AxL

AxL — CS2 Stats

76561198024509769[U:1:64244041]Steam profile ↗✓ No bans

706Tracked matches30%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 706
0.0ppWin rate · 30.0% → 30.0%

Rating over time

63Days played since 2025-05-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGAxLFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning53
Utility64

0–100 skill scores via Leetify.

Recent form

COLD50–50Last 10050%Win rateWLLLLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · −2ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 535ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

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).

Aim7.6
Utility6.4
Positioning5.3
Opening Duels3.6
Clutch1.8

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.3
Utility6.4
Mechanics6.0
Opening Duels3.1
Win Impact0.0

Composite 5.5/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time547ms−65ms
first ⅓ avg 612ms → last ⅓ avg 547ms
Headshot accuracy15.3%+0.8%
first ⅓ avg 14.5% → last ⅓ avg 15.3%

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

0.14Best match rating · 13–5 · ancient, 27 Sept →
40%Best headshot accuracy · 5–13 · cache, 8 Aug →
367msFastest reaction time · 11–13 · vertigo, 29 Aug →
13–2Biggest win · cache, 27 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientD155–1033%0.02
cacheC146–843%0.01
mirageD134–931%0.00
nukeS139–469%0.01
infernoS139–469%0.03
dust2B105–550%0.02
overpassB84–450%-0.01
trainA53–260%0.02
anubis—42–250%-0.01
cache_b—43–175%0.04
vertigo—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

528Matches
55%Win rate
1.22Avg K/D
76.9ADR
31%Headshot %

Clutches & streaks

29%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno862%1.0515.1
Mirage475%0.7512.8
Nuke450%0.9119.8
Train367%0.9913.3
Anubis333%0.9515.3
Dust23100%1.8217.3
Ancient20%0.8213.5
Vertigo10%0.274.0

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.

14.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
41.9%Spray accuracy
77.1%Counter-strafing
9.1°Preaim
541msReaction time
35.2%T opening success
49.4%CT opening success
0.52Enemies flashed / flash
6.4%Flash assists
9.95HE damage / grenade
9.63Flashes / 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 14.9309% — below the 15% mark we flag

    Aim Training →
  2. 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 35.23% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1414%27 Sept →
ancient8–13-0.0010%22 Sept →
overpass9–13-0.0320%22 Sept →
mirage7–13-0.0012%18 Sept →
dust26–130.0715%15 Sept →
dust24–13-0.038%15 Sept →
train10–130.0213%15 Sept →
nuke13–110.0514%9 Sept →
overpass8–13-0.0517%9 Sept →
inferno13–10-0.0316%8 Sept →
cache16–130.0013%8 Sept →
ancient4–13-0.0320%8 Sept →
mirage13–100.0112%8 Sept →
ancient13–160.0413%7 Sept →
anubis13–100.0715%4 Sept →
ancient8–13-0.0210%4 Sept →
dust29–130.0717%29 Aug →
vertigo11–130.0114%29 Aug →
cache14–160.0116%29 Aug →
inferno13–70.0715%29 Aug →
mirage11–110.0916%29 Aug →
inferno11–13-0.0010%29 Aug →
nuke13–6-0.0318%27 Aug →
nuke6–13-0.0414%26 Aug →
cache14–16-0.0115%26 Aug →
inferno13–80.0517%26 Aug →
mirage9–130.0116%21 Aug →
cache9–130.0313%16 Aug →
overpass4–13-0.038%8 Aug →
cache5–13-0.0540%8 Aug →
ancient21–250.0311%5 Aug →
inferno11–13-0.0026%5 Aug →
cache19–160.0216%5 Aug →
anubis3–13-0.1017%4 Aug →
dust213–110.0112%3 Aug →
train13–9-0.0516%3 Aug →
overpass13–80.049%3 Aug →
train13–80.1215%2 Aug →
anubis13–9-0.0319%2 Aug →
cache6–130.0121%2 Aug →
mirage13–10-0.069%1 Aug →
inferno13–40.0819%30 Jul →
cache16–130.0118%21 Jul →
inferno13–50.0211%6 Jul →
cache11–13-0.0112%6 Jul →
ancient13–11-0.0013%6 Jul →
overpass5–13-0.0119%5 Jul →
cache13–60.0614%1 Jul →
nuke13–4-0.0012%30 Jun →
dust20–9-0.0827%29 Jun →
ancient13–40.1216%28 Jun →
cache8–130.0625%28 Jun →
inferno6–13-0.006%27 Jun →
cache13–20.0327%27 Jun →
cache16–14-0.0210%18 Jun →
ancient5–13-0.0417%31 May →
nuke3–13-0.0318%17 May →
cache7–13-0.0310%17 May →
inferno13–110.0711%17 May →
inferno13–70.029%15 May →
ancient8–130.029%19 Apr →
cache_b16–140.0514%21 Mar →
cache_b16–130.0525%15 Mar →
inferno16–140.057%1 Mar →
overpass19–15-0.0211%26 Feb →
nuke11–13-0.0118%25 Feb →
inferno13–50.1219%17 Feb →
nuke13–50.0926%5 Jan →
mirage10–13-0.029%3 Jan →
ancient11–130.0014%3 Jan →
nuke9–70.129%27 Dec →
mirage7–13-0.0110%21 Dec →
train5–13-0.0517%20 Dec →
mirage2–13-0.0319%12 Dec →
dust28–130.029%4 Dec →
dust213–6-0.0415%30 Nov →
dust213–50.0513%29 Nov →
anubis9–130.0020%23 Nov →
nuke13–100.0325%23 Nov →
cache_b8–13-0.0111%23 Nov →
cache_b13–90.0619%22 Nov →
mirage11–13-0.0211%8 Nov →
ancient6–13-0.0514%8 Nov →
mirage13–11-0.0021%7 Nov →
nuke13–70.0113%7 Nov →
ancient13–100.058%5 Nov →
dust213–40.1224%5 Nov →
mirage10–130.0520%4 Nov →
overpass6–2-0.0517%1 Nov →
ancient13–100.0114%1 Nov →
train13–80.049%1 Nov →
dust216–140.0313%5 Oct →
nuke19–17-0.0012%24 Aug →
mirage9–13-0.0212%23 Aug →
overpass13–80.0221%21 Aug →
ancient11–13-0.0116%30 Jul →
mirage13–5-0.0119%30 Jul →
nuke16–19-0.0310%5 Jul →
nuke13–8-0.023%5 Jun →
inferno3–13-0.019%31 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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