De_Samurai

De_Samurai — CS2 Stats

76561198274492781[U:1:314227053]Steam profile ↗✓ No bans

1,736Tracked matches48%Win rate2021Tracked since
2,334Hours in CS12Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating20,000Top 50% of 200,982 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79472 of 247866 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 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: 20,000 +1,490 11 Aug – 29 Sept · 17 days played
18,45520,000peak 20,00011 Aug29 Sept
Faceit ELO: 817 +0 10 Sept – 17 Sept · 2 observations
817817peak 81710 Sept17 Sept
20,115Peak Premier in tracked matches
817Highest Faceit ELO seen on CSDB
31Days played since 2026-08-09

Faceit ELO

  • At peak — 817
  • Next: Level 4 at 901 — 84 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-10
  • Level 2 first seen 2026-09-10

Premier CS Rating

  • At peak — 20,000
  • +206 over 30 days · steady
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.7%46.9%49.2%5.5% short
Shot accuracy10.7%13.0%13.4%2.7% short
Kill/death ratio0.961.081.120.16 short
Match win rate38.3%46.7%48.5%10.2% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDe_SamuraiPREMIER20,000 · Pink bandPEAK ELO817csdb.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

Aim79
Positioning47
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWWWLWLLWT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.2pp headshot accuracy · +1ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 503ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 537ms

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 (+1 against its own average).

Aim7.9
Utility5.3
Positioning4.7
Opening Duels2.7
Clutch4.4

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 58% on T to 37% on CT — first contacts on the defending side are being lost.

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

Aim7.9
Positioning4.7
Utility5.3
Mechanics7.6
Opening Duels4.4
Win Impact4.4

Composite 6.2/10 (Solid), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time544ms−14ms
first ⅓ avg 558ms → last ⅓ avg 544ms
Headshot accuracy17.8%−1.0%
first ⅓ avg 18.8% → last ⅓ avg 17.8%

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 · 13–2 · ancient, 18 Aug →
33%Best headshot accuracy · 11–13 · inferno, 9 Aug →
359msFastest reaction time · 13–8 · anubis, 15 Aug →
13–1Biggest win · ancient, 27 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 76% over 17infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C188–1044%-0.01
mirageC176–1135%-0.02
nukeS1713–476%-0.00
cacheC167–944%-0.01
ancientB136–746%0.01
anubisC83–538%-0.00
infernoD72–529%-0.01
train—32–167%-0.02
vertigo—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,793Lifetime kills
0.96K/D
4,649Matches
38.3%Match win rate
43.7%Headshot %
10.7%Shot accuracy
6,197MVPs
1,201Hours (in match)
1,173Bombs planted
568Bombs defused

Most-used weapons

AK-4715,922
AWP7,341
MP91,826
MP71,742
MAC-101,413

Lifetime map wins

6,885dust2
3,966nuke
2,546inferno
1,193train
633vertigo
139lake
114ar_shoots
107safehouse

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

Faceit stats

Combat

90Matches
54%Win rate
1.06Avg K/D
90.0ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22264%1.1316.4
Mirage2065%1.0417.4
Nuke1567%1.1717.0
Ancient1436%0.9614.4
Cache729%0.8417.3
Inferno650%1.2515.2
Anubis450%0.8714.5
Overpass10%1.1121.0

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.

18.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
38.1%Spray accuracy
84.2%Counter-strafing
9.7°Preaim
538msReaction time
57.6%T opening success
37.3%CT opening success
0.61Enemies flashed / flash
12.4%Flash assists
8.56HE damage / grenade
7.56Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.323% — below the 40% mark we flag

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 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0322%29 Sept →
mirage13–5-0.0111%29 Sept →
ancient13–11-0.0312%28 Sept →
mirage13–20.0317%28 Sept →
nuke6–13-0.0626%28 Sept →
anubis13–60.0120%28 Sept →
inferno1–13-0.1018%28 Sept →
cache3–13-0.0622%25 Sept →
vertigo13–9-0.0329%24 Sept →
cache12–12-0.0319%24 Sept →
mirage9–13-0.0617%18 Sept →
dust213–9-0.0215%18 Sept →
anubis5–130.007%18 Sept →
mirage9–13-0.0319%18 Sept →
train13–20.0117%18 Sept →
ancient13–60.0816%17 Sept →
mirage5–13-0.0018%15 Sept →
nuke13–6-0.0517%12 Sept →
mirage13–3-0.0418%12 Sept →
dust213–8-0.0119%12 Sept →
anubis13–10-0.009%12 Sept →
cache13–5-0.0021%12 Sept →
nuke4–13-0.0211%11 Sept →
cache7–13-0.0613%11 Sept →
ancient11–13-0.0119%10 Sept →
mirage11–13-0.0212%10 Sept →
dust29–130.0427%10 Sept →
dust29–130.0227%10 Sept →
inferno10–130.0127%10 Sept →
cache13–100.0314%10 Sept →
mirage12–12-0.0523%10 Sept →
dust212–12-0.0415%8 Sept →
mirage0–13-0.1011%7 Sept →
cache4–13-0.1024%7 Sept →
dust211–13-0.0520%7 Sept →
inferno10–130.0531%7 Sept →
mirage9–130.0112%6 Sept →
cache5–13-0.0125%5 Sept →
mirage13–3-0.0323%5 Sept →
nuke13–10-0.0418%5 Sept →
cache1–13-0.0528%4 Sept →
nuke3–00.0525%4 Sept →
dust213–4-0.0621%4 Sept →
nuke3–13-0.0824%4 Sept →
nuke12–120.0621%4 Sept →
nuke13–60.0314%3 Sept →
cache10–130.0115%3 Sept →
ancient9–130.0120%3 Sept →
nuke13–5-0.0418%3 Sept →
mirage13–90.0722%2 Sept →
dust213–20.0528%2 Sept →
mirage7–13-0.1029%28 Aug →
cache13–40.0516%28 Aug →
dust213–4-0.0211%28 Aug →
dust212–120.007%27 Aug →
anubis10–130.0017%27 Aug →
cache11–130.0919%27 Aug →
ancient13–10.0923%27 Aug →
anubis6–13-0.0317%27 Aug →
nuke16–120.0815%27 Aug →
ancient9–13-0.0314%27 Aug →
nuke13–80.0627%27 Aug →
nuke13–8-0.0330%25 Aug →
cache13–3-0.0215%21 Aug →
nuke13–50.0815%21 Aug →
ancient9–13-0.0711%20 Aug →
ancient13–7-0.037%20 Aug →
nuke13–10-0.0419%20 Aug →
dust213–5-0.038%19 Aug →
cache13–9-0.0116%19 Aug →
anubis12–16-0.0516%19 Aug →
dust212–12-0.0320%19 Aug →
train13–70.0217%18 Aug →
mirage13–10.0526%18 Aug →
ancient13–20.1717%18 Aug →
nuke13–11-0.0221%18 Aug →
mirage11–13-0.0418%17 Aug →
inferno13–7-0.0418%17 Aug →
cache13–7-0.0115%15 Aug →
anubis5–130.0226%15 Aug →
anubis13–80.0222%15 Aug →
inferno16–140.0111%13 Aug →
cache17–19-0.0322%13 Aug →
dust213–9-0.0220%13 Aug →
ancient4–130.0117%13 Aug →
dust27–13-0.0512%12 Aug →
mirage15–15-0.0712%12 Aug →
dust213–100.0420%11 Aug →
ancient6–130.0315%11 Aug →
nuke13–8-0.0226%11 Aug →
dust211–130.0522%11 Aug →
nuke13–50.0327%10 Aug →
cache13–11-0.0126%10 Aug →
ancient5–13-0.0712%10 Aug →
mirage7–130.0225%10 Aug →
dust28–130.0619%10 Aug →
dust24–13-0.0711%10 Aug →
ancient13–7-0.0313%10 Aug →
inferno11–13-0.0133%9 Aug →
train3–13-0.0817%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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