slax

slax — CS2 Stats

US76561199089604478[U:1:1129338750]Steam profile ↗✓ No bans

1,548Tracked matches57%Win rate2022Tracked since
1,574Hours in CS11Hrs last 2 wks
CSDB Rating6.4 SolidAggressive Rifler
Premier CS Rating19,548Purple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#11591 of 25873 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate49.3%42.5%44.2%above
Shot accuracy8.0%10.9%11.2%3.2% short
Kill/death ratio0.980.991.040.05 short
Match win rate42.4%44.2%45.3%2.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGslaxFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,548 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning56
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateLWLWWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.6
Aggression7.2
Utility3.4
Positioning5.6
Opening Duels3.5
Clutch0.0

Sharp aimerLimited 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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-fight frequency, positioning 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 86 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 637ms 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

Aim8.6
Positioning5.6
Utility3.4
Mechanics7.7
Opening Duels3.5
Win Impact7.2

Composite 6.4/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time646ms−43ms
first ⅓ avg 689ms → last ⅓ avg 646ms
Headshot accuracy22.1%−3.0%
first ⅓ avg 25.1% → last ⅓ avg 22.1%

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

0.28Best rating — inferno 9–4
131Biggest win — anubis
6Longest win streak
68In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA1911858%0.03
nukeA1912763%0.06
dust2B189950%0.00
ancientD92722%0.02
mirageC83538%-0.01
infernoA85363%0.08
anubisS65183%0.04
vertigoB63350%0.07
train330100%0.03
shelter21150%0.09
debris1010%-0.04
eldorado1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,637Lifetime kills
0.98K/D
2,681Matches
42.4%Match win rate
49.3%Headshot % · Top 25% of Level 4 players
8.0%Shot accuracy
5,299MVPs
871Hours (in match)
1,880Bombs planted
639Bombs defused

Most-used weapons

Lifetime map wins

3,741inferno
3,583nuke
2,890dust2
1,611vertigo
549train
156office
86lake
26italy

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

Faceit stats

Combat

23Matches
35%Win rate
1.04Avg K/D
94.6ADR
48%Headshot %

Clutches & streaks

17%1v1 clutch win
9%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke650%1.7621.7
Mirage450%1.1718.0
Inferno250%0.6211.0
Dust220%0.8514.0
Anubis20%0.5810.0
Vertigo250%0.488.5
Train10%0.9415.0
Ancient10%0.7213.0

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.

21.3%Headshot accuracy
39.8%Accuracy (enemy spotted)
43.7%Spray accuracy
84.7%Counter-strafing
8.2°Preaim
637msReaction time
39.8%T opening success
48.1%CT opening success
0.55Enemies flashed / flash
3.0%Flash assists
10.24HE damage / grenade
4.11Flashes / 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 39.7569% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0325%29 Aug
dust213–100.019%29 Aug
debris5–9-0.0426%29 Aug
dust213–30.0524%28 Aug
train13–80.0522%28 Aug
anubis13–10.0323%25 Aug
vertigo13–70.0438%23 Aug
ancient11–130.0921%17 Aug
nuke13–100.0425%17 Aug
ancient12–16-0.0619%16 Aug
train13–60.0324%15 Aug
dust213–8-0.0315%15 Aug
dust25–13-0.0350%15 Aug
mirage2–13-0.0114%15 Aug
anubis13–90.0116%14 Aug
nuke13–50.0621%14 Aug
nuke13–20.1230%10 Aug
ancient13–160.0019%9 Aug
vertigo13–110.1830%9 Aug
dust214–16-0.0416%9 Aug
cache10–13-0.0313%9 Aug
cache13–30.0822%8 Aug
dust27–130.0126%8 Aug
dust213–50.0325%8 Aug
nuke13–50.0622%8 Aug
anubis11–130.049%7 Aug
dust214–16-0.0123%7 Aug
cache9–130.0515%7 Aug
cache6–13-0.0117%7 Aug
dust213–90.0419%7 Aug
mirage13–6-0.0217%6 Aug
dust213–4-0.0432%6 Aug
nuke13–80.1020%5 Aug
cache13–4-0.0010%5 Aug
dust211–13-0.039%4 Aug
vertigo3–100.0130%2 Aug
inferno13–40.0829%28 Jul
anubis13–50.0029%28 Jul
nuke13–100.0732%28 Jul
nuke13–50.0224%28 Jul
dust213–9-0.0112%28 Jul
cache13–3-0.0421%28 Jul
ancient10–130.0534%28 Jul
shelter8–130.0725%26 Jul
nuke13–70.0216%25 Jul
dust28–130.0621%24 Jul
nuke15–150.0518%23 Jul
inferno8–80.0624%23 Jul
nuke6–90.0123%23 Jul
eldorado8–8-0.0121%19 Jul
mirage9–13-0.0319%19 Jul
ancient2–70.000%18 Jul
nuke10–130.0220%14 Jul
anubis13–30.1020%13 Jul
shelter13–60.1115%12 Jul
ancient13–110.0019%11 Jul
nuke6–13-0.0727%11 Jul
inferno13–110.0226%11 Jul
mirage10–13-0.0332%11 Jul
dust210–130.0132%11 Jul
vertigo8–80.0623%4 Jul
inferno8–80.0529%4 Jul
inferno8–8-0.0344%3 Jul
inferno9–40.2834%3 Jul
inferno9–40.1534%3 Jul
nuke10–130.0632%1 Jul
train13–90.0124%25 Jun
nuke13–60.1333%25 Jun
ancient12–12-0.0612%25 Jun
cache13–60.0329%21 Jun
anubis13–80.0623%21 Jun
cache13–110.1031%20 Jun
nuke13–110.0318%20 Jun
dust214–160.0225%17 Jun
mirage13–10-0.0823%16 Jun
dust213–60.0314%16 Jun
nuke9–130.0136%15 Jun
ancient13–50.0426%14 Jun
mirage13–10.059%14 Jun
mirage14–160.0120%13 Jun
dust216–12-0.0123%13 Jun
ancient7–130.0928%8 Jun
nuke13–70.1130%8 Jun
dust28–13-0.0228%8 Jun
cache2–4-0.0433%7 Jun
inferno13–60.0235%7 Jun
nuke13–60.1622%6 Jun
vertigo13–90.0622%3 Jun
vertigo8–130.0828%3 Jun
nuke12–160.0921%2 Jun
mirage9–130.0118%2 Jun
cache5–130.0219%2 Jun
cache5–130.0137%28 May
cache13–40.1326%28 May
cache13–11-0.0231%23 May
cache13–40.1220%17 May
cache13–100.0434%17 May
cache13–70.1327%16 May
cache13–50.0336%16 May
cache6–13-0.0113%15 May

Match data via Leetify.

Recent teammates

Milestones

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