_-Anjing-_

_-Anjing-_ — CS2 Stats

ID76561198165302884[U:1:205037156]Steam profile ↗✓ No bans

724Tracked matches54%Win rate2021Tracked since
CSDB Rating3.9 LearningClutch Specialist
FaceitLevel 7 · 1,397 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 724 tracked matches. 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. 33 days played since 22 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 1,397 +0 31 Aug16 Sept · 4 observations
1,3971,397peak 1,39731 Aug16 Sept
17,601Peak Premier in tracked matches
1,397Highest Faceit ELO seen on CSDB
33Days played since 2025-08-22

Faceit ELO

  • At peak — 1,397
  • Next: Level 8 at 1,531 134 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-31
  • Level 6 first seen 2026-08-31

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.

Share this profile

CSDB.GG_-Anjing-_FACEITLevel 7 · 1,397 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,397csdb.gg/stats

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Performance scores

Aim54
Positioning33
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY52399Last 10052%Win rateWWWTTLLLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.5pp headshot accuracy · +60ms 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

  • 302 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 674ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 679ms

Last 20

  • 983 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 649ms

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 (+1.4 against its own average).

Aim5.4
Utility2.8
Positioning3.3
Opening Duels1.7
Clutch4.4

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

jL

Plays most like jL 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 623ms 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

Aim5.4
Positioning3.3
Utility2.8
Mechanics6.0
Opening Duels1.2
Win Impact6.3

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time630ms−11ms
first ⅓ avg 641ms → last ⅓ avg 630ms
Headshot accuracy18.6%−1.6%
first ⅓ avg 20.2% → last ⅓ avg 18.6%

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 · 13–2 · mirage, 29 Dec
37%Best headshot accuracy · 12–12 · vertigo, 29 Nov
430msFastest reaction time · 13–6 · office, 3 Mar
13–0Biggest win · inferno, 11 Dec

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
128In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 78% over 9cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
ancientA138562%-0.03
overpassS129375%-0.00
officeS107370%-0.02
mirageS97278%0.03
cacheD71614%-0.03
infernoC73443%-0.01
nukeD72529%-0.06
palacioC52340%0.01
dust241325%0.00
anubis42250%-0.01
golden42250%-0.05
alpine32167%-0.03
vertigo31233%-0.03
warden31233%-0.02
train32167%0.04
italy21150%-0.03
poseidon1010%-0.13
stronghold1010%-0.06
agency1010%-0.04
grail110100%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

195Matches
53%Win rate
1.02Avg K/D
61.0ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1242%0.7612.7
Ancient1173%0.9112.4
Mirage1070%0.637.9
Inferno850%0.8111.3
Train3100%0.9516.0
Dust2250%0.7310.5
Vertigo250%0.7012.0
Overpass10%0.6712.0

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.

17.7%Headshot accuracy
30.1%Accuracy (enemy spotted)
35.2%Spray accuracy
77.0%Counter-strafing
10.1°Preaim
623msReaction time
25.0%T opening success
39.6%CT opening success
0.44Enemies flashed / flash
5.0%Flash assists
9.19HE damage / grenade
3.46Flashes / 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 0.4381 — below the 0.5 mark we flag

    Grenade Lineups
  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 25.0421% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0514%30 Jun
ancient13–9-0.1214%30 Jun
cache13–50.0315%30 Jun
cache12–12-0.0219%9 May
cache12–12-0.0723%9 May
cache9–13-0.0523%6 May
cache9–13-0.0315%6 May
cache10–13-0.059%6 May
cache6–13-0.0222%6 May
ancient13–5-0.0522%10 Apr
overpass13–11-0.0411%10 Apr
inferno11–13-0.0430%10 Apr
ancient14–16-0.0117%3 Mar
inferno13–5-0.0423%3 Mar
office13–6-0.0619%3 Mar
alpine13–6-0.0410%3 Mar
overpass9–70.0816%28 Feb
nuke2–9-0.2331%28 Feb
vertigo7–9-0.0626%28 Feb
dust215–15-0.0315%28 Feb
dust213–30.038%20 Feb
poseidon2–9-0.1325%20 Feb
anubis9–13-0.0110%17 Feb
mirage13–9-0.047%17 Feb
italy5–13-0.0516%15 Feb
vertigo13–11-0.0412%15 Feb
warden13–60.0128%15 Feb
alpine12–120.0016%4 Feb
warden9–13-0.0322%4 Feb
alpine13–5-0.0524%4 Feb
warden6–13-0.0419%3 Feb
stronghold2–13-0.0619%3 Feb
mirage13–50.0336%3 Feb
nuke6–13-0.0021%3 Feb
inferno12–12-0.0631%20 Jan
office13–7-0.0331%20 Jan
nuke13–4-0.0117%20 Jan
anubis13–80.0423%20 Jan
overpass13–8-0.0219%18 Jan
dust29–130.0719%18 Jan
office13–90.0313%9 Jan
nuke2–13-0.0316%9 Jan
office6–13-0.0421%29 Dec
overpass8–2-0.0510%29 Dec
mirage13–20.1329%29 Dec
inferno10–13-0.0020%13 Dec
mirage16–130.0212%13 Dec
italy13–6-0.0111%11 Dec
mirage13–60.0320%11 Dec
ancient13–110.0314%11 Dec
inferno13–00.0416%11 Dec
office13–9-0.0431%11 Dec
nuke10–13-0.058%6 Dec
ancient16–140.0217%6 Dec
overpass13–50.0114%6 Dec
ancient13–60.015%6 Dec
dust211–13-0.0612%4 Dec
ancient11–13-0.0317%4 Dec
overpass9–13-0.0111%3 Dec
train5–130.0829%3 Dec
vertigo12–120.0237%29 Nov
office8–13-0.0911%29 Nov
anubis6–1-0.0413%29 Nov
office13–11-0.0018%29 Nov
overpass11–13-0.0210%22 Nov
overpass13–1-0.0521%22 Nov
mirage13–50.0717%22 Nov
inferno13–110.0014%22 Nov
mirage1–13-0.0124%22 Nov
ancient2–13-0.0820%22 Nov
palacio13–10-0.0424%20 Nov
nuke6–13-0.0826%20 Nov
inferno12–12-0.0123%18 Nov
ancient5–13-0.0317%16 Nov
nuke13–11-0.0210%16 Nov
overpass16–13-0.0215%16 Nov
anubis12–12-0.0310%16 Oct
palacio6–13-0.0515%16 Oct
office13–90.0231%16 Oct
palacio12–12-0.0416%13 Oct
golden13–11-0.0324%13 Oct
golden11–13-0.0611%12 Oct
train13–50.0523%12 Oct
ancient13–11-0.0217%12 Oct
train13–10-0.0115%12 Oct
ancient10–13-0.0315%5 Oct
office9–13-0.0431%5 Oct
golden10–13-0.0513%5 Oct
palacio11–130.0515%5 Oct
overpass13–7-0.0224%5 Oct
agency7–13-0.0428%2 Oct
palacio13–50.1131%2 Oct
golden13–11-0.0516%2 Oct
overpass10–130.1217%23 Sept
mirage13–80.0228%23 Sept
office13–30.0130%25 Aug
grail13–6-0.0321%25 Aug
overpass16–13-0.0124%22 Aug
mirage9–13-0.0126%22 Aug
ancient13–10-0.0315%22 Aug

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 →