KočkaAre79 — CS2 Stats

FI76561198861334269[U:1:901068541]Steam profile ↗

1,440Tracked matches50%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating17,734Purple band · top ~17.5% of ranked players (population est.)

CSDB Leaderboard#9909 of 17992 tracked

FaceitLevel 9 · 1,853 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning72

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLWWLLLWLW

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

Player DNA

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

Aim8.9

Aggression10.0

Utility4.0

Positioning7.2

Opening Duels5.6

Clutch4.2

Sharp aimerLimited 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 sh1ro 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.9

Positioning7.2

Utility4.0

Mechanics7.9

Opening Duels5.6

Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time497ms−9ms

first ⅓ avg 506ms → last ⅓ avg 497ms

Headshot accuracy16.2%−8.7%

first ⅓ avg 25.0% → last ⅓ avg 16.2%

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

0.18Best rating — mirage 13–3

13–1Biggest win — nuke

8Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 69% over 13anubisWeakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	25	10–15	40%	0.00
nuke	A	21	12–9	57%	0.02
mirage	A	15	9–6	60%	0.01
inferno	A	14	8–6	57%	0.01
cache	S	13	9–4	69%	0.03
ancient	A	7	4–3	57%	0.01
overpass	—	3	1–2	33%	-0.00
vertigo	—	1	0–1	0%	-0.02
dust2	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

464Matches

52%Win rate

1.16Avg K/D

73.9ADR

29%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	109	50%	1.14	15.4
Nuke	60	70%	1.35	16.5
Ancient	54	50%	1.08	15.0
Anubis	44	48%	1.09	15.8
Inferno	41	54%	1.18	16.4
Dust2	36	47%	0.99	15.6
Cache	24	46%	1.18	18.1
Overpass	13	46%	1.15	19.2

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

37.9%Accuracy (enemy spotted)

41.9%Spray accuracy

85.6%Counter-strafing

8.0°Preaim

493msReaction time

52.5%T opening success

52.0%CT opening success

0.45Enemies flashed / flash

5.3%Flash assists

7.96HE damage / grenade

3.36Flashes / 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 0.4513 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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 25 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	0.01	23%	26 Aug →
cache	5–13	-0.06	6%	26 Aug →
nuke	16–13	0.01	16%	24 Aug →
cache	13–10	0.02	21%	24 Aug →
mirage	10–13	-0.00	9%	23 Aug →
anubis	8–13	-0.07	15%	20 Aug →
anubis	6–13	-0.04	6%	20 Aug →
cache	13–9	0.08	15%	19 Aug →
anubis	5–13	-0.02	47%	19 Aug →
cache	13–6	0.06	50%	17 Aug →
mirage	13–7	0.00	16%	17 Aug →
anubis	25–23	0.04	16%	16 Aug →
nuke	13–10	0.01	28%	16 Aug →
cache	25–21	0.04	13%	16 Aug →
nuke	6–13	-0.03	14%	15 Aug →
cache	17–19	0.02	16%	15 Aug →
ancient	5–13	-0.06	9%	15 Aug →
nuke	13–5	0.06	6%	14 Aug →
vertigo	8–13	-0.02	8%	14 Aug →
nuke	2–13	-0.09	6%	11 Aug →
inferno	7–13	-0.02	15%	11 Aug →
anubis	13–8	0.08	38%	10 Aug →
nuke	13–6	0.08	19%	9 Aug →
anubis	8–13	-0.03	6%	9 Aug →
cache	13–6	0.04	21%	9 Aug →
cache	16–13	0.02	21%	9 Aug →
ancient	4–13	0.01	7%	8 Aug →
nuke	13–7	0.04	15%	8 Aug →
anubis	13–3	0.12	9%	8 Aug →
mirage	0–13	-0.06	17%	7 Aug →
inferno	13–10	0.03	12%	5 Aug →
nuke	13–7	0.06	6%	5 Aug →
anubis	9–13	0.02	12%	5 Aug →
nuke	13–1	0.07	19%	2 Aug →
anubis	16–14	0.06	17%	2 Aug →
anubis	13–5	0.04	33%	2 Aug →
inferno	13–8	0.12	14%	1 Aug →
anubis	13–8	0.05	19%	1 Aug →
mirage	13–10	0.01	13%	29 Jul →
inferno	13–6	-0.01	17%	29 Jul →
mirage	22–20	0.06	7%	28 Jul →
anubis	10–13	-0.05	17%	27 Jul →
ancient	13–5	0.06	12%	27 Jul →
anubis	10–13	0.07	16%	26 Jul →
mirage	12–16	-0.08	15%	26 Jul →
anubis	6–13	-0.03	21%	26 Jul →
cache	13–4	0.06	24%	26 Jul →
mirage	13–8	0.04	16%	26 Jul →
anubis	4–13	-0.02	21%	25 Jul →
mirage	7–13	-0.01	17%	25 Jul →
nuke	13–11	-0.03	33%	24 Jul →
dust2	4–13	-0.02	22%	24 Jul →
mirage	13–11	-0.02	15%	24 Jul →
cache	9–5	0.01	13%	24 Jul →
ancient	13–8	0.01	9%	24 Jul →
nuke	13–6	0.06	23%	16 Jul →
inferno	13–5	-0.00	31%	16 Jul →
cache	9–13	0.03	35%	16 Jul →
inferno	13–1	0.05	25%	16 Jul →
inferno	13–11	0.07	15%	15 Jul →
mirage	13–6	-0.08	22%	15 Jul →
nuke	10–13	0.04	18%	15 Jul →
ancient	13–7	0.07	21%	15 Jul →
anubis	8–13	-0.05	28%	15 Jul →
mirage	13–3	0.18	27%	14 Jul →
nuke	13–7	0.01	40%	14 Jul →
anubis	3–13	-0.06	29%	14 Jul →
anubis	12–6	-0.01	27%	14 Jul →
ancient	13–5	0.01	8%	14 Jul →
cache	13–3	0.12	16%	14 Jul →
mirage	13–9	0.03	35%	14 Jul →
anubis	6–13	-0.05	9%	12 Jul →
cache	3–13	-0.07	47%	10 Jul →
anubis	13–5	0.06	44%	10 Jul →
inferno	3–13	-0.06	27%	10 Jul →
inferno	1–13	-0.07	13%	9 Jul →
anubis	16–12	-0.01	6%	9 Jul →
anubis	7–13	-0.01	24%	3 Jul →
mirage	13–7	0.06	26%	2 Jul →
mirage	11–13	0.06	33%	1 Jul →
inferno	13–8	-0.01	15%	1 Jul →
ancient	5–13	-0.03	25%	1 Jul →
inferno	11–13	-0.01	11%	29 Jun →
anubis	7–13	-0.02	28%	29 Jun →
inferno	4–13	0.03	47%	28 Jun →
nuke	13–9	-0.01	22%	28 Jun →
nuke	13–10	0.06	31%	28 Jun →
nuke	7–9	0.09	19%	28 Jun →
anubis	11–13	-0.00	32%	24 Jun →
inferno	15–15	0.02	7%	24 Jun →
nuke	14–16	-0.01	29%	23 Jun →
overpass	10–13	-0.01	29%	23 Jun →
anubis	13–11	0.08	10%	22 Jun →
nuke	8–13	0.02	16%	22 Jun →
nuke	2–13	-0.04	25%	22 Jun →
overpass	7–13	0.03	14%	16 Jun →
nuke	9–13	-0.03	24%	16 Jun →
inferno	4–3	-0.04	100%	16 Jun →
mirage	11–13	-0.02	17%	8 Jun →
overpass	22–20	-0.02	8%	8 Jun →