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Dota Valkyries
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Overview | Picks and bans | Draft | Draft against | Heroes ☰ | Players ☰ | Opponents | Matches ☰ | Active players
Team's players on this position: KGN.eL DOG (7 Matches), KGN.china number one (6 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 | Heal/min | HD/min | Taken HD/min | Stuns | TD/min | Time | List of matches | |
 | Ancient Apparition | 2 | 100.00% | 0.931 | 100.0 | 75.0 | 4.00 | 2.00 | 14.0 | 291.5 | 345.5 | 4.50 | 0.000 | 271.2 | 132.4 | 9.51 | 24.9 | 29:41 | Matches |
 | Ogre Magi | 2 | 100.00% | 1.16 | 100.0 | 75.0 | 2.00 | 8.50 | 12.5 | 241.5 | 372.5 | 4.00 | 0.000 | 279.3 | 454.2 | 27.0 | 4.31 | 43:37 | Matches |
 | Earth Spirit | 2 | 100.00% | 0.768 | 100.0 | 75.0 | 2.50 | 3.00 | 13.0 | 258.5 | 319.5 | 2.00 | 26.0 | 198.6 | 206.6 | 20.8 | 20.2 | 32:04 | Matches |
 | Bane | 1 | 100.00% | 0.625 | 62.5 | 37.5 | 2.00 | 5.00 | 17.0 | 216.0 | 349.0 | 9.00 | 0.000 | 135.1 | 207.1 | 68.5 | 7.30 | 43:51 | Matches |
 | Rubick | 1 | 100.00% | 0.784 | 62.5 | 37.5 | 2.00 | 14.0 | 12.0 | 249.0 | 269.0 | 8.00 | 0.000 | 195.1 | 422.7 | 55.1 | 7.18 | 47:21 | Matches |
 | Tusk | 1 | 100.00% | 0.787 | 62.5 | 37.5 | 9.00 | 5.00 | 9.00 | 377.0 | 500.0 | 8.00 | 7.17 | 296.6 | 392.1 | 35.5 | 0.000 | 39:04 | Matches |
 | Night Stalker | 1 | 0.00% | 0.895 | 25.0 | 100.0 | 0.000 | 7.00 | 11.0 | 246.0 | 390.0 | 16.0 | 15.6 | 220.3 | 425.3 | 3.11 | 8.86 | 41:04 | Matches |
 | Shadow Shaman | 1 | 0.00% | 1.17 | 25.0 | 100.0 | 7.00 | 8.00 | 12.0 | 304.0 | 409.0 | 8.00 | 0.000 | 356.8 | 297.2 | 69.5 | 49.5 | 41:04 | 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.