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IE76561198853365247[U:1:893099519]Steam profile ↗✓ No bans

906Tracked matches41%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating9,546Light Blue band · top ~57.1% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (6 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: 9,546 -179 18 Feb – 29 Oct · 11 days played
7,5099,747peak 9,74718 Feb29 Oct
9,747Peak Premier in tracked matches
43Days played since 2025-12-26

Premier CS Rating

  • 201 below peak (9,747)
  • Next: Blue band at 10,000 — 454 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGDarkFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER9,546 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning32
Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWTLLWLLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.7pp headshot accuracy · +90ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 609ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 656ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 611ms

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 (+2.1 against its own average).

Aim4.7
Utility6.0
Positioning3.2
Opening Duels0.6
Clutch6.0

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

ZywOo

Plays most like ZywOo 73% 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

Reaction time. 595ms 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

Aim4.7
Positioning3.2
Utility6.0
Mechanics4.6
Opening Duels0.3
Win Impact2.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time604ms−51ms
first ⅓ avg 656ms → last ⅓ avg 604ms
Headshot accuracy10.1%+1.2%
first ⅓ avg 8.9% → last ⅓ avg 10.1%

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 · 13–4 · dust2, 23 Jul →
60%Best headshot accuracy · 5–0 · dust2, 28 Aug →
422msFastest reaction time · 11–13 · cache, 4 Aug →
13–1Biggest win · mirage, 21 May →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%-0.00
mirageA159–660%-0.01
nukeB115–645%-0.02
anubisA117–464%-0.02
infernoC104–640%-0.03
ancientD103–730%-0.02
cacheC52–340%-0.03
vertigoC52–340%-0.03
train—21–150%-0.07
overpass—20–20%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
44%Win rate
0.77Avg K/D
74.0ADR
25%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.8815.3
Nuke20%0.9414.5
Inferno20%0.799.5
Ancient1100%0.8012.0
Anubis10%0.8814.0

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.

9.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
40.6%Spray accuracy
70.5%Counter-strafing
11.6°Preaim
595msReaction time
32.1%T opening success
26.4%CT opening success
0.68Enemies flashed / flash
5.7%Flash assists
4.03HE damage / grenade
7.73Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.1949% — below the 15% mark we flag

    Aim Training →
  2. 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 32.1347% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.0510%1 Nov →
cache12–12-0.058%1 Nov →
inferno3–13-0.0913%29 Oct →
nuke7–13-0.018%27 Oct →
dust213–70.049%16 Oct →
nuke2–13-0.0510%15 Oct →
inferno2–7-0.0114%29 Sept →
mirage6–13-0.098%28 Aug →
dust27–13-0.076%28 Aug →
dust25–00.0460%28 Aug →
inferno9–13-0.0714%28 Aug →
ancient7–130.0012%28 Aug →
anubis8–13-0.066%28 Aug →
dust23–60.1014%18 Aug →
train4–13-0.118%18 Aug →
dust213–20.025%18 Aug →
dust27–13-0.0210%16 Aug →
inferno13–60.0011%15 Aug →
cache13–7-0.058%15 Aug →
mirage13–6-0.0811%15 Aug →
cache11–13-0.048%4 Aug →
dust26–13-0.0216%4 Aug →
inferno13–10-0.0610%4 Aug →
ancient11–13-0.068%24 Jul →
cache13–100.043%23 Jul →
dust213–40.108%23 Jul →
cache7–13-0.066%7 Jul →
nuke8–130.005%7 Jul →
nuke13–50.046%15 Jun →
ancient13–6-0.017%14 Jun →
mirage6–13-0.055%14 Jun →
mirage13–80.038%13 Jun →
dust25–13-0.120%5 Jun →
mirage11–130.0211%29 May →
mirage13–10.096%21 May →
dust211–130.035%21 May →
anubis13–90.0013%11 May →
dust211–13-0.0716%11 May →
nuke9–13-0.083%10 May →
dust213–11-0.0215%16 Apr →
mirage1–13-0.0555%16 Apr →
dust213–10-0.048%16 Apr →
ancient10–13-0.029%16 Apr →
ancient7–13-0.065%13 Apr →
mirage2–13-0.036%12 Apr →
anubis16–14-0.0210%11 Apr →
dust213–90.0114%5 Apr →
anubis13–3-0.026%5 Apr →
mirage13–7-0.042%5 Apr →
overpass5–13-0.079%17 Mar →
dust213–70.096%17 Mar →
vertigo12–12-0.037%27 Feb →
anubis13–60.023%18 Feb →
dust213–8-0.0110%18 Feb →
dust213–16-0.0011%17 Feb →
dust213–9-0.028%17 Feb →
ancient13–60.068%17 Feb →
nuke13–70.0510%17 Feb →
overpass10–13-0.104%16 Feb →
nuke5–0-0.020%16 Feb →
anubis13–3-0.0120%16 Feb →
dust213–110.029%24 Jan →
vertigo13–7-0.1210%23 Jan →
inferno13–110.0110%23 Jan →
nuke10–13-0.1011%23 Jan →
dust213–60.0911%23 Jan →
mirage13–5-0.0115%23 Jan →
anubis13–11-0.045%23 Jan →
dust28–13-0.056%15 Jan →
ancient9–13-0.079%10 Jan →
train13–6-0.0414%10 Jan →
nuke11–13-0.0210%10 Jan →
dust213–90.0112%10 Jan →
dust211–13-0.0315%9 Jan →
dust25–13-0.059%9 Jan →
anubis6–13-0.0715%9 Jan →
mirage13–20.0017%9 Jan →
inferno11–13-0.054%9 Jan →
ancient2–13-0.068%9 Jan →
vertigo13–20.044%4 Jan →
mirage13–60.065%4 Jan →
vertigo7–13-0.0310%3 Jan →
anubis13–11-0.035%2 Jan →
mirage13–110.005%2 Jan →
dust213–8-0.016%2 Jan →
ancient5–13-0.036%2 Jan →
nuke13–80.013%2 Jan →
inferno10–13-0.015%2 Jan →
dust213–6-0.049%29 Dec →
ancient13–100.057%29 Dec →
anubis5–13-0.0210%29 Dec →
dust213–10-0.0011%29 Dec →
mirage13–5-0.087%29 Dec →
inferno13–80.0114%27 Dec →
dust24–13-0.034%27 Dec →
mirage8–130.0217%26 Dec →
anubis11–130.0210%26 Dec →
vertigo6–13-0.035%26 Dec →
dust210–13-0.0223%26 Dec →
inferno4–9-0.065%26 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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