JaJa

JaJa — CS2 Stats

DE76561199440819776[U:1:1480554048]Steam profile ↗✓ No bans

1,594Tracked matches57%Win rate2023Tracked since
967Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating7,752Light Blue band · top ~65.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 7,752 -1,883 26 Sept – 31 Oct · 19 days played
7,75210,910peak 10,91026 Sept31 Oct
11,328Peak Premier in tracked matches
19Days played since 2026-09-26

Premier CS Rating

  • 3,158 below peak (10,910)
  • -3,126 over 30 days · declining
  • Next: Blue band at 10,000 — 2,248 to go
  • Reached: Blue band · Light Blue band

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 rate33.6%42.7%43.8%10.1% short
Shot accuracy0.5%11.2%12.0%11.5% short
Kill/death ratio0.940.991.020.07 short
Match win rate42.5%43.9%44.7%2.2% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGJaJaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,752 · Light Blue 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

Aim54
Positioning52
Utility58

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLLLLLLWL

Last 10 vs previous 10: −60pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · −45ms reaction

Win rate down 60pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 608ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 623ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 645ms

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 (+1.6 against its own average).

Aim5.4
Utility5.8
Positioning5.2
Opening Duels2.9
Clutch3.0

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

Twistzz

Plays most like Twistzz 76% 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

Reaction time. 671ms 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

Aim5.4
Positioning5.2
Utility5.8
Mechanics7.0
Opening Duels4.1
Win Impact7.2

Composite 5.1/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time657ms+72ms
first ⅓ avg 586ms → last ⅓ avg 657ms
Headshot accuracy13.3%−3.3%
first ⅓ avg 16.5% → last ⅓ avg 13.3%

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

0.14Best match rating · 9–4 · inferno, 1 Oct →
36%Best headshot accuracy · 1–9 · cache, 29 Sept →
391msFastest reaction time · 9–7 · inferno, 16 Oct →
13–2Biggest win · inferno, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 68% over 19anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC3111–2035%-0.02
cacheS1913–668%0.01
nukeB136–746%-0.01
dust2B126–650%-0.02
mirageB105–550%0.01
ancientS96–367%0.01
anubisD60–60%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,328Lifetime kills
0.94K/D
2,645Matches
42.5%Match win rate
33.6%Headshot %
0.5%Shot accuracy
4,997MVPs
967Hours (in match)
2,753Bombs planted
621Bombs defused

Most-used weapons

AK-4710,303
AWP4,609
MP91,495
MAC-101,464
AUG1,074

Lifetime map wins

6,295inferno
2,963vertigo
2,273nuke
1,075dust2
171train
38ar_shoots
31ar_baggage
20office

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

Faceit stats

Combat

42Matches
43%Win rate
0.83Avg K/D
70.3ADR
32%Headshot %

Clutches & streaks

35%1v1 clutch win
7%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage944%0.8811.7
Cache838%0.6410.4
Anubis683%1.1013.7
Ancient650%0.9013.7
Inferno60%0.6512.5
Nuke540%0.7814.8
Dust210%0.6712.0
Train1100%1.2714.0

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.

12.7%Headshot accuracy
36.8%Accuracy (enemy spotted)
41.5%Spray accuracy
81.6%Counter-strafing
12.7°Preaim
671msReaction time
48.8%T opening success
43.8%CT opening success
0.67Enemies flashed / flash
5.1%Flash assists
8.36HE damage / grenade
6.65Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6981° — above the 12° mark we flag

    Aim Training →
  2. 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 12.7029% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.009%31 Oct →
inferno13–50.125%31 Oct →
nuke11–13-0.0215%25 Oct →
inferno6–13-0.0411%23 Oct →
dust210–130.0316%23 Oct →
inferno6–9-0.0320%23 Oct →
inferno4–9-0.0717%23 Oct →
dust22–13-0.0411%16 Oct →
inferno9–7-0.1014%16 Oct →
ancient9–13-0.017%14 Oct →
cache13–11-0.0511%14 Oct →
nuke5–13-0.057%13 Oct →
cache13–40.0113%13 Oct →
mirage13–11-0.079%9 Oct →
inferno13–50.0916%9 Oct →
ancient13–60.0413%9 Oct →
cache13–50.0112%9 Oct →
nuke13–11-0.0315%9 Oct →
mirage3–13-0.0311%9 Oct →
mirage13–70.0521%9 Oct →
ancient13–9-0.0119%8 Oct →
mirage5–13-0.0917%8 Oct →
cache13–70.0111%8 Oct →
nuke13–50.0120%8 Oct →
inferno9–70.0124%8 Oct →
inferno8–80.108%8 Oct →
dust210–13-0.018%8 Oct →
anubis9–130.0221%8 Oct →
nuke13–90.0210%8 Oct →
inferno7–9-0.0618%8 Oct →
inferno9–6-0.0615%8 Oct →
nuke13–80.0111%7 Oct →
inferno11–13-0.095%7 Oct →
inferno13–10-0.0321%7 Oct →
ancient13–6-0.0514%7 Oct →
dust213–9-0.0416%7 Oct →
inferno9–13-0.037%7 Oct →
ancient8–130.015%7 Oct →
dust27–13-0.0829%7 Oct →
inferno9–13-0.0011%6 Oct →
nuke10–13-0.0514%6 Oct →
mirage13–80.1316%6 Oct →
nuke10–130.0229%6 Oct →
cache13–80.0916%6 Oct →
dust27–13-0.0510%6 Oct →
nuke14–160.0117%6 Oct →
dust213–11-0.0520%6 Oct →
cache5–13-0.0917%6 Oct →
inferno13–2-0.058%6 Oct →
ancient13–40.0014%6 Oct →
inferno9–30.0622%6 Oct →
inferno3–9-0.1229%6 Oct →
ancient6–130.0111%5 Oct →
nuke6–13-0.0220%5 Oct →
dust216–120.0414%5 Oct →
anubis10–13-0.0711%5 Oct →
nuke13–11-0.025%5 Oct →
cache8–13-0.089%5 Oct →
inferno9–70.0022%5 Oct →
inferno3–9-0.1031%5 Oct →
inferno7–130.0111%5 Oct →
cache13–70.1311%4 Oct →
nuke13–110.0310%4 Oct →
inferno8–13-0.0021%4 Oct →
inferno9–70.0213%4 Oct →
cache10–130.018%4 Oct →
cache13–90.0313%4 Oct →
cache13–60.1228%4 Oct →
anubis8–130.0515%4 Oct →
inferno2–9-0.1321%4 Oct →
inferno6–9-0.0526%4 Oct →
anubis12–160.0120%3 Oct →
mirage11–13-0.0023%3 Oct →
mirage15–150.0625%3 Oct →
mirage11–13-0.0114%3 Oct →
nuke10–13-0.0223%3 Oct →
anubis5–13-0.048%2 Oct →
mirage13–80.0116%2 Oct →
dust213–110.0111%2 Oct →
inferno8–130.006%2 Oct →
dust213–4-0.0117%1 Oct →
ancient13–40.0418%1 Oct →
cache16–120.016%1 Oct →
ancient13–80.039%1 Oct →
inferno9–40.1413%1 Oct →
inferno2–9-0.0813%1 Oct →
inferno2–9-0.0816%30 Sept →
mirage13–90.054%30 Sept →
cache13–80.0117%30 Sept →
cache1–90.0036%29 Sept →
cache13–9-0.0215%29 Sept →
inferno15–150.0515%29 Sept →
dust210–30.0616%27 Sept →
cache9–130.029%27 Sept →
cache11–13-0.0316%27 Sept →
dust26–13-0.0713%27 Sept →
cache13–110.0318%27 Sept →
inferno4–9-0.0920%27 Sept →
cache13–90.0415%26 Sept →
anubis7–13-0.0323%26 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.