hassan

hassan — CS2 Stats

US76561198410693775[U:1:450428047]Steam profile ↗✓ No bans

453Tracked matches67%Win rate2020Tracked since
472Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating23,754Top 25% of 204,316 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#33494 of 251423 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Feb 2026 (234 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: 23,754 +6,014 25 Dec – 21 Feb · 15 days played
17,74024,124peak 24,12425 Dec21 Feb
24,385Peak Premier in tracked matches
41Days played since 2025-07-18

Premier CS Rating

  • 370 below peak (24,124)
  • Next: Red band at 25,000 — 1,246 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 Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate41.4%50.9%
Shot accuracy12.0%13.7%
Kill/death ratio1.151.09
Match win rate51.6%48.4%

Share this profile

CSDB.GGhassanFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER23,754 · Pink 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

Aim61
Positioning59
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLWWLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +3.9pp headshot accuracy · +13ms 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 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 596ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

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 (+1.1 against its own average).

Aim6.1
Utility4.5
Positioning5.9
Opening Duels4.8
Clutch4.0

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.1
Positioning5.9
Utility4.5
Mechanics4.5
Opening Duels4.4
Win Impact10.0

Composite 5.9/10 (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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time577ms−14ms
first ⅓ avg 591ms → last ⅓ avg 577ms
Headshot accuracy19.1%−0.8%
first ⅓ avg 19.9% → last ⅓ avg 19.1%

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

0.30Best match rating · 13–9 · inferno, 1 Jan →
64%Best headshot accuracy · 9–5 · inferno, 20 Sept →
414msFastest reaction time · 0–8 · inferno, 31 Jan →
13–1Biggest win · nuke, 20 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 73% over 15mirageWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%0.01
nukeB179–853%0.04
infernoS1511–473%0.04
ancientA149–564%0.01
overpassB115–645%0.02
anubisA116–555%0.03
dust2A85–363%0.00
train—44–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,920Lifetime kills
1.15K/D · Top 50% of Level 10 players
1,182Matches
51.6%Match win rate · Top 25% of Level 10 players
41.4%Headshot %
12.0%Shot accuracy
3,308MVPs
472Hours (in match)
900Bombs planted
376Bombs defused

Most-used weapons

AK-476,754
AWP3,043
Knife470
MP9462
P250457

Lifetime map wins

1,867inferno
824nuke
787dust2
593train
461vertigo
214cbble
83lake
71office

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

Faceit stats

Combat

412Matches
53%Win rate
1.27Avg K/D
88.2ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5052%1.2416.4
Ancient3554%1.4318.2
Nuke1963%1.2616.1
Anubis1741%1.1816.6
Dust21540%0.9715.2
Inferno1233%1.1716.2
Vertigo1155%1.0817.8
Train560%1.2118.6

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.

19.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.5%Spray accuracy
70.1%Counter-strafing
9.1°Preaim
578msReaction time
36.1%T opening success
59.4%CT opening success
0.46Enemies flashed / flash
3.4%Flash assists
9.08HE damage / grenade
5.09Flashes / 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 0.4643 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.0863% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass5–13-0.0621%21 Feb →
ancient3–13-0.0632%20 Feb →
nuke13–10.1331%20 Feb →
ancient13–11-0.0122%18 Feb →
mirage9–130.0229%17 Feb →
inferno13–90.0019%17 Feb →
mirage13–80.0219%16 Feb →
mirage16–13-0.0124%15 Feb →
overpass5–130.018%15 Feb →
overpass13–80.0016%15 Feb →
anubis9–130.0018%15 Feb →
mirage13–11-0.0113%14 Feb →
ancient13–11-0.0114%14 Feb →
nuke13–60.1224%14 Feb →
nuke13–40.1121%14 Feb →
anubis13–50.0911%14 Feb →
mirage3–130.0141%14 Feb →
dust213–9-0.0016%11 Feb →
nuke9–130.017%11 Feb →
nuke8–130.0115%11 Feb →
anubis11–13-0.0212%11 Feb →
nuke4–13-0.0320%9 Feb →
anubis13–80.0223%9 Feb →
dust213–7-0.0313%8 Feb →
nuke13–90.0220%6 Feb →
ancient13–110.0521%6 Feb →
nuke13–90.0519%6 Feb →
anubis13–30.0624%6 Feb →
ancient13–40.0513%6 Feb →
inferno13–30.0720%6 Feb →
anubis9–130.1016%5 Feb →
nuke13–50.0514%5 Feb →
mirage4–13-0.0614%5 Feb →
nuke2–13-0.037%1 Feb →
inferno13–90.1011%31 Jan →
mirage13–9-0.0121%31 Jan →
dust213–70.1328%31 Jan →
mirage11–13-0.0717%31 Jan →
overpass14–16-0.0023%31 Jan →
inferno0–8-0.0627%31 Jan →
anubis13–20.0114%31 Jan →
anubis13–10-0.0223%30 Jan →
inferno8–13-0.0221%30 Jan →
mirage9–13-0.0125%30 Jan →
inferno13–60.0220%30 Jan →
dust24–3-0.1333%30 Jan →
nuke13–100.1116%29 Jan →
mirage5–13-0.0220%28 Jan →
inferno3–13-0.0432%28 Jan →
overpass13–80.0811%25 Jan →
nuke13–40.0627%25 Jan →
inferno13–90.3017%1 Jan →
ancient13–40.1728%25 Dec →
overpass11–130.0532%25 Dec →
nuke10–130.0226%23 Dec →
inferno13–9-0.0121%23 Dec →
mirage13–10-0.0217%23 Dec →
overpass7–13-0.0116%13 Dec →
ancient13–11-0.0124%13 Dec →
mirage7–130.0114%13 Dec →
mirage1–13-0.0521%29 Nov →
mirage13–100.0915%29 Nov →
nuke12–120.0418%29 Nov →
inferno13–30.0521%29 Nov →
inferno6–130.0512%29 Nov →
mirage12–16-0.0126%19 Nov →
ancient13–30.0519%18 Nov →
ancient10–13-0.0219%18 Nov →
mirage8–130.0625%15 Nov →
dust213–30.0635%15 Nov →
ancient13–6-0.0112%12 Nov →
train13–7-0.0224%12 Nov →
mirage12–120.0221%12 Nov →
anubis11–130.0611%12 Nov →
train13–60.0524%6 Nov →
anubis13–50.0913%6 Nov →
inferno13–10-0.0014%6 Nov →
train13–60.0415%6 Nov →
mirage13–80.1226%5 Nov →
nuke13–30.0723%5 Nov →
ancient7–13-0.0913%19 Oct →
anubis11–13-0.0712%18 Oct →
nuke5–9-0.0912%18 Oct →
overpass9–130.0133%17 Oct →
inferno9–50.1364%20 Sept →
dust29–130.0233%20 Sept →
dust24–10-0.0017%20 Sept →
ancient8–13-0.0120%19 Sept →
dust20–5-0.030%19 Sept →
overpass13–70.0411%16 Aug →
nuke2–40.1015%16 Aug →
inferno13–90.0222%14 Aug →
ancient4–13-0.0322%8 Aug →
overpass16–120.0617%8 Aug →
mirage3–130.0411%8 Aug →
ancient13–60.0612%6 Aug →
inferno13–80.0220%2 Aug →
mirage13–20.0321%2 Aug →
overpass13–100.0619%20 Jul →
train13–80.0523%18 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 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.