AHHHFOOEY!

AHHHFOOEY! — CS2 Stats

AU76561198294220761[U:1:333955033]Steam profile ↗✓ No bans

2,823Tracked matches39%Win rate2024Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating12,384Blue band · top ~42.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,384 -4,290 22 Sept – 2 Nov · 28 days played
12,38417,277peak 17,27722 Sept2 Nov
17,277Peak Premier in tracked matches
834Highest Faceit ELO seen on CSDB
28Days played since 2026-09-22

Faceit ELO

  • At peak — 834
  • Next: Level 4 at 901 — 67 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 4,893 below peak (17,277)
  • -4,218 over 30 days · declining
  • Next: Purple band at 15,000 — 2,616 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGAHHHFOOEY!PREMIER12,384 · Blue bandPEAK ELO834csdb.gg/stats

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Performance scores

Aim69
Positioning67
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWWLWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 590ms

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 (+0.9 against its own average).

Aim6.9
Utility6.0
Positioning6.7
Opening Duels6.6
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

device

Plays most like device 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 603ms 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

Aim6.9
Positioning6.7
Utility6.0
Mechanics5.9
Opening Duels8.8
Win Impact1.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time596ms+1ms
first ⅓ avg 596ms → last ⅓ avg 596ms
Headshot accuracy22.8%−3.9%
first ⅓ avg 26.7% → 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

0.15Best match rating · 13–4 · anubis, 19 Oct →
56%Best headshot accuracy · 13–2 · dust2, 26 Oct →
398msFastest reaction time · 9–13 · mirage, 26 Sept →
13–1Biggest win · nuke, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.01
dust2C249–1538%-0.00
infernoD155–1033%-0.01
nukeC104–640%-0.01
anubisB105–550%0.01
cacheA85–363%0.00
ancientS64–267%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

108Matches
47%Win rate
0.93Avg K/D
72.0ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2948%1.0015.7
Anubis1850%0.9113.8
Dust21753%0.7512.5
Ancient1771%1.0513.9
Train1127%0.9715.9
Inferno1020%0.8513.2
Nuke425%0.9114.5
Overpass10%0.466.0

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.

22.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
30.3%Spray accuracy
76.4%Counter-strafing
8.1°Preaim
603msReaction time
68.8%T opening success
61.2%CT opening success
0.69Enemies flashed / flash
17.1%Flash assists
9.08HE damage / grenade
10.53Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0113%2 Nov →
dust213–110.0414%2 Nov →
dust27–13-0.0328%2 Nov →
mirage13–80.0811%2 Nov →
dust210–13-0.0315%2 Nov →
inferno11–130.0226%2 Nov →
nuke13–8-0.0134%2 Nov →
inferno10–130.0121%2 Nov →
anubis8–130.0423%2 Nov →
anubis5–130.0022%2 Nov →
dust29–130.0515%1 Nov →
ancient13–60.0122%1 Nov →
cache4–10.0225%1 Nov →
mirage9–13-0.0113%31 Oct →
mirage16–13-0.0221%31 Oct →
inferno8–130.0323%31 Oct →
mirage16–140.0121%31 Oct →
dust22–13-0.0133%31 Oct →
mirage13–60.1124%30 Oct →
cache11–130.0020%28 Oct →
dust215–150.0222%28 Oct →
dust210–13-0.0019%27 Oct →
dust28–13-0.0526%27 Oct →
inferno10–13-0.0625%27 Oct →
inferno5–13-0.0733%27 Oct →
cache13–60.0014%27 Oct →
inferno5–130.0418%27 Oct →
nuke7–130.0842%26 Oct →
inferno15–15-0.0416%26 Oct →
dust213–20.0756%26 Oct →
mirage7–13-0.0223%26 Oct →
nuke13–60.0523%26 Oct →
cache10–13-0.0111%25 Oct →
mirage7–13-0.0425%25 Oct →
cache16–140.0335%25 Oct →
ancient9–13-0.0417%24 Oct →
mirage13–8-0.0323%24 Oct →
mirage13–4-0.0428%24 Oct →
dust210–13-0.048%24 Oct →
anubis9–13-0.0416%24 Oct →
mirage10–13-0.0128%22 Oct →
nuke11–130.0114%22 Oct →
nuke9–13-0.078%22 Oct →
ancient16–13-0.0221%22 Oct →
anubis16–140.0125%21 Oct →
mirage13–110.0619%21 Oct →
dust29–13-0.0118%20 Oct →
inferno15–15-0.0321%20 Oct →
mirage13–16-0.0910%20 Oct →
inferno13–6-0.0118%19 Oct →
dust213–100.0531%19 Oct →
anubis13–20.0118%19 Oct →
dust213–50.0325%19 Oct →
anubis13–40.1536%19 Oct →
ancient13–10-0.0326%19 Oct →
anubis13–9-0.0620%18 Oct →
mirage2–13-0.0323%18 Oct →
mirage9–13-0.0327%18 Oct →
dust213–70.0331%18 Oct →
anubis11–13-0.0522%16 Oct →
anubis13–7-0.0036%16 Oct →
cache13–4-0.0223%16 Oct →
inferno15–150.0017%15 Oct →
dust25–13-0.0218%14 Oct →
nuke7–13-0.0815%14 Oct →
mirage8–130.0523%13 Oct →
dust213–3-0.0227%13 Oct →
mirage11–13-0.0028%12 Oct →
mirage4–13-0.0519%12 Oct →
ancient4–13-0.0220%12 Oct →
nuke13–90.0344%12 Oct →
dust213–11-0.0422%11 Oct →
mirage13–110.0323%11 Oct →
cache13–100.0025%11 Oct →
dust26–130.0129%11 Oct →
dust23–13-0.0617%11 Oct →
nuke6–13-0.0119%10 Oct →
cache12–16-0.0017%9 Oct →
inferno13–30.0224%9 Oct →
inferno13–80.0433%9 Oct →
dust27–13-0.0928%9 Oct →
nuke14–16-0.0728%8 Oct →
anubis6–13-0.0131%8 Oct →
ancient13–80.0420%8 Oct →
dust22–13-0.0819%8 Oct →
mirage15–15-0.0524%27 Sept →
mirage5–13-0.0239%27 Sept →
mirage13–9-0.0839%26 Sept →
inferno13–9-0.0212%26 Sept →
mirage9–13-0.0023%26 Sept →
dust26–130.0024%26 Sept →
nuke13–1-0.0422%26 Sept →
dust213–50.0153%25 Sept →
inferno7–13-0.0836%25 Sept →
mirage13–50.0419%25 Sept →
mirage15–15-0.0324%23 Sept →
mirage5–13-0.0642%23 Sept →
dust213–60.0729%22 Sept →
mirage7–130.1225%22 Sept →
inferno13–11-0.0223%22 Sept →

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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