Guiilain

Guiilain — CS2 Stats

FR76561199820784786[U:1:1860519058]Steam profile ↗✓ No bans

1,328Tracked matches38%Win rate2025Tracked since
2,178Hours in CS40Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating10,859Blue band · top ~50.3% of ranked players (population est.)
FaceitLevel 3 · 742 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 10,859 -1,513 4 Oct – 12 Nov · 20 days played
10,40713,169peak 13,1694 Oct12 Nov
13,169Peak Premier in tracked matches
742Highest Faceit ELO seen on CSDB
31Days played since 2026-10-04

Faceit ELO

  • At peak — 742
  • Next: Level 3 at 751 — 9 to go
  • Reached: Level 2

Premier CS Rating

  • 2,310 below peak (13,169)
  • -1,248 over 30 days · declining
  • Next: Purple band at 15,000 — 4,141 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,677), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate36.0%41.8%42.7%6.7% short
Shot accuracy0.0%12.2%11.2%11.2% short
Kill/death ratio0.790.980.990.20 short
Match win rate47.8%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGuiilainFACEITLevel 3 · 742 ELOSTANDINGTop 90.6% of rankedPREMIER10,859 · Blue bandPEAK ELO742csdb.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

Aim30
Positioning49
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLWWLWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · −5ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 555ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 623ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 625ms

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 (+1.2 against its own average).

Aim3.0
Utility5.1
Positioning4.9
Opening Duels2.4
Clutch3.2

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

ZywOo

Plays most like ZywOo 63% 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

Reaction time. 624ms 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

Aim3.0
Positioning4.9
Utility5.1
Mechanics4.0
Opening Duels3.7
Win Impact1.0

Composite 3.5/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time635ms+49ms
first ⅓ avg 587ms → last ⅓ avg 635ms
Headshot accuracy10.4%−0.8%
first ⅓ avg 11.2% → last ⅓ avg 10.4%

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

0.13Best match rating · 13–2 · anubis, 5 Nov →
24%Best headshot accuracy · 4–13 · inferno, 27 Oct →
344msFastest reaction time · 5–13 · inferno, 21 Oct →
13–2Biggest win · anubis, 5 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 57% over 14mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC207–1335%-0.02
cacheC188–1044%-0.02
dust2D143–1121%-0.03
anubisA148–657%0.01
ancientC125–742%-0.02
nukeA116–555%-0.02
mirageD102–820%-0.02
train—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,587Lifetime kills
0.79K/D
3,073Matches
47.8%Match win rate · Top 25% of Level 3 players
36.0%Headshot %
0.0%Shot accuracy
4,757MVPs
1,250Hours (in match)
4,069Bombs planted
728Bombs defused

Most-used weapons

AK-479,454
MAC-103,402
P902,461
MP92,313
FAMAS1,669
HE Grenade652

Lifetime map wins

7,307inferno
5,161dust2
4,394nuke
1,617train
310vertigo
22italy
4ar_baggage
3ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

500Matches
49%Win rate
0.83Avg K/D
72.7ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno11955%0.8213.1
Anubis7946%0.8613.4
Dust26943%0.7912.9
Mirage5936%0.8613.7
Cache5355%0.8812.9
Nuke5368%0.9214.4
Ancient3847%0.7511.8
Overpass1323%0.579.9

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.

10.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.8%Spray accuracy
68.2%Counter-strafing
13.0°Preaim
624msReaction time
52.3%T opening success
37.6%CT opening success
0.55Enemies flashed / flash
3.4%Flash assists
12.00HE damage / grenade
2.48Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9675° — above the 12° mark we flag

    Aim Training →
  2. 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 10.7483% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4838 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–16-0.0311%14 Nov →
inferno13–6-0.0117%14 Nov →
cache13–9-0.0117%14 Nov →
anubis11–13-0.038%14 Nov →
dust213–11-0.0118%12 Nov →
inferno7–13-0.0611%12 Nov →
cache9–13-0.039%12 Nov →
inferno16–13-0.039%12 Nov →
dust212–16-0.066%11 Nov →
inferno7–13-0.055%11 Nov →
cache10–13-0.0311%11 Nov →
nuke13–16-0.076%11 Nov →
cache13–11-0.0415%11 Nov →
inferno10–13-0.025%8 Nov →
cache13–60.0314%8 Nov →
cache6–13-0.019%6 Nov →
cache13–4-0.009%5 Nov →
anubis5–13-0.0113%5 Nov →
ancient13–40.0513%5 Nov →
inferno11–13-0.0110%5 Nov →
dust211–13-0.0522%5 Nov →
anubis13–20.135%5 Nov →
ancient13–11-0.0013%5 Nov →
cache10–13-0.049%4 Nov →
anubis11–130.0311%4 Nov →
mirage15–150.006%4 Nov →
cache10–13-0.046%3 Nov →
nuke16–140.0511%3 Nov →
mirage3–13-0.058%2 Nov →
cache9–13-0.0619%2 Nov →
mirage13–6-0.037%2 Nov →
nuke13–10-0.024%2 Nov →
anubis7–30.058%2 Nov →
inferno13–8-0.026%1 Nov →
anubis13–70.0212%1 Nov →
inferno13–10-0.0419%1 Nov →
inferno9–13-0.0415%1 Nov →
mirage12–12-0.0211%31 Oct →
dust24–13-0.0411%31 Oct →
dust213–8-0.0215%30 Oct →
inferno13–70.0613%30 Oct →
cache13–110.0020%30 Oct →
anubis10–130.0011%29 Oct →
anubis13–30.0112%29 Oct →
mirage14–16-0.0411%28 Oct →
nuke15–150.018%28 Oct →
nuke5–130.0018%28 Oct →
anubis13–60.066%28 Oct →
dust210–13-0.0210%27 Oct →
cache13–80.0014%27 Oct →
inferno4–13-0.0324%27 Oct →
mirage8–130.0012%27 Oct →
dust26–130.0314%26 Oct →
inferno11–13-0.0211%26 Oct →
cache11–13-0.006%26 Oct →
nuke8–130.039%25 Oct →
nuke13–10-0.069%25 Oct →
inferno12–16-0.0410%25 Oct →
inferno19–16-0.0417%25 Oct →
anubis13–9-0.0610%25 Oct →
anubis10–13-0.0310%24 Oct →
ancient9–13-0.0311%24 Oct →
dust213–80.038%22 Oct →
cache25–23-0.028%22 Oct →
nuke13–10-0.0715%22 Oct →
mirage8–13-0.0111%22 Oct →
ancient10–130.016%22 Oct →
cache8–13-0.0712%22 Oct →
ancient2–13-0.0611%21 Oct →
anubis13–100.037%21 Oct →
nuke13–11-0.066%21 Oct →
inferno5–13-0.0912%21 Oct →
inferno2–13-0.088%20 Oct →
ancient8–13-0.0213%20 Oct →
nuke2–13-0.058%20 Oct →
ancient13–11-0.0318%19 Oct →
ancient13–11-0.0114%18 Oct →
dust23–13-0.047%17 Oct →
nuke13–4-0.0112%17 Oct →
inferno7–130.0115%16 Oct →
mirage12–12-0.0012%16 Oct →
ancient13–8-0.0111%16 Oct →
dust29–13-0.0611%16 Oct →
cache13–100.0412%14 Oct →
anubis13–80.016%14 Oct →
cache5–13-0.092%14 Oct →
anubis2–13-0.0814%9 Oct →
mirage8–130.0310%8 Oct →
mirage13–7-0.0414%8 Oct →
inferno13–90.0415%7 Oct →
train13–70.0811%7 Oct →
inferno4–130.0211%7 Oct →
cache8–13-0.048%7 Oct →
inferno1–13-0.0517%7 Oct →
dust210–13-0.0814%7 Oct →
dust24–13-0.0716%6 Oct →
ancient2–13-0.0718%6 Oct →
dust29–130.029%6 Oct →
ancient11–13-0.0010%4 Oct →
ancient8–13-0.046%4 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.