GG_Hällström

GG_Hällström — CS2 Stats

FI76561199297182093[U:1:1336916365]Steam profile ↗✓ No bans

913Tracked matches59%Win rate2022Tracked since
1,134Hours in CS10Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating12,525Blue band · top ~41.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (5 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: 12,525 +1,664 26 Jul – 7 Oct · 21 days played
10,86113,185peak 13,18526 Jul7 Oct
13,220Peak Premier in tracked matches
32Days played since 2026-07-26

Premier CS Rating

  • 660 below peak (13,185)
  • -303 over 30 days · steady
  • Next: Purple band at 15,000 — 2,475 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.5%42.0%44.3%6.9% short
Shot accuracy4.8%9.6%11.9%7.0% short
Kill/death ratio0.770.981.030.27 short
Match win rate44.1%43.8%45.2%1.1% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGGG_HällströmPREMIER12,525 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning56
Utility66

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLLTTLLLLL

Last 10 vs previous 10: −80pp win rate · −0.05 avg rating · +0.3pp headshot accuracy · +50ms reaction

Win rate down 80pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–3–2 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 689ms

Last 10

  • 0–8–2 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim4.6
Utility6.6
Positioning5.6
Opening Duels3.1

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

ZywOo

Plays most like ZywOo 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 52% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 612ms 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

Aim4.6
Positioning5.6
Utility6.6
Mechanics5.4
Opening Duels3.4
Win Impact8.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.04
first ⅓ avg -0.05 → last ⅓ avg -0.01
Reaction time611ms−52ms
first ⅓ avg 663ms → last ⅓ avg 611ms
Headshot accuracy12.6%−1.1%
first ⅓ avg 13.7% → last ⅓ avg 12.6%

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

0.15Best match rating · 13–5 · office, 7 Sept →
32%Best headshot accuracy · 3–13 · mirage, 1 Aug →
438msFastest reaction time · 13–11 · inferno, 4 Sept →
13–1Biggest win · anubis, 23 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L3Current streak
4–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 60% over 10dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientD206–1430%-0.02
infernoA1911–858%-0.01
nukeB179–853%-0.01
anubisB136–746%-0.01
cacheA106–460%0.00
dust2D81–713%-0.05
office—42–250%0.02
vertigo—43–175%-0.00
mirage—20–20%-0.11
train—11–0100%0.01
italy—11–0100%-0.03
overpass—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,715Lifetime kills
0.77K/D
1,320Matches
44.1%Match win rate · Top 50% of Blue band
37.5%Headshot %
4.8%Shot accuracy
2,245MVPs
544Hours (in match)
1,959Bombs planted
274Bombs defused

Most-used weapons

Lifetime map wins

2,653nuke
2,596inferno
783vertigo
751dust2
566train
94office
87italy
9cbble

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

Skill profile

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

12.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.5%Spray accuracy
74.2%Counter-strafing
11.4°Preaim
612msReaction time
51.6%T opening success
35.7%CT opening success
0.65Enemies flashed / flash
9.8%Flash assists
10.71HE damage / grenade
9.80Flashes / 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 12.2538% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.7431% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0811%7 Oct →
nuke4–13-0.0313%7 Oct →
dust25–13-0.063%7 Oct →
nuke15–150.0519%7 Oct →
anubis15–15-0.0417%2 Oct →
dust24–13-0.0115%2 Oct →
dust211–13-0.054%1 Oct →
ancient8–13-0.0416%1 Oct →
ancient9–13-0.039%28 Sept →
dust210–13-0.0719%28 Sept →
cache13–40.0914%28 Sept →
ancient13–8-0.009%24 Sept →
ancient8–130.0316%24 Sept →
ancient7–13-0.0719%23 Sept →
ancient13–5-0.026%23 Sept →
nuke9–4-0.0810%23 Sept →
anubis13–10.0922%23 Sept →
anubis13–4-0.009%16 Sept →
anubis13–70.0210%16 Sept →
anubis13–30.119%16 Sept →
dust213–30.018%14 Sept →
nuke13–6-0.0116%14 Sept →
cache13–2-0.028%14 Sept →
inferno13–11-0.047%9 Sept →
nuke13–10-0.067%9 Sept →
dust21–13-0.0412%7 Sept →
office12–12-0.027%7 Sept →
office13–50.1512%7 Sept →
inferno13–60.0115%5 Sept →
cache13–50.0323%5 Sept →
nuke13–30.0515%4 Sept →
inferno13–11-0.0319%4 Sept →
nuke5–13-0.0717%4 Sept →
vertigo13–30.0614%4 Sept →
office3–13-0.0230%4 Sept →
inferno7–13-0.036%3 Sept →
inferno13–7-0.0319%3 Sept →
inferno10–130.0521%31 Aug →
ancient13–80.0310%27 Aug →
cache3–13-0.0814%26 Aug →
cache13–1-0.029%24 Aug →
nuke8–13-0.028%22 Aug →
anubis7–130.036%22 Aug →
inferno16–140.0214%22 Aug →
cache5–13-0.0210%22 Aug →
anubis6–13-0.0626%22 Aug →
anubis13–16-0.015%22 Aug →
anubis11–130.019%22 Aug →
ancient15–150.0115%22 Aug →
nuke13–40.0312%22 Aug →
nuke13–70.0520%22 Aug →
ancient9–13-0.066%21 Aug →
cache13–30.0618%21 Aug →
inferno9–130.1314%21 Aug →
nuke9–130.0013%21 Aug →
nuke11–130.0413%21 Aug →
ancient13–60.049%18 Aug →
ancient4–13-0.068%18 Aug →
inferno13–50.1414%18 Aug →
ancient11–13-0.0111%17 Aug →
inferno13–60.0014%17 Aug →
inferno5–13-0.0411%16 Aug →
inferno13–110.0116%16 Aug →
ancient9–13-0.018%16 Aug →
inferno5–130.0814%16 Aug →
train13–80.0111%15 Aug →
cache11–130.0212%15 Aug →
office13–8-0.0311%15 Aug →
ancient2–13-0.0414%7 Aug →
ancient3–130.0219%5 Aug →
vertigo13–5-0.0531%3 Aug →
vertigo13–7-0.0413%3 Aug →
anubis9–13-0.146%3 Aug →
anubis0–9-0.1417%1 Aug →
inferno9–13-0.066%1 Aug →
dust24–13-0.1117%1 Aug →
mirage3–13-0.0832%1 Aug →
nuke13–16-0.0316%31 Jul →
nuke13–90.007%31 Jul →
mirage2–13-0.1313%31 Jul →
anubis13–90.0114%29 Jul →
nuke13–5-0.099%29 Jul →
inferno13–9-0.0522%29 Jul →
ancient13–5-0.055%29 Jul →
cache8–13-0.0416%28 Jul →
inferno13–9-0.057%28 Jul →
ancient5–13-0.0614%28 Jul →
ancient13–5-0.048%28 Jul →
ancient6–13-0.027%27 Jul →
ancient11–13-0.0313%27 Jul →
anubis13–6-0.0310%27 Jul →
nuke13–70.0118%27 Jul →
inferno5–13-0.1112%27 Jul →
inferno6–13-0.0715%27 Jul →
italy13–8-0.0329%27 Jul →
nuke7–13-0.077%27 Jul →
inferno13–10-0.0211%26 Jul →
cache13–70.0312%26 Jul →
overpass1–13-0.0913%26 Jul →
vertigo7–130.029%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
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.