AquaS

AquaS — CS2 Stats

FI76561198153922390[U:1:193656662]Steam profile ↗✓ No bans

1,285Tracked matches47%Win rate2020Tracked since
3,821Hours in CS53Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating11,701Blue band · top ~45.9% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 40 days played since 26 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,701 +1,188 29 Jun29 Aug · 11 days played
10,51312,852peak 12,85229 Jun29 Aug
12,861Peak Premier in tracked matches
40Days played since 2026-06-26

Premier CS Rating

  • 1,151 below peak (12,852)
  • +51 over 30 days · steady
  • Next: Purple band at 15,000 3,299 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=13,320), 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 rate51.7%48.3%51.0%meets
Shot accuracy17.1%13.2%13.7%above
Kill/death ratio1.121.071.09above
Match win rate46.6%46.9%48.4%1.8% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGAquaSFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER11,701 · Blue bandcsdb.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

Aim83
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWLWLWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · −27ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

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 (+1.5 against its own average).

Aim8.3
Utility4.8
Positioning4.6
Opening Duels1.5
Clutch2.4

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.

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Areas to improve

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

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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim8.3
Positioning4.6
Utility4.8
Mechanics5.8
Opening Duels1.8
Win Impact3.9

Composite 5.3/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time571ms−49ms
first ⅓ avg 620ms → last ⅓ avg 571ms
Headshot accuracy20.9%−2.9%
first ⅓ avg 23.9% → last ⅓ avg 20.9%

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

0.16Best match rating · 13–3 · ancient, 30 Jun
48%Best headshot accuracy · 13–7 · anubis, 29 Jun
398msFastest reaction time · 13–10 · inferno, 17 Sept
13–0Biggest win · cache, 16 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
57In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 70% over 10dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA41231856%0.01
ancientC1881044%0.01
dust2C114736%0.02
infernoB105550%-0.00
cacheS107370%0.01
nukeC73443%0.01
anubis31233%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,482Lifetime kills
1.12K/D · Top 50% of Level 9 players
4,947Matches
46.6%Match win rate
51.7%Headshot % · Top 50% of Level 9 players
17.1%Shot accuracy · Top 25% of Level 9 players
15,262MVPs
2,008Hours (in match)
4,693Bombs planted
1,195Bombs defused

Most-used weapons

AK-4741,650
AWP10,740
Knife2,081
MP91,928
FAMAS1,425

Lifetime map wins

3,971inferno
2,899dust2
2,204vertigo
1,225nuke
720train
465cbble
222office
158italy

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

Faceit stats

Combat

1,354Matches
51%Win rate
1.11Avg K/D
78.6ADR
50%Headshot %

Clutches & streaks

32%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage27252%1.1015.6
Ancient9348%0.9615.1
Inferno5855%1.1215.9
Vertigo5355%1.0814.8
Anubis4743%0.9916.1
Nuke4146%0.9214.9
Cache3063%1.1416.2
Dust22638%0.8513.1

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.

19.7%Headshot accuracy
39.9%Accuracy (enemy spotted)
41.9%Spray accuracy
76.0%Counter-strafing
8.6°Preaim
560msReaction time
25.7%T opening success
44.8%CT opening success
0.66Enemies flashed / flash
4.5%Flash assists
8.23HE damage / grenade
5.74Flashes / 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 25.7257% — below the 40% mark we flag

Spend your practice time on Dust 2

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 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0326%17 Sept
dust24–13-0.0816%17 Sept
cache13–20.1022%17 Sept
ancient7–13-0.0422%15 Sept
mirage13–110.0819%15 Sept
mirage6–13-0.0710%12 Sept
mirage13–100.0324%11 Sept
mirage13–6-0.0020%10 Sept
mirage9–13-0.0511%10 Sept
mirage5–130.0111%8 Sept
mirage13–80.0141%8 Sept
mirage6–13-0.0727%8 Sept
mirage9–13-0.0319%3 Sept
mirage13–5-0.0120%1 Sept
mirage13–6-0.0326%29 Aug
mirage13–10.0828%29 Aug
ancient9–130.0314%29 Aug
anubis8–130.0012%29 Aug
dust29–13-0.0117%29 Aug
dust214–16-0.0316%28 Aug
nuke3–130.0116%28 Aug
nuke10–13-0.0120%26 Aug
mirage13–60.0030%25 Aug
inferno13–90.0025%25 Aug
cache13–11-0.0113%24 Aug
mirage13–90.0019%22 Aug
ancient17–19-0.0113%22 Aug
mirage13–70.0622%21 Aug
mirage3–130.0332%18 Aug
mirage11–130.1018%18 Aug
ancient13–60.1231%18 Aug
mirage5–13-0.0129%18 Aug
inferno13–90.0424%15 Aug
mirage17–190.0121%8 Aug
nuke13–70.0115%8 Aug
cache13–5-0.0024%7 Aug
inferno8–13-0.0016%7 Aug
mirage13–11-0.0521%7 Aug
ancient9–130.0513%7 Aug
mirage13–6-0.0128%7 Aug
cache13–8-0.0220%7 Aug
ancient13–6-0.0213%7 Aug
inferno16–120.0017%7 Aug
mirage13–70.0929%4 Aug
nuke5–13-0.0218%3 Aug
mirage13–50.0436%2 Aug
ancient13–10.0727%2 Aug
cache5–13-0.0430%1 Aug
mirage7–13-0.0021%1 Aug
ancient13–60.0230%1 Aug
mirage5–13-0.0413%1 Aug
ancient7–13-0.067%31 Jul
nuke13–90.0625%29 Jul
cache11–13-0.0030%29 Jul
mirage13–9-0.045%29 Jul
cache13–9-0.0310%24 Jul
ancient7–13-0.0516%24 Jul
mirage13–50.0230%24 Jul
mirage11–130.0433%24 Jul
dust210–130.0328%24 Jul
mirage13–30.1528%24 Jul
inferno6–120.0335%24 Jul
dust213–40.0819%24 Jul
dust213–30.0123%22 Jul
dust213–70.0126%22 Jul
ancient6–13-0.0325%22 Jul
dust28–130.0219%22 Jul
mirage7–13-0.0223%21 Jul
ancient8–13-0.0128%21 Jul
dust29–130.0629%16 Jul
mirage13–20.0526%16 Jul
ancient11–20.0133%16 Jul
cache13–00.0423%16 Jul
anubis4–130.0016%16 Jul
mirage7–130.0728%15 Jul
mirage13–30.0527%15 Jul
dust213–40.0433%15 Jul
cache13–50.0822%12 Jul
nuke13–90.0417%12 Jul
dust211–130.0526%12 Jul
mirage8–13-0.0516%12 Jul
mirage8–13-0.0415%11 Jul
mirage16–120.0318%10 Jul
nuke5–130.0134%4 Jul
inferno8–13-0.0719%4 Jul
cache7–13-0.0423%3 Jul
inferno8–130.0221%2 Jul
ancient13–60.0137%1 Jul
mirage9–13-0.0216%1 Jul
ancient7–13-0.0723%1 Jul
mirage13–70.0533%1 Jul
inferno13–160.0027%1 Jul
ancient13–110.0428%30 Jun
inferno13–6-0.0220%30 Jun
ancient8–13-0.0211%30 Jun
mirage13–110.0111%30 Jun
ancient13–30.1622%30 Jun
anubis13–70.1148%29 Jun
mirage5–13-0.0513%29 Jun
mirage13–60.0224%26 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →