ZANNSHiNEツ

ZANNSHiNEツ — CS2 Stats

DE76561197977193885[U:1:16928157]Steam profile ↗✓ No bans

391Tracked matches41%Win rate2020Tracked since
3,254Hours in CS20Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 391
−1.5ppWin rate · 42.9% → 41.4%

Rating over time

52Days played since 2022-05-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches44——
Win rate59%——
K/D2.44——
Headshot %60%——

Measured 6 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,636), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate43.9%43.8%44.8%meets
Shot accuracy18.4%12.0%12.4%above
Kill/death ratio1.351.021.03above
Match win rate51.5%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGZANNSHiNEツFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim77
Positioning41
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWWLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +0.6pp headshot accuracy · +29ms 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 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 576ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

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 (+3.1 against its own average).

Aim7.7
Utility6.7
Positioning4.1
Opening Duels1.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 36 points — deaths here waste a strong aim profile.

Reaction time. 576ms 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

Aim7.7
Positioning4.1
Utility6.7
Mechanics6.6
Opening Duels1.0
Win Impact2.1

Composite 5.4/10 (Developing), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time584ms−15ms
first ⅓ avg 598ms → last ⅓ avg 584ms
Headshot accuracy19.1%+5.5%
first ⅓ avg 13.6% → last ⅓ avg 19.1%

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

0.14Best match rating · 16–0 · cache, 29 Sept →
40%Best headshot accuracy · 5–13 · dust2, 9 Jul →
438msFastest reaction time · 6–13 · cache, 16 Aug →
16–0Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–11In matches decided by ≤2 rounds
38Overtime games

Map breakdown

overpassBest map · 78% over 9nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC239–1439%0.01
infernoC197–1237%0.01
dust2D124–833%-0.03
mirageC104–640%0.01
overpassS97–278%0.01
nukeD71–614%-0.04
vertigoC73–443%-0.02
train—21–150%-0.02
shelter—20–20%0.01
anubis—21–150%-0.04
tuscan—22–0100%0.04
office—11–0100%0.08
poseidon—11–0100%0.10
debris—11–0100%-0.10
boulder—11–0100%-0.04
ancient—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,586Lifetime kills
1.35K/D · Top 10% of Level 5 players
4,610Matches
51.5%Match win rate · Top 10% of Level 5 players
43.9%Headshot % · Top 50% of Level 5 players
18.4%Shot accuracy · Top 10% of Level 5 players
12,623MVPs
2,634Hours (in match)
4,563Bombs planted
1,248Bombs defused

Most-used weapons

AK-4739,128
AWP22,318
P2502,098
MP91,455
FAMAS1,363
SG 5531,209

Lifetime map wins

9,786inferno
3,083cbble
2,527dust2
1,486train
727vertigo
717nuke
73office
45lake

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

Faceit stats

Combat

330Matches
52%Win rate
1.08Avg K/D
86.0ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.0718.0
Anubis2100%2.5617.0
Dust2250%1.9517.5
Cache1100%2.5020.0

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.

18.4%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.1%Spray accuracy
79.9%Counter-strafing
9.3°Preaim
576msReaction time
31.6%T opening success
36.4%CT opening success
0.57Enemies flashed / flash
7.9%Flash assists
12.20HE damage / grenade
13.99Flashes / 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 31.6321% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0516%26 Sept →
office13–90.0824%26 Sept →
cache13–90.1221%26 Sept →
cache10–130.0222%26 Sept →
mirage12–20.0514%17 Sept →
cache9–13-0.0424%16 Sept →
overpass8–00.0817%16 Sept →
cache10–130.0723%7 Sept →
cache13–60.088%7 Sept →
cache11–13-0.0212%5 Sept →
train3–13-0.0619%5 Sept →
inferno9–130.0220%5 Sept →
nuke9–60.0025%5 Sept →
mirage13–10-0.043%16 Aug →
cache6–13-0.0715%16 Aug →
cache13–100.0515%12 Aug →
overpass13–110.0213%12 Aug →
cache11–13-0.0328%6 Aug →
dust29–13-0.0427%3 Aug →
cache14–160.0213%3 Aug →
dust213–5-0.0318%3 Aug →
cache11–13-0.0215%1 Aug →
cache9–13-0.0119%1 Aug →
cache13–8-0.0115%1 Aug →
cache2–13-0.0633%25 Jul →
cache0–7-0.0325%25 Jul →
cache13–9-0.0415%25 Jul →
mirage16–140.0420%24 Jul →
poseidon9–10.1032%23 Jul →
debris9–4-0.1027%23 Jul →
nuke8–8-0.1112%23 Jul →
dust27–13-0.0515%19 Jul →
shelter12–120.0226%19 Jul →
inferno7–13-0.0526%19 Jul →
shelter12–12-0.008%9 Jul →
boulder13–11-0.0412%9 Jul →
cache13–70.0425%9 Jul →
dust25–13-0.0640%9 Jul →
dust29–13-0.0414%2 Jul →
cache13–11-0.057%2 Jul →
overpass13–30.0227%24 Jun →
inferno1–13-0.016%24 Jun →
nuke2–13-0.0614%24 Jun →
dust216–140.0019%24 Jun →
dust212–120.0626%8 Oct →
anubis13–1-0.0621%20 Aug →
mirage11–130.0518%20 Aug →
nuke12–12-0.0219%20 Aug →
inferno12–120.0139%22 Jul →
anubis14–16-0.0218%19 Sept →
mirage6–13-0.076%19 Sept →
vertigo13–50.0812%15 Sept →
overpass11–13-0.0219%15 Sept →
inferno13–110.0414%2 Sept →
cache6–16-0.0411%28 Aug →
inferno14–16-0.0015%19 Aug →
mirage16–40.0719%19 Aug →
cache11–160.0813%15 Aug →
overpass16–80.0619%16 Jul →
dust23–9-0.076%14 May →
mirage2–16-0.0611%24 Jan →
inferno5–9-0.0112%8 Jan →
mirage10–160.0623%24 Dec →
inferno5–9-0.0622%24 Dec →
dust28–16-0.0614%23 Dec →
train9–00.0118%30 Oct →
inferno9–00.1019%30 Oct →
vertigo8–8-0.1025%30 Oct →
tuscan9–30.0721%30 Oct →
nuke7–90.0015%30 Oct →
nuke5–9-0.038%30 Oct →
inferno15–15-0.0116%26 Oct →
vertigo16–130.026%1 Oct →
inferno16–80.0717%29 Sept →
cache13–160.0110%29 Sept →
cache16–00.1424%29 Sept →
inferno11–160.0627%20 Sept →
cache7–20.027%20 Sept →
inferno19–170.0125%18 Sept →
mirage7–16-0.0410%18 Sept →
inferno16–140.0214%2 Sept →
overpass16–100.052%21 Aug →
tuscan9–40.0212%21 Aug →
inferno9–30.0417%21 Aug →
nuke4–16-0.0410%20 Aug →
vertigo10–16-0.0312%7 Aug →
inferno16–140.0118%7 Aug →
mirage13–160.0317%31 Jul →
overpass14–160.0018%26 Jul →
dust216–9-0.057%25 Jul →
inferno13–16-0.0310%20 Jul →
vertigo8–16-0.0317%20 Jul →
ancient16–9-0.028%9 Jul →
vertigo16–13-0.0214%8 Jul →
vertigo13–16-0.0616%28 May →
inferno11–16-0.0117%28 May →
dust216–12-0.0213%28 May →
overpass16–10-0.076%24 May →
inferno4–16-0.093%16 May →
overpass16–9-0.058%9 May →

Match data via Leetify.

Recent teammates

Milestones

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

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