augg1e

augg1e — CS2 Stats

US76561198064692202[U:1:104426474]Steam profile ↗✓ No bans

2,674Tracked matches55%Win rate2020Tracked since
4,954Hours in CS9Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating14,285Blue band · top ~32.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,285 -4,223 2 Sept – 28 Oct · 4 days played
13,86718,508peak 18,5082 Sept28 Oct
18,508Peak Premier in tracked matches
28Days played since 2026-09-02

Premier CS Rating

  • 4,223 below peak (18,508)
  • Next: Purple band at 15,000 — 715 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.3%42.7%43.8%4.5% short
Shot accuracy13.1%11.2%12.0%above
Kill/death ratio1.010.991.02meets
Match win rate38.5%43.9%44.7%6.2% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGaugg1eFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,285 · Blue bandcsdb.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

Aim35
Positioning47
Utility44

0–100 skill scores via Leetify.

Recent form

HOT38–56–6Last 10038%Win rateWWLWWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · −1ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 688ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

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 (+2 against its own average).

Aim3.5
Utility4.4
Positioning4.7
Opening Duels1.7
Clutch0.0

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

ZywOo

Plays most like ZywOo 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 655ms 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

Aim3.5
Positioning4.7
Utility4.4
Mechanics6.3
Opening Duels2.1
Win Impact6.7

Composite 4.3/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time665ms+58ms
first ⅓ avg 607ms → last ⅓ avg 665ms
Headshot accuracy13.6%−4.4%
first ⅓ avg 18.0% → last ⅓ avg 13.6%

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

0.26Best match rating · 9–3 · debris, 23 Sept →
29%Best headshot accuracy · 5–13 · office, 19 Sept →
453msFastest reaction time · 4–13 · office, 19 Sept →
13–0Biggest win · vertigo, 13 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak

Map breakdown

vertigoBest map · 50% over 14cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2914–1548%-0.01
officeD227–1532%-0.02
vertigoB147–750%-0.01
dust2C83–538%-0.05
mirageB63–350%-0.01
ancientD61–517%-0.02
cacheD50–50%-0.04
inferno—42–250%-0.03
anubis—10–10%0.01
rush_001—10–10%-0.01
fachwerk—10–10%-0.13
debris—11–0100%0.26
italy—10–10%-0.05
shelter—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

116,990Lifetime kills
1.01K/D · Top 50% of Level 4 players
7,150Matches
38.5%Match win rate
39.3%Headshot %
13.1%Shot accuracy · Top 50% of Level 4 players
11,908MVPs
2,115Hours (in match)
3,845Bombs planted
1,290Bombs defused

Most-used weapons

AK-4726,973
AWP7,865
MP95,776
MAC-104,686
FAMAS3,857

Lifetime map wins

11,247nuke
8,245dust2
4,004office
2,881inferno
2,735vertigo
1,450train
530cbble
493italy

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

Faceit stats

Combat

43Matches
58%Win rate
0.92Avg K/D
65.9ADR
44%Headshot %

Clutches & streaks

17%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
CONTEST Artemis5100%1.0816.4
Cache3100%0.7611.3
CONTEST Panlong367%0.8311.0
Nuke20%0.8011.5
Dust2250%1.1014.5
Inferno250%1.0217.0
CONTEST Coaline1100%0.9211.0
CONTEST Nevis10%0.285.0

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
28.9%Accuracy (enemy spotted)
32.6%Spray accuracy
78.5%Counter-strafing
12.7°Preaim
655msReaction time
38.1%T opening success
38.9%CT opening success
0.55Enemies flashed / flash
6.6%Flash assists
8.85HE damage / grenade
5.93Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6998° — above the 12° mark we flag

    Aim Training →
  2. 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 13.8228% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office13–9-0.087%14 Nov →
mirage13–90.0925%14 Nov →
mirage10–13-0.0221%14 Nov →
vertigo13–50.0217%11 Nov →
nuke13–30.1015%11 Nov →
nuke13–9-0.0413%11 Nov →
mirage8–8-0.038%8 Nov →
vertigo13–80.0116%5 Nov →
nuke13–6-0.0711%5 Nov →
dust213–6-0.087%4 Nov →
office5–130.0112%1 Nov →
vertigo13–9-0.0521%28 Oct →
nuke13–10.148%28 Oct →
vertigo13–30.077%28 Oct →
mirage13–8-0.0212%28 Oct →
cache7–13-0.046%27 Oct →
cache5–13-0.0817%27 Oct →
nuke10–13-0.0511%24 Oct →
cache9–13-0.0414%24 Oct →
inferno13–4-0.0424%24 Oct →
inferno13–11-0.0112%24 Oct →
nuke13–50.0614%24 Oct →
nuke9–13-0.0411%24 Oct →
ancient3–13-0.099%24 Oct →
ancient1–13-0.0413%24 Oct →
dust25–13-0.0722%24 Oct →
anubis6–130.016%23 Oct →
nuke12–12-0.008%23 Oct →
nuke13–70.0919%23 Oct →
office10–13-0.0422%21 Oct →
nuke13–20.0312%19 Oct →
nuke13–5-0.056%18 Oct →
nuke12–12-0.0122%18 Oct →
nuke2–130.0113%18 Oct →
nuke10–13-0.015%14 Oct →
vertigo5–13-0.0012%14 Oct →
vertigo9–130.0111%13 Oct →
vertigo13–0-0.0110%13 Oct →
nuke13–10-0.1016%13 Oct →
dust210–13-0.0320%12 Oct →
nuke6–13-0.1111%11 Oct →
nuke13–50.0015%11 Oct →
nuke4–13-0.0315%11 Oct →
rush_0017–8-0.0111%11 Oct →
dust22–13-0.0713%4 Oct →
ancient9–13-0.0118%4 Oct →
nuke8–13-0.0820%30 Sept →
vertigo4–13-0.1613%30 Sept →
vertigo13–80.0215%30 Sept →
office10–130.0514%29 Sept →
nuke6–13-0.0615%29 Sept →
nuke13–40.0113%29 Sept →
office13–10-0.0821%28 Sept →
inferno3–13-0.0110%28 Sept →
inferno10–13-0.0721%28 Sept →
dust28–20.0126%28 Sept →
cache1–13-0.0310%28 Sept →
mirage13–80.0314%28 Sept →
vertigo12–120.0120%28 Sept →
fachwerk8–13-0.138%28 Sept →
nuke13–10-0.030%27 Sept →
nuke13–90.0317%27 Sept →
ancient6–130.0323%27 Sept →
nuke6–13-0.064%27 Sept →
nuke4–130.0114%27 Sept →
ancient13–60.0112%27 Sept →
office13–30.037%27 Sept →
vertigo5–13-0.0619%25 Sept →
office13–70.0319%25 Sept →
office9–10.0311%25 Sept →
office3–130.0313%25 Sept →
nuke13–80.0717%25 Sept →
debris9–30.2624%23 Sept →
vertigo13–6-0.0110%23 Sept →
mirage3–13-0.0827%23 Sept →
ancient4–13-0.0419%22 Sept →
office7–13-0.0222%22 Sept →
office13–60.0321%22 Sept →
office12–120.0410%21 Sept →
vertigo4–130.048%21 Sept →
nuke8–13-0.0814%21 Sept →
dust25–13-0.059%21 Sept →
nuke7–13-0.0215%21 Sept →
office9–130.0120%21 Sept →
office13–4-0.0623%21 Sept →
nuke12–12-0.0516%21 Sept →
vertigo8–130.0124%21 Sept →
dust213–6-0.0320%21 Sept →
office9–13-0.0627%21 Sept →
office12–12-0.0312%21 Sept →
office10–13-0.0314%21 Sept →
cache2–13-0.0220%21 Sept →
office8–13-0.0916%20 Sept →
office6–13-0.0724%20 Sept →
italy5–13-0.0513%20 Sept →
dust210–13-0.079%19 Sept →
office4–13-0.0716%19 Sept →
shelter3–13-0.0427%19 Sept →
office0–13-0.0925%19 Sept →
office5–13-0.0729%19 Sept →

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 →

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