AustiniTheWeeni

AustiniTheWeeni — CS2 Stats

76561198801572921[U:1:841307193]Steam profile ↗✓ No bans

1,820Tracked matches52%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating10,001Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 3 · 954 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (4 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: 10,001 +296 11 Sept – 13 Oct · 10 days played
9,58710,122peak 10,12211 Sept13 Oct
10,122Peak Premier in tracked matches
954Highest Faceit ELO seen on CSDB
35Days played since 2026-08-05

Faceit ELO

  • At peak — 954
  • Next: Level 5 at 1,051 — 97 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-16
  • Level 3 first seen 2026-09-16

Premier CS Rating

  • 121 below peak (10,122)
  • +296 over 30 days · steady
  • Next: Purple band at 15,000 — 4,999 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-16

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

Share this profile

CSDB.GGAustiniTheWeeniFACEITLevel 3 · 954 ELOSTANDINGTop 90.6% of rankedPREMIER10,001 · Blue bandPEAK ELO954csdb.gg/stats

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Performance scores

Aim53
Positioning58
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateWLLLWLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +43ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 637ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 615ms

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 (+1.7 against its own average).

Aim5.3
Utility3.5
Positioning5.8
Opening Duels4.3
Clutch2.6

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

s1mple

Plays most like s1mple 82% 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. 596ms 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

Aim5.3
Positioning5.8
Utility3.5
Mechanics4.6
Opening Duels5.3
Win Impact5.6

Composite 4.8/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time591ms−14ms
first ⅓ avg 605ms → last ⅓ avg 591ms
Headshot accuracy22.6%+1.0%
first ⅓ avg 21.6% → last ⅓ avg 22.6%

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

0.17Best match rating · 13–6 · ancient, 29 Aug →
47%Best headshot accuracy · 7–13 · office, 22 Sept →
422msFastest reaction time · 2–13 · mirage, 21 Sept →
13–1Biggest win · ancient, 3 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 67% over 9officeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB179–853%0.01
nukeB137–654%-0.00
officeD134–931%0.01
infernoB115–645%-0.01
dust2C114–736%-0.00
vertigoS96–367%0.01
ancientA95–456%0.05
trainA53–260%-0.01
cache—43–175%-0.02
anubis—41–325%0.02
overpass—21–150%-0.04
italy—10–10%-0.04
fachwerk—11–0100%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

105Matches
50%Win rate
0.97Avg K/D
71.6ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3250%1.0114.3
Dust22339%0.8915.0
Inferno1638%0.8312.8
Nuke1275%1.1017.2
Overpass757%0.6312.0
Ancient633%0.7914.5
Anubis560%1.3015.4
Train2100%2.4819.5

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.

22.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.8%Spray accuracy
70.5%Counter-strafing
11.1°Preaim
596msReaction time
55.4%T opening success
46.7%CT opening success
0.48Enemies flashed / flash
9.5%Flash assists
7.46HE damage / grenade
2.28Flashes / 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. 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 0.4789 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–100.0121%16 Oct →
mirage7–130.0525%15 Oct →
ancient11–13-0.0120%15 Oct →
train4–13-0.1016%15 Oct →
nuke13–5-0.018%15 Oct →
office9–13-0.0323%15 Oct →
nuke10–13-0.0622%13 Oct →
mirage13–40.0618%12 Oct →
mirage10–13-0.0214%12 Oct →
inferno13–80.0138%10 Oct →
ancient13–100.0419%10 Oct →
nuke16–140.0217%9 Oct →
dust213–80.0221%8 Oct →
mirage11–130.0118%8 Oct →
nuke9–130.0125%8 Oct →
nuke13–80.0122%6 Oct →
inferno3–9-0.0825%6 Oct →
office13–5-0.0235%5 Oct →
inferno13–10-0.0121%5 Oct →
office6–130.0528%5 Oct →
inferno8–130.0626%4 Oct →
cache8–2-0.0621%4 Oct →
vertigo13–11-0.0529%4 Oct →
office13–110.1440%3 Oct →
anubis6–130.0039%3 Oct →
inferno7–13-0.0220%3 Oct →
nuke15–15-0.0221%3 Oct →
dust27–13-0.0019%3 Oct →
mirage13–80.0225%3 Oct →
ancient13–10.0923%3 Oct →
nuke4–13-0.0212%2 Oct →
train12–120.0318%2 Oct →
vertigo10–130.0218%2 Oct →
italy2–13-0.0427%1 Oct →
fachwerk13–6-0.0316%1 Oct →
office13–5-0.0128%1 Oct →
inferno5–13-0.0524%1 Oct →
mirage8–130.0229%1 Oct →
nuke4–13-0.0815%30 Sept →
anubis15–150.0327%30 Sept →
nuke13–110.0612%29 Sept →
ancient13–30.0012%29 Sept →
nuke10–130.0019%29 Sept →
cache8–130.0120%28 Sept →
dust26–130.0017%27 Sept →
train13–110.0427%27 Sept →
mirage13–10-0.0420%27 Sept →
mirage13–70.0240%27 Sept →
anubis13–80.0421%23 Sept →
ancient13–20.1522%22 Sept →
office7–130.0147%22 Sept →
dust29–13-0.0915%22 Sept →
office12–12-0.0119%21 Sept →
dust213–90.0426%21 Sept →
mirage2–13-0.0120%21 Sept →
ancient5–130.0524%21 Sept →
office11–13-0.0514%11 Sept →
office13–60.0525%11 Sept →
nuke13–10-0.0025%11 Sept →
vertigo13–4-0.0020%11 Sept →
nuke13–60.0416%11 Sept →
overpass13–5-0.0516%11 Sept →
mirage13–8-0.0517%11 Sept →
inferno9–4-0.0019%11 Sept →
inferno9–4-0.0025%10 Sept →
mirage13–11-0.0420%10 Sept →
dust29–13-0.0221%9 Sept →
ancient11–13-0.0214%6 Sept →
office8–13-0.0439%2 Sept →
vertigo13–70.0131%2 Sept →
mirage13–60.0725%2 Sept →
inferno13–60.0327%1 Sept →
office7–130.0428%1 Sept →
ancient13–60.1721%29 Aug →
dust212–12-0.0223%29 Aug →
overpass10–13-0.0324%28 Aug →
mirage13–70.0329%28 Aug →
anubis9–130.0120%28 Aug →
mirage11–13-0.0515%28 Aug →
dust25–13-0.0415%28 Aug →
train13–11-0.0420%23 Aug →
vertigo13–20.0433%23 Aug →
office4–130.0622%23 Aug →
dust212–120.039%21 Aug →
mirage12–120.0218%21 Aug →
inferno9–13-0.0721%21 Aug →
mirage12–160.0228%19 Aug →
mirage13–60.0519%19 Aug →
train10–40.0220%18 Aug →
office5–13-0.0428%18 Aug →
cache13–80.0116%18 Aug →
ancient9–13-0.0114%18 Aug →
inferno6–130.0113%9 Aug →
cache13–7-0.0317%6 Aug →
vertigo12–120.0921%6 Aug →
vertigo2–13-0.0723%6 Aug →
dust213–9-0.029%6 Aug →
dust213–100.0819%5 Aug →
nuke13–5-0.0124%5 Aug →
vertigo13–8-0.0127%5 Aug →

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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