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| — CS2 Stats

SR76561199848615084[U:1:1888349356]Steam profile ↗✓ No bans

566Tracked matches52%Win rate2025Tracked since
370Hours in CS
CSDB Rating2.8 LearningSupport
Premier CS Rating9,771Light Blue band · top ~56% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 566 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,771 +1,231 16 May – 3 Nov · 5 days played
8,5409,875peak 9,87516 May3 Nov
9,990Peak Premier in tracked matches
33Days played since 2026-05-10

Premier CS Rating

  • 104 below peak (9,875)
  • Next: Blue band at 10,000 — 229 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-24

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate42.5%39.9%42.0%meets
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.810.920.980.17 short
Match win rate50.9%42.3%43.8%above

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GG|PREMIER9,771 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim24
Positioning31
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–47–11Last 10042%Win rateWLWWWLTWLT

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · +10ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 798ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 745ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 740ms

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 (+1.5 against its own average).

Aim2.4
Utility4.2
Positioning3.1
Opening Duels0.9

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 67% 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. 747ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.4
Positioning3.1
Utility4.2
Mechanics3.4
Opening Duels0.3
Win Impact5.6

Composite 2.8/10 (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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time735ms+68ms
first ⅓ avg 668ms → last ⅓ avg 735ms
Headshot accuracy16.1%−1.9%
first ⅓ avg 17.9% → 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

0.20Best match rating · 9–6 · inferno, 4 Jun →
44%Best headshot accuracy · 7–13 · dust2, 16 May →
406msFastest reaction time · 0–10 · vertigo, 21 May →
13–1Biggest win · dust2, 24 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–1In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 57% over 7infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB4621–2546%-0.03
dust2C2710–1737%-0.03
infernoD186–1233%0.00
cacheA74–357%-0.01
anubis—11–0100%-0.03
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,075Lifetime kills
0.81K/D
1,029Matches
50.9%Match win rate · Top 5% of Light Blue band
42.5%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
2,151MVPs
370Hours (in match)
831Bombs planted
193Bombs defused

Most-used weapons

Lifetime map wins

3,399dust2
787inferno
663nuke
126vertigo
86train
81office
5italy

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.

16.7%Headshot accuracy
28.7%Accuracy (enemy spotted)
34.1%Spray accuracy
65.5%Counter-strafing
12.0°Preaim
747msReaction time
29.5%T opening success
32.3%CT opening success
0.40Enemies flashed / flash
3.5%Flash assists
7.14HE damage / grenade
13.18Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 747.2983ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.3996 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.4828% — below the 40% mark we flag

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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.067%23 Sept →
dust24–13-0.0936%23 Sept →
mirage13–10-0.0321%15 Sept →
mirage13–4-0.0426%15 Sept →
mirage13–40.0810%1 Aug →
dust21–13-0.050%8 Jul →
inferno8–8-0.048%8 Jul →
mirage13–11-0.0711%8 Jul →
mirage3–13-0.0726%7 Jul →
mirage12–12-0.0624%6 Jul →
mirage5–13-0.0213%4 Jul →
inferno6–90.0316%4 Jul →
mirage7–13-0.0523%4 Jul →
mirage13–8-0.0910%29 Jun →
mirage6–130.0114%27 Jun →
dust29–13-0.0524%27 Jun →
dust23–13-0.1027%26 Jun →
mirage2–13-0.0816%26 Jun →
mirage13–8-0.068%26 Jun →
dust213–5-0.048%26 Jun →
dust213–7-0.0718%25 Jun →
mirage13–110.0726%25 Jun →
mirage12–12-0.0811%25 Jun →
dust213–4-0.0116%24 Jun →
mirage8–13-0.015%24 Jun →
mirage13–2-0.0417%24 Jun →
dust210–13-0.0317%24 Jun →
dust212–12-0.0713%23 Jun →
dust210–13-0.0629%23 Jun →
dust213–50.0411%19 Jun →
cache10–30.0314%19 Jun →
cache10–13-0.0718%18 Jun →
mirage12–12-0.0411%18 Jun →
dust213–5-0.069%18 Jun →
mirage13–4-0.0919%18 Jun →
dust213–9-0.0625%17 Jun →
dust29–13-0.0420%14 Jun →
dust213–6-0.0114%14 Jun →
mirage3–13-0.025%14 Jun →
anubis13–6-0.0325%14 Jun →
mirage13–90.0111%14 Jun →
mirage13–90.0310%4 Jun →
dust26–13-0.008%4 Jun →
mirage8–13-0.0612%4 Jun →
inferno2–9-0.1325%4 Jun →
inferno3–9-0.1616%4 Jun →
inferno9–60.2020%4 Jun →
mirage5–13-0.038%30 May →
mirage12–12-0.0519%30 May →
inferno2–9-0.0525%30 May →
inferno9–6-0.0821%30 May →
inferno9–60.1718%30 May →
mirage7–13-0.056%27 May →
mirage5–13-0.0518%27 May →
mirage13–5-0.0126%27 May →
mirage9–13-0.0214%27 May →
cache13–6-0.0117%26 May →
cache12–12-0.1123%25 May →
mirage8–13-0.079%25 May →
mirage10–13-0.0110%25 May →
dust212–12-0.0815%25 May →
dust212–120.0115%25 May →
mirage13–20.0210%25 May →
dust29–13-0.0412%24 May →
dust213–10.0019%24 May →
mirage13–11-0.0413%24 May →
cache13–5-0.034%24 May →
dust210–13-0.0514%24 May →
mirage8–13-0.0317%24 May →
mirage11–13-0.0317%23 May →
dust213–60.060%23 May →
mirage13–11-0.0311%23 May →
mirage9–130.0217%23 May →
mirage13–11-0.0213%22 May →
vertigo0–10-0.050%21 May →
mirage8–130.0430%21 May →
mirage13–9-0.0610%21 May →
dust213–10.0319%21 May →
mirage5–130.0122%19 May →
mirage13–110.046%19 May →
cache8–130.0016%19 May →
dust28–13-0.0321%19 May →
cache13–110.1218%18 May →
mirage13–6-0.0110%18 May →
dust29–13-0.0330%17 May →
dust27–13-0.0444%16 May →
dust21–13-0.0612%16 May →
mirage13–6-0.0212%16 May →
inferno13–11-0.0213%16 May →
mirage4–13-0.0614%16 May →
mirage3–13-0.0518%16 May →
inferno9–10.1938%14 May →
inferno8–80.0810%14 May →
inferno3–9-0.114%14 May →
inferno8–80.1211%14 May →
inferno3–9-0.0522%12 May →
inferno9–20.1626%12 May →
inferno4–9-0.0233%10 May →
inferno4–9-0.0835%10 May →
inferno0–9-0.1731%10 May →

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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