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Coobleans

Coobleans — CS2 Stats

76561198041080055[U:1:80814327]Steam profile ↗

466Tracked matches33%Win rate2020Tracked since
2,822Hours in CS
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCoobleansFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning56
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateLWWWLLLWWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.3
Aggression4.8
Utility6.8
Positioning5.6
Opening Duels1.2
Clutch0.6

Excellent counter-strafingStrong 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.

Your pro match

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 46% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.3
Positioning5.6
Utility6.8
Mechanics8.7
Opening Duels2.1
Win Impact0.0

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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time594ms−53ms
first ⅓ avg 647ms → last ⅓ avg 594ms
Headshot accuracy18.8%+2.7%
first ⅓ avg 16.1% → last ⅓ avg 18.8%

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.

Highlights

0.08Best rating — overpass 13–6
13–0Biggest win — inferno
4Longest win streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.01
mirageD244–2017%-0.02
nukeA116–555%-0.02
overpassS118–373%-0.00
infernoD93–633%-0.02
ancientD91–811%-0.04
cacheS54–180%0.01
anubis—21–150%-0.05
train—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,371Lifetime kills
0.83K/D
4,201Matches
44.3%Match win rate
46.0%Headshot %
16.7%Shot accuracy · Top 25% of tracked players
8,843MVPs
2,822Hours (in match)
10,456Bombs planted
1,249Bombs defused

Most-used weapons

AK-4742,855
M4A4 / M4A1-S19,931
P2000 / USP-S7,340
Glock-185,261
AWP4,980
P2503,222
Desert Eagle3,007
FAMAS2,912
UMP-452,510
SG 5532,225

Lifetime map wins

12,769dust2
8,943inferno
3,955cbble
3,413train
1,928nuke
825vertigo
61lake
18bank

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

Faceit stats

Combat

310Matches
53%Win rate
0.90Avg K/D
61.9ADR
39%Headshot %

Clutches & streaks

23%1v1 clutch win
35%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1346%0.8111.8
Dust21362%0.8213.7
Anubis667%0.9113.2
Inferno580%1.0612.6
Train367%0.8113.7
Ancient250%0.8114.5

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.

18.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.4%Spray accuracy
89.2%Counter-strafing
11.3°Preaim
595msReaction time
22.9%T opening success
46.5%CT opening success
0.65Enemies flashed / flash
9.5%Flash assists
10.75HE damage / grenade
14.00Flashes / 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

    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 22.9354% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0211%28 Aug →
nuke13–11-0.0022%25 Aug →
inferno13–00.0829%25 Aug →
dust213–50.0220%25 Aug →
nuke7–13-0.0329%24 Aug →
mirage14–16-0.0217%24 Aug →
dust210–13-0.0128%24 Aug →
inferno13–5-0.0720%23 Aug →
dust213–7-0.0238%23 Aug →
mirage3–13-0.0727%21 Aug →
mirage8–13-0.0521%21 Aug →
dust26–130.0019%26 Jul →
cache13–11-0.0014%19 Jul →
mirage11–13-0.0614%30 Jun →
mirage8–130.0618%23 Jun →
dust29–130.0322%22 Jun →
dust213–100.0327%21 Jun →
ancient2–13-0.0714%19 Jun →
inferno13–8-0.0411%19 Jun →
mirage6–13-0.058%18 Jun →
dust24–130.0010%18 Jun →
overpass16–14-0.0014%16 Jun →
inferno6–13-0.0119%13 Jun →
dust210–13-0.0821%13 Jun →
ancient3–13-0.0216%13 Jun →
nuke7–13-0.0813%13 Jun →
dust28–13-0.0611%13 Jun →
mirage12–160.0713%10 Jun →
anubis9–13-0.0320%29 May →
dust213–11-0.0214%24 May →
nuke13–70.0523%18 May →
ancient12–160.0318%17 May →
dust213–40.0720%17 May →
mirage5–13-0.0314%17 May →
inferno7–13-0.0615%17 May →
ancient10–13-0.0612%14 May →
overpass5–13-0.0313%13 May →
mirage9–130.0117%13 May →
anubis13–8-0.0713%10 May →
mirage10–13-0.0018%10 May →
ancient8–13-0.069%10 May →
dust215–15-0.0415%7 May →
inferno10–13-0.0112%6 May →
nuke16–12-0.039%5 May →
mirage13–60.0218%1 May →
dust211–13-0.0025%1 May →
cache13–5-0.0110%1 May →
overpass10–13-0.0611%30 Apr →
dust29–13-0.0611%30 Apr →
cache13–8-0.0213%29 Apr →
cache13–30.0513%29 Apr →
cache7–130.0118%29 Apr →
dust23–8-0.0417%29 Apr →
overpass13–30.0229%28 Apr →
dust26–13-0.085%27 Apr →
mirage3–13-0.078%27 Apr →
ancient8–13-0.0514%27 Apr →
dust216–12-0.0318%25 Apr →
mirage9–13-0.008%25 Apr →
dust28–13-0.055%25 Apr →
overpass13–100.0116%23 Apr →
inferno7–13-0.0220%23 Apr →
dust27–20.0324%23 Apr →
mirage8–13-0.0225%22 Apr →
ancient2–13-0.0814%22 Apr →
nuke13–9-0.009%21 Apr →
dust213–10-0.0221%21 Apr →
dust26–13-0.0224%16 Apr →
nuke13–7-0.0118%28 Mar →
mirage13–7-0.0519%27 Mar →
inferno10–13-0.0315%27 Mar →
overpass8–13-0.009%26 Mar →
dust213–90.0514%26 Mar →
nuke11–13-0.0119%24 Mar →
mirage10–13-0.0422%23 Mar →
dust28–13-0.0419%23 Mar →
mirage16–13-0.0212%12 Mar →
dust216–140.0416%10 Mar →
ancient6–1-0.0125%10 Mar →
mirage13–50.027%10 Mar →
nuke4–13-0.0517%20 Dec →
dust28–130.0117%20 Dec →
nuke9–13-0.1012%10 Dec →
overpass13–70.0014%5 Dec →
mirage6–130.0123%4 Dec →
nuke13–80.0317%3 Dec →
train2–13-0.0819%18 Nov →
dust26–13-0.0717%7 Nov →
mirage7–13-0.0713%6 Nov →
inferno11–13-0.0219%31 Oct →
mirage6–13-0.0511%31 Oct →
mirage9–13-0.0422%24 Sept →
overpass13–20.0414%24 Sept →
ancient11–13-0.048%17 Sept →
dust213–9-0.0321%17 Sept →
overpass13–11-0.036%17 Sept →
overpass13–60.0828%30 Jul →
mirage15–15-0.0413%24 Jul →
overpass13–10-0.043%23 Jul →
dust213–80.0419%23 Jul →

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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