Toilet sink

Toilet sink — CS2 Stats

76561198116122939[U:1:155857211]Steam profile ↗

485Tracked matches46%Win rate2020Tracked since
CSDB Rating4.0 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGToilet sinkFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning47
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateTLWTLWLLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.0
Aggression5.2
Utility3.0
Positioning4.7
Opening Duels1.5

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 80% playstyle similarity

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

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 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning4.7
Utility3.0
Mechanics3.0
Opening Duels2.3
Win Impact3.8

Composite 4.0/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time631ms−2ms
first ⅓ avg 634ms → last ⅓ avg 631ms
Headshot accuracy13.1%−1.8%
first ⅓ avg 14.9% → last ⅓ avg 13.1%

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

0.12Best rating — anubis 13–2
132Biggest win — anubis
6Longest win streak
710In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 82% over 11dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB168850%-0.03
mirageC1661038%0.00
infernoB126650%-0.04
anubisS119282%-0.00
nukeS107370%-0.01
cacheC73443%-0.04
dust2D72529%0.00
overpassB63350%-0.00
trainS54180%-0.03
office42250%-0.02
vertigo3030%-0.06
stronghold110100%0.10
warden110100%0.04
alpine1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
64%Win rate
1.02Avg K/D
ADR
35%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient580%1.1014.8
Anubis250%0.9514.0
Inferno2100%1.1814.0
Vertigo10%0.8815.0
Overpass10%0.6511.0

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.

12.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
41.5%Spray accuracy
63.6%Counter-strafing
10.1°Preaim
621msReaction time
23.9%T opening success
48.2%CT opening success
0.26Enemies flashed / flash
4.3%Flash assists
6.58HE damage / grenade
2.74Flashes / 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. 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 12.6053% — 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 0.2625 — 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 23.9184% — 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 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
train12–12-0.0611%25 Aug
inferno5–13-0.0013%25 Aug
nuke10–40.0114%23 Aug
inferno12–120.0213%30 Jul
vertigo11–13-0.0712%29 Jul
ancient13–11-0.048%22 Jul
cache13–16-0.0517%19 Jul
cache8–13-0.108%19 Jul
nuke16–130.0111%19 Jul
ancient13–7-0.067%18 Jul
inferno13–4-0.0416%12 Jul
ancient13–5-0.029%9 Jul
nuke3–13-0.0318%9 Jul
nuke13–6-0.019%5 Jul
anubis11–130.006%5 Jul
nuke11–2-0.0913%3 Jul
ancient13–6-0.0022%1 Jul
nuke9–130.057%1 Jul
dust211–130.0211%1 Jul
mirage11–13-0.0115%1 Jul
ancient16–13-0.0216%1 Jul
inferno13–9-0.0714%29 Jun
ancient9–13-0.098%29 Jun
dust28–130.0311%29 Jun
mirage9–20.079%29 Jun
overpass10–130.0230%27 Jun
ancient11–13-0.0315%27 Jun
inferno8–13-0.1014%27 Jun
anubis13–20.1214%27 Jun
inferno8–13-0.057%24 Jun
dust28–13-0.0721%24 Jun
ancient13–80.019%22 Jun
inferno13–70.0123%22 Jun
overpass11–13-0.0418%9 Jun
overpass13–100.0312%7 Jun
ancient13–9-0.015%7 Jun
ancient9–13-0.0113%3 Jun
anubis13–10-0.046%3 Jun
ancient4–13-0.087%3 Jun
ancient11–13-0.0514%30 May
anubis13–80.0323%30 May
mirage13–6-0.0017%28 May
mirage15–15-0.0718%27 May
overpass12–16-0.0317%27 May
anubis16–14-0.0418%20 May
dust213–60.0318%19 May
office13–4-0.0120%15 May
office7–13-0.074%15 May
cache2–10-0.1129%10 May
cache13–10-0.036%7 May
cache13–110.0014%7 May
mirage13–9-0.0324%3 May
mirage11–13-0.0012%3 May
cache13–110.0410%3 May
cache9–13-0.0315%3 May
train13–11-0.0615%28 Apr
train5–00.015%27 Apr
mirage7–130.0121%23 Apr
stronghold13–50.1015%19 Apr
mirage13–100.0113%19 Apr
mirage13–80.0615%17 Apr
mirage11–130.0112%17 Apr
train13–9-0.0321%17 Apr
anubis13–20.0123%17 Apr
inferno13–70.0012%16 Apr
mirage4–13-0.0517%16 Apr
ancient13–5-0.0321%16 Apr
mirage10–13-0.066%16 Apr
ancient14–160.0110%12 Apr
anubis13–11-0.0215%12 Apr
mirage13–40.0426%12 Apr
nuke13–5-0.016%12 Apr
dust25–13-0.0324%12 Apr
mirage7–130.0113%11 Apr
nuke13–30.0910%11 Apr
anubis13–80.0017%11 Apr
ancient9–13-0.0112%11 Apr
overpass13–80.0117%10 Apr
vertigo12–12-0.0814%9 Apr
vertigo9–13-0.0212%9 Apr
train13–11-0.018%4 Apr
overpass13–8-0.0116%4 Apr
anubis13–60.0012%2 Apr
anubis13–9-0.0416%2 Apr
inferno13–2-0.079%27 Mar
warden9–30.0422%27 Mar
mirage3–13-0.0122%27 Mar
anubis7–13-0.076%27 Mar
alpine8–13-0.0411%27 Mar
nuke13–7-0.0510%27 Mar
mirage12–120.0212%26 Mar
ancient2–13-0.134%26 Mar
dust213–80.018%23 Mar
nuke4–9-0.0529%22 Mar
inferno4–9-0.052%22 Mar
inferno3–9-0.1140%22 Mar
inferno9–6-0.0835%21 Mar
office8–13-0.0213%20 Mar
office13–90.0019%20 Mar
dust28–130.0216%20 Mar

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 →