State ? This?

State ? This? — CS2 Stats

NO76561199317238508[U:1:1356972780]Steam profile ↗✓ No bans

459Tracked matches52%Win rate2022Tracked since
773Hours in CS53Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating12,150Blue band · top ~43.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 12,150 +136 30 Aug – 15 Oct · 3 days played
10,70512,150peak 12,15030 Aug15 Oct
12,150Peak Premier in tracked matches
23Days played since 2026-08-20

Premier CS Rating

  • At peak — 12,150
  • Next: Purple band at 15,000 — 2,850 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.5%42.0%44.3%1.8% short
Shot accuracy3.4%9.6%11.9%8.4% short
Kill/death ratio1.240.981.03above
Match win rate36.2%43.8%45.2%9.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGState ? This?PREMIER12,150 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning55
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY44–43–13Last 10044%Win rateWWLLWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.9pp headshot accuracy · −16ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 554ms

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).

Aim4.2
Utility4.5
Positioning5.5
Opening Duels1.0

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 74% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim4.2
Positioning5.5
Utility4.5
Mechanics5.0
Opening Duels4.2
Win Impact5.6

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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time544ms+0ms
first ⅓ avg 544ms → last ⅓ avg 544ms
Headshot accuracy12.0%+2.7%
first ⅓ avg 9.3% → last ⅓ avg 12.0%

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

0.18Best match rating · 5–2 · ancient, 7 Oct →
24%Best headshot accuracy · 5–2 · ancient, 7 Oct →
406msFastest reaction time · 4–13 · nuke, 7 Oct →
13–2Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 40% over 40
MapGradePlayedRecordWin rateAvg rating
infernoC4016–2440%-0.01
nukeB2311–1248%0.01
vertigoA1710–759%0.01
ancientS54–180%0.04
overpass—40–40%0.01
cache—42–250%-0.02
anubis—31–233%-0.01
dust2—20–20%-0.01
boulder—10–10%0.06
office—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 40). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,189Lifetime kills
1.24K/D · Top 10% of Blue band
899Matches
36.2%Match win rate
42.5%Headshot % · Top 50% of Blue band
3.4%Shot accuracy
1,691MVPs
275Hours (in match)
584Bombs planted
106Bombs defused

Most-used weapons

Lifetime map wins

1,460inferno
1,270nuke
595vertigo
299dust2
115train
39office
38ar_shoots
30ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.7%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.0%Spray accuracy
72.4%Counter-strafing
12.9°Preaim
548msReaction time
60.2%T opening success
33.5%CT opening success
0.49Enemies flashed / flash
5.8%Flash assists
8.76HE damage / grenade
8.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8724° — above the 12° mark we flag

    Aim Training →
  2. 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 11.7362% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4913 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 40 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0113%16 Oct →
inferno16–14-0.079%15 Oct →
dust28–130.018%15 Oct →
dust23–13-0.0315%15 Oct →
inferno13–7-0.018%15 Oct →
nuke13–9-0.0312%15 Oct →
vertigo7–13-0.0315%14 Oct →
inferno6–13-0.0110%14 Oct →
inferno8–13-0.0515%12 Oct →
nuke6–13-0.0211%12 Oct →
overpass1–130.0210%12 Oct →
vertigo7–30.129%12 Oct →
nuke13–20.060%12 Oct →
vertigo12–120.0110%12 Oct →
inferno13–20.0114%12 Oct →
ancient13–9-0.0813%12 Oct →
anubis4–13-0.058%12 Oct →
inferno13–11-0.0212%12 Oct →
nuke13–7-0.0612%12 Oct →
vertigo7–13-0.0211%12 Oct →
nuke13–70.0617%9 Oct →
inferno11–13-0.059%9 Oct →
boulder12–120.0610%8 Oct →
office12–12-0.0215%8 Oct →
inferno8–130.0821%8 Oct →
nuke8–13-0.039%8 Oct →
inferno1–130.0415%8 Oct →
inferno13–6-0.0214%8 Oct →
vertigo13–50.0112%8 Oct →
ancient13–40.0912%7 Oct →
ancient5–20.1824%7 Oct →
inferno5–130.0614%7 Oct →
cache13–90.039%7 Oct →
nuke4–130.1013%7 Oct →
overpass3–13-0.0323%7 Oct →
inferno13–110.014%7 Oct →
vertigo13–20.068%7 Oct →
inferno12–12-0.0516%7 Oct →
nuke13–70.0112%7 Oct →
vertigo5–130.002%6 Oct →
inferno12–12-0.0212%6 Oct →
nuke13–50.147%6 Oct →
inferno13–11-0.035%5 Oct →
inferno11–13-0.069%4 Oct →
nuke11–130.0510%4 Oct →
vertigo13–70.1012%4 Oct →
inferno13–11-0.0217%4 Oct →
inferno6–70.0417%4 Oct →
vertigo12–12-0.0118%3 Oct →
nuke13–2-0.0613%3 Oct →
anubis13–70.046%3 Oct →
inferno13–7-0.024%3 Oct →
cache10–130.0014%3 Oct →
nuke4–13-0.0914%1 Oct →
inferno13–70.0211%1 Oct →
nuke13–5-0.037%1 Oct →
inferno3–130.0211%1 Oct →
cache4–13-0.106%1 Oct →
inferno12–120.048%30 Sept →
inferno13–9-0.045%30 Sept →
cache13–70.0010%30 Sept →
inferno13–40.1311%29 Sept →
vertigo11–13-0.0413%29 Sept →
inferno12–12-0.036%24 Sept →
ancient8–12-0.025%23 Sept →
inferno6–13-0.035%23 Sept →
nuke11–13-0.078%23 Sept →
vertigo6–13-0.057%23 Sept →
inferno9–13-0.015%23 Sept →
ancient13–20.055%16 Sept →
nuke10–13-0.0110%16 Sept →
vertigo13–40.088%16 Sept →
inferno6–13-0.058%16 Sept →
vertigo13–70.0110%16 Sept →
nuke13–60.054%16 Sept →
inferno8–13-0.0411%16 Sept →
vertigo13–90.037%15 Sept →
inferno9–130.0112%15 Sept →
nuke13–70.096%15 Sept →
inferno1–7-0.055%13 Sept →
nuke13–5-0.043%13 Sept →
inferno12–120.066%13 Sept →
nuke11–130.039%9 Sept →
inferno12–12-0.0014%9 Sept →
nuke12–120.138%9 Sept →
inferno1–13-0.0711%9 Sept →
overpass6–130.0412%9 Sept →
inferno7–13-0.0414%9 Sept →
nuke12–12-0.0310%9 Sept →
vertigo13–3-0.034%9 Sept →
nuke10–13-0.0110%26 Aug →
inferno13–7-0.027%26 Aug →
vertigo13–3-0.0114%26 Aug →
nuke12–120.0216%23 Aug →
overpass7–130.0112%23 Aug →
vertigo13–70.0219%23 Aug →
inferno13–60.017%23 Aug →
inferno10–130.0417%23 Aug →
anubis7–13-0.026%20 Aug →
inferno5–130.028%20 Aug →

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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