anaB

anaB — CS2 Stats

76561199797308611[U:1:1837042883]Steam profile ↗✓ No bans

1,805Tracked matches50%Win rate2024Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating19,431Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#90375 of 251275 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 19,431 +3,002 28 Aug – 11 Oct · 13 days played
15,49719,721peak 19,72128 Aug11 Oct
19,777Peak Premier in tracked matches
26Days played since 2026-08-28

Premier CS Rating

  • 290 below peak (19,721)
  • +3,150 over 30 days · improving
  • Next: Pink band at 20,000 — 569 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGanaBFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,431 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning70
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLWWWLLWTLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · −11ms 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 538ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

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 (+1.7 against its own average).

Aim8.8
Utility6.3
Positioning7.0
Opening Duels5.3
Clutch2.6

Sharp aimerExcellent counter-strafing

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

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

Aim8.8
Positioning7.0
Utility6.3
Mechanics8.5
Opening Duels7.1
Win Impact5.0

Composite 7.5/10 (Strong), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time530ms+2ms
first ⅓ avg 528ms → last ⅓ avg 530ms
Headshot accuracy18.7%+2.0%
first ⅓ avg 16.7% → last ⅓ avg 18.7%

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

0.20Best match rating · 13–3 · vertigo, 22 Sept →
57%Best headshot accuracy · 0–4 · ancient, 20 Sept →
328msFastest reaction time · 7–0 · anubis, 3 Sept →
13–1Biggest win · vertigo, 24 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 75% over 8officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S1914–574%0.05
infernoC167–944%0.02
vertigoS1611–569%0.05
anubisC94–544%0.03
overpassB84–450%0.02
cacheS86–275%0.07
ancientA74–357%0.04
officeD61–517%-0.01
mirageA53–260%0.05
train—42–250%0.03
nuke—21–150%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

118Matches
52%Win rate
0.95Avg K/D
75.6ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3450%0.8513.2
Dust21942%0.8312.2
Anubis1953%1.0415.2
Inferno1856%1.0414.7
Ancient1547%0.9614.2
Nuke580%1.3016.8
Train580%1.0716.0
Vertigo333%1.0316.3

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.

18.3%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.1%Spray accuracy
88.3%Counter-strafing
7.7°Preaim
529msReaction time
63.4%T opening success
53.4%CT opening success
0.63Enemies flashed / flash
15.4%Flash assists
11.34HE damage / grenade
7.37Flashes / match

Recommended for you

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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0521%11 Oct →
dust213–90.1617%11 Oct →
mirage13–110.0718%11 Oct →
vertigo13–50.0420%10 Oct →
anubis8–13-0.0321%10 Oct →
ancient14–16-0.0117%10 Oct →
inferno13–10-0.0018%9 Oct →
vertigo12–120.0214%9 Oct →
office10–130.0126%9 Oct →
overpass13–80.0822%9 Oct →
dust213–30.1318%9 Oct →
anubis11–130.0911%5 Oct →
mirage6–13-0.0117%5 Oct →
dust210–130.0524%5 Oct →
office2–13-0.0921%3 Oct →
inferno1–60.0140%3 Oct →
vertigo13–90.0518%3 Oct →
overpass5–13-0.0510%3 Oct →
dust213–80.0514%3 Oct →
mirage13–90.1212%1 Oct →
dust213–60.1217%1 Oct →
ancient13–60.0920%1 Oct →
nuke13–60.1014%29 Sept →
inferno12–120.039%29 Sept →
vertigo10–130.0413%29 Sept →
cache13–5-0.0121%29 Sept →
dust25–13-0.0516%29 Sept →
mirage9–130.0735%26 Sept →
ancient11–13-0.0319%25 Sept →
vertigo13–10.1024%24 Sept →
cache13–110.1417%24 Sept →
cache13–90.0117%23 Sept →
vertigo13–9-0.0016%23 Sept →
inferno13–80.0812%22 Sept →
vertigo13–30.2021%22 Sept →
overpass13–40.1811%22 Sept →
vertigo13–70.0215%21 Sept →
dust27–13-0.0014%21 Sept →
train7–130.0122%21 Sept →
office10–130.0017%21 Sept →
cache15–150.0313%20 Sept →
anubis10–130.0617%20 Sept →
dust213–20.0318%20 Sept →
anubis9–00.1410%20 Sept →
ancient0–40.0757%20 Sept →
dust213–90.0519%20 Sept →
mirage13–60.0217%19 Sept →
inferno6–13-0.0119%19 Sept →
vertigo13–20.1514%19 Sept →
dust25–00.060%19 Sept →
inferno13–110.0015%18 Sept →
inferno5–130.0516%15 Sept →
cache10–130.0916%15 Sept →
anubis13–60.0410%15 Sept →
ancient13–110.0620%15 Sept →
vertigo13–90.0318%14 Sept →
ancient16–130.0519%13 Sept →
dust210–130.0231%13 Sept →
inferno13–100.0319%13 Sept →
office13–100.0033%13 Sept →
inferno9–130.0316%13 Sept →
dust213–40.0418%13 Sept →
vertigo3–130.0111%13 Sept →
cache13–110.0937%13 Sept →
dust213–100.0922%12 Sept →
overpass2–13-0.064%12 Sept →
inferno9–8-0.0124%12 Sept →
vertigo9–13-0.0524%12 Sept →
inferno9–130.0318%10 Sept →
anubis12–12-0.0017%10 Sept →
dust213–110.0112%10 Sept →
dust213–80.0817%10 Sept →
office6–13-0.0214%9 Sept →
inferno13–90.0714%9 Sept →
vertigo13–9-0.0119%9 Sept →
anubis13–6-0.008%9 Sept →
overpass2–13-0.0413%9 Sept →
overpass13–60.0513%6 Sept →
cache13–60.1322%6 Sept →
inferno13–3-0.0313%6 Sept →
dust29–130.0213%6 Sept →
vertigo13–100.0819%6 Sept →
train13–11-0.0219%6 Sept →
ancient13–30.0720%6 Sept →
office8–130.0529%6 Sept →
nuke4–8-0.056%5 Sept →
dust213–40.0120%5 Sept →
anubis7–13-0.0115%5 Sept →
dust213–90.0618%5 Sept →
inferno3–13-0.026%5 Sept →
vertigo8–130.0428%4 Sept →
train13–90.0522%4 Sept →
dust213–100.0120%4 Sept →
overpass3–130.0128%4 Sept →
cache13–60.0413%3 Sept →
train10–130.0724%3 Sept →
anubis7–00.017%3 Sept →
inferno13–100.1222%3 Sept →
vertigo13–80.097%3 Sept →
overpass4–00.0113%3 Sept →

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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