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Dota Valkyries
Spectral Wrapped 2023Overview | Records | Milestones | Heroes ☰ | Items ☰ | Players ☰ | Teams ☰ | Regions ☰ | Matches ☰ | Participants ☰
Overview | Picks and bans | Draft | Draft against | Heroes ☰ | Players ☰ | Opponents | Matches ☰ | Active players
Team's players on this position: RE.kaori (9 Matches)
Columns
| Performance | K/D/A | Farm | Combat | Objectives | Duration | Misc | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hero | Matches | Winrate | DMG/Gold | Rank | Rev-Rank | Kills | Deaths | Assists | GPM | XPM | LH at 10 | LH/min | Heal/min | HD/min | Taken HD/min | Stuns | TD/min | Time | List of matches | |
 | Shadow Shaman | 3 | 100.00% | 0.672 | 100.0 | 71.4 | 2.00 | 6.67 | 16.0 | 285.0 | 397.7 | 8.00 | 0.747 | 18.1 | 191.4 | 394.7 | 73.9 | 72.0 | 30:20 | Matches |
 | Mirana | 2 | 100.00% | 0.773 | 85.7 | 57.1 | 5.50 | 4.50 | 25.5 | 359.0 | 607.0 | 13.5 | 1.91 | 157.1 | 277.6 | 298.3 | 40.2 | 25.1 | 42:30 | Matches |
 | Bane | 2 | 50.00% | 0.663 | 28.6 | 85.7 | 2.00 | 12.5 | 26.0 | 280.0 | 442.0 | 8.50 | 0.497 | 7.22 | 185.7 | 524.4 | 98.0 | 14.3 | 55:18 | Matches |
 | Pugna | 1 | 100.00% | 1.83 | 71.4 | 42.9 | 3.00 | 5.00 | 15.0 | 299.0 | 362.0 | 7.00 | 0.825 | 65.8 | 547.1 | 439.3 | 0.000 | 51.1 | 32:43 | Matches |
 | Io | 1 | 100.00% | 0.175 | 71.4 | 42.9 | 1.000 | 3.00 | 25.0 | 293.0 | 598.0 | 4.00 | 0.431 | 412.0 | 51.4 | 343.2 | 0.000 | 51.5 | 46:27 | Matches |
 | Phoenix | 1 | 100.00% | 1.67 | 71.4 | 42.9 | 4.00 | 0.000 | 12.0 | 346.0 | 378.0 | 11.0 | 1.57 | 205.7 | 579.4 | 234.2 | 2.03 | 23.2 | 19:45 | Matches |
 | Ancient Apparition | 1 | 0.00% | 1.11 | 14.3 | 100.0 | 3.00 | 15.0 | 10.00 | 210.0 | 274.0 | 6.00 | 0.479 | 8.78 | 232.8 | 515.7 | 7.88 | 0.000 | 39:37 | Matches |
This section contains stats for heroes' performance on various positions. Positions are determined based on players performance (core or support) and lane. Supports across all lanes (including roamers) are considered as one role. Lanes and positions may not be accurate.