Fuki

Fuki — CS2 Stats

BR76561198350833788[U:1:390568060]Steam profile ↗✓ No bans

758Tracked matches64%Win rate2023Tracked since
1,472Hours in CS44Hrs last 2 wks
CSDB Rating7.5 StrongSupport
Premier CS Rating27,176Top 5% of 215,386 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#5914 of 261521 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 27,176 +1,113 18 Aug – 13 Nov · 26 days played
25,00027,765peak 27,76518 Aug13 Nov
27,765Peak Premier in tracked matches
44Days played since 2026-08-18

Premier CS Rating

  • 589 below peak (27,765)
  • +1,056 over 30 days · improving
  • +1,113 over 90 days
  • Next: Gold band at 30,000 — 2,824 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-13
  • Pink band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches175153+22
Win rate45%44%+1pp
K/D1.151.13+0.02
Headshot %42%43%−1pp

Measured 11 Oct 2026 → 14 Nov 2026; previous 13 Sep 2026 → 11 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.5%46.8%48.2%5.7% short
Shot accuracy3.3%13.0%13.2%9.9% short
Kill/death ratio1.101.061.07above
Match win rate43.6%46.3%46.9%3.3% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFukiFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER27,176 · Red 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

Aim89
Positioning58
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLLWLWWWWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.0pp headshot accuracy · +14ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 512ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 504ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 497ms

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 (+2.7 against its own average).

Aim8.9
Utility6.8
Positioning5.8
Opening Duels1.4
Clutch2.4

Sharp aimer

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim8.9
Positioning5.8
Utility6.8
Mechanics6.4
Opening Duels3.2
Win Impact9.8

Composite 7.5/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time514ms−31ms
first ⅓ avg 545ms → last ⅓ avg 514ms
Headshot accuracy16.2%+1.4%
first ⅓ avg 14.8% → last ⅓ avg 16.2%

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

0.30Best match rating · 9–2 · nuke, 8 Sept →
44%Best headshot accuracy · 2–13 · nuke, 13 Sept →
320msFastest reaction time · 2–13 · nuke, 13 Sept →
13–2Biggest win · ancient, 30 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 77% over 13nukeWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A169–756%0.04
mirageC167–944%0.01
nukeC145–936%0.03
anubisB147–750%0.03
ancientS1310–377%0.00
infernoC114–736%0.02
cacheS96–367%0.01
office—32–167%0.08
vertigo—31–233%0.03
train—11–0100%0.11

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,220Lifetime kills
1.10K/D · Top 50% of Level 8 players
2,315Matches
43.6%Match win rate
42.5%Headshot %
3.3%Shot accuracy
4,701MVPs
905Hours (in match)
2,386Bombs planted
368Bombs defused

Most-used weapons

AK-4715,397
AWP2,509
MP91,187
Knife1,094
FAMAS1,044

Lifetime map wins

3,264dust2
2,086inferno
1,734nuke
263vertigo
139train
131office
17italy
10militia

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

Faceit stats

Combat

623Matches
50%Win rate
1.05Avg K/D
78.5ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15456%1.0615.4
Dust213945%0.9915.2
Anubis9157%1.1516.9
Nuke7548%1.0715.2
Inferno5646%1.0914.8
Ancient4947%0.9714.4
Cache4349%0.9813.7
Overpass1436%1.1217.0

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.

16.5%Headshot accuracy
41.1%Accuracy (enemy spotted)
47.8%Spray accuracy
78.7%Counter-strafing
8.3°Preaim
514msReaction time
45.4%T opening success
40.4%CT opening success
0.62Enemies flashed / flash
3.1%Flash assists
10.88HE damage / grenade
16.77Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–130.0730%13 Nov →
nuke8–13-0.0028%13 Nov →
ancient10–130.0512%11 Nov →
anubis13–30.0126%11 Nov →
anubis4–130.0717%11 Nov →
ancient13–30.0116%8 Nov →
ancient13–10-0.028%7 Nov →
ancient13–11-0.0213%7 Nov →
mirage13–5-0.0310%7 Nov →
nuke14–160.0310%6 Nov →
inferno3–13-0.0527%6 Nov →
nuke13–90.0416%6 Nov →
cache13–8-0.0014%4 Nov →
anubis13–40.0113%31 Oct →
nuke13–100.0310%31 Oct →
nuke13–16-0.0228%31 Oct →
anubis6–13-0.0612%31 Oct →
mirage13–90.0223%31 Oct →
cache15–15-0.048%31 Oct →
dust213–5-0.0117%30 Oct →
dust216–120.0728%30 Oct →
office13–90.0415%30 Oct →
ancient13–2-0.0218%30 Oct →
dust213–50.0818%30 Oct →
anubis13–40.0319%30 Oct →
ancient13–11-0.0315%27 Oct →
dust28–130.0411%27 Oct →
inferno13–7-0.0517%25 Oct →
mirage7–130.029%23 Oct →
inferno15–150.0316%23 Oct →
nuke9–13-0.0217%23 Oct →
anubis9–130.0214%22 Oct →
mirage13–5-0.010%21 Oct →
cache6–0-0.0520%21 Oct →
nuke13–70.0714%21 Oct →
dust213–60.1024%21 Oct →
cache13–20.0512%21 Oct →
ancient13–20.1010%21 Oct →
dust213–100.0417%21 Oct →
anubis13–90.0417%15 Oct →
mirage14–16-0.0020%14 Oct →
ancient13–30.079%12 Oct →
train13–60.1116%12 Oct →
nuke4–13-0.0315%10 Oct →
inferno3–90.0419%9 Oct →
inferno16–19-0.0612%7 Oct →
ancient6–13-0.077%2 Oct →
dust212–120.0420%30 Sept →
vertigo13–70.015%29 Sept →
mirage4–13-0.0212%29 Sept →
ancient13–9-0.0510%27 Sept →
vertigo4–130.0413%23 Sept →
vertigo12–120.0621%23 Sept →
anubis6–13-0.0217%21 Sept →
inferno2–13-0.0128%20 Sept →
mirage1–13-0.0115%20 Sept →
anubis5–130.0117%20 Sept →
anubis4–20.0810%19 Sept →
mirage8–13-0.0610%17 Sept →
anubis11–130.1213%16 Sept →
dust215–150.1515%14 Sept →
mirage13–40.1314%14 Sept →
anubis10–130.0615%14 Sept →
ancient13–100.0721%14 Sept →
mirage0–13-0.036%13 Sept →
nuke2–130.0144%13 Sept →
dust213–100.0414%13 Sept →
ancient13–70.0415%13 Sept →
cache13–90.0213%13 Sept →
nuke13–110.1013%13 Sept →
mirage13–40.0717%13 Sept →
mirage9–130.0314%13 Sept →
dust213–110.0619%13 Sept →
dust24–13-0.065%12 Sept →
nuke8–13-0.018%12 Sept →
mirage14–16-0.0117%12 Sept →
dust214–16-0.0214%11 Sept →
mirage16–14-0.0324%9 Sept →
inferno9–50.1121%8 Sept →
ancient11–13-0.087%8 Sept →
nuke9–20.3018%8 Sept →
inferno9–70.0515%6 Sept →
inferno9–20.258%6 Sept →
dust213–100.0418%6 Sept →
office9–130.0225%5 Sept →
office13–60.1921%5 Sept →
anubis13–70.007%1 Sept →
nuke7–13-0.0613%31 Aug →
dust213–80.0820%30 Aug →
anubis13–50.017%30 Aug →
cache13–100.0214%28 Aug →
cache12–120.0712%28 Aug →
inferno15–15-0.0111%24 Aug →
dust27–13-0.0229%24 Aug →
mirage13–60.0313%23 Aug →
nuke10–130.0317%23 Aug →
cache12–30.0211%18 Aug →
mirage2–90.0212%18 Aug →
inferno11–13-0.0620%18 Aug →
cache6–13-0.0312%18 Aug →

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 →

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