OnionMuncher

OnionMuncher — CS2 Stats

AU76561198133764361[U:1:173498633]Steam profile ↗✓ No bans

2,174Tracked matches57%Win rate2020Tracked since
5,052Hours in CS11Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+32Tracked matches · now 2,174
−10.0ppWin rate · 66.7% → 56.7%

Rating over time

18,693Peak Premier in tracked matches
37Days played since 2025-10-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate31.8%41.8%42.7%11.0% short
Shot accuracy17.2%12.2%11.2%above
Kill/death ratio1.210.980.99above
Match win rate40.3%43.3%43.9%3.6% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGOnionMuncherFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim49
Positioning56
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateLLWWWWWLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +0.7pp headshot accuracy · −88ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 436ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 427ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 471ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.9
Utility5.8
Positioning5.6
Opening Duels1.3

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 48% on T to 33% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9
Positioning5.6
Utility5.8
Mechanics4.0
Opening Duels2.7
Win Impact7.2

Composite 5.1/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time483ms−88ms
first ⅓ avg 572ms → last ⅓ avg 483ms
Headshot accuracy15.0%−0.9%
first ⅓ avg 15.9% → last ⅓ avg 15.0%

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.

Personal bests

0.13Best match rating · 13–2 · vertigo, 26 Aug →
32%Best headshot accuracy · 1–13 · nuke, 17 Mar →
313msFastest reaction time · 2–13 · mirage, 27 Oct →
13–0Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%-0.01
mirageA127–558%-0.03
infernoA117–464%0.01
cacheA117–464%0.01
nukeS97–278%-0.01
ancientC52–340%-0.02
overpassC52–340%0.06
office—44–0100%0.03
anubis—41–325%-0.01
vertigo—41–325%0.07
alpine—21–150%0.03
stronghold—22–0100%0.04
train—11–0100%-0.05
italy—10–10%0.05
warden—10–10%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

176,420Lifetime kills
1.21K/D · Top 25% of Level 3 players
9,150Matches
40.3%Match win rate
31.8%Headshot %
17.2%Shot accuracy · Top 25% of Level 3 players
15,729MVPs
2,910Hours (in match)
7,062Bombs planted
1,232Bombs defused

Most-used weapons

AK-4737,469
SG 55310,582
AWP10,577
AUG9,142
SCAR-206,378
MP95,526

Lifetime map wins

19,748inferno
7,343dust2
3,975office
3,970nuke
1,976vertigo
899train
737italy
602cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy
26.9%Accuracy (enemy spotted)
31.6%Spray accuracy
67.8%Counter-strafing
10.0°Preaim
485msReaction time
48.3%T opening success
33.0%CT opening success
0.56Enemies flashed / flash
11.0%Flash assists
14.74HE damage / grenade
4.01Flashes / 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.

  1. 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 14.8858% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.9683% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0516%27 Oct →
nuke7–13-0.0313%27 Oct →
ancient13–4-0.0517%24 Oct →
mirage13–7-0.0511%24 Oct →
mirage13–8-0.0114%24 Oct →
office13–90.0322%23 Oct →
inferno13–7-0.0511%23 Oct →
dust27–130.0712%23 Oct →
cache4–13-0.0125%23 Oct →
dust216–140.0412%23 Oct →
nuke16–13-0.0114%23 Oct →
cache8–130.0112%22 Oct →
ancient8–13-0.0720%21 Oct →
dust29–13-0.0111%18 Oct →
mirage13–11-0.0116%18 Oct →
cache10–130.008%12 Oct →
dust211–13-0.0317%12 Oct →
ancient10–13-0.0210%11 Oct →
cache16–12-0.0017%11 Oct →
dust213–00.0520%11 Oct →
ancient13–50.0514%20 Sept →
anubis13–5-0.0311%20 Sept →
dust213–7-0.0121%20 Sept →
mirage13–7-0.049%20 Sept →
inferno1–13-0.0323%20 Sept →
cache13–6-0.0413%20 Sept →
train13–10-0.0521%18 Sept →
dust26–13-0.0511%18 Sept →
dust27–13-0.0817%18 Sept →
cache16–130.0014%12 Sept →
dust213–100.0316%12 Sept →
cache13–100.0816%12 Sept →
dust213–60.0711%28 Aug →
office13–4-0.0125%28 Aug →
mirage13–100.0120%28 Aug →
dust28–13-0.057%26 Aug →
vertigo13–20.1318%26 Aug →
inferno13–80.0218%26 Aug →
mirage13–9-0.0319%26 Aug →
dust212–12-0.0313%21 Aug →
cache13–6-0.0411%21 Aug →
dust211–13-0.0117%21 Aug →
dust213–9-0.025%2 Aug →
dust213–4-0.0411%2 Aug →
dust213–10.0419%2 Aug →
dust213–7-0.0421%24 Jul →
overpass7–130.0215%24 Jul →
dust213–8-0.0115%14 Jun →
cache13–60.0817%9 Jun →
dust22–13-0.036%9 Jun →
dust212–3-0.0111%9 Jun →
dust213–6-0.0413%9 Jun →
cache13–70.0411%6 May →
cache12–12-0.0219%29 Apr →
anubis9–130.058%3 Apr →
dust23–13-0.019%3 Apr →
mirage13–8-0.0421%3 Apr →
mirage2–13-0.0820%3 Apr →
overpass13–80.0318%1 Apr →
inferno8–130.0616%1 Apr →
vertigo12–120.0714%1 Apr →
mirage8–130.0720%24 Mar →
nuke13–10-0.0418%24 Mar →
inferno13–80.0419%24 Mar →
nuke1–13-0.0232%17 Mar →
vertigo10–130.0212%17 Mar →
nuke13–90.0215%6 Mar →
inferno13–90.0210%6 Mar →
inferno1–13-0.0512%4 Mar →
nuke13–6-0.0320%4 Mar →
nuke13–10-0.038%27 Feb →
inferno13–50.1218%27 Feb →
overpass3–130.0815%27 Feb →
overpass13–110.1020%25 Feb →
vertigo11–130.0713%12 Feb →
inferno5–130.0220%12 Feb →
nuke13–110.0311%12 Feb →
office13–50.0423%5 Feb →
nuke13–60.0619%5 Feb →
anubis9–13-0.0217%5 Feb →
overpass6–130.0618%5 Feb →
italy5–130.0520%5 Feb →
warden12–12-0.0013%23 Jan →
alpine13–70.067%23 Jan →
stronghold13–60.0511%23 Jan →
alpine10–13-0.0021%22 Jan →
anubis9–13-0.0310%22 Jan →
stronghold13–70.0315%22 Jan →
dust212–12-0.0618%22 Jan →
dust213–8-0.0511%23 Dec →
dust213–20.0711%23 Dec →
dust21–13-0.1224%23 Dec →
mirage12–120.0215%28 Nov →
ancient9–13-0.0016%28 Nov →
inferno13–7-0.0021%26 Nov →
inferno13–60.0113%15 Nov →
office13–60.0619%15 Nov →
dust213–60.0216%15 Nov →
dust213–50.0620%28 Oct →
mirage3–13-0.0821%28 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.