AquaberryDolphin

AquaberryDolphin — CS2 Stats

76561198075526078[U:1:115260350]Steam profile ↗✓ No bans

938Tracked matches41%Win rate2025Tracked since
CSDB Rating3.2 Learning
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#12353 of 16803 tracked
FaceitLevel 2 · 448 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGAquaberryDolphinFACEITLevel 2 · 448 ELOSTANDINGTop 97.9% of rankedPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning29
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateWLLLWWWLWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim4.3
Aggression0.0
Utility4.0
Positioning2.9
Opening Duels0.0
Clutch0.4

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

NiKo

Plays most like NiKo 65% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 675ms 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

Aim4.3
Positioning2.9
Utility4.0
Mechanics5.7
Opening Duels0.0
Win Impact2.1

Composite 3.2/10 (Learning), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time672ms−84ms
first ⅓ avg 756ms → last ⅓ avg 672ms
Headshot accuracy12.6%−0.3%
first ⅓ avg 12.9% → last ⅓ avg 12.6%

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

0.09Best rating — anubis 13–10
130Biggest win — ancient
3Longest win streak
105In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 71% over 17dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D2161529%-0.01
mirageB189950%-0.01
ancientS1712571%-0.01
cacheC135838%-0.03
anubisC104640%-0.03
nukeC83538%-0.02
infernoC83538%-0.04
train43175%0.03
shelter1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

61Matches
39%Win rate
0.72Avg K/D
56.8ADR
37%Headshot %

Clutches & streaks

22%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1937%0.8111.7
Ancient1457%0.8010.3
Dust21242%0.659.3
Nuke633%0.719.8
Anubis520%0.549.0
Inferno520%0.579.0

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.

12.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.2%Spray accuracy
75.6%Counter-strafing
11.4°Preaim
675msReaction time
14.9%T opening success
20.8%CT opening success
0.49Enemies flashed / flash
7.4%Flash assists
5.15HE damage / grenade
6.56Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8943% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4887 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 14.9336% — 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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.089%25 Aug
cache11–13-0.049%23 Aug
anubis8–13-0.0314%23 Aug
dust25–13-0.0611%22 Aug
anubis13–100.098%22 Aug
dust213–50.049%22 Aug
ancient13–11-0.0211%22 Aug
mirage9–130.0112%22 Aug
mirage13–8-0.0312%20 Aug
ancient13–11-0.0612%20 Aug
mirage9–130.0120%20 Aug
dust213–70.0416%17 Aug
anubis13–8-0.0012%17 Aug
nuke8–13-0.0230%16 Aug
dust210–130.0215%16 Aug
inferno5–13-0.029%15 Aug
anubis13–5-0.008%15 Aug
mirage7–13-0.039%15 Aug
dust24–13-0.0015%15 Aug
dust27–130.0211%13 Aug
cache4–13-0.0412%12 Aug
mirage10–13-0.0616%9 Aug
dust27–13-0.0118%5 Aug
mirage16–14-0.0312%2 Aug
dust211–130.0119%2 Aug
nuke13–11-0.0514%1 Aug
anubis4–13-0.0414%1 Aug
ancient13–60.045%1 Aug
dust25–13-0.059%30 Jul
dust212–12-0.0413%26 Jul
cache10–13-0.0211%26 Jul
nuke13–16-0.0112%26 Jul
cache13–10-0.0011%25 Jul
mirage9–13-0.0417%25 Jul
cache13–8-0.0122%25 Jul
ancient13–9-0.009%25 Jul
mirage15–15-0.055%25 Jul
nuke2–13-0.0112%24 Jul
inferno14–16-0.0710%24 Jul
dust23–13-0.0915%24 Jul
mirage13–3-0.0018%23 Jul
ancient13–5-0.049%23 Jul
ancient13–10-0.0519%22 Jul
mirage6–13-0.035%22 Jul
ancient13–70.0110%21 Jul
inferno13–16-0.027%19 Jul
anubis6–13-0.076%18 Jul
dust213–9-0.0115%18 Jul
ancient9–13-0.028%18 Jul
ancient8–13-0.0825%18 Jul
mirage13–8-0.0212%18 Jul
anubis16–14-0.0314%18 Jul
ancient13–9-0.067%18 Jul
cache11–13-0.0224%17 Jul
mirage10–13-0.0418%17 Jul
ancient13–90.0115%17 Jul
anubis3–13-0.0617%16 Jul
anubis11–13-0.065%15 Jul
ancient8–130.015%12 Jul
shelter12–120.0311%11 Jul
dust213–8-0.055%11 Jul
mirage13–100.0113%9 Jul
cache9–13-0.0618%9 Jul
train13–11-0.0123%8 Jul
ancient13–80.036%8 Jul
dust213–3-0.0117%8 Jul
anubis12–12-0.100%7 Jul
nuke13–9-0.0215%6 Jul
ancient13–00.006%6 Jul
inferno13–8-0.0815%3 Jul
dust210–130.0417%3 Jul
mirage12–120.0219%3 Jul
train9–130.0312%3 Jul
cache13–40.0614%3 Jul
cache7–13-0.1222%2 Jul
mirage13–90.012%2 Jul
inferno9–70.0318%2 Jul
cache9–13-0.0110%1 Jul
train13–50.043%1 Jul
inferno16–13-0.029%29 Jun
inferno10–13-0.0317%28 Jun
nuke11–2-0.0111%28 Jun
cache9–13-0.0615%28 Jun
inferno3–13-0.0719%28 Jun
dust25–13-0.0513%28 Jun
nuke1–13-0.0213%28 Jun
train13–100.0416%28 Jun
cache5–3-0.0413%28 Jun
dust26–13-0.0218%28 Jun
mirage13–5-0.0116%28 Jun
ancient5–13-0.023%27 Jun
dust215–150.0314%27 Jun
cache13–11-0.0218%27 Jun
mirage13–90.0012%27 Jun
ancient5–13-0.038%26 Jun
dust213–160.0220%26 Jun
nuke6–13-0.0610%26 Jun
dust213–11-0.0513%24 Jun
ancient13–100.059%24 Jun
dust28–13-0.068%24 Jun

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 →