Garlicman — CS2 Stats

US76561198292848422[U:1:332582694]Steam profile ↗✓ No bans

1,224Tracked matches59%Win rate2023Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating14,841Blue band · top ~29.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning39

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateTLWWWTWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression5.0

Utility4.7

Positioning3.9

Opening Duels0.0

Clutch2.6

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim7.2

Positioning3.9

Utility4.7

Mechanics6.1

Opening Duels0.7

Win Impact8.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time541ms−53ms

first ⅓ avg 594ms → last ⅓ avg 541ms

Headshot accuracy14.3%+0.3%

first ⅓ avg 14.0% → last ⅓ avg 14.3%

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 13–4

13–1Biggest win — nuke

5Longest win streak

7–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 73% over 11ancientWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	-0.01
mirage	B	19	10–9	53%	-0.01
nuke	B	14	7–7	50%	0.01
ancient	B	13	6–7	46%	-0.01
cache	S	11	8–3	73%	0.01
inferno	S	6	4–2	67%	0.03
anubis	A	5	3–2	60%	0.02
office	—	3	2–1	67%	-0.04
overpass	—	3	0–3	0%	-0.00
train	—	2	0–2	0%	-0.01
fachwerk	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches

77%Win rate

0.91Avg K/D

63.0ADR

36%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	75%	0.86	11.8
Anubis	3	100%	1.01	9.3
Ancient	2	100%	1.02	17.5
Overpass	1	100%	0.92	12.0
Nuke	1	0%	0.64	9.0
Dust2	1	100%	1.09	12.0
Inferno	1	0%	0.71	12.0

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.

13.8%Headshot accuracy

36.2%Accuracy (enemy spotted)

40.6%Spray accuracy

77.3%Counter-strafing

9.9°Preaim

535msReaction time

24.0%T opening success

35.7%CT opening success

0.56Enemies flashed / flash

4.4%Flash assists

7.38HE damage / grenade

10.24Flashes / 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 13.7785% — 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 24.0332% — 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.

46% win rate across 13 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
nuke	15–15	0.04	16%	30 Aug →
ancient	8–13	0.00	12%	29 Aug →
mirage	13–7	0.01	13%	29 Aug →
mirage	13–11	-0.01	2%	28 Aug →
ancient	13–8	0.01	6%	28 Aug →
mirage	15–15	0.01	13%	27 Aug →
nuke	13–1	0.04	35%	27 Aug →
ancient	4–13	0.01	22%	26 Aug →
anubis	10–13	-0.01	7%	24 Aug →
dust2	11–13	-0.04	8%	24 Aug →
cache	13–8	0.05	12%	23 Aug →
dust2	13–4	0.08	11%	23 Aug →
ancient	13–3	0.09	10%	23 Aug →
dust2	10–13	-0.03	9%	23 Aug →
mirage	13–10	0.00	14%	23 Aug →
nuke	16–13	0.01	11%	20 Aug →
cache	13–9	0.11	10%	20 Aug →
ancient	13–8	-0.02	11%	20 Aug →
ancient	9–13	0.04	10%	17 Aug →
train	4–13	-0.02	15%	17 Aug →
fachwerk	12–12	-0.03	27%	16 Aug →
cache	13–2	0.10	21%	16 Aug →
dust2	13–8	-0.03	7%	16 Aug →
cache	13–11	-0.01	25%	15 Aug →
ancient	7–13	-0.08	16%	12 Aug →
inferno	6–13	0.05	20%	12 Aug →
nuke	13–10	0.01	14%	12 Aug →
nuke	6–13	-0.04	13%	11 Aug →
dust2	3–13	-0.03	11%	10 Aug →
mirage	13–9	0.03	24%	10 Aug →
dust2	10–13	0.00	11%	10 Aug →
nuke	13–4	0.11	18%	10 Aug →
dust2	13–4	0.07	18%	5 Aug →
dust2	8–13	-0.05	14%	4 Aug →
mirage	7–13	-0.02	7%	4 Aug →
anubis	15–15	0.05	9%	3 Aug →
mirage	10–13	0.03	18%	3 Aug →
dust2	13–8	-0.07	9%	2 Aug →
anubis	13–8	0.07	16%	1 Aug →
ancient	3–13	-0.06	15%	19 Jul →
nuke	3–13	-0.08	18%	19 Jul →
cache	13–11	-0.05	19%	19 Jul →
nuke	10–13	-0.00	10%	18 Jul →
cache	8–13	-0.02	14%	18 Jul →
ancient	3–13	0.02	7%	16 Jul →
mirage	13–7	-0.03	19%	16 Jul →
mirage	13–3	0.03	21%	15 Jul →
mirage	13–10	-0.05	15%	10 Jul →
dust2	9–13	-0.00	11%	10 Jul →
inferno	11–13	0.00	16%	9 Jul →
dust2	13–8	0.04	15%	9 Jul →
train	7–13	-0.00	6%	8 Jul →
dust2	13–6	0.00	11%	7 Jul →
mirage	10–13	-0.09	7%	7 Jul →
mirage	8–13	0.03	16%	1 Jul →
ancient	10–13	-0.04	4%	30 Jun →
dust2	16–14	-0.04	9%	30 Jun →
ancient	13–6	0.01	28%	25 Jun →
mirage	4–13	-0.05	7%	25 Jun →
anubis	13–10	-0.01	14%	25 Jun →
nuke	13–7	0.01	15%	24 Jun →
dust2	11–13	-0.05	13%	24 Jun →
dust2	13–8	0.10	18%	18 Jun →
anubis	13–7	-0.00	15%	18 Jun →
nuke	13–9	0.09	19%	9 Jun →
nuke	13–5	0.05	12%	6 Jun →
dust2	6–13	-0.03	18%	6 Jun →
dust2	13–9	-0.01	17%	6 Jun →
office	6–13	-0.04	22%	31 May →
mirage	13–3	-0.02	24%	28 May →
dust2	8–13	-0.02	14%	28 May →
overpass	5–11	-0.06	3%	27 May →
mirage	15–15	0.04	9%	27 May →
cache	13–9	-0.02	20%	22 May →
office	13–11	-0.04	23%	16 May →
overpass	12–12	0.01	13%	15 May →
dust2	16–13	0.04	9%	15 May →
dust2	13–8	0.03	13%	13 May →
inferno	13–9	0.07	12%	7 May →
nuke	7–13	-0.02	14%	7 May →
mirage	10–13	0.00	11%	6 May →
cache	8–13	0.02	13%	2 May →
nuke	8–13	-0.07	7%	1 May →
cache	11–13	-0.03	17%	30 Apr →
cache	13–10	-0.03	13%	30 Apr →
cache	13–8	0.01	14%	30 Apr →
inferno	13–8	-0.07	6%	28 Apr →
mirage	13–7	0.01	8%	28 Apr →
dust2	13–9	0.02	10%	28 Apr →
mirage	7–13	-0.04	17%	28 Apr →
inferno	13–7	0.06	13%	28 Apr →
overpass	11–13	0.04	13%	28 Apr →
ancient	16–14	-0.01	13%	26 Apr →
inferno	13–3	0.07	18%	24 Apr →
ancient	4–3	-0.05	25%	24 Apr →
dust2	6–13	-0.04	14%	24 Apr →
dust2	7–13	-0.11	15%	24 Apr →
office	13–10	-0.04	24%	22 Apr →
nuke	7–13	0.02	8%	22 Apr →
mirage	13–1	-0.04	8%	22 Apr →