kusunoki

kusunoki — CS2 Stats

CA76561198999170546[U:1:1038904818]Steam profile ↗✓ No bans

712Tracked matches68%Win rate2020Tracked since
1,636Hours in CS14Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 918 → 918
+21Tracked matches · now 712
+12.3ppWin rate · 55.6% → 67.9%

Rating over time

Premier CS Rating: 15,812 -2,340 15 Apr – 6 Jul · 14 days played
15,81219,163peak 19,16315 Apr6 Jul
Faceit ELO: 918 +0 29 Aug – 19 Sept · 2 observations
918918peak 91829 Aug19 Sept
19,263Peak Premier in tracked matches
918Highest Faceit ELO seen on CSDB
43Days played since 2026-04-15

Faceit ELO

  • At peak — 918
  • Next: Level 5 at 1,051 — 133 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-29
  • Level 3 first seen 2026-08-29

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches33——
Win rate64%——
K/D1.06——
Headshot %47%——

Measured 13 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

Share this profile

CSDB.GGkusunokiPEAK ELO918csdb.gg/stats

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Performance scores

Aim76
Positioning58
Utility33

0–100 skill scores via Leetify.

Recent form

HOT48–45–7Last 10048%Win rateWLWLWWWTWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.0pp headshot accuracy · +9ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

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 (+2.4 against its own average).

Aim7.6
Utility3.3
Positioning5.8
Opening Duels2.8
Clutch1.8

Strong CT-side openerLimited utility dependence

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.6
Positioning5.8
Utility3.3
Mechanics6.5
Opening Duels3.7
Win Impact10.0

Composite 5.7/10 (Solid), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time544ms−95ms
first ⅓ avg 639ms → last ⅓ avg 544ms
Headshot accuracy17.1%−2.8%
first ⅓ avg 20.0% → last ⅓ avg 17.1%

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

0.12Best match rating · 13–5 · inferno, 29 Sept →
40%Best headshot accuracy · 7–13 · inferno, 20 Apr →
422msFastest reaction time · 4–13 · mirage, 10 May →
13–1Biggest win · inferno, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB4524–2153%-0.01
dust2B2312–1152%-0.01
ancientD82–625%-0.02
nukeC83–538%0.01
mirageD72–529%-0.03
overpassS64–267%0.01
cache—11–0100%-0.01
anubis—10–10%-0.04
office—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,555Lifetime kills
1.34K/D · Top 10% of tracked players
7,474Matches
81.0%Match win rate · Top 1% of tracked players
44.8%Headshot % · Top 50% of tracked players
13.7%Shot accuracy · Top 50% of tracked players
9,004MVPs
952Hours (in match)
2,304Bombs planted
2,129Bombs defused

Most-used weapons

AK-4715,433
AWP10,366
SSG 081,636
Negev1,543
Knife1,506

Lifetime map wins

5,763inferno
4,275dust2
2,660nuke
1,139vertigo
365train
170office
137italy
107lake

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

Faceit stats

Combat

65Matches
45%Win rate
1.05Avg K/D
70.7ADR
40%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%1.1517.6
Dust2540%0.7911.2
Vertigo425%0.8414.3
Nuke333%1.1019.3
Ancient333%0.609.7
Mirage250%1.1614.5
Anubis250%1.0814.0

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.

16.6%Headshot accuracy
37.4%Accuracy (enemy spotted)
37.3%Spray accuracy
79.4%Counter-strafing
9.2°Preaim
547msReaction time
37.8%T opening success
51.6%CT opening success
0.30Enemies flashed / flash
5.6%Flash assists
12.84HE damage / grenade
1.73Flashes / 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 0.2983 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.7518% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0115%9 Oct →
inferno8–13-0.0419%8 Oct →
inferno13–9-0.0328%8 Oct →
inferno4–13-0.0316%7 Oct →
inferno13–80.0615%7 Oct →
inferno13–40.0816%6 Oct →
inferno13–60.0720%6 Oct →
inferno12–12-0.007%5 Oct →
inferno13–110.0215%3 Oct →
ancient13–80.0117%2 Oct →
inferno13–50.1223%29 Sept →
dust213–70.0419%29 Sept →
inferno6–130.0113%29 Sept →
inferno5–13-0.0711%27 Sept →
inferno14–16-0.0115%27 Sept →
inferno13–1-0.0216%24 Sept →
inferno13–60.0121%24 Sept →
inferno8–13-0.0619%24 Sept →
inferno5–13-0.0411%24 Sept →
inferno13–11-0.0422%23 Sept →
inferno13–40.0216%23 Sept →
inferno13–4-0.0213%18 Sept →
inferno10–13-0.077%18 Sept →
dust213–30.066%18 Sept →
inferno13–20.0023%17 Sept →
inferno0–13-0.0518%17 Sept →
dust213–4-0.0118%17 Sept →
dust212–12-0.0214%13 Sept →
dust213–100.0324%13 Sept →
dust213–7-0.0520%11 Sept →
inferno13–10-0.0224%9 Sept →
inferno13–8-0.0330%9 Sept →
inferno12–12-0.0414%9 Sept →
dust213–5-0.0219%9 Sept →
ancient10–130.0318%2 Sept →
dust27–13-0.1212%2 Sept →
inferno13–11-0.0313%18 Aug →
cache13–8-0.0116%17 Jul →
inferno13–10-0.0017%14 Jul →
dust22–13-0.0732%14 Jul →
inferno13–30.0628%12 Jul →
dust22–13-0.0415%12 Jul →
mirage12–12-0.0418%12 Jul →
overpass13–80.0021%6 Jul →
ancient8–13-0.0421%6 Jul →
overpass8–13-0.0510%6 Jul →
mirage13–7-0.0029%6 Jul →
mirage6–13-0.0622%6 Jul →
dust29–13-0.0022%6 Jul →
mirage6–13-0.0331%6 Jul →
inferno13–16-0.0217%5 Jul →
inferno7–00.0236%3 Jul →
nuke8–130.0116%3 Jul →
inferno15–15-0.0512%3 Jul →
inferno6–13-0.0910%3 Jul →
inferno0–13-0.0221%3 Jul →
ancient13–8-0.0320%29 Jun →
nuke5–130.0223%29 Jun →
inferno13–7-0.0223%26 Jun →
inferno8–130.0017%24 Jun →
dust213–9-0.0414%24 Jun →
inferno4–130.0017%22 Jun →
dust24–13-0.0121%22 Jun →
mirage13–110.0422%22 Jun →
nuke13–30.0628%19 Jun →
nuke13–8-0.0321%17 Jun →
nuke2–13-0.0718%15 Jun →
mirage4–13-0.0316%10 May →
dust213–11-0.0225%8 May →
overpass13–50.0723%8 May →
anubis5–13-0.0417%8 May →
dust213–11-0.0427%8 May →
overpass9–130.0018%6 May →
inferno13–30.0219%6 May →
office4–13-0.0525%5 May →
inferno6–130.0539%5 May →
inferno13–20.0212%5 May →
inferno5–13-0.0127%5 May →
dust29–130.0222%3 May →
nuke14–16-0.0121%3 May →
dust212–12-0.0612%3 May →
inferno11–13-0.0514%3 May →
nuke11–13-0.0217%28 Apr →
dust211–130.0616%28 Apr →
dust213–11-0.0219%28 Apr →
ancient7–13-0.0722%28 Apr →
mirage11–13-0.074%25 Apr →
ancient4–13-0.0810%25 Apr →
dust210–130.0535%22 Apr →
dust29–13-0.0111%20 Apr →
inferno13–7-0.0213%20 Apr →
inferno7–13-0.0340%20 Apr →
nuke13–30.0919%20 Apr →
dust213–60.0634%17 Apr →
overpass13–80.0210%17 Apr →
overpass13–80.0419%16 Apr →
ancient7–13-0.0117%16 Apr →
dust213–70.0323%15 Apr →
ancient15–15-0.0217%15 Apr →
inferno13–110.0415%15 Apr →

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.