_austin

_austin — CS2 Stats

76561198370277897[U:1:410012169]Steam profile ↗✓ No bans

6,576Tracked matches59%Win rate2024Tracked since
2,654Hours in CS
CSDB Rating7.9 StrongPositional Player
Premier CS Rating27,344Top 5% of 213,542 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#4982 of 260143 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). 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: 27,344 +161 28 Aug – 5 Nov · 21 days played
25,64028,886peak 28,88628 Aug5 Nov
Faceit ELO: 2,125 +0 28 Aug – 17 Oct · 10 observations
2,1252,125peak 2,12528 Aug17 Oct
29,139Peak Premier in tracked matches
2,125Highest Faceit ELO seen on CSDB
12Days played since 2026-08-28

Premier CS Rating

  • 1,542 below peak (28,886)
  • +1,704 over 30 days · improving
  • Next: Gold band at 30,000 — 2,656 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate47.1%50.9%
Shot accuracy0.1%13.7%
Kill/death ratio1.071.09
Match win rate60.5%48.4%

Share this profile

CSDB.GG_austinFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,344 · Red bandPEAK ELO2,125csdb.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

Aim83
Positioning68
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLWWWLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · −34ms reaction

Win rate down 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 22%
  • Avg reaction 494ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 511ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 528ms

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).

Aim8.3
Utility6.4
Positioning6.8
Opening Duels4.9
Clutch3.8

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim8.3
Positioning6.8
Utility6.4
Mechanics8.4
Opening Duels6.6
Win Impact7.9

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time519ms−17ms
first ⅓ avg 536ms → last ⅓ avg 519ms
Headshot accuracy21.6%−1.8%
first ⅓ avg 23.4% → last ⅓ avg 21.6%

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

0.14Best match rating · 13–4 · mirage, 25 Oct →
54%Best headshot accuracy · 9–1 · nuke, 29 Oct →
344msFastest reaction time · 4–13 · nuke, 29 Oct →
13–1Biggest win · mirage, 29 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 21cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS2114–767%0.02
mirageA2012–860%0.01
dust2B157–847%-0.01
anubisA138–562%0.02
ancientA117–464%-0.01
cacheD72–529%-0.00
infernoA53–260%0.00
office—41–325%-0.03
vertigo—22–0100%0.02
train—21–150%-0.01

Across the last 100 tracked matches.

Lifetime stats

111,508Lifetime kills
1.07K/D
6,868Matches
60.5%Match win rate · Top 5% of Level 10 players
47.1%Headshot %
0.1%Shot accuracy
16,911MVPs
2,654Hours (in match)
7,019Bombs planted
1,775Bombs defused

Most-used weapons

AK-4737,578
AWP12,458
MP95,226
SSG 082,818
XM10142,670
MAC-102,587

Lifetime map wins

38,309nuke
6,854dust2
2,160inferno
1,889train
1,496vertigo
661office
127italy
7lake

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

Faceit stats

Combat

618Matches
53%Win rate
1.05Avg K/D
75.0ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23652%1.0814.9
Dust29848%0.9715.9
Nuke9278%1.3518.0
Ancient6144%0.9114.4
Anubis5345%0.9915.0
Inferno3040%0.8614.6
Overpass1644%0.8013.6
Cache1553%0.9414.3

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.

22.6%Headshot accuracy
35.0%Accuracy (enemy spotted)
31.4%Spray accuracy
87.7%Counter-strafing
8.9°Preaim
523msReaction time
61.4%T opening success
51.5%CT opening success
0.67Enemies flashed / flash
12.8%Flash assists
9.78HE damage / grenade
8.21Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0117%5 Nov →
anubis13–80.0724%5 Nov →
ancient13–9-0.0022%4 Nov →
vertigo13–20.0126%4 Nov →
dust27–13-0.0023%4 Nov →
dust25–13-0.0230%4 Nov →
mirage11–13-0.0125%4 Nov →
cache14–160.0119%4 Nov →
mirage13–90.0819%4 Nov →
mirage6–13-0.0134%4 Nov →
nuke13–40.1125%4 Nov →
nuke12–120.0220%4 Nov →
train11–13-0.0227%4 Nov →
dust213–11-0.0219%4 Nov →
nuke13–90.0523%3 Nov →
ancient13–110.0216%3 Nov →
dust213–60.0525%3 Nov →
mirage7–3-0.0015%3 Nov →
cache10–130.0333%3 Nov →
office13–80.0117%3 Nov →
inferno16–14-0.0132%3 Nov →
anubis9–130.0224%3 Nov →
ancient13–11-0.0614%3 Nov →
ancient4–13-0.0324%3 Nov →
mirage9–13-0.0217%3 Nov →
ancient11–13-0.0324%2 Nov →
inferno13–80.0143%2 Nov →
nuke13–30.1221%2 Nov →
anubis8–0-0.020%2 Nov →
cache13–5-0.028%2 Nov →
ancient8–13-0.0317%2 Nov →
cache15–150.0224%2 Nov →
nuke13–60.129%2 Nov →
anubis13–110.0316%2 Nov →
mirage13–4-0.0517%2 Nov →
anubis13–10-0.0423%2 Nov →
nuke13–50.0219%2 Nov →
office4–13-0.0421%1 Nov →
office5–13-0.0816%1 Nov →
office5–130.0025%1 Nov →
anubis11–13-0.0419%30 Oct →
dust27–13-0.0533%30 Oct →
inferno8–13-0.0329%30 Oct →
anubis14–160.0130%30 Oct →
nuke11–13-0.0319%30 Oct →
anubis11–130.0140%29 Oct →
mirage13–10.0119%29 Oct →
mirage10–13-0.0527%29 Oct →
nuke4–13-0.0611%29 Oct →
mirage13–30.0326%29 Oct →
nuke9–10.0554%29 Oct →
ancient16–120.0124%29 Oct →
cache13–3-0.0320%29 Oct →
nuke13–8-0.0522%29 Oct →
dust25–1-0.090%29 Oct →
dust25–130.0936%29 Oct →
anubis16–140.0723%29 Oct →
mirage11–130.0228%29 Oct →
mirage13–10.0928%28 Oct →
nuke13–30.0530%28 Oct →
mirage13–40.0127%28 Oct →
nuke13–5-0.0722%28 Oct →
dust213–10-0.0429%28 Oct →
ancient10–130.0323%28 Oct →
dust25–13-0.0422%28 Oct →
mirage7–130.0131%28 Oct →
nuke10–13-0.0127%27 Oct →
train13–90.0110%27 Oct →
dust213–40.0117%27 Oct →
cache11–13-0.0123%27 Oct →
inferno9–130.0626%27 Oct →
nuke13–60.1027%26 Oct →
dust213–90.0620%26 Oct →
mirage13–10-0.0320%26 Oct →
dust22–13-0.0940%26 Oct →
anubis13–50.0217%26 Oct →
nuke13–6-0.0126%26 Oct →
dust29–13-0.0421%26 Oct →
nuke13–6-0.0222%26 Oct →
nuke13–110.0015%26 Oct →
mirage13–70.0735%26 Oct →
ancient13–6-0.0329%26 Oct →
mirage7–13-0.0238%25 Oct →
ancient13–30.1024%25 Oct →
mirage13–11-0.0121%25 Oct →
vertigo13–60.0435%25 Oct →
mirage13–40.1447%25 Oct →
nuke15–150.0323%25 Oct →
anubis13–50.0315%25 Oct →
mirage13–4-0.019%25 Oct →
anubis13–50.0426%25 Oct →
dust23–13-0.0322%25 Oct →
anubis10–130.0223%25 Oct →
inferno13–11-0.0218%25 Oct →
dust213–80.0921%25 Oct →
nuke11–13-0.0429%25 Oct →
mirage10–130.0111%25 Oct →
cache15–15-0.0222%24 Oct →
ancient13–10-0.0421%24 Oct →
nuke13–110.0117%24 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.