ArCi

ArCi — CS2 Stats

RE76561198277634463[U:1:317368735]Steam profile ↗✓ No bans

594Tracked matches50%Win rate2025Tracked since
1,692Hours in CS
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9 · 1,915 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,915 → 1,915
+5Tracked matches · now 594
0.0ppWin rate · 50.0% → 50.0%
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. 71 days played since 30 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,111 -769 10 Oct3 Dec · 4 days played
13,73515,880peak 15,88010 Oct3 Dec
15,880Peak Premier in tracked matches
1,915Highest Faceit ELO seen on CSDB
71Days played since 2025-09-30

Faceit ELO

  • At peak — 1,915
  • Next: Level 10 at 2,001 86 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-05
  • Level 8 first seen 2026-09-05

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches880
Win rate38%75%−38pp
K/D0.881.14−0.26
Headshot %61%56%+6pp

Measured 9 Sep 202617 Sep 2026; previous 4 Sep 2026 → 9 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=12,569), 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 9 medianLevel 10 medianvs Level 10
Headshot rate55.9%48.3%51.0%above
Shot accuracy7.3%13.2%13.7%6.4% short
Kill/death ratio0.961.071.090.13 short
Match win rate43.5%46.9%48.4%4.9% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArCiFACEITLevel 9 · 1,915 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,915csdb.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

Aim71
Positioning49
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY48448Last 10048%Win rateLWTWWWWTLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · +20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 311 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 583ms

Last 10

  • 622 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 589ms

Last 20

  • 974 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 579ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.1
Utility5.1
Positioning4.9
Opening Duels2.2
Clutch3.0

Effective flashesLimited 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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim7.1
Positioning4.9
Utility5.1
Mechanics7.5
Opening Duels1.8
Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time608ms−77ms
first ⅓ avg 685ms → last ⅓ avg 608ms
Headshot accuracy24.7%+4.6%
first ⅓ avg 20.0% → last ⅓ avg 24.7%

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

0.23Best match rating · 9–6 · inferno, 27 Jun
57%Best headshot accuracy · 9–6 · inferno, 27 Jun
328msFastest reaction time · 2–9 · inferno, 28 Jul
13–2Biggest win · ancient, 14 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 73% over 11nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC38152339%0.01
dust2A1912763%-0.00
mirageS118373%0.03
ancientC104640%0.00
nukeD92722%-0.00
overpassA53260%0.04
cache43175%-0.03
vertigo21150%0.04
anubis2020%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

82,768Lifetime kills
0.96K/D
3,571Matches
43.5%Match win rate
55.9%Headshot % · Top 25% of Level 9 players
7.3%Shot accuracy
9,653MVPs
1,692Hours (in match)
3,483Bombs planted
737Bombs defused

Most-used weapons

Lifetime map wins

4,324dust2
4,010inferno
1,327nuke
343vertigo
243cbble
98train
16shorttrain
11stmarc

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

Faceit stats

Combat

595Matches
52%Win rate
1.12Avg K/D
82.4ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust219654%1.1317.4
Mirage15752%1.1216.9
Ancient10152%1.1317.0
Nuke4749%1.1818.3
Inferno3047%0.9815.0
Anubis2536%1.1015.5
Cache2050%1.0915.9
Overpass1669%1.0216.6

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.

20.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.8%Spray accuracy
83.8%Counter-strafing
9.7°Preaim
646msReaction time
29.4%T opening success
44.8%CT opening success
0.80Enemies flashed / flash
10.5%Flash assists
8.13HE damage / grenade
4.66Flashes / 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. 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 29.4064% — below the 40% mark we flag

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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno1–9-0.1740%9 Sept
inferno9–60.0232%23 Aug
inferno8–80.0333%23 Aug
mirage19–150.0717%20 Aug
dust228–260.0123%20 Aug
inferno9–00.2132%16 Aug
cache13–11-0.0429%13 Aug
inferno8–80.0622%12 Aug
inferno3–9-0.210%10 Aug
dust213–80.0426%10 Aug
inferno8–80.0724%8 Aug
dust213–16-0.0511%4 Aug
inferno8–80.0726%3 Aug
inferno9–30.0033%3 Aug
inferno3–9-0.1525%1 Aug
dust213–40.0515%29 Jul
inferno2–9-0.2350%28 Jul
inferno7–9-0.0227%28 Jul
nuke5–13-0.0125%28 Jul
inferno9–70.0823%26 Jul
inferno3–9-0.028%22 Jul
mirage13–9-0.0410%20 Jul
ancient10–13-0.0712%20 Jul
inferno9–70.0948%16 Jul
inferno2–9-0.2540%12 Jul
inferno9–30.147%8 Jul
inferno3–90.0335%28 Jun
inferno2–9-0.0512%28 Jun
inferno9–60.2357%27 Jun
dust24–13-0.0720%23 Jun
nuke9–70.0113%23 Jun
cache13–10-0.0727%22 Jun
inferno9–40.0513%18 Jun
inferno1–9-0.1211%16 Jun
cache7–13-0.0120%15 Jun
dust215–19-0.0513%11 Jun
inferno5–90.0124%10 Jun
inferno9–60.1223%10 Jun
inferno7–9-0.0431%5 Jun
nuke6–130.0117%5 Jun
ancient5–13-0.0217%2 Jun
mirage4–11-0.0139%31 May
overpass7–13-0.0324%29 May
inferno8–8-0.0022%29 May
dust213–4-0.0110%25 May
dust213–90.0426%25 May
mirage13–10-0.0016%24 May
cache13–80.0228%20 May
dust28–130.0222%15 May
ancient13–20.0610%14 May
nuke10–130.0313%14 May
mirage13–11-0.0230%11 May
inferno9–50.1024%11 May
ancient11–13-0.0114%9 May
dust213–8-0.0031%8 May
nuke9–5-0.1235%7 May
inferno9–60.0526%6 May
vertigo8–80.0423%6 May
dust28–13-0.0816%29 Jan
dust213–11-0.0319%25 Jan
anubis10–13-0.0328%25 Jan
inferno8–8-0.0125%11 Jan
inferno9–13-0.0518%11 Jan
inferno8–80.0021%6 Jan
ancient16–12-0.0722%2 Jan
vertigo9–60.0435%19 Dec
overpass9–70.0916%19 Dec
dust213–80.0212%14 Dec
dust213–80.0428%12 Dec
overpass13–60.0528%3 Dec
mirage16–13-0.0224%3 Dec
mirage2–13-0.067%2 Dec
ancient13–50.0413%1 Dec
overpass13–90.1118%1 Dec
inferno9–20.2010%26 Nov
inferno4–9-0.0211%26 Nov
inferno9–60.1116%25 Nov
mirage13–20.0925%25 Nov
inferno9–50.0436%24 Nov
ancient10–130.0421%24 Nov
overpass9–13-0.0425%20 Nov
ancient13–80.0614%18 Nov
inferno7–9-0.0623%16 Nov
inferno9–60.087%16 Nov
dust213–8-0.0333%13 Nov
inferno4–9-0.0422%12 Nov
dust22–13-0.0225%10 Nov
nuke8–130.0215%5 Nov
mirage11–130.0724%5 Nov
nuke11–130.0315%22 Oct
mirage13–80.1521%20 Oct
dust210–130.0421%10 Oct
dust213–20.0129%7 Oct
mirage13–80.1221%5 Oct
dust213–90.0014%5 Oct
nuke8–13-0.0021%5 Oct
nuke9–130.0327%3 Oct
ancient5–13-0.0412%1 Oct
ancient10–130.0319%1 Oct
anubis5–13-0.0225%30 Sept

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 →