huuhtane

huuhtane — CS2 Stats

FI76561199018720316[U:1:1058454588]Steam profile ↗✓ No bans

410Tracked matches55%Win rate2025Tracked since
413Hours in CS59Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating9,417Light Blue band · top ~57.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (2 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: 9,417 +28 18 Oct – 4 Nov · 9 days played
7,8439,417peak 9,41718 Oct4 Nov
9,789Peak Premier in tracked matches
19Days played since 2026-10-15

Premier CS Rating

  • At peak — 9,417
  • Next: Blue band at 10,000 — 583 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate45.9%39.9%42.0%above
Shot accuracy0.9%7.0%9.6%8.7% short
Kill/death ratio0.840.920.980.13 short
Match win rate37.9%42.3%43.8%5.9% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGhuuhtanePREMIER9,417 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning63
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLWWLWLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −2.1pp headshot accuracy · +73ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 705ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 659ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 623ms

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 (+2.9 against its own average).

Aim6.0
Utility0.9
Positioning6.3
Opening Duels3.1

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 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 634ms 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

Aim6.0
Positioning6.3
Utility0.9
Mechanics4.9
Opening Duels4.9
Win Impact6.7

Composite 4.6/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time610ms+11ms
first ⅓ avg 599ms → last ⅓ avg 610ms
Headshot accuracy18.4%+1.9%
first ⅓ avg 16.5% → last ⅓ avg 18.4%

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

0.23Best match rating · 9–2 · inferno, 26 Oct →
35%Best headshot accuracy · 13–10 · nuke, 23 Oct →
406msFastest reaction time · 7–9 · inferno, 26 Oct →
13–0Biggest win · mirage, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 88% over 8dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.00
mirageB1910–953%0.01
nukeB168–850%0.02
dust2D124–833%-0.02
ancientS87–188%0.01
officeC83–538%0.01
anubisD62–433%-0.01
cache—30–30%0.02
vertigo—21–150%-0.02
overpass—21–150%0.03
train—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,584Lifetime kills
0.84K/D
662Matches
37.9%Match win rate
45.9%Headshot % · Top 25% of Light Blue band
0.9%Shot accuracy
1,310MVPs
375Hours (in match)
331Bombs planted
117Bombs defused

Most-used weapons

Lifetime map wins

868inferno
717nuke
539dust2
517office
325vertigo
155train
59lake
13italy

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.

16.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.6%Spray accuracy
72.1%Counter-strafing
8.4°Preaim
634msReaction time
49.6%T opening success
49.3%CT opening success
0.06Enemies flashed / flash
0.0%Flash assists
8.27HE damage / grenade
0.11Flashes / 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 0.0551 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 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
anubis11–13-0.0510%4 Nov →
inferno4–9-0.0021%4 Nov →
dust213–50.0217%4 Nov →
nuke13–10-0.0312%4 Nov →
nuke10–130.0216%3 Nov →
mirage13–60.0522%3 Nov →
dust27–13-0.0211%3 Nov →
mirage13–30.0116%3 Nov →
mirage16–14-0.0317%3 Nov →
inferno9–6-0.0519%1 Nov →
mirage9–13-0.0215%1 Nov →
nuke10–130.1129%1 Nov →
inferno6–9-0.0723%1 Nov →
train4–13-0.065%1 Nov →
ancient13–70.0520%31 Oct →
dust213–70.0419%31 Oct →
nuke4–13-0.0232%31 Oct →
dust213–10-0.059%31 Oct →
nuke13–40.0018%31 Oct →
mirage11–13-0.0214%31 Oct →
cache6–130.0217%31 Oct →
inferno8–8-0.0419%30 Oct →
inferno9–40.0232%30 Oct →
inferno9–30.0815%30 Oct →
inferno8–8-0.069%30 Oct →
inferno5–9-0.0820%30 Oct →
inferno7–9-0.0127%30 Oct →
inferno9–40.1020%30 Oct →
inferno9–60.0818%30 Oct →
anubis8–13-0.0217%30 Oct →
nuke13–50.0029%30 Oct →
mirage13–30.0126%30 Oct →
office13–70.0811%29 Oct →
vertigo5–13-0.0510%29 Oct →
dust21–13-0.0715%29 Oct →
mirage11–40.0321%29 Oct →
nuke4–13-0.0316%29 Oct →
inferno13–30.1126%29 Oct →
vertigo13–80.0116%28 Oct →
cache12–120.0114%28 Oct →
ancient13–110.0411%28 Oct →
anubis13–110.0714%28 Oct →
office13–9-0.0613%28 Oct →
dust213–6-0.0713%28 Oct →
nuke13–90.0416%28 Oct →
mirage8–2-0.0310%28 Oct →
mirage6–130.0213%27 Oct →
office12–12-0.0614%26 Oct →
mirage12–120.0114%26 Oct →
nuke13–30.0323%26 Oct →
dust26–130.0331%26 Oct →
inferno7–90.0316%26 Oct →
inferno9–20.2319%26 Oct →
anubis9–13-0.0415%25 Oct →
ancient13–8-0.0529%25 Oct →
inferno13–6-0.0713%25 Oct →
nuke7–130.0220%25 Oct →
nuke13–110.026%25 Oct →
ancient13–50.0213%25 Oct →
nuke13–90.079%25 Oct →
mirage6–13-0.0217%25 Oct →
mirage10–13-0.0515%24 Oct →
dust26–13-0.0316%24 Oct →
inferno14–160.0210%23 Oct →
mirage5–130.0620%23 Oct →
nuke13–100.0335%23 Oct →
office6–130.0015%22 Oct →
mirage10–13-0.0131%22 Oct →
office12–120.1119%20 Oct →
office13–30.0919%20 Oct →
mirage7–130.0521%20 Oct →
ancient2–130.0311%20 Oct →
ancient13–40.014%19 Oct →
inferno13–100.010%19 Oct →
office6–13-0.0631%19 Oct →
nuke2–130.1315%19 Oct →
dust27–13-0.0222%19 Oct →
inferno5–13-0.0718%19 Oct →
nuke2–13-0.0911%19 Oct →
inferno9–6-0.0818%19 Oct →
ancient13–3-0.0314%18 Oct →
inferno11–13-0.095%18 Oct →
cache8–130.0419%18 Oct →
dust29–130.0317%18 Oct →
inferno13–5-0.040%18 Oct →
anubis14–16-0.0511%18 Oct →
mirage13–00.1324%18 Oct →
mirage13–6-0.0119%18 Oct →
dust20–3-0.120%17 Oct →
overpass13–110.1118%17 Oct →
office8–130.0116%17 Oct →
ancient13–110.0213%17 Oct →
nuke6–13-0.0118%17 Oct →
overpass3–13-0.0620%16 Oct →
anubis13–70.0212%16 Oct →
dust27–130.0121%16 Oct →
mirage13–20.0329%16 Oct →
mirage7–1-0.0224%16 Oct →
inferno9–70.0526%16 Oct →
inferno2–13-0.0221%15 Oct →

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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