habs — CS2 Stats

76561198102449422[U:1:142183694]Steam profile ↗✓ No bans

375Tracked matches44%Win rate2022Tracked since

CSDB Rating5.4 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim71

Positioning50

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWWTWLTWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.1

Aggression8.1

Utility3.5

Positioning5.0

Opening Duels3.5

Clutch6.2

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 ropz 85% playstyle similarity

Most alike: positioning profile, 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

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

Reaction time. 691ms 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

Aim7.1

Positioning5.0

Utility3.5

Mechanics7.5

Opening Duels3.5

Win Impact3.1

Composite 5.4/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time695ms+37ms

first ⅓ avg 658ms → last ⅓ avg 695ms

Headshot accuracy12.7%−2.6%

first ⅓ avg 15.3% → last ⅓ avg 12.7%

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

0.13Best rating — vertigo 13–10

13–1Biggest win — nuke

6Longest win streak

9–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	0.01
vertigo	B	16	8–8	50%	0.02
ancient	C	13	5–8	38%	0.01
nuke	S	12	8–4	67%	0.02
anubis	A	11	7–4	64%	0.01
inferno	A	9	5–4	56%	0.01
office	D	6	2–4	33%	-0.01
dust2	D	5	1–4	20%	0.00
overpass	C	5	2–3	40%	-0.01
cache	—	2	0–2	0%	0.04
train	—	1	0–1	0%	-0.06
thera	—	1	1–0	100%	-0.03
mills	—	1	0–1	0%	-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

131Matches

47%Win rate

1.09Avg K/D

82.7ADR

38%Headshot %

Clutches & streaks

51%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	53%	1.18	17.0
Dust2	20	55%	1.31	16.9
Ancient	16	44%	1.04	15.8
Anubis	16	62%	1.18	16.3
Vertigo	13	23%	0.89	13.9
Nuke	12	33%	1.05	18.0
Inferno	10	50%	1.28	16.4
Overpass	1	0%	0.50	9.0

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.

12.8%Headshot accuracy

43.8%Accuracy (enemy spotted)

44.6%Spray accuracy

84.0%Counter-strafing

11.4°Preaim

691msReaction time

42.2%T opening success

45.9%CT opening success

0.45Enemies flashed / flash

4.3%Flash assists

6.70HE damage / grenade

11.47Flashes / 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 12.7971% — below the 15% mark we flag
Aim Training →
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 0.4506 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.01	15%	16 Jul →
dust2	11–0	0.04	9%	16 Jul →
mirage	13–8	-0.01	10%	14 Jul →
cache	15–15	0.06	14%	14 Jul →
mirage	13–5	0.01	4%	12 Jul →
cache	11–13	0.02	10%	11 Jul →
inferno	15–15	-0.00	9%	11 Jul →
inferno	13–6	0.02	10%	10 Jul →
mirage	10–13	0.09	13%	9 Jul →
inferno	13–9	0.10	9%	11 Mar →
train	0–10	-0.06	17%	7 Mar →
nuke	13–11	-0.04	31%	6 Mar →
ancient	13–7	-0.02	3%	4 Mar →
nuke	10–13	0.06	12%	4 Mar →
dust2	11–13	-0.03	15%	8 Feb →
inferno	12–16	0.04	19%	23 Jan →
mirage	13–9	0.05	9%	5 Oct →
inferno	13–9	-0.01	19%	5 Oct →
mirage	13–16	-0.01	19%	15 Jul →
ancient	12–12	0.12	10%	15 Jul →
mirage	11–13	-0.00	17%	10 Jul →
anubis	13–5	0.10	15%	10 Jul →
mirage	5–13	-0.06	13%	2 Jul →
dust2	8–13	0.06	16%	2 Jul →
thera	13–9	-0.03	9%	26 Jun →
mills	5–13	-0.13	17%	26 Jun →
dust2	7–13	-0.04	5%	20 Jun →
ancient	13–16	0.08	8%	20 Jun →
vertigo	2–9	0.01	9%	19 Jun →
anubis	13–4	0.07	8%	19 Jun →
vertigo	10–13	-0.00	12%	16 Jun →
anubis	12–16	-0.03	17%	12 Jun →
anubis	13–10	0.06	15%	8 Jun →
anubis	9–13	-0.03	12%	8 Jun →
nuke	13–8	0.06	15%	6 Jun →
vertigo	13–4	-0.01	13%	3 Jun →
vertigo	13–11	-0.04	12%	22 May →
nuke	3–13	0.07	7%	18 May →
ancient	8–13	-0.05	4%	15 May →
vertigo	7–13	0.03	9%	12 Apr →
nuke	9–7	-0.06	18%	12 Apr →
mirage	12–12	0.04	13%	10 Apr →
inferno	11–4	0.02	11%	10 Apr →
nuke	8–13	0.06	13%	10 Apr →
office	10–13	-0.01	12%	4 Mar →
nuke	13–1	0.06	29%	2 Mar →
ancient	9–13	-0.10	26%	2 Mar →
office	10–10	-0.07	11%	27 Feb →
vertigo	9–13	0.00	10%	27 Feb →
overpass	13–6	-0.02	9%	19 Feb →
mirage	13–7	0.03	11%	14 Feb →
vertigo	1–13	-0.00	23%	13 Feb →
ancient	4–13	-0.05	9%	13 Feb →
overpass	10–11	-0.06	7%	11 Feb →
anubis	16–12	-0.02	8%	11 Feb →
overpass	16–14	0.06	9%	11 Feb →
vertigo	13–8	0.05	13%	9 Feb →
vertigo	13–9	-0.00	12%	8 Feb →
vertigo	16–14	-0.05	14%	8 Feb →
ancient	13–7	0.07	16%	8 Feb →
overpass	7–13	-0.08	2%	8 Feb →
ancient	13–7	-0.01	13%	7 Feb →
anubis	10–13	-0.01	11%	6 Feb →
anubis	13–2	0.05	4%	6 Feb →
vertigo	14–16	0.02	15%	4 Feb →
nuke	13–9	0.03	13%	4 Feb →
overpass	3–13	0.05	10%	4 Feb →
mirage	11–13	-0.02	17%	4 Feb →
mirage	9–13	0.06	14%	2 Feb →
anubis	13–8	0.05	11%	2 Feb →
ancient	13–11	0.02	19%	29 Jan →
inferno	13–11	-0.02	7%	28 Jan →
nuke	13–10	-0.01	13%	28 Jan →
vertigo	13–10	0.13	28%	23 Jan →
office	12–12	0.04	16%	10 Jan →
mirage	13–5	0.04	13%	7 Jan →
nuke	3–13	-0.00	5%	7 Jan →
mirage	2–13	-0.04	23%	5 Jan →
office	13–2	0.02	10%	5 Jan →
ancient	11–13	0.00	11%	30 Dec →
nuke	13–10	-0.00	22%	30 Dec →
vertigo	12–12	0.01	11%	24 Dec →
mirage	4–13	-0.07	11%	22 Dec →
vertigo	13–9	0.03	14%	22 Dec →
anubis	2–7	-0.22	0%	22 Dec →
office	10–13	-0.00	11%	21 Dec →
inferno	4–13	0.04	10%	19 Dec →
ancient	13–5	0.06	17%	19 Dec →
mirage	13–10	0.04	28%	19 Dec →
ancient	15–15	-0.02	25%	15 Dec →
mirage	13–9	0.04	19%	14 Dec →
ancient	11–13	0.03	23%	12 Dec →
nuke	13–10	0.01	16%	12 Dec →
mirage	13–9	0.03	18%	12 Dec →
vertigo	13–11	0.04	14%	8 Dec →
inferno	8–13	-0.03	18%	8 Dec →
mirage	13–2	-0.03	9%	8 Dec →
anubis	13–5	0.10	15%	7 Dec →
office	7–13	-0.04	18%	7 Dec →
vertigo	7–13	0.05	21%	7 Dec →