mex

mex — CS2 Stats

MC76561198962538584[U:1:1002272856]Steam profile ↗✓ No bans

1,734Tracked matches37%Win rate2020Tracked since
1,549Hours in CS
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating18,459Purple band · top ~14.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,734 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,459 +5,004 22 Nov – 8 Sept · 19 days played
13,13820,362peak 20,36222 Nov8 Sept
20,362Peak Premier in tracked matches
28Days played since 2025-11-12

Premier CS Rating

  • 1,903 below peak (20,362)
  • -859 over 90 days
  • Next: Pink band at 20,000 — 1,541 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

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 7 among CSDB-tracked players (n=13,886), 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 7 medianLevel 8 medianvs Level 8
Headshot rate44.7%45.7%46.8%2.1% short
Shot accuracy14.5%12.7%13.0%above
Kill/death ratio1.091.051.06above
Match win rate44.9%45.7%46.3%1.4% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmexFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,459 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim65
Positioning49
Utility24

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLWLWLLLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +8.2pp headshot accuracy · +6ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 722ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 686ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 683ms

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 (+3.4 against its own average).

Aim6.5
Utility2.4
Positioning4.9
Opening Duels3.0
Clutch8.0

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

ropz

Plays most like ropz 90% 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

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

Reaction time. 680ms 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

Aim6.5
Positioning4.9
Utility2.4
Mechanics7.8
Opening Duels2.4
Win Impact0.6

Composite 4.8/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time673ms−3ms
first ⅓ avg 676ms → last ⅓ avg 673ms
Headshot accuracy21.7%+2.5%
first ⅓ avg 19.1% → last ⅓ avg 21.7%

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

0.17Best match rating · 9–3 · inferno, 25 Apr →
45%Best headshot accuracy · 11–13 · mirage, 24 Jun →
453msFastest reaction time · 6–13 · nuke, 25 Apr →
13–1Biggest win · nuke, 3 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 12ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.00
infernoB2512–1348%0.01
mirageB136–746%-0.00
nukeS128–467%0.02
cacheC94–544%-0.01
ancientD71–614%-0.02
anubis—30–30%-0.03
overpass—20–20%0.01
vertigo—10–10%-0.02
train—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,277Lifetime kills
1.09K/D · Top 50% of Level 7 players
3,265Matches
44.9%Match win rate
44.7%Headshot %
14.5%Shot accuracy · Top 50% of Level 7 players
7,791MVPs
1,549Hours (in match)
4,234Bombs planted
896Bombs defused

Most-used weapons

Lifetime map wins

10,483inferno
4,409vertigo
3,907nuke
2,943dust2
560train
115lake
112cbble
111office

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

Faceit stats

Combat

877Matches
50%Win rate
1.03Avg K/D
72.1ADR
42%Headshot %

Clutches & streaks

60%1v1 clutch win
11%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3757%0.8813.6
Vertigo2552%0.9113.2
Ancient2339%0.7712.1
Mirage1839%0.9414.6
Nuke1338%0.9614.9
Dust2367%0.8810.0
Inferno20%0.489.0

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.

22.2%Headshot accuracy
32.7%Accuracy (enemy spotted)
30.1%Spray accuracy
85.1%Counter-strafing
9.0°Preaim
680msReaction time
34.1%T opening success
44.8%CT opening success
0.42Enemies flashed / flash
0.7%Flash assists
8.55HE damage / grenade
1.98Flashes / 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 0.4213 — 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 34.1068% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–16-0.0312%5 Jul →
dust21–13-0.0523%5 Jul →
inferno13–40.0235%4 Jul →
ancient10–130.0422%4 Jul →
inferno16–120.0728%4 Jul →
ancient4–13-0.1112%4 Jul →
mirage8–13-0.0324%4 Jul →
dust28–13-0.0225%4 Jul →
ancient13–16-0.0427%26 Jun →
mirage11–13-0.0045%24 Jun →
dust23–13-0.085%24 Jun →
nuke3–00.050%24 Jun →
mirage13–40.0624%5 Jun →
dust27–13-0.0122%5 Jun →
overpass9–13-0.0115%5 Jun →
nuke13–11-0.0127%5 Jun →
inferno13–50.0410%5 Jun →
cache9–13-0.0330%9 May →
cache13–11-0.0416%9 May →
cache13–9-0.0221%9 May →
cache1–13-0.0420%4 May →
cache13–50.0921%4 May →
cache9–13-0.0521%4 May →
cache13–3-0.0422%3 May →
cache6–130.0313%2 May →
cache10–13-0.0115%2 May →
inferno10–13-0.0628%27 Apr →
dust210–13-0.0322%27 Apr →
dust24–130.0424%26 Apr →
inferno13–110.1429%26 Apr →
ancient7–130.0421%26 Apr →
nuke6–13-0.0032%26 Apr →
dust213–50.0624%25 Apr →
inferno5–13-0.0626%25 Apr →
nuke6–13-0.0124%25 Apr →
dust216–130.0217%25 Apr →
dust213–6-0.0224%25 Apr →
anubis2–13-0.0933%25 Apr →
nuke9–50.0730%25 Apr →
inferno9–30.1723%25 Apr →
inferno8–8-0.0738%25 Apr →
mirage3–13-0.0626%19 Apr →
anubis10–130.0119%19 Apr →
mirage13–9-0.0022%17 Apr →
ancient13–16-0.0016%17 Apr →
anubis6–13-0.0115%14 Apr →
inferno13–50.1024%14 Apr →
mirage11–13-0.0020%14 Apr →
dust213–60.0619%14 Apr →
ancient10–13-0.0117%14 Apr →
dust215–150.0018%11 Apr →
inferno10–13-0.019%11 Apr →
overpass11–130.0325%11 Apr →
inferno13–100.0422%11 Apr →
mirage2–13-0.0621%11 Apr →
inferno2–13-0.0725%6 Apr →
dust213–8-0.0212%6 Apr →
ancient13–5-0.069%6 Apr →
dust213–11-0.0222%6 Apr →
mirage10–13-0.0122%3 Apr →
nuke13–10.057%3 Apr →
inferno13–100.0321%28 Mar →
inferno10–130.0621%28 Mar →
nuke13–9-0.0212%20 Mar →
dust24–130.0119%20 Mar →
dust213–50.0316%20 Mar →
dust26–13-0.0122%20 Mar →
mirage13–50.0020%20 Mar →
inferno13–90.0320%10 Jan →
inferno13–5-0.0217%10 Jan →
dust29–130.0020%10 Jan →
dust211–130.0619%10 Jan →
mirage13–80.0616%10 Jan →
inferno2–13-0.084%9 Jan →
dust29–13-0.0322%9 Jan →
inferno13–160.0220%9 Jan →
inferno13–100.0321%9 Jan →
mirage13–50.0124%5 Dec →
nuke13–11-0.0129%5 Dec →
dust213–70.0228%5 Dec →
inferno8–130.0025%23 Nov →
dust27–130.0113%23 Nov →
nuke13–60.1123%23 Nov →
inferno13–30.0519%23 Nov →
inferno5–13-0.0715%23 Nov →
inferno6–13-0.0132%22 Nov →
vertigo2–13-0.0223%22 Nov →
mirage1–13-0.084%22 Nov →
inferno5–13-0.0324%22 Nov →
dust213–110.0223%22 Nov →
nuke6–130.0129%21 Nov →
mirage16–140.1030%21 Nov →
dust212–10.0824%21 Nov →
dust23–13-0.1111%16 Nov →
inferno9–13-0.0417%16 Nov →
dust24–13-0.0314%16 Nov →
dust213–20.0516%16 Nov →
train13–70.036%12 Nov →
dust22–13-0.089%12 Nov →
nuke13–60.0317%12 Nov →

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 →

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