Ashigaru

Ashigaru — CS2 Stats

AU76561197970651880[U:1:10386152]Steam profile ↗✓ No bans

1,482Tracked matches50%Win rate2022Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating14,944Blue band · top ~28.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 14,944 +1,346 15 Jun – 10 Oct · 30 days played
11,57415,114peak 15,11415 Jun10 Oct
15,114Peak Premier in tracked matches
37Days played since 2026-06-15

Premier CS Rating

  • 170 below peak (15,114)
  • +1,326 over 30 days · improving
  • +1,667 over 90 days
  • Next: Purple band at 15,000 — 56 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGAshigaruPREMIER14,944 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning46
Utility65

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateTLWLWLLWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −2.5pp headshot accuracy · −26ms reaction

Win rate down 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 687ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 635ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 648ms

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 against its own average).

Aim5.2
Utility6.5
Positioning4.6
Opening Duels2.4

Effective flashes

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 650ms 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

Aim5.2
Positioning4.6
Utility6.5
Mechanics6.9
Opening Duels3.5
Win Impact5.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time659ms−33ms
first ⅓ avg 692ms → last ⅓ avg 659ms
Headshot accuracy18.9%−2.8%
first ⅓ avg 21.7% → last ⅓ avg 18.9%

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

0.06Best match rating · 13–2 · inferno, 16 Aug →
43%Best headshot accuracy · 13–2 · inferno, 30 Jun →
422msFastest reaction time · 9–13 · nuke, 16 Aug →
13–0Biggest win · dust2, 5 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 69% over 16mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D3210–2231%-0.03
infernoB1910–953%-0.03
nukeA1810–856%-0.04
cacheS1611–569%-0.02
mirageD82–625%-0.04
ancientC52–340%-0.05
overpass—21–150%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
17%Win rate
0.47Avg K/D
—ADR
50%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

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.

18.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
27.7%Spray accuracy
81.1%Counter-strafing
9.4°Preaim
650msReaction time
42.1%T opening success
46.0%CT opening success
0.72Enemies flashed / flash
7.5%Flash assists
10.48HE damage / grenade
9.35Flashes / match

Recommended for you

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0013%10 Oct →
dust27–13-0.0118%10 Oct →
cache13–8-0.0217%10 Oct →
inferno1–13-0.0418%9 Oct →
nuke13–9-0.0423%9 Oct →
inferno10–13-0.0336%9 Oct →
cache10–13-0.0311%9 Oct →
inferno13–9-0.0612%9 Oct →
dust28–13-0.0113%9 Oct →
mirage4–13-0.1115%9 Oct →
cache13–6-0.0315%9 Oct →
dust29–13-0.0814%7 Oct →
dust29–13-0.0322%5 Oct →
mirage7–130.0020%5 Oct →
inferno13–7-0.015%1 Oct →
cache13–8-0.0428%1 Oct →
ancient13–8-0.0423%30 Sept →
dust211–13-0.0622%28 Sept →
nuke13–8-0.0332%28 Sept →
inferno13–10-0.1319%27 Sept →
ancient13–5-0.0414%27 Sept →
dust213–70.0617%19 Sept →
inferno15–15-0.0513%19 Sept →
cache3–13-0.0733%19 Sept →
cache13–11-0.0431%19 Sept →
dust211–13-0.0610%19 Sept →
mirage13–4-0.0111%19 Sept →
nuke10–13-0.0919%16 Sept →
dust213–10-0.0015%14 Sept →
dust29–13-0.0715%14 Sept →
dust28–13-0.0524%14 Sept →
dust213–30.0525%14 Sept →
inferno11–13-0.0220%11 Sept →
dust211–13-0.0239%11 Sept →
nuke13–11-0.048%11 Sept →
nuke13–10-0.0017%9 Sept →
dust23–13-0.0716%9 Sept →
inferno4–13-0.0527%9 Sept →
nuke13–8-0.0422%6 Sept →
cache13–2-0.0315%6 Sept →
inferno13–5-0.0332%6 Sept →
dust213–30.0013%6 Sept →
nuke13–9-0.0916%6 Sept →
ancient7–13-0.0518%5 Sept →
inferno10–13-0.0119%5 Sept →
dust29–13-0.0626%2 Sept →
mirage10–13-0.0524%2 Sept →
nuke3–13-0.120%2 Sept →
inferno13–5-0.0120%1 Sept →
nuke8–13-0.0623%30 Aug →
dust215–15-0.0715%30 Aug →
cache13–9-0.0227%30 Aug →
dust211–13-0.1016%19 Aug →
inferno16–12-0.0217%18 Aug →
dust213–60.0123%18 Aug →
dust26–130.0223%18 Aug →
mirage15–15-0.0028%17 Aug →
nuke8–130.0026%17 Aug →
mirage14–16-0.0329%16 Aug →
nuke9–13-0.0927%16 Aug →
inferno13–20.0625%16 Aug →
dust213–16-0.0726%16 Aug →
cache13–11-0.0526%16 Aug →
dust213–00.0326%5 Aug →
dust213–8-0.0723%5 Aug →
nuke13–11-0.0214%5 Aug →
nuke11–13-0.0427%2 Aug →
cache16–14-0.0224%2 Aug →
dust213–90.0022%2 Aug →
nuke13–90.0130%1 Aug →
dust27–13-0.0317%30 Jul →
nuke8–13-0.049%30 Jul →
cache13–20.0330%30 Jul →
cache9–13-0.0413%29 Jul →
dust213–16-0.0027%29 Jul →
cache13–5-0.0036%29 Jul →
inferno13–8-0.0021%28 Jul →
cache7–13-0.0136%28 Jul →
ancient11–13-0.0919%26 Jul →
cache14–16-0.0531%26 Jul →
inferno13–5-0.0218%26 Jul →
dust213–9-0.0329%14 Jul →
nuke6–13-0.0513%14 Jul →
dust25–13-0.1028%2 Jul →
overpass13–10-0.0212%2 Jul →
nuke13–100.0322%2 Jul →
cache13–70.0222%2 Jul →
inferno13–2-0.0243%30 Jun →
mirage15–15-0.079%30 Jun →
inferno11–13-0.0516%30 Jun →
dust213–80.0530%30 Jun →
inferno11–13-0.0221%29 Jun →
ancient9–13-0.0524%28 Jun →
mirage16–14-0.0126%28 Jun →
dust22–13-0.0411%24 Jun →
overpass7–130.000%24 Jun →
inferno11–13-0.0514%18 Jun →
nuke13–11-0.0530%18 Jun →
dust23–13-0.0916%15 Jun →
dust25–13-0.0816%15 Jun →

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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