Jaquez the third junior

Jaquez the third junior — CS2 Stats

US76561198326607661[U:1:366341933]Steam profile ↗✓ No bans

298Tracked matches40%Win rate2022Tracked since
947Hours in CS3Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating8,778Light Blue band · top ~60.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 298 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 30 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,778 +2,170 30 May19 Sept · 24 days played
6,0629,876peak 9,87630 May19 Sept
9,999Peak Premier in tracked matches
38Days played since 2026-05-30

Premier CS Rating

  • 1,098 below peak (9,876)
  • -178 over 30 days · steady
  • +2,187 over 90 days
  • Next: Blue band at 10,000 1,222 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-19

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 Light Blue band among CSDB-tracked players (n=8,607), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.6%39.9%41.9%above
Shot accuracy6.8%6.9%9.6%2.9% short
Kill/death ratio0.830.920.980.15 short
Match win rate43.2%42.3%43.8%meets

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJaquez the third juniorPREMIER8,778 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning46
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateLLLLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.5pp headshot accuracy · +19ms 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 628ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 636ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim3.9
Utility3.2
Positioning4.6
Opening Duels1.9
Clutch4.0

Limited 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.

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

jL

Plays most like jL 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning4.6
Utility3.2
Mechanics4.1
Opening Duels1.5
Win Impact1.7

Composite 3.2/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time622ms−58ms
first ⅓ avg 680ms → last ⅓ avg 622ms
Headshot accuracy16.8%−0.1%
first ⅓ avg 16.9% → last ⅓ avg 16.8%

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.

Personal bests

0.12Best match rating · 8–8 · inferno, 25 Jun
35%Best headshot accuracy · 11–13 · inferno, 12 Jul
406msFastest reaction time · 9–5 · inferno, 27 Aug
13–0Biggest win · anubis, 27 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
37In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB25121348%-0.03
infernoD1961332%-0.03
nukeC1661038%-0.02
anubisC146843%-0.03
ancientS86275%-0.01
dust2B84450%-0.03
office330100%-0.04
vertigo330100%-0.05
cache31233%-0.03
train1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,863Lifetime kills
0.83K/D
1,514Matches
43.2%Match win rate · Top 50% of Light Blue band
43.6%Headshot % · Top 50% of Light Blue band
6.8%Shot accuracy
3,297MVPs
408Hours (in match)
1,095Bombs planted
372Bombs defused

Most-used weapons

Lifetime map wins

1,987nuke
1,401inferno
1,049dust2
700vertigo
299train
209lake
138office
9ar_shoots

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

Faceit stats

Combat

22Matches
50%Win rate
0.86Avg K/D
75.3ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage978%1.1816.6
Nuke540%0.7112.8
Anubis30%0.518.3
Inferno250%0.6514.0
Ancient250%0.6711.0

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.

16.8%Headshot accuracy
27.8%Accuracy (enemy spotted)
30.0%Spray accuracy
68.4%Counter-strafing
10.0°Preaim
617msReaction time
35.9%T opening success
36.4%CT opening success
0.39Enemies flashed / flash
3.8%Flash assists
8.32HE damage / grenade
3.70Flashes / 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. 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 0.3903 — below the 0.5 mark we flag

    Grenade Lineups
  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 35.8585% — below the 40% mark we flag

Spend your practice time on Inferno

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke1–13-0.0312%18 Sept
anubis4–10-0.0132%18 Sept
ancient5–13-0.0419%18 Sept
inferno7–9-0.1031%17 Sept
anubis13–5-0.0611%4 Sept
mirage9–13-0.048%4 Sept
inferno4–9-0.127%3 Sept
office13–8-0.0224%3 Sept
mirage13–7-0.0214%3 Sept
inferno9–50.0712%27 Aug
nuke13–11-0.0114%26 Aug
inferno9–10.1019%26 Aug
inferno8–8-0.0114%20 Aug
nuke9–13-0.0123%20 Aug
mirage4–13-0.0814%20 Aug
anubis16–14-0.0216%19 Aug
mirage9–130.0617%19 Aug
anubis2–11-0.024%17 Aug
mirage6–13-0.0517%16 Aug
inferno6–13-0.0026%14 Aug
nuke13–50.0319%14 Aug
anubis13–7-0.0613%12 Aug
train5–13-0.0520%12 Aug
mirage8–13-0.0516%12 Aug
mirage8–13-0.0727%12 Aug
inferno10–13-0.065%12 Aug
mirage2–13-0.0615%10 Aug
ancient13–11-0.0219%10 Aug
nuke13–70.0329%1 Aug
nuke9–13-0.0815%31 Jul
inferno3–13-0.0110%31 Jul
anubis13–8-0.0610%30 Jul
vertigo13–6-0.0623%29 Jul
mirage13–10-0.0724%29 Jul
nuke12–16-0.0110%28 Jul
nuke13–6-0.0513%28 Jul
anubis10–130.0023%28 Jul
nuke9–13-0.0726%27 Jul
inferno4–13-0.075%27 Jul
anubis13–00.0320%27 Jul
inferno13–9-0.078%27 Jul
ancient13–3-0.065%27 Jul
mirage5–13-0.045%27 Jul
mirage13–8-0.0213%27 Jul
inferno13–9-0.0512%27 Jul
mirage13–60.0224%27 Jul
nuke5–13-0.0116%24 Jul
mirage13–80.0711%24 Jul
mirage7–13-0.0515%24 Jul
dust210–13-0.0218%24 Jul
inferno13–9-0.0418%22 Jul
nuke11–13-0.037%22 Jul
nuke13–80.0120%19 Jul
mirage13–6-0.018%19 Jul
vertigo9–50.0214%18 Jul
mirage13–7-0.0815%18 Jul
vertigo13–9-0.1021%18 Jul
office13–10-0.126%17 Jul
anubis9–13-0.0013%17 Jul
cache8–13-0.1212%16 Jul
mirage13–2-0.0422%16 Jul
cache13–10.0410%14 Jul
mirage6–13-0.0715%14 Jul
anubis10–13-0.0510%13 Jul
dust213–5-0.0417%12 Jul
inferno11–130.0035%12 Jul
dust213–80.0111%12 Jul
mirage13–80.0412%12 Jul
inferno8–130.0124%12 Jul
ancient13–10-0.006%11 Jul
mirage13–5-0.0116%11 Jul
ancient5–130.0215%11 Jul
mirage13–90.0120%11 Jul
ancient13–70.0620%11 Jul
inferno10–13-0.089%11 Jul
inferno13–6-0.0229%11 Jul
mirage10–13-0.0518%10 Jul
ancient13–0-0.0319%10 Jul
dust213–2-0.086%10 Jul
mirage11–13-0.0519%10 Jul
anubis8–13-0.0311%10 Jul
dust29–13-0.0113%10 Jul
anubis13–7-0.0822%10 Jul
nuke9–13-0.0610%10 Jul
dust24–130.0020%10 Jul
nuke8–130.0210%10 Jul
office13–70.0116%9 Jul
ancient13–50.0216%9 Jul
mirage13–2-0.0033%9 Jul
anubis13–160.0018%8 Jul
anubis9–130.0123%6 Jul
dust213–1-0.0122%5 Jul
nuke4–13-0.0713%5 Jul
dust211–13-0.0814%25 Jun
inferno8–80.1219%25 Jun
inferno2–9-0.2325%24 Jun
nuke13–10-0.0511%24 Jun
inferno2–13-0.0627%24 Jun
cache11–13-0.0211%21 Jun
mirage11–13-0.0614%30 May

Match data via Leetify.

Recent teammates

Milestones

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