Anubis

Anubis — CS2 Stats

US76561198963451108[U:1:1003185380]Steam profile ↗✓ No bans

1,609Tracked matches48%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating20,701Top 50% of 204,056 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#70739 of 251125 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,701 → 20,701
0Faceit ELO · 1,320 → 1,320
+8Tracked matches · now 1,609
+3.7ppWin rate · 44.4% → 48.1%

Rating over time

Premier CS Rating: 20,701 +810 25 May – 25 Sept · 17 days played
18,88020,701peak 20,70125 May25 Sept
Faceit ELO: 1,320 +0 29 Aug – 25 Sept · 4 observations
1,3201,320peak 1,32029 Aug25 Sept
20,701Peak Premier in tracked matches
1,320Highest Faceit ELO seen on CSDB
33Days played since 2026-05-25

Faceit ELO

  • At peak — 1,320
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 31 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-29
  • Level 5 first seen 2026-08-29

Premier CS Rating

  • At peak — 20,701
  • 0 over 30 days · steady
  • +1,204 over 90 days
  • Next: Red band at 25,000 — 4,299 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.GGAnubisPREMIER20,701 · Pink band30 DAYS0 ELOPEAK ELO1,320csdb.gg/stats

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Performance scores

Aim71
Positioning55
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateTLWWLLTWTW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −17ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 557ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

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 (+1.3 against its own average).

Aim7.1
Utility6.4
Positioning5.5
Opening Duels3.7
Clutch4.8

Effective 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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 575ms 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

Aim7.1
Positioning5.5
Utility6.4
Mechanics7.4
Opening Duels3.1
Win Impact4.4

Composite 6.2/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time573ms−76ms
first ⅓ avg 649ms → last ⅓ avg 573ms
Headshot accuracy17.4%+1.1%
first ⅓ avg 16.3% → last ⅓ avg 17.4%

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

0.17Best match rating · 7–13 · ancient, 2 Jun →
50%Best headshot accuracy · 13–1 · mirage, 23 Jul →
422msFastest reaction time · 7–13 · dust2, 8 Jul →
13–1Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 46% over 24infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%0.00
mirageB2411–1346%0.00
infernoC114–736%-0.01
anubisB115–645%0.00
ancientC104–640%0.02
nuke—32–167%0.06
overpass—32–167%0.00
cache—31–233%0.01
train—21–150%-0.02
vertigo—20–20%-0.02
office—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

547Matches
50%Win rate
1.03Avg K/D
77.3ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6551%1.0014.6
Anubis3336%1.0514.3
Ancient2962%0.8713.3
Dust21669%1.2115.1
Inferno1547%1.2114.7
Vertigo1155%1.0116.6
Overpass30%0.8916.7
Nuke10%0.609.0

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.

17.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.8%Spray accuracy
83.4%Counter-strafing
8.6°Preaim
575msReaction time
39.9%T opening success
44.6%CT opening success
0.80Enemies flashed / flash
6.0%Flash assists
6.17HE damage / grenade
9.27Flashes / 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 39.8917% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0114%6 Oct →
dust25–13-0.0115%6 Oct →
mirage13–10.0213%30 Sept →
dust213–110.0029%30 Sept →
inferno10–13-0.0412%30 Sept →
dust24–13-0.0221%25 Sept →
dust212–120.0919%25 Sept →
train13–110.0221%25 Sept →
mirage12–120.0428%8 Sept →
mirage13–5-0.0519%13 Aug →
dust213–11-0.0223%13 Aug →
mirage13–70.0524%13 Aug →
anubis3–13-0.0315%12 Aug →
inferno13–11-0.029%12 Aug →
ancient13–9-0.036%12 Aug →
mirage9–13-0.0419%12 Aug →
nuke9–30.1616%12 Aug →
mirage13–60.0714%27 Jul →
inferno10–130.0215%26 Jul →
dust211–130.0125%24 Jul →
anubis13–7-0.0114%24 Jul →
ancient13–100.0815%24 Jul →
dust213–60.1421%24 Jul →
mirage10–13-0.0110%23 Jul →
mirage13–10.0450%23 Jul →
dust211–13-0.0514%22 Jul →
mirage3–130.029%22 Jul →
inferno9–70.0220%15 Jul →
mirage9–130.0310%15 Jul →
mirage3–130.0422%8 Jul →
inferno8–80.039%8 Jul →
dust27–13-0.0211%8 Jul →
office1–130.0413%8 Jul →
vertigo5–90.0419%7 Jul →
dust212–120.0930%7 Jul →
anubis12–12-0.039%7 Jul →
nuke5–90.0414%7 Jul →
mirage13–10.0120%5 Jul →
dust213–3-0.0119%5 Jul →
ancient10–130.0417%5 Jul →
inferno11–130.0426%1 Jul →
ancient2–13-0.0421%1 Jul →
inferno9–13-0.0015%1 Jul →
dust213–60.0113%1 Jul →
anubis3–13-0.0221%30 Jun →
overpass13–90.0724%30 Jun →
dust213–8-0.0211%30 Jun →
mirage13–9-0.0614%30 Jun →
dust26–13-0.030%30 Jun →
dust213–60.0319%29 Jun →
anubis13–100.0725%29 Jun →
dust211–13-0.0419%25 Jun →
ancient3–13-0.097%25 Jun →
dust213–8-0.0418%25 Jun →
dust213–60.0918%25 Jun →
mirage2–130.0026%24 Jun →
dust211–130.0025%23 Jun →
mirage12–120.0124%23 Jun →
mirage13–110.0223%22 Jun →
cache10–130.0721%22 Jun →
inferno2–9-0.1222%22 Jun →
anubis13–6-0.007%21 Jun →
dust20–13-0.0533%21 Jun →
mirage9–130.0210%21 Jun →
mirage10–13-0.0541%20 Jun →
mirage13–11-0.0513%15 Jun →
mirage13–16-0.0323%14 Jun →
anubis5–13-0.057%14 Jun →
dust26–130.0614%14 Jun →
inferno9–60.0142%14 Jun →
dust211–130.0523%14 Jun →
mirage9–13-0.066%13 Jun →
dust213–9-0.030%13 Jun →
anubis13–80.0414%13 Jun →
ancient8–130.0110%13 Jun →
ancient13–70.025%12 Jun →
cache12–12-0.045%12 Jun →
anubis13–30.1218%12 Jun →
nuke13–8-0.0125%4 Jun →
inferno13–7-0.0610%4 Jun →
overpass12–16-0.0414%4 Jun →
dust27–13-0.058%4 Jun →
ancient13–3-0.0114%4 Jun →
anubis8–13-0.0517%2 Jun →
dust213–20.1041%2 Jun →
ancient7–130.1723%2 Jun →
dust25–13-0.0433%2 Jun →
overpass13–10-0.0213%2 Jun →
anubis9–13-0.0210%27 May →
dust29–13-0.1112%26 May →
mirage13–10-0.0229%25 May →
cache13–30.0025%25 May →
mirage10–130.0227%25 May →
mirage13–70.0411%25 May →
ancient9–130.029%25 May →
dust24–13-0.0317%25 May →
train6–13-0.0517%25 May →
inferno11–13-0.047%25 May →
vertigo2–13-0.0815%25 May →
dust213–10-0.0717%25 May →

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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