kato

kato — CS2 Stats

76561198387062435[U:1:426796707]Steam profile ↗✓ No bans

676Tracked matches50%Win rate2020Tracked since
4,085Hours in CS46Hrs last 2 wks
CSDB Rating7.1 StrongSupport
Premier CS Rating22,923Top 25% of 212,910 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#44448 of 259623 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (10 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: 22,923 +2,564 30 Aug – 24 Oct · 21 days played
19,88823,540peak 23,54030 Aug24 Oct
23,540Peak Premier in tracked matches
23Days played since 2026-08-30

Premier CS Rating

  • 617 below peak (23,540)
  • +706 over 30 days · improving
  • Next: Red band at 25,000 — 2,077 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate52.7%48.2%50.9%above
Shot accuracy7.4%13.2%13.7%6.3% short
Kill/death ratio1.031.071.090.06 short
Match win rate51.9%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkatoFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,923 · Pink 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

Aim77
Positioning66
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWWWLLLWLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −5.3pp headshot accuracy · −9ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 547ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

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).

Aim7.7
Utility7.6
Positioning6.6
Opening Duels3.5
Clutch2.8

Effective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 565ms 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

Aim7.7
Positioning6.6
Utility7.6
Mechanics7.5
Opening Duels5.7
Win Impact5.0

Composite 7.1/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time563ms−10ms
first ⅓ avg 573ms → last ⅓ avg 563ms
Headshot accuracy22.2%−1.8%
first ⅓ avg 24.0% → 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

0.22Best match rating · 10–2 · mirage, 11 Oct →
50%Best headshot accuracy · 13–3 · dust2, 9 Oct →
375msFastest reaction time · 9–13 · inferno, 18 Oct →
13–0Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
9–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 86% over 7infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3420–1459%0.01
dust2S1913–668%0.04
infernoD144–1029%0.01
cacheA106–460%0.01
nukeC94–544%-0.00
ancientS76–186%0.03
anubisS65–183%-0.02
overpass—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,745Lifetime kills
1.03K/D
2,628Matches
51.9%Match win rate · Top 25% of Level 9 players
52.7%Headshot % · Top 50% of Level 9 players
7.4%Shot accuracy
7,930MVPs
1,267Hours (in match)
2,001Bombs planted
744Bombs defused

Most-used weapons

AK-4724,739
AWP6,555
Knife1,542
MP91,063

Lifetime map wins

5,553dust2
2,739inferno
1,116nuke
753train
390vertigo
35cbble
15office
8italy

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

Faceit stats

Combat

215Matches
54%Win rate
1.10Avg K/D
85.5ADR
55%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6148%1.1316.6
Dust25562%1.1116.9
Inferno3057%1.1416.0
Anubis2737%1.0115.8
Ancient1968%1.0916.3
Cache1573%1.1316.7
Nuke540%0.9115.4
Vertigo333%0.9617.7

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.

21.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
39.4%Spray accuracy
83.8%Counter-strafing
11.4°Preaim
565msReaction time
60.1%T opening success
45.5%CT opening success
0.84Enemies flashed / flash
11.3%Flash assists
8.95HE damage / grenade
12.65Flashes / match

Recommended for you

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0810%24 Oct →
mirage13–00.038%24 Oct →
mirage13–7-0.0321%21 Oct →
nuke7–130.016%19 Oct →
cache6–130.0136%19 Oct →
inferno9–13-0.0711%19 Oct →
ancient13–80.0016%19 Oct →
dust22–130.0630%18 Oct →
mirage13–70.0428%18 Oct →
mirage16–130.0113%18 Oct →
nuke13–11-0.0317%18 Oct →
mirage5–13-0.0122%18 Oct →
cache5–130.0520%18 Oct →
inferno6–130.0832%18 Oct →
inferno9–130.1330%18 Oct →
inferno9–13-0.0214%18 Oct →
anubis13–100.0523%17 Oct →
mirage13–60.0220%17 Oct →
mirage10–130.0325%17 Oct →
mirage6–13-0.0729%17 Oct →
anubis13–9-0.0124%17 Oct →
mirage4–130.0231%16 Oct →
cache9–130.0820%15 Oct →
mirage5–130.0930%15 Oct →
mirage13–40.1128%15 Oct →
cache13–10-0.0026%14 Oct →
cache12–3-0.0017%14 Oct →
anubis13–110.0014%14 Oct →
ancient13–40.1116%14 Oct →
mirage7–130.0321%14 Oct →
cache13–100.0827%13 Oct →
mirage2–13-0.0444%13 Oct →
mirage13–110.0223%13 Oct →
anubis13–7-0.030%13 Oct →
cache13–5-0.0320%12 Oct →
cache13–11-0.0226%12 Oct →
dust25–10.0146%12 Oct →
inferno6–13-0.0823%12 Oct →
mirage10–13-0.0127%12 Oct →
mirage13–30.0217%11 Oct →
dust213–30.1731%11 Oct →
nuke11–130.0413%11 Oct →
dust213–30.0831%11 Oct →
mirage13–4-0.0418%11 Oct →
mirage13–20.0827%11 Oct →
mirage10–20.2235%11 Oct →
mirage13–50.0821%11 Oct →
dust213–7-0.0419%11 Oct →
mirage13–30.0927%11 Oct →
dust213–90.0511%10 Oct →
dust213–20.1130%10 Oct →
dust25–13-0.0222%10 Oct →
dust22–13-0.0116%10 Oct →
mirage13–70.030%9 Oct →
dust213–3-0.0450%9 Oct →
ancient13–50.0110%9 Oct →
inferno13–8-0.017%8 Oct →
dust213–80.0425%8 Oct →
inferno13–6-0.0115%8 Oct →
mirage3–13-0.1013%6 Oct →
inferno7–13-0.0218%6 Oct →
cache10–13-0.0711%6 Oct →
dust29–130.0728%6 Oct →
mirage16–14-0.0912%6 Oct →
inferno6–13-0.0635%6 Oct →
dust213–60.0424%5 Oct →
mirage10–20.0314%5 Oct →
inferno13–20.1339%5 Oct →
mirage13–9-0.0426%5 Oct →
inferno11–13-0.0122%5 Oct →
nuke10–13-0.0127%5 Oct →
ancient13–50.1038%5 Oct →
inferno9–13-0.0429%5 Oct →
inferno9–13-0.0015%4 Oct →
cache13–9-0.0129%4 Oct →
mirage5–13-0.0126%4 Oct →
dust210–13-0.0317%30 Sept →
nuke14–16-0.0427%30 Sept →
overpass6–13-0.0036%30 Sept →
dust213–6-0.0134%30 Sept →
mirage13–50.0319%30 Sept →
ancient13–8-0.0133%30 Sept →
inferno13–70.0433%30 Sept →
nuke13–10-0.0517%27 Sept →
anubis11–13-0.0326%27 Sept →
mirage16–14-0.0318%27 Sept →
ancient10–130.0330%27 Sept →
mirage12–16-0.0225%22 Sept →
mirage7–130.0224%21 Sept →
mirage13–100.0918%21 Sept →
dust25–130.0617%21 Sept →
mirage11–13-0.0719%21 Sept →
nuke13–30.0833%19 Sept →
anubis13–8-0.0712%19 Sept →
dust213–30.0414%19 Sept →
nuke4–13-0.0518%19 Sept →
ancient19–17-0.0218%18 Sept →
dust222–200.0117%18 Sept →
mirage9–13-0.0616%18 Sept →
nuke13–110.0221%18 Sept →

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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