are

are — CS2 Stats

FI76561198306809667[U:1:346543939]Steam profile ↗✓ No bans

1,207Tracked matches67%Win rate2020Tracked since
CSDB Rating7.4 StrongOpening Duellist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,207 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,155 +3,446 28 May – 22 Dec · 5 days played
20,70924,670peak 24,67028 May22 Dec
Faceit ELO: 2,618 +0 31 Aug – 25 Sept · 3 observations
2,6182,618peak 2,61831 Aug25 Sept
24,670Peak Premier in tracked matches
2,618Highest Faceit ELO seen on CSDB
49Days played since 2025-04-24

Faceit ELO

  • At peak — 2,618
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 382 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-31
  • Level 10 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.GGare30 DAYS0 ELOPEAK ELO2,618csdb.gg/stats

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Performance scores

Aim84
Positioning67
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLWLLWWWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −6.6pp headshot accuracy · −34ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 567ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 612ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.4
Utility4.6
Positioning6.7
Opening Duels7.5
Clutch3.2

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

Reaction time. 618ms 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

Aim8.4
Positioning6.7
Utility4.6
Mechanics7.1
Opening Duels6.3
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time620ms+24ms
first ⅓ avg 597ms → last ⅓ avg 620ms
Headshot accuracy24.8%+1.9%
first ⅓ avg 22.9% → last ⅓ avg 24.8%

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

0.15Best match rating · 13–4 · inferno, 31 Jan →
50%Best headshot accuracy · 10–13 · nuke, 14 Oct →
391msFastest reaction time · 13–7 · inferno, 28 Apr →
13–1Biggest win · mirage, 8 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
15–12In matches decided by ≤2 rounds
18Overtime games

Map breakdown

infernoBest map · 83% over 18ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3215–1747%0.01
nukeA2213–959%0.01
infernoS1815–383%0.03
trainA106–460%0.03
dust2C94–544%-0.01
ancientD51–420%-0.00
overpass—43–175%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,029Matches
51%Win rate
1.07Avg K/D
79.9ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage27156%1.2717.1
Inferno13857%1.1316.7
Nuke9149%1.0817.1
Dust28046%1.0616.6
Train4260%1.3118.1
Ancient2928%0.9115.4
Overpass1839%1.1717.8
Anubis1656%0.9815.4

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.

25.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.2%Spray accuracy
82.0%Counter-strafing
9.9°Preaim
618msReaction time
48.7%T opening success
61.7%CT opening success
0.60Enemies flashed / flash
3.8%Flash assists
6.96HE damage / grenade
7.12Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0422%15 Aug →
nuke13–160.0527%15 Aug →
nuke13–60.0219%14 Aug →
ancient11–13-0.0126%14 Aug →
mirage10–13-0.0125%1 Apr →
nuke13–10-0.0019%25 Mar →
inferno13–50.0324%13 Mar →
nuke16–140.0217%6 Mar →
nuke11–130.0427%21 Feb →
inferno13–11-0.0125%21 Feb →
mirage13–50.1226%21 Feb →
nuke13–11-0.0016%20 Feb →
inferno13–100.0923%20 Feb →
mirage13–90.0633%20 Feb →
mirage16–140.0134%20 Feb →
inferno13–40.1545%31 Jan →
nuke9–13-0.0541%31 Jan →
nuke13–40.1024%31 Jan →
mirage9–13-0.0622%22 Dec →
mirage13–70.0830%21 Dec →
train13–90.0121%21 Dec →
mirage1–13-0.0717%14 Dec →
nuke19–170.0231%13 Dec →
inferno13–60.0731%12 Dec →
mirage13–100.0727%12 Dec →
nuke13–110.0319%11 Dec →
mirage7–13-0.039%11 Dec →
overpass7–13-0.0421%10 Dec →
overpass16–140.0423%10 Dec →
train13–10-0.0121%9 Dec →
inferno13–110.0420%9 Dec →
train12–160.0634%8 Dec →
mirage7–13-0.0118%8 Dec →
mirage13–110.0242%8 Dec →
mirage13–1-0.0333%8 Dec →
ancient11–13-0.0420%5 Dec →
inferno11–13-0.0530%5 Dec →
nuke6–13-0.0135%2 Dec →
mirage16–130.0721%1 Dec →
mirage13–70.034%30 Nov →
mirage13–100.0125%30 Nov →
mirage17–190.0320%29 Nov →
train11–130.0725%27 Nov →
inferno16–130.0213%21 Nov →
nuke5–130.0225%17 Nov →
inferno7–00.1321%11 Nov →
train16–140.0429%6 Nov →
nuke13–10-0.0123%6 Nov →
inferno13–20.0126%6 Nov →
mirage7–130.0424%2 Nov →
mirage15–15-0.0122%28 Oct →
train13–20.1137%28 Oct →
inferno13–80.0630%28 Oct →
train16–120.0623%28 Oct →
inferno13–10-0.0211%27 Oct →
mirage13–9-0.0022%15 Oct →
ancient13–80.0627%15 Oct →
nuke10–130.0650%14 Oct →
train3–13-0.057%14 Oct →
nuke13–11-0.0124%13 Oct →
overpass13–90.0628%13 Oct →
overpass13–90.0119%11 Oct →
mirage4–13-0.0221%11 Oct →
ancient14–160.0121%10 Oct →
train11–130.0035%10 Oct →
mirage8–13-0.0415%10 Oct →
mirage13–70.0431%10 Oct →
dust215–15-0.0112%9 Oct →
nuke13–110.0527%9 Oct →
mirage11–13-0.0323%8 Oct →
nuke7–13-0.0312%8 Oct →
inferno13–6-0.0214%3 Sept →
mirage13–70.0130%24 Aug →
nuke16–14-0.0222%23 Aug →
train13–100.0434%28 May →
dust210–13-0.0324%3 May →
ancient8–13-0.0323%3 May →
inferno11–13-0.0024%3 May →
dust25–13-0.0410%3 May →
dust25–13-0.0530%3 May →
mirage6–13-0.0328%1 May →
dust210–13-0.0319%1 May →
mirage5–130.0129%1 May →
dust219–17-0.0212%1 May →
nuke13–90.0433%29 Apr →
nuke11–130.0426%28 Apr →
mirage9–130.0530%28 Apr →
mirage7–13-0.0118%28 Apr →
inferno13–7-0.0120%28 Apr →
nuke13–4-0.0316%26 Apr →
inferno13–8-0.0413%26 Apr →
mirage4–13-0.0341%26 Apr →
mirage13–20.0438%25 Apr →
inferno16–140.0830%25 Apr →
dust213–40.0318%25 Apr →
dust213–70.0420%24 Apr →
nuke10–13-0.0421%24 Apr →
mirage13–9-0.0416%24 Apr →
dust219–15-0.0116%24 Apr →
mirage11–130.0529%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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