asdasda

asdasda — CS2 Stats

76561199032811857[U:1:1072546129]Steam profile ↗

3,339Tracked matches43%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
CSDB Leaderboard#26399 of 32125 tracked
FaceitLevel 10 · 3,131 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

3,131Peak Faceit ELO on CSDB
1Days observed since 2026-08-29

Faceit ELO

  • At peak — 3,131
  • Next: 3,500 ELO at 3,500 369 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-29
  • 2,500 ELO first seen 2026-08-29

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

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CSDB.GGasdasdaFACEITLevel 10 · 3,131 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,131csdb.gg/stats

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Performance scores

Aim84
Positioning66
Utility31

0–100 skill scores via Leetify.

Recent form

HOT4555Last 10045%Win rateWWWLWWLWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim8.4
Aggression9.7
Utility3.1
Positioning6.6
Opening Duels4.7
Clutch4.0

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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
Positioning6.6
Utility3.1
Mechanics7.5
Opening Duels4.7
Win Impact2.8

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time577ms+60ms
first ⅓ avg 517ms → last ⅓ avg 577ms
Headshot accuracy21.2%+0.2%
first ⅓ avg 21.0% → last ⅓ avg 21.2%

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

0.14Best rating — mirage 13–8
132Biggest win — anubis
5Longest win streak
W3Current streak
915In matches decided by ≤2 rounds
16Overtime games

Map breakdown

vertigoBest map · 50% over 6ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB40192148%0.01
anubisB21101148%0.00
ancientC145936%-0.00
dust2B115645%0.01
vertigoB63350%-0.02
nuke41325%-0.02
overpass32167%-0.00
inferno1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,755Matches
53%Win rate
1.21Avg K/D
82.6ADR
52%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
25Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage146553%1.2017.5
Dust256552%1.1717.4
Anubis52050%1.1316.7
Ancient37049%1.1316.8
Nuke17143%1.0516.7
Vertigo14953%1.1417.5
Overpass12954%1.1717.1
Inferno3650%1.1516.5

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.

21.8%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.5%Spray accuracy
83.7%Counter-strafing
9.8°Preaim
578msReaction time
40.8%T opening success
56.5%CT opening success
0.58Enemies flashed / flash
6.6%Flash assists
6.72HE damage / grenade
6.02Flashes / 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–100.0817%28 Aug
mirage13–30.0021%18 Aug
anubis16–13-0.0132%30 May
nuke5–9-0.059%19 May
dust219–17-0.0021%4 May
ancient13–11-0.0119%25 Jan
mirage11–130.0021%15 Dec
dust213–40.0729%11 Dec
dust216–12-0.0135%16 Sept
inferno9–13-0.0316%4 Sept
mirage16–14-0.0014%25 Aug
dust213–70.0729%17 Aug
mirage13–9-0.0038%17 Aug
mirage5–13-0.0318%15 Aug
mirage4–13-0.0231%7 Aug
ancient13–16-0.0119%27 Jul
dust210–130.0220%4 Jul
ancient10–13-0.0322%29 Jun
mirage10–13-0.0321%28 Jun
anubis5–13-0.0524%22 Jun
dust29–13-0.0422%19 Jun
mirage14–16-0.0012%9 Jun
ancient3–13-0.0615%6 Jun
ancient13–160.0316%3 Jun
mirage6–13-0.0238%3 Jun
anubis13–110.0219%24 May
mirage11–130.0117%3 May
mirage2–130.028%16 Mar
mirage10–13-0.0029%13 Mar
mirage13–100.0418%9 Mar
mirage13–8-0.0016%2 Mar
ancient13–10-0.0222%28 Feb
anubis13–20.0613%23 Feb
dust213–11-0.0030%9 Feb
dust211–13-0.0515%30 Jan
mirage13–100.0433%3 Jan
mirage13–40.0014%23 Dec
mirage20–22-0.0127%30 Nov
anubis13–5-0.0111%18 Nov
nuke8–13-0.0915%3 Nov
anubis16–120.0118%5 Oct
anubis8–13-0.0145%30 Sept
mirage13–80.1421%13 Sept
dust26–130.0128%5 Sept
dust211–13-0.0122%3 Sept
anubis14–16-0.0325%31 Aug
dust210–130.0437%15 Aug
anubis9–13-0.0414%14 Aug
nuke11–130.0123%1 Jun
anubis8–13-0.0223%26 May
nuke16–140.0322%5 May
anubis11–130.0114%4 May
vertigo13–100.0333%4 May
anubis6–130.0313%4 May
mirage13–90.0827%3 May
vertigo10–13-0.0318%29 Apr
vertigo15–19-0.0518%23 Apr
mirage9–13-0.0327%23 Apr
anubis16–120.0722%23 Apr
overpass13–110.0222%23 Apr
vertigo10–13-0.0414%22 Apr
mirage13–110.0318%21 Apr
mirage9–13-0.096%20 Apr
anubis11–130.0823%19 Apr
mirage13–100.0123%18 Apr
mirage9–13-0.0322%11 Apr
anubis13–7-0.0317%10 Apr
mirage20–22-0.0016%4 Apr
mirage11–13-0.0420%4 Apr
mirage5–13-0.0633%4 Apr
ancient3–13-0.1126%4 Apr
ancient4–130.0419%2 Apr
overpass13–6-0.0115%1 Apr
ancient16–140.0224%1 Apr
anubis13–50.0512%10 Mar
ancient13–100.0929%10 Mar
mirage13–20.0830%10 Mar
ancient10–13-0.0422%9 Mar
mirage13–90.0934%9 Mar
mirage5–130.0233%9 Mar
mirage13–8-0.0628%9 Mar
mirage13–100.0319%8 Mar
anubis13–90.0411%8 Mar
anubis11–130.0222%8 Mar
mirage13–100.0428%8 Mar
vertigo13–100.0326%6 Mar
mirage13–100.0123%6 Mar
anubis7–13-0.0812%4 Mar
anubis13–20.038%4 Mar
mirage13–30.0427%4 Mar
mirage8–130.0517%3 Mar
mirage9–13-0.0329%3 Mar
overpass3–13-0.0227%3 Mar
ancient11–13-0.0214%3 Mar
mirage10–13-0.0514%3 Mar
ancient13–80.0926%3 Mar
ancient6–13-0.0423%3 Mar
vertigo13–10-0.064%3 Mar
mirage14–16-0.0313%3 Mar
anubis8–13-0.0910%3 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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