Aim☆ vaxe

Aim☆ vaxe — CS2 Stats

FO76561199851903939[U:1:1891638211]Steam profile ↗✓ No bans

1,964Tracked matches33%Win rate2025Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,399 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,399 → 2,399
+315Tracked matches · now 1,964
−10.0ppWin rate · 43.3% → 33.3%

Rating over time

Faceit ELO: 2,399 +0 2 Sept – 3 Sept · 2 observations
2,3992,399peak 2,3992 Sept3 Sept
2,399Highest Faceit ELO seen on CSDB
71Days played since 2026-06-22

Faceit ELO

  • At peak — 2,399
  • Next: 2,500 ELO at 2,500 — 101 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGAim☆ vaxeFACEITLevel 10 · 2,399 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,399csdb.gg/stats

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Performance scores

Aim80
Positioning70
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateLLWWLLLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.9pp headshot accuracy · −6ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 505ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 529ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 532ms

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 against its own average).

Aim8.0
Utility6.1
Positioning7.0
Opening Duels3.6
Clutch3.4

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 90% playstyle similarity

Most alike: positioning profile, 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. 61% T opening-duel success — entries that actually open the round.

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

Aim8.0
Positioning7.0
Utility6.1
Mechanics7.3
Opening Duels6.2
Win Impact0.0

Composite 6.4/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time545ms−4ms
first ⅓ avg 549ms → last ⅓ avg 545ms
Headshot accuracy22.8%+0.1%
first ⅓ avg 22.6% → last ⅓ avg 22.8%

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

0.11Best match rating · 13–4 · ancient, 8 Oct →
44%Best headshot accuracy · 0–13 · dust2, 28 Oct →
375msFastest reaction time · 5–13 · nuke, 12 Oct →
13–1Biggest win · ancient, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
21Overtime games

Map breakdown

ancientBest map · 52% over 21dust2Weakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%0.01
ancientB2111–1052%0.03
nukeB157–847%-0.01
anubisB136–746%0.01
dust2D101–910%-0.03
infernoD62–433%-0.03
vertigo—31–233%-0.00
cache—20–20%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,403Matches
50%Win rate
1.14Avg K/D
84.6ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage81149%1.1317.7
Ancient53456%1.2417.7
Nuke30751%1.0916.8
Dust226847%1.1517.4
Anubis20850%1.1217.4
Inferno12541%0.9915.2
Train6245%1.1016.3
Overpass4245%0.9816.5

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.

23.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.0%Spray accuracy
83.0%Counter-strafing
11.0°Preaim
529msReaction time
61.3%T opening success
48.1%CT opening success
0.57Enemies flashed / flash
13.5%Flash assists
7.47HE damage / grenade
8.86Flashes / match

Recommended for you

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.

10% win rate across 10 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
cache3–130.0221%1 Nov →
cache4–13-0.0326%31 Oct →
nuke19–15-0.0216%31 Oct →
nuke13–80.0825%28 Oct →
dust20–13-0.0944%28 Oct →
ancient6–13-0.0114%27 Oct →
mirage12–16-0.0421%24 Oct →
mirage13–40.0333%23 Oct →
mirage13–90.0621%22 Oct →
mirage8–13-0.0331%20 Oct →
ancient13–100.0633%19 Oct →
anubis14–16-0.0324%17 Oct →
nuke8–13-0.0116%16 Oct →
ancient13–90.0514%16 Oct →
dust28–13-0.0631%14 Oct →
ancient8–13-0.0510%14 Oct →
inferno8–13-0.0327%13 Oct →
nuke5–130.0230%12 Oct →
anubis11–13-0.0117%11 Oct →
dust214–16-0.0122%10 Oct →
anubis13–160.0120%9 Oct →
ancient13–40.1127%8 Oct →
nuke16–120.0218%7 Oct →
ancient9–13-0.0122%6 Oct →
anubis15–190.0223%3 Oct →
inferno13–90.0024%1 Oct →
mirage7–13-0.0427%30 Sept →
ancient4–13-0.0326%28 Sept →
ancient13–10.0125%26 Sept →
nuke5–130.0221%24 Sept →
ancient10–130.0717%24 Sept →
nuke3–13-0.070%24 Sept →
mirage5–130.0320%23 Sept →
nuke1–13-0.104%23 Sept →
ancient13–80.0315%23 Sept →
dust211–13-0.0429%20 Sept →
mirage13–16-0.0125%19 Sept →
mirage6–13-0.0029%16 Sept →
ancient20–220.0117%15 Sept →
dust25–13-0.1128%12 Sept →
nuke13–90.0019%12 Sept →
mirage12–16-0.0525%12 Sept →
ancient13–90.0531%12 Sept →
mirage13–4-0.0417%12 Sept →
mirage8–130.0113%12 Sept →
ancient13–40.0316%11 Sept →
mirage16–130.0235%10 Sept →
anubis14–16-0.0416%9 Sept →
dust28–130.0123%9 Sept →
inferno6–13-0.0935%8 Sept →
ancient13–80.0527%7 Sept →
anubis13–11-0.0317%7 Sept →
nuke13–9-0.0127%3 Sept →
mirage13–80.0128%3 Sept →
dust216–130.0234%3 Sept →
nuke6–13-0.0723%2 Sept →
mirage7–130.0625%1 Sept →
ancient10–130.0522%30 Aug →
anubis16–120.0414%30 Aug →
nuke13–40.0224%30 Aug →
mirage13–30.0514%30 Aug →
anubis8–13-0.0529%29 Aug →
vertigo8–13-0.0526%28 Aug →
anubis22–200.0730%27 Aug →
nuke13–10-0.0110%20 Aug →
nuke16–19-0.0222%19 Aug →
mirage13–110.0015%18 Aug →
mirage6–13-0.0621%18 Aug →
ancient14–160.0212%18 Aug →
ancient13–40.0833%15 Aug →
vertigo19–170.0525%15 Aug →
inferno13–10-0.0331%14 Aug →
mirage13–9-0.0130%14 Aug →
mirage10–130.0424%12 Aug →
vertigo7–13-0.0128%12 Aug →
ancient13–2-0.0114%10 Aug →
mirage13–80.0216%8 Aug →
dust26–130.0639%7 Aug →
anubis16–130.0414%7 Aug →
ancient9–130.059%6 Aug →
mirage10–13-0.0222%4 Aug →
mirage10–130.0116%3 Aug →
mirage4–130.0010%2 Aug →
anubis13–80.1127%1 Aug →
dust28–13-0.0520%1 Aug →
mirage13–50.017%31 Jul →
anubis9–130.0322%30 Jul →
mirage11–130.0416%28 Jul →
mirage10–130.0017%26 Jul →
inferno9–130.0228%9 Jul →
ancient16–120.0121%8 Jul →
dust29–13-0.0141%5 Jul →
ancient10–13-0.0330%1 Jul →
mirage14–16-0.0528%29 Jun →
nuke7–130.0126%28 Jun →
anubis13–110.0416%28 Jun →
inferno1–13-0.0529%28 Jun →
mirage13–20.0625%27 Jun →
mirage13–110.0626%26 Jun →
mirage13–80.1024%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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