鸦KARAS — CS2 Stats

CN76561198119765089[U:1:159499361]Steam profile ↗✓ No bans

831Tracked matches54%Win rate2025Tracked since

CSDB Rating4.7 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning48

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateWLWWTLWWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim3.9

Aggression7.1

Utility5.3

Positioning4.8

Opening Duels2.6

Clutch1.8

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 82% playstyle similarity

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

Where you differ: lower positioning profile; 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 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim3.9

Positioning4.8

Utility5.3

Mechanics5.7

Opening Duels2.6

Win Impact6.2

Composite 4.7/10 (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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time664ms−40ms

first ⅓ avg 704ms → last ⅓ avg 664ms

Headshot accuracy14.6%−0.8%

first ⅓ avg 15.4% → last ⅓ avg 14.6%

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 13–4

13–1Biggest win — cache

6Longest win streak

6–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 75% over 16cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	18–13	58%	-0.02
mirage	A	16	9–7	56%	-0.02
inferno	S	16	12–4	75%	-0.00
nuke	B	15	7–8	47%	0.00
ancient	B	13	7–6	54%	-0.02
cache	C	5	2–3	40%	-0.03
anubis	—	3	0–3	0%	-0.00
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

27Matches

37%Win rate

0.72Avg K/D

60.3ADR

30%Headshot %

Clutches & streaks

29%1v1 clutch win

4%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	9	56%	0.73	8.8
Inferno	8	12%	0.68	12.6
Mirage	5	60%	0.76	15.2
Ancient	2	50%	0.79	14.0
Nuke	2	0%	0.88	15.0
Anubis	1	0%	0.26	5.0

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.

14.5%Headshot accuracy

30.1%Accuracy (enemy spotted)

30.3%Spray accuracy

75.7%Counter-strafing

11.0°Preaim

661msReaction time

32.8%T opening success

47.9%CT opening success

0.61Enemies flashed / flash

6.1%Flash assists

12.94HE 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4658% — below the 15% mark we flag
Aim Training →
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 32.8219% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–5	-0.06	11%	29 Aug →
mirage	9–13	-0.04	4%	27 Aug →
nuke	13–3	-0.02	23%	26 Aug →
ancient	13–3	-0.01	3%	26 Aug →
anubis	15–15	0.02	13%	26 Aug →
mirage	2–13	-0.06	11%	25 Aug →
dust2	13–7	-0.00	17%	25 Aug →
mirage	13–11	0.00	11%	23 Aug →
dust2	13–5	0.02	29%	22 Aug →
dust2	5–13	-0.04	18%	22 Aug →
nuke	12–12	0.01	23%	20 Aug →
mirage	13–3	-0.02	8%	20 Aug →
inferno	13–6	-0.01	13%	18 Aug →
inferno	10–13	0.01	17%	18 Aug →
mirage	10–13	-0.01	20%	15 Aug →
inferno	13–5	-0.01	9%	14 Aug →
mirage	13–3	0.05	16%	14 Aug →
ancient	13–3	-0.01	7%	14 Aug →
dust2	10–13	-0.05	14%	13 Aug →
dust2	13–8	-0.09	14%	10 Aug →
mirage	11–13	-0.04	17%	9 Aug →
dust2	9–13	-0.03	4%	3 Aug →
nuke	7–13	-0.01	11%	2 Aug →
inferno	5–2	-0.04	20%	2 Aug →
dust2	10–13	-0.04	9%	2 Aug →
ancient	11–13	-0.07	18%	2 Aug →
mirage	8–13	-0.03	16%	2 Aug →
dust2	13–3	-0.06	22%	2 Aug →
dust2	4–13	-0.01	16%	1 Aug →
inferno	13–10	-0.01	22%	31 Jul →
dust2	13–2	0.06	15%	31 Jul →
inferno	13–7	0.04	17%	30 Jul →
ancient	10–13	-0.02	15%	30 Jul →
dust2	2–13	-0.01	23%	30 Jul →
ancient	13–10	-0.07	13%	29 Jul →
mirage	13–8	0.04	20%	29 Jul →
dust2	9–13	-0.01	20%	29 Jul →
inferno	10–13	-0.05	10%	28 Jul →
inferno	11–13	-0.06	11%	28 Jul →
inferno	7–13	-0.02	13%	28 Jul →
anubis	10–13	-0.03	12%	27 Jul →
anubis	6–13	-0.01	23%	26 Jul →
cache	10–13	-0.04	10%	26 Jul →
ancient	13–8	-0.05	29%	26 Jul →
dust2	5–13	-0.10	36%	26 Jul →
mirage	13–11	-0.01	23%	26 Jul →
nuke	2–0	0.01	100%	26 Jul →
ancient	8–13	-0.05	13%	26 Jul →
nuke	13–6	0.00	7%	25 Jul →
inferno	13–6	0.08	20%	24 Jul →
cache	13–1	-0.04	17%	24 Jul →
dust2	13–8	0.06	17%	24 Jul →
ancient	13–6	0.00	21%	23 Jul →
nuke	12–12	-0.04	9%	21 Jul →
dust2	13–4	0.02	5%	19 Jul →
ancient	12–12	-0.05	20%	19 Jul →
ancient	11–13	-0.06	8%	19 Jul →
inferno	13–4	0.11	16%	18 Jul →
ancient	13–4	0.05	14%	18 Jul →
nuke	8–13	-0.01	23%	18 Jul →
nuke	12–12	0.11	11%	14 Jul →
ancient	7–13	-0.01	26%	12 Jul →
dust2	13–7	0.02	36%	12 Jul →
inferno	13–11	-0.00	15%	11 Jul →
dust2	13–9	-0.06	8%	11 Jul →
nuke	5–13	-0.01	22%	11 Jul →
dust2	13–10	-0.02	22%	10 Jul →
mirage	13–7	-0.03	7%	10 Jul →
cache	8–13	-0.01	5%	9 Jul →
dust2	11–13	-0.03	9%	8 Jul →
dust2	13–9	-0.06	12%	7 Jul →
nuke	12–12	-0.07	20%	7 Jul →
dust2	13–5	0.08	24%	6 Jul →
ancient	13–2	0.01	22%	6 Jul →
dust2	9–13	-0.01	19%	5 Jul →
inferno	13–8	0.00	9%	5 Jul →
nuke	13–7	0.01	13%	5 Jul →
inferno	13–11	-0.02	15%	5 Jul →
dust2	6–13	-0.07	17%	5 Jul →
dust2	13–7	-0.08	20%	5 Jul →
office	10–13	-0.06	14%	5 Jul →
mirage	2–13	-0.09	19%	5 Jul →
dust2	13–4	0.01	11%	5 Jul →
mirage	13–8	-0.04	16%	4 Jul →
inferno	13–11	-0.03	10%	4 Jul →
cache	13–9	0.01	19%	3 Jul →
dust2	13–7	0.00	21%	3 Jul →
dust2	13–7	0.00	10%	3 Jul →
dust2	8–13	-0.08	19%	2 Jul →
dust2	13–10	-0.04	20%	2 Jul →
cache	8–13	-0.08	15%	2 Jul →
nuke	13–6	0.07	17%	2 Jul →
dust2	13–6	-0.00	14%	1 Jul →
inferno	13–7	-0.06	15%	1 Jul →
nuke	13–4	0.03	23%	1 Jul →
mirage	13–9	0.01	14%	1 Jul →
mirage	2–13	-0.05	27%	1 Jul →
nuke	7–13	-0.04	10%	30 Jun →
nuke	13–4	0.03	17%	29 Jun →
dust2	5–13	-0.06	9%	28 Jun →