Koala

Koala — CS2 Stats

76561198117692224[U:1:157426496]Steam profile ↗✓ No bans

1,119Tracked matches54%Win rate2020Tracked since
2,553Hours in CS10Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+19Tracked matches · now 1,119
+10.7ppWin rate · 42.9% → 53.6%

Rating over time

Premier CS Rating: 19,612 -1,203 24 Jun – 24 Apr · 16 days played
19,61221,828peak 21,82824 Jun24 Apr
21,828Peak Premier in tracked matches
1,800Highest Faceit ELO seen on CSDB
55Days played since 2025-06-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGKoalaPEAK ELO1,800csdb.gg/stats

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Performance scores

Aim65
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLWWWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −4.0pp headshot accuracy · +6ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 620ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 596ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 593ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.5
Utility5.2
Positioning5.5
Opening Duels2.8
Clutch2.8

Strong T-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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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 53% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 601ms 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

Aim6.5
Positioning5.5
Utility5.2
Mechanics6.7
Opening Duels3.0
Win Impact6.2

Composite 5.8/10 (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 time604ms−34ms
first ⅓ avg 638ms → last ⅓ avg 604ms
Headshot accuracy21.7%−1.8%
first ⅓ avg 23.5% → last ⅓ avg 21.7%

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

0.30Best match rating · 13–4 · anubis, 30 Jan →
50%Best headshot accuracy · 13–11 · ancient, 14 Mar →
438msFastest reaction time · 13–3 · overpass, 5 Aug →
13–2Biggest win · anubis, 12 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–8In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 76% over 17infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
ancientC218–1338%0.01
dust2A1810–856%0.01
nukeS1713–476%0.03
infernoD143–1121%-0.00
mirageD113–827%0.01
overpassB105–550%0.00
anubisA74–357%0.04
cache—11–0100%0.04
office—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,399Lifetime kills
1.40K/D · Top 10% of tracked players
3,131Matches
49.6%Match win rate · Top 25% of tracked players
51.1%Headshot % · Top 25% of tracked players
13.5%Shot accuracy · Top 50% of tracked players
9,174MVPs
1,510Hours (in match)
3,519Bombs planted
1,091Bombs defused

Most-used weapons

AK-4740,335
AWP9,916
P2502,028
Knife1,260
FAMAS1,125

Lifetime map wins

7,375dust2
5,449inferno
3,662nuke
1,633train
1,365vertigo
347cbble
102office
46aztec

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

Faceit stats

Combat

549Matches
52%Win rate
1.23Avg K/D
79.8ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1464%1.0917.0
Inferno1267%1.0515.9
Dust21090%1.3117.1
Anubis786%0.8611.3
Ancient667%1.5616.2
Mirage333%0.8411.7
Train2100%1.8222.5
Vertigo1100%0.8815.0

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.

21.4%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.2%Spray accuracy
80.2%Counter-strafing
9.5°Preaim
601msReaction time
52.7%T opening success
31.6%CT opening success
0.54Enemies flashed / flash
9.7%Flash assists
7.95HE damage / grenade
10.23Flashes / 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 31.5899% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–160.0128%3 Nov →
dust29–13-0.0225%3 Nov →
mirage13–7-0.0026%1 Nov →
inferno16–14-0.0719%29 Oct →
nuke13–30.0826%27 Oct →
ancient4–13-0.088%27 Oct →
dust213–160.0021%20 Oct →
dust213–90.0214%14 Oct →
mirage11–13-0.039%12 Oct →
dust213–80.059%12 Oct →
dust213–60.0223%23 Sept →
ancient10–13-0.0130%17 Sept →
inferno15–150.0136%11 Sept →
cache13–80.0427%11 Sept →
dust213–60.0520%18 Aug →
ancient13–100.0418%18 Aug →
inferno10–130.0213%14 Aug →
ancient11–130.0719%4 Aug →
anubis13–60.1018%24 Apr →
inferno8–130.0521%24 Apr →
overpass13–110.0631%12 Apr →
anubis13–20.1025%12 Apr →
inferno13–6-0.0120%6 Apr →
ancient13–60.0521%6 Apr →
nuke13–80.0227%6 Apr →
inferno15–15-0.0515%24 Mar →
nuke6–130.0320%22 Mar →
ancient11–13-0.0612%22 Mar →
mirage13–160.0235%21 Mar →
anubis10–13-0.0020%21 Mar →
inferno4–130.0120%15 Mar →
dust23–13-0.0812%15 Mar →
ancient13–110.0450%14 Mar →
nuke16–130.0621%14 Mar →
inferno11–130.0026%14 Mar →
inferno6–130.0219%7 Mar →
ancient16–130.0319%7 Mar →
dust29–130.0428%7 Mar →
mirage7–130.0823%7 Mar →
ancient8–130.0528%4 Mar →
anubis3–13-0.0721%4 Mar →
ancient8–130.0628%22 Feb →
ancient13–11-0.0315%5 Feb →
ancient13–60.0526%30 Jan →
anubis13–40.3027%30 Jan →
ancient8–13-0.0427%16 Dec →
nuke13–70.0216%28 Nov →
ancient15–15-0.0111%27 Nov →
nuke13–40.0418%27 Nov →
nuke2–6-0.060%13 Nov →
overpass7–13-0.0126%13 Nov →
dust213–8-0.0220%2 Nov →
overpass13–16-0.0014%31 Oct →
mirage13–11-0.0411%31 Oct →
inferno15–150.0117%29 Oct →
ancient9–13-0.0017%29 Oct →
overpass9–13-0.019%28 Oct →
nuke16–14-0.056%28 Oct →
inferno11–130.0216%28 Oct →
dust21–13-0.0423%28 Oct →
inferno16–12-0.0313%27 Oct →
mirage5–13-0.0217%25 Oct →
dust213–5-0.017%25 Oct →
overpass13–100.0216%19 Oct →
mirage8–130.0524%19 Oct →
mirage12–16-0.0223%13 Oct →
overpass13–110.0112%13 Oct →
inferno6–130.0217%12 Oct →
nuke9–13-0.0021%12 Oct →
mirage11–13-0.0129%25 Sept →
dust213–40.0527%25 Sept →
ancient2–13-0.0738%25 Sept →
overpass13–90.0225%14 Sept →
nuke13–11-0.0223%4 Sept →
overpass11–13-0.0521%3 Sept →
nuke13–60.0729%1 Sept →
ancient15–15-0.0320%27 Aug →
dust213–8-0.0419%26 Aug →
nuke14–16-0.0120%21 Aug →
ancient15–150.0122%21 Aug →
mirage8–13-0.0130%21 Aug →
dust29–130.0015%5 Aug →
overpass13–30.0313%5 Aug →
nuke13–70.1125%5 Aug →
overpass6–13-0.0423%31 Jul →
nuke13–60.0533%31 Jul →
ancient13–40.0232%31 Jul →
mirage13–50.1030%31 Jul →
dust26–13-0.0221%31 Jul →
nuke13–100.0018%7 Jul →
dust213–100.0319%29 Jun →
ancient13–40.0231%29 Jun →
nuke16–130.0618%29 Jun →
office13–10-0.0518%27 Jun →
anubis13–4-0.1218%27 Jun →
nuke13–110.1023%26 Jun →
dust28–130.0124%26 Jun →
inferno13–160.0116%25 Jun →
dust213–100.0521%25 Jun →
anubis7–13-0.0338%24 Jun →

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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