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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: TFT.Chessie (8 Matches), TFT.Xibbe (1 Matches), TFT.Frost (1 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 | |
 | Medusa | 2 | 50.00% | 0.880 | 62.5 | 50.0 | 3.50 | 4.00 | 10.00 | 652.0 | 613.0 | 74.5 | 0.000 | 573.7 | 296.8 | 22.8 | 120.9 | 39:00 | Matches |
 | Templar Assassin | 2 | 0.00% | 0.841 | 50.0 | 100.0 | 6.00 | 4.50 | 8.50 | 640.0 | 659.0 | 80.0 | 0.000 | 538.2 | 374.7 | 9.55 | 73.8 | 47:34 | Matches |
 | Storm Spirit | 1 | 100.00% | 0.973 | 100.0 | 37.5 | 9.00 | 2.00 | 13.0 | 590.0 | 757.0 | 62.0 | 0.549 | 574.2 | 311.7 | 27.9 | 130.2 | 36:27 | Matches |
 | Monkey King | 1 | 100.00% | 1.07 | 100.0 | 37.5 | 7.00 | 2.00 | 9.00 | 528.0 | 499.0 | 56.0 | 0.000 | 566.1 | 510.0 | 20.5 | 222.8 | 21:34 | Matches |
 | Razor | 1 | 100.00% | 1.17 | 100.0 | 37.5 | 5.00 | 6.00 | 17.0 | 475.0 | 603.0 | 54.0 | 0.000 | 557.8 | 599.2 | 0.000 | 68.9 | 46:19 | Matches |
 | Sniper | 1 | 0.00% | 1.72 | 37.5 | 87.5 | 5.00 | 3.00 | 3.00 | 578.0 | 560.0 | 76.0 | 0.000 | 991.5 | 217.2 | 0.502 | 9.14 | 42:27 | Matches |
 | Kunkka | 1 | 0.00% | 0.889 | 37.5 | 87.5 | 8.00 | 5.00 | 7.00 | 537.0 | 632.0 | 54.0 | 3.79 | 477.2 | 810.2 | 39.9 | 15.3 | 32:57 | Matches |
 | Sven | 1 | 0.00% | 0.534 | 37.5 | 87.5 | 0.000 | 3.00 | 1.000 | 408.0 | 399.0 | 71.0 | 0.000 | 218.0 | 602.6 | 22.8 | 41.9 | 25:11 | 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.