SLXSH

SLXSH — CS2 Stats

GB76561199066229436[U:1:1105963708]Steam profile ↗✓ No bans

504Tracked matches48%Win rate2021Tracked since
907Hours in CS2Hrs last 2 wks
CSDB Rating4.8 DevelopingAll-Rounder
Premier CS Rating14,889Blue band · top ~29% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,889 +2,324 15 Jun – 2 Sept · 13 days played
12,56515,798peak 15,79815 Jun2 Sept
15,912Peak Premier in tracked matches
32Days played since 2026-06-15

Premier CS Rating

  • 909 below peak (15,798)
  • -110 over 30 days · steady
  • +2,324 over 90 days
  • Next: Purple band at 15,000 — 111 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.5%43.8%44.8%meets
Shot accuracy14.1%12.0%12.4%above
Kill/death ratio1.091.021.03above
Match win rate40.7%44.7%45.2%4.6% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSLXSHFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,889 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54
Positioning47
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWWLTLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +9.4pp headshot accuracy · −36ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 613ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 568ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.4
Utility4.6
Positioning4.7
Opening Duels3.2
Clutch4.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 51% on CT to 33% 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

Aim5.4
Positioning4.7
Utility4.6
Mechanics7.0
Opening Duels3.0
Win Impact4.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−94ms
first ⅓ avg 664ms → last ⅓ avg 570ms
Headshot accuracy15.4%−0.8%
first ⅓ avg 16.3% → last ⅓ avg 15.4%

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.

Personal bests

0.20Best match rating · 5–0 · nuke, 29 Jun →
33%Best headshot accuracy · 5–9 · vertigo, 13 Oct →
414msFastest reaction time · 6–9 · inferno, 29 Aug →
13–0Biggest win · ancient, 22 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC2511–1444%0.01
infernoD175–1229%-0.00
ancientS1410–471%0.01
anubisC104–640%-0.00
cacheD93–633%-0.02
overpassS75–271%0.04
vertigo—40–40%-0.02
mirage—42–250%-0.02
debris—32–167%0.11
poseidon—21–150%-0.07
dust2—22–0100%0.02
eldorado—10–10%-0.07
office—11–0100%0.06
train—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,891Lifetime kills
1.09K/D · Top 50% of Level 5 players
1,596Matches
40.7%Match win rate
44.5%Headshot % · Top 50% of Level 5 players
14.1%Shot accuracy · Top 50% of Level 5 players
2,228MVPs
483Hours (in match)
1,144Bombs planted
274Bombs defused

Most-used weapons

Lifetime map wins

1,566nuke
1,395inferno
1,190vertigo
810dust2
284office
195train
121lake
46cbble

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

Faceit stats

Combat

33Matches
55%Win rate
0.89Avg K/D
64.8ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo450%0.9011.0
Ancient425%0.8711.3
Anubis3100%1.0513.3
Mirage1100%0.9314.0
Nuke1100%1.2222.0
Inferno10%0.539.0

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.

14.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
30.8%Spray accuracy
81.7%Counter-strafing
9.6°Preaim
617msReaction time
33.3%T opening success
50.6%CT opening success
0.48Enemies flashed / flash
2.3%Flash assists
9.28HE damage / grenade
6.82Flashes / 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 14.0586% — 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 0.4839 — 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 33.3279% — below the 40% mark we flag

Spend your practice time on Inferno

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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo6–90.1221%18 Oct →
inferno9–60.0418%18 Oct →
nuke9–40.1214%18 Oct →
overpass9–70.1017%14 Oct →
vertigo3–9-0.0725%14 Oct →
nuke8–80.0725%14 Oct →
vertigo5–9-0.1433%13 Oct →
inferno2–9-0.0729%13 Oct →
eldorado6–9-0.0711%12 Oct →
inferno9–70.0817%12 Oct →
poseidon5–9-0.0712%9 Oct →
debris9–60.1414%9 Oct →
nuke7–9-0.0310%9 Oct →
nuke3–90.017%9 Oct →
dust213–90.069%7 Oct →
overpass9–130.0311%7 Oct →
anubis13–40.087%7 Oct →
debris8–8-0.0014%3 Oct →
vertigo7–90.0416%3 Oct →
inferno9–60.0117%3 Oct →
nuke9–50.1013%24 Sept →
nuke10–13-0.0421%2 Sept →
cache5–13-0.0714%1 Sept →
nuke5–13-0.0415%1 Sept →
office13–90.0617%31 Aug →
inferno11–13-0.0212%31 Aug →
debris9–30.1916%30 Aug →
nuke9–30.0515%30 Aug →
inferno6–9-0.0313%30 Aug →
nuke7–13-0.0314%29 Aug →
inferno6–9-0.0716%29 Aug →
nuke0–13-0.138%11 Aug →
cache10–13-0.0411%11 Aug →
ancient8–1-0.0114%11 Aug →
anubis11–130.0514%6 Aug →
nuke13–9-0.0626%5 Aug →
inferno7–130.0615%5 Aug →
cache11–13-0.0212%5 Aug →
ancient13–70.0413%5 Aug →
inferno9–60.1027%5 Aug →
cache13–5-0.0612%4 Aug →
ancient11–130.0311%4 Aug →
nuke10–13-0.0322%4 Aug →
anubis13–60.0114%3 Aug →
cache12–30.0522%3 Aug →
mirage13–8-0.0410%3 Aug →
anubis13–8-0.0118%3 Aug →
nuke13–40.1320%3 Aug →
ancient13–8-0.0012%3 Aug →
ancient13–60.0524%3 Aug →
inferno3–13-0.028%3 Aug →
cache9–13-0.0917%3 Aug →
anubis15–15-0.023%2 Aug →
nuke13–70.0312%2 Aug →
inferno11–13-0.0418%2 Aug →
nuke5–13-0.1121%2 Aug →
inferno8–13-0.0213%26 Jul →
dust213–8-0.0219%26 Jul →
anubis9–130.0216%26 Jul →
anubis7–13-0.064%24 Jul →
ancient4–13-0.0512%24 Jul →
ancient13–50.0115%23 Jul →
nuke13–80.0213%22 Jul →
inferno6–13-0.0117%22 Jul →
cache4–130.0421%22 Jul →
inferno13–30.0717%22 Jul →
nuke6–13-0.0312%22 Jul →
ancient13–00.0310%22 Jul →
cache13–100.0114%21 Jul →
inferno10–130.076%21 Jul →
ancient5–13-0.0610%21 Jul →
mirage7–13-0.0316%19 Jul →
nuke7–20.1133%19 Jul →
ancient13–50.0515%19 Jul →
cache8–130.0317%19 Jul →
ancient11–130.0311%3 Jul →
overpass13–30.0427%3 Jul →
nuke7–13-0.0517%2 Jul →
mirage13–5-0.0221%2 Jul →
nuke13–80.019%2 Jul →
overpass13–40.0314%2 Jul →
inferno4–9-0.1430%1 Jul →
nuke7–9-0.0020%1 Jul →
poseidon9–5-0.0611%1 Jul →
train13–70.0321%30 Jun →
overpass13–80.0217%30 Jun →
ancient4–00.0618%30 Jun →
overpass10–130.0619%30 Jun →
inferno1–13-0.053%30 Jun →
nuke5–13-0.0212%30 Jun →
anubis1–13-0.0315%30 Jun →
ancient13–8-0.0214%30 Jun →
overpass13–100.0320%30 Jun →
ancient16–130.0514%29 Jun →
anubis4–13-0.0712%29 Jun →
nuke5–00.2024%29 Jun →
mirage10–13-0.009%29 Jun →
nuke7–130.0119%17 Jun →
nuke10–20.0418%17 Jun →
anubis13–6-0.0119%15 Jun →

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 →

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