A$AP Kirky

A$AP Kirky — CS2 Stats

FI76561198330428475[U:1:370162747]Steam profile ↗✓ No bans

822Tracked matches54%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,682 +2,451 10 Jun – 1 Jul · 9 days played
12,23114,682peak 14,68210 Jun1 Jul
14,682Peak Premier in tracked matches
51Days played since 2025-05-20

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

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CSDB.GGA$AP KirkyFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning62
Utility33

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLLLLWTLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.3pp headshot accuracy · +10ms reaction

Win rate down 20pp 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 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 482ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 503ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 498ms

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 (+2.3 against its own average).

Aim7.8
Utility3.3
Positioning6.2
Opening Duels2.2

Limited 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

iM

Plays most like iM 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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

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 53% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning6.2
Utility3.3
Mechanics6.8
Opening Duels3.7
Win Impact6.3

Composite 6.1/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time507ms−109ms
first ⅓ avg 616ms → last ⅓ avg 507ms
Headshot accuracy18.2%−5.8%
first ⅓ avg 23.9% → last ⅓ avg 18.2%

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

0.12Best match rating · 13–7 · nuke, 21 May →
75%Best headshot accuracy · 4–1 · mirage, 7 Nov →
344msFastest reaction time · 13–0 · vertigo, 27 Sept →
13–0Biggest win · vertigo, 27 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 69% over 13dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
officeC3112–1939%0.02
dust2D154–1127%-0.00
mirageS139–469%0.03
cacheS64–267%-0.01
ancientC52–340%0.04
nukeA53–260%0.02
overpassC52–340%0.01
vertigo—43–175%0.04
italy—31–233%0.02
train—32–167%0.01
shelter—21–150%-0.04
boulder—21–150%0.04
alpine—21–150%-0.00
fachwerk—11–0100%0.03
inferno—10–10%-0.04
jura—11–0100%0.11
anubis—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,387Matches
50%Win rate
1.14Avg K/D
—ADR
49%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

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
31.9%Accuracy (enemy spotted)
41.1%Spray accuracy
80.4%Counter-strafing
9.8°Preaim
491msReaction time
53.3%T opening success
36.1%CT opening success
0.35Enemies flashed / flash
8.9%Flash assists
9.05HE damage / grenade
4.21Flashes / 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 0.3463 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 36.1345% — 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.

27% win rate across 15 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
shelter8–13-0.0622%23 Oct →
office7–13-0.0726%23 Oct →
italy7–130.097%23 Oct →
cache8–130.0219%23 Oct →
office10–130.0533%20 Oct →
shelter13–2-0.0232%19 Oct →
office12–12-0.0319%15 Oct →
ancient8–130.0419%15 Oct →
boulder13–90.0415%13 Oct →
fachwerk13–50.0317%13 Oct →
office13–90.0516%13 Oct →
office9–13-0.0219%9 Oct →
office13–30.0722%9 Oct →
nuke7–130.0114%8 Oct →
office13–100.0619%8 Oct →
cache13–90.038%6 Oct →
italy13–5-0.0523%6 Oct →
office11–130.1230%6 Oct →
office11–13-0.0415%29 Sept →
overpass2–13-0.0610%28 Sept →
mirage13–60.1224%28 Sept →
office13–80.0315%28 Sept →
office0–13-0.0429%28 Sept →
overpass13–100.0110%27 Sept →
dust212–12-0.0111%27 Sept →
cache12–12-0.017%27 Sept →
office13–100.0726%27 Sept →
vertigo13–00.0818%27 Sept →
overpass12–120.0427%27 Sept →
cache13–6-0.019%27 Sept →
office8–13-0.0214%27 Sept →
cache13–9-0.0616%25 Sept →
boulder8–130.059%19 Sept →
office13–50.0515%19 Sept →
cache13–3-0.0245%18 Sept →
overpass12–120.0413%18 Sept →
mirage8–130.0619%18 Sept →
vertigo11–13-0.0313%9 Mar →
alpine5–13-0.079%12 Feb →
alpine13–110.0722%6 Feb →
overpass13–50.0239%15 Jan →
nuke13–100.0523%15 Jan →
office13–10.0828%15 Jan →
office12–120.0119%14 Jan →
mirage13–60.0729%14 Jan →
mirage12–12-0.0014%2 Jan →
office7–13-0.0521%2 Jan →
train13–90.0123%1 Jan →
office13–110.0630%1 Jan →
dust29–13-0.0427%17 Dec →
office10–130.0236%17 Dec →
italy4–130.0026%5 Dec →
office12–120.0433%5 Dec →
dust29–13-0.0219%29 Nov →
office10–130.1225%21 Nov →
dust211–13-0.0424%21 Nov →
inferno10–13-0.0415%8 Nov →
nuke8–13-0.0730%8 Nov →
mirage13–50.0117%7 Nov →
mirage4–10.0275%7 Nov →
dust213–10.0821%7 Nov →
office13–60.0516%7 Nov →
ancient5–130.0521%7 Nov →
train13–40.0220%7 Nov →
mirage13–110.0927%5 Nov →
dust213–40.0117%5 Nov →
train3–130.0128%29 Oct →
dust26–130.0735%29 Oct →
mirage13–30.0324%26 Oct →
vertigo13–10.010%26 Oct →
nuke13–70.0117%23 Oct →
mirage3–13-0.0013%23 Oct →
office10–13-0.0213%23 Oct →
mirage13–30.0320%20 Oct →
office13–70.0128%14 Sept →
office5–12-0.0129%14 Sept →
dust213–110.0425%12 Sept →
ancient13–80.0725%1 Jul →
dust27–130.0129%27 Jun →
mirage4–13-0.0524%27 Jun →
dust26–13-0.0434%25 Jun →
dust29–13-0.0120%20 Jun →
ancient11–13-0.0115%19 Jun →
mirage13–40.0329%18 Jun →
dust26–130.0317%17 Jun →
ancient13–80.0330%16 Jun →
mirage13–70.0114%13 Jun →
office5–100.0118%13 Jun →
dust211–13-0.0315%12 Jun →
dust213–4-0.0221%11 Jun →
dust22–13-0.0721%10 Jun →
office5–13-0.0143%2 Jun →
office13–0-0.0020%2 Jun →
jura13–70.1122%24 May →
anubis13–110.0729%24 May →
office9–130.0955%23 May →
nuke13–70.1220%21 May →
office9–13-0.0330%21 May →
vertigo13–90.0922%20 May →
office13–50.0235%20 May →

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 →

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