köpykkä — CS2 Stats

VG76561198271888582[U:1:311622854]Steam profile ↗✓ No bans

637Tracked matches62%Win rate2022Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#34043 of 56442 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning54

Utility36

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateWLWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.09 avg rating

Player DNA

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

Aim6.4

Aggression6.2

Utility3.6

Positioning5.4

Opening Duels2.2

Clutch6.6

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.

Your pro match

Plays most like b1t 87% playstyle similarity

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

Where you differ: lower utility contribution; 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. 556ms 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

Aim6.4

Positioning5.4

Utility3.6

Mechanics5.0

Opening Duels2.2

Win Impact9.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time560ms−45ms

first ⅓ avg 605ms → last ⅓ avg 560ms

Headshot accuracy22.5%+3.7%

first ⅓ avg 18.9% → last ⅓ avg 22.5%

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

0.16Best rating — mirage 13–6

13–2Biggest win — cache

6Longest win streak

5–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 59% over 17ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	-0.00
cache	B	22	10–12	45%	0.00
inferno	A	17	10–7	59%	0.00
dust2	B	13	6–7	46%	-0.00
ancient	D	9	3–6	33%	-0.02
nuke	B	8	4–4	50%	-0.00
anubis	—	4	2–2	50%	-0.04
overpass	—	2	1–1	50%	0.05
train	—	1	1–0	100%	0.11
vertigo	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

70Matches

56%Win rate

0.85Avg K/D

62.0ADR

43%Headshot %

Clutches & streaks

53%1v1 clutch win

6%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	6	67%	0.89	12.5
Ancient	6	33%	0.96	15.5
Mirage	6	67%	0.74	11.0
Inferno	2	50%	0.74	10.5
Cache	2	50%	0.98	16.5
Overpass	1	100%	0.62	10.0
Anubis	1	100%	0.44	7.0
Dust2	1	0%	0.33	2.0

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.

20.8%Headshot accuracy

30.5%Accuracy (enemy spotted)

33.8%Spray accuracy

72.7%Counter-strafing

9.4°Preaim

556msReaction time

38.1%T opening success

39.2%CT opening success

0.43Enemies flashed / flash

8.0%Flash assists

8.02HE damage / grenade

3.93Flashes / 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 0.4281 — 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 38.0954% — 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.

33% 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

Map	Score	Rating	HS%	Date
mirage	13–6	0.16	22%	29 Aug →
inferno	10–13	0.04	19%	2 Aug →
nuke	13–10	0.13	25%	31 Jul →
ancient	14–16	0.06	11%	31 Jul →
cache	9–13	-0.04	25%	31 Jul →
inferno	13–10	0.01	22%	31 Jul →
inferno	13–7	0.09	39%	31 Jul →
mirage	13–9	0.01	28%	31 Jul →
ancient	13–6	0.01	15%	31 Jul →
mirage	13–4	0.12	24%	31 Jul →
mirage	16–14	-0.01	15%	30 Jul →
inferno	7–13	0.04	27%	30 Jul →
inferno	13–11	-0.01	24%	30 Jul →
ancient	1–13	-0.10	40%	30 Jul →
cache	7–13	-0.10	6%	30 Jul →
cache	13–10	-0.05	28%	30 Jul →
anubis	7–13	-0.04	16%	29 Jul →
cache	13–10	-0.02	27%	29 Jul →
ancient	13–10	-0.02	16%	29 Jul →
cache	6–13	-0.03	22%	29 Jul →
mirage	10–13	0.02	20%	29 Jul →
mirage	13–7	0.02	16%	29 Jul →
ancient	15–15	0.01	19%	29 Jul →
inferno	13–5	0.00	24%	29 Jul →
anubis	13–7	-0.01	19%	29 Jul →
ancient	13–16	-0.05	17%	29 Jul →
mirage	13–5	0.01	16%	29 Jul →
inferno	13–9	-0.03	23%	29 Jul →
dust2	8–5	-0.06	24%	28 Jul →
dust2	4–13	-0.10	8%	27 Jul →
nuke	6–13	0.04	31%	24 Jul →
nuke	4–13	-0.10	54%	24 Jul →
inferno	16–13	-0.01	22%	23 Jul →
dust2	10–13	0.05	14%	18 Jul →
mirage	16–13	0.02	24%	18 Jul →
anubis	5–13	-0.07	12%	17 Jul →
inferno	13–5	0.06	29%	17 Jul →
ancient	9–13	-0.07	14%	17 Jul →
mirage	9–13	-0.04	30%	17 Jul →
cache	9–13	-0.08	22%	17 Jul →
inferno	9–13	-0.05	31%	17 Jul →
anubis	13–8	-0.04	19%	17 Jul →
cache	11–13	-0.02	17%	17 Jul →
nuke	13–10	-0.03	18%	16 Jul →
mirage	9–3	-0.02	24%	17 May →
mirage	12–12	-0.01	18%	16 May →
train	13–5	0.11	28%	16 May →
dust2	8–13	-0.01	14%	16 May →
inferno	5–13	0.00	18%	16 May →
cache	12–12	0.05	28%	15 May →
nuke	13–7	0.06	25%	15 May →
mirage	7–13	0.01	7%	15 May →
inferno	13–11	-0.04	14%	15 May →
nuke	10–13	-0.03	25%	15 May →
vertigo	13–7	0.14	11%	14 May →
dust2	6–13	-0.03	12%	14 May →
dust2	5–10	-0.06	22%	14 May →
dust2	16–13	-0.04	21%	13 May →
ancient	13–8	0.02	21%	13 May →
cache	13–11	-0.01	18%	12 May →
dust2	13–3	0.06	21%	12 May →
cache	8–13	-0.01	18%	12 May →
mirage	13–3	-0.01	18%	11 May →
dust2	13–4	0.09	17%	11 May →
mirage	13–9	-0.00	10%	11 May →
dust2	13–10	0.03	16%	10 May →
nuke	13–8	-0.02	14%	10 May →
overpass	13–10	0.02	20%	10 May →
mirage	3–13	-0.01	14%	10 May →
cache	11–13	0.06	15%	9 May →
inferno	13–5	-0.02	16%	9 May →
overpass	3–5	0.07	36%	9 May →
cache	13–7	0.04	11%	9 May →
mirage	13–8	0.10	20%	9 May →
inferno	6–13	-0.05	23%	8 May →
cache	7–13	0.02	17%	8 May →
cache	13–10	-0.03	10%	8 May →
dust2	13–5	0.06	22%	8 May →
mirage	3–13	-0.08	26%	8 May →
dust2	10–13	-0.03	9%	7 May →
dust2	11–13	-0.02	12%	5 May →
inferno	12–12	0.02	31%	5 May →
inferno	10–13	-0.02	24%	4 May →
inferno	13–8	0.00	24%	4 May →
mirage	1–5	-0.09	0%	4 May →
cache	13–8	0.06	15%	3 May →
cache	12–12	-0.01	27%	3 May →
cache	13–2	0.10	8%	3 May →
mirage	13–11	-0.03	14%	29 Apr →
cache	16–13	0.02	35%	29 Apr →
cache	9–13	-0.01	15%	29 Apr →
cache	8–13	0.02	19%	29 Apr →
cache	13–9	0.08	22%	29 Apr →
cache	13–8	0.00	16%	29 Apr →
mirage	8–13	-0.08	11%	28 Apr →
mirage	13–10	-0.02	16%	28 Apr →
mirage	2–13	-0.04	34%	25 Apr →
nuke	4–13	-0.06	21%	25 Apr →
mirage	7–13	-0.02	20%	24 Apr →
ancient	5–13	-0.04	21%	24 Apr →