Animerad

Animerad — CS2 Stats

SE76561197975375644[U:1:15109916]Steam profile ↗✓ No bans

361Tracked matches40%Win rate2021Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating16,097Purple band · top ~24% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 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: 16,097 -362 23 Jul – 14 Oct · 34 days played
15,55318,181peak 18,18123 Jul14 Oct
18,368Peak Premier in tracked matches
40Days played since 2026-07-16

Premier CS Rating

  • 2,084 below peak (18,181)
  • -836 over 30 days · declining
  • -362 over 90 days
  • Next: Pink band at 20,000 — 3,903 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

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CSDB.GGAnimeradPREMIER16,097 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLWLWLLWWL

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −2.8pp headshot accuracy · +12ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 509ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

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 (+1.1 against its own average).

Aim8.4
Utility6.1
Positioning5.8
Opening Duels3.0

Strong T-side opener

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 98% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 34% on CT — first contacts on the defending side are being lost.

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

Aim8.4
Positioning5.8
Utility6.1
Mechanics6.5
Opening Duels4.7
Win Impact1.7

Composite 6.2/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time536ms+2ms
first ⅓ avg 534ms → last ⅓ avg 536ms
Headshot accuracy16.1%−0.1%
first ⅓ avg 16.1% → last ⅓ avg 16.1%

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 · 13–4 · inferno, 12 Sept →
33%Best headshot accuracy · 13–2 · nuke, 26 Jul →
383msFastest reaction time · 8–13 · dust2, 20 Aug →
13–0Biggest win · dust2, 9 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 69% over 16mirageWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
mirageD173–1418%0.01
infernoA1710–759%0.03
ancientD175–1229%0.01
dust2S1611–569%0.01
cacheD155–1033%0.01
nukeB126–650%0.02
anubisB63–350%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
38.2%Accuracy (enemy spotted)
44.3%Spray accuracy
79.3%Counter-strafing
8.3°Preaim
532msReaction time
63.5%T opening success
34.4%CT opening success
0.59Enemies flashed / flash
2.1%Flash assists
13.84HE damage / grenade
10.32Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.4129% — below the 40% mark we flag

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.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–130.039%14 Oct →
mirage10–130.0316%14 Oct →
cache13–70.049%14 Oct →
cache11–130.0314%12 Oct →
dust213–40.0111%12 Oct →
inferno6–130.0317%9 Oct →
mirage7–130.1014%8 Oct →
anubis13–80.0213%8 Oct →
nuke13–60.0815%8 Oct →
mirage9–13-0.0116%6 Oct →
dust213–30.0425%6 Oct →
nuke11–130.0219%2 Oct →
cache2–13-0.0910%2 Oct →
mirage6–13-0.0116%2 Oct →
nuke10–13-0.0416%23 Sept →
ancient8–130.0316%23 Sept →
cache6–13-0.0317%23 Sept →
anubis13–100.0015%23 Sept →
cache9–130.0316%20 Sept →
mirage8–13-0.0913%20 Sept →
nuke6–130.0520%18 Sept →
inferno13–90.0411%18 Sept →
mirage10–130.0311%18 Sept →
dust213–70.0217%17 Sept →
inferno11–13-0.0221%15 Sept →
cache16–120.0513%15 Sept →
inferno13–40.1425%12 Sept →
inferno13–80.0224%10 Sept →
anubis2–130.0015%10 Sept →
ancient14–160.0323%10 Sept →
nuke9–13-0.0117%10 Sept →
ancient13–100.0817%9 Sept →
cache13–10-0.0019%9 Sept →
dust213–00.0516%9 Sept →
nuke13–11-0.0221%6 Sept →
mirage10–130.0516%4 Sept →
inferno11–130.0019%4 Sept →
anubis13–100.0818%3 Sept →
ancient1–13-0.0819%30 Aug →
mirage9–130.049%30 Aug →
nuke4–130.0317%30 Aug →
anubis9–130.0819%27 Aug →
mirage8–130.0626%27 Aug →
inferno13–4-0.0113%26 Aug →
dust29–13-0.0316%26 Aug →
anubis9–13-0.0111%25 Aug →
nuke14–16-0.006%25 Aug →
inferno13–70.0617%24 Aug →
dust213–110.0317%24 Aug →
ancient13–70.0313%23 Aug →
dust22–13-0.0316%23 Aug →
mirage13–100.0713%23 Aug →
inferno13–90.0519%22 Aug →
mirage10–130.0111%22 Aug →
cache5–130.0413%22 Aug →
dust216–130.0432%22 Aug →
ancient13–50.0422%20 Aug →
dust28–13-0.0224%20 Aug →
inferno10–13-0.0118%20 Aug →
mirage13–6-0.065%18 Aug →
mirage15–150.0612%18 Aug →
dust26–13-0.0129%16 Aug →
inferno13–60.0515%16 Aug →
mirage9–13-0.0418%15 Aug →
ancient7–130.0112%15 Aug →
inferno13–11-0.006%15 Aug →
mirage14–160.009%9 Aug →
ancient10–13-0.0314%9 Aug →
ancient9–13-0.0017%7 Aug →
cache11–130.0017%7 Aug →
ancient13–60.0720%7 Aug →
dust213–100.0823%6 Aug →
mirage13–60.0817%31 Jul →
inferno15–150.0619%31 Jul →
cache15–150.0313%31 Jul →
dust23–13-0.0212%31 Jul →
ancient10–130.0211%31 Jul →
dust213–80.0413%29 Jul →
nuke13–40.0125%29 Jul →
inferno6–13-0.0217%29 Jul →
ancient10–130.0320%29 Jul →
mirage3–13-0.1012%26 Jul →
nuke13–2-0.0033%26 Jul →
ancient8–130.029%26 Jul →
cache13–90.0411%26 Jul →
dust213–80.0222%23 Jul →
cache13–90.0719%23 Jul →
nuke13–100.0711%23 Jul →
ancient16–140.0616%22 Jul →
inferno13–60.1021%20 Jul →
inferno9–130.0218%19 Jul →
cache7–13-0.0119%19 Jul →
ancient4–130.0012%19 Jul →
cache5–13-0.0416%19 Jul →
ancient12–16-0.0410%18 Jul →
nuke13–110.0211%18 Jul →
dust213–7-0.0017%18 Jul →
inferno13–90.0112%18 Jul →
cache15–15-0.0510%18 Jul →
ancient2–13-0.0217%16 Jul →

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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