akashi

akashi — CS2 Stats

GS76561198244438684[U:1:284172956]Steam profile ↗✓ No bans

1,306Tracked matches50%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
CSDB Leaderboard#63451 of 261580 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,306
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 21,548 -1,373 11 May – 2 Oct · 37 days played
20,55224,841peak 24,84111 May2 Oct
24,841Peak Premier in tracked matches
42Days played since 2026-05-11

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

Share this profile

CSDB.GGakashiFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning49
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLLWWWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.0pp headshot accuracy · +38ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 612ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 593ms

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 (+2.1 against its own average).

Aim8.7
Utility6.2
Positioning4.9
Opening Duels2.8
Clutch2.6

Sharp aimerExcellent counter-strafingEffective 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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.7
Positioning4.9
Utility6.2
Mechanics8.7
Opening Duels2.2
Win Impact5.0

Composite 6.5/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time608ms−2ms
first ⅓ avg 609ms → last ⅓ avg 608ms
Headshot accuracy18.5%+2.9%
first ⅓ avg 15.6% → last ⅓ avg 18.5%

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

0.15Best match rating · 13–4 · dust2, 15 Jun →
50%Best headshot accuracy · 13–5 · dust2, 10 Jun →
406msFastest reaction time · 3–13 · anubis, 24 Sept →
13–0Biggest win · inferno, 9 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 83% over 6dust2Weakest map · 48% over 29
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%0.00
infernoA1810–856%-0.00
mirageA1610–663%0.00
anubisB147–750%0.01
nukeB84–450%-0.01
ancientS65–183%-0.01
cacheA53–260%0.01
overpass—42–250%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (48% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

762Matches
51%Win rate
1.27Avg K/D
82.0ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3837%1.1616.4
Anubis2143%1.2918.4
Inferno2045%1.1415.8
Vertigo1573%1.1416.6
Ancient1050%1.2615.2
Dust21050%1.1916.9
Nuke875%1.3819.5
Overpass333%0.7410.7

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.

19.1%Headshot accuracy
39.3%Accuracy (enemy spotted)
47.5%Spray accuracy
89.0%Counter-strafing
9.6°Preaim
606msReaction time
30.5%T opening success
47.1%CT opening success
0.74Enemies flashed / flash
3.1%Flash assists
10.21HE damage / grenade
6.53Flashes / 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. 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 30.4668% — below the 40% mark we flag

Spend your practice time on Dust 2

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

48% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0125%7 Nov →
anubis3–130.0213%24 Sept →
inferno13–110.0115%23 Sept →
inferno8–2-0.026%6 Aug →
dust213–6-0.0213%6 Aug →
dust210–130.0334%29 Jul →
anubis13–100.0123%29 Jul →
dust213–100.0328%27 Jul →
mirage6–13-0.077%27 Jul →
dust211–13-0.0232%14 Jul →
mirage8–13-0.1020%14 Jul →
dust22–13-0.0318%14 Jul →
cache13–40.0212%13 Jul →
inferno3–13-0.0317%12 Jul →
dust23–13-0.0414%12 Jul →
ancient4–13-0.0223%12 Jul →
anubis8–130.0719%12 Jul →
mirage13–7-0.0018%12 Jul →
dust213–8-0.0124%12 Jul →
mirage13–110.0612%12 Jul →
inferno13–8-0.0231%11 Jul →
anubis2–13-0.0314%11 Jul →
dust213–3-0.0324%9 Jul →
cache8–13-0.039%9 Jul →
mirage13–10.0311%9 Jul →
cache7–13-0.0224%9 Jul →
nuke13–80.0423%9 Jul →
inferno13–00.0914%9 Jul →
dust211–130.0521%3 Jul →
mirage13–80.1011%2 Jul →
dust28–13-0.0320%2 Jul →
mirage12–160.0022%26 Jun →
anubis13–10-0.0116%24 Jun →
inferno7–00.0825%24 Jun →
mirage6–13-0.0618%23 Jun →
dust26–13-0.0420%22 Jun →
mirage13–100.0326%22 Jun →
anubis14–16-0.0319%21 Jun →
ancient16–140.0110%21 Jun →
mirage15–15-0.0022%21 Jun →
dust211–13-0.0616%21 Jun →
overpass3–13-0.085%19 Jun →
mirage13–70.0114%18 Jun →
anubis13–10-0.0118%18 Jun →
inferno16–12-0.029%17 Jun →
dust28–13-0.0415%17 Jun →
nuke13–8-0.026%17 Jun →
dust213–40.0419%17 Jun →
mirage13–30.037%17 Jun →
anubis13–30.0120%15 Jun →
inferno4–13-0.0717%15 Jun →
dust213–40.1526%15 Jun →
dust213–10-0.0620%15 Jun →
nuke3–13-0.1213%15 Jun →
ancient13–11-0.0317%14 Jun →
dust213–100.0528%11 Jun →
overpass10–13-0.0116%11 Jun →
dust213–50.0650%10 Jun →
anubis13–100.0313%10 Jun →
inferno9–13-0.0315%10 Jun →
inferno11–130.0013%8 Jun →
dust213–8-0.038%7 Jun →
inferno13–10-0.0330%7 Jun →
nuke10–130.0312%7 Jun →
dust27–130.0526%4 Jun →
ancient13–10-0.0115%4 Jun →
mirage13–70.0115%4 Jun →
anubis13–50.0123%4 Jun →
dust27–130.0333%3 Jun →
dust210–13-0.035%3 Jun →
mirage13–11-0.0118%3 Jun →
ancient13–6-0.0123%2 Jun →
anubis7–130.0511%2 Jun →
ancient13–10-0.029%29 May →
dust213–110.069%29 May →
anubis1–13-0.0525%29 May →
inferno13–110.008%29 May →
mirage13–11-0.0212%28 May →
dust213–80.0415%28 May →
dust213–80.0725%27 May →
anubis13–9-0.0221%27 May →
inferno13–10-0.029%27 May →
overpass13–20.0718%27 May →
mirage9–130.0317%25 May →
dust23–13-0.076%24 May →
cache13–110.0220%22 May →
nuke11–130.0130%20 May →
anubis14–160.0220%20 May →
nuke13–11-0.047%19 May →
dust211–13-0.0612%19 May →
cache13–90.0720%14 May →
inferno13–16-0.0112%13 May →
inferno8–13-0.0111%13 May →
inferno9–130.0013%12 May →
nuke13–90.1531%12 May →
overpass13–30.107%12 May →
dust26–13-0.039%11 May →
inferno13–80.0113%11 May →
nuke10–13-0.094%11 May →
dust213–70.0218%11 May →

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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