Sasuke

Sasuke — CS2 Stats

EH76561198254773782[U:1:294508054]Steam profile ↗✓ No bans

1,376Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating15,212Purple band · top ~27.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 15,212 +3,328 25 May – 3 Nov · 23 days played
11,39316,151peak 16,15125 May3 Nov
16,623Peak Premier in tracked matches
30Days played since 2026-05-25

Premier CS Rating

  • 939 below peak (16,151)
  • +804 over 30 days · improving
  • +648 over 90 days
  • Next: Pink band at 20,000 — 4,788 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-20
  • Blue band first seen 2026-09-06

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

Share this profile

CSDB.GGSasukeFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,212 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning42
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWTLLLLWWWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · +67ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 587ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 553ms

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 (+1.2 against its own average).

Aim8.0
Utility3.7
Positioning4.2
Opening Duels0.7
Clutch3.4

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

ropz

Plays most like ropz 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Reaction time. 555ms 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

Aim8.0
Positioning4.2
Utility3.7
Mechanics8.1
Opening Duels1.0
Win Impact7.2

Composite 5.8/10 (Solid), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time554ms−17ms
first ⅓ avg 571ms → last ⅓ avg 554ms
Headshot accuracy15.2%+3.9%
first ⅓ avg 11.3% → last ⅓ avg 15.2%

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

0.17Best match rating · 13–6 · mirage, 16 Jul →
31%Best headshot accuracy · 13–8 · anubis, 20 Oct →
367msFastest reaction time · 13–1 · anubis, 19 Oct →
13–0Biggest win · cache, 2 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 71% over 14infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%0.00
infernoD186–1233%-0.04
anubisA1810–856%0.01
cacheS1410–471%0.00
dust2C83–538%-0.02
ancientS64–267%-0.02
nukeC52–340%0.04
overpass—31–233%0.01
eldorado—20–20%0.01
vertigo—10–10%-0.14
debris—10–10%-0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches
54%Win rate
1.16Avg K/D
67.2ADR
33%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%1.0213.1
Dust2743%0.8012.9
Anubis580%1.0517.8
Inferno450%1.1011.3
Vertigo30%0.7013.3
Cache3100%1.4814.3
Ancient250%0.8212.0

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.

15.1%Headshot accuracy
38.1%Accuracy (enemy spotted)
43.1%Spray accuracy
86.5%Counter-strafing
10.3°Preaim
555msReaction time
37.6%T opening success
30.3%CT opening success
0.33Enemies flashed / flash
5.5%Flash assists
7.02HE damage / grenade
5.04Flashes / 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 0.3285 — 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 37.5546% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0317%8 Nov →
overpass8–80.0322%6 Nov →
inferno7–9-0.0710%6 Nov →
anubis9–13-0.0510%3 Nov →
mirage3–13-0.046%3 Nov →
cache2–13-0.0920%2 Nov →
cache13–00.1316%2 Nov →
mirage16–130.039%1 Nov →
ancient13–5-0.0410%27 Oct →
mirage13–11-0.0610%27 Oct →
anubis16–12-0.0222%26 Oct →
cache13–11-0.039%26 Oct →
dust210–13-0.0313%26 Oct →
cache13–40.0713%26 Oct →
cache13–50.007%26 Oct →
anubis16–140.0319%20 Oct →
mirage13–50.018%20 Oct →
anubis13–80.0531%20 Oct →
anubis13–10.0013%19 Oct →
inferno11–13-0.0712%19 Oct →
inferno9–130.0719%19 Oct →
nuke5–130.0521%15 Oct →
inferno13–7-0.0021%14 Oct →
inferno5–13-0.0923%14 Oct →
inferno8–8-0.0822%14 Oct →
nuke10–130.0620%12 Oct →
dust22–13-0.039%12 Oct →
cache13–50.0110%12 Oct →
inferno10–13-0.005%12 Oct →
cache4–13-0.0713%12 Oct →
mirage13–10-0.0714%12 Oct →
dust213–5-0.0325%12 Oct →
anubis10–13-0.0223%10 Oct →
inferno5–9-0.0919%10 Oct →
inferno9–7-0.0314%10 Oct →
inferno9–4-0.0715%10 Oct →
eldorado8–8-0.036%9 Oct →
inferno2–9-0.1112%9 Oct →
vertigo3–9-0.1420%9 Oct →
inferno14–160.0512%8 Oct →
cache13–20.0524%8 Oct →
anubis13–60.1118%8 Oct →
anubis13–70.008%8 Oct →
cache13–9-0.0411%8 Oct →
mirage13–40.057%8 Oct →
mirage6–130.012%7 Oct →
nuke13–110.0414%7 Oct →
cache13–50.0525%7 Oct →
anubis13–160.034%6 Oct →
mirage9–130.0215%6 Oct →
nuke3–13-0.0618%6 Oct →
eldorado8–80.0610%6 Oct →
debris5–9-0.1213%6 Oct →
dust211–13-0.0413%5 Oct →
ancient13–110.0011%5 Oct →
overpass9–70.036%5 Oct →
mirage13–110.0318%3 Sept →
mirage13–5-0.010%3 Sept →
mirage2–13-0.0719%3 Sept →
ancient13–7-0.0117%3 Sept →
anubis13–30.0418%3 Sept →
inferno13–4-0.0825%3 Sept →
inferno10–13-0.0213%2 Sept →
anubis11–130.0316%2 Sept →
mirage13–60.015%2 Sept →
ancient4–13-0.0119%1 Sept →
mirage5–13-0.0224%1 Sept →
anubis2–13-0.0613%1 Sept →
mirage8–13-0.019%1 Sept →
anubis13–60.0410%23 Jul →
cache13–100.0526%23 Jul →
anubis6–13-0.034%22 Jul →
mirage2–13-0.0227%22 Jul →
inferno13–11-0.025%22 Jul →
anubis13–100.086%22 Jul →
inferno7–13-0.0510%22 Jul →
mirage10–13-0.0011%22 Jul →
inferno13–110.0011%22 Jul →
ancient12–16-0.0411%22 Jul →
inferno2–13-0.036%22 Jul →
mirage14–16-0.0710%20 Jul →
cache13–9-0.0318%20 Jul →
anubis13–10-0.099%20 Jul →
cache12–16-0.0414%20 Jul →
cache10–13-0.0310%20 Jul →
dust20–13-0.060%20 Jul →
mirage13–2-0.0417%20 Jul →
dust210–13-0.0213%19 Jul →
ancient13–80.019%17 Jul →
dust216–140.007%17 Jul →
mirage12–160.0413%17 Jul →
mirage13–60.1725%16 Jul →
mirage13–11-0.059%16 Jul →
anubis15–15-0.007%16 Jul →
mirage13–40.0518%16 Jul →
mirage7–13-0.0010%7 Jun →
overpass6–13-0.0313%1 Jun →
mirage13–40.065%25 May →
anubis5–13-0.017%25 May →
nuke13–100.0913%25 May →

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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