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AE

AE — CS2 Stats

CA76561198131587383[U:1:171321655]Steam profile ↗VAC banned

1,367Tracked matches52%Win rate2021Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating16,975Purple band · top ~20.5% of ranked players (population est.)
CSDB Leaderboard#125635 of 260013 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAEFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,975 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–43–12Last 10045%Win rateLTTWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +4.2pp headshot accuracy · −73ms reaction

Win rate up 30pp 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

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 (+1.3 against its own average).

Aim5.3
Utility6.0
Positioning5.6
Opening Duels2.2
Clutch5.0

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 615ms 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

Aim5.3
Positioning5.6
Utility6.0
Mechanics5.6
Opening Duels3.4
Win Impact5.6

Composite 5.4/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time622ms−78ms
first ⅓ avg 700ms → last ⅓ avg 622ms
Headshot accuracy18.1%+0.5%
first ⅓ avg 17.6% → last ⅓ avg 18.1%

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 · 13–9 · dust2, 25 Jun →
46%Best headshot accuracy · 10–13 · dust2, 6 Aug →
438msFastest reaction time · 7–1 · dust2, 27 Aug →
13–2Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 4 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2B9744–5345%-0.00
cache—10–10%0.01
overpass—10–10%-0.06
inferno—11–0100%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

129Matches
51%Win rate
0.95Avg K/D
74.2ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3135%0.9312.6
Ancient2646%0.9915.2
Anubis2162%0.9913.9
Inferno1662%0.7211.7
Vertigo1354%0.8611.8
Nuke1060%0.8211.9
Dust2956%1.0815.2
Overpass367%2.2717.0

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.

17.3%Headshot accuracy
28.9%Accuracy (enemy spotted)
31.0%Spray accuracy
75.2%Counter-strafing
8.6°Preaim
615msReaction time
41.9%T opening success
45.5%CT opening success
0.63Enemies flashed / flash
5.5%Flash assists
7.22HE damage / grenade
16.21Flashes / match

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0414%1 Nov →
cache12–120.0115%31 Oct →
dust212–120.0327%31 Oct →
dust213–50.0611%31 Oct →
dust213–5-0.0218%28 Oct →
dust213–110.0418%28 Oct →
dust213–40.0331%27 Oct →
dust213–11-0.0020%27 Oct →
dust29–130.0115%26 Oct →
dust213–90.0619%26 Oct →
dust24–13-0.0729%24 Oct →
dust26–13-0.0119%24 Oct →
dust22–13-0.0510%24 Oct →
dust213–60.0917%15 Oct →
dust29–13-0.103%15 Oct →
dust21–13-0.0417%15 Oct →
dust213–6-0.0615%14 Oct →
dust29–13-0.0510%13 Oct →
dust23–13-0.0314%12 Oct →
dust213–60.0412%8 Oct →
dust211–13-0.0613%6 Oct →
dust212–120.0022%4 Oct →
dust213–100.0118%4 Oct →
dust213–11-0.0312%4 Oct →
dust213–6-0.0529%4 Oct →
dust210–13-0.0713%1 Oct →
dust28–130.0321%1 Oct →
dust213–10-0.0219%1 Oct →
dust213–11-0.0715%28 Sept →
dust28–13-0.0122%27 Sept →
dust213–7-0.0222%25 Sept →
overpass12–12-0.0620%25 Sept →
dust22–13-0.0433%24 Sept →
dust212–12-0.0223%16 Sept →
dust213–10-0.0124%13 Sept →
dust212–12-0.0215%12 Sept →
dust212–120.0215%12 Sept →
dust213–20.0633%11 Sept →
dust213–100.0325%10 Sept →
dust210–13-0.1013%1 Sept →
dust29–130.0714%30 Aug →
dust21–13-0.0526%30 Aug →
dust28–130.0139%29 Aug →
dust23–13-0.0830%29 Aug →
dust213–80.0124%29 Aug →
dust213–100.0032%29 Aug →
dust211–13-0.0523%28 Aug →
dust213–70.0118%28 Aug →
dust27–1-0.0527%27 Aug →
dust213–100.0022%25 Aug →
dust27–13-0.0622%9 Aug →
dust24–13-0.0435%9 Aug →
dust24–130.0322%8 Aug →
dust213–80.1114%7 Aug →
dust210–130.0446%6 Aug →
dust213–7-0.0531%30 Jul →
dust213–6-0.0321%29 Jul →
dust211–13-0.0235%28 Jul →
dust213–9-0.0026%27 Jul →
dust26–13-0.0915%15 Jul →
dust212–12-0.0423%12 Jul →
dust213–30.0125%12 Jul →
dust213–60.0724%10 Jul →
dust213–8-0.0617%9 Jul →
dust213–70.0719%8 Jul →
dust213–110.0410%7 Jul →
dust211–13-0.0223%7 Jul →
dust212–120.0822%6 Jul →
dust213–100.0716%5 Jul →
dust213–90.1221%25 Jun →
dust212–12-0.0122%24 Jun →
dust29–130.0524%24 Jun →
inferno13–11-0.0613%24 Jun →
dust210–130.0120%24 Jun →
dust213–100.0818%22 Jun →
dust25–13-0.0210%21 Jun →
dust23–13-0.0130%21 Jun →
dust27–130.0319%21 Jun →
dust213–30.0714%17 Jun →
dust212–120.0016%15 Jun →
dust27–13-0.0622%10 Jun →
dust213–80.0514%9 Jun →
dust213–100.0132%9 Jun →
dust213–7-0.0314%8 Jun →
dust210–130.0227%4 Jun →
dust210–130.0122%3 Jun →
dust211–13-0.0117%2 Jun →
dust29–13-0.0221%2 Jun →
dust213–9-0.0112%2 Jun →
dust213–110.0519%1 Jun →
dust213–7-0.108%1 Jun →
dust27–13-0.0712%1 Jun →
dust25–130.0623%1 Jun →
dust212–12-0.0315%1 Jun →
dust213–70.0518%31 May →
dust23–13-0.077%31 May →
dust213–90.0114%31 May →
dust29–130.0118%30 May →
dust29–130.0211%27 May →
dust22–13-0.0511%27 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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