JAK

JAK — CS2 Stats

AU76561198032012715[U:1:71746987]Steam profile ↗✓ No bans

818Tracked matches48%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating20,000Top 50% of 210,367 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82771 of 257426 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

−728Premier CS Rating · 20,728 → 20,000

Rating over time

Premier CS Rating: 20,000 +3,126 8 Jun – 25 Oct · 29 days played
16,61320,728peak 20,7288 Jun25 Oct
20,728Peak Premier in tracked matches
39Days played since 2026-06-08

Premier CS Rating

  • 728 below peak (20,728)
  • +149 over 30 days · steady
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGJAKFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLWLLLTWLWL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +0.7pp headshot accuracy · −5ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 549ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 552ms

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 (+1.3 against its own average).

Aim8.2
Utility6.4
Positioning6.1
Opening Duels2.7
Clutch5.2

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 57% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim8.2
Positioning6.1
Utility6.4
Mechanics6.9
Opening Duels4.2
Win Impact4.4

Composite 6.7/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time554ms−67ms
first ⅓ avg 621ms → last ⅓ avg 554ms
Headshot accuracy20.3%−0.6%
first ⅓ avg 20.9% → last ⅓ avg 20.3%

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

0.21Best match rating · 13–2 · cache, 9 Jun →
100%Best headshot accuracy · 0–2 · dust2, 1 Jul →
406msFastest reaction time · 1–13 · ancient, 15 Aug →
13–0Biggest win · mirage, 28 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 71% over 17dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.01
infernoB2111–1052%-0.03
cacheS1712–571%0.01
ancientD165–1131%-0.01
dust2D91–811%0.01
nuke—42–250%-0.02
overpass—40–40%-0.03
anubis—21–150%0.01
debris—21–150%-0.13
poseidon—10–10%-0.24
eldorado—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,788Matches
54%Win rate
0.98Avg K/D
74.7ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
32%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient520%0.8914.6
Anubis425%0.9914.5
Dust2333%0.6510.3
Mirage367%1.0913.7
Train10%1.0619.0
Inferno1100%0.7512.0
Nuke10%0.7414.0

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.

20.3%Headshot accuracy
38.1%Accuracy (enemy spotted)
37.1%Spray accuracy
81.1%Counter-strafing
8.8°Preaim
551msReaction time
57.1%T opening success
36.3%CT opening success
0.73Enemies flashed / flash
11.3%Flash assists
18.54HE damage / grenade
5.10Flashes / 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 36.3125% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0523%25 Oct →
cache13–3-0.0413%25 Oct →
mirage9–130.0025%25 Oct →
dust29–130.0322%25 Oct →
mirage7–13-0.0123%25 Oct →
ancient12–12-0.0214%20 Oct →
nuke7–10.0350%20 Oct →
inferno5–13-0.0821%20 Oct →
cache13–10-0.0214%15 Oct →
mirage11–130.0219%15 Oct →
inferno13–7-0.0521%15 Oct →
anubis11–13-0.0317%15 Oct →
ancient13–3-0.0225%15 Oct →
anubis13–70.0522%12 Oct →
cache13–10.1115%12 Oct →
mirage13–4-0.0111%12 Oct →
dust23–13-0.0738%10 Oct →
inferno9–130.0330%9 Oct →
cache13–50.0917%6 Oct →
dust211–130.0420%6 Oct →
cache13–8-0.0125%25 Sept →
mirage13–30.0128%25 Sept →
mirage13–2-0.057%21 Sept →
cache13–80.0324%20 Sept →
ancient11–130.0817%18 Sept →
mirage4–13-0.0220%2 Sept →
ancient15–15-0.0121%2 Sept →
mirage8–130.0220%30 Aug →
inferno2–13-0.080%30 Aug →
mirage15–15-0.0219%30 Aug →
dust210–130.0319%30 Aug →
ancient15–15-0.0114%28 Aug →
inferno8–130.0115%28 Aug →
mirage13–00.000%28 Aug →
mirage13–10-0.058%28 Aug →
nuke12–16-0.0613%26 Aug →
dust25–13-0.0212%21 Aug →
inferno9–13-0.0413%21 Aug →
cache10–13-0.0019%20 Aug →
inferno13–40.0319%20 Aug →
dust213–70.0328%20 Aug →
ancient3–13-0.080%20 Aug →
mirage8–4-0.0020%20 Aug →
mirage13–40.0313%20 Aug →
mirage5–130.0329%19 Aug →
mirage16–14-0.0118%18 Aug →
debris1–9-0.1017%18 Aug →
nuke10–13-0.068%15 Aug →
cache13–10-0.0215%15 Aug →
ancient1–13-0.0715%15 Aug →
cache9–13-0.0714%15 Aug →
inferno13–8-0.0227%14 Aug →
ancient5–13-0.0414%14 Aug →
mirage13–20.0226%14 Aug →
mirage13–160.0318%14 Aug →
inferno6–13-0.0118%11 Aug →
cache13–11-0.1114%10 Aug →
cache7–130.0124%4 Aug →
debris9–6-0.1629%3 Aug →
poseidon3–9-0.2422%3 Aug →
eldorado1–9-0.1418%3 Aug →
ancient13–10.0520%3 Aug →
cache5–13-0.0332%3 Aug →
inferno13–11-0.0215%28 Jul →
ancient13–5-0.0516%28 Jul →
cache16–130.0116%28 Jul →
overpass2–13-0.0224%5 Jul →
ancient3–13-0.038%5 Jul →
ancient10–130.0124%3 Jul →
cache13–10.0425%1 Jul →
dust20–20.06100%1 Jul →
mirage0–13-0.084%1 Jul →
inferno5–13-0.0821%1 Jul →
overpass5–13-0.0418%1 Jul →
ancient13–100.0229%1 Jul →
mirage3–13-0.0712%1 Jul →
inferno16–14-0.0524%29 Jun →
mirage13–9-0.0011%29 Jun →
mirage4–13-0.039%28 Jun →
inferno13–7-0.0519%28 Jun →
inferno13–8-0.0024%27 Jun →
inferno13–50.0233%24 Jun →
inferno0–2-0.0540%24 Jun →
overpass8–13-0.0323%24 Jun →
inferno13–50.019%21 Jun →
mirage11–130.0320%21 Jun →
ancient2–13-0.046%21 Jun →
mirage16–130.0216%21 Jun →
inferno13–9-0.0617%20 Jun →
inferno3–13-0.049%20 Jun →
cache13–8-0.0116%17 Jun →
ancient13–110.0324%17 Jun →
nuke13–9-0.0122%16 Jun →
ancient4–13-0.038%16 Jun →
cache12–12-0.0316%9 Jun →
cache13–20.2132%9 Jun →
dust211–130.0822%9 Jun →
overpass6–13-0.0424%9 Jun →
inferno13–3-0.0116%8 Jun →
inferno6–13-0.059%8 Jun →

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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