Anima

Anima — CS2 Stats

76561199476937516[U:1:1516671788]Steam profile ↗✓ No bans

679Tracked matches63%Win rate2026Tracked since
718Hours in CS53Hrs last 2 wks
CSDB Rating8.2 StrongPositional Player
Premier CS Rating20,549Top 50% of 205,709 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#73540 of 252858 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (4 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: 20,549 +3,250 24 Sept – 14 Oct · 8 days played
17,29920,549peak 20,54924 Sept14 Oct
20,549Peak Premier in tracked matches
23Days played since 2026-09-23

Premier CS Rating

  • At peak — 20,549
  • Next: Red band at 25,000 — 4,451 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,185), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.9%44.8%45.7%2.8% short
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio1.031.031.050.03 short
Match win rate45.3%45.2%45.7%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAnimaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,549 · Pink bandcsdb.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

Aim87
Positioning77
Utility57

0–100 skill scores via Leetify.

Recent form

HOT59–37–4Last 10059%Win rateWWWLWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +10.4pp headshot accuracy · −67ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 534ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 568ms

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 (+1.5 against its own average).

Aim8.7
Utility5.7
Positioning7.7
Opening Duels6.1
Clutch5.2

Sharp aimerStrong 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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms 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

Aim8.7
Positioning7.7
Utility5.7
Mechanics8.2
Opening Duels8.4
Win Impact9.4

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time583ms−14ms
first ⅓ avg 597ms → last ⅓ avg 583ms
Headshot accuracy22.3%−0.8%
first ⅓ avg 23.1% → last ⅓ avg 22.3%

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

0.28Best match rating · 9–1 · overpass, 6 Oct →
67%Best headshot accuracy · 13–1 · inferno, 14 Oct →
391msFastest reaction time · 13–1 · inferno, 14 Oct →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
2–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 75% over 12mirageWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%0.06
mirageC188–1044%-0.00
dust2A148–657%0.05
cacheA149–564%0.03
infernoS129–375%0.04
anubisS96–367%0.01
trainS64–267%0.06
ancient—32–167%0.02
vertigo—21–150%0.09
overpass—11–0100%0.28
office—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,396Lifetime kills
1.03K/D
1,231Matches
45.3%Match win rate · Top 50% of Level 6 players
42.9%Headshot %
0.0%Shot accuracy
3,779MVPs
392Hours (in match)
892Bombs planted
220Bombs defused

Most-used weapons

Lifetime map wins

1,842dust2
1,351nuke
1,235inferno
650train
241office
183vertigo

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

Faceit stats

Combat

52Matches
52%Win rate
1.29Avg K/D
89.3ADR
40%Headshot %

Clutches & streaks

46%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21450%1.2117.1
Mirage729%1.0716.3
Nuke771%1.5319.0
Anubis786%1.3718.9
Inferno650%1.3116.8
Cache560%1.8017.4
Ancient520%0.8915.2
Vertigo10%0.8917.0

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.

21.5%Headshot accuracy
39.8%Accuracy (enemy spotted)
41.5%Spray accuracy
86.9%Counter-strafing
9.0°Preaim
590msReaction time
59.3%T opening success
68.1%CT opening success
0.75Enemies flashed / flash
10.8%Flash assists
5.23HE damage / grenade
10.40Flashes / 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.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0712%18 Oct →
inferno13–9-0.0126%18 Oct →
dust213–90.0224%14 Oct →
nuke8–130.0024%14 Oct →
cache13–11-0.0422%14 Oct →
mirage13–70.0326%14 Oct →
nuke13–50.1712%14 Oct →
mirage8–13-0.0222%14 Oct →
inferno13–10.0367%14 Oct →
dust213–80.0447%13 Oct →
dust28–11-0.0518%13 Oct →
anubis4–13-0.0120%13 Oct →
mirage7–13-0.0017%12 Oct →
dust27–130.0728%12 Oct →
inferno5–13-0.0120%11 Oct →
cache16–120.0118%11 Oct →
cache9–13-0.059%11 Oct →
anubis13–10-0.0323%11 Oct →
cache13–100.0217%11 Oct →
mirage13–70.058%10 Oct →
train13–50.0128%10 Oct →
anubis13–60.1320%10 Oct →
cache13–50.1116%10 Oct →
anubis13–70.068%10 Oct →
nuke7–13-0.0225%10 Oct →
anubis9–130.0220%10 Oct →
inferno13–10.1115%10 Oct →
train13–100.0711%10 Oct →
mirage3–130.0430%10 Oct →
nuke13–70.0328%10 Oct →
nuke12–120.1221%10 Oct →
dust211–130.0622%9 Oct →
dust24–13-0.0233%9 Oct →
cache10–130.0629%8 Oct →
inferno8–13-0.0325%8 Oct →
nuke13–50.028%8 Oct →
train13–90.1336%7 Oct →
cache13–70.0729%7 Oct →
mirage13–8-0.0120%7 Oct →
inferno13–80.0137%7 Oct →
dust213–40.0733%7 Oct →
inferno13–10.1046%6 Oct →
nuke13–90.056%6 Oct →
inferno9–10.2218%6 Oct →
cache2–13-0.0517%6 Oct →
anubis13–50.0120%6 Oct →
dust213–80.0525%6 Oct →
ancient13–60.0325%6 Oct →
overpass9–10.2838%6 Oct →
ancient7–13-0.0016%6 Oct →
mirage11–13-0.0126%6 Oct →
anubis14–160.0123%6 Oct →
anubis13–1-0.019%6 Oct →
mirage3–130.0228%5 Oct →
cache13–50.0721%5 Oct →
anubis13–8-0.0714%5 Oct →
mirage13–5-0.0019%5 Oct →
mirage13–50.018%5 Oct →
dust213–110.0716%5 Oct →
mirage8–13-0.0418%5 Oct →
mirage1–13-0.1214%4 Oct →
inferno3–130.0516%4 Oct →
cache13–8-0.0222%3 Oct →
nuke13–50.0322%3 Oct →
mirage13–60.0313%3 Oct →
nuke9–130.1414%2 Oct →
nuke13–10-0.0235%2 Oct →
nuke13–60.0922%1 Oct →
inferno13–80.0530%1 Oct →
office3–130.0019%1 Oct →
nuke13–80.0814%1 Oct →
ancient13–20.0317%1 Oct →
cache12–120.0226%1 Oct →
nuke10–130.0513%1 Oct →
inferno13–5-0.0525%1 Oct →
vertigo13–60.0824%30 Sept →
nuke13–70.1321%30 Sept →
nuke12–120.1430%30 Sept →
nuke13–40.0532%29 Sept →
nuke10–13-0.0617%28 Sept →
dust213–90.0545%28 Sept →
nuke11–13-0.0221%28 Sept →
dust212–120.0717%28 Sept →
train9–130.0332%28 Sept →
cache13–50.1927%28 Sept →
cache10–130.0214%28 Sept →
dust213–60.1624%28 Sept →
cache13–70.0514%27 Sept →
train11–130.0530%26 Sept →
nuke9–130.0616%25 Sept →
nuke13–50.1126%25 Sept →
vertigo5–120.0915%25 Sept →
mirage6–13-0.0412%24 Sept →
inferno13–20.0844%24 Sept →
dust213–160.0417%24 Sept →
mirage13–60.0533%24 Sept →
mirage11–13-0.0114%23 Sept →
mirage11–13-0.0624%23 Sept →
dust213–90.1317%23 Sept →
train13–100.0627%23 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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