メメ

メメ — CS2 Stats

76561198843899718[U:1:883633990]Steam profile ↗1 game ban

438Tracked matches57%Win rate2021Tracked since
830Hours in CS11Hrs last 2 wks
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating12,368Blue band · top ~42.3% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 20 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,368 +2,772 22 Jul18 Sept · 11 days played
9,59612,728peak 12,72822 Jul18 Sept
13,048Peak Premier in tracked matches
22Days played since 2026-05-20

Premier CS Rating

  • 360 below peak (12,728)
  • +1,468 over 30 days · improving
  • Next: Purple band at 15,000 2,632 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.0%41.9%44.3%above
Shot accuracy6.9%9.6%11.8%5.0% short
Kill/death ratio0.720.981.030.32 short
Match win rate32.5%43.8%45.2%12.7% short

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

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

Share this profile

CSDB.GGメメPREMIER12,368 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY494110Last 10049%Win rateWWLLTLWWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · +25ms 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

  • 221 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 717ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 685ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 673ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim5.9
Utility2.9
Positioning5.8
Opening Duels4.6
Clutch6.0

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

s1mple

Plays most like s1mple 85% 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

Areas to improve

Reaction time. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.8
Utility2.9
Mechanics4.1
Opening Duels5.1
Win Impact7.4

Composite 5.0/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time674ms+21ms
first ⅓ avg 652ms → last ⅓ avg 674ms
Headshot accuracy29.7%+12.1%
first ⅓ avg 17.6% → last ⅓ avg 29.7%

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

0.19Best match rating · 9–0 · inferno, 18 Sept
55%Best headshot accuracy · 0–13 · mirage, 26 Aug
469msFastest reaction time · 13–11 · mirage, 22 Jul
13–0Biggest win · inferno, 23 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
53In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS2014670%0.03
dust2A159660%0.01
mirageB157847%-0.00
ancientC145936%0.01
nukeD112918%-0.02
cacheS86275%0.01
anubisD82625%0.02
vertigoS64267%0.04
overpass2020%-0.03
poseidon1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,509Lifetime kills
0.72K/D
1,370Matches
32.5%Match win rate
51.0%Headshot % · Top 25% of Blue band
6.9%Shot accuracy
2,041MVPs
516Hours (in match)
389Bombs planted
177Bombs defused

Most-used weapons

Lifetime map wins

2,158inferno
1,181dust2
760nuke
698vertigo
184train
9italy
2ar_shoots

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

Faceit stats

Combat

4Matches
75%Win rate
1.09Avg K/D
90.1ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%0.8416.0
Mirage10%1.7723.0
Anubis1100%0.909.0

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.

28.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
30.3%Spray accuracy
68.4%Counter-strafing
10.6°Preaim
672msReaction time
50.7%T opening success
49.9%CT opening success
0.40Enemies flashed / flash
3.9%Flash assists
5.25HE damage / grenade
3.84Flashes / 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. 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 0.4034 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–4-0.0529%18 Sept
inferno9–00.1950%18 Sept
dust29–13-0.0127%18 Sept
dust29–13-0.0516%18 Sept
inferno15–150.0138%17 Sept
ancient9–130.0312%17 Sept
inferno13–50.0838%17 Sept
nuke16–140.0423%17 Sept
nuke5–13-0.0723%17 Sept
dust213–70.0047%17 Sept
cache13–9-0.0625%10 Sept
dust213–40.0812%10 Sept
inferno16–130.0326%10 Sept
inferno3–90.0623%26 Aug
ancient13–90.0313%26 Aug
dust22–13-0.0327%26 Aug
vertigo9–60.1438%26 Aug
poseidon6–9-0.0230%26 Aug
mirage0–13-0.0455%26 Aug
cache13–10.0347%26 Aug
cache13–40.0836%26 Aug
dust213–40.0135%26 Aug
mirage13–6-0.0148%22 Aug
vertigo2–13-0.0423%21 Aug
dust26–10.0946%21 Aug
nuke14–16-0.0434%20 Aug
inferno13–6-0.0132%20 Aug
mirage10–13-0.0019%20 Aug
nuke14–16-0.0030%16 Aug
ancient13–50.0225%15 Aug
ancient5–13-0.076%15 Aug
cache8–13-0.0528%15 Aug
inferno13–70.0622%15 Aug
anubis15–15-0.0226%15 Aug
dust213–70.0237%15 Aug
inferno13–90.0430%15 Aug
ancient8–13-0.0423%15 Aug
nuke15–150.0319%15 Aug
mirage13–2-0.0333%15 Aug
inferno7–13-0.0525%2 Aug
nuke5–13-0.0412%24 Jul
ancient10–13-0.048%24 Jul
dust213–3-0.0114%24 Jul
ancient10–130.019%24 Jul
mirage13–8-0.0116%24 Jul
inferno13–00.1036%23 Jul
ancient13–70.0311%23 Jul
nuke13–10-0.0811%23 Jul
ancient13–160.0222%23 Jul
inferno13–6-0.0315%23 Jul
dust213–100.0626%23 Jul
mirage9–13-0.0328%22 Jul
inferno10–13-0.0319%22 Jul
cache13–100.0227%22 Jul
anubis8–130.0029%22 Jul
dust213–80.029%22 Jul
cache13–2-0.0514%22 Jul
inferno13–110.0415%22 Jul
anubis6–130.0619%22 Jul
dust24–13-0.0716%22 Jul
mirage13–11-0.0421%22 Jul
inferno13–60.0724%22 Jul
inferno13–11-0.0324%22 Jul
ancient7–13-0.018%22 Jul
mirage13–80.0113%22 Jul
cache13–90.1130%22 Jul
nuke10–13-0.0128%21 Jul
anubis13–7-0.0123%21 Jul
ancient16–130.0127%21 Jul
nuke2–130.0221%21 Jul
mirage13–40.0134%21 Jul
ancient10–13-0.0417%21 Jul
anubis15–15-0.0111%21 Jul
mirage15–15-0.0013%21 Jul
ancient10–130.1026%21 Jul
mirage6–13-0.0719%21 Jul
ancient13–90.0517%21 Jul
anubis8–130.0227%21 Jul
vertigo9–0-0.010%20 Jul
inferno12–120.0219%20 Jul
mirage13–70.1420%20 Jul
anubis13–50.098%20 Jul
vertigo12–120.1211%18 Jul
dust213–8-0.0219%18 Jul
anubis11–130.0311%13 Jul
cache12–120.015%13 Jul
overpass4–13-0.0217%18 Jun
inferno9–30.1619%18 Jun
mirage8–13-0.0227%5 Jun
inferno13–7-0.0428%5 Jun
vertigo5–3-0.050%5 Jun
dust21–13-0.0533%5 Jun
overpass5–13-0.050%5 Jun
nuke10–13-0.0114%5 Jun
vertigo13–100.0630%26 May
mirage12–120.0212%26 May
inferno12–120.0126%26 May
nuke7–13-0.084%23 May
mirage6–130.0119%20 May
dust24–130.0326%20 May

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 →