Ani

Ani — CS2 Stats

DE76561198190302162[U:1:230036434]Steam profile ↗✓ No bans

954Tracked matches43%Win rate2020Tracked since
3,263Hours in CS10Hrs last 2 wks
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#82286 of 251476 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

19,999Peak Premier in tracked matches
45Days played since 2026-05-20

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches15——
Win rate33%——
K/D0.76——
Headshot %54%——

Measured 10 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.7%48.2%50.9%8.3% short
Shot accuracy18.0%13.3%13.7%above
Kill/death ratio1.091.071.09meets
Match win rate42.5%46.9%48.4%5.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAniFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning40
Utility53

0–100 skill scores via Leetify.

Recent form

COLD60–40Last 10060%Win rateLWLWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +2.5pp headshot accuracy · +71ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 549ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 513ms

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 (+1.9 against its own average).

Aim8.7
Utility5.3
Positioning4.0
Opening Duels1.2
Clutch3.0

Sharp aimer

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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
Positioning4.0
Utility5.3
Mechanics6.8
Opening Duels0.3
Win Impact2.8

Composite 5.5/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time511ms−57ms
first ⅓ avg 568ms → last ⅓ avg 511ms
Headshot accuracy23.1%+0.5%
first ⅓ avg 22.6% → last ⅓ avg 23.1%

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 · 13–6 · anubis, 1 Jun →
40%Best headshot accuracy · 13–4 · cache, 22 Aug →
344msFastest reaction time · 13–6 · anubis, 24 Aug →
13–3Biggest win · inferno, 9 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 89% over 9ancientWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%-0.00
infernoA2012–860%-0.00
anubisA1911–858%0.01
cacheA127–558%-0.00
ancientB105–550%0.00
mirageS98–189%0.02
nuke—31–233%-0.04
overpass—32–167%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,816Lifetime kills
1.09K/D · Top 50% of Level 9 players
4,443Matches
42.5%Match win rate
42.7%Headshot %
18.0%Shot accuracy · Top 25% of Level 9 players
11,516MVPs
3,633Hours (in match)
2,907Bombs planted
990Bombs defused

Most-used weapons

AK-4718,658
AWP8,026
P2503,708
MAC-101,808
FAMAS1,495

Lifetime map wins

7,366inferno
4,309dust2
1,923nuke
1,585train
1,239cbble
971vertigo
120office
103italy

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

Faceit stats

Combat

521Matches
53%Win rate
1.10Avg K/D
79.5ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23858%1.0915.8
Anubis3057%1.1316.6
Inferno2560%1.1616.9
Mirage2352%1.1413.7
Cache1850%0.8313.3
Ancient1753%1.1014.7
Overpass771%1.3814.9
Nuke425%0.8416.3

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.

23.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
42.5%Spray accuracy
80.7%Counter-strafing
8.4°Preaim
504msReaction time
30.5%T opening success
32.0%CT opening success
0.43Enemies flashed / flash
6.8%Flash assists
11.21HE damage / grenade
6.59Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4261 — below the 0.5 mark we flag

    Grenade Lineups →
  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 30.4632% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0313%12 Oct →
cache13–11-0.0123%4 Oct →
nuke13–16-0.0323%4 Oct →
mirage13–10-0.0424%4 Oct →
cache9–130.0033%3 Oct →
anubis7–13-0.0816%3 Oct →
inferno13–7-0.0430%3 Oct →
anubis11–13-0.0432%11 Sept →
cache10–13-0.0430%11 Sept →
ancient6–13-0.0416%10 Sept →
ancient16–13-0.0222%6 Sept →
cache13–40.0527%30 Aug →
anubis11–130.0025%30 Aug →
anubis11–13-0.0030%30 Aug →
nuke13–8-0.0621%28 Aug →
anubis9–13-0.057%25 Aug →
dust211–13-0.0321%25 Aug →
anubis13–60.0522%24 Aug →
cache10–13-0.0123%23 Aug →
ancient7–130.0119%23 Aug →
anubis9–13-0.0431%23 Aug →
dust216–130.0113%23 Aug →
cache13–50.0223%22 Aug →
dust213–40.0432%22 Aug →
inferno13–40.0126%22 Aug →
inferno4–13-0.0511%22 Aug →
cache13–40.0240%22 Aug →
dust27–13-0.0529%21 Aug →
inferno11–130.0417%21 Aug →
anubis13–100.0725%20 Aug →
dust213–5-0.0126%20 Aug →
dust216–130.0522%20 Aug →
ancient13–60.0210%20 Aug →
ancient5–13-0.0317%19 Aug →
inferno10–13-0.0431%17 Aug →
cache13–5-0.0126%17 Aug →
cache13–11-0.0516%17 Aug →
inferno13–40.0420%17 Aug →
dust28–130.0321%16 Aug →
dust213–110.0226%16 Aug →
anubis13–10-0.0422%14 Aug →
ancient11–130.0025%14 Aug →
nuke17–19-0.0323%11 Aug →
anubis13–11-0.0433%11 Aug →
inferno13–6-0.0311%10 Aug →
inferno13–10-0.0322%10 Aug →
dust24–13-0.0631%10 Aug →
dust27–13-0.0716%3 Aug →
inferno16–140.0224%3 Aug →
inferno13–11-0.0226%13 Jul →
dust213–80.0113%13 Jul →
inferno17–19-0.0129%12 Jul →
mirage13–10-0.0127%12 Jul →
dust211–13-0.0521%10 Jul →
cache10–130.0521%7 Jul →
mirage13–8-0.0120%7 Jul →
dust213–8-0.0522%5 Jul →
overpass9–13-0.0424%5 Jul →
dust213–70.0232%24 Jun →
inferno6–130.0237%16 Jun →
anubis11–13-0.0122%15 Jun →
mirage6–130.0236%15 Jun →
dust29–13-0.0621%14 Jun →
inferno16–130.0022%14 Jun →
cache12–16-0.0438%14 Jun →
anubis13–70.0119%12 Jun →
anubis11–13-0.0126%10 Jun →
dust213–11-0.0217%10 Jun →
ancient13–90.0920%9 Jun →
inferno13–30.0516%9 Jun →
dust210–130.0635%9 Jun →
ancient11–13-0.0224%9 Jun →
anubis13–90.0514%8 Jun →
anubis13–60.0416%8 Jun →
anubis13–10-0.0019%7 Jun →
inferno13–40.0336%7 Jun →
dust213–30.0932%7 Jun →
overpass13–6-0.048%7 Jun →
inferno13–16-0.0623%7 Jun →
mirage13–9-0.0114%7 Jun →
inferno13–9-0.0114%6 Jun →
inferno8–13-0.0226%5 Jun →
dust216–13-0.0228%5 Jun →
dust213–50.0033%5 Jun →
overpass13–90.0024%4 Jun →
dust213–11-0.0522%4 Jun →
mirage13–5-0.0111%2 Jun →
anubis13–30.0319%2 Jun →
mirage13–70.0723%1 Jun →
dust217–190.0424%1 Jun →
anubis13–60.1427%1 Jun →
ancient13–9-0.0032%29 May →
mirage13–50.1133%29 May →
ancient13–60.0423%29 May →
cache13–9-0.0417%27 May →
anubis16–120.0616%26 May →
dust213–50.1338%25 May →
inferno13–90.1019%25 May →
mirage13–30.0223%25 May →
inferno13–16-0.0518%20 May →

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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