An1ta

An1ta — CS2 Stats

IS76561197962607651[U:1:2341923]Steam profile ↗✓ No bans

2,397Tracked matches41%Win rate2020Tracked since
3,080Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,366Top 50% of 212,379 CSDB-tracked playersPurple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#94402 of 259194 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (17 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: 19,366 -1,803 15 Aug – 15 Oct · 31 days played
17,80922,249peak 22,24915 Aug15 Oct
22,249Peak Premier in tracked matches
37Days played since 2026-08-15

Premier CS Rating

  • 2,883 below peak (22,249)
  • -633 over 30 days · declining
  • Next: Pink band at 20,000 — 634 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate39.7%43.8%44.8%5.1% short
Shot accuracy14.4%12.0%12.4%above
Kill/death ratio1.061.021.03above
Match win rate42.1%44.7%45.2%3.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAn1taFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,366 · Purple 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

Aim39
Positioning66
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateWLWWWLTWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · +27ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 9%
  • Avg reaction 613ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 594ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

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 (+2.2 against its own average).

Aim3.9
Utility7.4
Positioning6.6
Opening Duels5.6
Clutch1.4

Strong CT-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

device

Plays most like device 51% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning6.6
Utility7.4
Mechanics3.9
Opening Duels7.9
Win Impact2.1

Composite 5.2/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time585ms−4ms
first ⅓ avg 588ms → last ⅓ avg 585ms
Headshot accuracy10.7%−2.8%
first ⅓ avg 13.5% → last ⅓ avg 10.7%

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

0.42Best match rating · 9–0 · nuke, 11 Oct →
40%Best headshot accuracy · 7–1 · inferno, 7 Oct →
375msFastest reaction time · 4–5 · mirage, 7 Sept →
13–1Biggest win · ancient, 14 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2610–1638%-0.03
cacheD165–1131%-0.02
anubisC156–940%0.00
ancientA148–657%0.01
mirageB105–550%-0.01
nukeA85–363%0.06
dust2—42–250%-0.00
overpass—20–20%-0.05
eldorado—10–10%-0.02
poseidon—10–10%0.02
train—10–10%-0.05
rush_001—10–10%-0.07
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Lifetime stats

143,537Lifetime kills
1.06K/D · Top 50% of Level 5 players
7,968Matches
42.1%Match win rate
39.7%Headshot %
14.4%Shot accuracy · Top 50% of Level 5 players
14,852MVPs
3,080Hours (in match)
8,324Bombs planted
1,577Bombs defused

Most-used weapons

AK-4749,026
P2505,276
FAMAS3,990
P902,996
MP92,844

Lifetime map wins

14,895inferno
10,369dust2
5,384nuke
2,375vertigo
2,159train
932cbble
800lake
534safehouse

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

Faceit stats

Combat

78Matches
53%Win rate
1.14Avg K/D
79.9ADR
30%Headshot %

Clutches & streaks

27%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis617%0.9618.7
Ancient367%0.6710.3
Dust2250%0.7613.5
Inferno250%0.809.0
Train1100%0.506.0
Mirage1100%5.0015.0

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.

10.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.0%Spray accuracy
67.7%Counter-strafing
11.4°Preaim
580msReaction time
57.1%T opening success
65.9%CT opening success
0.69Enemies flashed / flash
13.6%Flash assists
13.07HE damage / grenade
11.18Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3273% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0812%15 Oct →
inferno6–130.079%15 Oct →
cache13–110.018%15 Oct →
anubis13–30.0811%14 Oct →
inferno13–4-0.014%14 Oct →
ancient8–130.019%14 Oct →
ancient15–15-0.0414%14 Oct →
mirage16–13-0.036%14 Oct →
inferno4–9-0.0114%13 Oct →
eldorado6–9-0.0212%13 Oct →
inferno8–13-0.0112%12 Oct →
cache13–9-0.0111%12 Oct →
inferno6–9-0.0514%11 Oct →
nuke9–00.4221%11 Oct →
poseidon5–90.024%11 Oct →
inferno2–13-0.097%9 Oct →
train6–13-0.054%8 Oct →
mirage13–100.028%8 Oct →
nuke13–40.0813%7 Oct →
inferno7–10.0440%7 Oct →
inferno1–9-0.225%7 Oct →
inferno7–90.0526%6 Oct →
mirage7–13-0.058%5 Oct →
dust213–110.029%5 Oct →
cache10–13-0.0310%5 Oct →
inferno13–2-0.066%5 Oct →
cache9–13-0.0010%4 Oct →
mirage10–13-0.0611%4 Oct →
rush_0013–7-0.076%4 Oct →
mirage11–13-0.028%2 Oct →
anubis9–13-0.035%2 Oct →
inferno8–130.047%2 Oct →
ancient16–130.0411%1 Oct →
inferno6–13-0.0813%1 Oct →
ancient9–13-0.0914%17 Sept →
inferno9–130.0218%17 Sept →
overpass7–13-0.0111%17 Sept →
mirage4–13-0.0320%17 Sept →
nuke16–130.0813%16 Sept →
dust213–100.0510%15 Sept →
cache11–13-0.0118%15 Sept →
inferno10–13-0.0312%15 Sept →
inferno4–13-0.089%14 Sept →
ancient13–10.0312%14 Sept →
anubis13–9-0.0411%13 Sept →
cache13–16-0.0613%13 Sept →
dust23–13-0.0416%12 Sept →
inferno3–13-0.108%12 Sept →
cache4–13-0.0322%12 Sept →
ancient13–70.0519%11 Sept →
anubis13–80.0316%11 Sept →
ancient13–60.0110%11 Sept →
nuke11–13-0.064%11 Sept →
inferno13–6-0.044%11 Sept →
inferno13–11-0.0315%9 Sept →
nuke13–100.0120%9 Sept →
nuke13–40.013%7 Sept →
mirage4–5-0.0025%7 Sept →
cache8–13-0.0612%7 Sept →
mirage11–130.0017%5 Sept →
ancient11–130.0416%5 Sept →
anubis8–130.017%5 Sept →
ancient13–11-0.012%4 Sept →
anubis13–100.058%4 Sept →
overpass2–9-0.0910%4 Sept →
vertigo13–80.009%4 Sept →
inferno13–110.0311%3 Sept →
anubis13–110.0415%30 Aug →
ancient13–30.1110%30 Aug →
anubis13–16-0.0014%30 Aug →
nuke11–130.0213%29 Aug →
ancient14–16-0.018%29 Aug →
cache7–130.0112%29 Aug →
anubis5–13-0.0218%28 Aug →
cache8–13-0.0319%28 Aug →
inferno13–60.0111%28 Aug →
anubis13–7-0.047%27 Aug →
inferno5–13-0.0516%27 Aug →
anubis7–13-0.0317%26 Aug →
ancient5–13-0.0815%26 Aug →
cache13–30.0918%25 Aug →
anubis11–13-0.0513%25 Aug →
inferno3–13-0.0513%25 Aug →
ancient13–9-0.0214%25 Aug →
inferno16–140.0117%24 Aug →
anubis11–13-0.029%24 Aug →
cache13–50.0115%24 Aug →
cache10–13-0.0613%23 Aug →
cache8–13-0.0113%23 Aug →
anubis9–13-0.007%23 Aug →
cache7–13-0.0917%20 Aug →
nuke9–13-0.1119%20 Aug →
cache13–11-0.023%19 Aug →
inferno13–11-0.0214%19 Aug →
mirage13–7-0.038%17 Aug →
ancient13–20.0914%17 Aug →
inferno5–13-0.0522%17 Aug →
dust213–16-0.0312%15 Aug →
inferno13–60.038%15 Aug →
anubis10–130.0624%15 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.