vs Alex Jamieson (Lexi) - Expected: Not enough data (2 matches)
R6
R6 Blitz
Round 6: Loss vs Sarah Nicholas (Levia) - Expected: Not enough data (7 matches)
Meta Fit
100% (6/6 favorable matchups)
Performance
-1.0 Wins (3.0 expected, 2 actual)
Surprise
3.0 total deviation
Difficulty
0.8 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 | Vynnset | 50% | Loss |
| R2 | Dromai | 50% | Win |
| R3 | Kayo | 50% | Win |
| R4 | Aurora | 50% | Loss |
| R5 | Lexi | 50% | Loss |
| R6 | Levia | 50% | Loss |
Legend
Win
Loss
Draw
Unknown Opponent
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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.