Meeks

Meeks — CS2 Stats

US76561199021652526[U:1:1061386798]Steam profile ↗✓ No bans

1,901Tracked matches68%Win rate2020Tracked since
1,668Hours in CS9Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating20,725Top 50% of 211,494 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#72866 of 258438 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (11 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: 20,725 +5,030 29 Apr – 18 Oct · 7 days played
14,72420,725peak 20,72529 Apr18 Oct
20,725Peak Premier in tracked matches
45Days played since 2026-04-24

Premier CS Rating

  • At peak — 20,725
  • Next: Red band at 25,000 — 4,275 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate51.8%46.9%49.3%above
Shot accuracy11.4%13.0%13.4%2.0% short
Kill/death ratio0.941.081.120.19 short
Match win rate43.6%46.7%48.5%4.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMeeksPREMIER20,725 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

HOT59–35–6Last 10059%Win rateLWWWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +3.8pp headshot accuracy · −17ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 606ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 614ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.5
Utility4.8
Positioning4.8
Opening Duels1.0
Clutch4.2

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 47% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 606ms 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
Positioning4.8
Utility4.8
Mechanics6.0
Opening Duels2.3
Win Impact10.0

Composite 5.9/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time614ms−15ms
first ⅓ avg 629ms → last ⅓ avg 614ms
Headshot accuracy19.4%−1.0%
first ⅓ avg 20.4% → last ⅓ avg 19.4%

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

0.31Best match rating · 9–0 · inferno, 15 May →
45%Best headshot accuracy · 3–9 · poseidon, 28 Jul →
438msFastest reaction time · 11–13 · anubis, 26 Apr →
13–0Biggest win · cache, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 83% over 6vertigoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2112–957%-0.01
infernoA1912–763%0.00
cacheS1310–377%0.00
mirageS118–373%-0.01
anubisC94–544%-0.02
vertigoD72–529%-0.03
officeS65–183%-0.01
nukeB63–350%0.00
ancient—42–250%-0.02
poseidon—31–233%-0.02
train—10–10%-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,820Lifetime kills
0.94K/D
2,690Matches
43.6%Match win rate
51.8%Headshot % · Top 50% of Pink band
11.4%Shot accuracy
5,396MVPs
981Hours (in match)
4,051Bombs planted
738Bombs defused

Most-used weapons

Lifetime map wins

6,284inferno
4,975dust2
1,357nuke
1,073vertigo
528train
212office
36cbble
25italy

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

Faceit stats

Combat

147Matches
54%Win rate
1.03Avg K/D
68.7ADR
46%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1953%1.0714.6
Mirage1953%0.9013.4
Anubis1457%1.0614.2
Dust21145%0.8214.4
Ancient20%1.2818.5
Vertigo10%0.8416.0

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.

18.9%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.3%Spray accuracy
76.9%Counter-strafing
9.1°Preaim
606msReaction time
46.9%T opening success
31.2%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
11.16HE damage / grenade
8.00Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.1823% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–13-0.0722%28 Oct →
dust213–7-0.0024%27 Oct →
mirage13–10-0.0025%26 Oct →
inferno13–40.027%26 Oct →
dust29–13-0.0318%26 Oct →
mirage13–10-0.0120%26 Oct →
cache13–4-0.0127%26 Oct →
cache13–80.0035%25 Oct →
inferno9–10.0427%25 Oct →
inferno5–00.0320%25 Oct →
cache13–8-0.0322%24 Oct →
dust213–60.0418%18 Oct →
cache5–130.0019%18 Oct →
mirage7–13-0.1010%18 Oct →
ancient13–70.0028%17 Oct →
cache7–13-0.0529%8 Oct →
inferno13–80.0122%8 Oct →
dust26–13-0.0615%8 Oct →
cache13–60.0117%8 Oct →
ancient15–15-0.037%4 Oct →
inferno16–120.0114%4 Oct →
nuke10–13-0.038%4 Oct →
ancient15–15-0.0715%4 Oct →
nuke13–80.0433%3 Oct →
inferno8–13-0.047%3 Oct →
mirage13–8-0.0417%3 Oct →
inferno13–6-0.0517%23 Sept →
cache13–00.0819%13 Sept →
cache13–50.0028%13 Sept →
inferno7–13-0.0610%13 Sept →
inferno13–100.0421%12 Sept →
dust213–50.0222%9 Sept →
inferno13–4-0.0020%9 Sept →
nuke12–12-0.0211%9 Sept →
office13–11-0.0416%3 Sept →
office13–10-0.0323%3 Sept →
inferno13–20.0239%19 Aug →
train9–13-0.0124%16 Aug →
nuke10–13-0.0424%16 Aug →
dust213–3-0.0116%16 Aug →
anubis7–5-0.0311%8 Aug →
mirage13–10.1128%8 Aug →
mirage13–100.028%8 Aug →
inferno2–110.087%7 Aug →
vertigo2–13-0.058%2 Aug →
vertigo4–13-0.105%2 Aug →
vertigo10–130.0512%2 Aug →
inferno7–9-0.0724%28 Jul →
poseidon3–9-0.1445%28 Jul →
anubis13–8-0.0815%24 Jul →
anubis9–130.0513%24 Jul →
mirage13–7-0.0115%16 Jul →
inferno13–9-0.0718%16 Jul →
dust28–13-0.0540%16 Jul →
dust213–40.0224%14 Jul →
office13–70.0532%12 Jul →
office13–60.0115%12 Jul →
anubis11–13-0.0214%28 Jun →
ancient13–9-0.0110%16 Jun →
dust26–20.0021%16 Jun →
dust213–5-0.0222%14 Jun →
inferno5–13-0.0815%7 Jun →
dust211–13-0.0810%7 Jun →
mirage13–50.0122%7 Jun →
dust214–16-0.0210%6 Jun →
dust212–120.0722%5 Jun →
vertigo8–80.0225%5 Jun →
vertigo13–4-0.0417%3 Jun →
vertigo4–13-0.0136%3 Jun →
anubis13–7-0.0121%31 May →
anubis13–11-0.0214%31 May →
anubis4–13-0.0924%31 May →
dust213–40.029%25 May →
cache13–90.0231%25 May →
inferno9–00.3125%15 May →
poseidon9–30.1732%15 May →
poseidon8–8-0.0921%15 May →
office13–110.0321%15 May →
cache13–100.0218%12 May →
cache13–70.0017%12 May →
cache13–7-0.0025%7 May →
dust211–13-0.0112%5 May →
inferno5–13-0.0815%1 May →
mirage8–13-0.0025%1 May →
dust21–13-0.086%1 May →
dust213–100.0123%29 Apr →
dust213–80.0524%29 Apr →
cache3–13-0.0125%29 Apr →
anubis9–130.0232%28 Apr →
dust211–13-0.0023%28 Apr →
inferno11–13-0.029%28 Apr →
mirage6–13-0.0323%27 Apr →
inferno13–10-0.0717%26 Apr →
mirage13–9-0.019%26 Apr →
nuke13–40.0125%26 Apr →
anubis11–13-0.0124%26 Apr →
vertigo12–12-0.0821%25 Apr →
nuke13–100.0517%25 Apr →
dust213–7-0.0018%25 Apr →
dust210–30.0118%24 Apr →

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 →

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