Koco — CS2 Stats

76561198272198929[U:1:311933201]Steam profile ↗✓ No bans

1,004Tracked matches55%Win rate2020Tracked since

CSDB Rating5.3 DevelopingClutch Specialist

Premier CS Rating19,128Purple band · top ~12% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning49

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWWTWLLLWWW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.0

Aggression7.2

Utility4.9

Positioning4.9

Opening Duels2.6

Clutch8.0

Limited utility dependenceReliable in 1v1s

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 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 591ms 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

Aim6.0

Positioning4.9

Utility4.9

Mechanics5.6

Opening Duels2.6

Win Impact6.7

Composite 5.3/10 (Developing), 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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time619ms−15ms

first ⅓ avg 634ms → last ⅓ avg 619ms

Headshot accuracy21.0%+0.6%

first ⅓ avg 20.4% → last ⅓ avg 21.0%

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

0.31Best rating — inferno 9–0

13–2Biggest win — overpass

6Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 70% over 10cacheWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	24	10–14	42%	0.02
nuke	S	15	10–5	67%	0.01
ancient	B	15	8–7	53%	0.00
cache	C	11	4–7	36%	-0.01
anubis	S	10	7–3	70%	-0.00
overpass	B	8	4–4	50%	0.03
vertigo	—	4	3–1	75%	0.01
mirage	—	4	1–3	25%	0.02
dust2	—	4	0–4	0%	0.01
train	—	2	1–1	50%	0.04
office	—	1	1–0	100%	0.02
poseidon	—	1	0–1	0%	-0.22
debris	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

301Matches

52%Win rate

1.06Avg K/D

104.3ADR

40%Headshot %

Clutches & streaks

60%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	100%	2.06	20.5
Mirage	2	50%	1.22	13.5
Dust2	2	100%	1.68	18.5
Inferno	1	100%	2.47	37.0
Cache	1	0%	1.05	20.0
Ancient	1	100%	2.27	25.0

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

29.9%Accuracy (enemy spotted)

33.8%Spray accuracy

75.2%Counter-strafing

10.1°Preaim

591msReaction time

39.3%T opening success

41.6%CT opening success

0.41Enemies flashed / flash

4.9%Flash assists

12.44HE damage / grenade

4.57Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4125 — below the 0.5 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 39.3319% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	0.02	17%	30 Aug →
office	13–11	0.02	11%	24 Aug →
vertigo	12–12	0.06	28%	24 Aug →
vertigo	13–7	-0.03	18%	24 Aug →
inferno	11–13	-0.02	46%	23 Aug →
inferno	5–13	-0.00	23%	23 Aug →
ancient	6–13	0.02	27%	20 Aug →
anubis	13–3	-0.04	19%	20 Aug →
anubis	13–8	0.01	18%	20 Aug →
inferno	13–8	0.02	16%	20 Aug →
mirage	3–13	-0.08	21%	15 Aug →
ancient	13–11	0.04	32%	15 Aug →
inferno	6–13	-0.03	12%	11 Aug →
inferno	8–13	0.02	22%	11 Aug →
anubis	10–13	-0.01	22%	11 Aug →
cache	0–13	-0.05	38%	11 Aug →
nuke	13–9	0.02	23%	11 Aug →
inferno	8–13	0.03	28%	11 Aug →
train	13–7	0.04	16%	11 Aug →
nuke	13–4	0.05	18%	11 Aug →
ancient	13–8	0.05	27%	11 Aug →
cache	13–10	0.08	21%	9 Aug →
anubis	6–13	-0.06	16%	9 Aug →
ancient	6–13	-0.07	25%	9 Aug →
inferno	10–13	0.00	17%	9 Aug →
ancient	13–3	-0.01	12%	9 Aug →
nuke	4–13	-0.05	29%	8 Aug →
inferno	6–9	0.07	26%	4 Aug →
poseidon	0–9	-0.22	0%	4 Aug →
debris	3–9	-0.07	24%	4 Aug →
vertigo	13–6	0.04	15%	4 Aug →
inferno	13–9	0.01	15%	26 Jul →
inferno	13–6	0.02	14%	26 Jul →
nuke	13–10	0.01	17%	26 Jul →
cache	3–13	-0.03	33%	25 Jul →
cache	3–3	-0.06	40%	25 Jul →
cache	11–13	-0.04	17%	25 Jul →
inferno	3–13	-0.08	16%	25 Jul →
ancient	16–14	-0.01	14%	25 Jul →
nuke	16–14	0.00	25%	24 Jul →
ancient	13–6	0.00	32%	24 Jul →
cache	13–9	0.02	20%	19 Jul →
cache	13–5	-0.06	17%	19 Jul →
cache	11–4	0.01	38%	19 Jul →
cache	7–13	0.02	16%	19 Jul →
train	6–13	0.04	36%	19 Jul →
dust2	15–15	0.00	15%	2 Jul →
dust2	8–13	0.00	26%	2 Jul →
ancient	15–15	-0.01	32%	2 Jul →
inferno	13–7	-0.02	11%	2 Jul →
nuke	15–15	-0.02	17%	25 Jun →
nuke	13–8	0.03	13%	25 Jun →
overpass	13–10	0.05	25%	25 Jun →
overpass	5–13	0.02	32%	24 Jun →
inferno	13–8	0.04	12%	11 Jun →
overpass	13–10	-0.04	11%	11 Jun →
nuke	10–13	-0.00	22%	23 May →
cache	12–12	0.06	20%	21 May →
nuke	16–14	-0.00	21%	21 May →
inferno	6–13	-0.00	19%	14 May →
cache	9–13	-0.01	12%	14 May →
mirage	10–13	0.11	21%	14 May →
ancient	0–13	-0.03	13%	14 May →
overpass	2–13	-0.00	15%	25 Mar →
anubis	13–6	0.03	12%	23 Mar →
ancient	13–5	0.07	12%	23 Mar →
mirage	16–14	0.00	13%	23 Mar →
inferno	13–4	0.06	18%	23 Mar →
anubis	13–6	0.07	7%	22 Mar →
ancient	13–11	0.02	18%	22 Mar →
overpass	10–13	0.03	22%	21 Mar →
inferno	13–3	0.03	16%	21 Mar →
nuke	7–13	0.01	25%	21 Mar →
inferno	13–11	-0.01	37%	21 Mar →
overpass	10–13	-0.03	31%	12 Mar →
vertigo	13–8	-0.02	31%	12 Mar →
mirage	8–13	0.03	9%	6 Mar →
inferno	10–13	-0.07	13%	6 Mar →
nuke	13–7	0.04	19%	6 Mar →
ancient	11–13	-0.09	25%	6 Mar →
nuke	10–13	-0.02	14%	4 Mar →
inferno	9–0	0.31	21%	27 Feb →
overpass	13–2	0.17	22%	27 Feb →
inferno	13–9	-0.01	14%	25 Feb →
nuke	13–4	0.05	12%	20 Feb →
anubis	13–9	0.00	21%	19 Feb →
inferno	9–13	-0.07	19%	14 Feb →
ancient	7–13	-0.03	26%	14 Feb →
inferno	11–13	0.04	25%	14 Feb →
dust2	3–13	0.06	33%	14 Feb →
anubis	9–13	-0.03	15%	6 Feb →
anubis	13–6	0.03	12%	5 Feb →
overpass	13–9	0.05	12%	5 Feb →
inferno	10–13	0.06	14%	29 Jan →
anubis	13–11	-0.04	7%	29 Jan →
inferno	14–16	0.03	16%	29 Jan →
ancient	13–9	0.09	19%	29 Jan →
nuke	13–11	0.03	24%	29 Jan →
dust2	13–16	-0.03	29%	29 Jan →
ancient	1–13	-0.05	46%	29 Jan →