Junior Jack

Junior Jack — CS2 Stats

76561197961132132[U:1:866404]Steam profile ↗✓ No bans

1,109Tracked matches48%Win rate2021Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating15,735Purple band · top ~25.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (16 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: 15,735 +3,296 22 Dec – 10 Oct · 18 days played
12,43916,307peak 16,30722 Dec10 Oct
16,307Peak Premier in tracked matches
43Days played since 2025-12-22

Premier CS Rating

  • 572 below peak (16,307)
  • +736 over 30 days · improving
  • +179 over 90 days
  • Next: Pink band at 20,000 — 4,265 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.GGJunior JackFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,735 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning40
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLLWWTLLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +5.1pp headshot accuracy · −70ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 573ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 580ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 615ms

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 (+1.5 against its own average).

Aim6.5
Utility5.2
Positioning4.0
Opening Duels1.2
Clutch4.4

Strong CT-side opener

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 93% 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

T-side openings. Opening success drops from 43% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim6.5
Positioning4.0
Utility5.2
Mechanics6.7
Opening Duels1.6
Win Impact4.4

Composite 5.1/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time631ms−47ms
first ⅓ avg 677ms → last ⅓ avg 631ms
Headshot accuracy24.2%+5.2%
first ⅓ avg 19.1% → last ⅓ avg 24.2%

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

0.13Best match rating · 13–4 · anubis, 19 Jun →
48%Best headshot accuracy · 3–13 · mirage, 31 Jul →
438msFastest reaction time · 13–4 · ancient, 28 Aug →
13–1Biggest win · overpass, 14 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB2110–1148%-0.03
cacheC156–940%-0.03
infernoB126–650%-0.01
overpassA116–555%-0.00
anubisA106–460%-0.00
mirageD93–633%-0.03
nukeA74–357%-0.01
vertigo—41–325%0.04
dust2—33–0100%0.00
fachwerk—33–0100%-0.02
boulder—22–0100%0.02
train—22–0100%0.02
shelter—10–10%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

273Matches
45%Win rate
0.96Avg K/D
71.8ADR
54%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3642%0.9815.0
Ancient3647%0.9216.0
Anubis3145%1.0514.0
Inferno2658%0.9615.6
Dust22250%0.8614.1
Vertigo1567%1.0815.7
Nuke933%0.8814.8
Overpass540%0.8711.2

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.

24.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
32.5%Spray accuracy
80.0%Counter-strafing
10.7°Preaim
632msReaction time
20.4%T opening success
43.0%CT opening success
0.55Enemies flashed / flash
8.2%Flash assists
8.25HE damage / grenade
9.07Flashes / 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 20.3916% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0615%10 Oct →
ancient6–13-0.0720%10 Oct →
cache13–110.0338%3 Oct →
dust213–8-0.0332%3 Oct →
inferno15–150.0326%3 Oct →
ancient4–13-0.0624%13 Sept →
cache10–13-0.0521%11 Sept →
inferno14–16-0.0420%11 Sept →
nuke13–4-0.0138%8 Sept →
cache13–4-0.0416%8 Sept →
inferno13–50.0520%4 Sept →
anubis13–10-0.0113%4 Sept →
ancient1–13-0.059%1 Sept →
mirage14–160.0026%1 Sept →
ancient9–130.0320%1 Sept →
ancient13–11-0.0526%28 Aug →
ancient13–4-0.0527%28 Aug →
anubis13–90.0235%28 Aug →
inferno13–8-0.0010%28 Aug →
cache9–13-0.0514%28 Aug →
ancient10–130.0031%28 Aug →
ancient9–13-0.0820%22 Aug →
cache11–13-0.0524%22 Aug →
mirage7–13-0.0338%22 Aug →
ancient16–130.0110%7 Aug →
anubis4–13-0.0645%1 Aug →
ancient13–50.0123%31 Jul →
ancient13–11-0.1021%31 Jul →
mirage3–13-0.0348%31 Jul →
inferno13–10-0.0832%31 Jul →
fachwerk13–30.0419%22 Jul →
boulder13–70.0022%22 Jul →
vertigo13–30.1220%22 Jul →
overpass13–80.0721%22 Jul →
anubis13–9-0.0622%22 Jul →
fachwerk13–8-0.0528%17 Jul →
fachwerk13–2-0.0421%17 Jul →
boulder13–90.0323%17 Jul →
shelter7–130.0414%17 Jul →
vertigo10–13-0.0124%17 Jul →
train13–20.0233%17 Jul →
cache5–13-0.0533%7 Jul →
nuke7–13-0.0923%7 Jul →
anubis4–13-0.0724%7 Jul →
cache13–60.0111%7 Jul →
overpass13–20.0514%7 Jul →
nuke13–100.0222%3 Jul →
ancient7–13-0.0029%3 Jul →
inferno8–130.0327%2 Jul →
ancient13–7-0.079%19 Jun →
anubis13–40.1320%19 Jun →
dust213–5-0.0315%6 Jun →
cache13–11-0.0614%5 Jun →
overpass7–13-0.0213%5 Jun →
anubis16–14-0.0422%5 Jun →
inferno6–130.0529%5 Jun →
nuke11–130.0722%5 Jun →
vertigo10–13-0.0317%5 Jun →
cache10–130.0828%1 Jun →
cache12–12-0.0121%1 Jun →
vertigo12–120.0815%1 Jun →
cache0–13-0.0911%1 Jun →
ancient11–13-0.0119%29 May →
anubis13–16-0.0215%29 May →
anubis6–130.0322%24 May →
cache9–13-0.0120%24 May →
inferno16–13-0.0422%24 May →
dust216–140.0721%22 May →
nuke16–12-0.0337%22 May →
ancient13–50.0419%21 May →
ancient16–13-0.0522%11 May →
cache13–7-0.0814%3 May →
inferno13–10-0.0227%1 May →
nuke4–13-0.0431%1 May →
overpass13–11-0.076%1 May →
cache6–13-0.1214%30 Apr →
cache13–40.0727%30 Apr →
inferno7–13-0.0535%27 Apr →
ancient13–5-0.0323%25 Apr →
overpass13–70.0118%25 Apr →
ancient15–15-0.0029%10 Apr →
mirage13–7-0.0618%27 Mar →
anubis13–100.0527%16 Mar →
overpass13–10.0618%14 Mar →
mirage7–13-0.0622%14 Mar →
mirage13–110.0318%11 Mar →
overpass12–120.0818%10 Mar →
overpass14–16-0.0223%30 Jan →
overpass13–10-0.079%4 Jan →
mirage7–13-0.0513%3 Jan →
train13–100.0128%3 Jan →
inferno8–13-0.029%3 Jan →
ancient13–6-0.0514%3 Jan →
ancient7–13-0.0413%27 Dec →
mirage13–11-0.0317%27 Dec →
nuke13–100.0216%24 Dec →
mirage15–15-0.0211%22 Dec →
overpass7–13-0.068%22 Dec →
overpass12–16-0.0616%22 Dec →
inferno13–8-0.028%22 Dec →

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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