Aakoo Ankka

Aakoo Ankka — CS2 Stats

76561198448078186[U:1:487812458]Steam profile ↗✓ No bans

635Tracked matches40%Win rate2020Tracked since
1,321Hours in CS
CSDB Rating4.5 DevelopingAll-Rounder
Premier CS Rating9,083Light Blue band · top ~59.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (24 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: 9,083 -3,299 17 Jan – 12 Oct · 18 days played
7,66613,607peak 13,60717 Jan12 Oct
13,607Peak Premier in tracked matches
31Days played since 2026-01-17

Premier CS Rating

  • 4,524 below peak (13,607)
  • -325 over 90 days
  • Next: Blue band at 10,000 — 917 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-20

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.6%42.7%43.8%3.2% short
Shot accuracy17.6%11.2%12.0%above
Kill/death ratio1.080.991.02above
Match win rate41.9%43.9%44.7%2.8% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAakoo AnkkaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,083 · Light Blue 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

Aim43
Positioning63
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY39–60–1Last 10039%Win rateWWWWLLLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · +57ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 778ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 771ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 743ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.3
Utility6.2
Positioning6.3
Opening Duels4.5
Clutch6.0

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

m0NESY

Plays most like m0NESY 62% 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

Areas to improve

Reaction time. 736ms 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

Aim4.3
Positioning6.3
Utility6.2
Mechanics6.5
Opening Duels3.8
Win Impact1.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time736ms+20ms
first ⅓ avg 715ms → last ⅓ avg 736ms
Headshot accuracy17.8%+5.2%
first ⅓ avg 12.7% → last ⅓ avg 17.8%

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

0.23Best match rating · 13–7 · mirage, 28 Mar →
33%Best headshot accuracy · 9–13 · dust2, 27 Mar →
508msFastest reaction time · 13–5 · anubis, 16 Jul →
13–1Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
11–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 59% over 17ancientWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%0.01
nukeA1710–759%-0.00
ancientD152–1313%0.01
dust2D144–1029%0.00
mirageC145–936%-0.01
anubisB84–450%0.01
overpassC73–443%-0.00
cache—41–325%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,737Lifetime kills
1.08K/D · Top 50% of Level 4 players
3,285Matches
41.9%Match win rate
40.6%Headshot %
17.6%Shot accuracy · Top 25% of Level 4 players
8,215MVPs
1,321Hours (in match)
2,273Bombs planted
691Bombs defused

Most-used weapons

AK-4723,839
AWP10,855
MP92,935
P902,392
MAC-102,337
MP71,300

Lifetime map wins

6,577inferno
3,845train
3,214nuke
3,137dust2
1,886vertigo
180cbble
68lake
56safehouse

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

Faceit stats

Combat

41Matches
46%Win rate
0.91Avg K/D
85.2ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4100%1.5620.5
Ancient333%1.0819.7
Dust2250%0.7421.0
Inferno1100%0.6114.0

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.

18.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.1%Spray accuracy
79.1%Counter-strafing
10.9°Preaim
736msReaction time
38.8%T opening success
51.3%CT opening success
0.70Enemies flashed / flash
7.2%Flash assists
11.68HE damage / grenade
6.83Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 735.5908ms — above the 700ms mark we flag

    Aim Training →
  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 38.7784% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–14-0.0014%12 Oct →
cache13–30.0115%12 Oct →
anubis13–80.0316%12 Oct →
nuke13–10.1415%12 Oct →
anubis11–13-0.0026%14 Aug →
cache7–13-0.0829%14 Aug →
dust211–13-0.0112%5 Aug →
ancient5–13-0.0417%5 Aug →
inferno16–12-0.0030%5 Aug →
inferno12–160.0217%1 Aug →
nuke13–2-0.0422%1 Aug →
dust213–40.0326%1 Aug →
mirage10–13-0.0215%1 Aug →
dust28–13-0.0625%1 Aug →
cache8–13-0.0315%1 Aug →
nuke11–10-0.038%22 Jul →
nuke11–13-0.056%20 Jul →
dust29–13-0.0425%17 Jul →
inferno9–13-0.0613%17 Jul →
inferno13–60.1126%17 Jul →
mirage9–13-0.0317%16 Jul →
anubis13–50.0430%16 Jul →
dust211–13-0.0118%16 Jul →
mirage13–90.0216%15 Jul →
nuke13–50.0624%15 Jul →
inferno6–130.1027%15 Jul →
mirage10–13-0.0616%12 Jul →
inferno7–130.0218%12 Jul →
ancient9–13-0.0514%12 Jul →
dust24–13-0.045%12 Jul →
ancient0–13-0.029%12 Jul →
dust213–60.0915%12 Jul →
nuke13–4-0.007%12 Jul →
inferno13–40.0116%12 Jul →
inferno13–110.1620%11 Jul →
ancient6–130.0119%11 Jul →
cache11–13-0.0017%11 Jul →
ancient6–130.0323%11 Jul →
nuke13–90.0724%11 Jul →
ancient10–130.059%10 Jul →
ancient13–11-0.0114%10 Jul →
nuke13–110.017%5 Jul →
overpass5–13-0.015%15 May →
nuke8–130.1224%15 May →
inferno6–130.0021%15 May →
mirage6–130.0016%15 May →
mirage2–13-0.043%15 May →
ancient13–100.1412%28 Mar →
inferno10–130.0520%28 Mar →
dust211–13-0.0214%28 Mar →
overpass13–50.0521%28 Mar →
nuke4–13-0.058%28 Mar →
mirage9–130.0110%28 Mar →
nuke4–13-0.0920%28 Mar →
ancient14–160.0025%28 Mar →
inferno13–11-0.0313%28 Mar →
anubis16–130.0818%28 Mar →
mirage13–70.2313%28 Mar →
overpass10–130.0314%27 Mar →
ancient7–13-0.0431%27 Mar →
anubis6–13-0.0111%27 Mar →
dust29–130.1733%27 Mar →
ancient9–130.0418%27 Mar →
overpass13–110.0311%27 Mar →
mirage7–130.0116%27 Mar →
overpass6–13-0.0516%27 Mar →
nuke13–10-0.0611%27 Mar →
inferno9–13-0.0715%27 Mar →
overpass0–8-0.050%27 Mar →
ancient10–13-0.0613%1 Mar →
anubis11–13-0.0111%28 Feb →
mirage6–13-0.0410%28 Feb →
ancient10–130.0414%25 Feb →
nuke9–13-0.047%21 Feb →
nuke13–4-0.0119%16 Feb →
inferno13–110.0212%16 Feb →
anubis13–10-0.068%16 Feb →
inferno10–13-0.036%14 Feb →
mirage13–9-0.0413%14 Feb →
inferno13–60.0319%13 Feb →
nuke8–13-0.0222%13 Feb →
dust28–130.0017%7 Feb →
mirage13–10-0.0412%7 Feb →
mirage9–13-0.067%1 Feb →
inferno13–11-0.018%1 Feb →
mirage13–11-0.0617%1 Feb →
inferno9–13-0.0018%1 Feb →
inferno13–8-0.0122%1 Feb →
nuke10–13-0.057%31 Jan →
ancient11–130.0314%31 Jan →
dust25–13-0.057%30 Jan →
anubis11–13-0.0019%24 Jan →
overpass13–11-0.0413%24 Jan →
inferno13–50.0512%24 Jan →
inferno7–13-0.0211%23 Jan →
dust213–8-0.0411%23 Jan →
ancient11–13-0.0215%20 Jan →
nuke13–20.0119%17 Jan →
inferno9–13-0.029%17 Jan →
dust215–150.0213%17 Jan →

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 →

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