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$earching... — CS2 Stats

US76561198294547520[U:1:334281792]Steam profile ↗✓ No bans

1,129Tracked matches48%Win rate2022Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 4 · 1,023 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 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: 15,000 +309 24 Jul – 16 Oct · 23 days played
14,35416,388peak 16,38824 Jul16 Oct
Faceit ELO: 1,023 +0 6 Sept – 25 Sept · 3 observations
1,0231,023peak 1,0236 Sept25 Sept
16,673Peak Premier in tracked matches
1,023Highest Faceit ELO seen on CSDB
38Days played since 2026-07-06

Faceit ELO

  • At peak — 1,023
  • Next: Level 5 at 1,051 — 28 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-06
  • Level 3 first seen 2026-09-06

Premier CS Rating

  • 1,388 below peak (16,388)
  • -60 over 30 days · steady
  • +309 over 90 days
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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.GG$earching...FACEITLevel 4 · 1,023 ELOSTANDINGTop 81.0% of rankedPREMIER15,000 · Purple bandPEAK ELO1,023csdb.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

Aim74
Positioning76
Utility67

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLLWLWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +0.5pp headshot accuracy · +13ms 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 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 599ms

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 (+1.8 against its own average).

Aim7.4
Utility6.7
Positioning7.6
Opening Duels5.1
Clutch3.6

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

donk

Plays most like donk 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 571ms 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

Aim7.4
Positioning7.6
Utility6.7
Mechanics7.3
Opening Duels5.7
Win Impact4.4

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time578ms−6ms
first ⅓ avg 584ms → last ⅓ avg 578ms
Headshot accuracy16.1%−1.7%
first ⅓ avg 17.8% → 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

0.26Best match rating · 13–6 · vertigo, 8 Oct →
37%Best headshot accuracy · 9–13 · mirage, 30 Jul →
422msFastest reaction time · 9–13 · ancient, 26 Jul →
13–1Biggest win · cache, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2915–1452%0.03
ancientA1710–759%0.03
mirageC166–1038%0.02
nukeC94–544%0.00
cacheA95–456%0.03
anubisS97–278%0.06
infernoA74–357%0.06
train—21–150%0.05
vertigo—11–0100%0.26
office—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

155Matches
48%Win rate
0.95Avg K/D
76.3ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3256%1.0512.6
Anubis2752%0.8512.5
Mirage2650%0.8812.9
Nuke1947%1.0614.5
Vertigo1741%0.8412.7
Inferno1638%1.0315.4
Dust21145%0.9511.8
Overpass650%0.949.2

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.

15.0%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.6%Spray accuracy
82.9%Counter-strafing
9.3°Preaim
571msReaction time
54.5%T opening success
50.8%CT opening success
0.62Enemies flashed / flash
8.8%Flash assists
8.40HE damage / grenade
12.74Flashes / match

Recommended for you

Spend your practice time on Mirage

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 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0216%16 Oct →
nuke9–130.0114%16 Oct →
ancient13–4-0.0122%14 Oct →
dust29–130.1214%14 Oct →
dust213–90.0017%14 Oct →
dust211–13-0.0127%10 Oct →
mirage2–13-0.0218%10 Oct →
cache10–130.038%10 Oct →
mirage8–13-0.058%9 Oct →
mirage13–80.0510%9 Oct →
dust213–100.0416%9 Oct →
nuke10–130.0110%8 Oct →
train13–20.1111%8 Oct →
mirage12–120.0510%8 Oct →
dust213–50.0223%8 Oct →
dust29–130.0516%8 Oct →
vertigo13–60.2616%8 Oct →
train9–13-0.0116%8 Oct →
dust25–13-0.027%8 Oct →
inferno4–30.1523%8 Oct →
nuke13–60.0323%29 Sept →
mirage13–90.028%25 Sept →
dust216–140.1312%23 Sept →
ancient13–100.1119%23 Sept →
dust210–130.0218%23 Sept →
mirage11–130.0116%15 Sept →
dust26–130.0522%14 Sept →
ancient22–200.0315%14 Sept →
anubis13–6-0.0316%14 Sept →
ancient10–13-0.048%13 Sept →
inferno15–150.0322%12 Sept →
dust213–50.0824%9 Sept →
inferno13–10-0.0325%4 Sept →
mirage9–13-0.0714%2 Sept →
dust26–13-0.0010%2 Sept →
mirage16–120.0813%28 Aug →
dust29–13-0.0123%24 Aug →
ancient13–60.0122%24 Aug →
nuke11–13-0.0118%24 Aug →
inferno13–40.1820%22 Aug →
ancient9–130.0324%22 Aug →
anubis13–110.1323%22 Aug →
dust213–60.1022%22 Aug →
dust213–60.0423%20 Aug →
cache13–3-0.0318%20 Aug →
dust24–130.0128%20 Aug →
nuke13–7-0.0420%20 Aug →
dust20–3-0.040%20 Aug →
ancient16–12-0.0212%20 Aug →
anubis13–60.0221%20 Aug →
office13–5-0.0324%15 Aug →
dust29–13-0.0419%15 Aug →
dust29–130.0128%15 Aug →
nuke4–130.0320%15 Aug →
cache13–60.1511%15 Aug →
nuke13–8-0.0215%12 Aug →
mirage13–100.0723%12 Aug →
cache1–7-0.023%12 Aug →
dust213–110.0018%12 Aug →
mirage16–130.0012%12 Aug →
anubis10–13-0.0219%10 Aug →
anubis10–13-0.0227%10 Aug →
ancient8–130.0415%10 Aug →
dust213–100.0219%10 Aug →
inferno3–130.0614%8 Aug →
cache13–6-0.0213%4 Aug →
mirage13–110.0419%4 Aug →
anubis13–50.0720%1 Aug →
mirage9–130.0137%30 Jul →
ancient13–100.0713%28 Jul →
dust213–60.0321%28 Jul →
dust213–70.1220%28 Jul →
ancient10–130.0429%26 Jul →
dust28–130.0325%26 Jul →
ancient9–130.0329%26 Jul →
cache13–10.0723%24 Jul →
cache11–13-0.0226%22 Jul →
nuke13–80.0211%20 Jul →
dust213–60.0819%18 Jul →
dust24–130.0118%16 Jul →
inferno13–110.1111%16 Jul →
anubis13–70.0816%16 Jul →
nuke8–13-0.0222%16 Jul →
ancient13–10.118%16 Jul →
anubis13–10.1516%14 Jul →
anubis13–50.1317%14 Jul →
dust216–140.0517%14 Jul →
dust213–70.019%14 Jul →
ancient13–11-0.0215%12 Jul →
mirage5–130.0319%12 Jul →
dust213–50.0815%12 Jul →
mirage7–13-0.0214%12 Jul →
ancient8–130.0622%12 Jul →
inferno6–13-0.0815%10 Jul →
ancient13–60.0314%10 Jul →
mirage10–130.0513%10 Jul →
ancient0–13-0.0510%8 Jul →
cache11–130.1019%8 Jul →
cache13–90.0119%8 Jul →
ancient13–80.035%6 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 →

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