Pfeffi

Pfeffi — CS2 Stats

76561198202828017[U:1:242562289]Steam profile ↗✓ No bans

2,584Tracked matches39%Win rate2022Tracked since
CSDB Rating2.4 LearningClutch Specialist
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 9,999 -533 11 Sept – 11 Oct · 12 days played
7,70010,532peak 10,53211 Sept11 Oct
10,532Peak Premier in tracked matches
14Days played since 2026-09-11

Premier CS Rating

  • 533 below peak (10,532)
  • -533 over 30 days · declining
  • Next: Blue band at 10,000 — 1 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-11
  • Light Blue band first seen 2026-09-11

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

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CSDB.GGPfeffiPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning26
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateWLLWWWWWLL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +0.6pp headshot accuracy · −60ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 518ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 548ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim3.6
Utility2.2
Positioning2.6
Opening Duels0.0
Clutch6.0

Limited utility dependence

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 38% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning2.6
Utility2.2
Mechanics3.2
Opening Duels1.0
Win Impact1.4

Composite 2.4/10 (Learning), 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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time571ms+25ms
first ⅓ avg 546ms → last ⅓ avg 571ms
Headshot accuracy12.4%+2.1%
first ⅓ avg 10.3% → last ⅓ avg 12.4%

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

0.27Best match rating · 9–2 · inferno, 10 Oct →
27%Best headshot accuracy · 6–9 · inferno, 2 Oct →
375msFastest reaction time · 13–7 · inferno, 10 Oct →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC5221–3140%-0.01
dust2C156–940%-0.03
mirageC83–538%-0.04
nukeS75–271%-0.01
ancientA74–357%-0.00
anubisD62–433%-0.02
cacheS54–180%-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

33Matches
55%Win rate
0.83Avg K/D
69.0ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.676.3
Ancient367%0.9814.7
Nuke333%0.9012.3
Anubis2100%0.9311.0
Inferno250%0.8012.0
Mirage1100%0.6111.0

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.

8.7%Headshot accuracy
33.5%Accuracy (enemy spotted)
30.5%Spray accuracy
64.3%Counter-strafing
11.0°Preaim
572msReaction time
38.1%T opening success
22.3%CT opening success
0.38Enemies flashed / flash
0.5%Flash assists
4.96HE damage / grenade
2.52Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.6802% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3823 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.0573% — below the 40% mark we flag

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–70.0715%12 Oct →
inferno7–9-0.1122%12 Oct →
nuke11–13-0.0512%12 Oct →
dust25–1-0.0114%11 Oct →
inferno9–20.1318%11 Oct →
inferno9–60.0414%11 Oct →
anubis13–10-0.0110%11 Oct →
inferno13–70.0913%10 Oct →
mirage7–13-0.0110%10 Oct →
inferno0–9-0.1611%10 Oct →
inferno5–9-0.0817%10 Oct →
cache10–130.0116%10 Oct →
inferno3–13-0.156%10 Oct →
dust25–13-0.0817%10 Oct →
ancient14–16-0.098%10 Oct →
inferno11–13-0.0414%10 Oct →
inferno9–6-0.0110%10 Oct →
inferno9–60.0815%10 Oct →
inferno5–9-0.028%10 Oct →
inferno8–80.0723%10 Oct →
inferno9–20.2715%10 Oct →
inferno9–50.038%10 Oct →
inferno12–12-0.012%9 Oct →
dust213–1-0.028%9 Oct →
dust24–13-0.066%9 Oct →
dust28–13-0.0115%9 Oct →
inferno8–80.0314%9 Oct →
inferno9–5-0.0117%9 Oct →
inferno9–20.0814%9 Oct →
inferno9–40.0220%9 Oct →
ancient13–10-0.048%8 Oct →
nuke13–9-0.036%8 Oct →
anubis2–13-0.015%8 Oct →
mirage4–13-0.092%8 Oct →
dust213–9-0.0513%8 Oct →
inferno9–30.0810%8 Oct →
dust29–13-0.045%8 Oct →
inferno3–9-0.090%8 Oct →
inferno9–20.0613%8 Oct →
inferno8–8-0.0610%8 Oct →
inferno9–50.1810%8 Oct →
inferno8–13-0.048%7 Oct →
dust24–13-0.0115%7 Oct →
ancient9–13-0.032%7 Oct →
cache13–8-0.0114%7 Oct →
anubis5–13-0.065%7 Oct →
inferno8–80.109%7 Oct →
inferno8–8-0.0313%7 Oct →
inferno7–90.0920%7 Oct →
inferno6–9-0.0313%7 Oct →
inferno4–9-0.170%7 Oct →
inferno1–9-0.239%7 Oct →
inferno4–9-0.120%7 Oct →
dust216–12-0.024%6 Oct →
nuke11–13-0.028%6 Oct →
mirage13–11-0.083%6 Oct →
cache13–9-0.0211%6 Oct →
inferno9–5-0.010%6 Oct →
inferno9–6-0.027%6 Oct →
inferno7–9-0.099%6 Oct →
inferno8–80.0310%6 Oct →
dust215–15-0.066%5 Oct →
anubis13–9-0.025%5 Oct →
dust213–8-0.025%5 Oct →
dust210–13-0.0313%5 Oct →
mirage5–13-0.0410%5 Oct →
inferno9–20.0314%5 Oct →
inferno9–40.1512%5 Oct →
dust211–13-0.0410%4 Oct →
ancient11–130.0311%4 Oct →
inferno11–13-0.0717%4 Oct →
cache13–11-0.0510%4 Oct →
inferno6–13-0.069%4 Oct →
anubis6–13-0.0013%4 Oct →
mirage13–11-0.0513%4 Oct →
mirage9–130.008%4 Oct →
anubis7–13-0.039%3 Oct →
nuke13–60.0511%3 Oct →
nuke13–50.053%3 Oct →
nuke13–8-0.056%3 Oct →
ancient13–10-0.015%3 Oct →
mirage13–80.017%3 Oct →
cache13–9-0.0911%3 Oct →
nuke13–4-0.028%3 Oct →
inferno6–9-0.107%3 Oct →
inferno4–9-0.086%3 Oct →
inferno4–9-0.0912%2 Oct →
inferno9–50.048%2 Oct →
inferno6–9-0.1127%2 Oct →
dust214–160.0014%1 Oct →
inferno13–100.0311%1 Oct →
dust216–14-0.0110%1 Oct →
ancient13–90.0616%1 Oct →
inferno8–8-0.0514%1 Oct →
mirage6–13-0.067%30 Sept →
inferno7–9-0.028%30 Sept →
inferno3–9-0.119%30 Sept →
inferno7–90.013%30 Sept →
inferno13–7-0.0122%29 Sept →
ancient13–20.075%29 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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