✪ meetriL ✪ -:-(^_^)

✪ meetriL ✪ -:-(^_^) — CS2 Stats

NO76561197960298437[U:1:32709]Steam profile ↗✓ No bans

2,739Tracked matches40%Win rate2020Tracked since
8,661Hours in CS12Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating16,622Purple band · top ~21.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 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: 16,622 -1,090 29 Aug – 24 Oct · 32 days played
16,28619,999peak 19,99929 Aug24 Oct
Faceit ELO: 952 +0 29 Aug – 1 Sept · 2 observations
952952peak 95229 Aug1 Sept
19,999Peak Premier in tracked matches
952Highest Faceit ELO seen on CSDB
32Days played since 2026-08-29

Premier CS Rating

  • 3,377 below peak (19,999)
  • -539 over 30 days · declining
  • Next: Pink band at 20,000 — 3,378 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate49.9%42.7%43.8%above
Shot accuracy18.2%11.2%12.0%above
Kill/death ratio0.990.991.020.03 short
Match win rate43.0%43.9%44.7%1.7% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ meetriL ✪ -:-(^_^)FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,622 · Purple bandPEAK ELO952csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWLWWLLLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.3pp headshot accuracy · −91ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 524ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 606ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.7
Utility4.6
Positioning5.6
Opening Duels3.9
Clutch1.0

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 92% 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. 638ms 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

Aim6.7
Positioning5.6
Utility4.6
Mechanics5.9
Opening Duels5.8
Win Impact1.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time633ms+21ms
first ⅓ avg 612ms → last ⅓ avg 633ms
Headshot accuracy21.7%−5.4%
first ⅓ avg 27.1% → last ⅓ avg 21.7%

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

0.09Best match rating · 13–7 · cache, 7 Oct →
50%Best headshot accuracy · 13–2 · dust2, 12 Sept →
367msFastest reaction time · 2–3 · nuke, 7 Sept →
13–0Biggest win · mirage, 31 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%-0.01
dust2C177–1041%-0.01
anubisC156–940%-0.03
cacheA159–660%0.00
ancientA117–464%-0.00
nukeD103–730%-0.01
infernoC83–538%-0.01
vertigo—22–0100%-0.02
overpass—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

209,237Lifetime kills
0.99K/D
9,432Matches
43.0%Match win rate
49.9%Headshot % · Top 25% of Level 4 players
18.2%Shot accuracy · Top 10% of Level 4 players
23,452MVPs
4,273Hours (in match)
7,959Bombs planted
1,662Bombs defused

Most-used weapons

AK-4752,156
AWP33,865
P2508,413
SSG 087,159
AUG7,152
SG 5536,604

Lifetime map wins

20,374dust2
15,370inferno
10,485nuke
6,121train
4,982vertigo
2,679cbble
327dust
263aztec

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

Faceit stats

Combat

344Matches
50%Win rate
1.04Avg K/D
70.9ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient757%0.9013.9
Inferno520%0.7613.6
Dust2475%0.8518.8
Overpass450%0.8015.3
Nuke4100%0.8013.0
Mirage30%0.6012.0
Anubis1100%0.8426.0
Train10%1.1622.0

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.

21.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.8%Spray accuracy
76.7%Counter-strafing
8.8°Preaim
638msReaction time
55.8%T opening success
50.7%CT opening success
0.59Enemies flashed / flash
3.8%Flash assists
9.39HE damage / grenade
6.86Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0610%25 Oct →
vertigo13–9-0.0330%25 Oct →
inferno6–130.0211%24 Oct →
anubis16–14-0.0514%24 Oct →
dust213–7-0.088%24 Oct →
anubis7–13-0.0311%24 Oct →
mirage4–13-0.1026%21 Oct →
dust29–13-0.0111%17 Oct →
ancient10–13-0.0220%17 Oct →
cache13–11-0.0227%17 Oct →
mirage6–13-0.0816%17 Oct →
dust213–7-0.0616%17 Oct →
anubis10–13-0.0611%17 Oct →
nuke10–13-0.0422%16 Oct →
mirage13–100.0236%16 Oct →
anubis9–130.0127%16 Oct →
mirage16–140.0112%16 Oct →
dust29–130.0128%11 Oct →
mirage13–6-0.0014%10 Oct →
inferno13–60.0422%10 Oct →
ancient8–13-0.0519%10 Oct →
cache11–130.0319%10 Oct →
nuke7–13-0.0435%9 Oct →
cache13–3-0.0718%9 Oct →
mirage4–13-0.0829%9 Oct →
cache7–13-0.0248%9 Oct →
ancient13–30.0822%8 Oct →
nuke11–13-0.0330%8 Oct →
mirage13–9-0.0422%8 Oct →
anubis14–16-0.0228%8 Oct →
cache13–70.0931%7 Oct →
overpass11–130.0217%3 Oct →
vertigo13–11-0.0025%3 Oct →
cache6–130.0615%3 Oct →
dust23–13-0.0517%3 Oct →
dust25–13-0.0320%3 Oct →
mirage13–10.0527%3 Oct →
nuke10–130.0032%2 Oct →
anubis13–20.0129%1 Oct →
mirage13–60.0320%1 Oct →
mirage13–11-0.0418%1 Oct →
inferno13–6-0.0236%1 Oct →
inferno6–13-0.0622%30 Sept →
dust210–130.0017%30 Sept →
mirage13–40.0728%30 Sept →
cache7–13-0.0239%29 Sept →
mirage13–2-0.0116%29 Sept →
dust25–130.0641%29 Sept →
cache11–13-0.0615%29 Sept →
ancient13–11-0.0226%28 Sept →
cache13–2-0.0533%28 Sept →
nuke13–70.0221%28 Sept →
ancient13–6-0.0114%28 Sept →
cache13–60.0735%28 Sept →
anubis11–13-0.0332%27 Sept →
dust213–40.0423%27 Sept →
dust213–20.0317%27 Sept →
mirage13–3-0.0023%27 Sept →
dust213–7-0.0217%27 Sept →
mirage13–5-0.0211%27 Sept →
ancient13–80.0427%26 Sept →
cache13–50.0323%26 Sept →
nuke16–12-0.0228%26 Sept →
mirage8–130.0424%26 Sept →
ancient5–130.0616%26 Sept →
inferno10–130.0221%25 Sept →
anubis13–7-0.0328%24 Sept →
dust213–10-0.0726%23 Sept →
anubis13–80.0427%23 Sept →
ancient4–13-0.0023%22 Sept →
anubis9–13-0.0528%22 Sept →
anubis13–5-0.0518%22 Sept →
anubis9–130.0214%16 Sept →
cache13–70.0533%15 Sept →
ancient16–14-0.0320%15 Sept →
dust22–13-0.0626%15 Sept →
dust28–13-0.0539%15 Sept →
nuke7–13-0.0321%12 Sept →
dust213–20.0150%12 Sept →
dust211–130.0628%11 Sept →
mirage15–150.0123%11 Sept →
anubis1–13-0.0522%10 Sept →
cache11–13-0.0327%10 Sept →
anubis2–13-0.0718%9 Sept →
inferno13–9-0.0228%8 Sept →
mirage0–3-0.0133%8 Sept →
nuke2–30.0422%7 Sept →
ancient13–9-0.0429%7 Sept →
anubis13–4-0.0519%7 Sept →
cache13–4-0.0341%7 Sept →
nuke16–130.0434%7 Sept →
mirage6–13-0.0833%7 Sept →
ancient13–10-0.0129%7 Sept →
inferno10–13-0.0311%7 Sept →
mirage2–13-0.0627%7 Sept →
dust210–130.0044%1 Sept →
nuke7–13-0.0630%1 Sept →
cache13–90.0225%1 Sept →
mirage13–50.0622%31 Aug →
mirage13–00.0123%31 Aug →

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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