Meeik

Meeik — CS2 Stats

DE76561197962017697[U:1:1751969]Steam profile ↗✓ No bans

792Tracked matches43%Win rate2023Tracked since
CSDB Rating5.1 DevelopingAll-Rounder
Premier CS Rating14,774Blue band · top ~29.6% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 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: 14,774 +1,691 16 Jun – 26 Sept · 30 days played
12,14115,106peak 15,10616 Jun26 Sept
15,106Peak Premier in tracked matches
49Days played since 2026-06-16

Premier CS Rating

  • 332 below peak (15,106)
  • -118 over 30 days · steady
  • +2,394 over 90 days
  • Next: Purple band at 15,000 — 226 to go
  • Reached: 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.GGMeeikPREMIER14,774 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLLWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · +44ms 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 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 511ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 562ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 540ms

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.

Aim5.9
Utility6.2
Positioning5.6
Opening Duels4.5

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

jL

Plays most like jL 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 554ms 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

Aim5.9
Positioning5.6
Utility6.2
Mechanics5.0
Opening Duels4.9
Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time558ms−66ms
first ⅓ avg 623ms → last ⅓ avg 558ms
Headshot accuracy10.1%+0.7%
first ⅓ avg 9.4% → last ⅓ avg 10.1%

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

0.13Best match rating · 13–3 · cache, 19 Aug →
25%Best headshot accuracy · 13–3 · cache, 19 Aug →
406msFastest reaction time · 5–13 · dust2, 21 Aug →
13–1Biggest win · inferno, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 12anubisWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.00
anubisD173–1418%-0.01
dust2C166–1038%-0.01
ancientC145–936%0.00
nukeB137–654%0.01
cacheS128–467%0.01
mirage—32–167%0.01
overpass—20–20%-0.07
vertigo—10–10%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.2%Headshot accuracy
39.4%Accuracy (enemy spotted)
36.2%Spray accuracy
72.3%Counter-strafing
11.3°Preaim
554msReaction time
47.2%T opening success
51.8%CT opening success
0.61Enemies flashed / flash
2.2%Flash assists
13.56HE damage / grenade
6.08Flashes / 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 10.1737% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0315%30 Sept →
dust29–130.0111%26 Sept →
vertigo10–130.0813%26 Sept →
cache13–11-0.0314%25 Sept →
inferno5–13-0.059%25 Sept →
nuke0–13-0.0914%25 Sept →
anubis6–13-0.0210%20 Sept →
dust27–13-0.0419%20 Sept →
dust211–13-0.009%17 Sept →
ancient13–9-0.0114%17 Sept →
anubis6–13-0.052%16 Sept →
nuke13–80.0512%16 Sept →
cache13–110.008%14 Sept →
mirage13–9-0.018%14 Sept →
ancient6–13-0.0312%11 Sept →
mirage13–110.018%11 Sept →
anubis3–13-0.0114%7 Sept →
anubis5–13-0.017%7 Sept →
inferno7–13-0.0412%4 Sept →
inferno13–4-0.037%2 Sept →
nuke10–130.029%1 Sept →
cache13–70.0611%1 Sept →
inferno10–13-0.0011%30 Aug →
cache13–80.0710%30 Aug →
ancient11–130.0110%28 Aug →
nuke13–40.1211%28 Aug →
ancient13–50.028%28 Aug →
anubis13–11-0.029%25 Aug →
inferno11–13-0.023%25 Aug →
inferno13–40.068%25 Aug →
ancient11–130.028%24 Aug →
ancient13–30.045%24 Aug →
nuke13–40.0113%24 Aug →
anubis10–13-0.0013%21 Aug →
dust25–13-0.0413%21 Aug →
cache3–13-0.0615%20 Aug →
ancient13–7-0.003%20 Aug →
inferno13–60.0115%19 Aug →
cache13–30.1325%19 Aug →
cache13–8-0.0114%18 Aug →
inferno13–20.0811%18 Aug →
nuke13–40.115%18 Aug →
cache12–12-0.0614%18 Aug →
anubis7–13-0.0715%11 Aug →
dust213–11-0.009%8 Aug →
mirage13–160.038%8 Aug →
nuke4–13-0.0612%8 Aug →
dust216–140.0214%7 Aug →
nuke6–13-0.035%7 Aug →
inferno13–80.095%2 Aug →
ancient9–130.0513%1 Aug →
anubis13–16-0.033%31 Jul →
anubis14–160.033%30 Jul →
anubis7–13-0.017%30 Jul →
inferno10–13-0.089%28 Jul →
nuke13–70.003%28 Jul →
dust213–10-0.055%28 Jul →
inferno13–11-0.043%28 Jul →
cache8–130.079%27 Jul →
dust213–50.063%27 Jul →
cache13–80.0011%26 Jul →
anubis8–130.0110%26 Jul →
ancient7–13-0.076%26 Jul →
anubis3–13-0.0612%26 Jul →
dust211–13-0.009%24 Jul →
cache13–8-0.0413%24 Jul →
inferno16–140.057%22 Jul →
nuke5–13-0.088%22 Jul →
anubis13–4-0.039%22 Jul →
dust213–20.0515%22 Jul →
anubis13–110.066%21 Jul →
ancient6–130.019%19 Jul →
dust24–13-0.073%17 Jul →
nuke11–130.034%17 Jul →
inferno13–100.0113%16 Jul →
ancient13–3-0.0117%16 Jul →
inferno13–10.133%16 Jul →
nuke13–60.1211%16 Jul →
ancient7–13-0.059%13 Jul →
cache15–150.0116%13 Jul →
anubis10–130.0214%12 Jul →
ancient8–130.019%12 Jul →
nuke13–7-0.0111%7 Jul →
inferno12–12-0.0317%7 Jul →
overpass2–13-0.075%5 Jul →
anubis7–130.0211%3 Jul →
inferno13–6-0.014%3 Jul →
dust215–150.048%2 Jul →
dust213–30.048%2 Jul →
inferno6–130.0113%30 Jun →
inferno11–13-0.038%30 Jun →
overpass7–13-0.073%30 Jun →
inferno13–70.046%29 Jun →
dust20–13-0.020%28 Jun →
inferno13–10-0.005%28 Jun →
dust28–130.0412%28 Jun →
anubis13–160.0211%22 Jun →
dust28–13-0.1120%21 Jun →
inferno8–13-0.0313%18 Jun →
inferno8–13-0.0010%16 Jun →

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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