Happy Quokka

Happy Quokka — CS2 Stats

76561198813475201[U:1:853209473]Steam profile ↗✓ No bans

3,926Tracked matches41%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating19,999Top 50% of 204,097 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#81782 of 251167 tracked
FaceitLevel 7 · 1,668 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,926 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 +734 21 May – 15 Sept · 22 days played
19,26521,761peak 21,76121 May15 Sept
Faceit ELO: 1,668 +0 2 Sept – 15 Sept · 3 observations
1,6681,668peak 1,6682 Sept15 Sept
21,761Peak Premier in tracked matches
1,668Highest Faceit ELO seen on CSDB
42Days played since 2026-05-21

Faceit ELO

  • At peak — 1,668
  • Next: Level 9 at 1,751 — 83 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier CS Rating

  • 1,762 below peak (21,761)
  • -412 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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.GGHappy QuokkaFACEITLevel 7 · 1,668 ELOSTANDINGTop 42.3% of rankedPREMIER19,999 · Purple bandPEAK ELO1,668csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning52
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLWLLLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −6.5pp headshot accuracy · +55ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 638ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 671ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 644ms

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 (+2.2 against its own average).

Aim6.1
Utility7.0
Positioning5.2
Opening Duels3.4
Clutch3.6

Strong CT-side opener

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim6.1
Positioning5.2
Utility7.0
Mechanics7.4
Opening Duels3.9
Win Impact2.1

Composite 5.6/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time608ms−13ms
first ⅓ avg 621ms → last ⅓ avg 608ms
Headshot accuracy14.3%+1.9%
first ⅓ avg 12.4% → last ⅓ avg 14.3%

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

0.18Best match rating · 9–5 · vertigo, 18 Jul →
29%Best headshot accuracy · 13–5 · inferno, 31 May →
375msFastest reaction time · 9–5 · vertigo, 18 Jul →
13–0Biggest win · nuke, 27 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
7–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 74% over 19infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%0.03
infernoD216–1529%0.00
dust2S1914–574%0.00
anubisA106–460%0.00
nukeA95–456%0.02
cacheD72–529%-0.01
mirage—42–250%-0.02
overpass—41–325%-0.03
vertigo—11–0100%0.18
italy—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,872Matches
49%Win rate
0.99Avg K/D
75.2ADR
35%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient28151%1.0214.6
Inferno23950%0.9813.6
Dust220848%0.9213.6
Mirage13741%0.9513.8
Anubis9245%0.8913.6
Vertigo5652%0.9013.6
Nuke5443%1.1516.1
Overpass5345%0.9513.6

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
34.0%Accuracy (enemy spotted)
35.1%Spray accuracy
83.1%Counter-strafing
10.2°Preaim
612msReaction time
36.3%T opening success
54.7%CT opening success
0.67Enemies flashed / flash
9.6%Flash assists
10.74HE damage / grenade
10.78Flashes / 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 14.2436% — below the 15% mark we flag

    Aim Training →
  2. 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 36.3464% — 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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0115%13 Sept →
dust216–120.0412%13 Sept →
inferno6–130.0011%13 Sept →
mirage13–20.0417%1 Sept →
nuke11–130.017%1 Sept →
nuke0–13-0.065%1 Sept →
cache2–13-0.0111%1 Sept →
inferno6–130.0312%5 Aug →
ancient9–13-0.0113%27 Jul →
anubis13–50.008%22 Jul →
dust213–11-0.0413%22 Jul →
dust27–13-0.0524%22 Jul →
cache6–13-0.135%21 Jul →
ancient9–130.0614%21 Jul →
ancient10–13-0.0316%21 Jul →
ancient15–150.0222%21 Jul →
dust213–9-0.0021%21 Jul →
inferno8–130.0220%20 Jul →
ancient11–130.0116%20 Jul →
nuke10–130.0225%18 Jul →
ancient16–140.1313%18 Jul →
vertigo9–50.1820%18 Jul →
ancient13–50.0810%18 Jul →
dust213–5-0.0312%18 Jul →
cache7–130.0514%17 Jul →
dust213–110.0217%17 Jul →
inferno5–13-0.078%15 Jul →
mirage13–10-0.046%15 Jul →
anubis5–13-0.0927%15 Jul →
dust213–30.0313%14 Jul →
inferno10–130.0011%14 Jul →
ancient3–13-0.0013%13 Jul →
dust213–110.0021%12 Jul →
cache8–2-0.0513%12 Jul →
dust213–60.0327%12 Jul →
inferno8–13-0.0419%9 Jul →
ancient13–90.0413%9 Jul →
anubis13–80.0118%7 Jul →
cache10–13-0.0221%7 Jul →
ancient13–8-0.0214%6 Jul →
inferno9–13-0.0512%4 Jul →
ancient13–80.018%4 Jul →
inferno13–30.1014%3 Jul →
anubis13–110.0115%3 Jul →
ancient13–9-0.0218%2 Jul →
cache13–90.0516%2 Jul →
dust213–10-0.0413%29 Jun →
anubis13–60.1112%28 Jun →
inferno13–90.068%28 Jun →
ancient8–13-0.048%25 Jun →
nuke13–110.0114%23 Jun →
mirage10–13-0.0317%22 Jun →
anubis11–130.0113%22 Jun →
nuke13–7-0.0118%20 Jun →
nuke13–100.0511%19 Jun →
inferno11–130.0116%19 Jun →
ancient10–130.0315%19 Jun →
cache8–130.0126%18 Jun →
dust211–130.0018%18 Jun →
italy8–130.036%18 Jun →
dust29–130.029%15 Jun →
anubis9–13-0.0316%11 Jun →
inferno5–130.0224%11 Jun →
ancient13–80.0614%11 Jun →
anubis13–6-0.016%11 Jun →
overpass13–10-0.057%10 Jun →
dust29–13-0.0614%9 Jun →
inferno13–90.0819%8 Jun →
overpass10–13-0.0214%8 Jun →
ancient13–20.106%8 Jun →
anubis13–80.0211%8 Jun →
ancient13–80.1010%8 Jun →
ancient8–13-0.0518%8 Jun →
ancient6–13-0.047%7 Jun →
nuke10–00.0314%7 Jun →
overpass8–13-0.0313%7 Jun →
inferno13–40.068%7 Jun →
overpass11–13-0.0113%4 Jun →
dust210–00.019%4 Jun →
dust214–160.0116%4 Jun →
inferno8–8-0.0819%4 Jun →
ancient3–130.033%4 Jun →
dust213–8-0.0114%4 Jun →
nuke7–13-0.029%4 Jun →
ancient13–30.1111%3 Jun →
dust213–20.0818%3 Jun →
inferno6–9-0.066%3 Jun →
inferno13–50.0129%31 May →
inferno8–13-0.0710%29 May →
dust213–70.0111%29 May →
anubis10–13-0.0412%28 May →
dust213–11-0.036%28 May →
nuke13–00.1115%27 May →
ancient13–100.067%27 May →
inferno5–13-0.063%27 May →
mirage11–13-0.0416%27 May →
inferno9–5-0.0116%26 May →
inferno8–80.0216%26 May →
ancient13–80.1015%25 May →
inferno4–130.0417%21 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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