Qm8x

Qm8x — CS2 Stats

MK76561198366332818[U:1:406067090]Steam profile ↗✓ No bans

282Tracked matches48%Win rate2020Tracked since
4,633Hours in CS8Hrs last 2 wks
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating21,029Pink band · top ~7.4% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGQm8xPREMIER21,029 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning65
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −5ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 579ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility5.9
Positioning6.5
Opening Duels7.0

Strong T-side openerEffective flashes

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

device

Plays most like device 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 598ms 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

Aim8.1
Positioning6.5
Utility5.9
Mechanics7.8
Opening Duels5.5
Win Impact4.4

Composite 6.9/10 (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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time604ms−60ms
first ⅓ avg 665ms → last ⅓ avg 604ms
Headshot accuracy24.1%−1.0%
first ⅓ avg 25.1% → last ⅓ avg 24.1%

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

0.14Best match rating · 13–4 · mirage, 19 Oct →
50%Best headshot accuracy · 2–9 · nuke, 4 Oct →
406msFastest reaction time · 9–13 · inferno, 14 Jul →
13–3Biggest win · cache, 6 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 82% over 11dust2Weakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%0.02
infernoA1810–856%0.00
dust2D174–1324%-0.02
anubisS139–469%0.00
ancientS119–282%0.00
vertigoS64–267%0.01
overpass—31–233%-0.03
italy—32–167%0.02
cache—21–150%0.01
nuke—21–150%-0.06
jura—10–10%0.01
train—10–10%0.08
thera—10–10%-0.10
office—10–10%-0.03
mills—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,073Lifetime kills
0.99K/D
6,592Matches
47.4%Match win rate
48.7%Headshot %
15.2%Shot accuracy
19,885MVPs
2,506Hours (in match)
4,778Bombs planted
3,642Bombs defused

Most-used weapons

AK-4743,469
AWP14,534
Knife2,663
P2502,037
UMP-451,967
MP91,771

Lifetime map wins

13,566dust2
12,701inferno
2,552vertigo
1,749train
1,485nuke
483cbble
216italy
155office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.4%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.0%Spray accuracy
84.9%Counter-strafing
8.6°Preaim
598msReaction time
53.8%T opening success
50.2%CT opening success
0.73Enemies flashed / flash
9.3%Flash assists
7.23HE damage / grenade
6.79Flashes / 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.

24% win rate across 17 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
ancient13–80.0621%11 Nov →
dust212–160.0427%6 Nov →
ancient9–130.0420%6 Nov →
cache13–30.0217%6 Nov →
mirage13–80.0113%5 Nov →
dust213–30.0325%3 Nov →
dust28–130.0116%3 Nov →
mirage13–40.1426%19 Oct →
anubis13–110.0627%9 Oct →
dust22–13-0.0532%9 Oct →
inferno11–130.0615%1 Oct →
dust21–4-0.0436%29 Sept →
mirage13–160.0917%9 Aug →
vertigo13–30.0123%30 Jul →
vertigo13–8-0.0713%29 Jul →
anubis10–13-0.0125%28 Jul →
anubis13–90.0218%28 Jul →
ancient13–6-0.0420%15 Jul →
inferno9–13-0.0215%14 Jul →
dust23–13-0.0720%14 Jul →
mirage13–80.0128%13 Jul →
inferno5–130.0329%3 Jul →
vertigo13–60.0840%9 Jun →
overpass7–13-0.0619%7 Jun →
ancient5–130.0727%7 Jun →
anubis13–90.0028%6 Jun →
inferno11–13-0.0029%6 Jun →
mirage10–130.0426%7 May →
inferno15–150.0535%7 May →
ancient13–3-0.0224%3 May →
cache10–13-0.0129%29 Apr →
mirage13–70.0036%22 Apr →
ancient13–100.0719%22 Apr →
overpass16–13-0.0225%22 Apr →
ancient13–10-0.0621%21 Apr →
mirage7–130.0226%21 Apr →
dust213–60.0124%15 Apr →
dust215–150.0335%15 Apr →
anubis13–7-0.0038%5 Apr →
inferno13–30.0531%5 Apr →
anubis13–7-0.0226%4 Apr →
dust211–130.0519%3 Apr →
dust25–10-0.0313%3 Apr →
mirage14–16-0.0039%2 Apr →
anubis13–90.0221%1 Apr →
inferno13–80.0440%1 Apr →
mirage10–13-0.0220%30 Mar →
inferno9–20.0825%30 Mar →
dust214–160.0218%30 Mar →
mirage13–10-0.0430%29 Mar →
mirage2–13-0.0535%23 Jan →
mirage7–130.0127%23 Jan →
anubis13–50.1123%23 Jan →
ancient13–11-0.0323%1 Jan →
dust213–11-0.0425%31 Dec →
inferno13–9-0.0812%31 Dec →
overpass11–130.0125%30 Dec →
dust215–15-0.0122%29 Dec →
mirage6–13-0.0626%29 Dec →
dust210–13-0.0719%10 Dec →
dust213–4-0.0324%10 Sept →
mirage15–15-0.0323%26 Aug →
anubis6–13-0.0511%21 Aug →
inferno9–7-0.0726%21 Aug →
inferno13–70.0216%14 Aug →
inferno13–8-0.0225%4 Aug →
mirage13–80.0127%4 Aug →
ancient16–14-0.0024%2 Aug →
anubis13–7-0.0227%6 Jun →
jura8–130.0131%6 Jun →
inferno13–8-0.0120%1 Jun →
inferno13–9-0.0320%4 Mar →
italy5–130.0528%26 Feb →
mirage13–110.1232%19 Feb →
mirage3–10-0.0812%26 Jan →
inferno7–13-0.0331%25 Jan →
dust23–12-0.0522%22 Dec →
train10–130.0835%14 Nov →
dust22–13-0.0628%10 Oct →
thera4–13-0.108%9 Oct →
anubis0–6-0.0725%8 Oct →
anubis10–13-0.0428%7 Oct →
vertigo13–30.0633%7 Oct →
italy13–4-0.0413%6 Oct →
office11–13-0.0326%6 Oct →
mills13–60.0516%5 Oct →
italy13–60.0727%4 Oct →
mirage13–100.1430%4 Oct →
nuke2–9-0.1650%4 Oct →
inferno13–80.1032%4 Oct →
mirage11–40.0822%4 Oct →
vertigo11–130.0732%30 Aug →
mirage13–50.0219%13 Aug →
inferno11–13-0.0521%13 Aug →
ancient13–9-0.0031%24 Jun →
anubis13–80.0619%23 Jun →
inferno4–13-0.0517%21 Jun →
vertigo0–6-0.1220%21 Jun →
ancient16–14-0.0416%20 Jun →
nuke13–70.0435%20 Jun →

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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