aus

aus — CS2 Stats

76561197974294500[U:1:14028772]Steam profile ↗✓ No bans

1,686Tracked matches47%Win rate2021Tracked since
CSDB Rating4.7 DevelopingSupport
FaceitLevel 7 · 1,758 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 70 days played since 7 Dec 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,783 -731 2 Apr3 Apr · 2 days played
14,78315,514peak 15,5142 Apr3 Apr
15,905Peak Premier in tracked matches
1,758Highest Faceit ELO seen on CSDB
70Days played since 2024-12-07

Faceit ELO

  • At peak — 1,758
  • Next: Level 10 at 2,001 243 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

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CSDB.GGausFACEITLevel 7 · 1,758 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,758csdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateWLLWLWLWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −5.6pp headshot accuracy · −45ms reaction

Win rate down 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 619ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 593ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • 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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.9
Utility5.0
Positioning4.8
Opening Duels1.9
Clutch2.8

Strong 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 83% 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

T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim5.9
Positioning4.8
Utility5.0
Mechanics5.7
Opening Duels2.0
Win Impact3.9

Composite 4.7/10 (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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time607ms−84ms
first ⅓ avg 691ms → last ⅓ avg 607ms
Headshot accuracy16.1%−2.3%
first ⅓ avg 18.4% → last ⅓ avg 16.1%

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

0.10Best match rating · 13–2 · nuke, 28 Jan
39%Best headshot accuracy · 11–13 · dust2, 2 Dec
375msFastest reaction time · 9–13 · inferno, 17 May
13–1Biggest win · mirage, 19 Dec

Across the last 100 tracked matches.

Highlights

4Longest win streak
1010In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA22121055%-0.02
nukeB2091145%0.00
mirageC1771041%-0.02
ancientC135838%-0.03
anubisS118373%-0.03
dust2C83538%0.00
trainC52340%0.01
overpass42250%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

697Matches
51%Win rate
0.93Avg K/D
70.5ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17042%0.9013.5
Inferno13956%0.9414.2
Ancient9358%0.9915.6
Nuke8351%0.9214.5
Dust28244%0.8914.4
Overpass6266%0.9715.5
Anubis4959%0.9615.1
Vertigo1030%0.7710.7

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.

15.3%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.7%Spray accuracy
75.7%Counter-strafing
11.7°Preaim
601msReaction time
26.7%T opening success
45.9%CT opening success
0.66Enemies flashed / flash
7.4%Flash assists
8.99HE damage / grenade
5.41Flashes / 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 26.6554% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.028%10 Sept
ancient7–13-0.0312%10 Sept
mirage3–13-0.0211%10 Sept
nuke13–80.0422%3 Sept
nuke8–13-0.0610%24 Aug
nuke13–8-0.0117%24 Aug
nuke7–13-0.0214%19 Aug
inferno13–8-0.0510%18 Aug
dust210–130.0412%15 Aug
mirage4–13-0.0114%15 Aug
ancient9–130.0314%15 Aug
overpass7–13-0.0623%11 Aug
inferno13–6-0.0325%10 Aug
nuke13–9-0.0223%10 Aug
inferno9–13-0.0323%10 Aug
nuke9–13-0.086%9 Aug
anubis13–5-0.0217%8 Aug
anubis16–130.0126%8 Aug
inferno13–7-0.0315%6 Aug
nuke13–60.0515%1 Jul
inferno11–13-0.0623%24 Jun
overpass13–6-0.0312%12 Jun
nuke0–13-0.0917%12 Jun
nuke4–13-0.0418%10 Jun
ancient13–8-0.0312%7 Jun
inferno11–130.0113%2 Jun
nuke12–16-0.0112%2 Jun
nuke13–100.019%17 May
inferno9–13-0.0418%17 May
ancient13–8-0.0411%5 May
mirage5–13-0.0517%5 May
inferno13–70.0023%30 Apr
mirage10–130.0032%27 Apr
inferno13–8-0.0222%21 Apr
inferno7–13-0.0135%19 Apr
ancient10–13-0.0426%19 Apr
anubis6–13-0.0415%16 Apr
mirage11–13-0.0418%11 Apr
inferno19–16-0.0131%11 Apr
anubis13–10-0.0620%5 Apr
nuke10–130.0323%5 Apr
anubis13–11-0.0212%12 Mar
mirage10–13-0.0419%11 Mar
inferno10–13-0.0635%26 Feb
anubis6–13-0.129%25 Feb
inferno13–6-0.0122%19 Feb
inferno13–5-0.0119%10 Feb
inferno13–110.0315%10 Feb
ancient21–25-0.0227%9 Feb
dust213–4-0.0214%26 Jan
inferno13–110.0229%15 Jan
nuke7–130.0229%5 Jan
mirage16–14-0.0421%5 Jan
nuke13–90.0220%28 Dec
ancient8–13-0.0515%22 Dec
mirage13–4-0.0119%18 Dec
inferno11–13-0.0825%8 Dec
dust211–13-0.0339%2 Dec
mirage13–90.068%24 Nov
nuke13–80.0213%23 Nov
ancient9–13-0.0427%4 Nov
ancient13–100.0217%29 Oct
inferno13–11-0.0325%29 Oct
nuke9–130.0737%5 Oct
train9–13-0.0031%2 Oct
mirage4–13-0.115%15 Sept
inferno6–13-0.0420%12 Sept
ancient5–13-0.0314%10 Sept
ancient10–13-0.0513%3 Sept
overpass13–110.0116%27 Aug
inferno11–130.0413%25 Aug
mirage13–8-0.0211%25 Aug
nuke11–13-0.0215%15 Aug
nuke13–70.0316%11 Aug
anubis13–100.0721%11 Aug
train12–12-0.0217%29 Jul
overpass11–130.017%29 Jul
mirage8–13-0.0422%29 Jul
dust211–13-0.0522%3 Apr
nuke2–130.0114%3 Apr
anubis16–12-0.0427%2 Apr
dust29–130.0321%23 Mar
mirage13–9-0.0233%11 Feb
dust213–90.0728%11 Feb
mirage13–7-0.0124%11 Feb
train13–100.0612%3 Feb
mirage13–160.0324%3 Feb
ancient13–11-0.0219%29 Jan
nuke13–20.1021%28 Jan
mirage13–10.0335%19 Dec
anubis13–11-0.033%19 Dec
mirage7–13-0.0815%18 Dec
dust24–13-0.0614%18 Dec
anubis13–4-0.0427%15 Dec
ancient1–2-0.040%15 Dec
dust213–40.0132%11 Dec
train12–12-0.0224%9 Dec
train13–110.0120%8 Dec
anubis5–13-0.088%7 Dec
inferno11–13-0.0119%7 Dec

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 →