HASSE

HASSE — CS2 Stats

SE76561198165371287[U:1:205105559]Steam profile ↗✓ No bans

358Tracked matches41%Win rate2020Tracked since
1,573Hours in CS1Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating18,582Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (13 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: 18,582 +4,349 16 Jan – 8 Oct · 2 days played
14,23318,582peak 18,58216 Jan8 Oct
18,582Peak Premier in tracked matches
39Days played since 2025-01-16

Premier CS Rating

  • At peak — 18,582
  • Next: Pink band at 20,000 — 1,418 to go
  • Reached: 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 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.8%42.7%43.7%above
Shot accuracy17.6%11.3%12.0%above
Kill/death ratio1.120.991.02above
Match win rate46.1%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGHASSEFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,582 · 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
Positioning71
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWWLLLWLLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +8.3pp headshot accuracy · −50ms 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 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 585ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 610ms

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).

Aim7.7
Utility5.6
Positioning7.1
Opening Duels5.2

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 601ms 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
Positioning7.1
Utility5.6
Mechanics6.5
Opening Duels6.1
Win Impact2.1

Composite 6.4/10 (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 0.04 → last ⅓ avg 0.03
Reaction time603ms−88ms
first ⅓ avg 691ms → last ⅓ avg 603ms
Headshot accuracy22.6%+1.5%
first ⅓ avg 21.1% → last ⅓ avg 22.6%

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

0.19Best match rating · 13–5 · inferno, 7 Sept →
44%Best headshot accuracy · 7–13 · ancient, 20 Sept →
422msFastest reaction time · 13–8 · inferno, 16 Sept →
13–0Biggest win · mirage, 26 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 66% over 29ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS2919–1066%0.02
infernoC207–1335%-0.01
dust2C135–838%0.03
ancientD124–833%0.02
nukeD93–633%0.05
cacheB84–450%0.05
anubis—44–0100%0.09
overpass—32–167%0.05
train—11–0100%0.01
basalt—10–10%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,573Lifetime kills
1.12K/D · Top 25% of Level 4 players
2,125Matches
46.1%Match win rate · Top 50% of Level 4 players
44.8%Headshot % · Top 50% of Level 4 players
17.6%Shot accuracy · Top 25% of Level 4 players
8,561MVPs
795Hours (in match)
2,348Bombs planted
1,750Bombs defused

Most-used weapons

Lifetime map wins

3,348dust2
2,834inferno
1,226nuke
759train
449cbble
223vertigo
57office
45stmarc

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

Faceit stats

Combat

11Matches
64%Win rate
1.10Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

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.

21.9%Headshot accuracy
38.7%Accuracy (enemy spotted)
40.3%Spray accuracy
79.1%Counter-strafing
11.0°Preaim
601msReaction time
60.0%T opening success
48.8%CT opening success
0.50Enemies flashed / flash
10.2%Flash assists
13.15HE damage / grenade
7.20Flashes / 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 0.4981 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0319%8 Oct →
mirage13–80.0838%28 Sept →
ancient6–130.0523%24 Sept →
dust210–130.0016%23 Sept →
ancient6–13-0.0018%23 Sept →
inferno13–9-0.0324%23 Sept →
cache6–130.0331%20 Sept →
ancient7–130.0244%20 Sept →
mirage13–70.1236%20 Sept →
nuke12–160.0122%19 Sept →
ancient10–13-0.0313%19 Sept →
cache11–130.1216%19 Sept →
inferno13–80.0616%16 Sept →
cache13–20.1328%16 Sept →
cache13–110.0127%15 Sept →
inferno5–13-0.029%15 Sept →
inferno10–13-0.0016%15 Sept →
mirage10–13-0.0217%13 Sept →
nuke10–13-0.0118%12 Sept →
mirage13–110.0528%12 Sept →
cache7–130.0520%12 Sept →
inferno15–15-0.0514%11 Sept →
mirage5–00.0729%11 Sept →
inferno10–13-0.0319%11 Sept →
inferno5–130.0110%11 Sept →
ancient10–130.0322%11 Sept →
inferno3–13-0.0422%11 Sept →
ancient13–60.0322%11 Sept →
dust213–80.0925%7 Sept →
inferno13–50.1928%7 Sept →
nuke9–40.1514%7 Sept →
nuke6–13-0.0023%7 Sept →
cache3–00.0640%7 Sept →
ancient9–130.0811%29 Aug →
nuke13–90.1028%29 Aug →
inferno11–130.1015%22 Aug →
inferno4–9-0.1117%22 Aug →
nuke2–9-0.0441%22 Aug →
cache13–10-0.0318%26 Jul →
dust212–160.0221%26 Jul →
ancient13–50.0116%26 Jul →
mirage7–13-0.1012%15 Jul →
mirage13–1-0.0215%15 Jul →
cache12–120.0113%15 Jul →
inferno6–13-0.0715%15 Feb →
mirage16–140.1215%15 Feb →
mirage13–30.1023%8 Feb →
inferno4–13-0.0411%8 Feb →
nuke12–16-0.0117%3 Feb →
inferno6–13-0.0410%2 Feb →
mirage9–13-0.1021%2 Feb →
ancient13–40.0026%2 Feb →
inferno13–11-0.0215%26 Jan →
mirage13–70.007%26 Jan →
dust28–13-0.0725%26 Jan →
overpass7–13-0.0312%25 Jan →
anubis13–40.0711%25 Jan →
inferno13–90.0011%25 Jan →
ancient11–130.019%20 Jan →
ancient12–120.0514%19 Jan →
mirage7–13-0.0217%19 Jan →
mirage9–13-0.039%25 Sept →
dust27–13-0.0211%14 Sept →
mirage13–7-0.0337%14 Sept →
inferno3–13-0.0216%7 Sept →
mirage2–130.0530%7 Sept →
inferno2–13-0.0416%2 Sept →
train13–90.0115%2 Sept →
mirage7–130.003%2 Sept →
dust212–120.0417%28 Aug →
mirage13–6-0.0130%28 Aug →
dust213–20.1014%27 Aug →
mirage13–100.0322%27 Aug →
dust25–130.0819%4 Mar →
mirage13–60.0821%4 Mar →
anubis13–40.0426%25 Feb →
mirage8–13-0.049%25 Feb →
anubis13–20.1919%25 Feb →
mirage13–2-0.0136%24 Feb →
anubis13–100.0417%24 Feb →
nuke9–40.1816%24 Feb →
basalt9–130.0520%19 Feb →
mirage9–30.1625%19 Feb →
dust213–110.0324%19 Feb →
inferno13–6-0.0017%19 Feb →
mirage13–4-0.0621%19 Feb →
inferno13–9-0.0114%31 Jan →
mirage11–130.0324%31 Jan →
overpass13–40.0619%31 Jan →
dust28–13-0.0630%31 Jan →
nuke8–130.0717%31 Jan →
mirage13–70.0126%30 Jan →
dust213–80.0322%30 Jan →
overpass13–70.1119%30 Jan →
mirage13–20.0523%29 Jan →
mirage13–11-0.0116%29 Jan →
mirage13–00.1426%26 Jan →
mirage12–12-0.0133%26 Jan →
dust213–30.0441%26 Jan →
dust26–130.0613%16 Jan →

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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