Jack

Jack — CS2 Stats

US76561198097656123[U:1:137390395]Steam profile ↗

1,332Tracked matches36%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPassive Rifler
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
CSDB Leaderboard#23163 of 30146 tracked
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGJackPREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim68
Positioning28
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateLLWWWWLLLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression0.0
Utility5.5
Positioning2.8
Opening Duels0.0

Strong CT-side openerEffective flashesLimited 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.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 27% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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
Positioning2.8
Utility5.5
Mechanics6.8
Opening Duels0.0
Win Impact0.2

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time620ms−13ms
first ⅓ avg 634ms → last ⅓ avg 620ms
Headshot accuracy14.8%+1.3%
first ⅓ avg 13.5% → last ⅓ avg 14.8%

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.

Highlights

0.18Best rating — office 13–2
131Biggest win — office
6Longest win streak
L2Current streak
46In matches decided by ≤2 rounds

Map breakdown

wardenBest map · 60% over 10officeWeakest map · 40% over 47
MapGradePlayedRecordWin rateAvg rating
officeC47192840%-0.00
dust2A1710759%-0.02
nukeB126650%0.03
wardenA106460%-0.01
alpineB105550%0.01
mirage2020%-0.08
cache1010%-0.09
stronghold110100%0.02

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.

15.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
43.3%Spray accuracy
80.7%Counter-strafing
10.4°Preaim
620msReaction time
9.2%T opening success
27.1%CT opening success
0.76Enemies flashed / flash
5.1%Flash assists
12.50HE damage / grenade
4.61Flashes / 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 14.9703% — below the 15% mark we flag

    Aim Training
  2. 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 9.2128% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
office9–13-0.1014%14 Jul
office2–13-0.0124%24 Jun
office13–10.049%19 Jun
office13–70.0420%16 Jun
office13–8-0.0216%15 Jun
office13–6-0.0221%14 Jun
dust211–13-0.0512%14 Jun
office8–13-0.0613%14 Jun
office10–13-0.0323%13 Jun
office8–13-0.096%12 Jun
office11–13-0.0315%12 Jun
office12–12-0.0114%12 Jun
office3–13-0.128%5 Jun
nuke3–13-0.0421%27 May
cache11–13-0.0921%27 May
office10–13-0.0616%22 May
office13–4-0.0514%17 May
office12–120.0411%17 May
office6–130.0212%27 Apr
dust210–13-0.0621%26 Apr
nuke8–130.0613%23 Apr
dust213–4-0.0715%22 Apr
office8–130.0610%15 Mar
nuke13–60.0913%15 Mar
dust213–60.0125%15 Mar
mirage1–9-0.0815%15 Mar
nuke8–130.0316%15 Mar
office6–13-0.067%14 Mar
warden13–70.0611%14 Mar
office13–7-0.0115%22 Feb
office8–13-0.0211%22 Feb
dust213–11-0.0011%22 Feb
alpine13–80.0418%22 Feb
office11–130.0221%21 Feb
dust28–13-0.0310%21 Feb
office8–13-0.0413%17 Feb
dust213–100.0111%17 Feb
office13–50.0910%17 Feb
dust213–80.049%17 Feb
office7–130.1629%17 Feb
office13–11-0.0219%16 Feb
office8–130.0123%16 Feb
alpine13–60.0515%15 Feb
office13–100.0011%15 Feb
office8–13-0.0111%14 Feb
dust213–50.0111%14 Feb
office5–13-0.048%14 Feb
office11–13-0.0215%13 Feb
nuke13–50.0111%13 Feb
office13–40.1124%12 Feb
nuke13–80.106%11 Feb
nuke10–130.0225%10 Feb
office13–50.046%9 Feb
dust213–7-0.0010%9 Feb
office7–13-0.0312%9 Feb
alpine2–8-0.0133%9 Feb
alpine13–30.017%8 Feb
dust213–6-0.0112%8 Feb
office12–120.0210%7 Feb
warden6–13-0.0712%7 Feb
office6–13-0.0612%6 Feb
alpine6–130.0621%4 Feb
dust24–13-0.0611%4 Feb
office13–6-0.0118%2 Feb
warden13–70.0121%2 Feb
alpine8–13-0.0410%2 Feb
warden5–13-0.0310%1 Feb
nuke5–130.0229%1 Feb
alpine13–9-0.0511%1 Feb
office13–20.1817%1 Feb
warden13–90.0711%31 Jan
office12–120.0113%31 Jan
warden13–10-0.0913%31 Jan
mirage7–13-0.078%30 Jan
alpine12–12-0.0117%29 Jan
warden4–13-0.0519%29 Jan
office13–110.0616%29 Jan
warden13–90.0211%27 Jan
nuke9–130.0213%27 Jan
office8–13-0.026%27 Jan
office13–40.0418%26 Jan
alpine13–30.048%25 Jan
warden7–13-0.0516%25 Jan
warden13–10-0.0021%24 Jan
stronghold13–30.0212%24 Jan
alpine3–13-0.0511%24 Jan
dust211–130.0714%20 Jan
office13–20.0713%19 Jan
nuke13–7-0.0610%19 Jan
office13–8-0.018%19 Jan
office8–130.037%19 Jan
dust212–12-0.0318%19 Jan
office13–9-0.0612%17 Jan
nuke13–90.0713%17 Jan
dust213–8-0.0223%17 Jan
office13–110.039%17 Jan
nuke13–30.019%17 Jan
dust213–8-0.0416%17 Jan
office5–13-0.0615%15 Jan
dust22–13-0.058%15 Jan

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 →