Meg7

Meg7 — CS2 Stats

NL76561199107549772[U:1:1147284044]Steam profile ↗✓ No bans

481Tracked matches43%Win rate2021Tracked since
445Hours in CS11Hrs last 2 wks
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating7,797Light Blue band · top ~65.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 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: 7,797 +5,965 18 Jan – 30 Sept · 22 days played
1,8327,797peak 7,79718 Jan30 Sept
7,797Peak Premier in tracked matches
56Days played since 2026-01-18

Premier CS Rating

  • At peak — 7,797
  • Next: Blue band at 10,000 — 2,203 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.1%39.9%42.0%9.9% short
Shot accuracy3.3%7.0%9.6%6.3% short
Kill/death ratio0.590.920.980.39 short
Match win rate35.9%42.3%43.8%7.9% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGMeg7PREMIER7,797 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning20
Utility9

0–100 skill scores via Leetify.

Recent form

COLD43–56–1Last 10043%Win rateWLLLLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −117ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 522ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 558ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 616ms

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 (+3.3 against its own average).

Aim6.2
Utility0.9
Positioning2.0
Opening Duels0.0
Clutch5.4

Limited 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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

Reaction time. 641ms 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

Aim6.2
Positioning2.0
Utility0.9
Mechanics7.3
Opening Duels0.0
Win Impact2.8

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time654ms−32ms
first ⅓ avg 686ms → last ⅓ avg 654ms
Headshot accuracy9.9%+1.9%
first ⅓ avg 8.1% → last ⅓ avg 9.9%

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

0.11Best match rating · 13–11 · mirage, 27 May →
33%Best headshot accuracy · 0–13 · mirage, 27 Apr →
438msFastest reaction time · 5–13 · dust2, 27 Sept →
13–2Biggest win · mirage, 5 Mar →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 65% over 20cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3314–1942%-0.04
infernoS2013–765%-0.03
nukeD155–1033%-0.05
anubisC125–742%-0.05
cacheD72–529%-0.06
vertigo—41–325%-0.03
overpass—31–233%-0.03
ancient—32–167%-0.03
dust2—20–20%-0.08
stronghold—10–10%0.03

Across the last 100 tracked matches.

Lifetime stats

5,542Lifetime kills
0.59K/D
574Matches
35.9%Match win rate
32.1%Headshot %
3.3%Shot accuracy
604MVPs
226Hours (in match)
1,071Bombs planted
91Bombs defused

Most-used weapons

Lifetime map wins

825inferno
768nuke
489dust2
296vertigo
96train
60office
22italy
17aztec

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

Faceit stats

Combat

51Matches
35%Win rate
0.58Avg K/D
45.9ADR
34%Headshot %

Clutches & streaks

47%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage922%0.618.0
Anubis838%0.7010.5
Inferno8100%0.567.5
Nuke729%0.559.0
Vertigo540%0.659.8
Dust250%0.345.0
Mutiny250%0.859.5
Akiba10%0.6213.0

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.

10.1%Headshot accuracy
37.8%Accuracy (enemy spotted)
41.7%Spray accuracy
82.7%Counter-strafing
10.9°Preaim
641msReaction time
13.1%T opening success
12.0%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
4.72HE damage / grenade
0.17Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.1039% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0703 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 13.099% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0420%30 Sept →
vertigo8–13-0.0124%29 Sept →
anubis7–13-0.027%29 Sept →
dust25–13-0.1010%27 Sept →
mirage3–13-0.085%27 Sept →
nuke6–13-0.095%27 Sept →
cache8–13-0.0611%23 Sept →
mirage1–13-0.084%23 Sept →
mirage13–10-0.0113%22 Sept →
inferno14–16-0.0310%22 Sept →
inferno7–13-0.0611%20 Sept →
mirage13–9-0.039%20 Sept →
anubis5–13-0.054%9 Sept →
inferno13–80.0011%26 Aug →
cache7–13-0.0814%18 Aug →
anubis4–13-0.1113%9 Aug →
nuke13–90.015%6 Aug →
inferno13–60.024%3 Aug →
cache7–13-0.067%3 Aug →
nuke13–11-0.036%2 Aug →
cache13–5-0.0114%2 Aug →
inferno13–80.088%2 Aug →
mirage11–13-0.0713%28 Jul →
inferno13–9-0.0614%23 Jul →
inferno13–5-0.0623%23 Jul →
nuke7–13-0.120%22 Jul →
anubis16–13-0.097%14 Jul →
mirage13–7-0.0117%14 Jul →
cache12–16-0.0910%13 Jul →
inferno9–13-0.056%11 Jul →
cache13–5-0.0313%11 Jul →
vertigo13–11-0.053%10 Jul →
mirage13–7-0.108%15 Jun →
inferno7–13-0.0416%14 Jun →
nuke13–9-0.0815%14 Jun →
vertigo10–13-0.0213%4 Jun →
mirage10–13-0.099%1 Jun →
nuke9–13-0.0714%1 Jun →
inferno13–11-0.075%29 May →
cache4–13-0.1315%27 May →
mirage13–110.1116%27 May →
anubis9–13-0.0710%15 May →
overpass9–13-0.0122%14 May →
inferno9–1-0.088%14 May →
mirage4–13-0.0513%11 May →
inferno8–13-0.015%11 May →
overpass11–13-0.0415%10 May →
mirage13–10-0.077%10 May →
mirage2–130.0011%10 May →
nuke9–130.0517%10 May →
mirage12–16-0.063%29 Apr →
mirage1–13-0.1030%27 Apr →
anubis8–13-0.038%27 Apr →
mirage0–13-0.0633%27 Apr →
mirage9–13-0.0717%18 Apr →
vertigo8–13-0.0511%18 Apr →
anubis13–10-0.069%18 Apr →
nuke13–10-0.083%4 Apr →
ancient8–13-0.036%4 Apr →
mirage0–13-0.056%4 Apr →
mirage13–11-0.057%2 Apr →
inferno13–4-0.005%29 Mar →
mirage10–13-0.0310%29 Mar →
mirage13–80.019%24 Mar →
overpass16–13-0.038%24 Mar →
mirage4–13-0.0010%22 Mar →
nuke13–9-0.0010%14 Mar →
anubis13–30.028%6 Mar →
mirage8–13-0.067%6 Mar →
mirage13–20.099%5 Mar →
anubis13–40.0013%5 Mar →
nuke11–13-0.077%3 Mar →
ancient13–8-0.009%1 Mar →
mirage13–5-0.0210%1 Mar →
nuke7–13-0.0017%26 Feb →
mirage10–13-0.058%26 Feb →
mirage13–10-0.059%21 Feb →
mirage7–130.007%17 Feb →
mirage8–13-0.0817%7 Feb →
nuke11–13-0.085%4 Feb →
anubis9–13-0.087%4 Feb →
nuke10–13-0.031%3 Feb →
inferno13–60.0510%3 Feb →
mirage1–13-0.080%3 Feb →
ancient13–8-0.0510%3 Feb →
inferno0–13-0.065%3 Feb →
mirage15–15-0.0615%1 Feb →
anubis13–11-0.020%1 Feb →
mirage13–8-0.023%31 Jan →
inferno13–7-0.0010%31 Jan →
nuke2–13-0.0911%25 Jan →
stronghold6–130.037%25 Jan →
nuke6–13-0.056%24 Jan →
mirage13–40.013%20 Jan →
anubis4–13-0.050%20 Jan →
inferno3–13-0.1013%19 Jan →
mirage13–7-0.009%19 Jan →
inferno13–10-0.0513%19 Jan →
inferno13–5-0.015%18 Jan →
dust24–13-0.0613%18 Jan →

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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