asko

asko — CS2 Stats

76561197997678024[U:1:37412296]Steam profile ↗✓ No bans

481Tracked matches37%Win rate2023Tracked since
CSDB Rating3.6 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,788 -5,824 12 Jan – 28 Apr · 11 days played
4,00610,998peak 10,99812 Jan28 Apr
10,998Peak Premier in tracked matches
55Days played since 2026-01-12

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

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CSDB.GGaskoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning40
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY34–64–2Last 10034%Win rateLLWWLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.6pp headshot accuracy · −80ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 603ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 618ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 658ms

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 (+2.3 against its own average).

Aim3.6
Utility6.0
Positioning4.0
Opening Duels1.2
Clutch3.8

Strong T-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

ZywOo

Plays most like ZywOo 69% 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. 641ms 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

Aim3.6
Positioning4.0
Utility6.0
Mechanics4.8
Opening Duels0.8
Win Impact0.6

Composite 3.6/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time652ms−19ms
first ⅓ avg 671ms → last ⅓ avg 652ms
Headshot accuracy16.4%−0.2%
first ⅓ avg 16.6% → last ⅓ avg 16.4%

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

0.07Best match rating · 13–5 · nuke, 21 Jan →
38%Best headshot accuracy · 4–13 · dust2, 5 Feb →
422msFastest reaction time · 7–13 · anubis, 5 Feb →
13–2Biggest win · cache, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 50% over 12mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%-0.01
nukeD227–1532%-0.04
dust2D133–1023%-0.04
ancientB126–650%-0.03
anubisD92–722%-0.04
mirageD61–517%-0.02
overpassD62–433%-0.02
cacheC52–340%-0.04
vertigo—41–325%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

279Matches
52%Win rate
0.86Avg K/D
68.9ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno7556%0.8712.5
Nuke6650%0.9615.0
Cache6258%0.8213.4
Ancient3456%0.8312.7
Anubis1436%0.7012.6
Dust2933%0.6712.0
Vertigo825%0.6810.9
Overpass540%0.7913.0

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.

16.7%Headshot accuracy
29.9%Accuracy (enemy spotted)
33.8%Spray accuracy
71.6%Counter-strafing
13.3°Preaim
641msReaction time
36.1%T opening success
26.7%CT opening success
0.66Enemies flashed / flash
6.0%Flash assists
11.47HE damage / grenade
7.18Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2622° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0812%10 Oct →
ancient6–130.0012%7 Oct →
dust213–8-0.0428%4 Oct →
ancient16–130.0114%4 Oct →
inferno5–13-0.0729%4 Oct →
nuke8–13-0.0011%4 Oct →
ancient13–7-0.0311%3 Oct →
vertigo13–100.0324%3 Oct →
cache13–2-0.049%26 Sept →
inferno5–13-0.025%25 Sept →
nuke13–110.0112%24 Sept →
mirage13–60.0523%23 Sept →
mirage1–13-0.036%19 Sept →
vertigo8–13-0.0423%16 Sept →
cache13–90.0225%13 Sept →
ancient2–13-0.0121%2 Sept →
ancient16–14-0.0211%20 Aug →
nuke7–13-0.1214%18 Aug →
nuke3–13-0.0715%11 Aug →
nuke12–16-0.0121%11 Aug →
inferno3–13-0.058%11 Aug →
vertigo6–13-0.0418%10 Aug →
dust27–13-0.1212%10 Aug →
vertigo8–13-0.0523%10 Aug →
inferno13–8-0.0329%3 Aug →
nuke4–13-0.0915%2 Aug →
inferno13–110.0417%30 Jul →
nuke11–13-0.0729%27 Jul →
nuke13–16-0.048%22 Jul →
inferno9–130.0013%19 Jul →
inferno10–13-0.0716%17 Jun →
overpass3–13-0.0813%9 Jun →
inferno8–13-0.0316%4 Jun →
nuke5–13-0.0617%26 May →
inferno13–110.0316%18 May →
ancient13–11-0.0518%12 May →
overpass13–100.0123%8 May →
nuke3–13-0.029%3 May →
inferno10–130.0323%28 Apr →
inferno9–13-0.0125%28 Apr →
inferno5–00.058%28 Apr →
overpass13–40.0520%27 Apr →
cache9–13-0.0620%22 Apr →
cache7–13-0.0512%22 Apr →
inferno13–50.0115%11 Apr →
nuke13–10-0.0213%11 Apr →
overpass13–16-0.0426%8 Apr →
nuke13–10-0.0125%8 Apr →
ancient0–13-0.0218%5 Apr →
ancient10–13-0.0221%30 Mar →
dust211–13-0.0816%30 Mar →
overpass6–130.0120%30 Mar →
dust210–13-0.0617%25 Mar →
inferno13–8-0.0222%24 Mar →
anubis13–30.0414%24 Mar →
dust25–13-0.0433%24 Mar →
dust26–13-0.0519%24 Mar →
dust27–13-0.0117%23 Mar →
inferno13–100.0116%23 Mar →
anubis7–130.0114%23 Mar →
nuke11–13-0.0712%22 Mar →
inferno13–2-0.0313%22 Mar →
mirage8–13-0.0016%22 Mar →
nuke13–50.0228%22 Mar →
dust213–9-0.0018%15 Mar →
mirage6–13-0.0414%25 Feb →
inferno10–13-0.0212%25 Feb →
dust27–13-0.0711%25 Feb →
inferno15–15-0.0417%16 Feb →
ancient13–6-0.0614%16 Feb →
inferno9–13-0.0520%15 Feb →
anubis2–13-0.0916%15 Feb →
ancient6–13-0.0610%13 Feb →
anubis10–13-0.0516%13 Feb →
inferno10–13-0.0412%13 Feb →
ancient6–13-0.118%13 Feb →
mirage8–13-0.0211%11 Feb →
anubis0–7-0.100%7 Feb →
dust28–130.0621%7 Feb →
inferno13–11-0.0516%7 Feb →
mirage2–13-0.074%7 Feb →
dust215–15-0.0417%7 Feb →
nuke8–13-0.0615%7 Feb →
inferno3–80.0214%7 Feb →
dust213–11-0.0022%7 Feb →
overpass10–13-0.0918%7 Feb →
anubis10–13-0.0220%7 Feb →
nuke3–13-0.1015%5 Feb →
anubis7–13-0.0612%5 Feb →
dust24–13-0.0638%5 Feb →
nuke11–13-0.0121%5 Feb →
nuke9–13-0.0329%22 Jan →
nuke13–50.0714%21 Jan →
anubis11–13-0.0621%20 Jan →
anubis13–6-0.0313%20 Jan →
ancient13–6-0.0211%18 Jan →
nuke12–30.0236%18 Jan →
inferno13–7-0.0125%18 Jan →
nuke4–13-0.0814%17 Jan →
nuke13–11-0.0917%12 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 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.