Habbahabba_Sutsut — CS2 Stats

DK76561198963498022[U:1:1003232294]Steam profile ↗✓ No bans

3,405Tracked matches31%Win rate2020Tracked since

CSDB Rating4.0 Developing

Premier CS Rating3,520Grey band · top ~85.1% of ranked players (population est.)

CSDB Leaderboard#43730 of 56310 tracked

FaceitLevel 3 · 867 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning48

Utility63

0–100 skill scores via Leetify.

Recent form

COLD31–66–3Last 10031%Win rateLLLWWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.3

Aggression4.3

Utility6.3

Positioning4.8

Opening Duels0.6

Clutch0.0

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 40% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim5.3

Positioning4.8

Utility6.3

Mechanics5.6

Opening Duels1.3

Win Impact0.0

Composite 4.0/10 (Developing), 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 -0.01 → last ⅓ avg 0.00

Reaction time584ms−80ms

first ⅓ avg 663ms → last ⅓ avg 584ms

Headshot accuracy16.4%−0.2%

first ⅓ avg 16.6% → last ⅓ avg 16.4%

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

0.11Best rating — nuke 13–0

13–0Biggest win — nuke

3Longest win streak

L3Current streak

1–17In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 46% over 13ancientWeakest map · 15% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	22	7–15	32%	-0.01
ancient	D	20	3–17	15%	-0.02
anubis	C	16	6–10	38%	-0.01
mirage	D	15	4–11	27%	-0.01
nuke	B	13	6–7	46%	0.03
cache	D	7	2–5	29%	-0.02
dust2	—	3	1–2	33%	-0.00
overpass	—	1	0–1	0%	0.02
train	—	1	1–0	100%	0.10
vertigo	—	1	1–0	100%	-0.00
office	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches

49%Win rate

0.86Avg K/D

63.1ADR

43%Headshot %

Clutches & streaks

19%1v1 clutch win

29%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	9	56%	0.87	12.4
Ancient	8	38%	0.82	10.8
Anubis	7	43%	0.98	12.1
Inferno	6	67%	0.86	12.7
Dust2	2	50%	0.66	10.5
Train	1	100%	0.83	15.0
Overpass	1	0%	0.61	11.0

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.

16.6%Headshot accuracy

31.9%Accuracy (enemy spotted)

29.9%Spray accuracy

75.0%Counter-strafing

10.2°Preaim

586msReaction time

24.6%T opening success

40.2%CT opening success

0.55Enemies flashed / flash

2.6%Flash assists

10.50HE damage / grenade

14.74Flashes / 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.

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 24.6264% — 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.

15% win rate across 20 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
ancient	11–13	-0.05	13%	29 Aug →
mirage	10–13	-0.04	12%	29 Aug →
mirage	8–13	-0.01	24%	28 Aug →
cache	16–14	0.02	16%	28 Aug →
mirage	13–3	0.01	12%	28 Aug →
mirage	8–13	-0.01	13%	26 Aug →
anubis	16–12	-0.02	17%	23 Aug →
anubis	11–13	0.05	18%	23 Aug →
nuke	10–13	0.09	10%	23 Aug →
overpass	7–13	0.02	18%	23 Aug →
inferno	8–13	0.04	21%	22 Aug →
inferno	6–13	-0.02	29%	21 Aug →
inferno	11–13	-0.02	29%	21 Aug →
ancient	8–13	-0.05	14%	21 Aug →
ancient	11–13	-0.03	26%	20 Aug →
mirage	14–16	-0.04	18%	19 Aug →
inferno	10–13	0.01	8%	19 Aug →
cache	11–13	-0.01	21%	18 Aug →
inferno	13–8	0.00	16%	18 Aug →
anubis	13–2	0.09	28%	18 Aug →
nuke	9–13	-0.10	13%	18 Aug →
ancient	15–15	0.02	19%	18 Aug →
train	13–4	0.10	22%	18 Aug →
mirage	14–16	0.05	12%	17 Aug →
ancient	9–13	0.04	14%	17 Aug →
nuke	13–7	0.06	9%	17 Aug →
anubis	5–13	-0.07	7%	16 Aug →
anubis	13–9	-0.02	17%	16 Aug →
inferno	13–5	0.02	15%	15 Aug →
inferno	5–13	-0.02	10%	15 Aug →
nuke	13–10	0.09	15%	12 Aug →
ancient	9–13	-0.02	14%	12 Aug →
ancient	13–10	-0.08	13%	11 Aug →
mirage	8–13	-0.06	29%	11 Aug →
ancient	15–15	-0.08	11%	11 Aug →
ancient	11–13	0.02	21%	9 Aug →
dust2	7–13	-0.02	30%	9 Aug →
ancient	13–5	0.01	12%	9 Aug →
nuke	11–13	-0.01	14%	8 Aug →
mirage	5–13	-0.01	15%	8 Aug →
nuke	8–13	0.04	20%	8 Aug →
inferno	6–13	-0.06	17%	8 Aug →
inferno	13–6	0.02	19%	7 Aug →
inferno	11–13	-0.02	9%	6 Aug →
ancient	10–13	-0.04	15%	6 Aug →
mirage	13–9	-0.01	14%	4 Aug →
dust2	13–6	0.02	13%	4 Aug →
anubis	11–13	-0.04	18%	4 Aug →
inferno	13–9	0.01	22%	4 Aug →
inferno	13–10	0.09	19%	3 Aug →
vertigo	12–3	-0.00	24%	3 Aug →
inferno	7–13	0.02	20%	3 Aug →
dust2	4–13	-0.01	19%	3 Aug →
nuke	12–12	0.06	10%	3 Aug →
anubis	13–4	0.06	18%	3 Aug →
office	5–13	-0.04	10%	3 Aug →
nuke	13–9	-0.00	14%	3 Aug →
cache	8–13	-0.02	21%	3 Aug →
inferno	6–13	-0.10	12%	3 Aug →
mirage	13–8	0.05	22%	3 Aug →
inferno	13–3	0.09	16%	3 Aug →
ancient	8–13	0.01	18%	2 Aug →
inferno	7–13	-0.08	12%	2 Aug →
anubis	13–9	0.01	17%	2 Aug →
mirage	13–6	-0.03	17%	1 Aug →
anubis	10–13	-0.05	16%	1 Aug →
cache	14–16	-0.05	14%	1 Aug →
inferno	14–16	-0.01	24%	1 Aug →
anubis	3–13	-0.02	16%	28 Jul →
nuke	13–9	0.08	24%	28 Jul →
ancient	6–13	-0.07	14%	28 Jul →
inferno	3–13	-0.05	14%	27 Jul →
anubis	9–13	0.01	10%	27 Jul →
cache	13–2	0.03	22%	27 Jul →
inferno	13–10	-0.04	14%	27 Jul →
anubis	6–13	-0.08	13%	26 Jul →
cache	2–13	-0.05	15%	26 Jul →
inferno	11–13	-0.01	18%	26 Jul →
nuke	9–13	0.00	22%	26 Jul →
ancient	7–13	0.01	19%	26 Jul →
mirage	11–13	-0.03	13%	24 Jul →
anubis	9–13	-0.04	8%	23 Jul →
ancient	13–7	0.04	20%	23 Jul →
nuke	9–13	-0.01	9%	19 Jul →
anubis	10–13	0.00	15%	16 Jul →
inferno	5–13	0.02	18%	15 Jul →
cache	10–13	-0.04	21%	15 Jul →
mirage	7–13	-0.03	26%	15 Jul →
inferno	11–13	-0.04	14%	15 Jul →
mirage	8–13	-0.06	23%	15 Jul →
mirage	10–13	0.03	14%	15 Jul →
anubis	13–10	0.02	18%	15 Jul →
anubis	6–13	-0.02	16%	14 Jul →
ancient	11–13	-0.07	15%	14 Jul →
nuke	13–4	0.05	24%	14 Jul →
ancient	7–13	-0.09	8%	14 Jul →
ancient	7–13	-0.01	14%	13 Jul →
ancient	8–13	-0.05	14%	13 Jul →
nuke	13–0	0.11	25%	13 Jul →
ancient	7–13	-0.03	10%	13 Jul →