haakon:)))

haakon:))) — CS2 Stats

NO76561198068020415[U:1:107754687]Steam profile ↗✓ No bans

833Tracked matches66%Win rate2020Tracked since
3,869Hours in CS4Hrs last 2 wks
CSDB Rating6.4 SolidClutch Specialist
CSDB Leaderboard#5752 of 258564 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 833
−3.4ppWin rate · 69.0% → 65.5%

Rating over time

Premier CS Rating: 27,111 +11,554 27 Nov – 26 Sept · 8 days played
15,55727,111peak 27,11127 Nov26 Sept
27,111Peak Premier in tracked matches
39Days played since 2023-05-23

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches90—
Win rate44%——
K/D1.06——
Headshot %64%——

Measured 26 Sep 2026 → 29 Oct 2026; previous 2 Sep 2026 → 26 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate48.2%50.9%
Shot accuracy18.3%13.7%
Kill/death ratio1.061.09
Match win rate43.0%48.4%

Share this profile

CSDB.GGhaakon:)))FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLWWLTWWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.9pp headshot accuracy · +7ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 563ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim7.9
Utility4.5
Positioning5.7
Opening Duels3.1
Clutch6.0

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

jL

Plays most like jL 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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.

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

Aim7.9
Positioning5.7
Utility4.5
Mechanics7.2
Opening Duels1.7
Win Impact10.0

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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time549ms+28ms
first ⅓ avg 521ms → last ⅓ avg 549ms
Headshot accuracy19.6%+4.3%
first ⅓ avg 15.3% → last ⅓ avg 19.6%

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

0.12Best match rating · 13–0 · inferno, 2 Oct →
36%Best headshot accuracy · 7–13 · dust2, 21 Mar →
297msFastest reaction time · 4–0 · nuke, 26 Nov →
16–0Biggest win · inferno, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
54Overtime games

Map breakdown

infernoBest map · 69% over 42nukeWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
infernoS4229–1369%-0.00
nukeC219–1243%-0.02
dust2A95–456%-0.00
ancientA74–357%-0.02
mirageC73–443%0.00
overpassA53–260%-0.00
vertigo—41–325%-0.03
cache—33–0100%0.05
anubis—22–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,005Lifetime kills
1.06K/D
4,406Matches
43.0%Match win rate
48.2%Headshot %
18.3%Shot accuracy · Top 25% of Level 10 players
10,271MVPs
3,040Hours (in match)
3,209Bombs planted
844Bombs defused

Most-used weapons

AK-4745,437
AWP10,262
P2505,028
Negev2,314
MP92,216
P901,958

Lifetime map wins

7,968dust2
7,397inferno
5,950nuke
3,563train
687vertigo
484cbble
278aztec
129office

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

Faceit stats

Combat

753Matches
56%Win rate
0.98Avg K/D
63.3ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
40%1v2 clutch win
18Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%0.537.4
Mirage475%1.3013.0
Nuke333%0.7313.3
Anubis333%0.9415.7
Train20%0.8512.5
Vertigo20%0.8011.5
Dust21100%0.356.0
Overpass1100%0.829.0

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.

20.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
42.6%Spray accuracy
82.2%Counter-strafing
10.5°Preaim
543msReaction time
30.8%T opening success
42.4%CT opening success
0.45Enemies flashed / flash
7.1%Flash assists
6.38HE damage / grenade
3.73Flashes / 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 0.4457 — 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 30.7962% — below the 40% mark we flag

Spend your practice time on Nuke

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 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0218%23 Oct →
inferno13–60.0215%23 Oct →
dust213–5-0.0434%23 Oct →
inferno11–13-0.0331%23 Oct →
inferno12–120.0022%16 Oct →
ancient13–80.0115%1 Aug →
inferno13–9-0.0529%1 Aug →
cache13–90.0419%1 Aug →
nuke13–30.0126%1 Aug →
inferno2–13-0.0511%19 Jul →
dust20–13-0.010%19 Jul →
nuke7–13-0.0615%17 Jul →
inferno13–7-0.0132%17 Jul →
ancient13–80.0015%17 Jul →
cache8–20.0519%17 Jul →
inferno13–50.0516%17 Jul →
dust28–130.0321%17 Jul →
ancient13–6-0.0222%16 Jul →
cache13–80.0532%16 Jul →
ancient13–9-0.0111%16 Jul →
nuke10–13-0.0514%3 May →
dust213–60.0517%3 May →
dust213–10-0.0319%18 Mar →
inferno13–20.0015%3 Jan →
nuke6–130.0325%3 Jan →
nuke13–5-0.0419%2 Jan →
ancient6–13-0.0333%2 Jan →
mirage11–130.0217%30 Apr →
dust213–100.0018%2 Apr →
mirage13–6-0.0013%2 Apr →
nuke13–100.0418%2 Apr →
mirage15–15-0.0017%28 Mar →
anubis13–50.0820%28 Mar →
dust27–130.0436%21 Mar →
nuke13–100.0226%21 Mar →
nuke13–11-0.0518%19 Mar →
anubis13–7-0.048%6 Feb →
inferno11–130.0330%31 Oct →
mirage13–30.0726%2 Oct →
inferno13–00.1223%2 Oct →
vertigo5–130.0422%30 Nov →
vertigo7–13-0.0323%29 Nov →
vertigo3–1-0.0217%27 Nov →
nuke7–13-0.0720%27 Nov →
overpass13–20.0529%27 Nov →
nuke4–0-0.080%26 Nov →
nuke11–16-0.0211%21 Jun →
inferno9–160.0118%21 Jun →
inferno19–16-0.0414%21 Jun →
inferno10–16-0.0722%20 Jun →
inferno9–16-0.0634%20 Jun →
overpass7–16-0.078%20 Jun →
inferno22–19-0.076%20 Jun →
nuke11–16-0.0321%20 Jun →
inferno16–60.0821%19 Jun →
inferno16–8-0.0211%19 Jun →
nuke14–16-0.0115%19 Jun →
inferno16–70.0814%19 Jun →
nuke16–70.0214%19 Jun →
inferno16–12-0.0213%19 Jun →
inferno16–10.0123%18 Jun →
inferno16–11-0.0811%18 Jun →
dust21–8-0.0333%18 Jun →
overpass16–140.0011%18 Jun →
inferno16–7-0.0111%18 Jun →
inferno16–13-0.0213%15 Jun →
overpass16–110.0517%13 Jun →
nuke11–16-0.0215%11 Jun →
inferno4–16-0.0624%11 Jun →
nuke2–16-0.1112%11 Jun →
nuke15–19-0.0120%11 Jun →
inferno16–50.0716%11 Jun →
nuke16–70.0019%11 Jun →
nuke9–16-0.0111%5 Jun →
inferno16–00.0211%5 Jun →
inferno16–80.0719%5 Jun →
inferno10–16-0.0320%4 Jun →
inferno14–16-0.0113%4 Jun →
inferno16–14-0.0014%4 Jun →
inferno16–60.0520%3 Jun →
inferno16–50.0412%3 Jun →
nuke16–7-0.066%3 Jun →
mirage16–7-0.0218%31 May →
inferno16–7-0.0218%30 May →
mirage13–16-0.0115%30 May →
vertigo9–16-0.1114%29 May →
inferno10–160.0019%29 May →
inferno16–140.0135%29 May →
mirage12–16-0.0320%29 May →
overpass16–19-0.0610%29 May →
inferno12–16-0.0314%28 May →
inferno19–17-0.0413%25 May →
inferno19–17-0.007%25 May →
inferno16–80.0620%25 May →
inferno16–4-0.027%25 May →
inferno11–16-0.0112%24 May →
nuke8–16-0.0317%24 May →
dust225–22-0.0313%24 May →
ancient6–16-0.0710%23 May →
inferno16–50.0412%23 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.