aFE

aFE — CS2 Stats

FI76561198195841286[U:1:235575558]Steam profile ↗✓ No bans

418Tracked matches48%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 418 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,807 +2,437 22 Mar – 26 Jun · 7 days played
24,37026,807peak 26,80722 Mar26 Jun
26,807Peak Premier in tracked matches
1,974Highest Faceit ELO seen on CSDB
49Days played since 2026-01-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGaFEPEAK ELO1,974csdb.gg/stats

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Performance scores

Aim74
Positioning35
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY62–31–7Last 10062%Win rateWLLTLLLWWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −0.1pp headshot accuracy · −21ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 666ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

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 (+3.5 against its own average).

Aim7.4
Utility7.1
Positioning3.5
Opening Duels0.0
Clutch3.8

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 70% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Reaction time. 568ms 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

Aim7.4
Positioning3.5
Utility7.1
Mechanics5.8
Opening Duels0.0
Win Impact4.4

Composite 5.3/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time593ms+3ms
first ⅓ avg 590ms → last ⅓ avg 593ms
Headshot accuracy20.1%+3.1%
first ⅓ avg 16.9% → last ⅓ avg 20.1%

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

0.14Best match rating · 13–2 · mirage, 22 Mar →
50%Best headshot accuracy · 0–2 · train, 13 Aug →
359msFastest reaction time · 8–13 · nuke, 8 Apr →
13–0Biggest win · mirage, 7 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–8In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 89% over 9cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2819–968%0.02
anubisS107–370%-0.00
nukeS107–370%0.01
vertigoS98–189%0.02
dust2D82–625%-0.01
ancientS64–267%-0.01
cacheD61–517%-0.01
officeB63–350%-0.01
infernoC52–340%0.01
overpass—43–175%0.01
alpine—32–167%0.03
train—21–150%-0.01
italy—22–0100%0.05
sanctum—11–0100%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

525Matches
57%Win rate
1.20Avg K/D
69.9ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2646%1.0812.2
Nuke862%1.2513.9
Dust2520%0.8713.2
Ancient540%1.0914.0
Overpass560%0.7812.2
Train367%1.1213.3
Anubis20%1.1617.5
Inferno10%1.3225.0

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.

18.9%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.1%Spray accuracy
75.9%Counter-strafing
10.0°Preaim
568msReaction time
28.6%T opening success
22.7%CT opening success
0.67Enemies flashed / flash
8.2%Flash assists
8.75HE damage / grenade
20.52Flashes / 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

    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 28.5845% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0618%17 Sept →
mirage0–4-0.0420%13 Aug →
train0–2-0.0250%13 Aug →
cache12–12-0.0117%13 Aug →
cache0–3-0.030%6 Jul →
anubis3–13-0.0416%5 Jul →
mirage0–13-0.0120%5 Jul →
mirage13–11-0.0318%26 Jun →
nuke13–60.0116%26 Jun →
ancient13–50.0323%26 Jun →
ancient11–13-0.018%10 Jun →
mirage3–13-0.0617%10 Jun →
mirage11–130.0415%7 Jun →
cache6–130.0210%7 Jun →
vertigo13–60.0225%5 Jun →
vertigo8–00.0633%5 Jun →
cache13–5-0.0223%7 May →
ancient12–120.0120%29 Apr →
vertigo5–00.0225%29 Apr →
cache9–13-0.0324%29 Apr →
cache10–13-0.0219%29 Apr →
alpine8–13-0.0226%14 Apr →
dust212–12-0.0014%13 Apr →
nuke5–13-0.0717%13 Apr →
mirage13–90.0320%10 Apr →
mirage13–110.0111%10 Apr →
nuke8–13-0.068%8 Apr →
ancient13–60.0038%8 Apr →
mirage13–80.0523%8 Apr →
vertigo13–80.0525%7 Apr →
nuke13–40.0111%30 Mar →
anubis13–1-0.0140%30 Mar →
mirage13–80.0512%25 Mar →
mirage8–130.0114%23 Mar →
mirage9–00.0938%23 Mar →
overpass13–3-0.0215%22 Mar →
mirage13–20.1412%22 Mar →
mirage13–40.1114%22 Mar →
inferno8–8-0.012%18 Mar →
dust211–13-0.0113%8 Mar →
mirage13–00.0822%7 Mar →
inferno13–7-0.0020%6 Mar →
vertigo13–00.0513%6 Mar →
anubis12–120.0216%6 Mar →
nuke13–20.0524%6 Mar →
mirage9–13-0.0527%6 Mar →
mirage13–70.0819%6 Mar →
anubis13–0-0.0211%4 Mar →
vertigo13–30.0313%4 Mar →
overpass12–12-0.0221%2 Mar →
ancient10–4-0.0233%2 Mar →
office0–2-0.090%2 Mar →
mirage13–100.0013%2 Mar →
anubis13–6-0.0315%1 Mar →
nuke13–70.0524%1 Mar →
inferno13–90.0413%1 Mar →
overpass8–20.0230%27 Feb →
mirage10–13-0.0324%27 Feb →
office13–100.0416%27 Feb →
train13–6-0.0113%25 Feb →
mirage13–5-0.0016%24 Feb →
alpine13–50.0014%23 Feb →
anubis13–60.0018%23 Feb →
mirage8–13-0.0418%22 Feb →
mirage8–13-0.0415%17 Feb →
sanctum9–20.1137%16 Feb →
mirage13–40.0926%16 Feb →
nuke13–20.0719%16 Feb →
overpass13–40.0423%15 Feb →
anubis0–13-0.028%15 Feb →
nuke13–60.0225%15 Feb →
anubis13–30.0413%14 Feb →
vertigo8–40.0125%14 Feb →
inferno11–130.0314%12 Feb →
vertigo13–9-0.0517%11 Feb →
vertigo11–13-0.0315%11 Feb →
dust28–13-0.0220%8 Feb →
anubis13–00.079%8 Feb →
dust213–8-0.0216%8 Feb →
mirage13–90.0322%7 Feb →
nuke8–13-0.0519%7 Feb →
italy13–20.0818%6 Feb →
alpine13–30.1023%3 Feb →
dust27–13-0.0113%3 Feb →
mirage13–50.0028%30 Jan →
italy13–110.0115%30 Jan →
dust28–13-0.0311%30 Jan →
mirage13–50.0315%28 Jan →
mirage13–60.0318%27 Jan →
office11–13-0.0611%21 Jan →
office10–13-0.0113%21 Jan →
inferno10–13-0.0215%18 Jan →
dust212–12-0.0123%16 Jan →
mirage13–40.0217%11 Jan →
dust27–30.0521%11 Jan →
office13–100.0818%11 Jan →
office13–110.0120%11 Jan →
nuke13–50.0316%11 Jan →
anubis13–8-0.0312%11 Jan →
mirage12–1-0.0610%9 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 →

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