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Peter PanPot

Peter PanPot — CS2 Stats

76561197998212142[U:1:37946414]Steam profile ↗✓ No bans

590Tracked matches76%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating23,787Top 25% of 204,412 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#33198 of 251784 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Jun 2026 (135 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: 23,787 +198 8 May – 1 Jun · 12 days played
22,27324,403peak 24,4038 May1 Jun
24,403Peak Premier in tracked matches
32Days played since 2026-05-02

Premier CS Rating

  • 616 below peak (24,403)
  • +198 over 30 days · steady
  • Next: Red band at 25,000 — 1,213 to go
  • Reached: Pink band · 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.GGPeter PanPotFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER23,787 · Pink bandcsdb.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

Aim49
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

HOT52–36–12Last 10052%Win rateWWWLTWWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.5pp headshot accuracy · −23ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 20

  • 13–3–4 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 604ms

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 (+1.5 against its own average).

Aim4.9
Utility6.3
Positioning5.9
Opening Duels4.7
Clutch2.2

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

jL

Plays most like jL 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.9
Positioning5.9
Utility6.3
Mechanics3.8
Opening Duels4.3
Win Impact10.0

Composite 5.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time577ms+13ms
first ⅓ avg 565ms → last ⅓ avg 577ms
Headshot accuracy13.5%+0.3%
first ⅓ avg 13.2% → last ⅓ avg 13.5%

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 · 13–4 · dust2, 31 May →
33%Best headshot accuracy · 5–13 · dust2, 11 May →
422msFastest reaction time · 9–13 · inferno, 9 May →
13–2Biggest win · dust2, 17 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B8243–3952%0.01
ancientS64–267%-0.00
infernoB63–350%-0.04
cache—31–233%0.00
overpass—11–0100%-0.01
mirage—10–10%-0.09
vertigo—10–10%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

87Matches
54%Win rate
1.20Avg K/D
89.2ADR
31%Headshot %

Clutches & streaks

31%1v1 clutch win
47%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22060%1.3015.9
Inferno757%1.1116.7
Ancient50%1.1711.6
Nuke560%1.1817.6
Mirage367%1.1918.3
Train2100%3.1624.0
Anubis20%0.7011.0

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.

13.7%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.1%Spray accuracy
67.0%Counter-strafing
10.9°Preaim
582msReaction time
45.5%T opening success
49.2%CT opening success
0.61Enemies flashed / flash
4.3%Flash assists
11.55HE damage / grenade
12.55Flashes / 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 13.7234% — below the 15% mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
dust213–30.0513%6 Oct →
dust213–110.0311%6 Jul →
dust213–60.0619%20 Jun →
dust210–130.027%19 Jun →
dust212–120.0025%18 Jun →
dust213–10-0.0114%18 Jun →
dust213–7-0.0121%16 Jun →
dust213–70.0915%3 Jun →
dust28–13-0.0315%1 Jun →
dust213–40.1215%31 May →
ancient16–130.037%29 May →
dust213–50.0111%29 May →
dust212–12-0.0314%29 May →
dust213–80.000%29 May →
dust213–40.1010%26 May →
dust26–13-0.0913%25 May →
dust213–60.0216%25 May →
dust212–12-0.0618%24 May →
dust215–150.0827%24 May →
dust213–80.0513%24 May →
dust213–11-0.0224%23 May →
dust25–13-0.054%22 May →
ancient3–13-0.0712%22 May →
dust24–13-0.0413%21 May →
inferno13–10-0.015%17 May →
dust213–20.0823%17 May →
ancient13–8-0.0413%17 May →
dust212–120.025%17 May →
dust213–90.0112%16 May →
ancient13–70.0117%16 May →
dust213–50.0713%16 May →
inferno1–9-0.217%16 May →
dust27–13-0.0217%16 May →
dust27–13-0.0320%16 May →
dust213–3-0.0512%16 May →
dust29–13-0.0221%15 May →
dust213–6-0.0611%15 May →
dust213–50.0926%15 May →
dust213–100.049%15 May →
dust24–130.0217%15 May →
dust212–120.0513%14 May →
dust212–120.0111%14 May →
dust213–60.0313%14 May →
dust213–90.0712%14 May →
dust29–130.0319%14 May →
dust213–9-0.0111%13 May →
dust28–13-0.0516%13 May →
dust213–100.0916%13 May →
dust211–13-0.0310%13 May →
dust211–130.0618%13 May →
dust23–13-0.0417%13 May →
dust28–13-0.058%12 May →
dust27–130.0117%12 May →
ancient9–130.0318%12 May →
dust213–100.1116%11 May →
dust26–13-0.0411%11 May →
dust213–5-0.0015%11 May →
dust213–80.0316%11 May →
dust25–13-0.0833%11 May →
dust212–12-0.0214%10 May →
inferno8–13-0.027%10 May →
dust212–120.0113%10 May →
dust211–13-0.087%10 May →
dust213–100.0718%10 May →
dust210–130.0413%9 May →
overpass16–13-0.0118%9 May →
inferno9–13-0.085%9 May →
cache7–13-0.0516%9 May →
dust213–20.0613%9 May →
dust213–110.0115%9 May →
dust213–7-0.0622%9 May →
dust213–60.015%9 May →
mirage5–13-0.0918%9 May →
dust213–90.0314%9 May →
dust22–13-0.0512%8 May →
inferno13–40.049%8 May →
ancient13–70.0210%8 May →
dust213–9-0.0318%8 May →
dust213–100.0524%8 May →
dust22–13-0.076%8 May →
dust213–90.0115%8 May →
dust213–10-0.0625%7 May →
cache12–120.0217%7 May →
dust213–110.0214%7 May →
vertigo12–120.128%7 May →
dust211–130.0415%6 May →
cache13–110.0313%6 May →
dust213–100.059%5 May →
dust213–80.1110%5 May →
dust21–13-0.040%5 May →
dust211–13-0.016%4 May →
dust210–13-0.0013%3 May →
dust28–130.0112%3 May →
dust212–120.0113%3 May →
dust27–130.0813%3 May →
dust213–90.0314%3 May →
dust213–50.0416%3 May →
dust213–90.0313%2 May →
inferno9–30.0213%2 May →
dust24–130.0313%2 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.

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