haavis

haavis — CS2 Stats

76561197992155302[U:1:31889574]Steam profile ↗✓ No bans

505Tracked matches24%Win rate2020Tracked since
1,269Hours in CS
CSDB Rating3.8 LearningSupport
Premier CS Rating11,963Blue band · top ~44.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (17 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: 11,963 -5,878 2 Jun – 10 Oct · 22 days played
11,84618,979peak 18,9792 Jun10 Oct
18,979Peak Premier in tracked matches
25Days played since 2026-06-02

Premier CS Rating

  • 7,016 below peak (18,979)
  • -1,064 over 30 days · declining
  • -5,749 over 90 days
  • Next: Purple band at 15,000 — 3,037 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.4%43.8%44.8%4.4% short
Shot accuracy16.6%12.0%12.4%above
Kill/death ratio1.061.021.03above
Match win rate27.3%44.7%45.2%17.9% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhaavisFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER11,963 · Blue 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

Aim43
Positioning39
Utility69

0–100 skill scores via Leetify.

Recent form

COLD35–63–2Last 10035%Win rateLWLLWLWLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · −48ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 647ms

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 (+4.2 against its own average).

Aim4.3
Utility6.9
Positioning3.9
Opening Duels0.0
Clutch0.0

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 59% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 651ms 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

Aim4.3
Positioning3.9
Utility6.9
Mechanics6.0
Opening Duels0.3
Win Impact0.0

Composite 3.8/10 (Learning), 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-0.03+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time664ms+14ms
first ⅓ avg 650ms → last ⅓ avg 664ms
Headshot accuracy14.6%−0.4%
first ⅓ avg 15.0% → last ⅓ avg 14.6%

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

0.10Best match rating · 13–4 · inferno, 22 Aug →
39%Best headshot accuracy · 2–13 · dust2, 17 Jul →
422msFastest reaction time · 6–13 · inferno, 17 Jul →
13–1Biggest win · ancient, 6 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12Overtime games

Map breakdown

cacheBest map · 50% over 14dust2Weakest map · 18% over 28
MapGradePlayedRecordWin rateAvg rating
dust2D285–2318%-0.04
infernoB2311–1248%-0.02
cacheB147–750%-0.00
nukeC146–843%-0.05
mirageD82–625%-0.03
ancientB84–450%-0.03
anubis—40–40%-0.07
overpass—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,063Lifetime kills
1.06K/D · Top 50% of Level 5 players
3,581Matches
27.3%Match win rate
40.4%Headshot %
16.6%Shot accuracy · Top 25% of Level 5 players
4,565MVPs
1,269Hours (in match)
2,549Bombs planted
394Bombs defused

Most-used weapons

AK-4718,800
AWP10,608
P2503,822
MP73,004
SG 5532,123
UMP-452,106

Lifetime map wins

5,357inferno
3,667dust2
2,353train
1,516nuke
1,116cbble
348vertigo
58lake
33dust

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

Faceit stats

Combat

336Matches
48%Win rate
0.84Avg K/D
72.6ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno560%0.505.6
Nuke425%0.7812.8
Anubis425%0.7410.5
Overpass475%1.1611.8
Dust2333%0.7113.0
Ancient20%0.6416.0

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.

15.1%Headshot accuracy
27.3%Accuracy (enemy spotted)
29.5%Spray accuracy
76.8%Counter-strafing
8.8°Preaim
651msReaction time
26.8%T opening success
32.8%CT opening success
0.84Enemies flashed / flash
8.8%Flash assists
10.78HE damage / grenade
7.28Flashes / 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

    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 26.8196% — 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.

18% win rate across 28 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
mirage8–13-0.0518%10 Oct →
mirage16–130.0616%10 Oct →
ancient4–13-0.018%10 Oct →
inferno5–13-0.0711%10 Oct →
cache13–70.0511%10 Oct →
dust20–13-0.0822%10 Oct →
nuke13–10-0.0711%4 Oct →
dust210–13-0.0633%4 Oct →
mirage10–13-0.0415%4 Oct →
dust212–16-0.0211%4 Oct →
inferno1–13-0.0217%3 Oct →
cache13–20.0812%3 Oct →
cache15–15-0.0014%3 Oct →
mirage2–13-0.0413%3 Oct →
inferno13–40.0915%3 Oct →
dust212–16-0.0614%3 Oct →
anubis3–13-0.126%26 Sept →
dust29–13-0.0417%26 Sept →
dust23–13-0.0311%26 Sept →
mirage1–13-0.096%6 Sept →
inferno13–100.0213%6 Sept →
dust29–130.0117%6 Sept →
dust27–13-0.0111%30 Aug →
cache2–13-0.080%29 Aug →
nuke0–13-0.1030%29 Aug →
nuke9–13-0.0123%29 Aug →
cache10–130.0123%29 Aug →
dust213–90.0411%29 Aug →
dust214–16-0.0221%29 Aug →
inferno4–13-0.0413%29 Aug →
inferno13–5-0.0710%29 Aug →
inferno10–13-0.0514%24 Aug →
dust23–13-0.0713%24 Aug →
nuke13–2-0.056%24 Aug →
dust214–160.0118%22 Aug →
inferno13–40.1017%22 Aug →
ancient2–13-0.0212%22 Aug →
cache13–6-0.0316%22 Aug →
inferno13–3-0.0210%22 Aug →
nuke13–7-0.0615%17 Aug →
dust213–11-0.0626%17 Aug →
nuke5–130.0014%17 Aug →
inferno2–13-0.0713%17 Aug →
dust215–15-0.0217%9 Aug →
inferno7–13-0.0216%9 Aug →
cache13–10-0.0216%9 Aug →
nuke13–60.0615%6 Aug →
ancient13–1-0.0010%6 Aug →
dust26–13-0.0215%6 Aug →
inferno16–120.0116%1 Aug →
ancient13–9-0.0218%1 Aug →
dust213–90.0011%1 Aug →
anubis7–13-0.0814%1 Aug →
nuke7–13-0.079%1 Aug →
cache8–13-0.0423%24 Jul →
mirage9–13-0.0112%24 Jul →
dust23–13-0.0524%24 Jul →
ancient13–10-0.0518%24 Jul →
nuke4–13-0.0521%24 Jul →
inferno4–130.0211%24 Jul →
cache13–100.0011%24 Jul →
cache10–130.0212%22 Jul →
inferno16–13-0.0311%22 Jul →
dust29–13-0.0511%22 Jul →
dust21–13-0.107%17 Jul →
nuke7–13-0.0512%17 Jul →
inferno6–13-0.046%17 Jul →
inferno8–13-0.0516%17 Jul →
mirage6–13-0.0519%17 Jul →
dust22–13-0.0939%17 Jul →
anubis4–13-0.073%17 Jul →
nuke3–13-0.0714%17 Jul →
ancient5–13-0.038%17 Jul →
cache13–5-0.0111%17 Jul →
dust20–13-0.100%17 Jul →
cache16–13-0.0125%15 Jul →
inferno1–13-0.1221%15 Jul →
inferno16–120.0218%15 Jul →
ancient13–100.0017%13 Jul →
dust213–10-0.0315%13 Jul →
nuke13–5-0.0612%13 Jul →
inferno13–10.0316%13 Jul →
cache5–13-0.0316%10 Jul →
ancient10–13-0.0912%9 Jul →
cache10–13-0.0016%9 Jul →
dust29–13-0.0616%2 Jul →
inferno7–13-0.0712%2 Jul →
overpass9–13-0.028%2 Jul →
dust29–130.0119%25 Jun →
inferno13–5-0.045%20 Jun →
anubis5–13-0.029%20 Jun →
mirage13–3-0.0411%20 Jun →
dust26–13-0.0220%20 Jun →
inferno13–1-0.049%20 Jun →
dust213–4-0.0524%20 Jun →
dust23–13-0.1211%9 Jun →
inferno14–16-0.0311%9 Jun →
nuke13–9-0.0325%9 Jun →
nuke5–13-0.1022%2 Jun →
dust28–13-0.0418%2 Jun →

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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