ZanyDruid

ZanyDruid — CS2 Stats

76561198420265156[U:1:459999428]Steam profile ↗✓ No bans

1,006Tracked matches22%Win rate2022Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 5 · 963 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,999 → 14,999
0Faceit ELO · 963 → 963
+4Tracked matches · now 1,006
+0.8ppWin rate · 21.4% → 22.2%

Rating over time

Premier CS Rating: 14,999 +571 19 Jul – 14 Sept · 21 days played
14,24216,626peak 16,62619 Jul14 Sept
16,626Peak Premier in tracked matches
963Highest Faceit ELO seen on CSDB
34Days played since 2026-07-08

Faceit ELO

  • At peak — 963
  • Next: Level 5 at 1,051 — 88 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-14
  • Level 3 first seen 2026-09-14

Premier CS Rating

  • 1,627 below peak (16,626)
  • -1,203 over 30 days · declining
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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.

Share this profile

CSDB.GGZanyDruidFACEITLevel 5 · 963 ELOSTANDINGTop 67.6% of rankedPREMIER14,999 · Blue bandPEAK ELO963csdb.gg/stats

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Performance scores

Aim49
Positioning36
Utility57

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLTWLLLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · +36ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 704ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 686ms

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 (+2.9 against its own average).

Aim4.9
Utility5.7
Positioning3.6
Opening Duels0.0
Clutch2.0

Strong CT-side openerEffective 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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 41% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 681ms 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

Aim4.9
Positioning3.6
Utility5.7
Mechanics6.8
Opening Duels1.4
Win Impact0.0

Composite 4.0/10 (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 time685ms−75ms
first ⅓ avg 760ms → last ⅓ avg 685ms
Headshot accuracy14.3%+1.4%
first ⅓ avg 12.9% → last ⅓ avg 14.3%

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

0.10Best match rating · 13–6 · ancient, 9 Aug →
35%Best headshot accuracy · 7–13 · ancient, 21 Aug →
500msFastest reaction time · 13–9 · anubis, 17 Jul →
13–2Biggest win · inferno, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 50% over 14cacheWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
ancientB2713–1448%-0.03
infernoD196–1332%-0.03
cacheD154–1127%-0.05
nukeB147–750%-0.03
anubisC114–736%-0.02
dust2B63–350%-0.04
mirage—42–250%-0.03
train—31–233%-0.05
vertigo—11–0100%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

86Matches
52%Win rate
0.91Avg K/D
69.3ADR
39%Headshot %

Clutches & streaks

30%1v1 clutch win
30%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1759%0.8611.7
Ancient1377%1.1314.8
Inferno1050%1.0414.7
Dust2956%1.2313.9
Anubis580%0.8312.6
Overpass450%0.8612.5
Nuke450%0.7312.3
Cache30%0.518.0

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.

14.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.4%Spray accuracy
80.6%Counter-strafing
10.7°Preaim
681msReaction time
13.9%T opening success
41.5%CT opening success
0.73Enemies flashed / flash
11.1%Flash assists
8.23HE damage / grenade
6.28Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7922% — below the 15% mark we flag

    Aim Training →
  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 13.8889% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0321%1 Oct →
ancient12–12-0.0418%25 Sept →
anubis13–70.0412%11 Sept →
ancient1–13-0.096%11 Sept →
cache5–13-0.0720%11 Sept →
ancient8–13-0.0114%11 Sept →
cache4–13-0.0932%31 Aug →
ancient2–13-0.076%31 Aug →
dust23–13-0.0323%29 Aug →
cache6–13-0.026%29 Aug →
inferno6–13-0.0116%29 Aug →
inferno5–13-0.0514%27 Aug →
ancient9–13-0.0319%27 Aug →
nuke6–13-0.0822%27 Aug →
inferno9–30.0111%27 Aug →
ancient13–10-0.048%27 Aug →
anubis12–12-0.085%25 Aug →
anubis11–13-0.096%24 Aug →
cache13–10-0.0413%24 Aug →
inferno15–15-0.0424%24 Aug →
inferno8–130.0313%21 Aug →
nuke13–70.0317%21 Aug →
ancient7–13-0.0735%21 Aug →
train13–8-0.0115%17 Aug →
train7–13-0.119%17 Aug →
train3–13-0.0313%17 Aug →
inferno1–13-0.1011%16 Aug →
anubis7–130.0112%16 Aug →
ancient3–130.018%16 Aug →
nuke8–13-0.0410%16 Aug →
inferno8–13-0.066%14 Aug →
ancient8–13-0.0118%14 Aug →
nuke4–13-0.0911%14 Aug →
ancient13–110.0221%13 Aug →
inferno13–70.0312%13 Aug →
nuke13–7-0.0426%13 Aug →
inferno13–50.0119%13 Aug →
dust25–13-0.1212%12 Aug →
cache8–13-0.0111%11 Aug →
mirage13–8-0.0312%11 Aug →
nuke13–8-0.0719%11 Aug →
ancient13–10-0.0321%11 Aug →
ancient16–13-0.0513%10 Aug →
inferno8–13-0.0020%10 Aug →
cache4–13-0.0520%10 Aug →
ancient13–7-0.0310%10 Aug →
ancient13–60.1023%9 Aug →
anubis6–13-0.0114%9 Aug →
cache5–13-0.0426%9 Aug →
vertigo13–11-0.0626%8 Aug →
anubis7–13-0.0019%28 Jul →
dust213–7-0.0122%28 Jul →
cache13–5-0.0925%28 Jul →
inferno5–13-0.0929%28 Jul →
cache13–9-0.0917%27 Jul →
ancient16–14-0.0613%27 Jul →
anubis13–100.0318%27 Jul →
nuke5–13-0.0919%26 Jul →
inferno16–12-0.0518%26 Jul →
nuke11–13-0.047%26 Jul →
nuke13–11-0.0114%25 Jul →
ancient13–80.0126%25 Jul →
inferno4–13-0.0521%25 Jul →
cache0–13-0.080%25 Jul →
inferno7–13-0.0411%25 Jul →
inferno7–13-0.0518%24 Jul →
ancient5–13-0.0531%24 Jul →
mirage5–13-0.0810%24 Jul →
cache3–13-0.060%24 Jul →
dust213–4-0.010%24 Jul →
mirage10–13-0.0513%24 Jul →
ancient16–12-0.025%20 Jul →
inferno6–13-0.060%20 Jul →
ancient13–11-0.0613%20 Jul →
dust213–10-0.0131%19 Jul →
nuke4–1-0.0119%19 Jul →
inferno13–9-0.0513%19 Jul →
anubis13–11-0.0521%19 Jul →
anubis8–13-0.047%18 Jul →
nuke9–13-0.0312%18 Jul →
cache11–13-0.0630%18 Jul →
ancient13–10-0.0613%18 Jul →
dust25–13-0.0423%17 Jul →
anubis13–9-0.027%17 Jul →
ancient15–150.036%17 Jul →
cache5–130.015%17 Jul →
ancient13–70.008%16 Jul →
anubis15–150.0112%16 Jul →
ancient16–13-0.059%16 Jul →
cache11–13-0.0519%15 Jul →
ancient10–13-0.0513%15 Jul →
ancient14–16-0.0612%15 Jul →
ancient2–13-0.0621%14 Jul →
mirage13–50.0614%13 Jul →
ancient4–13-0.0312%13 Jul →
nuke4–13-0.0611%10 Jul →
nuke16–14-0.0217%9 Jul →
cache13–7-0.0423%9 Jul →
inferno13–20.0118%9 Jul →
nuke13–60.089%8 Jul →

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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