puffer

puffer — CS2 Stats

76561197961337423[U:1:1071695]Steam profile ↗✓ No bans

245Tracked matches53%Win rate2020Tracked since
CSDB Rating7.4 StrongSupport
Premier CS Rating20,264Top 50% of 213,211 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#79641 of 259891 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 20,264 +1,407 8 May – 2 Nov · 28 days played
17,66120,834peak 20,8348 May2 Nov
21,314Peak Premier in tracked matches
32Days played since 2026-05-08

Premier CS Rating

  • 570 below peak (20,834)
  • +265 over 30 days · steady
  • +711 over 90 days
  • Next: Red band at 25,000 — 4,736 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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

Share this profile

CSDB.GGpufferPREMIER20,264 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning68
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWWWWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · +10ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 677ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 613ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 608ms

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 (+1.2 against its own average).

Aim8.2
Utility7.0
Positioning6.8
Opening Duels3.7

Effective flashes

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

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

Areas to improve

CT openings. Opening success drops from 69% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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

Aim8.2
Positioning6.8
Utility7.0
Mechanics8.0
Opening Duels6.2
Win Impact6.1

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time595ms−28ms
first ⅓ avg 623ms → last ⅓ avg 595ms
Headshot accuracy25.0%+3.8%
first ⅓ avg 21.2% → last ⅓ avg 25.0%

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

0.16Best match rating · 13–5 · ancient, 16 Oct →
54%Best headshot accuracy · 10–13 · ancient, 23 Oct →
328msFastest reaction time · 3–13 · mirage, 17 Sept →
13–0Biggest win · cache, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 86% over 7mirageWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC2511–1444%0.02
dust2C219–1243%0.01
infernoB168–850%0.03
mirageD133–1023%-0.01
anubisD93–633%0.01
nukeS86–275%0.00
cacheS76–186%0.06
overpass—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
34.3%Spray accuracy
85.9%Counter-strafing
9.5°Preaim
595msReaction time
68.6%T opening success
41.1%CT opening success
0.71Enemies flashed / flash
5.8%Flash assists
11.92HE damage / grenade
9.51Flashes / match

Recommended for you

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–160.0127%2 Nov →
cache13–70.0627%2 Nov →
cache13–60.0131%2 Nov →
dust213–30.0326%23 Oct →
nuke13–80.0320%23 Oct →
mirage8–130.0417%23 Oct →
nuke13–8-0.0331%23 Oct →
dust213–10-0.0114%23 Oct →
ancient10–13-0.0054%23 Oct →
mirage13–160.0325%21 Oct →
nuke10–130.0341%21 Oct →
cache13–11-0.0127%21 Oct →
anubis13–40.0438%21 Oct →
ancient4–13-0.0532%21 Oct →
cache13–20.1233%19 Oct →
cache13–30.1016%19 Oct →
inferno7–130.0029%19 Oct →
mirage6–130.0617%19 Oct →
anubis13–70.0415%19 Oct →
inferno13–40.0816%19 Oct →
dust22–13-0.1116%19 Oct →
dust29–130.0132%17 Oct →
anubis14–16-0.0125%17 Oct →
anubis10–130.0032%17 Oct →
ancient13–16-0.0326%17 Oct →
inferno13–70.0216%17 Oct →
ancient13–70.0520%17 Oct →
nuke3–13-0.0416%16 Oct →
mirage16–12-0.0024%16 Oct →
ancient13–9-0.0019%16 Oct →
nuke13–30.0513%16 Oct →
mirage5–13-0.0530%16 Oct →
ancient13–50.1620%16 Oct →
nuke13–3-0.0011%30 Sept →
inferno13–100.1523%28 Sept →
dust213–9-0.0612%28 Sept →
ancient13–100.0330%28 Sept →
ancient10–130.0133%27 Sept →
nuke13–70.0020%27 Sept →
dust29–13-0.0225%27 Sept →
anubis11–13-0.0117%27 Sept →
ancient13–100.0430%27 Sept →
inferno16–140.0130%27 Sept →
nuke13–5-0.0214%27 Sept →
inferno11–130.0426%23 Sept →
cache13–00.1528%23 Sept →
ancient9–13-0.0617%23 Sept →
ancient6–13-0.0516%21 Sept →
anubis13–40.0330%21 Sept →
mirage6–130.0315%21 Sept →
dust216–140.0527%21 Sept →
inferno13–11-0.0219%21 Sept →
anubis9–13-0.0018%21 Sept →
ancient13–80.1031%21 Sept →
anubis8–13-0.0318%17 Sept →
mirage3–13-0.0840%17 Sept →
dust24–130.0430%7 Sept →
ancient16–120.0832%31 Aug →
inferno13–10-0.0132%31 Aug →
inferno13–60.0318%31 Aug →
ancient10–130.019%31 Aug →
dust213–11-0.0923%30 Aug →
dust27–13-0.0221%28 Aug →
inferno10–130.0619%28 Aug →
ancient11–130.0110%28 Aug →
ancient13–30.1117%26 Aug →
dust211–130.0418%26 Aug →
ancient10–130.0127%25 Aug →
mirage7–13-0.0111%25 Aug →
dust213–100.1119%25 Aug →
cache9–130.0227%25 Aug →
ancient15–150.0319%6 Aug →
mirage5–13-0.0529%6 Aug →
ancient13–70.0718%6 Aug →
mirage7–13-0.0415%6 Aug →
inferno13–160.0425%4 Aug →
dust213–90.0521%4 Aug →
inferno6–130.0325%4 Aug →
ancient7–130.0729%4 Aug →
mirage13–9-0.0224%4 Aug →
ancient15–150.0426%29 Jul →
dust213–110.0324%29 Jul →
dust27–130.0232%29 Jul →
mirage13–7-0.0413%28 Jul →
dust215–15-0.0114%27 Jul →
ancient13–9-0.0417%27 Jul →
dust210–130.0516%23 Jul →
anubis9–13-0.0128%5 Jun →
dust29–13-0.0518%5 Jun →
ancient15–15-0.0422%1 Jun →
mirage10–130.0122%1 Jun →
inferno6–13-0.0227%1 Jun →
inferno13–30.1116%29 May →
dust210–130.0420%28 May →
ancient7–13-0.0214%27 May →
inferno6–13-0.0121%19 May →
dust213–110.0313%19 May →
ancient13–10.0625%18 May →
overpass11–130.0022%18 May →
inferno8–13-0.0119%8 May →

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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