𝕮𝖔𝖉𝖊 — CS2 Stats

76561198379056185[U:1:418790457]

470Tracked matches53%Win rate2021Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating17,284Purple band · top ~19.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 17,284 -860 3 Sept – 4 Oct · 41 days played
10,13220,818peak 20,8183 Sept4 Oct
21,208Peak Premier in tracked matches
59Days played since 2025-09-03

Premier CS Rating

  • 3,534 below peak (20,818)
  • +2,847 over 30 days · improving
  • Next: Pink band at 20,000 — 2,716 to go
  • Reached: Pink band · Purple band · Blue band · 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.GG𝕮𝖔𝖉𝖊FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,284 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning50
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWLWLLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · −1ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim5.9
Utility3.8
Positioning5.0
Opening Duels2.5

Strong CT-side openerLimited utility dependence

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.9
Positioning5.0
Utility3.8
Mechanics4.6
Opening Duels2.5
Win Impact6.1

Composite 4.9/10 (Developing), 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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time597ms+4ms
first ⅓ avg 592ms → last ⅓ avg 597ms
Headshot accuracy16.6%−1.2%
first ⅓ avg 17.8% → last ⅓ avg 16.6%

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 · 11–13 · dust2, 12 Aug →
50%Best headshot accuracy · 13–6 · nuke, 27 Dec →
391msFastest reaction time · 7–13 · inferno, 10 Nov →
13–0Biggest win · inferno, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 70% over 23ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.02
infernoS2316–770%-0.01
nukeB158–753%-0.02
cacheC125–742%0.02
ancientD123–925%-0.02
anubisC73–443%0.00
mirage—32–167%-0.02
overpass—21–150%0.02
vertigo—11–0100%0.06
train—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
67%Win rate
1.43Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis560%1.3711.6
Vertigo475%1.7917.8
Inferno2100%1.1620.5
Mirage2100%1.6824.0
Ancient10%0.9313.0

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.

15.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
40.7%Spray accuracy
70.5%Counter-strafing
11.1°Preaim
595msReaction time
31.3%T opening success
49.1%CT opening success
0.39Enemies flashed / flash
2.7%Flash assists
11.16HE damage / grenade
3.03Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3855 — below the 0.5 mark we flag

    Grenade Lineups →
  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 31.2698% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–4-0.0119%4 Oct →
cache5–13-0.0514%3 Oct →
inferno13–10.1212%3 Oct →
dust210–13-0.0215%3 Oct →
anubis6–13-0.038%2 Oct →
nuke13–9-0.0426%2 Oct →
cache6–130.0016%1 Oct →
cache13–90.0518%1 Oct →
ancient10–130.028%30 Sept →
dust213–60.0421%29 Sept →
dust213–10-0.0320%29 Sept →
inferno11–13-0.0319%28 Sept →
nuke13–50.0610%27 Sept →
ancient6–130.029%27 Sept →
cache11–13-0.0024%26 Sept →
inferno13–80.0915%24 Sept →
mirage13–80.0211%23 Sept →
inferno13–10-0.0311%23 Sept →
anubis11–13-0.0418%23 Sept →
anubis8–130.0122%23 Sept →
anubis8–130.0313%23 Sept →
nuke13–16-0.0115%23 Sept →
dust213–80.0221%5 Sept →
anubis13–8-0.0120%5 Sept →
anubis13–90.0413%5 Sept →
inferno13–80.0020%27 Aug →
nuke11–13-0.026%23 Aug →
cache4–13-0.0315%23 Aug →
ancient13–10-0.0114%19 Aug →
dust213–5-0.0220%16 Aug →
dust211–13-0.0718%14 Aug →
dust23–13-0.0127%13 Aug →
dust211–130.1327%12 Aug →
dust213–110.0314%3 Aug →
cache13–40.0910%30 Jul →
dust216–12-0.0411%30 Jul →
nuke13–80.0219%29 Jul →
ancient13–60.0222%26 Jul →
inferno13–30.0221%26 Jul →
nuke4–13-0.077%26 Jul →
dust24–13-0.0512%26 Jul →
ancient5–130.0220%19 Jul →
dust213–9-0.0210%19 Jul →
inferno13–9-0.0120%17 Jul →
cache2–13-0.0417%17 Jul →
dust25–130.0113%16 Jul →
cache9–13-0.0327%14 Jun →
cache13–100.058%25 May →
cache11–130.0626%25 May →
vertigo13–100.0624%25 May →
cache9–60.0213%25 May →
cache13–70.0932%17 May →
nuke10–13-0.0024%17 May →
ancient6–13-0.0316%28 Mar →
dust213–7-0.044%28 Mar →
dust212–16-0.0418%23 Mar →
inferno13–70.0621%7 Feb →
ancient8–13-0.0814%7 Feb →
inferno8–13-0.0216%3 Feb →
mirage12–16-0.0212%3 Feb →
anubis13–70.0011%2 Feb →
overpass13–20.0327%12 Jan →
dust211–13-0.0626%12 Jan →
nuke13–11-0.0321%31 Dec →
ancient9–13-0.0721%31 Dec →
nuke13–4-0.0815%29 Dec →
nuke13–6-0.0350%27 Dec →
nuke10–13-0.0227%27 Dec →
nuke10–1-0.0015%27 Dec →
dust213–11-0.0335%27 Dec →
overpass9–130.0122%27 Dec →
ancient5–13-0.0524%2 Dec →
ancient9–13-0.0516%2 Dec →
nuke9–13-0.079%30 Nov →
nuke8–13-0.0518%29 Nov →
inferno13–5-0.0223%29 Nov →
inferno13–4-0.038%29 Nov →
dust211–13-0.065%24 Nov →
inferno1–13-0.0712%11 Nov →
inferno7–13-0.096%10 Nov →
inferno13–7-0.0119%10 Nov →
dust213–5-0.0017%10 Nov →
ancient13–100.0010%8 Nov →
ancient11–13-0.0218%8 Nov →
inferno13–6-0.0411%8 Nov →
mirage13–5-0.0617%1 Nov →
dust213–90.0119%18 Oct →
inferno13–2-0.0319%14 Oct →
inferno7–130.0416%12 Oct →
inferno13–70.0421%11 Oct →
inferno13–70.0115%11 Oct →
inferno13–00.0116%10 Oct →
dust213–40.006%9 Oct →
dust23–13-0.1027%28 Sept →
inferno6–13-0.0617%23 Sept →
dust210–13-0.0216%22 Sept →
train4–13-0.0416%15 Sept →
inferno13–4-0.059%14 Sept →
inferno2–11-0.0950%13 Sept →
dust213–50.0129%3 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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