Link1n

Link1n — CS2 Stats

FO76561199022680824[U:1:1062415096]Steam profile ↗✓ No bans

669Tracked matches38%Win rate2021Tracked since
659Hours in CS
CSDB Rating3.9 LearningAll-Rounder
Premier CS Rating13,101Blue band · top ~38.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Apr 2026 (152 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.

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. 46 days played since 13 Feb 2026. 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: 13,101 +396 20 Feb – 26 Apr · 15 days played
12,59115,114peak 15,11420 Feb26 Apr
15,114Peak Premier in tracked matches
46Days played since 2026-02-13

Premier CS Rating

  • 2,013 below peak (15,114)
  • +510 over 30 days · improving
  • Next: Purple band at 15,000 — 1,899 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate49.6%41.9%44.3%above
Shot accuracy18.4%9.6%11.8%above
Kill/death ratio1.210.981.03above
Match win rate45.4%43.8%45.2%meets

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

Share this profile

CSDB.GGLink1nPREMIER13,101 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning43
Utility43

0–100 skill scores via Leetify.

Recent form

COLD36–52–12Last 10036%Win rateTTLTWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −61ms 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

  • 1–1–3 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 656ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 680ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 711ms

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.

Aim4.4
Utility4.3
Positioning4.3
Opening Duels3.5

Effective flashesLimited 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.

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 76% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 726ms 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

Aim4.4
Positioning4.3
Utility4.3
Mechanics6.4
Opening Duels2.5
Win Impact0.8

Composite 3.9/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time724ms+28ms
first ⅓ avg 696ms → last ⅓ avg 724ms
Headshot accuracy19.4%+3.2%
first ⅓ avg 16.2% → last ⅓ avg 19.4%

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

0.14Best match rating · 13–3 · nuke, 14 Feb →
40%Best headshot accuracy · 0–4 · cache, 8 May →
445msFastest reaction time · 8–1 · nuke, 1 Mar →
13–1Biggest win · nuke, 12 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 41% over 46infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC4619–2741%-0.01
cacheD134–931%-0.03
dust2C135–838%-0.02
mirageD124–833%-0.03
overpassC83–538%-0.00
infernoD61–517%-0.02
vertigo—10–10%0.00
ancient—10–10%0.02

Across the last 100 tracked matches.

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

Lifetime stats

37,832Lifetime kills
1.21K/D · Top 25% of Blue band
1,917Matches
45.4%Match win rate · Top 50% of Blue band
49.6%Headshot % · Top 25% of Blue band
18.4%Shot accuracy · Top 10% of Blue band
3,988MVPs
659Hours (in match)
2,389Bombs planted
372Bombs defused

Most-used weapons

Lifetime map wins

12,903nuke
856vertigo
742dust2
649inferno
16train
14office
6italy
2ar_shoots

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.

18.5%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.6%Spray accuracy
78.7%Counter-strafing
10.9°Preaim
726msReaction time
38.1%T opening success
42.0%CT opening success
0.78Enemies flashed / flash
1.5%Flash assists
4.75HE damage / grenade
3.48Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 726.0997ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.4764 — below the 4 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 38.0795% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.048%1 Aug →
nuke12–12-0.0422%6 Jun →
cache7–130.0418%6 Jun →
cache12–12-0.046%6 Jun →
nuke13–6-0.0220%3 Jun →
cache10–13-0.0519%3 Jun →
nuke7–13-0.0314%3 Jun →
nuke13–7-0.0314%29 May →
nuke10–130.0624%29 May →
nuke13–30.0222%28 May →
nuke8–130.0316%26 May →
nuke12–120.0014%24 May →
nuke13–10-0.0116%23 May →
cache6–13-0.0413%22 May →
vertigo4–130.0023%16 May →
nuke7–13-0.0218%16 May →
nuke13–60.0917%15 May →
cache13–9-0.0432%15 May →
nuke4–13-0.0119%14 May →
cache9–130.0220%14 May →
cache13–60.0431%14 May →
cache13–2-0.0320%9 May →
nuke6–10-0.0213%8 May →
cache0–4-0.1340%8 May →
cache5–13-0.0833%7 May →
cache5–13-0.0516%5 May →
cache13–20.0312%2 May →
nuke12–12-0.0510%1 May →
nuke9–13-0.0023%30 Apr →
cache12–12-0.0323%29 Apr →
dust213–60.0625%26 Apr →
nuke12–120.0320%26 Apr →
nuke3–13-0.0118%25 Apr →
nuke12–12-0.0712%25 Apr →
nuke5–13-0.0318%24 Apr →
nuke11–13-0.099%23 Apr →
nuke13–8-0.0410%21 Apr →
nuke13–3-0.0829%21 Apr →
nuke13–40.0117%15 Apr →
nuke7–13-0.0115%12 Apr →
dust211–13-0.0010%8 Apr →
nuke7–130.0021%8 Apr →
nuke0–8-0.0710%8 Apr →
inferno9–13-0.0317%29 Mar →
inferno11–13-0.0121%29 Mar →
dust29–13-0.0423%28 Mar →
nuke12–12-0.0321%28 Mar →
inferno11–13-0.0323%22 Mar →
nuke10–13-0.0416%15 Mar →
ancient10–130.028%13 Mar →
dust22–13-0.0218%13 Mar →
overpass4–130.0219%13 Mar →
dust22–13-0.094%13 Mar →
overpass13–40.0921%13 Mar →
nuke9–13-0.0526%12 Mar →
nuke13–10.0133%12 Mar →
nuke13–90.1129%8 Mar →
inferno12–16-0.0519%8 Mar →
overpass7–13-0.0610%7 Mar →
dust212–12-0.0212%7 Mar →
nuke11–13-0.0424%7 Mar →
overpass12–12-0.0413%7 Mar →
overpass9–13-0.0224%6 Mar →
nuke9–4-0.0733%6 Mar →
dust213–110.0127%5 Mar →
overpass15–150.0125%1 Mar →
nuke8–1-0.0418%1 Mar →
mirage1–13-0.0923%1 Mar →
overpass13–40.0016%1 Mar →
mirage9–13-0.0510%28 Feb →
mirage4–13-0.0214%28 Feb →
inferno6–130.0210%22 Feb →
mirage13–8-0.0415%22 Feb →
nuke11–13-0.0010%21 Feb →
dust213–10-0.0221%21 Feb →
nuke13–100.0220%21 Feb →
nuke16–13-0.0512%21 Feb →
overpass13–1-0.030%21 Feb →
nuke6–13-0.0827%21 Feb →
dust211–13-0.0729%21 Feb →
nuke13–11-0.0321%20 Feb →
nuke13–8-0.0418%20 Feb →
dust213–40.0019%20 Feb →
nuke2–13-0.0421%20 Feb →
mirage6–13-0.0613%20 Feb →
mirage13–100.0117%20 Feb →
nuke10–13-0.0537%15 Feb →
nuke13–3-0.0020%15 Feb →
nuke8–13-0.0118%15 Feb →
mirage5–130.0214%15 Feb →
mirage13–7-0.0715%15 Feb →
mirage13–16-0.069%15 Feb →
dust27–13-0.0516%14 Feb →
mirage12–16-0.0616%14 Feb →
mirage13–70.064%14 Feb →
nuke13–80.0311%14 Feb →
nuke13–30.1428%14 Feb →
dust29–130.0016%14 Feb →
dust213–30.037%14 Feb →
inferno13–11-0.038%13 Feb →

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 →