Slushie <3 — CS2 Stats

76561198986888201[U:1:1026622473]

1,144Tracked matches48%Win rate2022Tracked since
1,922Hours in CS
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate33.2%47.2%49.0%15.8% short
Shot accuracy9.4%12.3%13.1%3.7% short
Kill/death ratio1.491.071.08above
Match win rate62.3%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSlushie <3FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning49
Utility32

0–100 skill scores via Leetify.

Recent form

COLD53416Last 10053%Win rateWLLWWTLLLL

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

Player DNA

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

Aim9.1
Aggression4.9
Utility3.2
Positioning4.9
Opening Duels0.9
Clutch1.2

Sharp aimerExcellent counter-strafingLimited 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 89% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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

Reaction time. 558ms 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

Aim9.1
Positioning4.9
Utility3.2
Mechanics8.6
Opening Duels0.9
Win Impact4.4

Composite 6.0/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time564ms−23ms
first ⅓ avg 587ms → last ⅓ avg 564ms
Headshot accuracy21.0%+5.6%
first ⅓ avg 15.4% → last ⅓ avg 21.0%

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

0.17Best rating — dust2 13–3
132Biggest win — mirage
7Longest win streak
77In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 60% over 5cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C26111542%0.01
mirageA2112957%0.01
officeA169756%-0.01
cacheD103730%0.01
infernoB84450%0.02
nukeA53260%0.04
anubis440100%0.03
ancient32167%0.00
train21150%-0.04
overpass21150%0.04
italy110100%-0.07
alpine110100%-0.01
vertigo110100%0.11

Across the last 100 tracked matches.

Lifetime stats

102,161Lifetime kills
1.49K/D · Top 10% of Level 8 players
7,405Matches
62.3%Match win rate · Top 5% of Level 8 players
33.2%Headshot %
9.4%Shot accuracy
8,560MVPs
1,922Hours (in match)
4,039Bombs planted
987Bombs defused

Most-used weapons

Lifetime map wins

6,272vertigo
5,452inferno
4,628dust2
4,616nuke
1,821cbble
1,411train
1,373office
312italy

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

Faceit stats

Combat

107Matches
58%Win rate
1.08Avg K/D
74.3ADR
38%Headshot %

Clutches & streaks

26%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1958%1.1214.1
Anubis1250%1.0114.5
Dust21164%1.2216.0
Inferno1040%0.8713.6
Nuke1070%1.1618.0
Vertigo967%1.1115.4
Ancient825%0.8414.1
Train475%0.9413.5

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.

20.1%Headshot accuracy
41.7%Accuracy (enemy spotted)
44.0%Spray accuracy
88.5%Counter-strafing
8.6°Preaim
558msReaction time
36.4%T opening success
31.0%CT opening success
0.51Enemies flashed / flash
2.1%Flash assists
7.77HE damage / grenade
1.85Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.8503 — below the 4 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 36.3769% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
italy13–7-0.0714%27 Aug
mirage0–13-0.0018%26 Aug
office11–13-0.0320%22 Aug
dust211–50.0719%22 Aug
mirage13–11-0.0124%22 Aug
mirage12–120.0027%22 Aug
mirage7–130.0219%21 Aug
inferno5–130.0320%21 Aug
office1–13-0.0220%21 Aug
office1–8-0.0650%21 Aug
mirage8–13-0.029%21 Aug
mirage1–13-0.0817%20 Aug
dust29–13-0.0117%19 Aug
office13–30.0425%19 Aug
nuke6–130.0113%13 Aug
office13–5-0.0114%13 Aug
mirage13–20.0432%13 Aug
anubis13–10-0.0315%10 Aug
cache4–13-0.0224%5 Aug
cache7–130.0223%4 Aug
dust213–30.178%4 Aug
train9–13-0.0326%4 Aug
mirage4–1-0.0443%4 Aug
office13–70.0120%3 Aug
cache8–130.0119%3 Aug
ancient13–3-0.016%3 Aug
mirage13–30.0527%4 Jul
cache11–13-0.0123%4 Jul
nuke13–10-0.0230%4 Jul
inferno13–20.0311%3 Jul
cache11–130.0118%3 Jul
cache9–13-0.0115%3 Jul
nuke5–130.0526%3 Jul
mirage13–50.0118%3 Jul
dust213–9-0.0131%3 Jul
mirage13–10-0.0227%3 Jul
cache13–90.0115%2 Jul
dust29–13-0.0514%24 Jun
mirage9–60.018%24 Jun
dust213–10-0.0521%16 Jun
office13–50.0019%16 Jun
dust211–13-0.0714%6 Jun
dust213–110.0826%31 May
mirage13–100.1016%27 May
dust212–120.0610%24 May
office10–130.0123%24 May
mirage13–50.0223%24 May
dust25–130.0023%24 May
dust213–6-0.0112%23 May
cache13–30.078%23 May
mirage12–120.0323%22 May
dust210–130.0115%22 May
office13–110.0916%22 May
office12–120.0219%20 May
inferno13–40.0941%20 May
nuke13–90.0229%20 May
dust210–130.0122%19 May
dust213–110.1316%17 May
office8–13-0.0914%16 May
cache7–13-0.0123%3 May
cache13–10-0.0021%30 Apr
dust26–13-0.0334%30 Apr
train13–8-0.0518%23 Apr
ancient14–16-0.0313%30 Mar
dust213–80.0316%30 Mar
mirage8–13-0.027%27 Mar
dust211–13-0.0413%27 Mar
dust213–50.0310%27 Mar
inferno6–130.008%27 Mar
office13–100.0135%27 Mar
office13–8-0.0710%27 Mar
office13–8-0.0114%25 Mar
nuke13–30.1315%25 Mar
mirage13–70.0631%24 Mar
inferno13–50.0423%24 Mar
office13–40.012%24 Mar
dust23–13-0.0416%22 Mar
dust29–13-0.0210%21 Mar
inferno13–9-0.0111%20 Mar
mirage11–13-0.0113%18 Mar
office5–13-0.0320%18 Mar
dust210–13-0.0213%18 Mar
overpass13–110.0417%15 Mar
overpass4–130.0515%15 Mar
alpine13–6-0.017%28 Feb
dust212–12-0.043%28 Feb
dust20–11-0.0013%20 Feb
anubis13–110.0813%16 Feb
dust27–10.0833%16 Feb
vertigo13–80.1125%13 Feb
mirage13–10-0.0019%13 Feb
inferno2–13-0.0527%5 Feb
anubis13–70.0113%4 Feb
anubis13–70.048%4 Feb
inferno7–130.0010%30 Jan
ancient13–80.0621%30 Jan
mirage8–130.039%30 Jan
mirage11–7-0.0018%29 Jan
dust213–11-0.0312%29 Jan
dust212–12-0.0513%29 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →