Pinquii

Pinquii — CS2 Stats

AU76561198024811424[U:1:64545696]Steam profile ↗✓ No bans

2,714Tracked matches47%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating19,103Top 50% of 212,133 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#97514 of 259041 tracked
FaceitLevel 7 · 1,348 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 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.

Rating over time

Premier CS Rating: 19,103 -72 31 Aug – 25 Oct · 19 days played
18,62520,716peak 20,71631 Aug25 Oct
Faceit ELO: 1,348 +0 31 Aug – 19 Sept · 6 observations
1,3481,348peak 1,34831 Aug19 Sept
21,117Peak Premier in tracked matches
1,348Highest Faceit ELO seen on CSDB
33Days played since 2026-08-23

Faceit ELO

  • At peak — 1,348
  • Next: Level 7 at 1,351 — 3 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

Premier CS Rating

  • 1,613 below peak (20,716)
  • -568 over 30 days · declining
  • Next: Pink band at 20,000 — 897 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-08-31

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.

Share this profile

CSDB.GGPinquiiFACEITLevel 7 · 1,348 ELOSTANDINGTop 42.3% of rankedPREMIER19,103 · Purple bandPEAK ELO1,348csdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

COLD57–40–3Last 10057%Win rateLLWWLLWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.3pp headshot accuracy · +13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 527ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 507ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 500ms

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 (+1.7 against its own average).

Aim8.5
Utility5.6
Positioning5.2
Opening Duels1.1
Clutch3.8

Sharp aimer

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 56% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim8.5
Positioning5.2
Utility5.6
Mechanics5.4
Opening Duels4.0
Win Impact3.9

Composite 6.0/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time506ms−34ms
first ⅓ avg 541ms → last ⅓ avg 506ms
Headshot accuracy18.5%+1.0%
first ⅓ avg 17.4% → last ⅓ avg 18.5%

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 · 8–0 · mirage, 26 Aug →
43%Best headshot accuracy · 13–2 · mirage, 9 Sept →
250msFastest reaction time · 0–2 · office, 29 Aug →
13–0Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 59% over 17dust2Weakest map · 50% over 26
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.01
mirageA1710–759%0.02
cacheA127–558%0.01
anubisB126–650%0.01
infernoA116–555%-0.00
ancientB105–550%-0.03
nuke—43–175%0.01
office—32–167%0.02
vertigo—33–0100%0.03
rush_001—11–0100%-0.04
train—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

397Matches
47%Win rate
1.07Avg K/D
76.8ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4252%1.1314.3
Inferno2752%1.0314.0
Anubis2357%1.1715.4
Nuke1631%1.0215.1
Dust21050%1.1515.9
Ancient838%0.8312.3
Overpass617%1.0316.8
Cache475%1.5815.8

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.

18.7%Headshot accuracy
39.8%Accuracy (enemy spotted)
42.1%Spray accuracy
74.3%Counter-strafing
9.4°Preaim
487msReaction time
55.7%T opening success
36.4%CT opening success
0.47Enemies flashed / flash
7.3%Flash assists
9.28HE damage / grenade
9.38Flashes / 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. 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 0.4693 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 36.439% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage4–130.0023%25 Oct →
mirage1–13-0.0417%25 Oct →
office13–9-0.0016%23 Oct →
inferno13–70.0315%23 Oct →
dust27–13-0.0135%23 Oct →
cache4–13-0.0517%23 Oct →
dust216–14-0.0131%23 Oct →
cache8–130.0325%22 Oct →
dust210–13-0.0111%20 Oct →
ancient1–8-0.0320%20 Oct →
mirage11–13-0.0316%20 Oct →
mirage4–13-0.0119%18 Oct →
anubis7–13-0.0411%18 Oct →
nuke8–13-0.0131%17 Oct →
mirage13–8-0.0322%17 Oct →
dust228–26-0.0118%16 Oct →
ancient13–11-0.0113%16 Oct →
anubis6–130.0518%15 Oct →
anubis13–90.0114%15 Oct →
mirage13–110.0314%15 Oct →
cache13–9-0.0218%14 Oct →
anubis6–13-0.0715%14 Oct →
cache13–80.0518%14 Oct →
anubis13–100.0422%13 Oct →
anubis14–160.0110%12 Oct →
inferno5–130.0212%12 Oct →
anubis13–30.0336%12 Oct →
dust213–8-0.0219%12 Oct →
ancient10–13-0.0312%11 Oct →
cache16–120.0219%11 Oct →
dust213–00.0816%11 Oct →
mirage11–13-0.025%10 Oct →
cache4–13-0.0421%10 Oct →
cache13–20.1119%10 Oct →
dust213–100.0114%10 Oct →
nuke13–5-0.0116%5 Oct →
ancient13–3-0.0116%5 Oct →
cache4–13-0.0218%5 Oct →
dust29–13-0.0326%5 Oct →
dust213–80.0425%30 Sept →
inferno13–90.0923%30 Sept →
cache6–130.0121%30 Sept →
anubis0–13-0.078%25 Sept →
rush_0018–6-0.0420%25 Sept →
ancient13–50.0127%20 Sept →
anubis13–50.000%20 Sept →
dust213–70.078%20 Sept →
mirage13–70.1132%20 Sept →
inferno1–13-0.0913%20 Sept →
anubis13–90.1121%19 Sept →
inferno13–8-0.0126%19 Sept →
dust28–13-0.0228%19 Sept →
train13–100.0615%18 Sept →
dust26–130.0419%18 Sept →
dust27–13-0.0431%18 Sept →
ancient11–13-0.0720%18 Sept →
mirage8–13-0.0611%18 Sept →
inferno11–130.0815%18 Sept →
ancient13–11-0.0111%16 Sept →
ancient10–130.0016%14 Sept →
vertigo13–70.0517%14 Sept →
dust213–70.0327%14 Sept →
dust214–16-0.0721%13 Sept →
inferno13–9-0.0031%10 Sept →
mirage13–40.0513%10 Sept →
vertigo13–10-0.0022%9 Sept →
inferno13–4-0.048%9 Sept →
mirage13–20.0143%9 Sept →
mirage13–5-0.0035%8 Sept →
inferno10–13-0.0324%8 Sept →
anubis13–80.0423%4 Sept →
ancient13–8-0.0326%4 Sept →
dust213–3-0.0218%4 Sept →
dust28–130.027%4 Sept →
cache13–10.003%3 Sept →
nuke13–20.0415%3 Sept →
nuke13–70.0324%2 Sept →
dust25–130.0122%2 Sept →
mirage13–110.0720%2 Sept →
dust211–130.1023%1 Sept →
anubis9–130.0718%1 Sept →
ancient6–13-0.077%1 Sept →
office0–2-0.000%29 Aug →
dust212–120.0210%29 Aug →
dust213–60.0328%28 Aug →
office13–40.0624%28 Aug →
mirage13–100.0719%28 Aug →
inferno12–12-0.0412%28 Aug →
dust213–7-0.0439%28 Aug →
dust213–6-0.0111%28 Aug →
dust25–130.0114%28 Aug →
dust28–13-0.049%26 Aug →
vertigo13–20.0621%26 Aug →
inferno13–8-0.039%26 Aug →
mirage13–90.0918%26 Aug →
mirage8–00.146%26 Aug →
cache13–60.0213%23 Aug →
cache13–30.046%23 Aug →
dust213–30.0321%23 Aug →
mirage12–12-0.056%23 Aug →

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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