ǤIDOF (ง'̀-'́)ง

ǤIDOF (ง'̀-'́)ง — CS2 Stats

DE76561198996097880[U:1:1035832152]Steam profile ↗✓ No bans

2,871Tracked matches60%Win rate2020Tracked since
4,993Hours in CS33Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating19,327Top 50% of 211,827 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#94822 of 258904 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (9 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: 19,327 +5,187 21 Sept – 21 Oct · 6 days played
14,14019,327peak 19,32721 Sept21 Oct
19,443Peak Premier in tracked matches
22Days played since 2026-09-21

Premier CS Rating

  • At peak — 19,327
  • +5,187 over 30 days · improving
  • Next: Pink band at 20,000 — 673 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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 rate44.7%43.8%44.8%meets
Shot accuracy18.3%12.0%12.4%above
Kill/death ratio1.161.021.03above
Match win rate40.6%44.7%45.2%4.6% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGǤIDOF (ง'̀-'́)งFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,327 · 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

Aim91
Positioning69
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–44–13Last 10043%Win rateLTLWWTLWWT

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −61ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 461ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 502ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

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 (+1.2 against its own average).

Aim9.1
Utility5.8
Positioning6.9
Opening Duels4.0
Clutch6.0

Sharp aimer

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 96% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.1
Positioning6.9
Utility5.8
Mechanics6.8
Opening Duels6.4
Win Impact8.3

Composite 7.5/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time540ms+7ms
first ⅓ avg 533ms → last ⅓ avg 540ms
Headshot accuracy18.4%+0.3%
first ⅓ avg 18.1% → last ⅓ avg 18.4%

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

0.13Best match rating · 13–7 · anubis, 4 Oct →
46%Best headshot accuracy · 13–2 · inferno, 19 Oct →
359msFastest reaction time · 13–2 · inferno, 19 Oct →
13–1Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 60% over 5cacheWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
dust2C3213–1941%0.01
cacheD206–1430%0.00
nukeA74–357%0.03
trainD62–433%0.03
infernoB63–350%0.00
mirageA53–260%-0.01
officeC52–340%0.05
vertigoC52–340%-0.02
anubis—43–175%0.04
ancient—41–325%0.00
boulder—21–150%0.01
debris—10–10%-0.07
italy—11–0100%0.08
overpass—11–0100%0.04
fachwerk—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

167,101Lifetime kills
1.16K/D · Top 25% of Level 5 players
6,675Matches
40.6%Match win rate
44.7%Headshot % · Top 50% of Level 5 players
18.3%Shot accuracy · Top 10% of Level 5 players
18,948MVPs
3,129Hours (in match)
8,220Bombs planted
1,245Bombs defused

Most-used weapons

AK-4752,941
AWP29,595
MAC-102,138
SSG 081,788
FAMAS1,473

Lifetime map wins

12,877dust2
11,961inferno
11,677nuke
1,235train
1,201vertigo
1,156office
265italy
69ar_shoots

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

Faceit stats

Combat

563Matches
51%Win rate
1.31Avg K/D
96.1ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.0216.8
Dust2475%1.5018.8
Inferno367%1.3523.3
Overpass333%1.2718.0
Nuke30%0.7915.0
Anubis250%0.8813.5
Ancient250%1.4624.0
Vertigo10%0.6621.0

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.

18.2%Headshot accuracy
41.4%Accuracy (enemy spotted)
47.4%Spray accuracy
80.6%Counter-strafing
7.6°Preaim
538msReaction time
61.8%T opening success
49.5%CT opening success
0.65Enemies flashed / flash
5.7%Flash assists
8.32HE damage / grenade
10.46Flashes / match

Recommended for you

Spend your practice time on Cache

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust23–7-0.0229%30 Oct →
dust212–120.0115%30 Oct →
cache5–13-0.0510%30 Oct →
dust213–90.0520%29 Oct →
mirage13–8-0.067%29 Oct →
dust212–12-0.0012%29 Oct →
train11–130.0428%29 Oct →
dust213–90.0222%29 Oct →
dust213–10-0.037%29 Oct →
dust212–120.0220%29 Oct →
dust212–120.0321%28 Oct →
train12–12-0.0217%28 Oct →
nuke5–130.0110%28 Oct →
office13–70.0915%28 Oct →
cache13–11-0.0312%28 Oct →
dust213–90.0521%28 Oct →
vertigo9–13-0.0116%27 Oct →
nuke13–110.0224%27 Oct →
cache3–13-0.0314%27 Oct →
dust213–50.0928%27 Oct →
office11–130.0628%27 Oct →
cache13–70.1016%24 Oct →
dust213–10.0330%24 Oct →
vertigo13–110.0110%23 Oct →
cache4–130.0919%23 Oct →
train13–80.0727%22 Oct →
nuke13–70.0522%22 Oct →
anubis5–130.019%22 Oct →
ancient5–13-0.0017%22 Oct →
mirage13–4-0.0132%22 Oct →
dust28–13-0.000%22 Oct →
office3–130.0225%22 Oct →
cache13–70.0326%22 Oct →
boulder1–13-0.034%22 Oct →
ancient11–130.0313%21 Oct →
dust213–80.0613%21 Oct →
cache13–80.0627%21 Oct →
inferno10–13-0.0515%21 Oct →
office12–120.0221%21 Oct →
ancient2–130.0115%21 Oct →
cache13–4-0.0519%20 Oct →
nuke13–50.028%20 Oct →
dust213–110.1316%20 Oct →
debris3–9-0.0716%20 Oct →
mirage6–13-0.0130%20 Oct →
inferno13–80.0418%19 Oct →
anubis13–3-0.0116%19 Oct →
dust212–12-0.0129%19 Oct →
dust213–60.0223%19 Oct →
inferno13–20.0546%19 Oct →
ancient13–9-0.0314%19 Oct →
italy13–30.0830%19 Oct →
overpass13–100.0425%19 Oct →
cache10–13-0.046%16 Oct →
anubis13–100.017%16 Oct →
cache12–12-0.047%16 Oct →
nuke13–7-0.0315%16 Oct →
fachwerk13–10-0.038%16 Oct →
mirage13–30.0424%16 Oct →
inferno13–70.0416%16 Oct →
train12–120.0521%15 Oct →
office13–60.0424%15 Oct →
cache9–13-0.0522%15 Oct →
cache8–130.0220%14 Oct →
vertigo7–13-0.0622%13 Oct →
dust213–16-0.0319%13 Oct →
inferno7–13-0.0813%13 Oct →
cache13–60.1013%7 Oct →
dust213–11-0.0018%7 Oct →
cache10–130.0312%4 Oct →
dust29–130.0117%4 Oct →
anubis13–70.1314%4 Oct →
inferno6–130.0326%4 Oct →
nuke6–130.0629%3 Oct →
cache5–13-0.0324%3 Oct →
boulder13–20.0410%3 Oct →
dust211–13-0.0316%3 Oct →
dust213–6-0.0114%3 Oct →
dust22–13-0.0715%3 Oct →
dust210–13-0.0526%3 Oct →
cache10–130.0616%3 Oct →
dust29–13-0.0213%3 Oct →
dust212–120.0710%3 Oct →
dust29–13-0.0421%2 Oct →
cache3–13-0.0310%2 Oct →
mirage12–12-0.0313%1 Oct →
dust211–130.0137%1 Oct →
cache12–12-0.0128%1 Oct →
nuke7–130.0623%1 Oct →
dust29–13-0.0314%29 Sept →
train13–50.0615%28 Sept →
vertigo10–130.0017%28 Sept →
vertigo4–5-0.0514%28 Sept →
dust211–130.0225%28 Sept →
cache6–13-0.0622%28 Sept →
dust213–40.0213%28 Sept →
dust210–130.0224%27 Sept →
dust213–90.0211%27 Sept →
train12–120.016%27 Sept →
cache3–13-0.0132%27 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.