afufufu

afufufu — CS2 Stats

76561197960703682[U:1:437954]Steam profile ↗✓ No bans

283Tracked matches68%Win rate2023Tracked since
CSDB Rating5.8 SolidOpening Duellist
Premier CS Rating16,774Purple band · top ~21.3% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Feb 2024 (979 days ago). 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: 16,774 -106 25 Feb – 26 Feb · 2 days played
16,77416,880peak 16,88025 Feb26 Feb
16,880Peak Premier in tracked matches
55Days played since 2023-06-17

Premier CS Rating

  • 106 below peak (16,880)
  • Next: Pink band at 20,000 — 3,226 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.GGafufufuPREMIER16,774 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning51
Utility13

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateWWLLWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · +18ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 644ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 625ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.5
Utility1.3
Positioning5.1
Opening Duels6.1
Clutch0.0

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

donk

Plays most like donk 78% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 1% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim7.5
Positioning5.1
Utility1.3
Mechanics7.1
Opening Duels2.7
Win Impact10.0

Composite 5.8/10 (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 rating0.02+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time614ms+40ms
first ⅓ avg 574ms → last ⅓ avg 614ms
Headshot accuracy26.0%+7.1%
first ⅓ avg 18.9% → last ⅓ avg 26.0%

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 · 9–6 · inferno, 13 Dec →
42%Best headshot accuracy · 13–11 · nuke, 17 Jan →
406msFastest reaction time · 16–13 · inferno, 1 Jul →
13–1Biggest win · mirage, 25 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–10In matches decided by ≤2 rounds
68Overtime games

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA3623–1364%-0.00
nukeC177–1041%0.00
overpassC146–843%-0.00
vertigoB115–645%-0.01
mirageC83–538%0.01
dust2S75–271%0.01
anubis—42–250%-0.02
ancient—32–167%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

309Matches
51%Win rate
1.09Avg K/D
68.1ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis20%0.7010.5
Vertigo250%0.8212.0
Nuke10%0.8814.0
Inferno1100%0.6911.0

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.

26.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.1%Spray accuracy
82.0%Counter-strafing
10.7°Preaim
625msReaction time
1.2%T opening success
51.7%CT opening success
0.44Enemies flashed / flash
1.4%Flash assists
8.10HE damage / grenade
7.46Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4425 — below the 0.5 mark we flag

    Grenade Lineups →
  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 1.1722% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0713%28 Jul →
inferno9–60.1224%13 Dec →
inferno2–9-0.1218%4 Dec →
vertigo10–13-0.0227%26 Feb →
mirage13–9-0.0435%25 Feb →
mirage13–10.0617%25 Feb →
vertigo6–130.0330%27 Jan →
inferno13–80.0922%27 Jan →
nuke13–11-0.0442%17 Jan →
ancient13–9-0.0234%15 Jan →
mirage7–130.0224%12 Jan →
vertigo9–13-0.0816%10 Jan →
inferno13–50.0128%10 Jan →
nuke9–13-0.0039%9 Jan →
vertigo15–150.0528%8 Jan →
nuke13–100.0331%8 Jan →
nuke13–50.0627%7 Jan →
inferno13–50.0028%7 Jan →
nuke16–130.0924%15 Sept →
inferno15–15-0.0117%9 Sept →
inferno13–100.0223%7 Sept →
ancient13–80.0624%7 Sept →
nuke13–70.0320%7 Sept →
nuke11–130.0223%7 Sept →
overpass11–130.0326%6 Sept →
vertigo13–30.0426%5 Sept →
mirage13–60.1025%5 Sept →
nuke9–130.0123%4 Sept →
inferno13–110.0933%3 Sept →
inferno16–130.0125%2 Sept →
nuke13–30.1241%2 Sept →
mirage5–13-0.0228%2 Sept →
inferno9–7-0.0116%1 Sept →
inferno0–9-0.130%1 Sept →
inferno9–6-0.0412%28 Jul →
overpass1–40.0333%27 Jul →
anubis16–130.0220%26 Jul →
inferno16–90.0111%25 Jul →
dust219–160.0311%25 Jul →
overpass16–14-0.0120%24 Jul →
inferno8–16-0.0723%24 Jul →
overpass16–130.0118%24 Jul →
dust216–90.0816%23 Jul →
nuke13–16-0.0314%22 Jul →
inferno16–6-0.0315%22 Jul →
inferno16–110.0220%21 Jul →
mirage11–160.029%21 Jul →
inferno16–110.0938%20 Jul →
overpass5–160.0437%20 Jul →
vertigo16–14-0.0219%20 Jul →
mirage14–16-0.0216%19 Jul →
nuke11–16-0.0215%19 Jul →
vertigo16–6-0.0211%18 Jul →
vertigo11–16-0.0120%18 Jul →
nuke11–16-0.0120%18 Jul →
inferno12–16-0.0214%17 Jul →
dust216–50.0322%17 Jul →
overpass14–16-0.0529%16 Jul →
dust217–19-0.0612%15 Jul →
inferno12–16-0.0329%15 Jul →
overpass16–60.0221%15 Jul →
anubis12–16-0.0623%15 Jul →
overpass5–16-0.0136%15 Jul →
nuke12–160.0027%15 Jul →
inferno12–16-0.0319%14 Jul →
vertigo16–12-0.0421%13 Jul →
anubis13–16-0.0314%13 Jul →
dust27–160.0525%11 Jul →
overpass6–16-0.0618%11 Jul →
dust216–4-0.0517%10 Jul →
vertigo22–20-0.0722%9 Jul →
inferno16–12-0.0317%9 Jul →
inferno16–120.0320%8 Jul →
nuke14–16-0.0314%8 Jul →
anubis16–11-0.0221%8 Jul →
dust216–14-0.0125%8 Jul →
inferno16–13-0.0314%8 Jul →
nuke4–16-0.0621%7 Jul →
overpass16–14-0.0421%6 Jul →
nuke16–13-0.0410%6 Jul →
nuke14–16-0.0720%5 Jul →
inferno15–19-0.0415%1 Jul →
ancient23–25-0.0214%1 Jul →
inferno16–130.0118%1 Jul →
inferno11–16-0.0217%28 Jun →
inferno11–16-0.0413%27 Jun →
overpass8–16-0.0928%26 Jun →
inferno16–50.0022%25 Jun →
vertigo11–160.0014%25 Jun →
inferno16–140.0115%25 Jun →
inferno16–110.0520%24 Jun →
inferno10–16-0.0124%24 Jun →
inferno22–190.0516%23 Jun →
overpass14–160.0122%23 Jun →
inferno17–19-0.0128%23 Jun →
overpass19–150.0828%22 Jun →
inferno15–19-0.0218%19 Jun →
mirage9–16-0.028%19 Jun →
inferno16–12-0.0120%17 Jun →
overpass16–140.0020%17 Jun →

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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