Anshi

Anshi — CS2 Stats

SK76561199543294178[U:1:1583028450]Steam profile ↗✓ No bans

651Tracked matches38%Win rate2023Tracked since
429Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating13,451Blue band · top ~36.6% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (20 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: 13,451 +713 16 Sept – 25 Oct · 12 days played
11,98213,770peak 13,77016 Sept25 Oct
13,770Peak Premier in tracked matches
820Highest Faceit ELO seen on CSDB
23Days played since 2025-02-18

Premier CS Rating

  • 319 below peak (13,770)
  • -319 over 30 days · steady
  • Next: Purple band at 15,000 — 1,549 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate59.1%42.0%44.4%above
Shot accuracy0.3%9.6%11.9%11.5% short
Kill/death ratio1.160.981.03above
Match win rate47.1%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGAnshiPREMIER13,451 · Blue bandPEAK ELO820csdb.gg/stats

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Performance scores

Aim51
Positioning61
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWWLLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +7.9pp headshot accuracy · −24ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 34%
  • Avg reaction 677ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 37%
  • Avg reaction 658ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 33%
  • Avg reaction 670ms

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 (+3.1 against its own average).

Aim5.1
Utility1.3
Positioning6.1
Opening Duels4.5
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 655ms 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

Aim5.1
Positioning6.1
Utility1.3
Mechanics5.2
Opening Duels5.3
Win Impact1.0

Composite 4.1/10 (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 rating0.01−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time649ms+40ms
first ⅓ avg 608ms → last ⅓ avg 649ms
Headshot accuracy30.0%−0.5%
first ⅓ avg 30.5% → last ⅓ avg 30.0%

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

0.40Best match rating · 4–0 · rush_001, 30 Sept →
64%Best headshot accuracy · 9–13 · nuke, 29 Sept →
406msFastest reaction time · 3–13 · nuke, 12 Oct →
13–1Biggest win · cache, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 50% over 6nukeWeakest map · 48% over 71
MapGradePlayedRecordWin rateAvg rating
nukeB7134–3748%0.01
cacheB63–350%0.04
dust2B63–350%0.02
vertigo—42–250%0.08
inferno—32–167%0.08
mirage—30–30%-0.00
ancient—30–30%0.05
anubis—21–150%-0.00
overpass—10–10%-0.11
rush_001—11–0100%0.40

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (48% over 71). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,405Lifetime kills
1.16K/D · Top 25% of Blue band
1,244Matches
47.1%Match win rate · Top 25% of Blue band
59.1%Headshot % · Top 5% of Blue band
0.3%Shot accuracy
3,512MVPs
429Hours (in match)
689Bombs planted
301Bombs defused

Most-used weapons

Lifetime map wins

5,365nuke
1,213dust2
828inferno
525vertigo
183office
91train
43italy
18ar_shoots

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

Faceit stats

Combat

5Matches
0%Win rate
1.20Avg K/D
101.4ADR
53%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

29.9%Headshot accuracy
27.5%Accuracy (enemy spotted)
29.1%Spray accuracy
73.3%Counter-strafing
11.7°Preaim
655msReaction time
49.4%T opening success
52.8%CT opening success
0.12Enemies flashed / flash
2.1%Flash assists
10.96HE damage / grenade
1.56Flashes / 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. 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 0.1188 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

48% win rate across 71 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0535%26 Oct →
nuke13–60.1350%26 Oct →
cache13–30.1326%25 Oct →
nuke10–130.0331%25 Oct →
nuke3–13-0.1028%25 Oct →
nuke13–60.0126%25 Oct →
nuke7–30.0054%24 Oct →
nuke13–60.0220%24 Oct →
nuke2–100.0250%24 Oct →
nuke7–13-0.0647%24 Oct →
nuke13–80.0331%22 Oct →
nuke13–70.0715%22 Oct →
nuke11–13-0.0235%22 Oct →
nuke2–80.1442%21 Oct →
inferno7–00.1220%21 Oct →
dust216–120.0518%20 Oct →
nuke13–100.0627%20 Oct →
nuke6–130.0154%20 Oct →
inferno9–60.0830%19 Oct →
nuke2–10-0.0514%19 Oct →
nuke5–10-0.0617%19 Oct →
mirage6–130.0116%18 Oct →
nuke4–13-0.1350%18 Oct →
nuke7–13-0.096%17 Oct →
nuke13–60.0951%17 Oct →
nuke11–13-0.0633%17 Oct →
nuke2–13-0.068%17 Oct →
nuke12–12-0.0126%17 Oct →
nuke1–13-0.0623%17 Oct →
nuke11–130.0424%17 Oct →
nuke2–13-0.0031%17 Oct →
nuke12–12-0.0035%15 Oct →
nuke1–13-0.0517%15 Oct →
nuke9–13-0.0250%15 Oct →
nuke13–9-0.1055%15 Oct →
nuke13–90.0627%15 Oct →
nuke13–70.0624%14 Oct →
nuke13–9-0.0836%14 Oct →
nuke13–10-0.0133%14 Oct →
nuke13–60.1132%14 Oct →
nuke12–120.0021%14 Oct →
nuke13–3-0.0121%14 Oct →
nuke8–40.1061%12 Oct →
nuke3–13-0.0525%12 Oct →
cache8–13-0.0426%12 Oct →
nuke13–110.0230%12 Oct →
dust211–13-0.0517%10 Oct →
nuke13–110.0424%10 Oct →
dust213–110.012%10 Oct →
ancient9–13-0.0225%10 Oct →
anubis6–13-0.0216%10 Oct →
dust213–9-0.0022%10 Oct →
nuke13–10-0.0424%10 Oct →
nuke10–130.0333%10 Oct →
nuke13–90.0226%10 Oct →
nuke8–13-0.0457%10 Oct →
nuke13–100.0125%9 Oct →
nuke7–13-0.0541%8 Oct →
nuke6–13-0.0847%7 Oct →
vertigo10–130.0032%7 Oct →
nuke8–13-0.0228%7 Oct →
nuke9–130.0341%7 Oct →
mirage12–120.0627%5 Oct →
dust26–130.0320%5 Oct →
nuke13–5-0.0123%5 Oct →
cache13–10.0924%5 Oct →
nuke13–40.0446%4 Oct →
nuke0–13-0.0760%4 Oct →
overpass2–13-0.1117%4 Oct →
nuke6–13-0.0647%4 Oct →
nuke13–80.0248%4 Oct →
nuke7–130.1145%2 Oct →
anubis13–100.0222%2 Oct →
nuke9–13-0.0417%1 Oct →
rush_0014–00.4019%30 Sept →
nuke10–10.1920%30 Sept →
ancient9–130.1223%30 Sept →
nuke13–60.1333%30 Sept →
cache13–10-0.0229%30 Sept →
nuke9–13-0.0548%30 Sept →
nuke13–10.1832%30 Sept →
nuke13–4-0.0621%30 Sept →
mirage4–13-0.0821%30 Sept →
nuke13–10.1133%30 Sept →
nuke8–13-0.0552%30 Sept →
nuke1–13-0.1726%30 Sept →
cache6–130.0120%30 Sept →
nuke13–90.0333%30 Sept →
nuke13–90.0531%29 Sept →
nuke13–90.1740%29 Sept →
inferno7–130.0316%29 Sept →
cache6–130.0520%29 Sept →
nuke13–20.0228%29 Sept →
dust210–130.1020%29 Sept →
nuke13–1-0.0038%29 Sept →
vertigo13–110.1318%29 Sept →
vertigo3–130.0124%29 Sept →
vertigo13–70.1733%29 Sept →
nuke9–130.0464%29 Sept →
ancient8–130.0510%27 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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