Onion Muncher — CS2 Stats

76561198132192432[U:1:171926704]Steam profile ↗✓ No bans

327Tracked matches53%Win rate2025Tracked since

CSDB Rating3.7 Learning

Premier CS Rating5,612Light Blue band · top ~75.9% of ranked players (population est.)

CSDB Leaderboard#17346 of 22711 tracked

WingmanSilver IV

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning39

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateLWWWWLLLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim3.3

Aggression4.6

Utility4.1

Positioning3.9

Opening Duels0.7

Clutch6.0

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 76% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 708ms 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

Aim3.3

Positioning3.9

Utility4.1

Mechanics6.9

Opening Duels1.0

Win Impact6.1

Composite 3.7/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time692ms+19ms

first ⅓ avg 672ms → last ⅓ avg 692ms

Headshot accuracy13.8%−0.6%

first ⅓ avg 14.4% → last ⅓ avg 13.8%

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

0.23Best rating — vertigo 9–3

13–1Biggest win — anubis

6Longest win streak

7–3In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 77% over 13mirageWeakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	16–9	64%	-0.03
inferno	B	23	12–11	52%	-0.01
mirage	C	16	7–9	44%	-0.03
vertigo	S	13	10–3	77%	0.06
overpass	A	10	6–4	60%	-0.02
anubis	S	6	4–2	67%	0.01
nuke	—	3	1–2	33%	0.08
train	—	2	1–1	50%	0.03
cache	—	1	0–1	0%	-0.06
ancient	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches

25%Win rate

0.84Avg K/D

64.6ADR

30%Headshot %

Clutches & streaks

50%1v1 clutch win

50%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.75	13.5
Nuke	1	100%	1.25	15.0
Ancient	1	0%	0.59	10.0

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.

13.9%Headshot accuracy

28.6%Accuracy (enemy spotted)

27.2%Spray accuracy

81.2%Counter-strafing

11.1°Preaim

708msReaction time

27.2%T opening success

38.1%CT opening success

0.50Enemies flashed / flash

4.9%Flash assists

9.17HE damage / grenade

6.96Flashes / 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 13.9075% — below the 15% mark we flag
Aim Training →
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 708.1022ms — above the 700ms 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 0.4999 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	-0.11	15%	28 Aug →
vertigo	9–1	0.19	14%	26 Jun →
inferno	9–6	0.04	12%	26 Jun →
inferno	9–2	-0.10	50%	26 Jun →
dust2	13–8	-0.03	12%	26 Jun →
cache	3–13	-0.06	20%	8 May →
dust2	0–10	-0.12	0%	17 Apr →
train	9–13	-0.06	3%	13 Apr →
inferno	13–2	-0.04	10%	13 Apr →
dust2	13–2	-0.04	12%	13 Apr →
overpass	13–3	0.04	10%	13 Apr →
overpass	13–11	-0.09	11%	11 Apr →
vertigo	13–6	0.01	11%	11 Apr →
inferno	2–13	-0.10	11%	11 Apr →
anubis	13–3	-0.01	3%	11 Apr →
dust2	13–7	-0.02	14%	11 Apr →
vertigo	13–8	0.01	11%	9 Apr →
vertigo	0–4	-0.02	7%	9 Apr →
dust2	5–13	-0.06	12%	9 Apr →
dust2	8–13	-0.10	10%	8 Apr →
inferno	13–6	-0.09	4%	7 Apr →
mirage	13–8	-0.01	23%	7 Apr →
dust2	13–3	-0.01	13%	7 Apr →
vertigo	7–9	0.04	20%	7 Apr →
inferno	6–9	0.02	28%	7 Apr →
nuke	3–9	0.11	20%	7 Apr →
inferno	0–9	0.00	0%	7 Apr →
overpass	11–13	-0.03	16%	5 Apr →
mirage	10–13	-0.01	19%	5 Apr →
anubis	13–1	0.06	18%	5 Apr →
mirage	6–13	-0.01	15%	5 Apr →
vertigo	13–11	-0.01	8%	5 Apr →
overpass	8–13	0.01	28%	5 Apr →
dust2	10–13	-0.03	16%	5 Apr →
inferno	8–13	-0.10	25%	4 Apr →
inferno	13–6	0.03	22%	4 Apr →
vertigo	13–6	-0.00	19%	4 Apr →
overpass	13–2	-0.01	12%	4 Apr →
mirage	13–6	-0.07	11%	4 Apr →
anubis	13–2	0.03	12%	4 Apr →
dust2	4–13	-0.03	18%	4 Apr →
overpass	6–13	-0.09	10%	31 Mar →
dust2	13–11	-0.08	17%	31 Mar →
inferno	7–13	-0.07	11%	31 Mar →
dust2	13–4	0.06	31%	31 Mar →
mirage	2–13	-0.10	10%	31 Mar →
vertigo	9–3	0.16	13%	31 Mar →
inferno	6–9	-0.05	14%	31 Mar →
overpass	9–7	-0.03	18%	30 Mar →
vertigo	9–1	0.08	29%	30 Mar →
inferno	9–2	0.08	12%	30 Mar →
inferno	0–9	0.00	0%	30 Mar →
nuke	9–4	0.13	22%	30 Mar →
mirage	8–13	-0.08	9%	30 Mar →
dust2	12–12	0.00	14%	30 Mar →
inferno	5–13	0.03	14%	30 Mar →
overpass	13–3	-0.00	11%	30 Mar →
inferno	13–2	0.12	20%	30 Mar →
dust2	13–5	-0.08	18%	30 Mar →
mirage	13–1	0.04	20%	30 Mar →
anubis	12–12	-0.03	13%	30 Mar →
vertigo	7–9	0.04	16%	30 Mar →
vertigo	9–3	0.23	27%	30 Mar →
nuke	8–8	0.01	13%	30 Mar →
inferno	9–2	0.11	11%	30 Mar →
dust2	7–13	-0.04	19%	29 Mar →
ancient	5–13	0.01	15%	29 Mar →
overpass	8–13	0.01	19%	29 Mar →
vertigo	13–11	0.04	14%	29 Mar →
mirage	13–10	-0.01	18%	29 Mar →
dust2	13–9	0.03	28%	29 Mar →
inferno	11–6	-0.01	7%	28 Mar →
dust2	9–13	-0.08	0%	27 Mar →
mirage	10–13	0.03	15%	27 Mar →
anubis	13–8	0.07	17%	26 Mar →
dust2	13–5	0.04	21%	26 Mar →
mirage	12–12	-0.04	20%	25 Mar →
inferno	12–12	-0.00	20%	25 Mar →
mirage	8–13	-0.00	16%	25 Mar →
train	13–6	0.12	13%	24 Mar →
inferno	13–11	-0.02	14%	24 Mar →
dust2	13–6	-0.04	12%	24 Mar →
vertigo	13–5	-0.01	11%	24 Mar →
mirage	13–6	-0.01	10%	24 Mar →
dust2	13–11	0.04	11%	24 Mar →
dust2	8–13	-0.08	17%	23 Mar →
inferno	12–12	-0.04	14%	22 Mar →
mirage	13–4	0.00	6%	22 Mar →
dust2	13–10	-0.04	17%	22 Mar →
anubis	8–13	-0.04	13%	22 Mar →
dust2	13–2	-0.04	13%	22 Mar →
inferno	13–1	0.00	16%	22 Mar →
overpass	13–8	-0.02	9%	22 Mar →
dust2	13–10	-0.04	15%	22 Mar →
mirage	7–13	-0.05	12%	21 Mar →
inferno	13–4	-0.04	15%	21 Mar →
mirage	13–8	-0.02	20%	21 Mar →
dust2	13–6	-0.01	29%	21 Mar →
dust2	13–8	-0.01	14%	20 Mar →
inferno	0–13	-0.09	0%	17 Mar →