ouleh

ouleh — CS2 Stats

BE76561198246074054[U:1:285808326]Steam profile ↗✓ No bans

1,418Tracked matches43%Win rate2021Tracked since
3,781Hours in CS1Hrs last 2 wks
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating17,730Purple band · top ~17.5% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (35 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: 17,730 -3,141 12 May – 11 Oct · 30 days played
17,73021,828peak 21,82812 May11 Oct
22,198Peak Premier in tracked matches
2,310Highest Faceit ELO seen on CSDB
47Days played since 2026-05-12

Faceit ELO

  • At peak — 2,310
  • Next: 2,500 ELO at 2,500 — 190 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 4,098 below peak (21,828)
  • -352 over 90 days
  • Next: Pink band at 20,000 — 2,270 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.0%44.4%46.9%meets
Shot accuracy9.9%11.8%13.0%3.1% short
Kill/death ratio0.751.031.080.33 short
Match win rate42.1%45.3%46.7%4.6% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoulehPREMIER17,730 · Purple bandPEAK ELO2,310csdb.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

Aim75
Positioning71
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWWLLLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −5ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 573ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 576ms

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.

Aim7.5
Utility6.9
Positioning7.1
Opening Duels7.2
Clutch4.4

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

device

Plays most like device 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 603ms 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

Aim7.5
Positioning7.1
Utility6.9
Mechanics7.6
Opening Duels7.4
Win Impact2.8

Composite 6.9/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time606ms−28ms
first ⅓ avg 634ms → last ⅓ avg 606ms
Headshot accuracy16.6%+3.4%
first ⅓ avg 13.1% → last ⅓ avg 16.6%

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 · 10–13 · inferno, 19 Sept →
38%Best headshot accuracy · 1–4 · mirage, 23 Sept →
438msFastest reaction time · 13–8 · anubis, 16 May →
13–1Biggest win · anubis, 23 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
7–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 31% over 26
MapGradePlayedRecordWin rateAvg rating
mirageD268–1831%0.00
ancientA2012–860%0.01
dust2A1810–856%-0.00
infernoB157–847%0.01
nukeC73–443%-0.01
anubisS75–271%-0.02
cacheA53–260%0.01
vertigo—11–0100%0.09
overpass—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,351Lifetime kills
0.75K/D
2,950Matches
42.1%Match win rate
47.0%Headshot % · Top 50% of Purple band
9.9%Shot accuracy
6,918MVPs
3,489Hours (in match)
2,054Bombs planted
1,275Bombs defused

Most-used weapons

AK-4737,389
AWP4,468
FAMAS1,571
Knife1,243

Lifetime map wins

5,624dust2
5,247inferno
1,170nuke
904vertigo
223train
169cbble
75safehouse
67lake

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

Faceit stats

Combat

1,006Matches
52%Win rate
1.01Avg K/D
75.6ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13651%0.9214.4
Ancient9752%0.9214.9
Inferno8556%0.9014.3
Dust28249%0.9814.2
Anubis7552%0.9514.4
Nuke3262%0.8813.6
Train1275%1.0915.0
Vertigo729%0.9915.0

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.

15.9%Headshot accuracy
34.8%Accuracy (enemy spotted)
40.2%Spray accuracy
84.0%Counter-strafing
8.5°Preaim
603msReaction time
66.3%T opening success
53.3%CT opening success
0.60Enemies flashed / flash
8.7%Flash assists
11.23HE damage / grenade
9.86Flashes / match

Recommended for you

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.

31% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0211%11 Oct →
mirage13–60.0110%11 Oct →
inferno13–90.0922%10 Oct →
ancient13–60.0823%10 Oct →
nuke5–13-0.0416%10 Oct →
cache11–130.0116%10 Oct →
mirage8–130.0124%9 Oct →
ancient13–8-0.0415%28 Sept →
dust211–130.019%23 Sept →
mirage1–40.0538%23 Sept →
nuke5–130.0218%19 Sept →
inferno10–130.1416%19 Sept →
mirage6–130.019%19 Sept →
anubis5–13-0.0516%19 Aug →
dust213–110.0218%9 Aug →
anubis3–13-0.0522%8 Aug →
inferno13–110.0118%3 Aug →
ancient13–9-0.0414%3 Aug →
dust213–9-0.0115%2 Aug →
ancient10–130.0415%1 Aug →
mirage13–80.027%30 Jul →
cache11–5-0.0126%26 Jul →
mirage6–13-0.0014%25 Jul →
dust29–13-0.0612%1 Jul →
mirage3–130.0621%1 Jul →
dust213–10-0.0125%29 Jun →
mirage8–130.0120%29 Jun →
mirage6–13-0.029%29 Jun →
cache13–50.0214%25 Jun →
inferno10–130.046%25 Jun →
mirage11–130.0221%25 Jun →
dust213–11-0.0611%25 Jun →
inferno5–13-0.0217%24 Jun →
ancient13–40.0824%24 Jun →
ancient3–13-0.0314%24 Jun →
anubis13–10.0316%23 Jun →
mirage5–13-0.0123%23 Jun →
anubis13–6-0.0813%22 Jun →
inferno13–30.0919%19 Jun →
ancient7–130.0415%19 Jun →
inferno11–13-0.0112%18 Jun →
mirage4–13-0.068%18 Jun →
ancient13–100.0324%16 Jun →
mirage7–13-0.0225%16 Jun →
ancient13–80.0819%15 Jun →
inferno4–130.0116%15 Jun →
mirage12–120.0223%15 Jun →
nuke8–13-0.0224%14 Jun →
ancient9–13-0.0213%14 Jun →
anubis13–5-0.046%13 Jun →
dust28–130.0316%13 Jun →
inferno13–8-0.0416%13 Jun →
dust210–13-0.0021%13 Jun →
inferno13–5-0.0215%12 Jun →
mirage13–7-0.037%12 Jun →
dust211–130.0121%12 Jun →
inferno8–130.0010%12 Jun →
dust215–150.0114%12 Jun →
mirage13–10-0.0316%11 Jun →
ancient13–110.0124%9 Jun →
inferno12–16-0.0415%6 Jun →
dust216–140.0427%5 Jun →
dust216–120.0112%4 Jun →
dust213–8-0.0218%1 Jun →
mirage7–13-0.073%29 May →
mirage8–13-0.0215%29 May →
vertigo9–50.0914%28 May →
mirage13–110.0417%27 May →
ancient13–100.005%27 May →
inferno8–13-0.044%26 May →
ancient15–15-0.039%24 May →
ancient6–130.0210%24 May →
dust211–13-0.0415%22 May →
inferno13–2-0.0310%22 May →
ancient1–13-0.0812%20 May →
mirage7–13-0.0420%20 May →
ancient13–100.0316%20 May →
mirage13–60.0321%18 May →
mirage7–13-0.0216%18 May →
anubis13–80.0115%16 May →
mirage7–13-0.046%16 May →
cache13–110.0116%16 May →
dust213–5-0.0217%16 May →
ancient13–60.1011%16 May →
dust213–90.0317%15 May →
inferno13–10.0511%15 May →
nuke13–5-0.037%15 May →
mirage8–130.0121%15 May →
dust213–30.0525%15 May →
overpass13–100.059%15 May →
nuke13–30.0521%14 May →
ancient13–10-0.057%14 May →
mirage13–50.0914%14 May →
cache9–130.038%14 May →
ancient8–13-0.048%14 May →
anubis13–90.0721%14 May →
nuke6–13-0.0511%13 May →
dust211–13-0.0211%13 May →
mirage13–100.0413%13 May →
ancient13–100.1311%12 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.