AquaLeo

AquaLeo — CS2 Stats

IN76561198168227723[U:1:207961995]Steam profile ↗✓ No bans

1,229Tracked matches60%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating21,545Top 50% of 180,525 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#55899 of 227080 tracked
FaceitLevel 6 · 1,656 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Aug 2026 (25 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. 45 days played since 17 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,545 +2,608 17 Sept24 Aug · 31 days played
17,47521,669peak 21,66917 Sept24 Aug
21,769Peak Premier in tracked matches
1,656Highest Faceit ELO seen on CSDB
45Days played since 2025-09-17

Faceit ELO

  • At peak — 1,656
  • Next: Level 9 at 1,751 95 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 124 below peak (21,669)
  • +985 over 30 days · improving
  • +1,919 over 90 days
  • Next: Red band at 25,000 3,455 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGAquaLeoFACEITLevel 6 · 1,656 ELOSTANDINGTop 54.0% of rankedPREMIER21,545 · Pink bandPEAK ELO1,656csdb.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

Aim72
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY63352Last 10063%Win rateLLWLLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.06 avg rating · −2.3pp headshot accuracy · +17ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • 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 (+1.5 against its own average).

Aim7.2
Utility6.1
Positioning5.0
Opening Duels3.2
Clutch4.0

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

Areas to improve

Reaction time. 619ms 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

Aim7.2
Positioning5.0
Utility6.1
Mechanics7.4
Opening Duels2.3
Win Impact8.3

Composite 6.4/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time602ms−34ms
first ⅓ avg 636ms → last ⅓ avg 602ms
Headshot accuracy22.3%−0.1%
first ⅓ avg 22.4% → last ⅓ avg 22.3%

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, 3 Jun
47%Best headshot accuracy · 13–10 · ancient, 17 Sept
391msFastest reaction time · 13–9 · inferno, 18 Aug
13–1Biggest win · mirage, 20 Dec

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 76% over 21dust2Weakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
dust2B24111346%-0.01
ancientS2116576%0.00
infernoS2013765%0.00
mirageS128467%0.00
nukeS118373%-0.00
cache43175%0.00
overpass42250%-0.02
anubis32167%-0.02
train1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

345Matches
52%Win rate
0.96Avg K/D
66.6ADR
54%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient9548%0.9313.7
Inferno6157%1.0313.2
Mirage5956%0.9414.0
Anubis5157%1.0013.4
Nuke4149%0.9514.9
Overpass1844%0.9112.9
Dust21145%0.9615.6
Cache633%0.8112.8

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.

23.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.5%Spray accuracy
83.2%Counter-strafing
10.6°Preaim
619msReaction time
35.4%T opening success
43.3%CT opening success
0.55Enemies flashed / flash
9.5%Flash assists
6.15HE damage / grenade
16.03Flashes / 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 35.4032% — 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.

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0528%24 Aug
ancient5–11-0.0317%21 Aug
dust213–11-0.0119%21 Aug
dust28–130.0120%20 Aug
dust20–13-0.030%20 Aug
dust213–90.0329%18 Aug
anubis13–80.0216%18 Aug
inferno13–90.0222%18 Aug
dust213–110.0635%10 Aug
inferno13–30.0612%29 Jul
dust24–13-0.0932%29 Jul
dust20–13-0.240%29 Jul
nuke13–6-0.0218%28 Jul
ancient6–13-0.0428%28 Jul
nuke13–9-0.0618%28 Jul
ancient13–60.0218%19 Jul
inferno16–12-0.0119%18 Jul
dust213–110.0218%18 Jul
anubis8–13-0.0445%16 Jul
cache13–4-0.0225%11 Jul
ancient11–13-0.0424%11 Jul
mirage13–60.0315%11 Jul
cache13–90.0424%11 Jul
dust213–16-0.0314%11 Jul
cache10–13-0.0230%9 Jul
dust213–60.0624%9 Jul
ancient13–6-0.0332%3 Jul
dust22–130.0131%3 Jul
ancient13–70.0619%5 Jun
anubis13–9-0.0530%5 Jun
dust213–50.0221%3 Jun
mirage14–16-0.0625%3 Jun
ancient13–70.0428%3 Jun
inferno13–40.1515%3 Jun
nuke9–13-0.0221%15 May
dust210–130.0224%9 May
ancient13–60.0013%9 May
ancient13–4-0.0137%1 May
ancient13–11-0.0025%1 May
dust24–130.0123%1 May
cache13–70.0121%1 May
inferno13–30.0516%24 Apr
inferno0–13-0.0518%18 Apr
nuke13–60.0426%18 Apr
ancient13–80.0819%26 Dec
dust213–90.0733%26 Dec
dust213–10-0.0233%25 Dec
inferno13–70.0032%25 Dec
dust213–5-0.0315%25 Dec
nuke16–13-0.087%25 Dec
ancient13–30.0418%25 Dec
mirage13–80.0023%24 Dec
ancient13–7-0.0215%24 Dec
dust212–12-0.0235%24 Dec
nuke13–70.0227%24 Dec
dust213–9-0.0011%24 Dec
inferno13–8-0.0415%24 Dec
mirage6–13-0.0624%24 Dec
inferno11–13-0.0227%20 Dec
ancient13–6-0.029%20 Dec
mirage13–10.0446%20 Dec
inferno13–100.0221%20 Dec
inferno8–13-0.0311%18 Dec
ancient13–80.0019%18 Dec
mirage13–10.0540%18 Dec
inferno11–13-0.058%18 Dec
mirage13–20.0611%15 Dec
ancient13–90.0213%15 Dec
dust211–130.0120%14 Nov
ancient13–100.0120%13 Nov
inferno13–20.0020%11 Nov
overpass13–11-0.0023%5 Nov
mirage13–80.0518%3 Nov
ancient13–5-0.0226%3 Nov
dust27–13-0.0217%31 Oct
mirage16–14-0.0117%29 Oct
mirage4–13-0.0415%23 Oct
nuke8–13-0.0222%23 Oct
inferno13–50.0829%23 Oct
nuke13–100.0335%15 Oct
inferno16–13-0.0223%15 Oct
nuke13–70.0316%14 Oct
mirage13–10-0.0117%12 Oct
inferno13–100.0224%11 Oct
overpass8–13-0.0123%10 Oct
inferno7–13-0.0215%26 Sept
overpass13–80.0014%26 Sept
dust29–13-0.0319%26 Sept
dust213–110.0423%23 Sept
ancient11–130.0229%23 Sept
nuke3–100.1228%22 Sept
dust215–150.0229%21 Sept
ancient8–130.0137%21 Sept
mirage10–13-0.0133%21 Sept
inferno13–30.0515%21 Sept
train8–13-0.0320%19 Sept
inferno2–9-0.1611%19 Sept
nuke13–11-0.0530%19 Sept
ancient13–10-0.0447%17 Sept
overpass5–13-0.0713%17 Sept

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →