Slick — CS2 Stats

76561198238198922[U:1:277933194]✓ No bans

854Tracked matches65%Win rate2020Tracked since
2,948Hours in CS16Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

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CSDB.GGSlickFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning50
Utility27

0–100 skill scores via Leetify.

Recent form

HOT53389Last 10053%Win rateWTWWWWWTWL

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

Player DNA

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

Aim6.6
Aggression5.7
Utility2.7
Positioning5.0
Opening Duels3.2
Clutch0.0

Strong CT-side openerLimited utility dependence

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.6
Positioning5.0
Utility2.7
Mechanics5.7
Opening Duels3.2
Win Impact10.0

Composite 5.6/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time602ms−72ms
first ⅓ avg 674ms → last ⅓ avg 602ms
Headshot accuracy17.0%−0.6%
first ⅓ avg 17.6% → last ⅓ avg 17.0%

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

0.16Best rating — boulder 13–5
130Biggest win — vertigo
8Longest win streak
68In matches decided by ≤2 rounds
2Overtime games

Map breakdown

boulderBest map · 70% over 10trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoA39251464%-0.00
cacheC156940%-0.04
overpassA116555%-0.01
boulderS107370%0.02
fachwerkC73443%-0.04
trainD62433%-0.04
anubis41325%-0.03
ancient21150%-0.02
inferno21150%-0.01
alpine2020%-0.03
nuke110100%0.02
dust21010%-0.05

Across the last 100 tracked matches.

Lifetime stats

64,574Lifetime kills
0.86K/D
4,049Matches
41.9%Match win rate
36.2%Headshot %
18.3%Shot accuracy · Top 10% of tracked players
5,944MVPs
1,520Hours (in match)
3,412Bombs planted
717Bombs defused

Most-used weapons

Lifetime map wins

9,336vertigo
4,547inferno
2,292train
1,543nuke
786dust2
234cbble
102office
45lake

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

Faceit stats

Combat

72Matches
54%Win rate
0.76Avg K/D
59.5ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo2100%0.9412.0
Mirage10%0.5310.0
Nuke1100%0.8113.0

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.

17.0%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.2%Spray accuracy
75.9%Counter-strafing
9.8°Preaim
596msReaction time
33.4%T opening success
52.4%CT opening success
0.35Enemies flashed / flash
0.7%Flash assists
10.21HE damage / grenade
2.18Flashes / 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. 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 0.3525 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 33.4441% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo13–7-0.0030%28 Aug
vertigo12–120.0032%28 Aug
vertigo13–7-0.058%27 Aug
vertigo13–20.0826%27 Aug
vertigo13–3-0.0313%27 Aug
vertigo13–7-0.0223%27 Aug
vertigo13–110.0419%24 Aug
vertigo12–12-0.0422%24 Aug
vertigo13–20.0821%24 Aug
overpass6–13-0.0216%24 Aug
vertigo9–13-0.0016%23 Aug
cache11–13-0.0518%23 Aug
vertigo13–11-0.0415%23 Aug
vertigo13–9-0.018%19 Aug
overpass13–11-0.0011%19 Aug
train5–13-0.0421%19 Aug
vertigo13–30.0615%19 Aug
vertigo13–7-0.0121%18 Aug
vertigo13–90.0323%18 Aug
vertigo7–130.0016%17 Aug
vertigo13–50.0816%17 Aug
vertigo9–13-0.0218%17 Aug
vertigo9–13-0.0516%10 Aug
cache12–120.0420%10 Aug
vertigo13–50.078%5 Aug
boulder1–6-0.0225%5 Aug
vertigo13–8-0.076%5 Aug
boulder13–6-0.0116%30 Jul
vertigo6–13-0.0416%30 Jul
vertigo12–12-0.035%30 Jul
cache14–16-0.0917%29 Jul
ancient13–7-0.0214%29 Jul
nuke13–90.0212%29 Jul
anubis13–6-0.0212%28 Jul
vertigo13–100.0223%28 Jul
vertigo5–00.1112%28 Jul
overpass13–60.0512%28 Jul
fachwerk6–13-0.0219%28 Jul
train11–13-0.0115%28 Jul
anubis8–13-0.0311%28 Jul
cache5–13-0.0314%27 Jul
inferno13–5-0.0010%27 Jul
cache13–5-0.0221%27 Jul
ancient11–13-0.0210%27 Jul
cache13–5-0.078%25 Jul
vertigo3–13-0.0917%25 Jul
boulder13–100.0310%24 Jul
overpass13–7-0.0213%24 Jul
vertigo13–6-0.009%24 Jul
overpass9–13-0.049%23 Jul
train10–10.0725%23 Jul
vertigo2–13-0.0319%23 Jul
fachwerk8–13-0.0415%23 Jul
anubis10–13-0.0314%23 Jul
fachwerk13–6-0.0817%21 Jul
boulder13–20.0818%19 Jul
overpass13–30.0126%16 Jul
boulder12–120.0118%16 Jul
boulder13–50.1617%14 Jul
vertigo13–40.0135%14 Jul
fachwerk6–13-0.0511%14 Jul
vertigo9–13-0.0615%14 Jul
overpass2–13-0.093%14 Jul
vertigo10–5-0.015%13 Jul
boulder13–40.0013%13 Jul
fachwerk13–11-0.058%13 Jul
boulder13–10.026%13 Jul
vertigo13–11-0.0420%13 Jul
vertigo13–2-0.037%11 Jul
boulder13–60.0315%11 Jul
fachwerk13–90.0110%10 Jul
boulder3–13-0.0617%10 Jul
fachwerk4–13-0.0416%10 Jul
cache12–12-0.0718%1 Jul
cache9–3-0.018%1 Jul
alpine11–13-0.0125%1 Jul
vertigo6–13-0.006%1 Jul
vertigo13–6-0.0415%24 Jun
cache12–12-0.0024%24 Jun
train1–13-0.1133%19 Jun
overpass13–110.0115%19 Jun
train1–13-0.086%19 Jun
overpass13–30.0522%5 Jun
vertigo13–10.0342%5 Jun
vertigo13–00.0426%5 Jun
anubis11–13-0.0319%28 May
train13–7-0.059%28 May
vertigo10–13-0.039%26 May
cache2–13-0.0431%26 May
alpine3–13-0.0431%26 May
cache6–13-0.1115%19 May
cache13–9-0.0226%15 May
inferno15–15-0.019%12 May
cache13–9-0.0320%11 May
cache12–12-0.0910%10 May
vertigo11–13-0.0313%9 May
cache13–10-0.0120%9 May
overpass10–13-0.0012%30 Apr
overpass11–13-0.0517%29 Apr
dust210–13-0.0513%29 Apr

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 →