Just Coala

Just Coala — CS2 Stats

76561198141290581[U:1:181024853]Steam profile ↗✓ No bans

841Tracked matches61%Win rate2020Tracked since
1,900Hours in CS3Hrs last 2 wks
CSDB Rating6.5 SolidOpening Duellist
CSDB Leaderboard#30101 of 251430 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,748 → 1,748
+31Tracked matches · now 841
0.0ppWin rate · 60.7% → 60.7%

Rating over time

Premier CS Rating: 24,115 +613 16 May – 2 Sept · 11 days played
23,50224,999peak 24,99916 May2 Sept
24,999Peak Premier in tracked matches
1,748Highest Faceit ELO seen on CSDB
39Days played since 2026-05-08

Faceit ELO

  • At peak — 1,748
  • Next: Level 9 at 1,751 — 3 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 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches29——
Win rate52%——
K/D1.26——
Headshot %45%——

Measured 8 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGJust CoalaPEAK ELO1,748csdb.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

Aim78
Positioning68
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateLWWWWLWTWL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −4.4pp headshot accuracy · −55ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 491ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 509ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.8
Utility4.5
Positioning6.8
Opening Duels7.3
Clutch3.0

Limited utility dependence

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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.8
Positioning6.8
Utility4.5
Mechanics6.2
Opening Duels6.6
Win Impact8.6

Composite 6.5/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time523ms−77ms
first ⅓ avg 599ms → last ⅓ avg 523ms
Headshot accuracy14.4%+1.2%
first ⅓ avg 13.3% → 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.

Personal bests

0.16Best match rating · 13–2 · nuke, 14 Jul →
35%Best headshot accuracy · 6–0 · nuke, 4 Sept →
367msFastest reaction time · 13–2 · nuke, 22 Aug →
13–1Biggest win · cache, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 65% over 23ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA3622–1461%0.01
nukeS2315–865%0.02
infernoC188–1044%-0.00
mirageB115–645%0.02
ancientD62–433%-0.01
overpass—43–175%-0.01
anubis—11–0100%0.05
dust2—10–10%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

55,494Lifetime kills
1.15K/D · Top 25% of tracked players
2,606Matches
52.2%Match win rate · Top 10% of tracked players
42.7%Headshot %
14.8%Shot accuracy · Top 50% of tracked players
7,027MVPs
1,148Hours (in match)
2,742Bombs planted
564Bombs defused

Most-used weapons

AK-4714,894
AWP4,801
MP73,573
FAMAS2,303
Tec-92,255
P902,134

Lifetime map wins

5,174dust2
4,079nuke
3,921inferno
787vertigo
621cbble
564train
140office
14aztec

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

Faceit stats

Combat

120Matches
58%Win rate
1.36Avg K/D
96.3ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2045%1.1618.1
Inferno1963%1.3719.4
Nuke1567%1.6020.3
Overpass1275%2.0820.0
Mirage1155%0.9518.7
Anubis825%1.1816.5
Dust2450%1.7617.8
Cache333%0.9415.7

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.

14.6%Headshot accuracy
38.7%Accuracy (enemy spotted)
42.1%Spray accuracy
77.9%Counter-strafing
9.9°Preaim
523msReaction time
58.2%T opening success
55.0%CT opening success
0.51Enemies flashed / flash
5.0%Flash assists
9.03HE damage / grenade
2.53Flashes / 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 14.5734% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5321 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache0–3-0.150%26 Sept →
inferno13–100.0216%26 Sept →
anubis13–80.0515%26 Sept →
inferno13–60.009%21 Sept →
nuke13–70.0120%21 Sept →
ancient9–13-0.0020%21 Sept →
inferno13–20.0512%20 Sept →
nuke12–120.0616%20 Sept →
nuke13–100.029%18 Sept →
nuke9–13-0.0013%16 Sept →
nuke2–60.0215%16 Sept →
inferno10–13-0.0315%14 Sept →
nuke13–60.0416%14 Sept →
inferno15–150.0815%12 Sept →
mirage13–100.1514%12 Sept →
inferno13–80.0524%11 Sept →
inferno9–130.0212%11 Sept →
nuke8–13-0.0619%11 Sept →
nuke6–00.1235%4 Sept →
overpass13–20.058%2 Sept →
inferno9–13-0.078%2 Sept →
nuke13–110.0210%2 Sept →
mirage8–130.0115%24 Aug →
nuke13–30.1017%24 Aug →
overpass13–5-0.0012%22 Aug →
inferno8–13-0.028%22 Aug →
nuke13–2-0.0120%22 Aug →
cache9–130.0311%12 Aug →
overpass13–8-0.0415%12 Aug →
nuke13–40.0321%12 Aug →
nuke13–20.1612%14 Jul →
cache13–80.0213%29 Jun →
nuke11–13-0.0311%29 Jun →
nuke13–30.1215%26 Jun →
overpass0–3-0.030%26 Jun →
inferno10–13-0.1011%26 Jun →
mirage10–130.0711%23 Jun →
nuke13–7-0.0112%21 Jun →
inferno10–13-0.007%21 Jun →
nuke3–13-0.057%21 Jun →
cache13–100.0018%12 Jun →
nuke13–5-0.058%12 Jun →
inferno13–40.0317%12 Jun →
inferno13–110.0515%6 Jun →
cache12–120.0319%6 Jun →
mirage13–110.0010%5 Jun →
cache13–1-0.0015%5 Jun →
nuke13–1-0.0114%5 Jun →
inferno10–13-0.0620%5 Jun →
inferno6–130.0117%3 Jun →
cache13–90.0118%31 May →
cache12–120.0311%31 May →
nuke7–130.0411%28 May →
mirage7–13-0.0113%28 May →
ancient13–60.0418%27 May →
mirage10–130.0214%27 May →
inferno13–10-0.0118%27 May →
inferno13–100.0214%25 May →
ancient13–11-0.0114%25 May →
ancient10–13-0.046%24 May →
nuke13–7-0.0014%24 May →
cache13–110.0011%24 May →
inferno14–16-0.0714%22 May →
dust25–13-0.0721%22 May →
ancient7–13-0.096%22 May →
mirage6–13-0.0525%21 May →
mirage13–100.0416%18 May →
ancient4–130.0617%18 May →
nuke13–20.0314%18 May →
cache13–50.0010%17 May →
cache13–8-0.0123%17 May →
mirage3–13-0.0018%17 May →
nuke11–13-0.0312%17 May →
mirage13–11-0.0511%17 May →
mirage13–4-0.0210%16 May →
cache13–20.1210%14 May →
cache13–70.0712%14 May →
cache13–50.0610%14 May →
cache11–20.0510%14 May →
cache2–13-0.0413%13 May →
cache10–13-0.0210%13 May →
cache13–40.0216%13 May →
cache12–120.0111%13 May →
cache0–8-0.060%12 May →
cache12–120.0414%12 May →
cache13–100.0715%12 May →
cache13–8-0.037%12 May →
cache12–12-0.0220%11 May →
cache13–110.037%10 May →
cache6–130.0319%10 May →
cache13–30.0430%10 May →
cache5–13-0.039%10 May →
cache13–100.0412%10 May →
cache12–12-0.0226%10 May →
cache13–100.0118%9 May →
cache13–11-0.0212%9 May →
cache13–3-0.020%8 May →
cache7–13-0.0319%8 May →
cache13–3-0.0110%8 May →
cache13–80.0013%8 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.