Water Addict

Water Addict — CS2 Stats

US76561198809356975[U:1:849091247]Steam profile ↗

111Tracked matches46%Win rate2020Tracked since
775Hours in CS
CSDB Rating5.5 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim70
Positioning55
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateLWWWLWLWLL

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

Player DNA

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

Aim7.0
Aggression7.6
Utility4.8
Positioning5.5
Opening Duels3.2

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 90% playstyle similarity

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

Where you differ: 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. 611ms 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

Aim7.0
Positioning5.5
Utility4.8
Mechanics6.0
Opening Duels3.2
Win Impact3.8

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time607ms+31ms
first ⅓ avg 576ms → last ⅓ avg 607ms
Headshot accuracy27.0%+10.4%
first ⅓ avg 16.7% → last ⅓ avg 27.0%

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

0.10Best rating — inferno 13–8
161Biggest win — office
4Longest win streak
53In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 64% over 14mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeB42192345%0.01
infernoA149564%0.00
trainA95456%0.01
mirageD72529%0.00
dust2B63350%-0.06
ancientC52340%0.01
anubis43175%-0.03
overpass32167%-0.02
vertigo31233%-0.03
nuke32167%-0.01
warden1010%-0.05
cache1010%-0.06
italy1010%-0.07
agency1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,929Lifetime kills
1.33K/D · Top 10% of tracked players
7,531Matches
81.4%Match win rate · Top 1% of tracked players
48.6%Headshot % · Top 50% of tracked players
20.5%Shot accuracy · Top 5% of tracked players
9,813MVPs
775Hours (in match)
697Bombs planted
271Bombs defused

Most-used weapons

AWP6,603
AK-476,431
SSG 083,727
P2501,865
XM10141,489
P901,254

Lifetime map wins

6,577office
2,612dust2
1,486inferno
590italy
556nuke
389militia
360assault
356train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.9%Spray accuracy
76.8%Counter-strafing
10.7°Preaim
611msReaction time
42.2%T opening success
43.8%CT opening success
0.52Enemies flashed / flash
5.7%Flash assists
9.90HE damage / grenade
8.40Flashes / match

Recommended for you

Spend your practice time on Mirage

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

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–130.0346%15 Aug
mirage7–2-0.056%14 Aug
inferno13–80.1015%14 Aug
ancient13–80.0212%4 Jul
ancient4–13-0.0430%27 Jun
inferno13–4-0.014%26 Jun
warden7–13-0.0514%26 Jun
mirage13–11-0.0114%29 May
dust210–13-0.0713%29 May
cache5–13-0.0647%29 May
anubis13–4-0.0233%27 May
anubis3–13-0.0762%17 May
train0–13-0.02100%2 May
overpass13–10-0.0415%27 Apr
inferno13–80.0721%27 Apr
italy7–13-0.0711%26 Apr
inferno6–13-0.0223%24 Apr
dust212–12-0.0318%24 Apr
office13–60.0914%23 Apr
office3–13-0.0817%23 Apr
ancient12–120.0730%23 Apr
office8–13-0.0119%21 Apr
office5–13-0.0129%20 Apr
inferno13–100.0235%19 Apr
train2–130.0363%19 Apr
office4–13-0.0642%19 Apr
office11–13-0.0732%26 Mar
dust213–7-0.0619%8 Sept
train13–60.0316%8 Sept
train13–6-0.0235%8 Sept
ancient9–13-0.0510%7 Sept
train13–5-0.0329%7 Sept
ancient13–80.0522%4 Sept
agency9–13-0.0438%26 May
train9–130.0227%3 Apr
office13–90.0623%15 Feb
train13–90.0930%2 Feb
overpass13–90.0614%2 Feb
mirage5–130.0227%24 Jan
inferno13–20.0620%24 Jan
office13–100.0922%24 Jan
inferno13–40.0416%24 Jan
mirage6–130.0635%24 Jan
office5–130.0517%22 Jan
office13–80.0628%22 Jan
office4–130.0119%22 Jan
office13–20.0137%22 Jan
train13–90.0129%22 Jan
office13–80.0327%22 Jan
train11–13-0.0441%17 Jan
office13–40.0142%4 Jan
office3–13-0.0438%4 Jan
vertigo13–110.0416%11 Dec
office10–13-0.0620%11 Dec
office13–90.0125%4 Dec
office13–100.0244%4 Dec
office12–120.0221%30 Nov
inferno7–13-0.0721%6 Nov
dust24–13-0.0930%6 Nov
office13–50.0248%2 Nov
office12–120.0439%1 Nov
office9–130.0557%31 Oct
inferno8–13-0.0734%30 Oct
nuke13–4-0.0127%4 Sept
dust213–4-0.0716%4 Sept
dust213–9-0.0214%4 Sept
inferno13–70.0321%4 Sept
nuke6–13-0.090%5 Mar
office10–13-0.0117%22 Feb
office13–50.0923%25 Jan
office12–12-0.0324%25 Jan
office2–1-0.130%16 Jan
mirage5–13-0.0029%16 Jan
inferno4–13-0.0513%16 Jan
office6–130.0122%15 Jan
office3–13-0.0437%15 Jan
office13–100.0017%15 Jan
office13–10.0918%14 Jan
office0–30.019%14 Jan
overpass5–9-0.0713%14 Jan
office9–13-0.0315%12 Jan
office11–130.0024%12 Jan
office13–60.0315%10 Jan
office13–90.0115%31 Dec
vertigo3–13-0.1217%31 Dec
office13–110.0419%26 Dec
nuke13–90.0619%28 Sept
office9–4-0.0117%10 Aug
anubis9–0-0.0419%10 Aug
mirage13–16-0.0321%26 May
inferno9–6-0.0320%26 May
anubis9–70.034%23 Aug
office13–160.004%4 Mar
office15–150.0021%3 Mar
inferno16–20.0014%2 Mar
office12–160.0014%24 Feb
office9–160.0020%21 Feb
office16–10.0013%14 Feb
inferno9–160.0020%11 Feb
vertigo13–160.0018%30 Jan

Match data via Leetify.

Recent teammates

Milestones

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