coco — CS2 Stats

ES76561198050087685[U:1:89821957]Steam profile ↗✓ No bans

2,067Tracked matches61%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,115Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#21258 of 57628 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning50

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateWLLLTWWWLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression6.9

Utility5.9

Positioning5.0

Opening Duels3.1

Clutch2.4

Excellent counter-strafingStrong CT-side openerLimited 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.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim7.5

Positioning5.0

Utility5.9

Mechanics8.6

Opening Duels3.1

Win Impact8.6

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time644ms−37ms

first ⅓ avg 681ms → last ⅓ avg 644ms

Headshot accuracy18.8%+2.5%

first ⅓ avg 16.3% → 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

0.11Best rating — inferno 13–2

13–1Biggest win — inferno

5Longest win streak

7–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	40	20–20	50%	-0.04
ancient	A	19	11–8	58%	-0.03
anubis	S	15	10–5	67%	-0.00
cache	D	12	4–8	33%	-0.02
dust2	D	10	3–7	30%	-0.02
mirage	—	3	1–2	33%	-0.01
nuke	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

435Matches

50%Win rate

0.92Avg K/D

73.7ADR

48%Headshot %

Clutches & streaks

32%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	58	66%	1.08	15.1
Dust2	58	53%	0.87	13.5
Ancient	55	45%	0.85	14.2
Anubis	46	48%	0.88	13.7
Mirage	30	40%	0.95	13.9
Nuke	16	50%	0.89	12.4
Vertigo	8	62%	0.98	14.4
Cache	6	33%	0.77	13.0

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.

16.9%Headshot accuracy

43.2%Accuracy (enemy spotted)

40.6%Spray accuracy

88.7%Counter-strafing

12.4°Preaim

657msReaction time

31.6%T opening success

53.0%CT opening success

0.66Enemies flashed / flash

4.0%Flash assists

13.10HE damage / grenade

4.58Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.39° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.04	20%	30 Aug →
inferno	10–13	0.01	10%	30 Aug →
inferno	14–16	0.00	15%	30 Aug →
ancient	11–13	-0.09	15%	29 Aug →
inferno	15–15	-0.01	13%	29 Aug →
inferno	13–9	-0.08	23%	27 Aug →
cache	13–10	-0.01	21%	27 Aug →
ancient	16–12	-0.00	20%	27 Aug →
inferno	3–9	-0.17	36%	27 Aug →
anubis	13–10	-0.01	18%	26 Aug →
mirage	13–10	0.01	13%	26 Aug →
inferno	9–4	-0.02	21%	26 Aug →
anubis	13–9	0.02	19%	25 Aug →
ancient	15–15	-0.03	16%	25 Aug →
anubis	13–8	0.01	16%	25 Aug →
inferno	13–4	0.02	26%	23 Aug →
anubis	5–13	-0.03	18%	23 Aug →
inferno	13–3	-0.03	20%	23 Aug →
mirage	11–13	-0.03	17%	22 Aug →
dust2	5–13	-0.01	28%	22 Aug →
dust2	5–13	0.00	21%	22 Aug →
anubis	5–13	-0.04	6%	22 Aug →
anubis	13–11	0.00	13%	22 Aug →
dust2	13–3	-0.03	21%	22 Aug →
inferno	6–9	-0.08	24%	21 Aug →
inferno	8–8	-0.07	21%	21 Aug →
anubis	16–14	0.02	13%	20 Aug →
inferno	13–8	-0.04	16%	20 Aug →
ancient	10–13	-0.06	18%	20 Aug →
dust2	11–13	0.01	24%	20 Aug →
inferno	13–11	-0.02	14%	20 Aug →
inferno	9–4	-0.04	24%	20 Aug →
inferno	9–5	0.05	22%	20 Aug →
inferno	4–9	-0.09	23%	20 Aug →
inferno	7–9	-0.03	25%	20 Aug →
inferno	5–9	-0.12	33%	20 Aug →
inferno	9–13	-0.03	15%	19 Aug →
inferno	9–6	-0.00	22%	19 Aug →
anubis	13–11	-0.03	14%	11 Aug →
cache	13–9	-0.02	14%	11 Aug →
cache	7–13	-0.02	9%	10 Aug →
cache	16–13	-0.01	24%	10 Aug →
dust2	13–8	-0.02	27%	10 Aug →
inferno	13–2	0.11	13%	10 Aug →
inferno	4–13	-0.07	32%	9 Aug →
dust2	7–13	-0.05	12%	9 Aug →
inferno	13–9	-0.03	11%	9 Aug →
ancient	13–5	0.06	10%	9 Aug →
ancient	13–11	-0.05	14%	9 Aug →
ancient	15–15	0.05	25%	8 Aug →
anubis	16–13	0.03	17%	8 Aug →
inferno	8–8	-0.12	13%	8 Aug →
cache	13–6	-0.04	26%	7 Aug →
dust2	10–13	-0.03	27%	7 Aug →
ancient	16–13	-0.01	11%	7 Aug →
anubis	13–9	-0.03	10%	7 Aug →
dust2	5–13	0.03	24%	7 Aug →
inferno	15–15	-0.00	8%	6 Aug →
cache	8–13	-0.01	17%	6 Aug →
inferno	9–13	-0.07	15%	6 Aug →
ancient	13–2	0.02	26%	6 Aug →
cache	9–13	-0.01	16%	6 Aug →
inferno	8–13	0.02	16%	5 Aug →
cache	11–13	-0.04	12%	5 Aug →
ancient	5–13	-0.05	27%	5 Aug →
ancient	15–15	-0.07	32%	5 Aug →
inferno	9–6	0.07	11%	5 Aug →
dust2	13–7	-0.01	12%	4 Aug →
inferno	13–8	0.09	14%	4 Aug →
inferno	13–10	-0.06	10%	4 Aug →
anubis	13–7	0.02	14%	4 Aug →
inferno	10–13	-0.04	6%	3 Aug →
cache	7–13	-0.09	27%	3 Aug →
inferno	13–1	0.04	30%	3 Aug →
inferno	13–9	-0.02	8%	3 Aug →
anubis	13–8	0.01	10%	2 Aug →
dust2	11–13	-0.10	21%	2 Aug →
inferno	13–2	-0.01	14%	1 Aug →
ancient	16–14	-0.03	11%	1 Aug →
anubis	11–13	0.03	14%	1 Aug →
anubis	8–13	-0.06	23%	1 Aug →
ancient	11–13	-0.05	9%	31 Jul →
anubis	10–13	-0.01	20%	31 Jul →
inferno	8–13	-0.04	3%	31 Jul →
ancient	13–11	-0.03	15%	30 Jul →
cache	7–13	-0.02	13%	30 Jul →
ancient	13–8	-0.06	20%	30 Jul →
cache	15–15	-0.00	17%	29 Jul →
inferno	13–4	0.00	15%	29 Jul →
ancient	9–13	-0.06	15%	29 Jul →
ancient	13–7	-0.03	17%	29 Jul →
inferno	2–9	-0.29	33%	29 Jul →
mirage	6–13	-0.03	9%	29 Jul →
ancient	13–9	-0.07	6%	28 Jul →
inferno	8–13	-0.04	15%	28 Jul →
cache	11–13	-0.02	34%	28 Jul →
inferno	13–8	-0.02	25%	28 Jul →
nuke	9–13	-0.10	21%	28 Jul →
inferno	4–9	-0.12	25%	28 Jul →
inferno	13–10	-0.08	11%	27 Jul →