Metalfret

Metalfret — CS2 Stats

GB76561198038302736[U:1:78037008]Steam profile ↗✓ No bans

715Tracked matches52%Win rate2024Tracked since
926Hours in CS
CSDB Rating4.2 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 715
0.0ppWin rate · 51.8% → 51.8%

Rating over time

Premier CS Rating: 13,116 -864 22 Feb – 26 May · 24 days played
12,80414,718peak 14,71822 Feb26 May
14,841Peak Premier in tracked matches
51Days played since 2026-02-22

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate37.4%42.7%43.8%6.4% short
Shot accuracy14.8%11.2%12.0%above
Kill/death ratio1.010.991.02meets
Match win rate41.1%43.9%44.7%3.6% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMetalfretFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning36
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLTWWTLWLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.7pp headshot accuracy · −60ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 642ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 664ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 694ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim4.0
Utility3.8
Positioning3.6
Opening Duels1.8
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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

Reaction time. 716ms 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

Aim4.0
Positioning3.6
Utility3.8
Mechanics6.3
Opening Duels1.6
Win Impact5.6

Composite 4.2/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time718ms−16ms
first ⅓ avg 734ms → last ⅓ avg 718ms
Headshot accuracy10.7%−1.8%
first ⅓ avg 12.4% → last ⅓ avg 10.7%

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

0.10Best match rating · 13–6 · mirage, 14 Jun →
67%Best headshot accuracy · 0–3 · dust2, 25 Apr →
500msFastest reaction time · 14–16 · mirage, 23 Feb →
13–2Biggest win · mirage, 23 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 52% over 31infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.02
mirageB2813–1546%-0.03
infernoD124–833%-0.02
cacheB105–550%-0.04
nukeD93–633%-0.04
overpassC52–340%-0.04
ancient—41–325%-0.03
anubis—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,074Lifetime kills
1.01K/D · Top 50% of Level 4 players
2,478Matches
41.1%Match win rate
37.4%Headshot %
14.8%Shot accuracy · Top 50% of Level 4 players
3,911MVPs
926Hours (in match)
2,602Bombs planted
383Bombs defused

Most-used weapons

AK-4710,699
AWP3,127
SSG 081,512
P901,299
MP71,129
P250979

Lifetime map wins

5,125dust2
2,665inferno
1,127nuke
378train
314cbble
162office
90vertigo
80assault

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

Faceit stats

Combat

15Matches
40%Win rate
0.77Avg K/D
60.2ADR
40%Headshot %

Clutches & streaks

75%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2475%0.8010.8
Mirage250%0.8814.0
Nuke10%0.5610.0
Anubis10%0.7515.0

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.

10.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.9%Spray accuracy
78.4%Counter-strafing
10.9°Preaim
716msReaction time
41.5%T opening success
31.7%CT opening success
0.39Enemies flashed / flash
1.3%Flash assists
9.26HE damage / grenade
4.53Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.813% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 715.9967ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3864 — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache0–6-0.090%11 Oct →
dust212–12-0.0017%11 Oct →
cache13–10-0.0612%24 Aug →
nuke13–10-0.017%17 Aug →
dust212–12-0.0410%11 Aug →
mirage5–13-0.084%3 Aug →
nuke13–30.026%3 Aug →
inferno7–13-0.0921%31 Jul →
ancient11–13-0.044%19 Jul →
mirage13–7-0.0218%19 Jul →
dust213–10-0.037%25 Jun →
cache12–120.0416%16 Jun →
ancient9–13-0.049%16 Jun →
cache13–60.0112%14 Jun →
mirage13–60.108%14 Jun →
dust213–10-0.017%10 Jun →
mirage9–13-0.0317%6 Jun →
nuke1–7-0.060%6 Jun →
cache13–8-0.026%6 Jun →
mirage9–13-0.0811%26 May →
dust213–5-0.0114%23 May →
cache13–6-0.0314%23 May →
nuke6–13-0.0514%22 May →
mirage7–13-0.0411%21 May →
cache8–13-0.069%21 May →
cache13–11-0.049%17 May →
inferno9–2-0.017%12 May →
dust211–13-0.0316%7 May →
mirage16–130.009%7 May →
cache4–13-0.0514%7 May →
mirage12–12-0.0120%2 May →
cache6–13-0.059%2 May →
dust24–13-0.0614%26 Apr →
mirage13–7-0.0610%26 Apr →
mirage6–13-0.0611%25 Apr →
dust213–5-0.0321%25 Apr →
dust20–3-0.0267%25 Apr →
dust214–160.0013%21 Apr →
dust216–13-0.0213%21 Apr →
dust213–100.0611%6 Apr →
dust26–13-0.097%2 Apr →
dust211–13-0.0411%2 Apr →
mirage8–130.0311%28 Mar →
mirage16–14-0.0416%26 Mar →
overpass11–13-0.0618%25 Mar →
overpass13–4-0.0214%23 Mar →
mirage13–2-0.0323%23 Mar →
inferno13–16-0.028%22 Mar →
inferno7–130.0114%21 Mar →
mirage4–13-0.0415%21 Mar →
dust214–160.007%17 Mar →
inferno9–13-0.0515%16 Mar →
dust213–50.0020%16 Mar →
dust213–11-0.069%15 Mar →
dust213–80.0016%15 Mar →
mirage13–11-0.0414%15 Mar →
dust22–9-0.078%15 Mar →
nuke8–13-0.0112%14 Mar →
nuke5–13-0.1117%12 Mar →
inferno15–15-0.0515%10 Mar →
mirage13–7-0.0521%9 Mar →
mirage13–9-0.0211%9 Mar →
dust213–7-0.026%8 Mar →
mirage4–13-0.0811%8 Mar →
inferno6–13-0.016%8 Mar →
overpass12–12-0.045%7 Mar →
nuke9–13-0.0715%5 Mar →
mirage13–8-0.0113%5 Mar →
mirage8–13-0.063%5 Mar →
mirage11–130.0115%4 Mar →
mirage13–90.0221%3 Mar →
dust213–11-0.067%3 Mar →
anubis10–13-0.0311%2 Mar →
dust26–13-0.0121%2 Mar →
dust216–140.0212%2 Mar →
inferno13–80.0811%1 Mar →
dust211–13-0.0216%1 Mar →
inferno13–10-0.0112%28 Feb →
dust25–13-0.0820%28 Feb →
mirage13–80.0116%28 Feb →
dust27–13-0.0113%26 Feb →
inferno9–13-0.0110%26 Feb →
mirage4–13-0.0511%25 Feb →
dust213–10-0.0014%25 Feb →
mirage8–13-0.056%25 Feb →
inferno9–4-0.0313%25 Feb →
ancient3–13-0.047%25 Feb →
nuke13–7-0.0114%25 Feb →
overpass13–5-0.0017%25 Feb →
dust24–13-0.0512%24 Feb →
dust213–9-0.0014%24 Feb →
dust213–9-0.0113%23 Feb →
dust213–40.0517%23 Feb →
mirage14–16-0.0511%23 Feb →
mirage13–16-0.078%23 Feb →
inferno11–13-0.019%22 Feb →
ancient13–8-0.0017%22 Feb →
overpass6–13-0.093%22 Feb →
nuke11–13-0.0513%22 Feb →
mirage13–30.0214%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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