just

just — CS2 Stats

76561199033855446[U:1:1073589718]Steam profile ↗✓ No bans

753Tracked matches57%Win rate2021Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating24,999Top 25% of 213,399 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#23106 of 260001 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 24,999 +1,517 14 Jan – 29 Oct · 9 days played
23,48225,497peak 25,49714 Jan29 Oct
25,497Peak Premier in tracked matches
51Days played since 2026-01-14

Premier CS Rating

  • 498 below peak (25,497)
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · 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.GGjustPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning51
Utility59

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateWLWLWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −3.1pp headshot accuracy · +17ms reaction

Win rate up 30pp 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 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 534ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 532ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 523ms

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 (+1.8 against its own average).

Aim7.7
Utility5.9
Positioning5.1
Opening Duels1.3

Strong T-side opener

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 45% on T to 27% 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

Aim7.7
Positioning5.1
Utility5.9
Mechanics6.2
Opening Duels1.8
Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time531ms−54ms
first ⅓ avg 585ms → last ⅓ avg 531ms
Headshot accuracy24.3%+3.5%
first ⅓ avg 20.9% → last ⅓ avg 24.3%

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

0.19Best match rating · 13–1 · mirage, 22 Mar →
100%Best headshot accuracy · 0–4 · nuke, 15 Jul →
328msFastest reaction time · 0–4 · train, 17 Jun →
13–1Biggest win · nuke, 8 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 79% over 14officeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB178–947%0.01
nukeA169–756%0.01
ancientS1411–379%0.02
vertigoS118–373%0.01
anubisB115–645%0.01
officeD92–722%0.00
mirageD93–633%0.01
trainA85–363%0.04
dust2—30–30%-0.03
stronghold—11–0100%-0.03
warden—11–0100%0.07

Across the last 100 tracked matches.

Skill profile

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

21.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.4%Spray accuracy
78.0%Counter-strafing
9.6°Preaim
536msReaction time
44.8%T opening success
26.5%CT opening success
0.62Enemies flashed / flash
10.3%Flash assists
5.85HE damage / grenade
5.92Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.5487% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0419%29 Oct →
office10–130.0025%29 Oct →
cache13–80.0411%26 Oct →
cache6–130.0619%26 Oct →
nuke13–70.0420%22 Oct →
nuke13–20.0820%22 Oct →
ancient13–10-0.0112%15 Oct →
nuke13–40.0919%3 Oct →
mirage10–130.0418%3 Oct →
vertigo13–4-0.0318%25 Sept →
vertigo13–40.0124%25 Sept →
nuke13–10.1131%8 Sept →
office3–13-0.0817%8 Sept →
office10–130.0419%8 Sept →
office6–13-0.0430%8 Sept →
anubis10–13-0.0118%6 Aug →
vertigo13–70.0732%3 Aug →
vertigo11–130.0118%3 Aug →
cache2–13-0.130%28 Jul →
ancient4–00.0422%28 Jul →
anubis13–50.0818%28 Jul →
anubis8–13-0.0126%28 Jul →
ancient9–13-0.0324%17 Jul →
cache13–30.1131%16 Jul →
nuke0–4-0.13100%15 Jul →
ancient13–4-0.0126%14 Jul →
mirage13–70.0516%13 Jul →
office2–110.0626%13 Jul →
cache13–40.0126%1 Jul →
cache5–00.0720%1 Jul →
cache13–70.0333%1 Jul →
mirage7–13-0.0229%27 Jun →
nuke10–13-0.0336%26 Jun →
dust29–13-0.027%19 Jun →
train13–90.0226%19 Jun →
train4–20.1567%19 Jun →
train7–130.0223%19 Jun →
train0–40.0480%17 Jun →
nuke7–13-0.0521%17 Jun →
cache13–50.0423%10 Jun →
cache11–13-0.0412%10 Jun →
vertigo13–90.0223%9 Jun →
vertigo13–50.0118%4 Jun →
vertigo11–130.0419%4 Jun →
anubis13–30.0418%28 May →
anubis2–13-0.097%28 May →
anubis9–13-0.0018%18 May →
office13–110.0129%18 May →
office6–13-0.0430%18 May →
cache13–110.0317%14 May →
cache12–12-0.0527%14 May →
cache3–13-0.0728%12 May →
cache13–80.1030%6 May →
cache10–13-0.0320%6 May →
cache12–120.0527%1 May →
cache6–130.0129%29 Apr →
cache3–130.0128%29 Apr →
train13–100.0732%22 Apr →
mirage7–13-0.0526%22 Apr →
train13–10-0.0036%22 Apr →
nuke13–40.1328%19 Apr →
nuke11–13-0.0616%16 Apr →
anubis8–13-0.0311%16 Apr →
mirage0–7-0.0730%16 Apr →
vertigo13–90.0515%8 Apr →
vertigo7–1-0.0520%8 Apr →
ancient13–30.0416%30 Mar →
nuke16–14-0.0428%30 Mar →
ancient13–110.0120%27 Mar →
dust21–130.0225%27 Mar →
mirage13–10.1928%22 Mar →
mirage3–130.0223%22 Mar →
nuke5–13-0.0725%22 Mar →
office13–20.0531%19 Mar →
office11–13-0.0112%19 Mar →
anubis13–10-0.0217%16 Mar →
ancient5–130.0111%11 Mar →
anubis7–10.096%11 Mar →
mirage8–13-0.0419%11 Mar →
dust25–13-0.0719%11 Mar →
nuke4–13-0.0522%11 Mar →
ancient2–130.0320%4 Mar →
ancient13–40.0120%25 Feb →
train13–100.0330%25 Feb →
nuke13–100.0714%24 Feb →
ancient13–20.0420%19 Feb →
mirage13–40.0142%19 Feb →
nuke8–130.0327%16 Feb →
ancient13–100.0127%16 Feb →
vertigo13–8-0.0012%11 Feb →
vertigo9–130.0314%11 Feb →
ancient13–80.0419%3 Feb →
anubis5–130.0423%29 Jan →
nuke13–20.1223%29 Jan →
nuke13–8-0.0825%26 Jan →
anubis13–8-0.0214%22 Jan →
stronghold13–6-0.0322%22 Jan →
warden8–20.0710%22 Jan →
train13–160.0218%14 Jan →
ancient13–50.0124%14 Jan →

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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