Kazuma Satou

Kazuma Satou — CS2 Stats

76561198129196824[U:1:168931096]Steam profile ↗✓ No bans

790Tracked matches41%Win rate2023Tracked since
1,201Hours in CS2Hrs last 2 wks
CSDB Rating3.9 LearningSupport
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,468 +4,539 17 Mar – 25 Apr · 12 days played
7,81712,468peak 12,46817 Mar25 Apr
12,692Peak Premier in tracked matches
42Days played since 2026-03-12

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

Performance scores

Aim46
Positioning36
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY43–45–12Last 10043%Win rateLLWWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.0pp headshot accuracy · −25ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 516ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 529ms

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 (+2.8 against its own average).

Aim4.6
Utility5.2
Positioning3.6
Opening Duels1.0
Clutch0.0

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 78% 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 →

CSDB Rating breakdown

Aim4.6
Positioning3.6
Utility5.2
Mechanics5.4
Opening Duels0.1
Win Impact1.9

Composite 3.9/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time531ms−74ms
first ⅓ avg 605ms → last ⅓ avg 531ms
Headshot accuracy15.1%+0.2%
first ⅓ avg 14.9% → last ⅓ avg 15.1%

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

0.17Best match rating · 13–9 · office, 25 Jul →
44%Best headshot accuracy · 13–5 · cache, 7 May →
391msFastest reaction time · 8–8 · vertigo, 12 Mar →
13–1Biggest win · anubis, 1 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 88% over 8cacheWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
vertigoD196–1332%-0.05
cacheD184–1422%-0.05
anubisC94–544%-0.03
officeB84–450%0.04
infernoA85–363%-0.02
mirageS87–188%-0.04
ancientC73–443%-0.05
nukeB63–350%-0.08
overpassB63–350%-0.01
dust2—41–325%-0.03
boulder—32–167%-0.05
shelter—21–150%0.01
fachwerk—10–10%-0.03
train—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

18,393Lifetime kills
0.76K/D
1,465Matches
40.8%Match win rate
43.5%Headshot % · Top 50% of tracked players
3.2%Shot accuracy
2,044MVPs
456Hours (in match)
1,080Bombs planted
171Bombs defused

Most-used weapons

Lifetime map wins

1,213vertigo
1,075dust2
991office
846inferno
804nuke
262train
48assault
23cbble

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

Faceit stats

Combat

10Matches
30%Win rate
0.85Avg K/D
88.0ADR
52%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo2100%1.1014.0
Mirage20%0.7612.5
Dust220%0.9616.0
Anubis20%0.549.5
Nuke1100%0.578.0
Inferno10%1.1515.0

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.

15.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
29.2%Spray accuracy
74.1%Counter-strafing
11.8°Preaim
527msReaction time
28.6%T opening success
31.1%CT opening success
0.58Enemies flashed / flash
6.4%Flash assists
7.38HE damage / grenade
6.63Flashes / 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. 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 28.6% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo9–13-0.068%25 Oct →
boulder10–13-0.0513%25 Oct →
boulder13–40.0117%25 Oct →
office13–90.0813%24 Sept →
vertigo5–13-0.095%24 Sept →
vertigo13–40.014%23 Sept →
vertigo13–10-0.0621%23 Sept →
vertigo5–13-0.0114%19 Sept →
fachwerk5–13-0.0318%6 Sept →
office8–130.0217%6 Sept →
boulder13–8-0.100%26 Aug →
shelter12–12-0.0213%28 Jul →
cache11–13-0.1111%28 Jul →
shelter13–100.0333%25 Jul →
office13–90.1722%25 Jul →
ancient9–13-0.0011%24 Jul →
nuke8–13-0.0921%18 Jul →
cache5–13-0.1120%18 Jul →
office13–100.027%9 Jul →
office6–130.0520%9 Jul →
cache12–12-0.0821%9 Jul →
cache12–12-0.1011%23 Jun →
vertigo13–40.0122%10 Jun →
vertigo6–13-0.0324%10 Jun →
vertigo10–13-0.0413%10 Jun →
anubis5–13-0.067%10 Jun →
ancient4–13-0.1327%10 Jun →
cache11–130.0131%7 Jun →
cache13–10-0.069%7 Jun →
office13–70.0111%6 Jun →
office3–7-0.060%6 Jun →
vertigo4–9-0.0724%1 Jun →
inferno8–8-0.0511%1 Jun →
nuke7–9-0.029%1 Jun →
cache7–13-0.0610%25 May →
anubis13–8-0.0018%25 May →
vertigo12–12-0.0521%25 May →
cache13–8-0.0415%25 May →
ancient13–8-0.0519%18 May →
anubis12–12-0.0717%14 May →
cache5–13-0.086%14 May →
nuke9–70.0222%11 May →
nuke1–9-0.200%11 May →
cache9–13-0.0526%11 May →
cache5–130.006%9 May →
overpass7–130.0222%9 May →
mirage13–4-0.0016%9 May →
dust29–13-0.0717%9 May →
vertigo2–13-0.0627%7 May →
cache13–50.0444%7 May →
cache13–9-0.038%30 Apr →
cache11–13-0.0515%30 Apr →
cache11–13-0.068%30 Apr →
cache4–130.0238%30 Apr →
cache5–13-0.0644%29 Apr →
cache12–12-0.0411%29 Apr →
inferno16–130.0313%25 Apr →
inferno14–160.0018%25 Apr →
anubis16–140.0216%25 Apr →
inferno13–10-0.0814%22 Apr →
ancient13–4-0.0511%22 Apr →
train11–13-0.068%22 Apr →
anubis9–13-0.0811%18 Apr →
mirage13–2-0.0411%18 Apr →
mirage13–11-0.0633%15 Apr →
dust210–13-0.0519%12 Apr →
inferno13–110.0015%12 Apr →
mirage13–4-0.060%9 Apr →
vertigo3–7-0.050%8 Apr →
vertigo4–13-0.0813%8 Apr →
mirage8–13-0.104%4 Apr →
nuke13–8-0.1019%4 Apr →
anubis13–10-0.054%4 Apr →
anubis12–12-0.0417%1 Apr →
anubis13–10.0415%1 Apr →
overpass16–140.0315%31 Mar →
mirage13–10-0.0415%30 Mar →
dust213–40.0114%30 Mar →
anubis12–12-0.0612%30 Mar →
ancient3–13-0.0611%29 Mar →
inferno6–130.0214%29 Mar →
vertigo13–6-0.0421%29 Mar →
vertigo13–5-0.0012%29 Mar →
inferno13–8-0.0426%29 Mar →
mirage13–110.0012%28 Mar →
overpass13–30.0214%28 Mar →
ancient13–40.0219%28 Mar →
mirage13–30.0127%27 Mar →
nuke13–9-0.0823%27 Mar →
vertigo9–13-0.058%19 Mar →
overpass1–13-0.0911%19 Mar →
overpass12–12-0.0418%17 Mar →
ancient8–13-0.0522%17 Mar →
inferno13–4-0.0316%17 Mar →
overpass13–110.0132%14 Mar →
dust24–13-0.0113%14 Mar →
vertigo13–10-0.0123%14 Mar →
office4–130.0017%14 Mar →
vertigo8–8-0.138%12 Mar →
vertigo12–12-0.1117%12 Mar →

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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