ArchYY

ArchYY — CS2 Stats

KP76561199790927890[U:1:1830662162]Steam profile ↗✓ No bans

764Tracked matches59%Win rate2024Tracked since
1,067Hours in CS3Hrs last 2 wks
CSDB Rating4.6 DevelopingHybrid Rifler
CSDB Leaderboard#44545 of 44761 tracked
FaceitLevel 3 · 849 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

849Peak Faceit ELO on CSDB
1Days observed since 2026-08-30

Faceit ELO

  • At peak — 849
  • Next: Level 4 at 901 52 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate46.8%42.2%42.7%above
Shot accuracy0.0%11.9%10.8%10.8% short
Kill/death ratio0.790.981.000.21 short
Match win rate45.3%43.6%44.1%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArchYYFACEITLevel 3 · 849 ELOSTANDINGTop 90.6% of rankedPEAK ELO849csdb.gg/stats

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Performance scores

Aim63
Positioning37
Utility33

0–100 skill scores via Leetify.

Recent form

HOT48475Last 10048%Win rateLWWWLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.08 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression4.9
Utility3.3
Positioning3.7
Opening Duels0.2
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 649ms 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

Aim6.3
Positioning3.7
Utility3.3
Mechanics7.3
Opening Duels0.6
Win Impact7.9

Composite 4.6/10 (Developing), 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-0.06−0.05
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time650ms−51ms
first ⅓ avg 702ms → last ⅓ avg 650ms
Headshot accuracy14.0%+0.3%
first ⅓ avg 13.8% → last ⅓ avg 14.0%

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.

Highlights

0.18Best rating — inferno 9–6
132Biggest win — cache
5Longest win streak
68In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB43212249%-0.05
cacheA1811761%-0.04
dust2A74357%0.00
anubisC73443%0.01
vertigoS54180%-0.03
ancient42250%-0.02
nuke41325%-0.08
office3030%-0.01
poseidon31233%-0.01
mirage21150%0.02
fachwerk1010%-0.09
eldorado1010%-0.16
debris1010%-0.14
overpass1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,757Lifetime kills
0.79K/D
1,387Matches
45.3%Match win rate · Top 50% of Level 3 players
46.8%Headshot % · Top 50% of Level 3 players
0.0%Shot accuracy
2,291MVPs
755Hours (in match)
944Bombs planted
314Bombs defused

Most-used weapons

Lifetime map wins

2,965inferno
2,131dust2
1,045vertigo
950nuke
497train
128office
14cbble
13italy

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

Faceit stats

Combat

294Matches
50%Win rate
0.85Avg K/D
64.7ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6447%1.0013.6
Dust25843%0.7211.3
Inferno5558%0.9211.8
Ancient4648%0.7913.5
Nuke2343%0.7512.3
Anubis2157%0.7411.1
Overpass1040%0.9515.9
Cache944%0.6812.0

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.

14.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
39.9%Spray accuracy
82.8%Counter-strafing
11.7°Preaim
649msReaction time
26.6%T opening success
34.8%CT opening success
0.49Enemies flashed / flash
3.6%Flash assists
2.26HE damage / grenade
7.59Flashes / 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 13.9996% — below the 15% mark we flag

    Aim Training
  2. 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 0.4902 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 26.5841% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0913%25 Aug
inferno9–7-0.0715%25 Aug
cache13–10-0.0420%25 Aug
inferno13–4-0.0112%25 Aug
inferno5–9-0.1017%28 Jul
dust213–8-0.0215%27 Jul
inferno9–40.116%27 Jul
anubis13–9-0.0110%23 Jul
anubis13–30.0110%23 Jul
ancient7–20.023%23 Jul
inferno0–9-0.1450%23 Jul
inferno4–9-0.144%23 Jul
inferno5–9-0.195%23 Jul
inferno1–9-0.1820%20 Jul
inferno3–9-0.235%18 Jul
dust213–10-0.0319%18 Jul
inferno9–10.096%18 Jul
inferno1–9-0.096%18 Jul
fachwerk11–13-0.098%16 Jul
ancient13–10-0.0315%16 Jul
inferno5–130.0112%16 Jul
inferno3–9-0.1318%14 Jul
inferno2–9-0.1119%14 Jul
inferno8–8-0.0411%14 Jul
inferno8–80.0915%14 Jul
eldorado7–9-0.166%10 Jul
debris7–9-0.1425%10 Jul
office11–13-0.0620%10 Jul
office10–130.0113%10 Jul
office2–130.0114%10 Jul
cache3–13-0.1110%7 Jul
inferno6–9-0.1818%7 Jul
cache10–13-0.0324%7 Jul
inferno9–5-0.0214%5 Jul
inferno0–9-0.300%5 Jul
cache5–13-0.083%5 Jul
inferno9–50.024%4 Jul
inferno9–6-0.0115%4 Jul
nuke6–9-0.127%4 Jul
inferno3–9-0.1517%4 Jul
inferno9–20.0613%29 Jun
cache13–7-0.0314%29 Jun
dust212–120.0012%27 Jun
dust213–70.0216%27 Jun
inferno9–30.0921%21 Jun
overpass3–13-0.0517%21 Jun
inferno7–90.006%21 Jun
inferno9–7-0.088%21 Jun
anubis13–50.0611%16 Jun
inferno2–9-0.197%14 Jun
cache13–6-0.049%13 Jun
inferno4–9-0.228%13 Jun
inferno9–6-0.058%13 Jun
inferno9–60.0510%12 Jun
inferno6–9-0.1117%11 Jun
poseidon7–9-0.065%11 Jun
inferno9–6-0.1110%11 Jun
inferno9–7-0.0310%11 Jun
inferno9–20.1821%9 Jun
poseidon6–9-0.1417%9 Jun
cache13–9-0.087%8 Jun
poseidon9–40.1621%8 Jun
inferno9–40.0810%8 Jun
nuke16–140.0026%6 Jun
nuke7–13-0.120%6 Jun
ancient3–13-0.1024%6 Jun
vertigo13–3-0.0410%5 Jun
inferno13–3-0.0026%5 Jun
vertigo13–11-0.068%5 Jun
vertigo8–13-0.069%4 Jun
vertigo13–110.047%4 Jun
anubis7–13-0.077%1 Jun
dust213–60.0510%30 May
ancient12–120.0215%30 May
vertigo13–5-0.0410%30 May
cache13–10-0.0217%30 May
inferno9–60.1822%30 May
anubis7–130.0118%29 May
anubis8–130.0916%29 May
anubis6–13-0.0117%29 May
cache13–70.026%23 May
mirage4–130.0124%23 May
dust211–130.0214%23 May
inferno9–13-0.0815%23 May
inferno9–4-0.028%23 May
inferno9–2-0.0522%23 May
nuke4–13-0.0913%15 May
inferno8–8-0.0811%13 May
inferno9–3-0.1027%13 May
cache13–20.0418%9 May
cache13–20.0614%9 May
cache13–3-0.048%6 May
cache13–3-0.059%6 May
cache1–13-0.1215%4 May
cache19–22-0.0614%29 Apr
cache3–13-0.0718%29 Apr
cache13–3-0.0310%27 Apr
inferno7–9-0.076%27 Apr
dust210–13-0.025%24 Apr
mirage16–120.0416%18 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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