C❅mfy

C❅mfy — CS2 Stats

76561198079717214[U:1:119451486]Steam profile ↗✓ No bans

2,400Tracked matches54%Win rate2022Tracked since
4,631Hours in CS5Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,667 → 1,667
+9Tracked matches · now 2,400
+7.1ppWin rate · 46.4% → 53.6%

Rating over time

Premier CS Rating: 24,950 +956 28 May – 24 Jun · 3 days played
23,87324,950peak 24,95028 May24 Jun
Faceit ELO: 1,667 +0 1 Sept – 22 Sept · 2 observations
1,6671,667peak 1,6671 Sept22 Sept
24,950Peak Premier in tracked matches
1,667Highest Faceit ELO seen on CSDB
38Days played since 2026-04-21

Faceit ELO

  • At peak — 1,667
  • Next: Level 9 at 1,751 — 84 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

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.

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CSDB.GGC❅mfyPEAK ELO1,667csdb.gg/stats

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Performance scores

Aim67
Positioning44
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLWWLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.3pp headshot accuracy · −70ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 568ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

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).

Aim6.7
Utility1.6
Positioning4.4
Opening Duels2.2
Clutch4.0

Limited utility dependence

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 93% playstyle similarity

Most alike: aim profile, positioning profile.

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

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. 611ms 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

Aim6.7
Positioning4.4
Utility1.6
Mechanics5.5
Opening Duels1.8
Win Impact6.2

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time607ms−30ms
first ⅓ avg 637ms → last ⅓ avg 607ms
Headshot accuracy17.6%−0.5%
first ⅓ avg 18.1% → last ⅓ avg 17.6%

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

0.08Best match rating · 13–4 · train, 27 Apr →
43%Best headshot accuracy · 13–6 · mirage, 21 Apr →
453msFastest reaction time · 4–3 · nuke, 26 Sept →
13–0Biggest win · ancient, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–7In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 62% over 21dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB2211–1150%0.00
mirageA2113–862%-0.02
cacheA169–756%-0.01
dust2D153–1220%-0.03
anubisA74–357%0.01
ancientA74–357%-0.02
train—31–233%0.01
vertigo—30–30%-0.02
inferno—32–167%-0.00
overpass—20–20%-0.01
boulder—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,239Lifetime kills
0.94K/D
5,954Matches
37.8%Match win rate
48.0%Headshot % · Top 50% of tracked players
9.4%Shot accuracy
12,261MVPs
2,417Hours (in match)
3,948Bombs planted
1,228Bombs defused

Most-used weapons

AK-4764,705
AWP13,554
SSG 082,701
MP92,413
P2501,883

Lifetime map wins

5,833dust2
5,546inferno
4,307nuke
2,748vertigo
1,269train
1,160cbble
434office
142lake

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

Faceit stats

Combat

1,025Matches
51%Win rate
0.96Avg K/D
72.9ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage19347%0.9213.3
Ancient19149%0.9414.0
Inferno17751%1.0215.6
Anubis16358%1.0315.4
Nuke10254%0.9814.6
Vertigo8554%1.0414.8
Train3050%0.9615.6
Dust21947%0.6910.3

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.

17.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.8%Spray accuracy
75.0%Counter-strafing
9.9°Preaim
611msReaction time
33.6%T opening success
40.8%CT opening success
0.18Enemies flashed / flash
8.1%Flash assists
7.37HE damage / grenade
0.39Flashes / 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 0.1847 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.5874% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.079%2 Nov →
mirage13–4-0.0419%2 Nov →
mirage13–2-0.0339%2 Nov →
nuke8–130.019%31 Oct →
mirage13–70.028%31 Oct →
mirage5–13-0.1014%31 Oct →
dust28–13-0.086%31 Oct →
nuke4–3-0.0425%26 Sept →
cache13–10-0.0315%25 Sept →
anubis11–130.0310%20 Aug →
mirage13–80.0122%20 Aug →
cache8–130.0325%20 Aug →
cache13–50.0321%20 Aug →
mirage13–5-0.0218%20 Aug →
cache4–11-0.0327%19 Aug →
ancient13–00.0614%19 Aug →
train11–13-0.0123%19 Aug →
mirage13–4-0.0717%28 Jul →
dust212–12-0.0624%28 Jul →
anubis13–11-0.0415%27 Jul →
dust26–13-0.0221%27 Jul →
mirage10–130.0120%27 Jul →
nuke13–60.0210%26 Jul →
boulder0–13-0.017%26 Jul →
nuke13–80.0726%24 Jul →
dust212–12-0.0221%24 Jul →
mirage13–8-0.0414%11 Jul →
anubis13–100.0125%9 Jul →
mirage9–13-0.0715%9 Jul →
cache7–13-0.0411%9 Jul →
dust213–40.0520%9 Jul →
ancient10–13-0.0416%9 Jul →
mirage13–11-0.0116%24 Jun →
ancient13–8-0.0317%24 Jun →
anubis7–130.0417%9 Jun →
ancient11–13-0.046%9 Jun →
vertigo1–13-0.0515%9 Jun →
nuke1–13-0.0810%9 Jun →
train9–13-0.0428%9 Jun →
overpass4–130.0220%29 May →
nuke13–100.0119%28 May →
mirage13–90.0421%28 May →
dust213–60.0225%24 May →
nuke11–13-0.0113%24 May →
cache8–13-0.0620%23 May →
nuke9–13-0.0016%22 May →
anubis10–130.0413%22 May →
dust23–13-0.0415%20 May →
mirage1–13-0.0213%20 May →
dust29–13-0.0127%19 May →
mirage13–20.0132%19 May →
cache12–120.0818%19 May →
dust212–12-0.0027%19 May →
vertigo11–130.0122%18 May →
anubis13–100.0017%14 May →
cache3–13-0.0627%14 May →
vertigo8–13-0.036%14 May →
nuke9–13-0.0216%14 May →
dust29–13-0.0919%14 May →
dust27–13-0.0221%13 May →
cache13–10-0.0117%12 May →
nuke13–10-0.0025%10 May →
cache13–9-0.0412%10 May →
dust210–13-0.0212%6 May →
cache11–8-0.0612%6 May →
mirage9–13-0.0222%6 May →
nuke12–120.0415%6 May →
nuke8–130.0214%4 May →
nuke13–50.0419%4 May →
cache13–50.0228%4 May →
nuke12–12-0.019%1 May →
nuke13–60.0115%1 May →
dust212–12-0.0210%30 Apr →
cache5–13-0.0124%30 Apr →
cache13–8-0.0126%29 Apr →
cache13–7-0.0517%29 Apr →
nuke1–130.0015%29 Apr →
cache13–70.0731%28 Apr →
nuke13–90.0510%28 Apr →
mirage13–110.0612%27 Apr →
train13–40.0820%27 Apr →
nuke11–130.0119%27 Apr →
inferno4–13-0.0413%27 Apr →
overpass7–13-0.0423%25 Apr →
anubis13–11-0.0116%25 Apr →
nuke9–13-0.0228%24 Apr →
ancient2–13-0.079%24 Apr →
mirage13–10-0.0328%23 Apr →
mirage1–5-0.098%23 Apr →
dust213–8-0.0715%23 Apr →
dust27–13-0.0318%23 Apr →
inferno13–100.0126%23 Apr →
inferno13–90.0124%23 Apr →
ancient13–11-0.0211%22 Apr →
nuke13–6-0.0511%22 Apr →
nuke13–110.0015%21 Apr →
mirage12–120.019%21 Apr →
nuke13–110.0020%21 Apr →
ancient13–40.0115%21 Apr →
mirage13–6-0.0243%21 Apr →

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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