Pukijas 쌀

Pukijas 쌀 — CS2 Stats

AR76561198395456819[U:1:435191091]Steam profile ↗✓ No bans

431Tracked matches31%Win rate2021Tracked since
906Hours in CS6Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
FaceitLevel 5 · 969 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 969 → 969
+23Tracked matches · now 431
−21.1ppWin rate · 51.8% → 30.8%

Rating over time

Premier CS Rating: 12,898 -560 30 Jun – 1 Jul · 2 days played
12,89813,458peak 13,45830 Jun1 Jul
Faceit ELO: 969 +0 6 Sept – 23 Sept · 3 observations
969969peak 9696 Sept23 Sept
14,574Peak Premier in tracked matches
969Highest Faceit ELO seen on CSDB
46Days played since 2026-04-18

Faceit ELO

  • At peak — 969
  • Next: Level 5 at 1,051 — 82 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-06
  • Level 3 first seen 2026-09-06

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 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 rate44.8%43.8%44.8%meets
Shot accuracy3.6%12.0%12.4%8.8% short
Kill/death ratio1.041.021.03meets
Match win rate46.6%44.7%45.2%above

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

Widest gap: Shot accuracy. 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.GGPukijas 쌀FACEITLevel 5 · 969 ELOSTANDINGTop 67.6% of rankedPEAK ELO969csdb.gg/stats

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Performance scores

Aim58
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateTLLLWTLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +49ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • 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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim5.8
Utility5.9
Positioning5.8
Opening Duels0.0
Clutch3.6

Strong T-side openerEffective flashes

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

iM

Plays most like iM 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

CT openings. Opening success drops from 45% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim5.8
Positioning5.8
Utility5.9
Mechanics5.3
Opening Duels1.9
Win Impact0.0

Composite 4.3/10 (Developing), 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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time568ms−95ms
first ⅓ avg 663ms → last ⅓ avg 568ms
Headshot accuracy17.6%−1.7%
first ⅓ avg 19.3% → last ⅓ avg 17.6%

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

0.16Best match rating · 13–5 · ancient, 2 Jun →
39%Best headshot accuracy · 12–12 · dust2, 12 Aug →
438msFastest reaction time · 13–11 · train, 2 Oct →
13–0Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 71% over 17dust2Weakest map · 30% over 33
MapGradePlayedRecordWin rateAvg rating
dust2D3310–2330%0.00
mirageD196–1332%0.01
nukeS1712–571%0.03
cacheA117–464%0.03
anubisA95–456%0.03
train—31–233%0.05
vertigo—21–150%-0.03
ancient—21–150%0.11
inferno—21–150%0.05
overpass—10–10%-0.00
office—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,552Lifetime kills
1.04K/D · Top 50% of Level 5 players
1,683Matches
46.6%Match win rate · Top 50% of Level 5 players
44.8%Headshot % · Top 50% of Level 5 players
3.6%Shot accuracy
2,866MVPs
556Hours (in match)
1,385Bombs planted
416Bombs defused

Most-used weapons

Lifetime map wins

5,258dust2
1,663nuke
1,122inferno
286train
262vertigo
132office
40italy
36safehouse

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

Faceit stats

Combat

82Matches
49%Win rate
0.93Avg K/D
65.0ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22450%1.0213.8
Mirage2030%0.7212.2
Nuke1553%0.8412.1
Anubis1369%1.0914.4
Cache650%1.4015.5
Vertigo250%0.6612.5
Inferno1100%0.7613.0
Overpass10%0.335.0

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.

18.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.4%Spray accuracy
73.9%Counter-strafing
10.5°Preaim
574msReaction time
45.5%T opening success
21.5%CT opening success
0.71Enemies flashed / flash
7.9%Flash assists
2.44HE damage / grenade
25.80Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 21.532% — 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.

30% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–120.0415%13 Nov →
dust24–13-0.0113%13 Nov →
nuke11–13-0.0017%13 Nov →
anubis5–13-0.049%12 Nov →
dust213–100.0719%12 Nov →
dust212–120.0516%4 Nov →
mirage4–130.0714%4 Nov →
cache7–130.0312%4 Nov →
cache5–13-0.0124%4 Nov →
dust210–130.0513%28 Oct →
dust212–120.0417%18 Oct →
mirage13–11-0.0118%16 Oct →
dust27–13-0.0314%15 Oct →
dust24–13-0.0118%15 Oct →
train8–130.0623%10 Oct →
mirage13–70.0417%10 Oct →
dust212–12-0.0214%8 Oct →
dust27–13-0.0121%8 Oct →
dust213–70.0719%2 Oct →
mirage10–130.0222%2 Oct →
mirage1–13-0.0915%2 Oct →
dust213–110.0413%2 Oct →
train13–110.0727%2 Oct →
nuke3–13-0.0324%17 Sept →
anubis7–130.0321%17 Sept →
nuke13–60.0224%10 Sept →
mirage5–130.0116%9 Sept →
dust28–13-0.0511%9 Sept →
nuke13–60.0732%2 Sept →
nuke11–13-0.0527%2 Sept →
mirage12–16-0.0410%27 Aug →
mirage13–100.0410%24 Aug →
mirage12–120.0016%22 Aug →
anubis13–40.0933%22 Aug →
mirage14–16-0.0524%21 Aug →
dust213–16-0.0118%21 Aug →
nuke6–1-0.0225%21 Aug →
dust216–14-0.0429%15 Aug →
dust213–50.0629%15 Aug →
nuke13–10-0.0917%15 Aug →
anubis6–130.0015%12 Aug →
dust212–120.0039%12 Aug →
dust213–7-0.0328%12 Aug →
nuke13–30.1029%12 Aug →
nuke13–11-0.0317%11 Aug →
vertigo10–13-0.037%11 Aug →
vertigo16–13-0.0212%8 Aug →
mirage0–13-0.0612%7 Aug →
mirage12–120.0929%6 Aug →
dust27–130.0127%6 Aug →
anubis13–60.0520%1 Aug →
nuke7–60.0412%29 Jul →
mirage7–130.0715%29 Jul →
mirage4–130.0423%25 Jul →
anubis13–90.0216%25 Jul →
dust20–2-0.090%25 Jul →
mirage13–11-0.0327%25 Jul →
cache13–50.0423%25 Jul →
nuke13–80.0125%22 Jul →
anubis13–30.0226%22 Jul →
anubis13–20.029%10 Jul →
dust213–00.0739%10 Jul →
dust26–13-0.0216%10 Jul →
dust22–9-0.0929%8 Jul →
nuke5–13-0.0816%8 Jul →
cache13–9-0.0329%8 Jul →
dust213–16-0.0221%1 Jul →
cache10–130.0418%1 Jul →
nuke7–130.0420%30 Jun →
dust28–130.0124%30 Jun →
dust213–70.0825%30 Jun →
overpass11–13-0.0019%27 Jun →
office13–80.0726%27 Jun →
nuke13–90.0921%22 Jun →
dust28–13-0.0810%22 Jun →
ancient3–130.0615%22 Jun →
inferno9–40.0923%20 Jun →
nuke9–40.0816%20 Jun →
dust27–130.0819%12 Jun →
nuke13–90.1422%12 Jun →
train7–130.0332%12 Jun →
ancient13–50.1622%2 Jun →
dust22–13-0.1126%2 Jun →
cache13–110.0614%2 Jun →
dust213–1-0.0322%22 May →
mirage13–20.0426%14 May →
mirage9–130.0125%14 May →
nuke13–90.1628%14 May →
mirage7–130.0114%9 May →
dust26–130.0315%9 May →
inferno7–130.0121%6 May →
cache13–80.039%6 May →
dust210–130.0318%3 May →
cache13–8-0.0110%3 May →
cache13–20.1413%1 May →
cache6–130.0816%1 May →
cache13–80.0214%30 Apr →
dust213–3-0.0023%24 Apr →
dust29–13-0.0317%24 Apr →
mirage16–130.0313%18 Apr →

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 →

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