USAin

USAin — CS2 Stats

76561198013382332[U:1:53116604]Steam profile ↗✓ No bans

2,663Tracked matches53%Win rate2020Tracked since
6,867Hours in CS12Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
FaceitLevel 8 · 1,537 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,537 → 1,537
+62Tracked matches · now 2,663
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Faceit ELO: 1,537 +0 31 Aug – 7 Sept · 3 observations
1,5371,537peak 1,53731 Aug7 Sept
1,537Highest Faceit ELO seen on CSDB
34Days played since 2026-07-07

Faceit ELO

  • At peak — 1,537
  • Next: Level 9 at 1,751 — 214 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.9%46.8%48.2%6.3% short
Shot accuracy10.2%13.0%13.2%3.0% short
Kill/death ratio0.821.061.070.25 short
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUSAinFACEITLevel 8 · 1,537 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,537csdb.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

Aim46
Positioning50
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWLWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −1.5pp headshot accuracy · +22ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 546ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim4.6
Utility7.6
Positioning5.0
Opening Duels1.6
Clutch3.6

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 58% 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning5.0
Utility7.6
Mechanics3.1
Opening Duels1.5
Win Impact6.1

Composite 4.5/10 (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 time563ms−27ms
first ⅓ avg 590ms → last ⅓ avg 563ms
Headshot accuracy19.6%+3.1%
first ⅓ avg 16.6% → last ⅓ avg 19.6%

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 · 13–6 · nuke, 5 Sept →
39%Best headshot accuracy · 13–9 · dust2, 14 Sept →
344msFastest reaction time · 13–10 · mirage, 21 Oct →
13–3Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.01
anubisA2011–955%-0.01
nukeA149–564%0.03
dust2B136–746%-0.01
cacheD124–833%0.00
ancientD82–625%-0.01
infernoA53–260%0.00
train—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,497Lifetime kills
0.82K/D
7,551Matches
46.2%Match win rate
41.9%Headshot %
10.2%Shot accuracy
14,251MVPs
3,833Hours (in match)
15,093Bombs planted
2,689Bombs defused

Most-used weapons

AK-4742,768
AWP7,080
P2504,260
MAC-103,642
MP93,590
Knife3,225

Lifetime map wins

22,977dust2
10,399nuke
10,255inferno
3,470train
2,612vertigo
1,155cbble
104office
38lake

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

Faceit stats

Combat

2,288Matches
51%Win rate
0.91Avg K/D
68.2ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage38450%0.9213.1
Nuke26161%1.0014.0
Anubis20548%0.9313.9
Ancient18745%0.9613.5
Dust210648%1.0314.6
Overpass10151%1.0414.6
Train5655%1.0114.1
Inferno5357%0.9912.2

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.

19.3%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.6%Spray accuracy
63.9%Counter-strafing
11.8°Preaim
558msReaction time
24.4%T opening success
42.3%CT opening success
0.70Enemies flashed / flash
8.4%Flash assists
10.79HE damage / grenade
14.38Flashes / 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 24.3941% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0317%1 Nov →
anubis16–12-0.0111%29 Oct →
nuke13–60.099%29 Oct →
dust22–13-0.0529%29 Oct →
mirage13–90.0423%29 Oct →
cache16–140.0519%22 Oct →
anubis13–80.0118%22 Oct →
cache11–130.0020%22 Oct →
nuke13–40.0414%22 Oct →
mirage17–19-0.0620%21 Oct →
nuke9–130.1116%21 Oct →
cache6–13-0.0713%21 Oct →
mirage13–10-0.0415%21 Oct →
nuke7–13-0.0629%20 Oct →
cache13–8-0.0416%20 Oct →
inferno3–13-0.0623%20 Oct →
mirage13–10-0.0530%8 Oct →
dust211–13-0.0322%8 Oct →
ancient14–16-0.0110%8 Oct →
anubis13–9-0.0221%8 Oct →
cache9–13-0.0221%5 Oct →
anubis16–140.0313%5 Oct →
dust213–30.0718%5 Oct →
nuke4–13-0.0111%5 Oct →
mirage13–100.0518%5 Oct →
inferno13–80.0335%3 Oct →
nuke13–110.0025%3 Oct →
mirage13–70.0533%3 Oct →
dust24–13-0.0514%3 Oct →
cache8–130.0422%1 Oct →
dust213–110.0326%1 Oct →
mirage7–130.0112%1 Oct →
mirage13–110.0125%28 Sept →
cache11–13-0.0212%28 Sept →
anubis9–13-0.0511%28 Sept →
mirage13–160.0620%28 Sept →
mirage9–13-0.0110%26 Sept →
ancient13–16-0.0118%22 Sept →
anubis5–13-0.0215%22 Sept →
cache13–50.0438%22 Sept →
mirage9–13-0.0121%22 Sept →
mirage13–50.0115%19 Sept →
ancient9–13-0.0311%19 Sept →
mirage11–130.0117%19 Sept →
dust213–80.0413%19 Sept →
cache7–13-0.0114%19 Sept →
mirage13–10-0.0124%14 Sept →
nuke13–110.0319%14 Sept →
dust213–90.0139%14 Sept →
anubis25–230.0418%14 Sept →
dust29–13-0.0332%13 Sept →
anubis5–13-0.0313%13 Sept →
anubis11–13-0.0416%11 Sept →
mirage13–11-0.0211%11 Sept →
ancient3–13-0.0419%11 Sept →
nuke13–60.0827%11 Sept →
anubis13–70.0117%11 Sept →
ancient13–80.0424%5 Sept →
mirage9–13-0.0015%5 Sept →
nuke13–60.1315%5 Sept →
dust210–13-0.0322%5 Sept →
mirage19–17-0.0215%29 Aug →
ancient13–80.0315%23 Aug →
anubis13–8-0.076%23 Aug →
mirage13–70.0520%23 Aug →
mirage13–11-0.0116%18 Aug →
nuke13–80.0220%18 Aug →
mirage9–13-0.038%18 Aug →
dust21–13-0.078%18 Aug →
inferno13–50.0216%12 Aug →
mirage5–13-0.0324%11 Aug →
anubis10–13-0.0410%11 Aug →
nuke10–13-0.0324%11 Aug →
anubis9–13-0.0623%4 Aug →
dust213–100.0519%4 Aug →
mirage13–11-0.0413%4 Aug →
nuke13–50.0919%3 Aug →
cache8–130.0020%3 Aug →
nuke13–11-0.0222%2 Aug →
anubis13–40.0415%2 Aug →
cache6–13-0.037%2 Aug →
anubis13–110.0120%2 Aug →
mirage19–22-0.0323%30 Jul →
anubis10–13-0.048%30 Jul →
train13–100.0116%28 Jul →
anubis11–130.0315%28 Jul →
ancient11–13-0.049%27 Jul →
dust213–80.0023%27 Jul →
anubis7–13-0.028%26 Jul →
cache13–60.1026%26 Jul →
mirage11–13-0.0113%26 Jul →
inferno13–40.0020%22 Jul →
nuke7–130.0130%17 Jul →
mirage7–13-0.0311%17 Jul →
inferno12–160.0326%15 Jul →
anubis13–9-0.008%10 Jul →
mirage5–13-0.0315%10 Jul →
ancient6–130.0121%10 Jul →
mirage22–180.0014%7 Jul →
anubis13–8-0.0416%7 Jul →

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 →

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