EPL Masters I: Play-In
T3
BO3

Do you know who will win next?

Player comparisonbased on the match

KW
Average
PlayerHero healing / minKill participation
50
RetsuSafe Lane
15.58681,04113.60.31,012.8060%
50
PastilMid Lane
8.25257135.80.3713.64.358%
50
KaChalOff Lane
10.36757938.60.3563075%
50
lupsiHard Support
33664751.30.1401.9062%
26
monodramaHard Support
3.93564501.20325.147.861%
Syntax
Average
PlayerHero healing / minKill participation
31
獵人leniSafe Lane
2.35377078.90.3545.7053%
47
MikeyMid Lane
2.84715605.40.4533.36.961%
38
emptinessOff Lane
4.15446708.80.2507.8060%
49
JeezySoft Support
2.23113702.40.1459.5065%
48
StoicHard Support
1.43043651.50280.4193.864%

Head to headPast matches

Previous matches

KW

Syntax

Info

Check KW vs Syntax full Dota 2 match result & analysis from EPL Masters I: Play-In, played as a BO3 series with KW winning 2 : 0. Dive into game-by-game statistics: game scores, team net worth values, GPM/XPM leaders, kill/death/assist (K/D/A) ratios, and hero performances for players like Retsu, Pastil, KaChal, monodrama, lupsi, 獵人leni, Mikey, emptiness, Jeezy, Stoic.

Analyze objective control, tower damage, Roshan influence, item builds and draft phases — which heroes were picked, banned, and which gave map control. Compare performance trends like kill participation rate, farm efficiency (LH/DN), gold per minute and experience per minute to see how KW responded under pressure and where Syntax outperformed them.

Use head-to-head (H2H) past results, team vs team history, and recent form to contextualize the result and understand momentum going forward in the tournament. Ideal for fans, analysts, and bettors seeking match analytics, meta insights, hero trends, and post-match breakdowns. Find replay links, match timeline visuals, and filter by game, player, and date to explore details.