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linkey — CS2 Stats

76561198152411809[U:1:192146081]✓ No bans

1,253Tracked matches45%Win rate2020Tracked since
3,046Hours in CS6Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating12,606Blue band · top ~41.1% of ranked players (population est.)
CSDB Leaderboard#7586 of 10827 tracked
FaceitLevel 3 · 820 ELOTop 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGlinkeyFACEITLevel 3 · 820 ELOSTANDINGTop 90.6% of rankedPREMIER12,606 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLLWWLLLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.4
Aggression4.2
Utility3.2
Positioning3.4
Opening Duels0.7
Clutch2.2

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 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 710ms 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
Positioning3.4
Utility3.2
Mechanics6.0
Opening Duels2.6
Win Impact3.3

Composite 3.8/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time699ms+1ms
first ⅓ avg 698ms → last ⅓ avg 699ms
Headshot accuracy14.4%+2.2%
first ⅓ avg 12.2% → last ⅓ avg 14.4%

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.

Highlights

0.12Best rating — mirage 13–9
13–2Biggest win — ancient
7Longest win streak
8–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 64% over 11infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.03
ancientB178–947%-0.04
anubisB157–847%-0.05
mirageA117–464%-0.00
cacheB115–645%-0.02
infernoC104–640%-0.10
nuke—30–30%-0.04
eldorado—10–10%-0.11
italy—10–10%-0.07
overpass—10–10%-0.12
alpine—11–0100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,827Lifetime kills
0.83K/D
3,752Matches
42.5%Match win rate
35.1%Headshot %
14.3%Shot accuracy · Top 50% of tracked players
7,466MVPs
1,570Hours (in match)
4,255Bombs planted
847Bombs defused

Most-used weapons

AK-4717,837
AWP13,068
M4A4 / M4A1-S11,220
P2000 / USP-S3,709
Glock-182,734
Desert Eagle2,208
Knife1,815
P901,610
P2501,020
FAMAS864

Lifetime map wins

12,735dust2
2,507nuke
2,150inferno
2,024train
649vertigo
581cbble
318lake
128office

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

Faceit stats

Combat

407Matches
44%Win rate
0.87Avg K/D
65.1ADR
35%Headshot %

Clutches & streaks

31%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust210053%1.0213.6
Mirage9646%0.8712.2
Anubis3345%0.9913.8
Ancient2730%0.7111.5
Nuke2035%0.8112.3
Train1839%1.0212.6
Inferno1040%0.6110.1
Overpass367%0.558.3

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.

14.2%Headshot accuracy
33.0%Accuracy (enemy spotted)
32.1%Spray accuracy
76.8%Counter-strafing
10.0°Preaim
710msReaction time
14.7%T opening success
51.0%CT opening success
0.38Enemies flashed / flash
8.6%Flash assists
9.46HE damage / grenade
2.67Flashes / 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 14.2232% — below the 15% mark we flag

    Aim Training →
  2. 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 709.511ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3794 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.017%22 Aug →
ancient10–13-0.0218%22 Aug →
dust210–13-0.010%16 Aug →
ancient13–20.005%16 Aug →
cache13–10-0.0219%15 Aug →
nuke8–13-0.094%15 Aug →
cache6–13-0.0816%15 Aug →
dust26–130.0124%15 Aug →
anubis13–70.0229%15 Aug →
anubis13–7-0.038%8 Aug →
ancient4–13-0.084%8 Aug →
mirage3–13-0.0125%1 Aug →
dust213–9-0.0114%1 Aug →
ancient6–13-0.1010%1 Aug →
inferno13–11-0.058%31 Jul →
dust215–15-0.0417%31 Jul →
cache13–16-0.0110%26 Jul →
cache13–6-0.0038%26 Jul →
anubis9–13-0.0725%26 Jul →
anubis7–13-0.0820%25 Jul →
dust29–13-0.0518%25 Jul →
cache7–13-0.0718%19 Jul →
dust213–8-0.0024%19 Jul →
inferno7–9-0.1110%19 Jul →
inferno2–9-0.2216%19 Jul →
eldorado3–9-0.1120%19 Jul →
dust213–16-0.0711%18 Jul →
ancient4–13-0.083%18 Jul →
anubis9–13-0.125%18 Jul →
anubis13–8-0.024%18 Jul →
dust213–8-0.024%17 Jul →
dust213–9-0.0526%17 Jul →
cache13–30.0519%17 Jul →
dust28–13-0.0223%17 Jul →
cache13–16-0.009%11 Jul →
anubis15–15-0.0218%11 Jul →
inferno9–5-0.0815%11 Jul →
cache13–8-0.0712%10 Jul →
anubis13–9-0.060%10 Jul →
dust213–8-0.0622%6 Jul →
ancient13–11-0.0416%6 Jul →
dust213–6-0.0433%6 Jul →
inferno9–6-0.0218%6 Jul →
cache12–12-0.0235%5 Jul →
dust26–0-0.0420%5 Jul →
cache13–80.0329%5 Jul →
italy11–13-0.0712%4 Jul →
mirage13–5-0.0411%4 Jul →
dust210–13-0.0526%4 Jul →
dust213–3-0.0023%4 Jul →
overpass1–13-0.128%3 Jul →
nuke9–13-0.0614%3 Jul →
dust216–14-0.009%3 Jul →
mirage13–90.0114%3 Jul →
ancient6–13-0.0713%28 Jun →
dust25–13-0.0510%28 Jun →
inferno10–13-0.029%28 Jun →
anubis3–13-0.098%28 Jun →
anubis13–9-0.0513%27 Jun →
anubis13–11-0.069%27 Jun →
mirage11–13-0.0122%26 Jun →
nuke11–130.0112%26 Jun →
ancient13–10-0.0817%21 Jun →
dust213–100.0028%21 Jun →
alpine13–9-0.0719%21 Jun →
cache10–13-0.0339%21 Jun →
anubis13–8-0.074%14 Jun →
ancient13–6-0.060%14 Jun →
mirage13–8-0.068%14 Jun →
dust27–13-0.0622%14 Jun →
inferno7–9-0.196%14 Jun →
ancient10–13-0.0210%7 Jun →
anubis10–130.0118%7 Jun →
anubis3–13-0.078%7 Jun →
dust212–16-0.0316%31 May →
ancient13–100.019%31 May →
dust216–14-0.019%31 May →
mirage3–13-0.0311%29 May →
inferno13–4-0.063%29 May →
dust216–13-0.038%29 May →
mirage2–0-0.010%29 May →
dust26–13-0.0315%29 May →
dust213–16-0.0725%25 May →
ancient13–9-0.039%25 May →
dust29–13-0.0216%25 May →
dust29–13-0.0520%19 May →
ancient6–13-0.0620%18 May →
mirage13–90.0212%18 May →
ancient13–8-0.0422%17 May →
anubis9–13-0.0910%16 May →
mirage13–90.1216%16 May →
mirage7–130.0120%16 May →
ancient14–16-0.079%14 May →
ancient7–130.0016%10 May →
inferno8–8-0.050%10 May →
inferno2–9-0.209%10 May →
dust29–13-0.0218%9 May →
dust212–160.0419%7 May →
dust24–13-0.095%7 May →
ancient13–11-0.0314%3 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 →

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