Aki

Aki — CS2 Stats

76561199446951869[U:1:1486686141]Steam profile ↗✓ No bans

3,811Tracked matches33%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating6,980Light Blue band · top ~69.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 6,980 -8,475 26 Aug – 4 Nov · 30 days played
6,98015,926peak 15,92626 Aug4 Nov
16,318Peak Premier in tracked matches
33Days played since 2026-08-26

Premier CS Rating

  • 8,946 below peak (15,926)
  • -3,611 over 30 days · declining
  • Next: Blue band at 10,000 — 3,020 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGAkiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,980 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning67
Utility40

0–100 skill scores via Leetify.

Recent form

COLD36–62–2Last 10036%Win rateLLLLLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −2.4pp headshot accuracy · +20ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 738ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 680ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 670ms

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 (+1.6 against its own average).

Aim7.2
Utility4.0
Positioning6.7
Opening Duels5.3
Clutch4.4

Strong T-side openerLimited utility dependence

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T openings. 80% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 80% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 660ms 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

Aim7.2
Positioning6.7
Utility4.0
Mechanics6.9
Opening Duels6.6
Win Impact0.0

Composite 5.2/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time668ms+21ms
first ⅓ avg 648ms → last ⅓ avg 668ms
Headshot accuracy16.5%+1.0%
first ⅓ avg 15.5% → last ⅓ avg 16.5%

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

0.13Best match rating · 13–11 · dust2, 14 Oct →
39%Best headshot accuracy · 4–13 · dust2, 10 Sept →
469msFastest reaction time · 13–5 · inferno, 13 Oct →
13–2Biggest win · dust2, 20 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
6–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD288–2029%-0.02
dust2C238–1535%-0.01
nukeB178–947%-0.01
mirageD113–827%-0.02
anubisD92–722%-0.02
ancientA85–363%0.01
cache—42–250%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
50%Win rate
0.95Avg K/D
79.8ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno771%1.0716.1
Anubis743%1.0416.3
Dust2757%0.9216.9
Nuke450%0.9514.0
Mirage333%0.8015.7
Ancient10%0.7112.0
Cache10%0.539.0

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.

16.5%Headshot accuracy
40.3%Accuracy (enemy spotted)
38.5%Spray accuracy
81.2%Counter-strafing
9.6°Preaim
660msReaction time
79.8%T opening success
43.0%CT opening success
0.40Enemies flashed / flash
2.3%Flash assists
14.63HE damage / grenade
4.42Flashes / 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 0.3976 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0910%4 Nov →
inferno7–90.036%3 Nov →
inferno6–9-0.1011%2 Nov →
inferno13–16-0.0313%2 Nov →
mirage8–13-0.0516%29 Oct →
dust213–90.049%28 Oct →
nuke4–13-0.0415%28 Oct →
inferno2–9-0.1231%26 Oct →
anubis11–13-0.0814%23 Oct →
mirage7–13-0.0410%16 Oct →
mirage4–130.0217%14 Oct →
nuke13–7-0.0219%14 Oct →
inferno10–13-0.0323%14 Oct →
mirage6–13-0.0412%14 Oct →
dust213–110.1321%14 Oct →
anubis9–13-0.0218%13 Oct →
inferno11–13-0.0321%13 Oct →
inferno13–50.0410%13 Oct →
nuke7–13-0.019%13 Oct →
cache16–140.009%13 Oct →
dust25–13-0.047%10 Oct →
mirage4–13-0.0615%10 Oct →
mirage11–13-0.0016%10 Oct →
inferno10–130.0321%8 Oct →
cache13–90.0617%8 Oct →
inferno13–70.0317%8 Oct →
mirage13–80.0524%8 Oct →
nuke10–13-0.0228%8 Oct →
inferno6–11-0.0118%7 Oct →
inferno3–130.0223%7 Oct →
inferno13–100.0721%7 Oct →
mirage9–13-0.0523%6 Oct →
nuke13–6-0.0119%6 Oct →
inferno13–100.0222%6 Oct →
dust25–13-0.088%4 Oct →
ancient10–130.0332%4 Oct →
nuke13–11-0.0615%4 Oct →
anubis13–70.0118%4 Oct →
inferno13–160.009%3 Oct →
dust213–50.1013%3 Oct →
mirage13–10-0.0324%3 Oct →
inferno7–13-0.0510%3 Oct →
ancient8–13-0.0014%3 Oct →
inferno7–13-0.0512%30 Sept →
nuke13–90.1214%30 Sept →
dust29–13-0.0513%30 Sept →
dust27–130.0022%30 Sept →
inferno10–13-0.0230%28 Sept →
inferno11–13-0.0414%28 Sept →
mirage11–13-0.0220%28 Sept →
ancient13–11-0.0520%27 Sept →
anubis7–13-0.023%27 Sept →
cache9–13-0.0013%27 Sept →
dust213–70.0019%27 Sept →
nuke14–160.0322%27 Sept →
dust21–13-0.1111%27 Sept →
dust210–13-0.0417%26 Sept →
anubis13–110.0315%26 Sept →
ancient9–130.019%26 Sept →
nuke13–60.0312%26 Sept →
mirage13–4-0.0219%24 Sept →
nuke11–13-0.0218%24 Sept →
inferno7–9-0.0827%24 Sept →
ancient13–7-0.029%23 Sept →
dust27–13-0.0319%23 Sept →
dust210–13-0.0312%23 Sept →
inferno3–13-0.026%23 Sept →
ancient16–130.036%22 Sept →
nuke13–40.0413%20 Sept →
nuke0–13-0.0918%20 Sept →
ancient13–80.099%20 Sept →
dust213–20.1124%20 Sept →
inferno11–13-0.0416%20 Sept →
anubis6–130.0325%10 Sept →
dust24–13-0.0039%10 Sept →
inferno13–90.0011%10 Sept →
inferno8–13-0.0217%3 Sept →
dust27–13-0.0718%2 Sept →
anubis11–13-0.038%2 Sept →
inferno13–50.0812%2 Sept →
inferno3–130.0215%1 Sept →
dust22–13-0.0716%30 Aug →
nuke4–13-0.0711%30 Aug →
anubis6–13-0.0610%30 Aug →
ancient13–11-0.0223%30 Aug →
inferno13–8-0.0311%30 Aug →
dust26–13-0.069%29 Aug →
cache5–13-0.0217%29 Aug →
nuke13–4-0.0211%29 Aug →
dust24–13-0.075%29 Aug →
nuke13–9-0.017%28 Aug →
dust213–20.0424%28 Aug →
dust24–130.0218%27 Aug →
nuke15–15-0.0210%27 Aug →
nuke6–13-0.0113%27 Aug →
inferno4–13-0.1216%26 Aug →
dust213–7-0.0117%26 Aug →
anubis15–15-0.0223%26 Aug →
inferno13–6-0.0117%26 Aug →
dust216–13-0.0022%26 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 →

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