Puffy

Puffy — CS2 Stats

NE76561199082284907[U:1:1122019179]Steam profile ↗✓ No bans

566Tracked matches50%Win rate2020Tracked since
CSDB Rating4.1 DevelopingPositional Player
FaceitLevel 5 · 1,103 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 566 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 1 Apr 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,590 -2,767 1 Apr3 Jan · 19 days played
12,61419,476peak 19,4761 Apr3 Jan
Faceit ELO: 1,103 +0 1 Sept3 Sept · 2 observations
1,1031,103peak 1,1031 Sept3 Sept
19,476Peak Premier in tracked matches
1,103Highest Faceit ELO seen on CSDB
52Days played since 2024-04-01

Faceit ELO

  • At peak — 1,103
  • Next: Level 6 at 1,201 98 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGPuffyFACEITLevel 5 · 1,103 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,103csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning39
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateWWWLLLWWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +3.3pp headshot accuracy · −57ms 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

  • 32 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 719ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 692ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 721ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim5.2
Utility3.3
Positioning3.9
Opening Duels1.4
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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 711ms 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

Aim5.2
Positioning3.9
Utility3.3
Mechanics7.9
Opening Duels0.6
Win Impact5.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time722ms+85ms
first ⅓ avg 637ms → last ⅓ avg 722ms
Headshot accuracy14.8%−2.9%
first ⅓ avg 17.7% → last ⅓ avg 14.8%

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

0.13Best match rating · 13–5 · mirage, 28 Apr
38%Best headshot accuracy · 8–0 · anubis, 10 Apr
469msFastest reaction time · 13–2 · ancient, 25 Aug
13–1Biggest win · nuke, 11 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
58In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 64% over 11dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA1810856%0.01
mirageD1651131%-0.03
infernoB147750%-0.02
ancientB147750%-0.00
dust2D123925%-0.04
vertigoA117464%0.00
anubis43175%0.02
train31233%-0.06
overpass3030%-0.01
basalt31233%-0.01
edin110100%-0.02
thera1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

471Matches
52%Win rate
1.09Avg K/D
48.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

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.

15.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
31.9%Spray accuracy
85.4%Counter-strafing
9.2°Preaim
711msReaction time
30.1%T opening success
34.5%CT opening success
0.54Enemies flashed / flash
2.3%Flash assists
8.57HE damage / grenade
8.30Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.4855ms — above the 700ms mark we flag

    Aim Training
  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 30.0658% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–30.0422%25 Aug
nuke13–6-0.0219%16 Jul
dust216–13-0.0717%3 Jan
inferno10–13-0.0822%16 Nov
ancient0–13-0.1015%29 Oct
inferno5–130.0120%28 Oct
ancient13–11-0.0412%27 Oct
inferno13–4-0.0315%27 Oct
inferno16–12-0.048%16 Oct
mirage3–13-0.0825%19 Sept
inferno13–70.0314%12 Sept
nuke13–40.0520%11 Sept
dust26–13-0.0210%11 Sept
nuke9–130.0120%3 Sept
mirage12–12-0.0816%30 Aug
dust216–13-0.0012%18 Aug
ancient16–130.0211%18 Aug
ancient1–13-0.0713%18 Aug
inferno13–80.0114%12 Aug
dust211–13-0.0413%12 Aug
dust27–13-0.085%11 Aug
mirage2–13-0.1117%11 Aug
mirage4–13-0.140%8 Aug
inferno5–13-0.0917%7 Aug
nuke15–15-0.0320%7 Aug
dust28–13-0.0611%27 Jul
mirage3–130.0016%27 Jul
nuke13–80.0120%24 Jul
mirage13–100.0125%24 Jul
dust213–60.0415%24 Jul
nuke6–13-0.095%23 Jul
mirage11–13-0.0314%23 Jul
inferno11–13-0.017%18 Jul
nuke4–130.0526%17 Jul
mirage8–13-0.0226%17 Jul
ancient6–13-0.0011%17 Jul
train6–13-0.0921%17 Jul
overpass2–130.0411%17 Jul
inferno15–15-0.0220%17 Jul
ancient8–13-0.0218%17 Jul
nuke13–5-0.0111%17 Jul
overpass3–13-0.0511%11 Jul
nuke13–10.029%11 Jul
dust212–12-0.0120%11 Jul
nuke5–130.0012%9 Jul
nuke6–11-0.0311%19 Jun
mirage4–13-0.0326%10 Feb
basalt8–130.0314%10 Feb
vertigo5–13-0.0114%10 Feb
mirage12–120.029%5 Jan
basalt11–13-0.0215%5 Jan
edin13–8-0.0215%5 Jan
train9–13-0.0214%5 Jan
vertigo13–11-0.0515%4 Jan
mirage9–13-0.0424%4 Jan
dust21–13-0.1336%4 Jan
nuke13–60.0321%4 Jan
mirage13–8-0.0927%18 Nov
basalt13–4-0.0318%14 Nov
train13–9-0.0611%14 Nov
nuke9–70.1120%28 Oct
vertigo13–70.0613%25 Oct
nuke13–30.0625%20 Oct
ancient13–50.088%20 Oct
mirage13–60.0721%18 Oct
ancient7–130.0112%18 Oct
vertigo1–20.067%18 Oct
inferno11–13-0.0212%18 Oct
ancient13–30.0111%3 Oct
vertigo5–13-0.0618%3 Oct
vertigo13–6-0.0124%29 Sept
ancient13–20.0525%25 Aug
nuke13–80.0512%24 Aug
inferno5–13-0.0611%15 Aug
dust25–13-0.0419%14 Aug
anubis13–160.0217%14 Aug
thera11–13-0.0315%26 Jun
inferno13–110.0217%7 Jun
mirage11–13-0.1010%3 Jun
dust29–13-0.0124%3 Jun
inferno13–100.0719%17 May
nuke4–50.1018%17 May
vertigo2–9-0.0823%17 May
ancient13–40.0810%12 May
anubis13–40.0114%12 May
dust21–13-0.0526%12 May
mirage13–6-0.0111%9 May
nuke13–10-0.0615%9 May
vertigo5–8-0.0325%8 May
overpass8–13-0.0117%28 Apr
mirage13–50.1322%28 Apr
anubis13–70.0315%28 Apr
vertigo7–20.1022%28 Apr
ancient12–16-0.0317%10 Apr
ancient13–30.0315%10 Apr
anubis8–00.0338%10 Apr
ancient15–15-0.0317%3 Apr
vertigo13–40.0015%3 Apr
inferno13–10-0.0221%1 Apr
nuke9–13-0.0513%1 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →