HUURU2

HUURU2 — CS2 Stats

FI76561199570024051[U:1:1609758323]Steam profile ↗✓ No bans

856Tracked matches40%Win rate2024Tracked since
206Hours in CS
CSDB Rating3.4 LearningSupport
Premier CS Rating7,718Light Blue band · top ~65.8% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 7,718 -3,923 30 Aug – 1 Nov · 7 days played
7,71811,641peak 11,64130 Aug1 Nov
11,641Peak Premier in tracked matches
20Days played since 2026-08-30

Premier CS Rating

  • 3,923 below peak (11,641)
  • Next: Blue band at 10,000 — 2,282 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 rate42.3%39.9%42.0%meets
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio1.090.920.98above
Match win rate47.2%42.3%43.8%above

This profile matches the typical Blue band player on 3 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.GGHUURU2PREMIER7,718 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

COLD41–53–6Last 10041%Win rateWLTWLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −5.8pp headshot accuracy · +71ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 736ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 700ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 665ms

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 (+0.9 against its own average).

Aim3.4
Utility5.8
Positioning5.4
Opening Duels3.5

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

m0NESY

Plays most like m0NESY 61% 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

Reaction time. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim3.4
Positioning5.4
Utility5.8
Mechanics1.5
Opening Duels4.0
Win Impact1.7

Composite 3.4/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time660ms+70ms
first ⅓ avg 590ms → last ⅓ avg 660ms
Headshot accuracy13.8%−0.8%
first ⅓ avg 14.6% → last ⅓ avg 13.8%

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

0.26Best match rating · 9–2 · inferno, 8 Oct →
45%Best headshot accuracy · 9–4 · inferno, 15 Oct →
414msFastest reaction time · 9–4 · inferno, 15 Oct →
13–4Biggest win · inferno, 26 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–13In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 63% over 8nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC3616–2044%0.01
nukeD164–1225%-0.04
anubisD103–730%0.01
eldoradoD93–633%-0.05
dust2A95–456%-0.00
vertigoA85–363%-0.01
ancientB63–350%-0.02
mirage—42–250%-0.00
train—10–10%-0.06
cache—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,295Lifetime kills
1.09K/D · Top 25% of Light Blue band
911Matches
47.2%Match win rate · Top 25% of Light Blue band
42.3%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
3,189MVPs
206Hours (in match)
837Bombs planted
155Bombs defused

Most-used weapons

Lifetime map wins

3,690inferno
1,117nuke
751vertigo
299dust2
30train
13office
1ar_shoots

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.

12.0%Headshot accuracy
37.6%Accuracy (enemy spotted)
38.3%Spray accuracy
56.9%Counter-strafing
12.4°Preaim
660msReaction time
45.7%T opening success
46.6%CT opening success
0.56Enemies flashed / flash
6.3%Flash assists
9.62HE damage / grenade
11.77Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4381° — above the 12° mark we flag

    Aim Training →
  2. 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 12.0031% — below the 15% mark we flag

    Aim Training →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
eldorado9–40.0514%1 Nov →
nuke5–9-0.1813%1 Nov →
vertigo8–80.0313%1 Nov →
inferno9–6-0.0614%1 Nov →
nuke14–16-0.0112%1 Nov →
anubis10–130.039%28 Oct →
nuke9–13-0.064%27 Oct →
inferno10–130.012%27 Oct →
mirage13–16-0.057%27 Oct →
inferno4–9-0.1410%27 Oct →
anubis8–130.0217%27 Oct →
inferno2–13-0.078%27 Oct →
inferno9–60.1324%27 Oct →
inferno4–9-0.1317%27 Oct →
inferno7–9-0.0121%27 Oct →
inferno4–9-0.005%27 Oct →
inferno4–9-0.0815%27 Oct →
inferno9–10.1210%26 Oct →
eldorado3–9-0.1228%26 Oct →
ancient10–130.0512%26 Oct →
inferno13–40.0320%26 Oct →
nuke9–20.1244%26 Oct →
inferno8–80.0120%26 Oct →
inferno2–8-0.070%25 Oct →
inferno9–60.1417%25 Oct →
ancient7–13-0.018%23 Oct →
anubis9–130.026%23 Oct →
inferno16–130.0216%23 Oct →
nuke9–130.0312%23 Oct →
nuke3–9-0.097%22 Oct →
inferno9–60.0618%22 Oct →
inferno3–13-0.1014%22 Oct →
mirage13–70.0622%22 Oct →
dust29–13-0.0611%22 Oct →
anubis13–90.058%22 Oct →
ancient16–14-0.076%22 Oct →
anubis8–130.0023%21 Oct →
anubis13–7-0.047%21 Oct →
ancient13–11-0.0514%21 Oct →
nuke7–90.0113%21 Oct →
inferno9–7-0.0215%21 Oct →
dust211–130.0314%21 Oct →
dust213–50.0124%21 Oct →
nuke11–13-0.0414%20 Oct →
anubis13–4-0.0114%20 Oct →
ancient13–10-0.0315%20 Oct →
nuke13–9-0.0411%20 Oct →
dust213–100.0311%20 Oct →
mirage11–13-0.0419%20 Oct →
vertigo9–6-0.0527%20 Oct →
eldorado9–4-0.0120%20 Oct →
nuke3–9-0.1033%20 Oct →
inferno9–70.0527%20 Oct →
dust26–13-0.0213%19 Oct →
dust213–9-0.0319%19 Oct →
dust213–60.0224%19 Oct →
anubis11–130.0113%19 Oct →
vertigo13–8-0.019%15 Oct →
eldorado9–40.0911%15 Oct →
vertigo9–70.1113%15 Oct →
nuke6–9-0.083%15 Oct →
inferno9–30.0915%15 Oct →
eldorado7–90.0217%15 Oct →
inferno9–40.0545%15 Oct →
mirage13–50.028%9 Oct →
dust213–11-0.0316%8 Oct →
inferno9–20.2611%8 Oct →
eldorado4–9-0.169%8 Oct →
inferno8–80.1717%8 Oct →
anubis8–13-0.0315%7 Oct →
train5–13-0.0627%7 Oct →
inferno4–90.0232%7 Oct →
inferno1–9-0.134%7 Oct →
nuke11–130.0614%7 Oct →
nuke8–8-0.0011%7 Oct →
vertigo7–9-0.1016%7 Oct →
inferno9–70.0121%7 Oct →
inferno7–90.0119%30 Sept →
eldorado6–9-0.1112%29 Sept →
inferno9–20.126%29 Sept →
ancient10–13-0.0411%29 Sept →
vertigo3–9-0.1818%29 Sept →
inferno9–70.0514%29 Sept →
cache11–130.0116%26 Sept →
inferno8–13-0.0611%26 Sept →
inferno6–9-0.0810%26 Sept →
anubis11–130.0216%25 Sept →
inferno2–130.0517%25 Sept →
nuke13–110.0013%25 Sept →
inferno6–9-0.069%25 Sept →
eldorado8–8-0.110%25 Sept →
vertigo9–50.014%25 Sept →
nuke2–9-0.2417%25 Sept →
inferno8–80.0012%25 Sept →
dust21–100.0313%24 Sept →
inferno6–9-0.137%23 Sept →
eldorado4–9-0.1221%23 Sept →
nuke9–50.0421%23 Sept →
vertigo9–30.1015%23 Sept →
inferno9–30.1336%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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