The-Evil_GraNade#Dome4VAC

The-Evil_GraNade#Dome4VAC — CS2 Stats

DE76561198209596925[U:1:249331197]Steam profile ↗✓ No bans

1,534Tracked matches38%Win rate2020Tracked since
7,517Hours in CS30Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating21,855Top 50% of 212,133 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#57969 of 259050 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

−386Premier CS Rating · 22,241 → 21,855

Rating over time

Premier CS Rating: 21,855 +128 25 Jul – 31 Oct · 23 days played
21,17223,920peak 23,92025 Jul31 Oct
24,040Peak Premier in tracked matches
998Highest Faceit ELO seen on CSDB
38Days played since 2026-07-10

Premier CS Rating

  • 2,065 below peak (23,920)
  • -27 over 30 days · steady
  • -912 over 90 days
  • Next: Red band at 25,000 — 3,145 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate38.9%43.8%44.8%5.9% short
Shot accuracy16.3%12.0%12.4%above
Kill/death ratio1.021.021.03meets
Match win rate44.7%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe-Evil_GraNade#Dome4VACFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,855 · Pink bandPEAK ELO998csdb.gg/stats

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Performance scores

Aim78
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWLWLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.8pp headshot accuracy · +48ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 521ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.8
Utility5.1
Positioning5.5
Opening Duels2.8
Clutch1.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 97% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8
Positioning5.5
Utility5.1
Mechanics6.4
Opening Duels4.5
Win Impact1.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time516ms−48ms
first ⅓ avg 565ms → last ⅓ avg 516ms
Headshot accuracy15.1%+0.6%
first ⅓ avg 14.5% → last ⅓ avg 15.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–8 · mirage, 3 Oct →
36%Best headshot accuracy · 13–1 · dust2, 30 Sept →
344msFastest reaction time · 4–13 · dust2, 23 Aug →
13–0Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 12infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.01
infernoC197–1237%-0.02
mirageC188–1044%0.00
cacheB178–947%-0.01
anubisS129–375%0.00
nuke—40–40%-0.02
ancient—30–30%-0.04
fachwerk—10–10%-0.06
vertigo—10–10%0.00
overpass—10–10%-0.02
train—11–0100%0.05
italy—10–10%-0.05
shelter—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,136Lifetime kills
1.02K/D
8,714Matches
44.7%Match win rate
38.9%Headshot %
16.3%Shot accuracy · Top 25% of Level 5 players
23,709MVPs
2,779Hours (in match)
6,427Bombs planted
1,682Bombs defused

Most-used weapons

AK-4734,931
AWP10,533
SSG 085,886
P2505,331
UMP-455,081

Lifetime map wins

11,207lake
10,209inferno
7,374dust2
2,175nuke
1,306vertigo
1,278cbble
1,125assault
940train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

537Matches
52%Win rate
0.99Avg K/D
92.0ADR
33%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1471%1.3017.4
Dust21250%1.1316.7
Nuke956%0.9215.0
Anubis967%1.0015.3
Mirage944%1.0520.8
Ancient540%0.8018.2
Overpass2100%1.9218.5
Cache250%0.6710.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.2%Spray accuracy
78.7%Counter-strafing
9.2°Preaim
516msReaction time
42.2%T opening success
53.5%CT opening success
0.44Enemies flashed / flash
4.9%Flash assists
9.96HE damage / grenade
7.37Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4438 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0515%31 Oct →
dust213–160.0318%31 Oct →
mirage13–70.029%31 Oct →
mirage6–13-0.0211%31 Oct →
fachwerk3–13-0.0620%28 Oct →
cache13–30.0722%24 Oct →
anubis16–13-0.0111%23 Oct →
inferno13–10.039%23 Oct →
nuke6–13-0.0824%22 Oct →
cache13–9-0.0216%22 Oct →
mirage13–6-0.0012%22 Oct →
mirage1–13-0.055%22 Oct →
ancient6–13-0.0712%22 Oct →
mirage7–130.038%22 Oct →
dust213–9-0.029%21 Oct →
inferno13–8-0.0523%21 Oct →
anubis10–13-0.0413%21 Oct →
dust29–130.029%20 Oct →
anubis13–90.0613%20 Oct →
cache8–13-0.0613%20 Oct →
inferno15–15-0.0310%20 Oct →
inferno10–13-0.0310%20 Oct →
dust213–50.0625%20 Oct →
dust22–13-0.0718%20 Oct →
inferno7–9-0.0818%19 Oct →
inferno9–13-0.0328%14 Oct →
nuke6–130.0214%13 Oct →
cache7–13-0.0219%13 Oct →
nuke9–130.0622%12 Oct →
inferno11–130.0119%11 Oct →
anubis12–16-0.0517%9 Oct →
mirage7–13-0.0317%9 Oct →
anubis13–4-0.007%9 Oct →
anubis13–110.0422%9 Oct →
dust213–90.0419%8 Oct →
mirage10–13-0.0217%6 Oct →
dust213–4-0.0113%5 Oct →
cache7–13-0.1710%5 Oct →
dust213–30.1217%4 Oct →
dust213–90.0723%3 Oct →
vertigo8–130.009%3 Oct →
inferno9–13-0.0411%3 Oct →
mirage13–80.1713%3 Oct →
cache13–80.0213%3 Oct →
dust24–13-0.0435%3 Oct →
inferno8–13-0.0216%3 Oct →
cache9–13-0.076%2 Oct →
anubis13–9-0.0318%2 Oct →
inferno13–6-0.0218%2 Oct →
anubis13–50.0516%2 Oct →
mirage13–10.0312%1 Oct →
dust213–1-0.0336%30 Sept →
overpass6–13-0.0216%30 Sept →
inferno13–60.0525%29 Sept →
anubis4–13-0.0814%29 Sept →
train13–50.0513%29 Sept →
nuke5–13-0.0627%18 Sept →
anubis13–70.0321%18 Sept →
inferno11–13-0.056%4 Sept →
inferno5–130.0615%4 Sept →
inferno14–16-0.045%25 Aug →
cache10–13-0.029%25 Aug →
mirage13–20.0013%25 Aug →
mirage14–16-0.0118%25 Aug →
dust25–13-0.0012%23 Aug →
dust24–13-0.0417%23 Aug →
mirage8–13-0.039%23 Aug →
cache8–13-0.0120%23 Aug →
italy4–13-0.0518%23 Aug →
cache13–100.0024%21 Aug →
dust213–11-0.0219%21 Aug →
mirage13–60.019%21 Aug →
ancient6–130.0310%21 Aug →
dust213–9-0.0223%21 Aug →
inferno0–4-0.080%20 Aug →
cache13–30.0117%20 Aug →
mirage7–13-0.047%7 Aug →
anubis13–100.0215%7 Aug →
mirage13–80.0110%7 Aug →
dust26–13-0.0418%1 Aug →
cache10–130.0129%1 Aug →
inferno11–130.0114%1 Aug →
dust25–130.1117%1 Aug →
mirage13–00.0130%1 Aug →
inferno16–14-0.0617%31 Jul →
mirage15–15-0.017%31 Jul →
cache13–40.1414%25 Jul →
ancient6–13-0.079%24 Jul →
inferno13–70.0418%24 Jul →
cache13–6-0.019%24 Jul →
cache6–13-0.0212%22 Jul →
anubis13–70.0215%22 Jul →
inferno13–60.0118%22 Jul →
cache15–15-0.0115%19 Jul →
dust213–16-0.0318%13 Jul →
dust213–7-0.0112%11 Jul →
mirage11–13-0.0217%11 Jul →
shelter7–13-0.049%10 Jul →
dust29–130.007%10 Jul →
cache13–9-0.026%10 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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