P3tr

P3tr — CS2 Stats

76561198369394532[U:1:409128804]Steam profile ↗✓ No bans

440Tracked matches56%Win rate2025Tracked since
CSDB Rating5.1 DevelopingAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim46
Positioning49
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52–37–11Last 10052%Win rateLWTLWTWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · +15ms reaction

Win rate up 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 662ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 666ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 658ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.6
Utility4.5
Positioning4.9
Opening Duels3.7

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

jL

Plays most like jL 79% 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. 658ms 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

Aim4.6
Positioning4.9
Utility4.5
Mechanics7.0
Opening Duels2.8
Win Impact7.0

Composite 5.1/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time657ms−28ms
first ⅓ avg 686ms → last ⅓ avg 657ms
Headshot accuracy12.7%+1.1%
first ⅓ avg 11.6% → last ⅓ avg 12.7%

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

0.20Best match rating · 13–1 · inferno, 16 Jul →
26%Best headshot accuracy · 4–13 · cache, 17 Sept →
461msFastest reaction time · 2–13 · dust2, 15 Aug →
13–1Biggest win · mirage, 15 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 67% over 12vertigoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%-0.02
mirageC167–944%0.01
cacheB147–750%0.02
infernoS128–467%0.02
nukeS128–467%-0.03
vertigoD72–529%-0.01
ancientC52–340%0.00
train—31–233%0.00
office—31–233%-0.04
anubis—22–0100%-0.00
boulder—10–10%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo 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.

12.4%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.6%Spray accuracy
81.6%Counter-strafing
11.1°Preaim
658msReaction time
40.8%T opening success
41.6%CT opening success
0.49Enemies flashed / flash
7.2%Flash assists
7.69HE damage / grenade
3.03Flashes / 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 12.4383% — 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 0.4901 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0911%8 Oct →
dust213–8-0.0423%8 Oct →
cache12–12-0.0113%7 Oct →
train7–13-0.055%7 Oct →
train13–40.0912%7 Oct →
inferno12–120.0512%5 Oct →
dust213–60.0616%5 Oct →
nuke13–30.0411%5 Oct →
inferno13–90.0113%2 Oct →
dust213–60.0112%2 Oct →
office13–30.0311%30 Sept →
nuke7–13-0.0610%30 Sept →
mirage2–13-0.038%30 Sept →
vertigo12–120.0214%23 Sept →
vertigo7–13-0.016%23 Sept →
vertigo13–40.0212%23 Sept →
vertigo2–13-0.0213%23 Sept →
cache4–13-0.0726%17 Sept →
dust211–130.0212%17 Sept →
anubis13–6-0.019%9 Sept →
dust213–9-0.0124%9 Sept →
inferno12–12-0.077%8 Sept →
mirage13–60.037%2 Sept →
vertigo7–13-0.0818%2 Sept →
cache12–120.0211%31 Aug →
inferno13–11-0.008%31 Aug →
cache13–11-0.102%27 Aug →
dust211–130.0323%27 Aug →
cache13–20.0515%26 Aug →
inferno2–13-0.0912%20 Aug →
mirage11–13-0.0010%20 Aug →
nuke13–70.0011%20 Aug →
nuke1–5-0.0525%18 Aug →
inferno13–100.019%18 Aug →
mirage2–130.086%16 Aug →
nuke13–80.0617%16 Aug →
nuke6–1-0.040%15 Aug →
mirage13–10.0119%15 Aug →
dust22–13-0.1610%15 Aug →
cache12–120.0112%15 Aug →
dust212–120.0617%15 Aug →
cache13–10.0411%15 Aug →
nuke13–9-0.034%13 Aug →
train9–13-0.0310%13 Aug →
dust213–20.0711%13 Aug →
mirage5–130.048%12 Aug →
ancient13–40.049%12 Aug →
nuke13–8-0.015%7 Aug →
dust213–8-0.0113%7 Aug →
mirage13–90.019%4 Aug →
inferno13–60.0710%4 Aug →
mirage13–5-0.0213%4 Aug →
vertigo13–30.0618%1 Aug →
vertigo5–13-0.0513%1 Aug →
dust213–6-0.013%27 Jul →
mirage13–11-0.018%27 Jul →
nuke13–11-0.0316%24 Jul →
inferno9–130.022%22 Jul →
nuke3–13-0.046%22 Jul →
dust213–100.025%22 Jul →
dust25–13-0.0619%20 Jul →
cache13–10-0.0020%20 Jul →
mirage12–12-0.047%18 Jul →
inferno13–40.0111%18 Jul →
dust210–130.0313%18 Jul →
dust213–11-0.0610%17 Jul →
mirage10–130.034%17 Jul →
dust213–3-0.0612%17 Jul →
office11–13-0.047%16 Jul →
boulder8–13-0.0317%16 Jul →
inferno13–10.2015%16 Jul →
dust22–13-0.093%16 Jul →
nuke1–13-0.1310%16 Jul →
mirage5–130.0411%15 Jul →
ancient3–130.0621%15 Jul →
dust29–13-0.0612%15 Jul →
nuke13–9-0.0219%14 Jul →
cache13–60.069%13 Jul →
dust213–40.035%13 Jul →
mirage13–50.057%13 Jul →
dust212–12-0.0113%13 Jul →
office1–9-0.1111%10 Jul →
ancient4–13-0.059%7 Jul →
mirage8–13-0.0122%7 Jul →
dust26–130.039%7 Jul →
inferno13–110.0617%7 Jul →
anubis13–10.0013%7 Jul →
cache11–130.0417%6 Jul →
dust213–2-0.037%5 Jul →
cache13–60.0711%5 Jul →
cache12–120.0710%4 Jul →
cache13–110.0412%4 Jul →
ancient6–13-0.037%3 Jul →
dust26–13-0.0712%3 Jul →
ancient13–8-0.0113%27 Jun →
dust213–7-0.0623%27 Jun →
mirage4–20.0010%27 Jun →
cache12–120.007%27 Jun →
inferno13–11-0.019%26 Jun →
dust213–6-0.013%26 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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