Akana

Akana — CS2 Stats

DE76561198064203776[U:1:103938048]Steam profile ↗✓ No bans

1,948Tracked matches60%Win rate2021Tracked since
3,481Hours in CS81Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating23,726Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#34028 of 252708 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (4 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: 23,726 +237 26 Jul – 13 Oct · 23 days played
23,09624,314peak 24,31426 Jul13 Oct
24,386Peak Premier in tracked matches
39Days played since 2026-07-20

Premier CS Rating

  • 588 below peak (24,314)
  • +77 over 30 days · steady
  • +237 over 90 days
  • Next: Red band at 25,000 — 1,274 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches182——
Win rate54%——
K/D0.70——
Headshot %45%——

Measured 16 Sep 2026 → 17 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 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate37.9%46.8%48.2%10.3% short
Shot accuracy10.7%13.0%13.2%2.6% short
Kill/death ratio0.791.061.070.28 short
Match win rate41.9%46.3%46.9%5.0% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAkanaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,726 · Pink 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

Aim59
Positioning53
Utility52

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateLWWWLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −2.7pp headshot accuracy · +45ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 505ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 562ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

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).

Aim5.9
Utility5.2
Positioning5.3
Opening Duels1.0
Clutch3.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 53% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim5.9
Positioning5.3
Utility5.2
Mechanics4.9
Opening Duels3.4
Win Impact8.3

Composite 5.6/10 (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 rating-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time562ms−45ms
first ⅓ avg 607ms → last ⅓ avg 562ms
Headshot accuracy14.7%−3.1%
first ⅓ avg 17.8% → last ⅓ avg 14.7%

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

0.09Best match rating · 13–1 · dust2, 13 Sept →
52%Best headshot accuracy · 10–13 · boulder, 26 Jul →
383msFastest reaction time · 13–7 · ancient, 15 Oct →
13–1Biggest win · mirage, 15 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 63% over 8ancientWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
ancientC219–1243%-0.02
dust2B2010–1050%-0.02
mirageB1910–953%-0.04
cacheB147–750%-0.03
anubisA85–363%-0.03
infernoA53–260%-0.02
train—32–167%-0.06
vertigo—32–167%0.00
nuke—20–20%-0.00
fachwerk—21–150%-0.03
overpass—11–0100%-0.02
shelter—11–0100%-0.02
boulder—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,214Lifetime kills
0.79K/D
4,448Matches
41.9%Match win rate
37.9%Headshot %
10.7%Shot accuracy
8,171MVPs
2,107Hours (in match)
3,565Bombs planted
850Bombs defused

Most-used weapons

AK-4720,533
AWP12,160
MAC-101,696
MP91,675
Tec-91,143

Lifetime map wins

8,945dust2
7,074inferno
2,159nuke
1,884cbble
741train
578office
541vertigo
138aztec

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

Faceit stats

Combat

683Matches
52%Win rate
0.94Avg K/D
71.7ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust223853%0.9714.3
Mirage10847%0.8814.1
Ancient10354%0.8513.5
Cache6360%0.9413.9
Anubis5254%0.8914.6
Inferno4844%1.0915.3
Nuke2748%0.8713.7
Overpass771%1.2116.4

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.

14.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.9%Spray accuracy
72.0%Counter-strafing
10.5°Preaim
565msReaction time
53.0%T opening success
34.2%CT opening success
0.56Enemies flashed / flash
5.9%Flash assists
6.96HE damage / grenade
8.52Flashes / 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 14.4006% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2035% — 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.

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–19-0.0510%15 Oct →
anubis13–10-0.0213%15 Oct →
anubis13–6-0.0310%15 Oct →
ancient13–7-0.0420%15 Oct →
anubis2–13-0.107%15 Oct →
anubis11–13-0.0510%14 Oct →
cache13–9-0.0820%13 Oct →
anubis13–10-0.0414%13 Oct →
ancient13–80.0120%13 Oct →
train13–6-0.0613%12 Oct →
anubis7–13-0.035%10 Oct →
mirage13–10-0.0118%10 Oct →
mirage10–130.0117%10 Oct →
dust25–13-0.027%10 Oct →
ancient13–11-0.0617%10 Oct →
ancient5–130.0414%8 Oct →
ancient13–9-0.0316%8 Oct →
dust213–5-0.0229%8 Oct →
cache13–16-0.0521%8 Oct →
cache13–8-0.0320%8 Oct →
dust29–13-0.058%8 Oct →
mirage13–11-0.076%7 Oct →
ancient8–13-0.0420%7 Oct →
ancient3–130.0015%7 Oct →
mirage13–8-0.0317%7 Oct →
cache16–13-0.0612%7 Oct →
cache22–19-0.0114%6 Oct →
vertigo13–11-0.0114%6 Oct →
mirage5–11-0.0219%5 Oct →
cache13–7-0.0511%5 Oct →
mirage16–190.0110%2 Oct →
inferno13–60.0226%1 Oct →
dust25–130.0117%1 Oct →
inferno16–13-0.0213%30 Sept →
ancient9–13-0.059%30 Sept →
inferno11–13-0.0319%22 Sept →
ancient4–13-0.0418%18 Sept →
dust213–40.0322%17 Sept →
dust214–16-0.0317%17 Sept →
ancient8–13-0.0410%16 Sept →
anubis13–50.0020%16 Sept →
dust213–30.0624%15 Sept →
mirage13–1-0.025%15 Sept →
mirage10–13-0.0511%15 Sept →
dust27–13-0.039%13 Sept →
mirage3–13-0.070%13 Sept →
dust213–10.0911%13 Sept →
vertigo5–13-0.0612%12 Sept →
train13–11-0.0521%12 Sept →
cache8–13-0.0040%12 Sept →
dust29–13-0.0938%12 Sept →
cache9–13-0.0319%12 Sept →
cache5–130.077%4 Sept →
mirage16–13-0.0118%4 Sept →
dust213–6-0.0518%4 Sept →
inferno8–13-0.078%25 Aug →
nuke5–130.0018%16 Aug →
vertigo13–60.0710%16 Aug →
overpass13–9-0.0218%16 Aug →
dust213–9-0.0323%15 Aug →
dust213–9-0.0924%15 Aug →
train6–13-0.0620%15 Aug →
dust215–15-0.0213%14 Aug →
cache4–13-0.0018%14 Aug →
cache13–60.0415%11 Aug →
ancient13–60.0419%11 Aug →
dust213–9-0.0613%11 Aug →
cache10–13-0.0338%8 Aug →
mirage13–8-0.0422%8 Aug →
mirage13–8-0.0711%7 Aug →
dust213–8-0.0119%6 Aug →
ancient13–8-0.0210%6 Aug →
ancient7–130.0219%5 Aug →
mirage13–10-0.0611%4 Aug →
ancient7–00.0510%4 Aug →
dust29–13-0.0326%4 Aug →
ancient15–15-0.0113%4 Aug →
mirage12–16-0.0712%4 Aug →
dust20–13-0.105%2 Aug →
mirage13–11-0.0322%2 Aug →
mirage13–6-0.0124%2 Aug →
shelter13–10-0.0217%1 Aug →
fachwerk13–8-0.038%1 Aug →
ancient10–13-0.0921%1 Aug →
nuke8–13-0.0112%31 Jul →
dust213–11-0.0013%31 Jul →
inferno13–8-0.0114%31 Jul →
mirage8–13-0.0422%31 Jul →
mirage6–13-0.1020%30 Jul →
cache13–9-0.0328%30 Jul →
mirage8–13-0.0323%30 Jul →
dust211–13-0.0219%28 Jul →
ancient14–16-0.0413%28 Jul →
ancient16–14-0.0312%28 Jul →
fachwerk8–13-0.0321%26 Jul →
boulder10–13-0.0152%26 Jul →
ancient5–13-0.1114%26 Jul →
ancient13–3-0.0214%22 Jul →
anubis13–70.0210%21 Jul →
cache5–13-0.1017%20 Jul →

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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