WaterGrill

WaterGrill — CS2 Stats

SE76561198849315819[U:1:889050091]Steam profile ↗

205Tracked matches38%Win rate2020Tracked since
367Hours in CS
CSDB Rating4.6 DevelopingPassive Rifler
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Performance scores

Aim63
Positioning45
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateLWWLLWLLWL

Last 10 vs previous 10: -50pp win rate · -0.08 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression4.4
Utility4.1
Positioning4.5
Opening Duels1.5
Clutch2.6

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

NiKo

Plays most like NiKo 85% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.3
Positioning4.5
Utility4.1
Mechanics6.2
Opening Duels1.8
Win Impact1.0

Composite 4.6/10 (Developing), 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 rating0.06+0.04
first ⅓ avg 0.02 → last ⅓ avg 0.06
Reaction time648ms+58ms
first ⅓ avg 590ms → last ⅓ avg 648ms
Headshot accuracy19.2%−0.3%
first ⅓ avg 19.6% → last ⅓ avg 19.2%

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

0.39Best rating — inferno 9–1
131Biggest win — mirage
7Longest win streak
811In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 56% over 9dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB37201754%0.06
mirageC1881044%0.01
nukeC156940%0.01
vertigoB105550%0.08
ancientA95456%0.05
dust2C83538%0.01
cache1010%0.03
anubis110100%0.09
palacio110100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,076Lifetime kills
1.08K/D · Top 50% of tracked players
1,097Matches
45.2%Match win rate
42.6%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
3,527MVPs
367Hours (in match)
930Bombs planted
190Bombs defused

Most-used weapons

Lifetime map wins

2,097inferno
791nuke
541train
468dust2
450vertigo
189cbble
67office
18lake

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

Faceit stats

Combat

2Matches
0%Win rate
1.13Avg K/D
102.2ADR
56%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%1.0017.0
Nuke10%1.2624.0

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.

24.1%Headshot accuracy
29.0%Accuracy (enemy spotted)
33.4%Spray accuracy
78.0%Counter-strafing
9.4°Preaim
617msReaction time
27.5%T opening success
44.5%CT opening success
0.64Enemies flashed / flash
1.7%Flash assists
8.14HE damage / grenade
6.31Flashes / 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 27.5462% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–90.0222%1 Jul
inferno9–70.0816%1 Jul
inferno9–40.1213%1 Jul
inferno5–9-0.1520%1 Jul
nuke4–90.0417%23 Jun
vertigo9–60.1518%23 Jun
inferno7–90.0924%23 Jun
nuke5–9-0.0316%23 Jun
vertigo9–20.243%23 Jun
inferno2–9-0.1023%23 Jun
inferno9–70.1832%23 Jun
nuke9–50.1218%23 Jun
vertigo9–40.2015%23 Jun
inferno6–90.0317%23 Jun
inferno9–4-0.0413%23 Jun
inferno9–70.1016%23 Jun
inferno9–10.2429%23 Jun
inferno9–40.1718%20 Jun
inferno9–30.1219%20 Jun
nuke9–50.1025%20 Jun
vertigo9–20.0544%20 Jun
inferno5–9-0.079%20 Jun
vertigo7–90.0316%15 Jun
nuke6–9-0.0913%15 Jun
inferno6–90.0120%15 Jun
inferno5–9-0.0525%15 Jun
inferno7–90.0518%7 Jun
inferno6–9-0.0811%7 Jun
inferno7–9-0.013%7 Jun
inferno9–40.0128%7 Jun
inferno9–50.1129%7 Jun
inferno9–50.0831%7 Jun
inferno9–50.1113%7 Jun
inferno8–80.0127%7 Jun
inferno6–90.0220%7 Jun
inferno9–20.2655%7 Jun
inferno9–10.3943%7 Jun
inferno9–70.1224%7 Jun
inferno9–60.1936%7 Jun
nuke5–90.0018%7 Jun
vertigo7–90.0719%7 Jun
inferno9–6-0.0322%7 Jun
dust25–130.0713%8 May
ancient11–130.0923%29 Apr
cache6–130.0320%29 Apr
nuke11–130.0531%24 Apr
mirage1–130.0129%24 Apr
mirage13–10.0632%22 Apr
mirage7–130.0128%22 Apr
mirage12–120.0619%1 Apr
inferno9–10.3132%18 Mar
vertigo9–50.0932%18 Mar
vertigo6–9-0.0121%18 Mar
nuke9–13-0.0219%11 Mar
mirage5–130.0926%4 Mar
mirage6–130.0019%4 Mar
dust213–110.0131%20 Feb
mirage13–10-0.0423%20 Feb
mirage9–130.0418%20 Feb
dust27–130.0525%20 Feb
mirage13–100.0022%18 Feb
dust25–13-0.0424%18 Feb
nuke7–13-0.0320%18 Feb
nuke13–10-0.0731%11 Feb
mirage11–13-0.0625%11 Feb
mirage7–13-0.0418%6 Feb
mirage13–80.0431%6 Feb
dust210–13-0.0127%6 Feb
dust213–6-0.0026%4 Feb
nuke13–8-0.0618%30 Jan
dust213–10-0.0025%30 Jan
vertigo8–13-0.0815%28 Jan
mirage14–16-0.0129%28 Jan
mirage13–80.0331%28 Jan
nuke13–8-0.0226%28 Jan
mirage13–3-0.0123%28 Jan
ancient9–13-0.0510%28 Jan
anubis13–50.0925%23 Jan
ancient13–90.1419%23 Jan
ancient13–20.0115%21 Jan
ancient11–13-0.0229%21 Jan
dust212–16-0.0226%21 Jan
ancient13–90.0222%21 Jan
mirage16–14-0.0219%21 Jan
inferno16–130.1024%22 Oct
nuke5–13-0.0117%22 Oct
ancient13–110.1321%17 Oct
ancient16–130.0720%13 Oct
palacio13–10-0.066%13 Oct
mirage13–16-0.0114%10 Oct
ancient3–130.0325%10 Oct
inferno8–13-0.013%28 Aug
nuke2–130.0424%28 Aug
inferno12–16-0.078%27 Aug
mirage13–90.0223%27 Aug
vertigo6–90.0811%27 Aug
inferno9–70.0316%27 Aug
inferno6–90.0313%27 Aug
inferno11–130.0116%27 Aug
nuke13–50.1220%25 Aug

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 →