aloula

aloula — CS2 Stats

DZ76561199821650499[U:1:1861384771]Steam profile ↗✓ No bans

494Tracked matches48%Win rate2025Tracked since
1,940Hours in CS15Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating17,613Purple band · top ~18% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 17,613 -3,437 7 Sept – 14 Nov · 19 days played
17,61321,556peak 21,5567 Sept14 Nov
21,556Peak Premier in tracked matches
46Days played since 2026-09-05

Premier CS Rating

  • 3,943 below peak (21,556)
  • -2,379 over 30 days · declining
  • Next: Pink band at 20,000 — 2,387 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate45.3%43.8%44.8%meets
Shot accuracy0.2%12.0%12.4%12.2% short
Kill/death ratio1.141.021.03above
Match win rate46.0%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGaloulaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,613 · Purple bandcsdb.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

Aim77
Positioning56
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY52–37–11Last 10052%Win rateLWLWLLTWWW

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +2.4pp headshot accuracy · +44ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 653ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 623ms

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 (+1.7 against its own average).

Aim7.7
Utility4.3
Positioning5.6
Opening Duels3.3
Clutch2.4

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 632ms 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

Aim7.7
Positioning5.6
Utility4.3
Mechanics7.5
Opening Duels4.5
Win Impact4.4

Composite 6.1/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time639ms−9ms
first ⅓ avg 648ms → last ⅓ avg 639ms
Headshot accuracy18.4%−1.9%
first ⅓ avg 20.4% → last ⅓ avg 18.4%

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

0.21Best match rating · 13–4 · mirage, 4 Nov →
47%Best headshot accuracy · 9–13 · nuke, 3 Nov →
375msFastest reaction time · 13–7 · cache, 25 Oct →
13–1Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3923–1659%0.02
dust2B2010–1050%-0.00
nukeB1910–953%0.03
cacheC73–443%0.04
anubisA53–260%0.02
inferno—42–250%0.02
ancient—30–30%0.02
office—20–20%0.02
train—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

59,239Lifetime kills
1.14K/D · Top 25% of Level 5 players
3,020Matches
46.0%Match win rate · Top 50% of Level 5 players
45.3%Headshot % · Top 50% of Level 5 players
0.2%Shot accuracy
8,372MVPs
1,371Hours (in match)
1,553Bombs planted
735Bombs defused

Most-used weapons

AK-4720,923
AWP8,080
MP91,252
SSG 081,191
Knife603

Lifetime map wins

12,100dust2
2,222inferno
2,105nuke
430vertigo
89office
69train
22ar_shoots
21italy

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

Faceit stats

Combat

83Matches
48%Win rate
1.12Avg K/D
83.5ADR
45%Headshot %

Clutches & streaks

32%1v1 clutch win
30%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22352%1.1615.3
Mirage1656%1.1515.0
Ancient1457%1.0918.5
Anubis944%1.0113.3
Inferno714%0.9516.9
Nuke757%1.1715.6
Cache617%1.2419.8
Overpass1100%1.0016.0

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.

17.7%Headshot accuracy
40.5%Accuracy (enemy spotted)
34.7%Spray accuracy
83.9%Counter-strafing
8.8°Preaim
632msReaction time
55.4%T opening success
40.5%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
6.58HE 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 0.4764 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0119%14 Nov →
anubis13–4-0.0222%13 Nov →
cache14–160.0610%13 Nov →
mirage13–40.2110%4 Nov →
dust27–13-0.0716%4 Nov →
nuke9–130.2047%3 Nov →
office12–120.0515%3 Nov →
mirage13–80.1713%1 Nov →
mirage13–100.1023%29 Oct →
mirage13–4-0.0013%28 Oct →
mirage8–130.0316%28 Oct →
dust213–30.1719%27 Oct →
mirage12–120.0619%27 Oct →
nuke13–60.0226%27 Oct →
mirage5–00.0213%27 Oct →
mirage13–11-0.0412%27 Oct →
dust21–13-0.0212%27 Oct →
dust213–6-0.0316%27 Oct →
nuke11–13-0.0116%27 Oct →
cache12–16-0.0314%26 Oct →
dust26–13-0.0420%26 Oct →
mirage5–13-0.0817%25 Oct →
cache13–70.0321%25 Oct →
anubis6–130.0722%25 Oct →
mirage12–120.0217%24 Oct →
mirage13–10.0524%24 Oct →
nuke13–110.0116%24 Oct →
cache4–13-0.0322%23 Oct →
mirage9–13-0.0323%23 Oct →
ancient4–8-0.0119%21 Oct →
dust26–4-0.0210%21 Oct →
cache16–130.0315%21 Oct →
inferno6–130.0433%18 Oct →
mirage6–130.0518%18 Oct →
dust213–30.0230%16 Oct →
mirage13–80.109%14 Oct →
ancient12–120.0522%14 Oct →
dust213–7-0.0515%14 Oct →
anubis13–40.037%13 Oct →
dust29–13-0.048%13 Oct →
inferno11–130.0224%12 Oct →
nuke13–40.003%12 Oct →
mirage10–13-0.0212%11 Oct →
mirage13–50.0511%11 Oct →
dust213–30.0326%11 Oct →
mirage13–50.0222%9 Oct →
dust213–50.0515%9 Oct →
anubis13–11-0.0013%9 Oct →
nuke13–7-0.0131%8 Oct →
train6–0-0.0333%8 Oct →
nuke12–120.1340%8 Oct →
ancient7–130.0211%5 Oct →
mirage3–13-0.0515%4 Oct →
inferno13–90.0022%3 Oct →
nuke13–80.0118%3 Oct →
dust21–13-0.1112%3 Oct →
mirage10–13-0.0239%3 Oct →
cache12–16-0.0116%3 Oct →
inferno13–30.0118%3 Oct →
mirage7–13-0.0417%2 Oct →
dust29–130.0614%2 Oct →
nuke13–30.0218%30 Sept →
mirage11–130.0121%30 Sept →
nuke10–130.0113%29 Sept →
mirage13–7-0.049%28 Sept →
nuke13–20.0717%28 Sept →
nuke5–13-0.0319%27 Sept →
nuke12–120.0215%25 Sept →
mirage13–6-0.0217%24 Sept →
mirage13–50.0418%23 Sept →
dust29–13-0.0119%22 Sept →
mirage13–3-0.0313%21 Sept →
dust210–130.0425%18 Sept →
nuke13–30.0722%18 Sept →
anubis12–120.0213%18 Sept →
mirage10–13-0.0521%17 Sept →
mirage13–7-0.0313%16 Sept →
mirage13–10-0.0427%16 Sept →
dust213–100.0316%14 Sept →
mirage13–40.0330%13 Sept →
nuke9–130.0219%13 Sept →
mirage12–120.0015%12 Sept →
dust213–40.0616%12 Sept →
nuke7–13-0.0325%11 Sept →
nuke7–13-0.0531%11 Sept →
mirage12–120.0320%9 Sept →
dust213–10-0.0019%8 Sept →
mirage13–80.1215%8 Sept →
mirage13–4-0.0131%8 Sept →
dust23–13-0.0913%8 Sept →
mirage13–60.0615%7 Sept →
mirage13–110.0726%7 Sept →
mirage12–120.0329%7 Sept →
cache13–70.1926%6 Sept →
nuke13–11-0.0313%6 Sept →
mirage13–10-0.0224%6 Sept →
mirage13–100.0826%6 Sept →
nuke13–10.0919%5 Sept →
mirage7–130.1223%5 Sept →
office12–12-0.0219%5 Sept →

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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