Area

Area — CS2 Stats

BR76561198139134567[U:1:178868839]Steam profile ↗✓ No bans

716Tracked matches52%Win rate2021Tracked since
1,025Hours in CS
CSDB Rating3.9 LearningSupport
Premier CS Rating12,238Blue band · top ~43% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 12,238 +3,220 20 Sept – 3 Nov · 39 days played
8,14413,454peak 13,45420 Sept3 Nov
13,454Peak Premier in tracked matches
39Days played since 2026-09-20

Premier CS Rating

  • 1,216 below peak (13,454)
  • +740 over 30 days · improving
  • Next: Purple band at 15,000 — 2,762 to go
  • Reached: Blue band · Light Blue band

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 rate33.3%42.0%44.4%11.0% short
Shot accuracy10.1%9.6%11.9%1.7% short
Kill/death ratio1.060.981.03above
Match win rate49.9%43.8%45.2%above

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

Widest gap: Headshot rate. 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.GGAreaPREMIER12,238 · Blue bandcsdb.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

Aim38
Positioning37
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateTWLLLWWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · +25ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 6%
  • Avg reaction 683ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 665ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 652ms

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 against its own average).

Aim3.8
Utility4.8
Positioning3.7
Opening Duels0.0

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

b1t

Plays most like b1t 71% 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

T-side openings. Opening success drops from 39% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms 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

Aim3.8
Positioning3.7
Utility4.8
Mechanics5.4
Opening Duels1.1
Win Impact5.6

Composite 3.9/10 (Learning), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time647ms+36ms
first ⅓ avg 611ms → last ⅓ avg 647ms
Headshot accuracy9.0%−2.7%
first ⅓ avg 11.7% → last ⅓ avg 9.0%

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

0.11Best match rating · 13–7 · anubis, 25 Sept →
26%Best headshot accuracy · 13–5 · inferno, 16 Oct →
453msFastest reaction time · 5–13 · ancient, 16 Oct →
13–0Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 80% over 15mirageWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
anubisS1711–665%0.02
dust2C177–1041%-0.02
mirageD164–1225%-0.03
infernoS1512–380%0.02
cacheD134–931%0.01
nukeA127–558%-0.00
ancientB105–550%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,657Lifetime kills
1.06K/D · Top 50% of Blue band
2,307Matches
49.9%Match win rate · Top 10% of Blue band
33.3%Headshot %
10.1%Shot accuracy · Top 50% of Blue band
5,171MVPs
1,025Hours (in match)
1,642Bombs planted
622Bombs defused

Most-used weapons

Lifetime map wins

7,451inferno
4,477dust2
1,367nuke
437cbble
219train
52vertigo
43bank
27office

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.

8.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.6%Spray accuracy
74.3%Counter-strafing
9.9°Preaim
654msReaction time
21.3%T opening success
38.9%CT opening success
0.46Enemies flashed / flash
10.6%Flash assists
8.21HE damage / grenade
2.75Flashes / 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 8.7064% — below the 15% 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 0.4565 — 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 21.3142% — below the 40% mark we flag

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.

25% 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
nuke15–15-0.0410%3 Nov →
nuke13–60.058%3 Nov →
mirage11–13-0.023%3 Nov →
ancient6–13-0.024%3 Nov →
inferno14–16-0.026%1 Nov →
ancient13–90.037%1 Nov →
ancient13–60.039%31 Oct →
nuke9–13-0.067%31 Oct →
cache9–13-0.027%30 Oct →
cache13–50.0111%30 Oct →
anubis4–13-0.044%30 Oct →
cache11–130.034%28 Oct →
mirage7–13-0.039%28 Oct →
anubis7–13-0.0115%28 Oct →
inferno13–80.083%27 Oct →
mirage3–13-0.0811%27 Oct →
ancient13–11-0.023%27 Oct →
mirage13–9-0.0410%27 Oct →
ancient4–13-0.056%27 Oct →
inferno13–100.0010%26 Oct →
cache13–8-0.0110%25 Oct →
ancient13–4-0.0513%24 Oct →
mirage3–13-0.0413%24 Oct →
inferno13–110.0612%24 Oct →
nuke13–00.118%24 Oct →
dust213–9-0.048%24 Oct →
dust29–13-0.0115%23 Oct →
inferno13–90.0411%23 Oct →
inferno13–10-0.0815%23 Oct →
dust23–13-0.0611%22 Oct →
inferno7–13-0.0115%22 Oct →
dust213–60.028%22 Oct →
inferno13–50.1010%22 Oct →
dust212–120.0611%22 Oct →
mirage8–13-0.0320%21 Oct →
dust21–13-0.0921%21 Oct →
cache9–130.0313%21 Oct →
cache4–13-0.0210%19 Oct →
cache5–13-0.059%19 Oct →
nuke15–150.0411%19 Oct →
cache16–120.0411%18 Oct →
mirage11–13-0.0813%18 Oct →
inferno13–6-0.0412%17 Oct →
ancient5–13-0.034%16 Oct →
inferno13–50.1026%16 Oct →
mirage14–160.0115%16 Oct →
anubis13–110.036%15 Oct →
nuke7–13-0.0418%15 Oct →
mirage13–90.0111%14 Oct →
inferno13–7-0.009%14 Oct →
cache5–13-0.0018%13 Oct →
dust213–110.0016%13 Oct →
anubis9–130.018%13 Oct →
dust213–8-0.049%12 Oct →
cache8–130.0114%12 Oct →
ancient15–150.054%10 Oct →
nuke11–13-0.0419%9 Oct →
nuke13–10-0.0315%9 Oct →
mirage11–13-0.0522%7 Oct →
nuke13–11-0.009%7 Oct →
dust28–13-0.0623%7 Oct →
nuke13–4-0.0122%6 Oct →
anubis13–110.0011%6 Oct →
anubis13–60.0114%6 Oct →
ancient4–13-0.0511%5 Oct →
cache8–130.0516%5 Oct →
inferno16–14-0.049%4 Oct →
anubis13–10.035%4 Oct →
dust24–13-0.0214%3 Oct →
anubis13–60.0812%3 Oct →
nuke13–100.0113%2 Oct →
nuke13–7-0.0113%2 Oct →
dust29–130.0013%1 Oct →
anubis13–6-0.0511%1 Oct →
dust213–3-0.0015%30 Sept →
cache13–60.0615%30 Sept →
dust29–13-0.0712%30 Sept →
inferno13–90.117%29 Sept →
dust213–00.0813%29 Sept →
mirage16–14-0.069%29 Sept →
anubis11–13-0.059%28 Sept →
mirage6–130.0513%27 Sept →
ancient10–30.018%27 Sept →
mirage1–7-0.0920%26 Sept →
dust24–13-0.0418%26 Sept →
mirage13–90.0010%26 Sept →
dust213–2-0.0124%26 Sept →
anubis13–70.1114%25 Sept →
anubis13–10.0612%25 Sept →
mirage2–13-0.0811%24 Sept →
anubis11–130.0713%24 Sept →
anubis13–40.038%24 Sept →
mirage12–12-0.025%24 Sept →
inferno9–1-0.0513%24 Sept →
dust26–13-0.0213%23 Sept →
cache5–130.066%23 Sept →
anubis13–70.118%23 Sept →
inferno10–130.0510%22 Sept →
anubis13–110.018%22 Sept →
anubis5–13-0.0111%20 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.