JiujiG

JiujiG — CS2 Stats

FI76561198343710146[U:1:383444418]Steam profile ↗✓ No bans

2,145Tracked matches37%Win rate2020Tracked since
4,039Hours in CS24Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating21,256Top 50% of 204,316 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#64077 of 251410 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 21,256 -938 19 Mar – 11 Oct · 16 days played
20,92123,469peak 23,46919 Mar11 Oct
23,469Peak Premier in tracked matches
61Days played since 2026-03-19

Premier CS Rating

  • 2,213 below peak (23,469)
  • -2,009 over 90 days
  • Next: Red band at 25,000 — 3,744 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate44.6%50.9%
Shot accuracy14.0%13.7%
Kill/death ratio1.031.09
Match win rate48.1%48.4%

Share this profile

CSDB.GGJiujiGFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,256 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility73

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLWLLLLLWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · +17ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 628ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 593ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 584ms

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 (+2.5 against its own average).

Aim7.1
Utility7.3
Positioning5.8
Opening Duels2.6
Clutch3.4

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

Twistzz

Plays most like Twistzz 84% 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

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim7.1
Positioning5.8
Utility7.3
Mechanics4.3
Opening Duels2.2
Win Impact0.6

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time597ms−23ms
first ⅓ avg 620ms → last ⅓ avg 597ms
Headshot accuracy22.2%+0.4%
first ⅓ avg 21.8% → last ⅓ avg 22.2%

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

0.19Best match rating · 13–5 · anubis, 4 Jun →
45%Best headshot accuracy · 7–13 · nuke, 13 Jul →
438msFastest reaction time · 11–13 · inferno, 24 Aug →
13–2Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–10In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 54% over 13nukeWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
nukeC2510–1540%0.02
mirageC208–1240%0.03
infernoB199–1047%0.03
cacheB137–654%0.02
ancientB84–450%0.00
anubisB63–350%0.02
overpass—41–325%0.05
dust2—32–167%0.02
vertigo—22–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,589Lifetime kills
1.03K/D
5,224Matches
48.1%Match win rate
44.6%Headshot %
14.0%Shot accuracy · Top 50% of Level 10 players
13,674MVPs
2,319Hours (in match)
6,011Bombs planted
1,882Bombs defused

Most-used weapons

AK-4735,864
AWP4,990
MAC-103,008
P902,551
Knife2,440
MP92,232

Lifetime map wins

6,903nuke
6,890inferno
6,130vertigo
3,444train
3,234dust2
311cbble
245lake
84office

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

Faceit stats

Combat

1,737Matches
52%Win rate
1.04Avg K/D
72.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage28154%1.0214.4
Nuke17656%1.0916.1
Inferno13148%1.0615.1
Anubis11448%0.9714.7
Ancient10543%0.9513.6
Vertigo7967%1.1916.6
Dust25334%0.8413.1
Overpass4065%1.1115.9

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.

22.2%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.8%Spray accuracy
69.4%Counter-strafing
9.9°Preaim
595msReaction time
30.6%T opening success
46.9%CT opening success
0.71Enemies flashed / flash
12.8%Flash assists
12.08HE damage / grenade
9.75Flashes / 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 30.6251% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0625%11 Oct →
anubis7–20.0718%11 Oct →
mirage11–130.1127%9 Oct →
cache4–13-0.0219%9 Oct →
mirage0–90.0440%8 Oct →
nuke10–130.0120%2 Oct →
ancient9–13-0.0310%2 Oct →
nuke13–20.0232%25 Sept →
nuke22–250.0117%24 Sept →
nuke13–40.0524%24 Sept →
cache13–110.0116%24 Sept →
inferno13–110.0417%21 Sept →
anubis8–13-0.0119%6 Sept →
nuke16–120.0224%6 Sept →
vertigo13–80.0324%2 Sept →
inferno13–90.0927%2 Sept →
cache6–13-0.0124%2 Sept →
mirage9–130.0020%1 Sept →
inferno9–13-0.0318%31 Aug →
mirage6–13-0.069%30 Aug →
cache13–50.0933%26 Aug →
cache13–90.0333%26 Aug →
nuke8–130.0418%24 Aug →
inferno11–130.0827%24 Aug →
nuke13–160.0121%24 Aug →
nuke6–13-0.0019%24 Aug →
nuke13–40.0433%23 Aug →
ancient9–130.0129%8 Aug →
mirage6–13-0.0426%7 Aug →
ancient7–13-0.0313%4 Aug →
anubis13–16-0.0512%4 Aug →
ancient16–120.0214%3 Aug →
mirage16–140.0323%2 Aug →
nuke13–11-0.0422%2 Aug →
nuke9–130.0014%31 Jul →
mirage10–13-0.0421%31 Jul →
vertigo13–50.1231%31 Jul →
dust213–90.0319%31 Jul →
cache9–130.1324%31 Jul →
mirage6–130.0126%30 Jul →
mirage13–110.0327%24 Jul →
inferno5–90.0132%23 Jul →
cache13–20.0517%22 Jul →
cache16–140.0321%22 Jul →
cache13–6-0.0422%21 Jul →
inferno11–13-0.0216%18 Jul →
cache4–13-0.0810%18 Jul →
nuke7–130.0145%13 Jul →
inferno13–90.1527%13 Jul →
nuke10–130.0128%9 Jul →
nuke17–190.0716%8 Jul →
ancient13–80.038%8 Jul →
cache5–13-0.0610%6 Jul →
mirage0–2-0.020%6 Jul →
nuke14–16-0.0122%5 Jul →
ancient13–70.0418%3 Jul →
inferno3–130.0019%2 Jul →
mirage13–100.1017%1 Jul →
inferno13–80.1226%1 Jul →
mirage11–130.0517%28 Jun →
inferno7–13-0.073%27 Jun →
ancient5–00.0517%27 Jun →
inferno8–130.0527%25 Jun →
mirage13–60.0923%8 Jun →
nuke13–90.0225%8 Jun →
inferno9–130.0224%6 Jun →
overpass9–130.0426%6 Jun →
inferno13–8-0.0333%4 Jun →
anubis13–50.1930%4 Jun →
nuke15–150.0022%27 May →
cache3–13-0.0433%23 May →
dust24–13-0.0032%10 May →
cache13–70.1621%10 May →
inferno13–10-0.0031%29 Apr →
mirage13–90.0420%28 Apr →
nuke7–130.0033%27 Apr →
ancient7–13-0.0511%25 Apr →
dust213–50.0422%25 Apr →
mirage11–130.0130%20 Apr →
nuke13–10-0.0136%19 Apr →
anubis9–13-0.0511%18 Apr →
mirage13–80.0426%11 Apr →
mirage16–120.0726%11 Apr →
inferno5–13-0.0118%31 Mar →
overpass14–16-0.0318%30 Mar →
nuke12–16-0.0511%29 Mar →
nuke13–11-0.0227%29 Mar →
overpass13–80.099%29 Mar →
mirage8–130.1324%29 Mar →
inferno13–70.1119%29 Mar →
mirage9–130.0112%28 Mar →
nuke10–13-0.0526%27 Mar →
overpass8–130.0826%27 Mar →
inferno16–130.0116%27 Mar →
nuke13–90.0718%23 Mar →
nuke13–80.1118%22 Mar →
inferno16–140.049%22 Mar →
mirage13–9-0.0210%21 Mar →
inferno16–190.0320%21 Mar →
anubis16–14-0.0021%19 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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