3 Chàng Lính Ngu Lắm

3 Chàng Lính Ngu Lắm — CS2 Stats

VN76561199511725601[U:1:1551459873]Steam profile ↗✓ No bans

980Tracked matches38%Win rate2024Tracked since
434Hours in CS
CSDB Rating2.5 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.4%42.1%42.5%above
Shot accuracy0.0%12.1%10.9%10.9% short
Kill/death ratio0.640.990.990.35 short
Match win rate45.0%43.9%44.2%meets

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG3 Chàng Lính Ngu LắmFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim23
Positioning29
Utility32

0–100 skill scores via Leetify.

Recent form

COLD44524Last 10044%Win rateWLWLLLTLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim2.3
Aggression0.7
Utility3.2
Positioning2.9
Opening Duels0.0
Clutch4.8

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 61% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

Reaction time. 714ms 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

Aim2.3
Positioning2.9
Utility3.2
Mechanics4.5
Opening Duels0.0
Win Impact1.0

Composite 2.5/10 (Learning), 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 rating-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time710ms−17ms
first ⅓ avg 727ms → last ⅓ avg 710ms
Headshot accuracy14.9%+1.7%
first ⅓ avg 13.2% → last ⅓ avg 14.9%

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

0.02Best rating — dust2 15–15
130Biggest win — inferno
4Longest win streak
65In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 47% over 36mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B36171947%-0.05
infernoC32141844%-0.05
mirageC145936%-0.05
ancientC114736%-0.06
nuke32167%-0.05
overpass32167%-0.02
anubis1010%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,417Lifetime kills
0.64K/D
1,053Matches
45.0%Match win rate · Top 50% of Level 3 players
43.4%Headshot % · Top 50% of Level 3 players
0.0%Shot accuracy
1,182MVPs
434Hours (in match)
914Bombs planted
222Bombs defused

Most-used weapons

Lifetime map wins

2,812inferno
2,773dust2
375nuke
154train
138vertigo
29office
2ar_shoots

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

Faceit stats

Combat

15Matches
33%Win rate
0.69Avg K/D
56.2ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2633%0.647.8
Ancient425%0.488.0
Inferno367%1.2518.3
Mirage20%0.427.0

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.

14.7%Headshot accuracy
26.2%Accuracy (enemy spotted)
29.9%Spray accuracy
70.1%Counter-strafing
11.5°Preaim
714msReaction time
18.6%T opening success
23.0%CT opening success
0.39Enemies flashed / flash
3.7%Flash assists
7.57HE damage / grenade
7.28Flashes / 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 14.6776% — 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 714.4444ms — 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 0.3887 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.1115%31 Jul
mirage7–13-0.0610%31 Jul
dust213–11-0.049%11 Jul
nuke5–13-0.0329%11 Jul
dust210–13-0.0310%11 Jul
mirage6–13-0.1217%10 Jul
dust215–15-0.0612%14 Jun
inferno1–9-0.100%14 Jun
inferno7–13-0.0620%14 Jun
mirage4–13-0.058%14 Jun
mirage13–9-0.0414%14 Jun
dust27–13-0.0827%14 Jun
dust213–6-0.0822%14 Jun
inferno13–0-0.0310%14 Jun
mirage10–13-0.0913%7 Jun
inferno7–13-0.0715%11 May
ancient9–13-0.0518%11 May
inferno13–7-0.039%17 Apr
inferno5–13-0.0411%12 Apr
dust213–11-0.0316%12 Apr
inferno9–13-0.108%12 Apr
inferno13–5-0.083%12 Apr
dust211–0-0.0229%12 Apr
dust210–13-0.1021%9 Apr
inferno8–13-0.0321%9 Apr
inferno5–13-0.0811%4 Apr
dust213–3-0.0717%4 Apr
inferno5–13-0.0617%4 Apr
ancient9–13-0.0518%4 Apr
dust216–14-0.0312%4 Apr
dust29–13-0.0814%3 Apr
dust26–13-0.0321%3 Apr
dust213–10-0.0315%3 Apr
overpass10–13-0.0418%3 Apr
ancient9–13-0.0811%3 Apr
dust213–11-0.0213%3 Apr
dust215–15-0.0715%31 Mar
dust213–7-0.048%31 Mar
dust213–70.0115%31 Mar
anubis11–13-0.0811%30 Mar
dust23–13-0.1017%30 Mar
inferno8–13-0.0328%28 Mar
dust211–13-0.1014%28 Mar
inferno13–3-0.0422%28 Mar
ancient2–13-0.0516%28 Mar
inferno6–13-0.0713%26 Mar
mirage15–15-0.049%26 Mar
inferno13–10-0.0411%25 Mar
dust26–13-0.0916%25 Mar
overpass13–9-0.008%25 Mar
mirage10–13-0.0423%25 Mar
inferno13–100.0011%25 Mar
dust26–13-0.0814%25 Mar
overpass16–13-0.0110%14 Mar
inferno8–13-0.070%13 Mar
ancient13–9-0.0512%13 Mar
dust213–100.0118%13 Mar
inferno13–5-0.056%13 Mar
dust215–150.0219%9 Mar
dust213–11-0.079%9 Mar
inferno14–16-0.0326%8 Mar
inferno8–13-0.0112%8 Mar
dust211–13-0.0213%8 Mar
inferno11–13-0.0812%7 Mar
ancient6–13-0.0914%7 Mar
mirage13–100.0122%7 Mar
ancient13–9-0.0613%5 Mar
inferno5–13-0.115%5 Mar
dust24–13-0.0520%5 Mar
dust29–13-0.098%5 Mar
inferno13–100.0110%5 Mar
inferno8–13-0.1010%4 Mar
ancient6–13-0.0616%4 Mar
dust24–13-0.044%4 Mar
nuke13–9-0.0118%4 Mar
dust213–80.0117%4 Mar
inferno13–10-0.0817%3 Mar
mirage13–7-0.0624%3 Mar
mirage5–13-0.0328%3 Mar
dust24–13-0.0714%3 Mar
inferno13–4-0.0313%1 Mar
dust213–9-0.0419%1 Mar
ancient5–13-0.0616%1 Mar
inferno13–8-0.0110%1 Mar
inferno3–13-0.0811%1 Mar
dust216–13-0.0513%17 Feb
mirage13–8-0.0618%17 Feb
mirage8–13-0.0814%17 Feb
mirage13–10-0.0413%13 Feb
dust21–13-0.047%13 Feb
dust216–13-0.0217%11 Feb
mirage2–13-0.059%11 Feb
inferno10–13-0.0711%11 Feb
ancient13–10-0.0216%10 Feb
dust213–7-0.093%10 Feb
inferno13–2-0.0112%10 Feb
dust25–13-0.1022%10 Feb
ancient13–11-0.0414%25 Jan
inferno13–9-0.029%25 Jan
inferno13–6-0.060%25 Jan

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 →