Onion Hat Man

Onion Hat Man — CS2 Stats

76561198077763646[U:1:117497918]Steam profile ↗✓ No bans

3,777Tracked matches45%Win rate2020Tracked since
7,906Hours in CS15Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
FaceitLevel 10 · 2,887 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,887 → 2,887
+21Tracked matches · now 3,777
−3.5ppWin rate · 48.3% → 44.8%

Rating over time

2,887Highest Faceit ELO seen on CSDB
53Days played since 2025-12-28

Faceit ELO

  • At peak — 2,887
  • Next: 3,000 ELO at 3,000 — 113 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-14
  • Level 10 first seen 2026-09-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches26——
Win rate50%——
K/D0.48——
Headshot %66%——

Measured 9 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate67.5%50.9%
Shot accuracy15.1%13.7%
Kill/death ratio0.761.09
Match win rate41.7%48.4%

Share this profile

CSDB.GGOnion Hat ManFACEITLevel 10 · 2,887 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,887csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim90
Positioning71
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY46–43–11Last 10046%Win rateWLWWLWLWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.0pp headshot accuracy · +24ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 515ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 503ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim9.0
Utility6.5
Positioning7.1
Opening Duels5.2
Clutch4.4

Sharp aimerStrong CT-side opener

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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

Aim9.0
Positioning7.1
Utility6.5
Mechanics7.8
Opening Duels6.7
Win Impact3.3

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.04
first ⅓ avg 0.07 → last ⅓ avg 0.04
Reaction time497ms−79ms
first ⅓ avg 576ms → last ⅓ avg 497ms
Headshot accuracy18.7%−10.1%
first ⅓ avg 28.8% → last ⅓ avg 18.7%

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.

Personal bests

0.36Best match rating · 9–0 · inferno, 29 Jul →
58%Best headshot accuracy · 6–9 · inferno, 4 Jun →
359msFastest reaction time · 13–5 · ancient, 25 Jul →
13–0Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
infernoC207–1335%0.06
cacheB147–750%0.03
dust2C135–838%0.04
mirageA116–555%0.03
anubisC104–640%0.01
nukeB84–450%0.06
ancientA85–363%0.06
overpassB63–350%0.04
vertigo—31–233%0.10
office—31–233%0.04
debris—11–0100%0.08
train—10–10%0.11
golden—11–0100%0.08
italy—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

450,053Lifetime kills
0.76K/D
6,750Matches
41.7%Match win rate
67.5%Headshot % · Top 5% of Level 10 players
15.1%Shot accuracy · Top 50% of Level 10 players
21,063MVPs
60,660Hours (in match)
6,574Bombs planted
2,666Bombs defused

Most-used weapons

AK-47219,098
AWP55,489
SSG 085,551
P2504,334
FAMAS4,103

Lifetime map wins

15,064inferno
6,164dust2
4,274vertigo
4,118nuke
1,394train
341lake
316cbble
307office

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

Faceit stats

Combat

2,112Matches
53%Win rate
1.29Avg K/D
82.2ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient18353%1.2616.6
Anubis17457%1.3416.7
Inferno14855%1.3017.5
Nuke12554%1.2717.2
Mirage6237%1.2717.5
Overpass5256%1.2816.2
Vertigo4953%1.2717.0
Dust22658%1.2617.5

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.

19.0%Headshot accuracy
41.5%Accuracy (enemy spotted)
43.7%Spray accuracy
85.0%Counter-strafing
9.7°Preaim
501msReaction time
53.7%T opening success
59.8%CT opening success
0.57Enemies flashed / flash
9.4%Flash assists
9.12HE damage / grenade
10.18Flashes / match

Recommended for you

Spend your practice time on Inferno

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–130.0816%30 Sept →
nuke9–130.0723%30 Sept →
inferno13–50.0115%30 Sept →
overpass9–5-0.0418%22 Sept →
anubis5–13-0.0119%22 Sept →
ancient13–00.1113%20 Sept →
vertigo8–130.0115%18 Sept →
inferno13–60.0113%11 Sept →
cache13–100.0716%11 Sept →
ancient9–130.0415%11 Sept →
anubis7–13-0.0015%9 Sept →
ancient8–13-0.0511%7 Sept →
inferno8–130.0012%7 Sept →
nuke16–130.0218%7 Sept →
anubis16–12-0.0112%3 Sept →
inferno4–13-0.0019%28 Aug →
ancient13–70.0619%28 Aug →
inferno4–90.0410%27 Aug →
anubis10–13-0.0110%24 Aug →
cache6–130.0238%19 Aug →
debris9–60.0818%17 Aug →
dust25–130.1324%16 Aug →
dust22–13-0.0115%16 Aug →
mirage6–130.0226%16 Aug →
nuke8–80.1433%14 Aug →
inferno3–9-0.1517%14 Aug →
mirage12–120.0114%5 Aug →
cache8–130.0121%2 Aug →
ancient10–130.0513%2 Aug →
overpass8–130.1042%29 Jul →
inferno9–00.3623%29 Jul →
overpass3–9-0.0922%29 Jul →
inferno13–50.1122%25 Jul →
cache13–110.0625%25 Jul →
ancient13–50.0739%25 Jul →
nuke13–80.0322%23 Jul →
ancient13–100.0815%21 Jul →
anubis13–70.0121%21 Jul →
inferno11–13-0.0112%21 Jul →
dust213–20.0030%21 Jul →
mirage13–20.0319%19 Jul →
anubis13–50.0728%19 Jul →
ancient13–100.0814%11 Jul →
dust26–13-0.0121%10 Jul →
inferno8–80.1516%10 Jul →
cache4–13-0.0311%10 Jul →
inferno11–130.0621%8 Jul →
anubis7–13-0.0233%8 Jul →
dust214–160.0218%7 Jul →
anubis6–13-0.0121%6 Jul →
mirage13–80.0225%5 Jul →
anubis11–13-0.0016%5 Jul →
mirage9–13-0.0035%30 Jun →
cache3–13-0.0227%30 Jun →
inferno13–50.0621%28 Jun →
mirage13–11-0.0225%26 Jun →
dust213–30.0725%26 Jun →
cache13–90.0034%23 Jun →
dust212–120.0323%23 Jun →
inferno13–70.0929%23 Jun →
cache8–130.0526%23 Jun →
overpass8–80.1517%21 Jun →
inferno9–70.1522%21 Jun →
nuke4–9-0.0335%21 Jun →
overpass13–100.0430%21 Jun →
mirage12–120.0239%20 Jun →
inferno8–80.0031%20 Jun →
nuke5–90.0421%20 Jun →
nuke9–70.0333%4 Jun →
inferno6–90.0958%4 Jun →
train7–130.1131%27 May →
mirage6–40.1226%27 May →
cache7–130.0122%27 May →
cache13–60.1532%25 May →
cache13–110.0138%18 May →
vertigo8–80.0938%7 May →
overpass9–20.0615%7 May →
inferno8–80.1245%7 May →
cache12–120.0535%4 May →
cache13–30.0533%4 May →
cache13–100.0434%3 May →
vertigo9–40.2023%17 Apr →
inferno7–90.0129%17 Apr →
inferno2–130.0926%2 Apr →
dust213–90.0317%18 Feb →
mirage13–3-0.0116%18 Feb →
inferno12–120.1030%11 Feb →
dust213–50.0729%29 Jan →
dust29–13-0.0028%25 Jan →
anubis13–70.0917%24 Jan →
office11–130.0127%3 Jan →
nuke13–100.1729%2 Jan →
dust211–130.1925%1 Jan →
golden11–10.087%1 Jan →
dust25–13-0.0520%29 Dec →
mirage7–13-0.0029%29 Dec →
italy13–40.1131%29 Dec →
office5–130.0130%28 Dec →
office13–30.1027%28 Dec →
mirage13–20.1650%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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