screenylepoulet

screenylepoulet — CS2 Stats

FR76561198366674734[U:1:406409006]Steam profile ↗✓ No bans

1,458Tracked matches61%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating20,017Top 50% of 213,740 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82923 of 260213 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 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: 20,017 +1,877 1 Jul – 5 Nov · 21 days played
17,59120,017peak 20,0171 Jul5 Nov
20,118Peak Premier in tracked matches
1,201Highest Faceit ELO seen on CSDB
35Days played since 2026-06-24

Faceit ELO

  • At peak — 1,201
  • Next: Level 7 at 1,351 — 150 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • At peak — 20,017
  • +2,426 over 30 days · improving
  • Next: Red band at 25,000 — 4,983 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.GGscreenylepouletPREMIER20,017 · Pink bandPEAK ELO1,201csdb.gg/stats

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Performance scores

Aim69
Positioning58
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWLWLLWWLTL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.5pp headshot accuracy · −15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 542ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 534ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

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 (+1.5 against its own average).

Aim6.9
Utility4.7
Positioning5.8
Opening Duels3.9
Clutch3.0

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

m0NESY

Plays most like m0NESY 91% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 551ms 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

Aim6.9
Positioning5.8
Utility4.7
Mechanics6.9
Opening Duels6.4
Win Impact8.6

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time558ms−44ms
first ⅓ avg 602ms → last ⅓ avg 558ms
Headshot accuracy19.2%−1.5%
first ⅓ avg 20.7% → last ⅓ avg 19.2%

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 · 13–1 · ancient, 8 Jul →
36%Best headshot accuracy · 4–0 · train, 10 Sept →
375msFastest reaction time · 13–8 · inferno, 30 Oct →
13–1Biggest win · ancient, 8 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 58% over 12infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC198–1142%-0.01
dust2B1910–953%-0.01
ancientA148–657%0.02
anubisA127–558%0.00
nukeA116–555%0.02
infernoC104–640%-0.01
cacheA74–357%0.02
office—21–150%0.01
vertigo—22–0100%0.04
train—22–0100%0.03
fachwerk—10–10%0.03
shelter—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

262Matches
51%Win rate
0.98Avg K/D
76.9ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6859%0.9714.5
Dust25143%1.0215.4
Inferno4757%1.0514.3
Ancient3743%0.9814.7
Nuke3155%0.9213.2
Anubis1346%0.8912.9
Overpass838%0.9215.3
Train333%0.568.7

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.

18.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.4%Spray accuracy
81.1%Counter-strafing
10.4°Preaim
551msReaction time
61.3%T opening success
49.5%CT opening success
0.48Enemies flashed / flash
5.3%Flash assists
5.63HE damage / grenade
13.75Flashes / 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. 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 0.4823 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–2-0.0113%6 Nov →
cache13–16-0.048%5 Nov →
cache13–100.0825%5 Nov →
office9–13-0.0311%30 Oct →
mirage4–13-0.1120%30 Oct →
inferno13–8-0.0119%30 Oct →
dust213–8-0.0512%29 Oct →
ancient5–13-0.0420%29 Oct →
ancient15–150.0320%23 Oct →
mirage11–13-0.0328%23 Oct →
mirage13–3-0.0316%23 Oct →
ancient13–50.0623%22 Oct →
dust216–120.0125%22 Oct →
cache13–100.016%22 Oct →
cache12–120.0316%22 Oct →
vertigo13–6-0.0212%22 Oct →
mirage16–13-0.0115%16 Oct →
ancient11–130.0535%16 Oct →
mirage9–13-0.0018%16 Oct →
cache8–130.0115%15 Oct →
nuke13–80.0820%15 Oct →
anubis13–16-0.0114%15 Oct →
dust21–13-0.0823%13 Oct →
dust213–50.1027%13 Oct →
dust210–130.0030%13 Oct →
cache13–80.0420%12 Oct →
ancient13–30.0018%12 Oct →
nuke13–50.0328%12 Oct →
cache13–80.009%12 Oct →
anubis13–40.0720%11 Oct →
anubis5–13-0.0514%4 Oct →
mirage13–30.0633%4 Oct →
ancient9–130.0422%1 Oct →
dust211–130.0623%1 Oct →
dust215–150.0113%1 Oct →
train4–00.0636%10 Sept →
anubis13–9-0.0128%10 Sept →
anubis13–90.0422%10 Sept →
mirage8–130.0824%10 Sept →
vertigo13–60.1121%6 Sept →
train13–70.0116%6 Sept →
nuke13–50.1220%6 Sept →
anubis3–13-0.0421%6 Sept →
mirage13–10-0.0122%6 Sept →
inferno5–13-0.0527%5 Sept →
anubis16–13-0.0222%5 Sept →
mirage6–13-0.0132%3 Sept →
inferno5–13-0.0524%1 Sept →
ancient13–70.0624%1 Sept →
inferno6–90.0323%1 Sept →
dust24–13-0.0123%1 Sept →
inferno1–8-0.0726%1 Sept →
mirage10–130.0320%1 Sept →
mirage0–5-0.0736%1 Sept →
inferno16–13-0.0315%26 Aug →
mirage13–2-0.0211%26 Aug →
dust24–13-0.0822%23 Aug →
nuke10–13-0.0021%23 Aug →
ancient9–13-0.0413%23 Aug →
ancient13–6-0.0421%7 Aug →
ancient13–9-0.0218%7 Aug →
dust213–70.0215%7 Aug →
inferno6–20.0636%7 Aug →
office13–40.0523%5 Aug →
dust23–13-0.0513%5 Aug →
dust24–13-0.0525%5 Aug →
anubis6–130.0117%5 Aug →
nuke12–120.0715%31 Jul →
mirage10–130.0717%31 Jul →
mirage11–13-0.0516%29 Jul →
inferno13–20.0720%29 Jul →
dust213–2-0.0413%29 Jul →
dust213–90.0125%24 Jul →
inferno2–13-0.1017%24 Jul →
ancient7–130.0518%24 Jul →
dust213–50.0520%15 Jul →
mirage13–90.0729%15 Jul →
dust23–13-0.0229%15 Jul →
fachwerk9–130.0310%15 Jul →
shelter13–8-0.0116%15 Jul →
nuke7–13-0.0015%10 Jul →
anubis8–13-0.0526%10 Jul →
mirage13–11-0.0414%8 Jul →
dust213–8-0.0115%8 Jul →
ancient13–10.1622%8 Jul →
mirage7–13-0.0833%4 Jul →
anubis13–90.0525%3 Jul →
anubis13–9-0.0221%3 Jul →
inferno6–130.0119%3 Jul →
nuke9–130.0027%2 Jul →
dust23–3-0.0629%2 Jul →
ancient13–8-0.0121%2 Jul →
nuke16–14-0.0516%1 Jul →
nuke8–13-0.0314%28 Jun →
mirage12–12-0.0519%28 Jun →
anubis13–100.0325%28 Jun →
mirage16–120.0223%25 Jun →
nuke13–70.0621%25 Jun →
dust213–110.0828%25 Jun →
ancient13–6-0.0227%24 Jun →

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.