JaAcK

JaAcK — CS2 Stats

GB76561198830921450[U:1:870655722]Steam profile ↗✓ No bans

1,443Tracked matches52%Win rate2021Tracked since
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating17,823Purple band · top ~17.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Jun 2026 (114 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: 17,823 +2,823 10 May – 16 Jun · 12 days played
15,00018,204peak 18,20410 May16 Jun
18,204Peak Premier in tracked matches
38Days played since 2026-05-10

Premier CS Rating

  • 381 below peak (18,204)
  • +1,905 over 30 days · improving
  • Next: Pink band at 20,000 — 2,177 to go
  • Reached: 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.GGJaAcKFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,823 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateLLLLWWLWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · −61ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 630ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility6.0
Positioning5.5
Opening Duels4.0
Clutch6.0

Effective flashes

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 87% 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. 662ms 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

Aim6.8
Positioning5.5
Utility6.0
Mechanics7.2
Opening Duels3.7
Win Impact5.6

Composite 6.1/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time661ms−13ms
first ⅓ avg 675ms → last ⅓ avg 661ms
Headshot accuracy19.0%−0.1%
first ⅓ avg 19.1% → last ⅓ avg 19.0%

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

0.30Best match rating · 9–4 · inferno, 14 May →
40%Best headshot accuracy · 5–13 · dust2, 20 May →
422msFastest reaction time · 5–13 · dust2, 20 May →
13–1Biggest win · dust2, 19 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
4–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2B8438–4645%0.02
mirage—44–0100%0.02
inferno—43–175%0.06
ancient—32–167%0.02
nuke—21–150%0.01
cache—21–150%0.04
overpass—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

9Matches
22%Win rate
1.06Avg K/D
94.4ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.7715.0
Inferno20%1.0622.5
Mirage250%1.5031.0
Anubis1100%1.0617.0

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.

19.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.4%Spray accuracy
82.3%Counter-strafing
9.8°Preaim
662msReaction time
39.4%T opening success
50.6%CT opening success
0.73Enemies flashed / flash
8.9%Flash assists
9.44HE damage / grenade
9.47Flashes / 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

    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 39.3508% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0212%6 Oct →
dust26–13-0.0713%5 Oct →
dust211–13-0.0122%5 Oct →
dust29–130.0331%5 Oct →
dust213–90.0813%26 Sept →
dust213–110.0015%22 Sept →
dust210–130.0723%14 Sept →
dust213–100.0424%8 Sept →
dust213–100.0325%8 Sept →
dust213–6-0.0114%28 Aug →
dust213–6-0.0424%15 Aug →
dust213–60.0419%15 Aug →
dust212–120.0713%11 Aug →
dust213–70.0521%6 Jul →
dust29–13-0.0626%6 Jul →
dust212–60.0422%30 Jun →
dust213–100.1117%30 Jun →
dust28–130.1116%23 Jun →
dust213–60.0613%23 Jun →
dust210–13-0.0121%22 Jun →
dust213–70.0619%20 Jun →
dust211–130.0119%20 Jun →
dust211–130.0526%20 Jun →
nuke14–160.0220%16 Jun →
dust213–80.0224%15 Jun →
mirage16–12-0.0013%15 Jun →
dust213–10-0.0012%15 Jun →
dust25–13-0.0111%15 Jun →
dust211–130.0124%13 Jun →
dust29–13-0.0117%9 Jun →
dust213–110.0620%9 Jun →
dust210–130.0719%9 Jun →
dust28–130.0019%9 Jun →
dust212–120.0316%9 Jun →
dust212–120.0416%8 Jun →
dust213–60.0123%8 Jun →
dust212–120.0718%2 Jun →
dust213–90.0921%2 Jun →
dust213–90.0526%2 Jun →
cache7–130.0517%2 Jun →
inferno10–13-0.082%1 Jun →
dust29–13-0.0019%1 Jun →
dust26–130.0312%1 Jun →
cache13–90.0412%1 Jun →
dust27–130.0122%30 May →
dust23–13-0.0518%29 May →
dust213–40.0417%28 May →
dust25–13-0.0232%26 May →
dust213–80.0011%26 May →
dust211–13-0.0213%25 May →
dust213–60.0723%25 May →
dust29–130.0026%25 May →
dust27–13-0.0614%25 May →
dust210–13-0.0329%24 May →
dust212–120.0123%24 May →
dust29–130.0023%23 May →
dust212–120.0326%22 May →
dust211–13-0.0415%22 May →
dust210–13-0.0426%22 May →
inferno16–140.0221%21 May →
dust213–50.0311%21 May →
dust24–130.0617%21 May →
dust28–13-0.0114%20 May →
dust25–13-0.0840%20 May →
nuke13–100.0121%20 May →
dust213–16-0.0138%19 May →
mirage13–8-0.0112%19 May →
ancient13–80.0231%19 May →
dust28–130.0421%19 May →
dust25–13-0.0029%19 May →
dust213–10.1723%19 May →
dust25–13-0.0025%19 May →
dust213–80.0210%19 May →
dust213–100.1528%19 May →
dust213–30.0811%18 May →
dust25–13-0.0115%18 May →
inferno13–9-0.0123%18 May →
mirage13–40.0012%18 May →
dust213–6-0.0131%18 May →
dust213–20.1419%18 May →
dust29–130.0419%18 May →
dust23–13-0.0513%18 May →
dust27–13-0.0221%17 May →
dust29–13-0.0716%17 May →
dust213–100.0521%17 May →
dust213–60.0123%17 May →
mirage13–50.0712%17 May →
dust213–60.0321%15 May →
dust210–13-0.0417%15 May →
dust213–70.0117%15 May →
overpass8–13-0.0115%15 May →
ancient16–120.0819%14 May →
inferno9–40.3012%14 May →
dust213–70.1121%14 May →
dust213–50.1321%14 May →
dust213–8-0.0116%14 May →
dust216–14-0.0113%12 May →
dust213–70.0916%12 May →
dust213–70.0031%12 May →
ancient10–13-0.0610%10 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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