HA HA HAALAND

HA HA HAALAND — CS2 Stats

AU76561198699207968[U:1:738942240]Steam profile ↗✓ No bans

302Tracked matches63%Win rate2026Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating4,254Grey band · top ~82% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+342Premier CS Rating · 3,912 → 4,254

Rating over time

Premier CS Rating: 4,254 -331 26 Sept – 23 Oct · 24 days played
2,9294,585peak 4,58526 Sept23 Oct
4,889Peak Premier in tracked matches
24Days played since 2026-09-26

Premier CS Rating

  • 331 below peak (4,585)
  • -331 over 30 days · steady
  • Next: Light Blue band at 5,000 — 746 to go

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

Share this profile

CSDB.GGHA HA HAALANDPREMIER4,254 · Grey 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

Aim55
Positioning63
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWWWLWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.9pp headshot accuracy · −90ms 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 -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 530ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 518ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 563ms

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 (+1.5 against its own average).

Aim5.5
Utility3.9
Positioning6.3
Opening Duels4.2

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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5
Positioning6.3
Utility3.9
Mechanics4.2
Opening Duels5.6
Win Impact9.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time584ms−7ms
first ⅓ avg 591ms → last ⅓ avg 584ms
Headshot accuracy10.8%−2.1%
first ⅓ avg 12.9% → last ⅓ avg 10.8%

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

0.15Best match rating · 13–2 · dust2, 14 Oct →
24%Best headshot accuracy · 13–1 · mirage, 16 Oct →
438msFastest reaction time · 13–2 · inferno, 21 Oct →
13–1Biggest win · mirage, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 62% over 21anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.00
dust2A2113–862%-0.00
cacheB168–850%-0.01
infernoD155–1033%-0.01
anubisD103–730%-0.02
nukeD103–730%0.00
ancientA53–260%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.4%Headshot accuracy
35.6%Accuracy (enemy spotted)
34.1%Spray accuracy
68.8%Counter-strafing
8.6°Preaim
577msReaction time
63.5%T opening success
41.6%CT opening success
0.50Enemies flashed / flash
4.3%Flash assists
7.53HE damage / grenade
3.39Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.368% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4955 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0214%23 Oct →
dust27–2-0.078%23 Oct →
cache13–100.049%22 Oct →
cache10–130.042%22 Oct →
anubis13–11-0.026%21 Oct →
dust213–110.0213%21 Oct →
inferno13–20.025%21 Oct →
dust29–13-0.026%21 Oct →
anubis14–160.005%20 Oct →
inferno2–13-0.0118%20 Oct →
ancient13–50.0114%20 Oct →
mirage13–10-0.005%20 Oct →
inferno13–4-0.0512%20 Oct →
anubis8–13-0.068%20 Oct →
mirage13–2-0.0520%20 Oct →
cache13–110.0413%20 Oct →
anubis5–13-0.0516%20 Oct →
ancient7–13-0.066%20 Oct →
inferno8–13-0.054%19 Oct →
mirage4–13-0.035%19 Oct →
mirage13–50.0220%18 Oct →
anubis13–50.0013%18 Oct →
nuke13–4-0.0316%18 Oct →
mirage5–00.078%18 Oct →
mirage13–70.0610%18 Oct →
cache16–13-0.0319%17 Oct →
inferno5–13-0.0911%17 Oct →
dust213–6-0.009%17 Oct →
mirage10–130.0211%17 Oct →
ancient13–50.059%16 Oct →
mirage13–1-0.0624%16 Oct →
dust210–13-0.0413%16 Oct →
mirage13–7-0.025%16 Oct →
mirage13–30.0623%16 Oct →
cache13–90.0716%15 Oct →
anubis7–130.015%15 Oct →
dust213–60.013%15 Oct →
dust25–13-0.087%15 Oct →
inferno13–80.0420%15 Oct →
dust28–130.0415%15 Oct →
anubis9–13-0.029%14 Oct →
mirage10–13-0.0112%14 Oct →
mirage13–110.0511%14 Oct →
mirage4–13-0.025%14 Oct →
dust213–20.157%14 Oct →
dust213–60.0211%14 Oct →
dust211–13-0.0511%13 Oct →
dust213–16-0.0314%12 Oct →
inferno11–13-0.068%12 Oct →
inferno12–160.027%12 Oct →
mirage2–13-0.096%12 Oct →
nuke13–80.016%12 Oct →
ancient13–9-0.053%11 Oct →
cache16–14-0.017%11 Oct →
anubis11–13-0.009%11 Oct →
inferno10–130.0015%11 Oct →
dust213–40.0218%11 Oct →
cache7–13-0.0510%11 Oct →
mirage5–13-0.018%10 Oct →
anubis13–11-0.0113%10 Oct →
cache13–7-0.019%10 Oct →
nuke9–130.026%10 Oct →
dust213–110.0610%10 Oct →
dust213–110.0112%10 Oct →
mirage16–14-0.0115%10 Oct →
cache3–13-0.028%9 Oct →
inferno13–8-0.028%9 Oct →
nuke13–80.0115%9 Oct →
nuke10–130.0311%9 Oct →
dust213–90.0414%8 Oct →
dust213–7-0.0312%8 Oct →
inferno15–150.0310%8 Oct →
inferno7–40.0715%8 Oct →
nuke9–130.028%6 Oct →
nuke7–130.0218%6 Oct →
dust213–70.0210%5 Oct →
nuke10–130.0118%5 Oct →
mirage13–4-0.025%4 Oct →
mirage10–130.019%4 Oct →
inferno11–13-0.0316%3 Oct →
dust22–13-0.0416%3 Oct →
mirage13–90.0216%3 Oct →
nuke10–13-0.0310%3 Oct →
inferno7–13-0.0118%3 Oct →
nuke4–13-0.0619%2 Oct →
cache5–13-0.0523%2 Oct →
cache13–20.0610%2 Oct →
cache9–13-0.0419%2 Oct →
cache10–130.0011%2 Oct →
cache13–90.0315%2 Oct →
inferno13–16-0.0115%2 Oct →
mirage8–13-0.0016%2 Oct →
ancient13–16-0.0411%28 Sept →
dust212–16-0.0516%27 Sept →
cache11–13-0.0611%27 Sept →
mirage10–13-0.058%27 Sept →
dust213–10-0.057%27 Sept →
mirage5–13-0.0012%26 Sept →
cache3–13-0.0911%26 Sept →
anubis5–13-0.050%26 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.