Coco — CS2 Stats

FI76561198346274563[U:1:386008835]Steam profile ↗✓ No bans

3,032Tracked matches40%Win rate2020Tracked since

CSDB Rating4.5 DevelopingPositional Player

Premier CS Rating7,433Light Blue band · top ~67.2% of ranked players (population est.)

CSDB Leaderboard#188881 of 251271 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,433 -1,466 1 Sept – 11 Oct · 19 days played

11,123Peak Premier in tracked matches

18Days played since 2026-09-01

Premier CS Rating

2,828 below peak (10,261)
-2,522 over 30 days · declining
Next: Blue band at 10,000 — 2,567 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-20
Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim78

Positioning37

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY36–61–3Last 10036%Win rateLWLWWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.7pp headshot accuracy · +28ms 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 -0.03
Avg headshot accuracy 25%
Avg reaction 620ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 22%
Avg reaction 609ms

Last 20

8–12 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 19%
Avg reaction 595ms

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 (+1.2 against its own average).

Aim7.8

Utility3.2

Positioning3.7

Opening Duels0.5

Clutch2.8

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

Plays most like sh1ro 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

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

Aim7.8

Positioning3.7

Utility3.2

Mechanics7.4

Opening Duels1.1

Win Impact1.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time619ms−10ms

first ⅓ avg 629ms → last ⅓ avg 619ms

Headshot accuracy21.1%−6.5%

first ⅓ avg 27.6% → last ⅓ avg 21.1%

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

0.07Best match rating · 13–9 · nuke, 19 Sept →

55%Best headshot accuracy · 13–3 · dust2, 28 Sept →

438msFastest reaction time · 4–13 · inferno, 19 Sept →

13–2Biggest win · cache, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 50% over 14infernoWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	8–15	35%	-0.06
nuke	B	14	7–7	50%	-0.03
ancient	C	14	5–9	36%	-0.06
inferno	D	13	2–11	15%	-0.04
cache	B	13	6–7	46%	-0.06
mirage	C	11	4–7	36%	-0.03
anubis	D	10	3–7	30%	-0.03
train	—	1	0–1	0%	-0.12
fachwerk	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

816Matches

50%Win rate

0.86Avg K/D

65.1ADR

50%Headshot %

Clutches & streaks

34%1v1 clutch win

13%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	96	49%	0.86	12.3
Inferno	59	63%	0.98	13.4
Nuke	49	45%	0.78	11.7
Ancient	39	56%	0.89	13.2
Anubis	37	38%	0.73	10.4
Dust2	27	56%	0.89	12.1
Overpass	11	36%	0.83	12.4
Vertigo	10	50%	0.94	14.1

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.

20.9%Headshot accuracy

32.9%Accuracy (enemy spotted)

33.0%Spray accuracy

83.4%Counter-strafing

6.4°Preaim

612msReaction time

33.0%T opening success

35.7%CT opening success

0.53Enemies flashed / flash

0.5%Flash assists

5.21HE damage / grenade

3.14Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.137 — below the 4 mark we flag
Grenade Lineups →
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 33.0185% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	-0.07	19%	11 Oct →
mirage	16–13	-0.00	16%	11 Oct →
inferno	4–13	-0.07	33%	11 Oct →
anubis	13–7	-0.03	27%	11 Oct →
cache	13–8	0.00	32%	11 Oct →
mirage	9–13	-0.05	30%	11 Oct →
inferno	10–13	-0.04	13%	8 Oct →
anubis	10–13	-0.04	14%	8 Oct →
nuke	8–13	-0.05	19%	8 Oct →
dust2	13–11	-0.01	18%	8 Oct →
train	4–13	-0.12	20%	7 Oct →
mirage	7–13	0.04	14%	6 Oct →
nuke	11–13	-0.04	15%	4 Oct →
dust2	13–11	-0.06	17%	4 Oct →
ancient	10–13	-0.07	29%	4 Oct →
anubis	6–13	-0.04	19%	3 Oct →
dust2	9–13	-0.07	12%	3 Oct →
anubis	13–10	-0.04	15%	3 Oct →
inferno	13–7	-0.01	8%	3 Oct →
dust2	13–11	-0.06	18%	3 Oct →
anubis	6–13	-0.00	26%	3 Oct →
ancient	13–11	-0.06	26%	3 Oct →
dust2	5–13	-0.09	14%	1 Oct →
mirage	5–13	-0.01	23%	1 Oct →
inferno	8–13	-0.05	35%	1 Oct →
dust2	9–13	-0.05	22%	1 Oct →
inferno	3–13	-0.05	16%	1 Oct →
cache	13–2	-0.05	33%	30 Sept →
nuke	13–9	0.01	20%	30 Sept →
nuke	16–12	0.05	29%	30 Sept →
cache	13–11	-0.04	16%	30 Sept →
anubis	11–13	-0.07	21%	30 Sept →
ancient	8–13	-0.05	28%	29 Sept →
ancient	13–16	-0.06	26%	29 Sept →
dust2	15–15	-0.06	29%	29 Sept →
nuke	16–13	-0.08	10%	29 Sept →
dust2	13–3	-0.05	55%	28 Sept →
anubis	10–13	-0.05	30%	28 Sept →
inferno	9–13	0.01	34%	28 Sept →
cache	11–13	-0.07	12%	28 Sept →
dust2	13–5	-0.05	18%	28 Sept →
ancient	15–15	-0.07	21%	28 Sept →
anubis	9–13	-0.06	30%	28 Sept →
ancient	10–13	-0.01	19%	28 Sept →
nuke	4–13	-0.02	32%	27 Sept →
dust2	15–15	-0.04	21%	27 Sept →
dust2	13–4	0.05	15%	27 Sept →
mirage	4–13	-0.02	26%	27 Sept →
mirage	16–13	0.02	22%	25 Sept →
nuke	10–13	-0.06	14%	25 Sept →
dust2	7–13	-0.08	35%	25 Sept →
cache	8–13	-0.03	31%	25 Sept →
nuke	9–13	-0.03	35%	25 Sept →
nuke	7–13	-0.08	12%	24 Sept →
cache	13–10	-0.04	36%	24 Sept →
ancient	16–14	-0.03	27%	24 Sept →
dust2	5–13	-0.08	11%	24 Sept →
dust2	1–13	-0.13	36%	24 Sept →
dust2	3–13	-0.09	36%	24 Sept →
inferno	7–13	-0.04	33%	23 Sept →
cache	4–13	-0.05	23%	23 Sept →
ancient	13–6	-0.00	29%	23 Sept →
inferno	11–13	-0.01	18%	23 Sept →
cache	4–13	-0.13	40%	23 Sept →
cache	13–6	-0.07	14%	23 Sept →
inferno	5–13	-0.09	20%	23 Sept →
cache	7–13	-0.08	41%	23 Sept →
mirage	13–2	-0.02	22%	23 Sept →
anubis	3–13	-0.08	6%	22 Sept →
dust2	13–8	0.01	28%	22 Sept →
mirage	3–13	-0.09	50%	21 Sept →
ancient	6–13	-0.10	46%	21 Sept →
mirage	3–13	-0.05	13%	21 Sept →
cache	5–13	-0.03	45%	21 Sept →
dust2	7–13	-0.14	8%	21 Sept →
dust2	11–13	-0.10	38%	21 Sept →
mirage	13–3	-0.04	23%	21 Sept →
ancient	13–10	-0.04	54%	20 Sept →
dust2	13–16	0.00	35%	20 Sept →
inferno	16–14	-0.05	16%	20 Sept →
ancient	8–13	-0.06	20%	20 Sept →
dust2	5–13	-0.09	30%	20 Sept →
mirage	10–13	-0.09	27%	20 Sept →
fachwerk	13–4	-0.06	50%	20 Sept →
anubis	13–10	0.05	23%	20 Sept →
inferno	11–13	0.01	24%	20 Sept →
dust2	6–13	-0.02	27%	20 Sept →
nuke	13–9	-0.06	14%	20 Sept →
ancient	11–13	-0.07	35%	19 Sept →
dust2	7–13	-0.07	36%	19 Sept →
nuke	13–9	0.07	39%	19 Sept →
nuke	13–4	-0.02	26%	19 Sept →
nuke	10–13	-0.07	19%	19 Sept →
cache	9–13	-0.11	25%	19 Sept →
ancient	13–6	-0.05	21%	19 Sept →
inferno	4–13	-0.09	14%	19 Sept →
ancient	9–13	-0.09	18%	19 Sept →
cache	13–6	-0.07	16%	19 Sept →
nuke	13–10	-0.09	40%	19 Sept →
dust2	13–10	-0.03	22%	19 Sept →