DarkEdit | #GHR

DarkEdit | #GHR — CS2 Stats

76561198092323650[U:1:132057922]Steam profile ↗✓ No bans

436Tracked matches59%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 436
0.0ppWin rate · 58.6% → 58.6%

Rating over time

Premier CS Rating: 17,007 +3,366 15 Jan – 15 Jun · 11 days played
13,64117,754peak 17,75415 Jan15 Jun
17,754Peak Premier in tracked matches
57Days played since 2023-01-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGDarkEdit | #GHRFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility30

0–100 skill scores via Leetify.

Recent form

HOT53–40–7Last 10053%Win rateWLWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +3.1pp headshot accuracy · −27ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 569ms

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 (+1.4 against its own average).

Aim6.3
Utility3.0
Positioning4.8
Opening Duels2.8
Clutch3.0

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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 →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 572ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.3
Positioning4.8
Utility3.0
Mechanics6.2
Opening Duels2.9
Win Impact7.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time566ms+49ms
first ⅓ avg 517ms → last ⅓ avg 566ms
Headshot accuracy16.6%−0.3%
first ⅓ avg 16.9% → last ⅓ avg 16.6%

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

0.14Best match rating · 16–9 · mirage, 6 Aug →
50%Best headshot accuracy · 13–2 · dust2, 3 Aug →
391msFastest reaction time · 13–8 · inferno, 9 Oct →
13–2Biggest win · dust2, 3 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–8In matches decided by ≤2 rounds
36Overtime games

Map breakdown

mirageBest map · 60% over 30nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB3316–1748%0.02
mirageA3018–1260%-0.01
nukeC125–742%-0.01
vertigoA106–460%0.04
dust2A53–260%0.00
ancient—42–250%-0.01
anubis—41–325%-0.04
overpass—22–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

545Matches
51%Win rate
1.08Avg K/D
82.7ADR
35%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3954%1.1616.9
Mirage2564%1.1516.0
Nuke2250%1.1517.6
Ancient1450%1.0718.1
Overpass862%1.2417.0
Dust2743%1.2216.0
Anubis40%0.8817.3
Cache333%1.0017.0

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.

15.9%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.9%Spray accuracy
78.1%Counter-strafing
8.6°Preaim
572msReaction time
40.5%T opening success
42.6%CT opening success
0.64Enemies flashed / flash
5.6%Flash assists
10.56HE damage / grenade
5.76Flashes / match

Recommended for you

Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0816%9 Oct →
inferno10–13-0.0329%5 Apr →
nuke13–100.0112%15 Dec →
mirage13–11-0.0721%15 Dec →
mirage13–6-0.0010%15 Oct →
inferno13–90.0516%14 Oct →
inferno13–6-0.0119%13 Oct →
ancient13–40.0822%13 Oct →
dust213–20.1150%3 Aug →
nuke13–30.0413%3 Aug →
nuke8–13-0.0318%1 Aug →
dust210–13-0.0133%23 Jul →
ancient11–13-0.0411%21 Jul →
mirage19–160.0019%16 Jul →
anubis7–13-0.0315%15 Jul →
mirage13–80.0213%14 Jul →
inferno13–30.0414%13 Jul →
mirage13–3-0.0421%13 Jul →
mirage13–100.0521%9 Jul →
nuke7–13-0.079%7 Jul →
inferno15–150.0211%7 Jul →
inferno7–13-0.0512%15 Jun →
inferno13–20.1113%15 Jun →
mirage11–13-0.0314%31 May →
vertigo13–30.0614%19 May →
nuke10–130.0110%18 May →
anubis20–22-0.085%17 May →
inferno13–3-0.0018%17 May →
inferno9–13-0.055%9 May →
mirage7–13-0.0313%24 Apr →
anubis13–80.0018%24 Apr →
inferno13–4-0.0116%24 Apr →
inferno13–6-0.0118%23 Apr →
inferno7–13-0.0215%23 Apr →
mirage5–130.0910%23 Apr →
mirage13–50.0828%21 Apr →
nuke11–130.0120%21 Apr →
inferno13–40.0417%20 Apr →
nuke0–13-0.090%20 Apr →
vertigo6–130.0423%20 Apr →
vertigo13–100.1131%20 Apr →
vertigo9–13-0.0124%19 Apr →
vertigo9–13-0.0322%19 Apr →
vertigo13–30.1130%19 Apr →
mirage13–11-0.0416%19 Apr →
dust22–13-0.0718%16 Apr →
nuke11–13-0.0216%16 Apr →
mirage13–6-0.089%24 Mar →
mirage13–11-0.024%24 Mar →
anubis12–16-0.0326%2 Mar →
mirage11–13-0.0525%27 Feb →
dust213–110.0214%27 Feb →
mirage13–90.0534%27 Feb →
nuke13–7-0.0124%27 Feb →
mirage7–13-0.0719%27 Feb →
ancient13–3-0.0522%27 Feb →
dust213–7-0.0529%26 Feb →
ancient5–13-0.0215%17 Feb →
mirage15–15-0.0917%17 Feb →
mirage13–11-0.0413%17 Feb →
inferno3–13-0.0512%17 Feb →
mirage8–13-0.0416%22 Jan →
mirage13–7-0.0212%21 Jan →
nuke6–30.0314%21 Jan →
mirage13–10-0.0317%17 Jan →
nuke13–20.0330%15 Jan →
mirage8–13-0.0428%8 Jan →
mirage14–16-0.048%28 Sept →
nuke13–16-0.0517%28 Sept →
inferno4–13-0.0919%11 Sept →
inferno16–140.0820%24 Aug →
inferno4–160.0113%22 Aug →
vertigo16–14-0.0117%15 Aug →
inferno16–80.046%15 Aug →
mirage16–90.1423%6 Aug →
vertigo16–130.0213%6 Aug →
inferno16–130.1122%5 Aug →
inferno16–50.1219%5 Aug →
overpass16–130.0824%5 Aug →
mirage12–16-0.0019%5 Aug →
vertigo16–110.0714%2 Aug →
inferno16–100.1020%2 Aug →
inferno2–16-0.0036%2 Aug →
overpass9–60.0627%1 Aug →
mirage9–16-0.0322%1 Aug →
inferno6–160.0219%1 Aug →
vertigo11–160.0417%25 Jul →
inferno5–16-0.0418%25 Jul →
mirage16–9-0.0113%14 Jul →
inferno15–150.0314%4 Jul →
inferno15–15-0.0118%4 Jul →
mirage16–12-0.0312%12 Jun →
inferno15–15-0.0311%25 Jan →
inferno16–90.0113%21 Jan →
inferno15–150.0011%21 Jan →
mirage9–16-0.0213%21 Jan →
inferno16–100.015%18 Jan →
inferno15–150.0215%17 Jan →
mirage16–80.1024%16 Jan →
inferno14–160.0217%15 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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