⑉乙๏ℝℝ๏⑉

⑉乙๏ℝℝ๏⑉ — CS2 Stats

ES76561198114635983[U:1:154370255]Steam profile ↗✓ No bans

271Tracked matches50%Win rate2025Tracked since
1,173Hours in CS
CSDB Rating4.5 DevelopingSupport
Premier CS Rating16,711Purple band · top ~21.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (10 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: 16,711 +55 3 Jun – 23 Oct · 26 days played
16,65618,255peak 18,2553 Jun23 Oct
18,630Peak Premier in tracked matches
46Days played since 2026-06-03

Premier CS Rating

  • 1,544 below peak (18,255)
  • -686 over 90 days
  • Next: Pink band at 20,000 — 3,289 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.5%43.8%44.8%6.3% short
Shot accuracy0.2%12.0%12.4%12.3% short
Kill/death ratio0.961.021.030.07 short
Match win rate50.3%44.7%45.2%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG⑉乙๏ℝℝ๏⑉FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,711 · Purple bandcsdb.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

Aim51
Positioning44
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWLWLWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.1pp headshot accuracy · −1ms 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 -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 638ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 645ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 645ms

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 (+1.4 against its own average).

Aim5.1
Utility4.7
Positioning4.4
Opening Duels0.3
Clutch3.8

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

iM

Plays most like iM 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 644ms 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

Aim5.1
Positioning4.4
Utility4.7
Mechanics5.9
Opening Duels0.3
Win Impact5.0

Composite 4.5/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time656ms−15ms
first ⅓ avg 671ms → last ⅓ avg 656ms
Headshot accuracy11.7%−4.3%
first ⅓ avg 16.0% → last ⅓ avg 11.7%

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 · 13–8 · dust2, 11 Jul →
31%Best headshot accuracy · 13–2 · ancient, 9 Jun →
484msFastest reaction time · 2–5 · anubis, 1 Aug →
13–1Biggest win · inferno, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 73% over 15anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA1710–759%-0.00
infernoB179–853%-0.02
dust2A169–756%-0.00
ancientS1511–473%0.00
anubisD92–722%-0.02
overpassC83–538%-0.04
cacheS75–271%0.00
nukeC52–340%-0.04
vertigoC52–340%-0.02
train—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,604Lifetime kills
0.96K/D
4,440Matches
50.3%Match win rate · Top 25% of Level 5 players
38.5%Headshot %
0.2%Shot accuracy
3,464MVPs
1,173Hours (in match)
739Bombs planted
295Bombs defused

Most-used weapons

Lifetime map wins

4,588dust2
3,924inferno
2,307vertigo
2,263nuke
1,494train
7office
5italy

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

Faceit stats

Combat

55Matches
55%Win rate
0.97Avg K/D
70.2ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1963%1.0114.4
Ancient956%0.9011.9
Dust2743%1.1012.9
Anubis650%0.9211.8
Inferno650%0.7710.7
Nuke450%0.9312.5
Cache367%1.3115.7
Overpass10%0.7613.0

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.

11.9%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.5%Spray accuracy
76.6%Counter-strafing
9.4°Preaim
644msReaction time
28.0%T opening success
32.2%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
8.54HE damage / grenade
4.00Flashes / 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. 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 11.9326% — below the 15% mark we flag

    Aim Training →
  2. 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 27.9794% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.089%23 Oct →
nuke7–13-0.0326%26 Sept →
cache13–90.0418%10 Sept →
mirage8–130.047%9 Sept →
vertigo13–8-0.0011%30 Aug →
cache5–13-0.0510%27 Aug →
dust213–50.0625%21 Aug →
train8–3-0.017%13 Aug →
inferno2–13-0.090%7 Aug →
anubis9–13-0.008%7 Aug →
anubis12–12-0.0319%7 Aug →
inferno13–10.0414%6 Aug →
anubis13–80.0216%6 Aug →
anubis15–150.0416%2 Aug →
mirage13–100.0312%2 Aug →
anubis2–5-0.0614%1 Aug →
inferno5–13-0.0314%1 Aug →
dust26–13-0.0417%1 Aug →
anubis0–3-0.070%31 Jul →
cache13–60.019%31 Jul →
ancient13–80.007%31 Jul →
inferno11–13-0.0813%30 Jul →
vertigo2–13-0.076%29 Jul →
vertigo4–13-0.077%29 Jul →
mirage13–8-0.0310%28 Jul →
nuke13–80.026%28 Jul →
dust210–13-0.0416%28 Jul →
ancient13–9-0.0211%28 Jul →
mirage3–13-0.0510%27 Jul →
ancient13–90.034%26 Jul →
dust216–130.0216%25 Jul →
dust213–20.0313%25 Jul →
inferno13–10-0.0517%23 Jul →
mirage16–130.0210%23 Jul →
inferno13–80.0118%17 Jul →
mirage10–13-0.0416%15 Jul →
mirage13–6-0.0211%15 Jul →
ancient13–8-0.0514%15 Jul →
cache8–13-0.0020%14 Jul →
inferno3–130.0119%14 Jul →
ancient13–1-0.006%13 Jul →
inferno13–50.0129%13 Jul →
dust211–13-0.0211%13 Jul →
dust213–80.1929%11 Jul →
dust211–13-0.0516%10 Jul →
mirage13–5-0.0112%10 Jul →
inferno13–2-0.017%10 Jul →
mirage5–00.0125%10 Jul →
dust212–12-0.0718%10 Jul →
mirage11–13-0.0125%30 Jun →
ancient13–8-0.0419%29 Jun →
ancient6–130.0119%29 Jun →
mirage2–13-0.026%29 Jun →
vertigo9–70.0913%28 Jun →
inferno9–30.0821%28 Jun →
dust213–8-0.115%25 Jun →
ancient13–60.0519%25 Jun →
mirage13–6-0.0315%25 Jun →
inferno13–3-0.0224%24 Jun →
mirage6–13-0.0211%24 Jun →
overpass8–13-0.019%24 Jun →
nuke2–9-0.2125%22 Jun →
dust212–12-0.0220%22 Jun →
inferno1–8-0.0618%21 Jun →
dust210–13-0.0417%21 Jun →
inferno1–6-0.050%20 Jun →
ancient13–90.0120%18 Jun →
overpass10–130.0121%18 Jun →
inferno2–9-0.074%17 Jun →
vertigo8–8-0.0414%16 Jun →
inferno9–2-0.086%16 Jun →
inferno9–4-0.0311%16 Jun →
nuke9–20.0520%16 Jun →
anubis10–13-0.0211%16 Jun →
ancient3–12-0.0230%15 Jun →
mirage4–130.0313%15 Jun →
dust213–10-0.059%15 Jun →
dust213–1-0.0114%15 Jun →
overpass1–10-0.1321%14 Jun →
overpass7–13-0.0014%13 Jun →
nuke11–13-0.0310%13 Jun →
ancient13–90.077%13 Jun →
overpass9–13-0.0917%12 Jun →
dust213–90.0326%10 Jun →
cache13–3-0.0325%10 Jun →
ancient16–12-0.0211%10 Jun →
ancient13–20.0931%9 Jun →
overpass13–11-0.0917%9 Jun →
inferno10–130.0222%9 Jun →
cache13–40.0423%9 Jun →
ancient8–13-0.0414%8 Jun →
dust213–50.0623%8 Jun →
cache13–10-0.0115%8 Jun →
mirage13–11-0.0017%8 Jun →
ancient10–13-0.017%8 Jun →
overpass13–11-0.0215%5 Jun →
mirage13–90.0514%3 Jun →
anubis4–130.0513%3 Jun →
overpass13–4-0.0219%3 Jun →
mirage13–6-0.0213%3 Jun →

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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