jqmz

jqmz — CS2 Stats

76561198353498320[U:1:393232592]Steam profile ↗✓ No bans

681Tracked matches48%Win rate2020Tracked since
1,212Hours in CS
CSDB Rating7.5 StrongPositional Player
Premier CS Rating25,181Top 10% of 204,412 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#18578 of 251655 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Jul 2026 (102 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: 25,181 +7,374 19 Mar – 4 Jul · 10 days played
17,68325,808peak 25,80819 Mar4 Jul
25,808Peak Premier in tracked matches
50Days played since 2025-03-18

Premier CS Rating

  • 627 below peak (25,808)
  • -203 over 30 days · steady
  • Next: Gold band at 30,000 — 4,819 to go
  • Reached: Red band · Pink band · Purple band · 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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate61.8%49.3%50.9%above
Shot accuracy14.0%13.4%11.8%above
Kill/death ratio2.821.121.18above
Match win rate53.3%48.5%51.9%above

Across every metric we can compare, this profile already matches the typical Gold band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGjqmzPREMIER25,181 · Red bandcsdb.gg/stats

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Performance scores

Aim89
Positioning72
Utility60

0–100 skill scores via Leetify.

Recent form

HOT49–43–8Last 10049%Win rateLWLWLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −0.7pp headshot accuracy · +4ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 601ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 599ms

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 (+2.2 against its own average).

Aim8.9
Utility6.0
Positioning7.2
Opening Duels4.0
Clutch3.0

Sharp aimerExcellent counter-strafing

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

iM

Plays most like iM 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim8.9
Positioning7.2
Utility6.0
Mechanics8.8
Opening Duels3.4
Win Impact4.4

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.02
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time589ms−12ms
first ⅓ avg 601ms → last ⅓ avg 589ms
Headshot accuracy22.3%−5.2%
first ⅓ avg 27.5% → last ⅓ avg 22.3%

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

0.23Best match rating · 13–5 · mirage, 17 May →
67%Best headshot accuracy · 13–1 · inferno, 24 Mar →
375msFastest reaction time · 14–16 · nuke, 14 Apr →
13–1Biggest win · inferno, 24 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 57% over 7mirageWeakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
cacheB2311–1248%0.08
mirageB178–947%0.05
nukeA169–756%0.07
dust2B147–750%0.05
ancientA116–555%0.05
infernoA74–357%0.04
overpass—41–325%0.02
train—41–325%0.05
vertigo—21–150%0.03
anubis—21–150%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,362Lifetime kills
2.82K/D · Top 1% of Red band
1,881Matches
53.3%Match win rate · Top 25% of Red band
61.8%Headshot % · Top 10% of Red band
14.0%Shot accuracy · Top 50% of Red band
7,132MVPs
1,212Hours (in match)
1,557Bombs planted
772Bombs defused

Most-used weapons

Lifetime map wins

1,783inferno
1,656dust2
1,281nuke
450train
367vertigo
195cbble
125office
32lake

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

Faceit stats

Combat

78Matches
58%Win rate
1.39Avg K/D
102.0ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
32%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1060%1.9024.1
Dust2978%1.6920.7
Nuke580%1.9324.0
Ancient475%1.8128.8
Cache475%2.2921.5
Anubis10%1.2520.0

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.

21.6%Headshot accuracy
40.5%Accuracy (enemy spotted)
43.3%Spray accuracy
89.6%Counter-strafing
9.4°Preaim
580msReaction time
34.3%T opening success
53.0%CT opening success
0.57Enemies flashed / flash
7.4%Flash assists
7.93HE damage / grenade
13.30Flashes / 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. 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 34.2702% — below the 40% mark we flag

Spend your practice time on Mirage

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

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0220%10 Aug →
nuke13–100.0618%7 Aug →
cache11–130.0317%6 Aug →
ancient22–180.0819%4 Aug →
ancient0–4-0.0533%20 Jul →
cache13–30.2116%16 Jul →
nuke13–90.0325%7 Jul →
nuke13–100.1322%7 Jul →
dust213–70.1123%7 Jul →
ancient13–90.0219%7 Jul →
mirage25–220.0514%5 Jul →
nuke10–13-0.0319%4 Jul →
inferno6–13-0.0318%4 Jul →
dust21–13-0.1136%4 Jul →
mirage10–130.0327%4 Jul →
dust210–13-0.0218%4 Jul →
ancient13–110.1528%1 Jul →
ancient6–130.0822%1 Jul →
inferno13–110.0517%27 Jun →
mirage8–130.0320%23 Jun →
nuke3–130.0522%22 Jun →
nuke13–110.1428%10 Jun →
nuke10–130.0728%8 Jun →
mirage13–70.1119%8 Jun →
mirage4–13-0.0024%7 Jun →
ancient13–80.0435%6 Jun →
dust24–13-0.0129%6 Jun →
overpass13–110.0320%6 Jun →
overpass15–150.0618%5 Jun →
ancient14–160.0121%5 Jun →
nuke10–130.0329%3 Jun →
nuke13–60.0319%3 Jun →
ancient3–13-0.0211%1 Jun →
ancient13–90.0421%1 Jun →
nuke15–150.0418%1 Jun →
vertigo9–13-0.0115%1 Jun →
anubis10–130.0817%28 May →
mirage13–110.0321%27 May →
nuke13–80.1524%27 May →
dust216–130.0125%27 May →
mirage4–13-0.0214%27 May →
vertigo13–100.0813%26 May →
ancient13–50.1816%26 May →
mirage9–13-0.0217%26 May →
mirage13–50.2331%17 May →
cache13–40.1118%16 May →
cache13–60.0823%16 May →
cache13–110.1525%16 May →
cache10–130.0116%16 May →
cache6–130.0223%16 May →
cache10–130.0828%15 May →
cache13–110.1725%13 May →
cache7–13-0.0230%13 May →
cache8–130.0723%13 May →
cache6–130.0020%13 May →
cache13–60.0629%7 May →
cache13–20.1821%7 May →
cache12–120.1832%7 May →
cache12–120.0125%7 May →
cache13–100.0619%2 May →
cache13–50.1718%2 May →
cache13–60.0811%2 May →
cache11–13-0.0024%2 May →
cache12–120.0919%30 Apr →
cache13–40.0421%30 Apr →
cache12–12-0.0210%30 Apr →
mirage4–130.0015%11 Oct →
overpass10–130.0332%3 Aug →
inferno4–13-0.0213%3 Aug →
mirage13–100.0827%3 Aug →
nuke4–110.2025%2 Aug →
nuke16–130.0627%1 Aug →
dust216–140.0920%31 Jul →
train8–130.0219%31 Jul →
inferno8–130.0422%31 Jul →
dust213–60.0926%31 Jul →
mirage13–110.0221%31 Jul →
dust213–90.1425%28 Jul →
inferno13–80.0328%24 Jul →
inferno13–70.1442%5 May →
dust25–130.0418%21 Apr →
train6–130.0329%15 Apr →
mirage11–50.1816%15 Apr →
mirage13–60.0818%14 Apr →
nuke14–16-0.0120%14 Apr →
mirage7–13-0.0346%13 Apr →
dust212–120.0329%9 Apr →
overpass1–13-0.0435%9 Apr →
nuke13–90.1225%9 Apr →
mirage12–120.0533%9 Apr →
nuke13–60.0827%8 Apr →
train13–70.1126%8 Apr →
dust213–20.1023%1 Apr →
train6–130.0625%28 Mar →
dust211–130.1331%24 Mar →
inferno13–10.0867%24 Mar →
dust213–90.0932%22 Mar →
mirage8–130.0725%19 Mar →
anubis13–60.0227%19 Mar →
dust27–13-0.0229%18 Mar →

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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