Ł9 skips

Ł9 skips — CS2 Stats

76561198373339028[U:1:413073300]Steam profile ↗✓ No bans

340Tracked matches63%Win rate2023Tracked since
350Hours in CS1Hrs last 2 wks
CSDB Rating3.9 LearningSupport
Premier CS Rating4,672Grey band · top ~80.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 340 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 4 Mar 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,672 +0 11 Jan16 Sept · 2 days played
4,6724,672peak 4,67211 Jan16 Sept
4,672Peak Premier in tracked matches
28Days played since 2025-03-04

Premier CS Rating

  • At peak — 4,672
  • Next: Light Blue band at 5,000 328 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,191), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate54.0%38.1%39.9%above
Shot accuracy8.4%3.9%6.8%above
Kill/death ratio1.140.830.92above
Match win rate47.7%40.1%42.2%above

Across every metric we can compare, this profile already matches the typical Light Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGŁ9 skipsPREMIER4,672 · Grey 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

Aim32
Positioning42
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY464113Last 10046%Win rateLLWWLWWLLW

Last 10 vs previous 10: +10pp win rate · −0.11 avg rating · +3.1pp headshot accuracy · +9ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 652ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 664ms

Last 20

  • 974 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 660ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim3.2
Utility5.0
Positioning4.2
Opening Duels2.2

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

jL

Plays most like jL 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.2
Positioning4.2
Utility5.0
Mechanics4.0
Opening Duels2.2
Win Impact9.3

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time675ms−16ms
first ⅓ avg 691ms → last ⅓ avg 675ms
Headshot accuracy14.1%−1.0%
first ⅓ avg 15.1% → last ⅓ avg 14.1%

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.

Personal bests

0.25Best match rating · 9–4 · nuke, 28 Nov
31%Best headshot accuracy · 2–13 · dust2, 2 Nov
406msFastest reaction time · 0–9 · overpass, 10 Mar
13–3Biggest win · mirage, 18 Dec

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 55% over 11dust2Weakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC37162143%-0.02
nukeB24131154%0.02
dust2C135838%-0.01
overpassB115645%-0.02
mirageA116555%-0.02
vertigo21150%0.14
ancient2020%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,432Lifetime kills
1.14K/D · Top 10% of Grey band
870Matches
47.7%Match win rate · Top 10% of Grey band
54.0%Headshot % · Top 5% of Grey band
8.4%Shot accuracy · Top 50% of Grey band
2,864MVPs
151Hours (in match)
390Bombs planted
97Bombs defused

Most-used weapons

Lifetime map wins

1,966inferno
884nuke
513vertigo
475dust2
73train
63cbble
34lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.9%Spray accuracy
67.8%Counter-strafing
11.3°Preaim
674msReaction time
25.3%T opening success
47.9%CT opening success
0.68Enemies flashed / flash
7.9%Flash assists
12.87HE damage / grenade
10.04Flashes / 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 14.3774% — below the 15% mark we flag

    Aim Training
  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 25.2844% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass6–9-0.0816%7 Sept
inferno2–9-0.2314%7 Mar
inferno9–70.0114%1 Mar
inferno13–80.0124%8 Feb
mirage5–130.0119%8 Feb
inferno13–110.039%8 Feb
dust213–100.0317%8 Feb
inferno4–9-0.0723%7 Feb
inferno1–9-0.2820%7 Feb
dust213–90.0320%7 Feb
dust27–130.0423%7 Feb
inferno13–100.0215%11 Jan
dust215–15-0.0426%11 Jan
overpass11–130.0612%11 Jan
nuke15–150.057%11 Jan
nuke9–60.1119%1 Jan
vertigo9–30.2111%1 Jan
inferno8–80.0111%1 Jan
inferno8–80.0310%1 Jan
inferno9–60.0310%26 Dec
inferno8–8-0.028%26 Dec
dust210–13-0.0116%26 Dec
inferno13–110.1224%26 Dec
inferno9–40.019%19 Dec
mirage13–9-0.0310%18 Dec
mirage13–6-0.058%18 Dec
mirage13–10-0.027%18 Dec
mirage13–30.014%18 Dec
nuke13–8-0.0815%18 Dec
dust212–120.0619%18 Dec
mirage8–13-0.066%18 Dec
dust213–90.028%18 Dec
inferno7–9-0.1610%18 Dec
overpass6–9-0.0529%4 Dec
inferno4–9-0.0610%4 Dec
inferno9–30.149%4 Dec
overpass9–50.1513%4 Dec
overpass9–20.0018%4 Dec
nuke7–9-0.0119%4 Dec
nuke9–60.0421%4 Dec
nuke8–80.0123%4 Dec
dust213–7-0.0211%4 Dec
overpass13–8-0.0011%1 Dec
overpass10–13-0.015%1 Dec
nuke13–30.0613%1 Dec
mirage13–9-0.0112%1 Dec
nuke11–130.0015%1 Dec
ancient8–13-0.0123%1 Dec
mirage13–9-0.0722%28 Nov
ancient5–13-0.082%28 Nov
inferno3–9-0.1817%28 Nov
inferno5–9-0.1026%28 Nov
overpass9–20.075%28 Nov
nuke9–40.2511%28 Nov
nuke8–80.0112%28 Nov
inferno9–50.0226%28 Nov
dust20–13-0.1025%21 Nov
overpass9–4-0.095%7 Nov
nuke8–8-0.0910%7 Nov
nuke2–9-0.1417%7 Nov
nuke9–30.1113%7 Nov
nuke9–70.0311%7 Nov
inferno9–10.2315%7 Nov
nuke9–10.143%7 Nov
inferno8–80.0711%7 Nov
inferno9–30.1013%7 Nov
dust212–12-0.007%7 Nov
nuke7–13-0.029%3 Nov
mirage11–13-0.0217%3 Nov
dust29–13-0.0414%3 Nov
nuke13–160.0214%3 Nov
nuke13–11-0.0215%3 Nov
dust213–60.009%2 Nov
inferno9–130.0116%2 Nov
dust22–13-0.0731%2 Nov
mirage8–130.0622%2 Nov
overpass8–13-0.083%2 Nov
inferno4–13-0.0417%2 Nov
nuke13–7-0.0210%2 Nov
inferno9–4-0.0120%2 Nov
inferno0–9-0.3011%2 Nov
nuke2–9-0.1410%2 Nov
mirage10–130.019%19 Oct
inferno1–9-0.135%31 Mar
inferno8–80.0910%31 Mar
inferno9–30.1118%22 Mar
nuke7–9-0.073%19 Mar
inferno2–9-0.1717%14 Mar
inferno3–9-0.1920%14 Mar
overpass0–9-0.2522%10 Mar
inferno5–9-0.0612%10 Mar
inferno8–8-0.0519%9 Mar
inferno7–9-0.0713%9 Mar
inferno9–40.0626%9 Mar
inferno9–70.0723%9 Mar
nuke9–50.0318%9 Mar
nuke9–00.2019%8 Mar
vertigo9–130.0617%7 Mar
nuke9–50.009%5 Mar
inferno9–50.0622%4 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 →