aumaN

aumaN — CS2 Stats

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CN76561198006489426[U:1:46223698]Steam profile ↗✓ No bans

314Tracked matches70%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 314 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 5 Oct 2020. Come back after the next session and the change shows above.

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Rating over time

36Days played since 2020-10-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGaumaNFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning53
Utility81

0–100 skill scores via Leetify.

Recent form

HOT6634Last 10066%Win rateWWWWWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +5.7pp headshot accuracy · +10ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 566ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

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: SupportUtility contribution stands above the rest of this profile (+2.4 against its own average).

Aim6.6
Utility8.1
Positioning5.3
Opening Duels3.7

High utility contribution

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

Twistzz

Plays most like Twistzz 70% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 47% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim6.6
Positioning5.3
Utility8.1
Mechanics5.5
Opening Duels2.1
Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time555ms+34ms
first ⅓ avg 521ms → last ⅓ avg 555ms
Headshot accuracy16.6%+0.9%
first ⅓ avg 15.7% → last ⅓ avg 16.6%

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 · 16–9 · nuke, 25 Apr
32%Best headshot accuracy · 16–5 · vertigo, 24 Dec
348msFastest reaction time · 15–10 · inferno, 18 Dec
16–0Biggest win · train, 25 Apr

Across the last 100 tracked matches.

Highlights

8Longest win streak
W5Current streak
134In matches decided by ≤2 rounds
92Overtime games

Map breakdown

nukeBest map · 88% over 16trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS2417771%0.01
mirageA2415963%-0.01
nukeS1614288%0.01
ancientA95456%0.00
overpassS96367%-0.00
vertigoS86275%0.01
trainC83538%0.02
anubis2020%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

123Matches
72%Win rate
1.45Avg K/D
ADR
46%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno450%1.0316.3
Nuke333%0.9912.3
Anubis367%1.1518.3
Mirage250%1.3812.0
Vertigo2100%1.7120.5
Ancient2100%2.1420.5
Overpass1100%1.1523.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$561Inventory value16ItemsFull inventory breakdown →
MAC-10 | Neon Rider (Factory New)$195AWP | Printstream (Minimal Wear)$105StatTrak™ Desert Eagle | Crimson Web (Minimal Wear)$103StatTrak™ Five-SeveN | Case Hardened (Minimal Wear)$52Souvenir XM1014 | Elegant Vines (Factory New)$45Souvenir MAG-7 | Silver (Factory New)$22

Skill profile

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

15.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.3%Spray accuracy
74.7%Counter-strafing
10.8°Preaim
552msReaction time
0.0%T opening success
46.9%CT opening success
0.63Enemies flashed / flash
11.1%Flash assists
10.90HE damage / grenade
30.99Flashes / 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. 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 0% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno13–40.0622%17 Feb
vertigo13–11-0.0021%17 Feb
mirage13–40.0223%16 Feb
ancient13–40.0923%16 Feb
ancient13–11-0.0221%15 Feb
anubis2–13-0.0526%15 Feb
vertigo13–60.1119%15 Feb
nuke11–13-0.0816%10 Dec
inferno10–14-0.0716%7 Dec
inferno19–16-0.0212%6 Dec
anubis7–16-0.073%19 Feb
mirage9–16-0.0515%19 Feb
inferno16–100.0515%19 Feb
inferno16–120.0315%18 Feb
nuke16–120.0211%18 Feb
nuke7–160.0219%17 Feb
inferno16–20.0023%17 Feb
vertigo16–140.0217%16 Feb
vertigo22–200.0216%16 Feb
mirage16–13-0.0311%16 Feb
mirage16–120.0215%8 Jan
inferno16–30.0615%8 Jan
vertigo11–16-0.0512%8 Jan
mirage16–60.0429%8 Jan
mirage8–160.0117%8 Jan
overpass13–17-0.0311%25 Dec
nuke16–15-0.0512%25 Dec
inferno16–50.0212%25 Dec
inferno16–6-0.0215%25 Dec
mirage16–40.0215%25 Dec
inferno16–50.0916%24 Dec
vertigo16–5-0.0032%24 Dec
ancient12–17-0.064%27 Mar
mirage17–20-0.0119%27 Mar
mirage16–90.028%27 Mar
nuke16–3-0.043%27 Mar
ancient12–16-0.028%26 Mar
inferno13–17-0.0013%26 Mar
nuke16–30.029%23 Mar
mirage16–30.0226%23 Mar
inferno9–16-0.0414%27 Feb
overpass8–16-0.0414%27 Feb
overpass16–90.0328%27 Feb
overpass16–70.0718%27 Feb
inferno16–60.0213%27 Feb
inferno16–60.0213%27 Feb
ancient12–16-0.0317%27 Feb
ancient16–50.0213%27 Feb
ancient16–50.0413%27 Feb
nuke16–50.1218%26 Feb
nuke16–130.0111%18 Dec
mirage16–110.0216%18 Dec
vertigo16–19-0.047%18 Dec
inferno15–100.0018%18 Dec
mirage5–16-0.0525%10 Oct
inferno11–170.0112%10 Oct
nuke16–15-0.0315%9 Oct
mirage16–17-0.0417%9 Oct
ancient2–16-0.0421%7 Oct
mirage8–17-0.0315%7 Oct
overpass18–150.0021%5 Oct
nuke16–100.0419%5 Oct
nuke16–9-0.0212%29 Aug
ancient16–80.0613%29 Aug
mirage16–12-0.0213%29 Aug
overpass16–15-0.0113%29 Aug
nuke16–40.0323%28 Aug
nuke16–4-0.0017%28 Aug
inferno5–16-0.0111%7 Jul
mirage7–16-0.088%7 Jul
mirage10–18-0.0624%6 Jul
vertigo16–140.0115%3 May
overpass16–14-0.0310%3 May
mirage16–100.0111%3 May
inferno13–160.0111%3 May
mirage16–9-0.0317%30 Apr
train12–160.0122%30 Apr
overpass12–17-0.0115%30 Apr
train19–170.0511%28 Apr
inferno14–160.0213%28 Apr
nuke19–18-0.0318%28 Apr
train16–00.0921%25 Apr
nuke16–90.1321%25 Apr
inferno16–80.0119%21 Apr
mirage16–110.0118%21 Apr
train7–170.0016%3 Dec
mirage16–90.0015%3 Dec
inferno16–70.0019%3 Dec
mirage14–220.0011%12 Oct
train16–90.0021%12 Oct
inferno16–40.0012%12 Oct
train14–160.001%10 Oct
overpass19–170.007%10 Oct
mirage19–160.0015%10 Oct
inferno16–130.0021%10 Oct
train14–190.0017%10 Oct
nuke16–130.0020%10 Oct
inferno21–190.0018%5 Oct
train6–170.0025%5 Oct
mirage16–70.0017%5 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →