La PAF Patrouillle

La PAF Patrouillle — CS2 Stats

AL76561198120712090[U:1:160446362]Steam profile ↗✓ No bans

1,968Tracked matches57%Win rate2023Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating14,029Blue band · top ~33.5% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 14,029 +1,157 12 Sept – 14 Nov · 29 days played
10,87114,029peak 14,02912 Sept14 Nov
Faceit ELO: 1,196 +0 12 Sept – 2 Nov · 3 observations
1,1961,196peak 1,19612 Sept2 Nov
14,075Peak Premier in tracked matches
1,196Highest Faceit ELO seen on CSDB
33Days played since 2026-09-12

Faceit ELO

  • At peak — 1,196
  • Next: Level 6 at 1,201 — 5 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-12
  • Level 4 first seen 2026-09-12

Premier CS Rating

  • At peak — 14,029
  • +706 over 30 days · improving
  • Next: Purple band at 15,000 — 971 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-12
  • Light Blue band first seen 2026-09-12

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.GGLa PAF PatrouilllePREMIER14,029 · Blue bandPEAK ELO1,196csdb.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

Aim42
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWWWLLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.3pp headshot accuracy · −74ms reaction

Win rate down 20pp 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 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 523ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 523ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim4.2
Utility5.0
Positioning6.6
Opening Duels4.9
Clutch4.8

Strong CT-side opener

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 74% 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

T-side openings. Opening success drops from 59% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2
Positioning6.6
Utility5.0
Mechanics4.0
Opening Duels5.3
Win Impact7.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time570ms−3ms
first ⅓ avg 573ms → last ⅓ avg 570ms
Headshot accuracy14.8%+0.9%
first ⅓ avg 14.0% → 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

0.14Best match rating · 13–10 · cache, 6 Oct →
36%Best headshot accuracy · 2–9 · inferno, 4 Nov →
367msFastest reaction time · 6–9 · inferno, 5 Oct →
13–1Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 64% over 11anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3619–1753%-0.01
cacheA1911–858%0.02
mirageC125–742%-0.02
dust2A117–464%0.02
nukeC104–640%0.01
ancientB63–350%0.05
anubisD61–517%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

180Matches
51%Win rate
1.19Avg K/D
80.5ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage6148%1.1314.8
Dust23540%1.0215.8
Inferno2654%1.1516.4
Nuke2060%1.6617.8
Ancient1856%1.2814.3
Overpass786%1.4214.7
Train633%1.1615.8
Anubis475%1.2115.0

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.

14.2%Headshot accuracy
27.1%Accuracy (enemy spotted)
29.3%Spray accuracy
68.0%Counter-strafing
9.4°Preaim
559msReaction time
43.5%T opening success
59.0%CT opening success
0.53Enemies flashed / flash
7.5%Flash assists
6.30HE damage / grenade
10.55Flashes / 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 14.1553% — below the 15% mark we flag

    Aim Training →
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.

17% 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
ancient16–140.039%14 Nov →
dust213–110.0516%13 Nov →
ancient13–30.0812%12 Nov →
mirage0–13-0.0624%12 Nov →
anubis10–130.0123%11 Nov →
cache13–50.0712%11 Nov →
inferno10–13-0.0517%11 Nov →
dust213–80.0312%11 Nov →
inferno2–9-0.165%10 Nov →
nuke11–130.079%9 Nov →
ancient11–30.027%9 Nov →
dust213–100.0320%8 Nov →
dust213–40.139%8 Nov →
inferno2–13-0.0721%8 Nov →
mirage13–100.0217%7 Nov →
cache13–11-0.0713%7 Nov →
mirage13–50.0416%7 Nov →
nuke16–140.0912%6 Nov →
nuke10–13-0.029%6 Nov →
ancient12–160.1413%5 Nov →
inferno9–70.0626%5 Nov →
anubis13–5-0.0324%5 Nov →
dust213–50.0216%5 Nov →
inferno2–9-0.0536%4 Nov →
inferno0–7-0.140%3 Nov →
cache1–13-0.0320%3 Nov →
cache13–10-0.0015%3 Nov →
mirage1–13-0.096%2 Nov →
inferno13–6-0.0219%29 Oct →
inferno3–13-0.067%29 Oct →
inferno7–13-0.0816%28 Oct →
inferno1–50.0717%27 Oct →
inferno9–13-0.0814%27 Oct →
inferno13–10-0.099%27 Oct →
inferno7–13-0.0321%26 Oct →
inferno13–8-0.0317%26 Oct →
anubis10–130.0112%20 Oct →
inferno13–70.0317%20 Oct →
inferno13–70.0616%20 Oct →
inferno9–10.1421%20 Oct →
mirage13–10-0.0320%19 Oct →
cache6–13-0.0223%19 Oct →
dust219–170.0017%19 Oct →
mirage7–13-0.0411%19 Oct →
dust211–13-0.0421%19 Oct →
cache13–100.0824%19 Oct →
anubis12–160.0211%18 Oct →
inferno13–40.054%18 Oct →
cache6–130.0625%18 Oct →
cache13–40.0118%18 Oct →
cache7–13-0.0313%18 Oct →
nuke13–11-0.028%17 Oct →
cache6–130.0013%16 Oct →
dust23–13-0.0812%16 Oct →
inferno9–6-0.1313%16 Oct →
nuke16–140.0214%15 Oct →
cache10–130.0314%15 Oct →
inferno13–11-0.0515%15 Oct →
inferno13–80.0226%15 Oct →
inferno13–50.0420%15 Oct →
cache13–70.1219%14 Oct →
inferno7–130.0815%14 Oct →
cache13–70.1132%14 Oct →
cache10–13-0.0115%14 Oct →
cache16–120.0131%14 Oct →
nuke1–13-0.088%14 Oct →
inferno11–13-0.019%13 Oct →
inferno13–50.0820%13 Oct →
anubis13–160.0011%13 Oct →
inferno13–100.0610%13 Oct →
cache16–13-0.0414%12 Oct →
inferno13–9-0.0116%12 Oct →
nuke10–130.0428%12 Oct →
cache13–8-0.0611%12 Oct →
inferno10–130.0212%12 Oct →
dust213–40.1010%12 Oct →
mirage3–13-0.0411%12 Oct →
nuke13–30.0710%11 Oct →
cache13–160.026%11 Oct →
dust26–13-0.0110%11 Oct →
ancient15–15-0.0210%10 Oct →
anubis6–13-0.092%9 Oct →
ancient5–130.0322%9 Oct →
inferno13–10.0226%8 Oct →
nuke11–13-0.038%8 Oct →
inferno14–16-0.0210%8 Oct →
mirage3–13-0.0410%8 Oct →
inferno13–70.0118%7 Oct →
mirage13–90.0212%7 Oct →
mirage4–13-0.018%7 Oct →
mirage13–40.0513%6 Oct →
cache13–100.1422%6 Oct →
mirage1–13-0.0424%6 Oct →
nuke6–9-0.0322%6 Oct →
inferno7–90.019%6 Oct →
inferno16–140.0112%5 Oct →
dust211–13-0.0111%5 Oct →
inferno13–90.0821%5 Oct →
inferno5–9-0.0611%5 Oct →
inferno6–90.0822%5 Oct →

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 →

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