JackAU

JackAU — CS2 Stats

AU76561198068048978[U:1:107783250]Steam profile ↗✓ No bans

1,162Tracked matches57%Win rate2020Tracked since
3,337Hours in CS7Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating19,727Top 50% of 212,133 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#89622 of 259056 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (5 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: 19,727 +109 2 Aug – 26 Oct · 19 days played
19,27921,148peak 21,1482 Aug26 Oct
21,148Peak Premier in tracked matches
47Days played since 2025-09-04

Premier CS Rating

  • 1,421 below peak (21,148)
  • -1,421 over 30 days · declining
  • +109 over 90 days
  • Next: Pink band at 20,000 — 273 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-08-31

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate50.0%42.7%43.8%above
Shot accuracy20.9%11.2%12.0%above
Kill/death ratio0.910.991.020.11 short
Match win rate43.1%43.9%44.7%1.6% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJackAUFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,727 · Purple 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

Aim79
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWLLWLWLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −14ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 535ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 524ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 531ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.9
Utility4.5
Positioning5.2
Opening Duels1.3
Clutch4.8

Excellent counter-strafing

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 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.9
Positioning5.2
Utility4.5
Mechanics8.8
Opening Duels1.3
Win Impact7.2

Composite 6.3/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time535ms−14ms
first ⅓ avg 549ms → last ⅓ avg 535ms
Headshot accuracy12.6%−0.2%
first ⅓ avg 12.9% → last ⅓ avg 12.6%

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 · 13–2 · nuke, 10 Aug →
27%Best headshot accuracy · 11–13 · dust2, 13 Sept →
375msFastest reaction time · 13–3 · ancient, 13 Sept →
13–0Biggest win · dust2, 22 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 12nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%0.00
mirageB179–853%0.01
dust2C167–944%-0.01
ancientS128–467%0.01
nukeC114–736%-0.01
infernoA117–464%-0.01
overpassA53–260%0.03
anubis—43–175%0.01
vertigo—31–233%0.01
train—11–0100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,550Lifetime kills
0.91K/D
4,359Matches
43.1%Match win rate
50.0%Headshot % · Top 25% of Level 4 players
20.9%Shot accuracy · Top 5% of Level 4 players
7,788MVPs
3,777Hours (in match)
4,786Bombs planted
1,233Bombs defused

Most-used weapons

Lifetime map wins

14,522dust2
4,447inferno
1,949nuke
1,554train
1,514vertigo
486cbble
318office
62lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

681Matches
50%Win rate
1.03Avg K/D
69.3ADR
38%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4144%0.9313.3
Inferno2148%0.9613.7
Anubis1921%0.7611.9
Dust21560%1.1117.1
Ancient1070%0.7813.4
Nuke862%1.0010.4
Vertigo540%0.9612.0
Train250%0.6312.0

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.

12.8%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.9%Spray accuracy
89.7%Counter-strafing
9.9°Preaim
535msReaction time
29.3%T opening success
40.3%CT opening success
0.49Enemies flashed / flash
6.7%Flash assists
6.84HE damage / grenade
7.37Flashes / 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 12.8027% — 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 0.4877 — 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 29.3038% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0610%26 Oct →
ancient19–160.0116%25 Oct →
nuke7–13-0.0216%22 Oct →
mirage4–13-0.0318%22 Oct →
nuke13–3-0.0211%19 Oct →
cache7–130.0512%19 Oct →
ancient13–60.0619%18 Oct →
anubis11–13-0.056%27 Sept →
anubis13–100.029%23 Sept →
cache13–90.0310%23 Sept →
cache17–19-0.036%20 Sept →
mirage16–140.0121%19 Sept →
inferno13–8-0.0514%19 Sept →
mirage1–13-0.089%19 Sept →
mirage14–160.0117%19 Sept →
ancient13–80.006%17 Sept →
mirage13–20.0411%17 Sept →
cache13–30.0412%13 Sept →
anubis13–30.0114%13 Sept →
mirage13–70.0720%13 Sept →
dust26–13-0.0713%13 Sept →
ancient13–30.0511%13 Sept →
cache6–13-0.0510%13 Sept →
dust211–130.0127%13 Sept →
cache13–7-0.046%13 Sept →
dust213–10.0319%12 Sept →
nuke5–13-0.096%12 Sept →
inferno14–16-0.079%6 Sept →
dust29–13-0.0310%6 Sept →
inferno13–11-0.0317%5 Sept →
cache13–80.013%5 Sept →
dust210–13-0.0214%30 Aug →
ancient14–16-0.0418%30 Aug →
mirage13–4-0.004%29 Aug →
cache13–20.0414%29 Aug →
nuke13–6-0.0218%29 Aug →
nuke11–130.0320%29 Aug →
mirage13–40.046%29 Aug →
inferno4–13-0.0513%22 Aug →
dust213–00.0324%22 Aug →
mirage15–15-0.028%22 Aug →
inferno13–80.0122%22 Aug →
mirage2–5-0.036%22 Aug →
cache8–130.0318%17 Aug →
inferno9–130.0116%17 Aug →
cache6–13-0.0716%16 Aug →
nuke13–20.1112%10 Aug →
cache7–13-0.0619%10 Aug →
mirage13–80.019%2 Aug →
inferno13–60.0410%2 Aug →
ancient13–11-0.0315%2 Aug →
dust211–130.0312%2 Aug →
dust215–15-0.017%27 Jul →
inferno16–12-0.019%26 Jul →
inferno13–30.0318%26 Jul →
vertigo11–13-0.058%26 Jul →
vertigo13–60.0614%21 Jul →
nuke10–130.0310%21 Jul →
cache11–13-0.027%20 Jul →
dust213–7-0.049%20 Jul →
ancient13–4-0.007%18 Jul →
mirage8–130.0422%15 Jul →
cache9–13-0.0511%15 Jul →
cache13–100.0319%14 Jul →
ancient13–80.0713%14 Jul →
ancient13–60.023%12 Jul →
nuke5–13-0.038%12 Jul →
ancient8–13-0.0714%5 Jul →
mirage10–13-0.039%4 Jul →
nuke5–13-0.0216%4 Jul →
cache10–13-0.0314%4 Jul →
dust213–10-0.039%4 Jul →
overpass13–30.0117%21 Jun →
mirage3–100.0218%21 Jun →
dust213–8-0.0218%21 Jun →
mirage13–100.0113%9 Jun →
anubis13–80.076%31 May →
overpass0–13-0.040%31 May →
inferno13–80.0616%13 May →
cache13–110.038%8 May →
nuke11–13-0.0411%8 May →
ancient12–120.0110%5 May →
cache13–100.0318%5 May →
dust214–16-0.0218%3 May →
train13–5-0.0612%2 May →
vertigo4–130.0419%2 May →
cache13–20.0919%2 May →
cache11–13-0.039%2 May →
cache13–90.0317%30 Apr →
overpass13–70.0418%28 Mar →
inferno6–13-0.0314%27 Mar →
dust213–10-0.0115%26 Mar →
nuke13–7-0.052%20 Mar →
dust211–130.0313%20 Mar →
overpass13–160.0522%20 Sept →
ancient3–13-0.018%20 Sept →
overpass13–20.105%20 Sept →
dust213–100.0419%6 Sept →
mirage13–10.035%6 Sept →
dust22–13-0.0815%4 Sept →

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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