Katsukii

Katsukii — CS2 Stats

AU76561198845360049[U:1:885094321]Steam profile ↗✓ No bans

630Tracked matches41%Win rate2022Tracked since
CSDB Rating3.8 LearningSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,699 -823 3 Feb – 6 Jul · 27 days played
1,7804,670peak 4,6703 Feb6 Jul
4,670Peak Premier in tracked matches
38Days played since 2026-02-03

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

Performance scores

Aim47
Positioning30
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY35–60–5Last 10035%Win rateLLTLLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.1pp headshot accuracy · −80ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 601ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

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 (+2.9 against its own average).

Aim4.7
Utility5.8
Positioning3.0
Opening Duels0.0

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

NiKo

Plays most like NiKo 71% 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. 623ms 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

Aim4.7
Positioning3.0
Utility5.8
Mechanics4.7
Opening Duels0.0
Win Impact2.1

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time629ms−22ms
first ⅓ avg 652ms → last ⅓ avg 629ms
Headshot accuracy13.6%−2.0%
first ⅓ avg 15.5% → last ⅓ avg 13.6%

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

0.09Best match rating · 13–1 · cache, 9 Jun →
40%Best headshot accuracy · 9–13 · inferno, 8 Mar →
422msFastest reaction time · 7–13 · mirage, 25 Jun →
13–1Biggest win · cache, 9 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 60% over 5nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.02
infernoD175–1229%-0.04
mirageC156–940%-0.06
ancientD144–1029%-0.04
nukeD123–925%-0.04
anubisD103–730%-0.06
cacheA53–260%-0.02
overpass—42–250%-0.00
vertigo—30–30%-0.04
train—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.4%Spray accuracy
71.1%Counter-strafing
9.6°Preaim
623msReaction time
24.1%T opening success
28.1%CT opening success
0.69Enemies flashed / flash
3.2%Flash assists
9.21HE damage / grenade
7.66Flashes / 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. 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 13.6113% — below the 15% mark we flag

    Aim Training →
  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 24.0745% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0311%24 Sept →
vertigo8–13-0.028%24 Sept →
vertigo12–12-0.0417%24 Sept →
inferno7–13-0.024%12 Aug →
mirage6–13-0.0515%11 Aug →
cache13–5-0.0613%11 Jul →
dust213–90.0013%11 Jul →
ancient13–4-0.0810%11 Jul →
nuke13–4-0.0719%7 Jul →
inferno4–13-0.0723%7 Jul →
anubis3–13-0.1213%6 Jul →
ancient13–5-0.0810%6 Jul →
overpass13–8-0.0414%6 Jul →
inferno13–9-0.0225%6 Jul →
train0–13-0.0811%5 Jul →
cache13–90.0320%5 Jul →
ancient6–13-0.0413%3 Jul →
nuke11–130.0311%2 Jul →
dust24–13-0.059%2 Jul →
dust213–5-0.029%1 Jul →
dust211–13-0.0310%28 Jun →
inferno1–13-0.0812%28 Jun →
anubis11–13-0.0412%27 Jun →
mirage13–11-0.0412%27 Jun →
ancient13–90.0826%27 Jun →
anubis5–13-0.0410%27 Jun →
dust27–13-0.0614%27 Jun →
ancient10–13-0.0118%27 Jun →
nuke2–13-0.0917%27 Jun →
nuke6–1-0.020%25 Jun →
cache12–12-0.0812%25 Jun →
mirage7–13-0.098%25 Jun →
dust26–13-0.0631%25 Jun →
anubis3–13-0.096%25 Jun →
mirage8–13-0.1018%25 Jun →
inferno9–13-0.0013%24 Jun →
overpass13–11-0.0220%24 Jun →
ancient10–13-0.0610%24 Jun →
anubis13–10-0.0810%22 Jun →
cache4–13-0.087%22 Jun →
mirage13–9-0.0211%22 Jun →
inferno13–11-0.0710%20 Jun →
mirage3–13-0.095%16 Jun →
dust213–8-0.0218%16 Jun →
dust27–13-0.0610%16 Jun →
inferno2–13-0.0626%16 Jun →
ancient8–13-0.0920%15 Jun →
mirage13–6-0.0717%15 Jun →
dust213–40.056%15 Jun →
dust213–100.0723%15 Jun →
nuke12–160.0216%14 Jun →
nuke7–13-0.1011%14 Jun →
dust211–13-0.037%14 Jun →
nuke15–15-0.0616%14 Jun →
overpass6–130.0713%14 Jun →
ancient13–40.0622%13 Jun →
nuke7–13-0.0417%13 Jun →
dust213–70.0629%11 Jun →
nuke8–13-0.047%10 Jun →
dust29–13-0.0913%10 Jun →
ancient10–13-0.0612%10 Jun →
anubis16–130.0212%10 Jun →
cache13–10.0917%9 Jun →
inferno13–5-0.0223%8 Jun →
inferno3–130.0222%8 Jun →
nuke13–7-0.0120%8 Jun →
anubis4–13-0.079%8 Jun →
mirage13–10-0.0521%3 Apr →
dust213–80.0215%3 Apr →
mirage10–13-0.0022%12 Mar →
nuke10–13-0.068%9 Mar →
inferno13–20.0411%9 Mar →
inferno9–13-0.0540%8 Mar →
ancient0–3-0.070%8 Mar →
mirage13–2-0.077%6 Mar →
anubis6–13-0.1013%6 Mar →
ancient8–13-0.0311%6 Mar →
mirage7–13-0.0619%4 Mar →
nuke11–13-0.0025%23 Feb →
mirage5–13-0.0924%22 Feb →
inferno1–13-0.0423%18 Feb →
dust29–130.0418%18 Feb →
ancient10–13-0.073%18 Feb →
inferno6–13-0.0917%18 Feb →
dust213–9-0.0623%18 Feb →
mirage9–13-0.0636%18 Feb →
inferno10–13-0.124%16 Feb →
anubis2–9-0.1314%16 Feb →
dust21–13-0.1014%16 Feb →
ancient3–13-0.0620%16 Feb →
vertigo8–13-0.0616%16 Feb →
dust213–11-0.0711%13 Feb →
overpass15–15-0.016%13 Feb →
inferno7–90.017%13 Feb →
inferno3–9-0.145%13 Feb →
mirage13–11-0.0716%5 Feb →
anubis13–50.0114%5 Feb →
dust215–15-0.0120%5 Feb →
ancient8–13-0.0224%4 Feb →
inferno13–7-0.029%3 Feb →

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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