Métro Gims

Métro Gims — CS2 Stats

FR76561198227910312[U:1:267644584]Steam profile ↗✓ No bans

361Tracked matches86%Win rate2020Tracked since
1,594Hours in CS21Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating22,258Top 50% of 213,399 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#53210 of 259984 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,258 +2,626 16 Jul – 2 Nov · 11 days played
19,63222,491peak 22,49116 Jul2 Nov
22,491Peak Premier in tracked matches
32Days played since 2026-07-15

Premier CS Rating

  • 233 below peak (22,491)
  • +1,458 over 90 days
  • Next: Red band at 25,000 — 2,742 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate47.1%46.9%49.3%2.2% short
Shot accuracy16.3%13.0%13.4%above
Kill/death ratio1.151.081.12above
Match win rate42.7%46.7%48.5%5.8% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGMétro GimsPREMIER22,258 · Pink bandcsdb.gg/stats

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Performance scores

Aim91
Positioning65
Utility31

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateWWWWWLWWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.1pp headshot accuracy · −73ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 508ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 531ms

Last 20

  • 17–3 · 85% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 567ms

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 (+2 against its own average).

Aim9.1
Utility3.1
Positioning6.5
Opening Duels4.1
Clutch4.4

Sharp aimerExcellent counter-strafingLimited 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 81% 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

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. 564ms 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

Aim9.1
Positioning6.5
Utility3.1
Mechanics9.5
Opening Duels5.1
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time566ms−28ms
first ⅓ avg 594ms → last ⅓ avg 566ms
Headshot accuracy22.2%−0.3%
first ⅓ avg 22.5% → last ⅓ avg 22.2%

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

0.16Best match rating · 9–3 · vertigo, 4 Nov →
53%Best headshot accuracy · 8–13 · inferno, 19 Jul →
344msFastest reaction time · 6–1 · dust2, 19 Jul →
13–0Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
2–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 80% over 5vertigoWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%0.02
infernoA169–756%-0.00
mirageA138–562%0.00
officeA117–464%-0.02
nukeA117–464%-0.00
vertigoB63–350%0.03
ancientA53–260%0.05
anubisS54–180%-0.02
cache—43–175%0.05
overpass—22–0100%0.07
shelter—10–10%-0.01
train—10–10%0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,005Lifetime kills
1.15K/D · Top 50% of Pink band
3,086Matches
42.7%Match win rate
47.1%Headshot % · Top 50% of Pink band
16.3%Shot accuracy · Top 25% of Pink band
9,062MVPs
906Hours (in match)
1,742Bombs planted
525Bombs defused

Most-used weapons

AK-4714,329
AWP9,698
SSG 083,406
MP91,249
Nova1,016

Lifetime map wins

3,638inferno
3,044dust2
1,383office
1,127nuke
1,039cbble
656vertigo
462lake
271train

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

Faceit stats

Combat

12Matches
50%Win rate
1.46Avg K/D
88.5ADR
43%Headshot %

Clutches & streaks

42%1v1 clutch win
27%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%1.2315.3
Ancient367%1.4419.3
Mirage250%2.1015.0
Nuke20%1.2620.5
Overpass1100%1.5841.0
Inferno1100%1.2316.0

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.

23.6%Headshot accuracy
40.1%Accuracy (enemy spotted)
33.9%Spray accuracy
92.6%Counter-strafing
7.9°Preaim
564msReaction time
54.6%T opening success
45.9%CT opening success
0.29Enemies flashed / flash
6.6%Flash assists
7.41HE damage / grenade
3.98Flashes / 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 0.2868 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0128%4 Nov →
office13–10-0.079%4 Nov →
inferno13–10-0.0128%4 Nov →
dust213–00.0525%4 Nov →
vertigo9–30.1614%4 Nov →
inferno7–90.0519%4 Nov →
ancient13–90.1243%4 Nov →
mirage13–20.0429%3 Nov →
inferno13–5-0.0619%3 Nov →
office13–9-0.0546%3 Nov →
overpass13–20.0720%3 Nov →
nuke13–60.0639%3 Nov →
overpass13–70.0737%3 Nov →
anubis13–6-0.0343%2 Nov →
office13–70.0424%2 Nov →
dust22–5-0.120%2 Nov →
office13–20.0314%1 Nov →
inferno13–50.0219%1 Nov →
office6–13-0.0113%31 Oct →
inferno13–60.0110%31 Oct →
dust25–13-0.0216%31 Oct →
nuke13–60.0112%30 Oct →
dust29–00.0338%30 Oct →
dust213–90.0130%30 Oct →
dust213–20.0931%30 Oct →
dust213–80.0721%29 Oct →
nuke4–13-0.0112%29 Oct →
dust213–40.0914%29 Oct →
ancient12–120.0113%28 Oct →
dust213–4-0.0027%28 Oct →
cache13–5-0.0214%28 Oct →
inferno13–60.0517%21 Oct →
dust212–120.038%21 Oct →
office7–13-0.0219%21 Oct →
vertigo2–13-0.0712%21 Oct →
mirage3–130.0228%21 Oct →
vertigo13–70.1118%15 Oct →
inferno10–130.0632%15 Oct →
inferno13–20.0723%14 Oct →
inferno7–130.0118%28 Sept →
dust213–10-0.0128%28 Sept →
nuke13–1-0.0318%28 Sept →
cache13–6-0.0129%28 Sept →
vertigo12–12-0.0414%23 Sept →
office13–9-0.0122%16 Sept →
shelter2–13-0.010%5 Sept →
office9–13-0.0520%5 Sept →
ancient11–130.0921%5 Sept →
nuke13–90.0135%5 Sept →
ancient13–8-0.0316%5 Sept →
dust29–13-0.069%5 Sept →
vertigo13–10-0.0031%1 Sept →
dust213–50.0221%1 Sept →
inferno5–130.0017%26 Aug →
inferno13–50.0323%26 Aug →
mirage13–10-0.0812%25 Aug →
dust213–9-0.0518%25 Aug →
dust213–20.1123%24 Aug →
dust23–130.0228%24 Aug →
mirage13–50.0217%23 Aug →
anubis6–13-0.0227%23 Aug →
dust29–13-0.0118%23 Aug →
nuke13–6-0.0415%18 Aug →
dust211–10.0323%18 Aug →
dust29–10.036%31 Jul →
nuke13–70.0123%31 Jul →
mirage15–150.0115%31 Jul →
train3–130.0320%30 Jul →
nuke4–13-0.0827%30 Jul →
dust210–110.0320%24 Jul →
inferno9–5-0.0219%23 Jul →
vertigo2–13-0.0142%23 Jul →
office13–50.0716%23 Jul →
mirage13–6-0.0611%23 Jul →
nuke9–13-0.0220%22 Jul →
mirage5–130.0333%22 Jul →
office13–7-0.0219%22 Jul →
mirage9–60.054%21 Jul →
dust22–130.0231%21 Jul →
inferno13–8-0.0431%21 Jul →
anubis13–11-0.0517%21 Jul →
dust213–90.0314%21 Jul →
cache13–10.1333%21 Jul →
office0–7-0.150%19 Jul →
inferno0–2-0.060%19 Jul →
dust28–13-0.0129%19 Jul →
nuke11–130.0018%19 Jul →
inferno1–13-0.115%19 Jul →
inferno8–13-0.0753%19 Jul →
nuke13–30.0730%19 Jul →
dust26–10.0750%19 Jul →
mirage13–9-0.0630%18 Jul →
dust26–130.0332%17 Jul →
cache6–100.0824%17 Jul →
anubis13–60.0318%16 Jul →
mirage8–130.0122%16 Jul →
mirage13–60.0419%16 Jul →
ancient13–80.0312%15 Jul →
mirage13–11-0.0328%15 Jul →
anubis13–6-0.0217%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.