Ármándóó 2.0

Ármándóó 2.0 — CS2 Stats

76561199468606874[U:1:1508341146]Steam profile ↗✓ No bans

786Tracked matches38%Win rate2023Tracked since
CSDB Rating5.6 SolidAggressive Rifler
FaceitLevel 4 · 988 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGÁrmándóó 2.0FACEITLevel 4 · 988 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateLWLWLWLTLL

Last 10 vs previous 10: -10pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression7.2
Utility6.3
Positioning4.8
Opening Duels3.0
Clutch0.0

Sharp aimerExcellent counter-strafingEffective 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.

Your pro match

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning 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 86 — the mechanical foundation is a clear strength.

Flashes. 0.93 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Reaction time. 568ms 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

Aim8.6
Positioning4.8
Utility6.3
Mechanics8.6
Opening Duels3.0
Win Impact1.2

Composite 5.6/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time569ms+17ms
first ⅓ avg 552ms → last ⅓ avg 569ms
Headshot accuracy17.6%−2.5%
first ⅓ avg 20.2% → last ⅓ avg 17.6%

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.

Highlights

0.22Best rating — office 13–11
132Biggest win — dust2
5Longest win streak
75In matches decided by ≤2 rounds
7Overtime games

Map breakdown

officeBest map · 78% over 9ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%-0.00
infernoC1771041%-0.01
mirageC1661038%0.01
cacheA106460%-0.02
officeS97278%0.04
ancientD81713%0.03
anubisC52340%0.01
nuke43175%-0.02
vertigo21150%0.00
overpass220100%0.05
shelter1010%0.03
fachwerk1010%0.08
boulder1010%-0.03
train1010%0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
46%Win rate
0.64Avg K/D
67.2ADR
38%Headshot %

Clutches & streaks

17%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage560%0.6712.0
Inferno367%0.6611.7
Dust2250%0.7212.0
Train10%0.295.0
Ancient10%0.466.0

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
35.4%Accuracy (enemy spotted)
35.3%Spray accuracy
88.8%Counter-strafing
5.6°Preaim
568msReaction time
34.8%T opening success
49.6%CT opening success
0.93Enemies flashed / flash
15.0%Flash assists
15.30HE damage / grenade
2.43Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4252 — below the 4 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 34.7969% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0613%27 Aug
office13–110.2221%24 Aug
inferno7–13-0.0120%23 Aug
office13–70.1018%22 Aug
dust211–130.1019%22 Aug
office13–90.0338%18 Aug
shelter7–130.0313%18 Aug
fachwerk12–120.0821%18 Aug
boulder5–13-0.0310%17 Aug
train11–130.1214%17 Aug
mirage8–130.0814%16 Aug
office12–120.027%29 Jul
vertigo13–7-0.0113%29 Jul
cache13–30.0240%29 Jul
inferno4–13-0.059%29 Jul
inferno7–13-0.0317%29 Jul
dust28–13-0.0915%28 Jul
anubis13–7-0.0019%28 Jul
inferno13–4-0.0012%28 Jul
mirage7–130.0625%28 Jul
mirage13–70.0035%27 Jul
dust213–50.1022%27 Jul
dust22–13-0.0618%27 Jul
inferno8–13-0.0224%27 Jul
cache11–130.0016%12 Jul
mirage15–150.0113%12 Jul
inferno15–15-0.0616%12 Jul
mirage3–130.0014%12 Jul
vertigo4–130.0214%10 Jul
office13–8-0.036%10 Jul
cache12–16-0.0612%10 Jul
dust25–13-0.029%10 Jul
anubis7–130.0327%10 Jul
cache13–40.0215%6 Jul
mirage13–10-0.0511%6 Jul
dust25–130.0618%5 Jul
nuke13–9-0.0729%5 Jul
cache13–70.0627%5 Jul
dust22–130.0042%5 Jul
inferno4–13-0.0512%5 Jul
inferno6–13-0.0112%4 Jul
ancient5–130.0624%4 Jul
dust216–120.0619%28 Jun
ancient9–130.0516%28 Jun
anubis13–90.0717%28 Jun
dust29–130.0332%27 Jun
mirage7–13-0.0312%27 Jun
dust213–11-0.0226%27 Jun
ancient2–13-0.0110%27 Jun
mirage10–130.0319%27 Jun
inferno3–13-0.1024%27 Jun
ancient5–130.1330%26 May
office13–100.0928%26 May
inferno2–13-0.0343%26 May
cache13–7-0.0334%26 May
dust213–80.0817%17 May
office13–60.0323%17 May
cache13–8-0.0717%17 May
mirage8–13-0.0321%17 May
cache6–13-0.0427%17 May
inferno13–11-0.0828%17 May
mirage11–13-0.0510%17 May
inferno13–80.0531%17 May
cache13–8-0.0113%17 May
ancient6–13-0.0038%15 Mar
mirage13–40.1914%12 Mar
dust213–9-0.1113%12 Mar
inferno7–130.0245%11 Mar
overpass16–130.0321%11 Mar
dust21–130.0338%11 Mar
inferno13–110.0741%9 Mar
inferno13–40.0826%9 Mar
mirage13–110.0530%9 Mar
dust213–2-0.0113%8 Mar
nuke6–13-0.0119%8 Mar
overpass13–110.0616%7 Mar
ancient10–130.0339%7 Mar
ancient13–80.0213%7 Mar
mirage10–130.0233%7 Mar
inferno16–130.0729%7 Mar
dust213–6-0.0019%7 Mar
dust213–40.0213%7 Mar
nuke13–8-0.0412%7 Mar
dust213–6-0.0919%4 Mar
dust25–13-0.0019%4 Mar
anubis10–13-0.0711%4 Mar
dust22–13-0.0917%4 Mar
mirage13–9-0.0621%4 Mar
dust213–30.0112%2 Mar
anubis10–130.0513%1 Mar
dust23–13-0.068%1 Mar
nuke13–50.0316%1 Mar
office13–8-0.0230%1 Mar
ancient1–13-0.0625%4 Jan
dust29–13-0.0011%4 Jan
office4–13-0.0718%3 Jan
dust213–11-0.048%3 Jan
inferno16–13-0.019%3 Jan
mirage13–5-0.059%3 Jan
mirage3–13-0.0314%3 Jan

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 →