J_J

J_J — CS2 Stats

FI76561198023584814[U:1:63319086]Steam profile ↗✓ No bans

2,500Tracked matches66%Win rate2020Tracked since
CSDB Rating7.6 StrongSupport
Premier CS Rating25,731Top 10% of 204,150 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14416 of 251240 tracked
FaceitLevel 10 · 2,380 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 25,731 +1,320 19 Jan – 10 Oct · 7 days played
23,48625,731peak 25,73119 Jan10 Oct
Faceit ELO: 2,380 +0 30 Aug – 22 Sept · 5 observations
2,3802,380peak 2,38030 Aug22 Sept
25,822Peak Premier in tracked matches
2,380Highest Faceit ELO seen on CSDB
42Days played since 2026-01-08

Faceit ELO

  • At peak — 2,380
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 120 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • At peak — 25,731
  • Next: Gold band at 30,000 — 4,269 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJ_JFACEITLevel 10 · 2,380 ELOSTANDINGTop 12.4% of rankedPREMIER25,731 · Red band30 DAYS0 ELOPEAK ELO2,380csdb.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
Positioning66
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLWWLLWTLWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · −2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 497ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 549ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

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 (+1.9 against its own average).

Aim7.9
Utility7.3
Positioning6.6
Opening Duels4.0
Clutch3.8

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 558ms 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

Aim7.9
Positioning6.6
Utility7.3
Mechanics6.4
Opening Duels4.9
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time547ms−90ms
first ⅓ avg 637ms → last ⅓ avg 547ms
Headshot accuracy17.0%−1.2%
first ⅓ avg 18.2% → last ⅓ avg 17.0%

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

0.17Best match rating · 9–4 · rooftop, 21 Jan →
37%Best headshot accuracy · 8–8 · inferno, 19 Jan →
391msFastest reaction time · 13–7 · mirage, 30 Aug →
13–1Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–2In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 71% over 24ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2417–771%-0.00
dust2S2114–767%0.02
mirageC146–843%-0.02
cacheB137–654%-0.00
nukeD124–833%-0.00
ancientD51–420%-0.01
anubis—41–325%-0.01
train—21–150%0.02
warden—10–10%0.04
stronghold—11–0100%0.04
alpine—10–10%-0.02
poseidon—11–0100%-0.04
rooftop—11–0100%0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,948Matches
53%Win rate
1.00Avg K/D
72.1ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust250957%0.9613.7
Inferno29961%0.9813.5
Nuke23158%1.0213.9
Mirage22543%0.8813.3
Train8754%1.0313.9
Anubis7249%0.8914.4
Ancient2442%0.9214.7
Cache1937%0.9212.8

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.

16.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
40.5%Spray accuracy
78.9%Counter-strafing
8.1°Preaim
558msReaction time
54.0%T opening success
45.1%CT opening success
0.74Enemies flashed / flash
10.4%Flash assists
11.27HE damage / grenade
12.90Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0117%10 Oct →
inferno13–40.1022%10 Oct →
cache13–80.0322%9 Oct →
cache8–13-0.0514%8 Oct →
mirage2–13-0.0611%8 Oct →
dust213–110.0824%8 Oct →
mirage15–15-0.0711%8 Oct →
mirage4–13-0.0125%8 Oct →
cache13–9-0.0320%8 Oct →
dust213–60.0517%8 Oct →
dust216–140.0318%8 Oct →
inferno13–10.0113%8 Oct →
mirage13–3-0.0218%8 Oct →
cache11–130.0420%7 Oct →
dust213–11-0.0218%7 Oct →
mirage7–130.0012%5 Oct →
inferno13–9-0.0316%5 Oct →
inferno13–6-0.0215%5 Oct →
cache13–11-0.0612%4 Oct →
nuke9–130.0423%3 Oct →
dust213–80.0213%3 Oct →
inferno13–110.0313%3 Oct →
cache13–9-0.0013%3 Oct →
ancient13–100.049%3 Oct →
inferno13–110.0916%3 Oct →
dust213–100.0422%3 Oct →
dust27–130.0227%3 Oct →
dust212–160.0712%3 Oct →
nuke22–20-0.0618%30 Sept →
ancient7–130.0111%27 Sept →
nuke10–130.0320%27 Sept →
anubis8–13-0.0415%27 Sept →
cache1–13-0.0626%26 Sept →
mirage1–13-0.0711%26 Sept →
inferno10–13-0.0217%26 Sept →
ancient4–13-0.0613%26 Sept →
mirage13–8-0.0319%26 Sept →
nuke11–130.0113%26 Sept →
dust213–80.1117%26 Sept →
nuke13–50.0014%7 Sept →
inferno13–8-0.0213%7 Sept →
cache6–13-0.0318%7 Sept →
mirage13–11-0.0119%3 Sept →
mirage15–15-0.0012%1 Sept →
anubis7–13-0.0118%1 Sept →
mirage9–13-0.0229%1 Sept →
dust29–13-0.0325%1 Sept →
inferno13–50.0620%1 Sept →
cache10–13-0.0122%1 Sept →
nuke6–13-0.0723%1 Sept →
mirage13–70.0827%30 Aug →
inferno8–130.0120%28 Aug →
dust29–130.0012%22 Aug →
dust215–150.0119%22 Aug →
nuke5–13-0.0425%20 Aug →
dust28–13-0.0010%20 Aug →
nuke16–140.0621%11 Aug →
cache13–60.0133%11 Aug →
inferno15–19-0.0615%6 Aug →
inferno13–60.0127%4 Aug →
mirage13–7-0.0519%3 Aug →
inferno16–120.0120%9 Jul →
dust213–11-0.0024%6 Jul →
inferno13–40.0217%6 Jul →
inferno16–13-0.0915%3 Jun →
nuke13–9-0.0112%27 May →
inferno9–13-0.0428%25 May →
dust213–90.0316%19 May →
dust213–80.0618%18 May →
dust213–20.0119%17 May →
nuke6–130.0414%17 May →
nuke1–13-0.0024%10 May →
cache13–60.1126%9 May →
cache2–13-0.0622%9 May →
cache13–20.1015%9 May →
inferno13–20.048%3 May →
inferno13–11-0.0417%2 May →
anubis6–130.0011%27 Jan →
warden5–130.0414%24 Jan →
stronghold13–20.0418%24 Jan →
alpine10–13-0.0214%24 Jan →
inferno13–6-0.0321%22 Jan →
poseidon9–5-0.0423%22 Jan →
dust213–110.0722%21 Jan →
rooftop9–40.1716%21 Jan →
nuke4–13-0.0317%19 Jan →
mirage13–90.0221%19 Jan →
ancient5–13-0.0233%19 Jan →
inferno3–130.0216%19 Jan →
inferno8–8-0.0537%19 Jan →
inferno6–13-0.0215%18 Jan →
inferno19–15-0.0318%14 Jan →
mirage8–13-0.0118%14 Jan →
dust213–70.0318%11 Jan →
train13–30.0312%11 Jan →
dust28–13-0.0319%11 Jan →
train7–130.0114%11 Jan →
anubis13–70.0115%11 Jan →
dust216–12-0.0215%8 Jan →
inferno16–130.0215%8 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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