SSN | kattiga katten — CS2 Stats

SE76561199026670130[U:1:1066404402]Steam profile ↗✓ No bans

306Tracked matches34%Win rate2021Tracked since

CSDB Rating3.3 Learning

FaceitLevel 5 · 1,209 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning46

Utility28

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateWLLLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.09 avg rating

Player DNA

Aim4.6

Aggression5.8

Utility2.8

Positioning4.6

Opening Duels2.3

Clutch3.2

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 NiKo 78% playstyle similarity

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

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. 702ms 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

Aim4.6

Positioning4.6

Utility2.8

Mechanics4.8

Opening Duels2.3

Win Impact0.0

Composite 3.3/10 (Learning), 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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time710ms−74ms

first ⅓ avg 785ms → last ⅓ avg 710ms

Headshot accuracy20.4%+2.5%

first ⅓ avg 17.9% → last ⅓ avg 20.4%

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 — dust2 12–12

13–2Biggest win — anubis

6Longest win streak

9–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 80% over 5infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	10–18	36%	-0.01
dust2	B	18	9–9	50%	-0.02
nuke	C	14	6–8	43%	-0.00
inferno	D	13	4–9	31%	-0.01
vertigo	C	12	5–7	42%	-0.04
ancient	D	9	3–6	33%	-0.02
anubis	S	5	4–1	80%	0.01
cache	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

341Matches

50%Win rate

0.88Avg K/D

65.4ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	149	44%	0.87	12.8
Dust2	63	60%	0.84	13.2
Ancient	46	50%	0.86	12.8
Anubis	25	48%	1.00	12.8
Inferno	16	50%	0.92	13.8
Nuke	12	50%	0.93	12.9
Train	11	45%	1.02	14.8
Vertigo	8	75%	0.87	14.4

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

30.0%Accuracy (enemy spotted)

36.9%Spray accuracy

71.4%Counter-strafing

10.7°Preaim

702msReaction time

32.2%T opening success

46.5%CT opening success

0.51Enemies flashed / flash

4.6%Flash assists

4.24HE damage / grenade

3.03Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 702.4557ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0344 — 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 32.2077% — 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.

31% 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
dust2	13–11	-0.06	28%	26 Aug →
dust2	10–13	-0.06	5%	25 Aug →
cache	2–13	-0.02	33%	22 Aug →
nuke	9–13	-0.06	13%	22 Aug →
mirage	10–13	-0.01	28%	22 Aug →
mirage	13–16	-0.06	18%	16 Aug →
mirage	11–13	0.02	23%	14 Aug →
ancient	8–13	-0.07	12%	9 Aug →
ancient	10–13	-0.04	15%	28 Jun →
inferno	6–13	-0.08	20%	21 Feb →
nuke	13–5	0.17	22%	21 Feb →
dust2	13–5	0.04	23%	7 Feb →
mirage	0–13	-0.04	24%	6 Feb →
anubis	13–2	0.04	33%	4 Feb →
dust2	13–11	0.02	29%	3 Feb →
mirage	11–13	0.02	23%	3 Feb →
mirage	7–13	0.09	35%	2 Feb →
dust2	12–12	0.18	20%	27 Jan →
nuke	3–13	-0.05	11%	27 Jan →
mirage	14–16	0.04	21%	26 Jan →
ancient	13–9	-0.02	19%	26 Jan →
ancient	3–13	0.01	17%	25 Jan →
mirage	13–2	0.15	24%	24 Jan →
mirage	9–13	-0.07	22%	23 Jan →
dust2	4–13	-0.07	23%	19 Jan →
inferno	2–13	-0.08	9%	18 Jan →
inferno	9–5	0.03	23%	17 Jan →
anubis	13–7	0.04	13%	11 Jan →
nuke	4–9	-0.09	10%	11 Jan →
nuke	9–6	0.07	14%	11 Jan →
mirage	13–10	0.01	27%	4 Jan →
dust2	5–13	-0.02	22%	3 Jan →
dust2	13–6	0.01	15%	30 Dec →
mirage	13–7	0.03	17%	30 Dec →
mirage	13–11	-0.07	31%	27 Dec →
nuke	13–6	-0.02	29%	1 Jun →
ancient	11–13	-0.00	20%	30 Mar →
anubis	3–13	-0.02	16%	30 Mar →
mirage	5–13	0.07	17%	20 Mar →
mirage	3–13	-0.08	13%	20 Mar →
inferno	8–8	-0.08	22%	19 Mar →
inferno	7–9	0.04	13%	6 Mar →
inferno	11–13	0.04	21%	5 Mar →
nuke	3–9	0.03	7%	3 Mar →
inferno	9–6	0.00	5%	26 Feb →
inferno	13–8	-0.01	11%	8 Jan →
dust2	4–13	-0.04	24%	5 Jan →
inferno	0–13	-0.02	36%	5 Jan →
dust2	13–10	0.00	15%	5 Jan →
vertigo	4–13	-0.06	13%	4 Jan →
inferno	15–15	-0.00	17%	4 Jan →
mirage	13–11	-0.02	15%	4 Jan →
mirage	9–13	-0.03	35%	9 Nov →
anubis	13–9	0.02	15%	7 Nov →
vertigo	9–13	-0.04	11%	7 Nov →
mirage	16–12	0.03	21%	7 Nov →
mirage	16–14	0.02	11%	5 Nov →
dust2	13–8	-0.03	15%	5 Nov →
vertigo	5–13	-0.07	11%	5 Nov →
inferno	10–13	-0.05	18%	3 Nov →
mirage	9–13	-0.02	17%	3 Nov →
dust2	13–6	-0.04	22%	3 Nov →
mirage	10–13	-0.06	18%	3 Nov →
mirage	13–9	-0.01	18%	3 Nov →
nuke	15–15	0.04	21%	1 Nov →
vertigo	16–12	-0.06	16%	1 Nov →
dust2	11–13	-0.05	9%	1 Nov →
dust2	3–13	-0.05	24%	21 Oct →
mirage	14–16	0.02	18%	21 Oct →
vertigo	13–8	-0.07	16%	20 Oct →
ancient	8–13	-0.04	12%	20 Oct →
vertigo	6–13	-0.04	23%	20 Oct →
dust2	16–14	-0.07	19%	20 Oct →
dust2	14–16	-0.06	16%	18 Oct →
ancient	9–6	0.07	27%	18 Oct →
mirage	9–13	-0.04	33%	18 Oct →
ancient	6–13	-0.03	16%	18 Oct →
dust2	13–6	-0.01	25%	18 Oct →
mirage	9–13	0.02	21%	18 Oct →
nuke	13–8	-0.08	12%	16 Oct →
nuke	13–11	-0.04	16%	14 Oct →
ancient	13–11	-0.04	14%	14 Oct →
vertigo	13–16	0.01	14%	13 Oct →
dust2	15–15	-0.00	27%	11 Oct →
nuke	7–13	0.03	20%	11 Oct →
vertigo	13–6	0.08	33%	11 Oct →
nuke	9–13	-0.02	21%	10 Oct →
vertigo	11–13	-0.01	15%	9 Oct →
mirage	10–13	-0.06	19%	9 Oct →
inferno	10–13	0.03	20%	7 Oct →
vertigo	10–13	-0.07	18%	7 Oct →
mirage	13–11	-0.06	12%	6 Oct →
vertigo	13–8	-0.03	8%	4 Oct →
nuke	13–9	0.04	17%	3 Oct →
anubis	13–7	-0.02	12%	1 Oct →
mirage	13–7	-0.02	11%	1 Oct →
vertigo	13–8	-0.08	6%	30 Sept →
mirage	11–13	-0.07	13%	30 Sept →
inferno	13–7	0.00	12%	30 Sept →
nuke	10–13	-0.06	20%	30 Sept →