qmvx

qmvx — CS2 Stats

GB76561198170073298[U:1:209807570]Steam profile ↗✓ No bans

276Tracked matches40%Win rate2021Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating21,049Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#70122 of 261623 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (5 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: 21,049 +1,448 24 Sept – 10 Nov · 30 days played
19,60123,285peak 23,28524 Sept10 Nov
23,441Peak Premier in tracked matches
35Days played since 2026-09-24

Premier CS Rating

  • 2,236 below peak (23,285)
  • -1,518 over 30 days · declining
  • Next: Red band at 25,000 — 3,951 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.

Share this profile

CSDB.GGqmvxPREMIER21,049 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning73
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLLWWLWWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +0.4pp headshot accuracy · −2ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

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 (+2.5 against its own average).

Aim8.0
Utility4.8
Positioning7.3
Opening Duels5.0
Clutch2.0

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 89% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 599ms 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

Aim8.0
Positioning7.3
Utility4.8
Mechanics7.4
Opening Duels6.6
Win Impact1.7

Composite 6.7/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time593ms+1ms
first ⅓ avg 592ms → last ⅓ avg 593ms
Headshot accuracy21.5%+1.5%
first ⅓ avg 20.0% → last ⅓ avg 21.5%

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

0.21Best match rating · 13–4 · nuke, 1 Oct →
41%Best headshot accuracy · 5–13 · cache, 4 Oct →
391msFastest reaction time · 13–2 · anubis, 3 Oct →
13–2Biggest win · dust2, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 64% over 14dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%0.02
infernoA1710–759%0.04
dust2C156–940%0.03
cacheA149–564%0.03
nukeB136–746%0.03
anubisA116–555%0.03
ancient—31–233%-0.02
overpass—21–150%0.05
office—11–0100%0.01
train—10–10%0.07
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches
54%Win rate
1.47Avg K/D
103.6ADR
50%Headshot %

Clutches & streaks

30%1v1 clutch win
48%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1844%1.4321.9
Inferno1155%1.3217.8
Nuke771%2.0424.6
Dust2450%1.2619.5
Anubis367%1.4622.3
Ancient367%1.0817.7
Train10%0.7613.0
Cache1100%2.6724.0

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.

21.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.4%Spray accuracy
83.1%Counter-strafing
10.1°Preaim
599msReaction time
61.4%T opening success
51.5%CT opening success
0.63Enemies flashed / flash
8.8%Flash assists
6.62HE damage / grenade
8.40Flashes / match

Recommended for you

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.

40% 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
anubis10–130.1325%13 Nov →
anubis8–130.0120%13 Nov →
dust28–130.0915%11 Nov →
cache13–40.0916%10 Nov →
cache13–110.0425%10 Nov →
anubis9–130.0418%9 Nov →
inferno13–90.0627%9 Nov →
anubis13–90.1033%6 Nov →
mirage9–13-0.0022%6 Nov →
nuke7–13-0.0920%6 Nov →
mirage13–100.1222%2 Nov →
inferno4–130.0036%1 Nov →
dust27–13-0.0120%1 Nov →
mirage13–90.0517%1 Nov →
dust211–13-0.0326%31 Oct →
cache13–7-0.0525%31 Oct →
dust213–60.0322%30 Oct →
dust213–110.0610%30 Oct →
mirage5–13-0.0022%29 Oct →
inferno14–160.0215%29 Oct →
mirage13–10-0.0011%29 Oct →
mirage6–13-0.0219%27 Oct →
inferno13–40.0830%25 Oct →
mirage11–130.0721%25 Oct →
anubis5–13-0.0413%23 Oct →
mirage3–13-0.0523%22 Oct →
dust21–13-0.0526%22 Oct →
inferno2–10-0.0317%22 Oct →
cache7–130.0232%22 Oct →
anubis13–80.0530%21 Oct →
mirage12–120.107%21 Oct →
inferno13–70.0227%20 Oct →
mirage10–13-0.0416%20 Oct →
dust213–20.1332%19 Oct →
mirage10–13-0.0325%19 Oct →
dust22–13-0.0323%19 Oct →
nuke12–160.0419%19 Oct →
inferno10–13-0.0031%18 Oct →
ancient1–13-0.0115%18 Oct →
office13–100.0121%16 Oct →
dust213–60.0818%16 Oct →
anubis13–10-0.0711%16 Oct →
mirage5–13-0.0227%10 Oct →
ancient13–7-0.0114%10 Oct →
dust214–160.0619%10 Oct →
dust26–130.0228%9 Oct →
mirage13–90.0111%9 Oct →
mirage13–90.0517%9 Oct →
inferno13–11-0.0126%9 Oct →
mirage13–8-0.0416%8 Oct →
mirage13–80.0625%6 Oct →
ancient6–13-0.0416%6 Oct →
inferno13–50.1225%6 Oct →
nuke13–60.0535%6 Oct →
anubis13–10-0.0219%6 Oct →
nuke13–40.0238%5 Oct →
mirage13–80.0419%5 Oct →
anubis12–120.0635%5 Oct →
overpass13–60.1428%4 Oct →
mirage5–13-0.0118%4 Oct →
cache5–130.0141%4 Oct →
nuke13–110.0133%4 Oct →
nuke11–130.0416%4 Oct →
cache13–90.0626%4 Oct →
mirage13–20.0525%4 Oct →
mirage7–13-0.0223%3 Oct →
anubis13–20.0125%3 Oct →
nuke7–13-0.0228%3 Oct →
cache13–90.2023%3 Oct →
nuke6–110.0711%3 Oct →
inferno13–80.1218%2 Oct →
nuke13–100.0810%1 Oct →
inferno3–130.0219%1 Oct →
nuke13–40.2124%1 Oct →
dust26–13-0.0712%30 Sept →
inferno1–130.0024%30 Sept →
train4–130.0740%30 Sept →
inferno13–50.2020%30 Sept →
dust25–13-0.0422%29 Sept →
cache13–11-0.0210%29 Sept →
inferno13–10-0.0115%28 Sept →
cache11–13-0.0721%28 Sept →
nuke13–20.0833%28 Sept →
cache13–50.0014%28 Sept →
anubis13–40.1011%28 Sept →
cache9–130.0221%27 Sept →
dust213–70.1216%27 Sept →
vertigo8–13-0.0413%26 Sept →
overpass5–13-0.0313%26 Sept →
inferno1–130.0121%26 Sept →
mirage13–7-0.0115%26 Sept →
nuke8–13-0.0629%26 Sept →
cache13–90.0325%26 Sept →
cache13–110.0522%25 Sept →
dust213–70.0537%25 Sept →
inferno13–50.0426%25 Sept →
nuke1–13-0.069%25 Sept →
cache9–130.0320%25 Sept →
inferno13–7-0.0320%24 Sept →
mirage12–120.0519%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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