zifu

zifu — CS2 Stats

JP76561199380491923[U:1:1420226195]Steam profile ↗✓ No bans

725Tracked matches43%Win rate2024Tracked since
725Hours in CS
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 6 · 1,295 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,295 → 1,295
+56Tracked matches · now 725
−3.6ppWin rate · 46.4% → 42.9%

Rating over time

Faceit ELO: 1,295 +0 1 Sept – 25 Sept · 2 observations
1,2951,295peak 1,2951 Sept25 Sept
1,295Highest Faceit ELO seen on CSDB
53Days played since 2026-06-22

Faceit ELO

  • At peak — 1,295
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 56 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-01
  • Level 5 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate52.1%44.8%45.7%above
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio1.061.031.05meets
Match win rate42.5%45.2%45.7%3.2% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGzifuFACEITLevel 6 · 1,295 ELOSTANDINGTop 54.0% of ranked30 DAYS0 ELOPEAK ELO1,295csdb.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

Aim70
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

HOT39–53–8Last 10039%Win rateWWWWLWWWLL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −0.0pp headshot accuracy · +5ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 572ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 613ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 610ms

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

Aim7.0
Utility5.4
Positioning5.6
Opening Duels2.8
Clutch3.6

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

iM

Plays most like iM 92% 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. 603ms 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

Aim7.0
Positioning5.6
Utility5.4
Mechanics7.9
Opening Duels4.0
Win Impact2.6

Composite 5.3/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time607ms−64ms
first ⅓ avg 671ms → last ⅓ avg 607ms
Headshot accuracy19.2%−5.8%
first ⅓ avg 25.0% → last ⅓ avg 19.2%

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

0.11Best match rating · 13–6 · dust2, 27 Jun →
47%Best headshot accuracy · 5–13 · dust2, 27 Jun →
406msFastest reaction time · 13–11 · ancient, 2 Oct →
13–2Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
4–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 50% over 12infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3412–2235%-0.00
ancientB3014–1647%-0.01
nukeB126–650%-0.01
mirageC114–736%-0.00
infernoD51–420%-0.03
cacheC52–340%-0.02
anubis—30–30%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

30,846Lifetime kills
1.06K/D · Top 50% of Level 6 players
1,637Matches
42.5%Match win rate
52.1%Headshot % · Top 25% of Level 6 players
0.0%Shot accuracy
2,400MVPs
725Hours (in match)
1,560Bombs planted
339Bombs defused

Most-used weapons

Lifetime map wins

4,500dust2
1,055nuke
991inferno
516vertigo
370train
1ar_shoots

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

Faceit stats

Combat

237Matches
52%Win rate
0.95Avg K/D
72.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8058%0.9513.8
Dust27862%1.0314.1
Nuke3148%0.8413.1
Mirage1921%0.7412.2
Anubis1718%0.9114.9
Train683%1.2215.7
Inferno425%1.0811.8
Overpass10%0.315.0

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.

18.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.1%Spray accuracy
85.4%Counter-strafing
10.7°Preaim
603msReaction time
50.7%T opening success
41.0%CT opening success
0.42Enemies flashed / flash
11.4%Flash assists
10.82HE damage / grenade
10.15Flashes / 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 0.4202 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0918%28 Oct →
inferno13–90.0315%28 Oct →
ancient13–70.0131%26 Oct →
ancient13–50.0231%20 Oct →
mirage8–13-0.0223%16 Oct →
mirage13–6-0.029%16 Oct →
dust213–8-0.0619%15 Oct →
nuke13–10-0.0123%15 Oct →
mirage10–13-0.0518%13 Oct →
dust29–130.0128%10 Oct →
dust26–13-0.0417%10 Oct →
nuke11–130.0120%10 Oct →
inferno11–13-0.0329%10 Oct →
mirage13–8-0.0138%10 Oct →
ancient7–13-0.0419%7 Oct →
ancient8–13-0.0722%6 Oct →
nuke12–120.0221%5 Oct →
inferno4–13-0.1017%5 Oct →
dust213–90.0323%4 Oct →
dust213–80.0511%3 Oct →
dust210–13-0.0722%3 Oct →
anubis14–16-0.0615%2 Oct →
ancient13–11-0.049%2 Oct →
nuke2–13-0.127%2 Oct →
nuke4–130.0114%2 Oct →
dust210–13-0.0516%2 Oct →
mirage8–13-0.0711%30 Sept →
dust210–13-0.0213%29 Sept →
dust212–12-0.0513%29 Sept →
dust213–10-0.029%28 Sept →
mirage13–70.0221%24 Sept →
dust213–70.0226%23 Sept →
nuke13–100.0024%22 Sept →
nuke13–20.0832%21 Sept →
dust210–13-0.0320%16 Sept →
nuke13–7-0.0025%16 Sept →
mirage11–130.0218%12 Sept →
nuke9–13-0.0930%12 Sept →
dust27–13-0.0414%12 Sept →
ancient9–13-0.0511%11 Sept →
nuke13–30.0217%11 Sept →
ancient16–12-0.0521%6 Sept →
dust25–130.0614%5 Sept →
dust29–130.0247%5 Sept →
cache8–13-0.0413%4 Sept →
mirage10–13-0.0317%2 Sept →
inferno8–13-0.0628%30 Aug →
ancient13–20.1022%28 Aug →
ancient12–12-0.0527%28 Aug →
ancient13–4-0.0416%28 Aug →
ancient10–13-0.0217%25 Aug →
ancient13–50.0424%25 Aug →
ancient12–120.0524%24 Aug →
ancient13–70.0322%17 Aug →
ancient13–60.0825%17 Aug →
dust23–13-0.0028%28 Jul →
dust28–130.0020%28 Jul →
nuke7–13-0.0725%26 Jul →
ancient16–13-0.0220%26 Jul →
dust210–13-0.0025%26 Jul →
dust212–12-0.0215%25 Jul →
dust213–8-0.0117%25 Jul →
ancient13–10-0.0118%24 Jul →
dust213–40.0821%24 Jul →
ancient5–13-0.0028%23 Jul →
dust213–100.0018%21 Jul →
dust29–13-0.0325%21 Jul →
ancient2–13-0.0522%21 Jul →
mirage8–13-0.0227%16 Jul →
ancient10–13-0.0022%12 Jul →
ancient6–13-0.0425%12 Jul →
ancient12–120.0118%11 Jul →
cache13–3-0.0233%9 Jul →
cache9–00.0513%9 Jul →
cache2–13-0.0628%9 Jul →
ancient3–13-0.0221%8 Jul →
cache6–13-0.0431%8 Jul →
mirage13–40.0613%6 Jul →
anubis6–13-0.0538%5 Jul →
nuke16–13-0.0231%5 Jul →
ancient13–90.0321%5 Jul →
anubis5–13-0.0815%5 Jul →
ancient13–11-0.0321%5 Jul →
ancient6–13-0.0925%4 Jul →
dust219–17-0.0319%4 Jul →
ancient13–60.0127%4 Jul →
ancient8–13-0.0016%4 Jul →
dust215–15-0.0024%1 Jul →
ancient6–130.0234%1 Jul →
ancient13–16-0.0418%1 Jul →
dust211–130.0329%30 Jun →
dust213–110.0328%30 Jun →
dust28–130.0121%28 Jun →
dust213–60.1128%27 Jun →
dust25–13-0.0947%27 Jun →
dust24–13-0.0721%25 Jun →
mirage12–120.1029%25 Jun →
dust23–130.0523%25 Jun →
dust28–13-0.0334%23 Jun →
inferno3–13-0.0123%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 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.